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IEEE Smart Grid Research, brought to you via the IEEE Xplore Digital Library , is a portfolio of smart-grid related intelligence, including vision documents and research papers that address problems and challenges in both the long- and short-term.

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IEEE Smart Grid Research is a collaborative effort that leverages the work of more than 100 industry experts and pioneers in the field to share a view of the future of smart grid as far as 2030 and beyond. These insights are essential to business planning, research, and reference.

It provides detailed long-term and short-term projections of smart grid industry evolution, technology challenges and opportunities, and areas requiring additional research to help you prepare for what is to come.

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• Materials will address projections of where the smart grid will evolve to, technology challenges and opportunities, and areas where additional research is needed.
• Potential use cases, application scenarios, and enabling technologies are included to deliver the most complete picture possible of the next generation of technology in each respective smart grid space.
• The insights gained can shape the future of your organization and help you prepare for what's to come.
• Stay ahead of competitors with access to key information that will help drive your goals for the future.
• Learn more about the latest advancements in the industry right from the experts.

* Please note: Vehicle Technology is the only bundle that does not include a Reference Model document.

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IEEE Transactions on Smart Grid

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Impact Factor: 8.6

The IEEE Transactions on Smart Grid is a cross disciplinary journal aimed at disseminating results of research on and development of the smart grid, which encompasses energy networks where prosumers, electric transportation, distributed energy resources, and communications are integral and interactive components, as in the case of microgrids and active distribution networks interfaced with transmission systems. The journal publishes original research on theories and principles of smart grid technologies and systems, used in demand response, Advance Metering Infrastructure, cyber-physical systems, multi-energy systems, transactive energy, data analytics, and EV integration. Surveys of existing work on the smart grid may also be considered for publication when they propose a new viewpoint on history and a challenging perspective on the future of intelligent and active grids.

Paper Categories

Topics within the journal scope:.

• Ac/dc microgrids
• Ac/dc Active Distribution Networks (ADNs)
• Multi-energy systems
• Demand Response (DR) and Demand Side Management (DSM)
• Distributed Energy Resources (DER) interactions and integration with power grids
• Smart sensors, meters, and Advance Metering Infrastructure (AMI)
• PMU hardware/software and applications for distribution systems
• EV power grid integration and impact
• Peer-to-peer, transactive energy, blockchain power grid applications
• Cyber-physical and cybersecurity power grid applications
• Data analytics and big data applications to microgrids and ADNs
• Application of telecommunication technologies to power systems

Examples of topics out-of-scope:

• Transmission system Renewable Energy Sources (RES)
• DER hardware and internal controls
• Non-active distribution networks
• Transmission system load and price forecast, markets, and AI applications
• Transmission system protections
• Power Line Carrier (PLC) communications
• DC transmission systems
• PMU hardware/software and applications for transmission systems such as WAMS and WACS
• Economic, pricing, and market framework issues of DR/DSM, ADNs, microgrids, DERs, EVs, and multi-energy systems

Types of Papers Published

Research Papers  are expected to present innovative solutions, novel concepts, or creative ideas that can help to address existing or emerging technical challenges in the field of power engineering. Papers that are visionary and promise significant advances in the coming years are welcome.

Application Papers  share valuable industry experiences on dealing with challenging technical issues, developing/adopting new standards, applying new technologies or solving complex problems. Papers that can have a significant impact on industry practices in the coming years are welcome.  These kinds of papers should be led by industry experts and/or have co-authors with industry affiliations.

Review Papers  are expected to provide insightful and expert reviews, tutorials, or study cases on an important, timely and widely-interested topic in power engineering. Papers whose analysis, insights and recommendations are original and may have a significant impact on the research and/or application activities in the subject area are welcome.  These types of papers should be authored/co-authored by widely recognized experts in the topic presented.  If the paper exceeds the min. number of pages for the first submission, pre-approval before submission is required by the EIC, who will assess the content, the topic relevance, and the authors reputation in the field.

Peer Review

The articles in this journal are peer reviewed in accordance with the requirements set forth in the IEEE Publication Services and Products Board Operations Manual . Each published article was reviewed by a minimum of two independent reviewers using a single-anonymous peer review process, where the identities of the reviewers are not known to the authors, but the reviewers know the identities of the authors. Articles will be screened for plagiarism before acceptance.

About resubmission of a rejected paper Rejected papers should not be resubmitted without being substantially revised. After revision, rejected papers can be resubmitted no sooner than 3 months after the date of the rejection. A resubmitted paper will be treated as new submission and must adhere to the same page limit as any other newly submitted paper. If the paper is rejected for the second time, the paper cannot be resubmitted any more even if further modified. The authors must also indicate in the letter to the editor how the paper has been modified. Since the resubmitted paper is not treated as a revision, the authors should not include a separate document in which they address the comments of the reviewers. All modifications should be briefly stated in the letter to the editor. If the paper was rejected from one of the PES journals and the authors have revised the paper and resubmit it to another PES journal they must also indicate in the letter to the editor which journal the paper was submitted to originally and what was the reference number of the rejected paper.

Policy on papers published at PES financially sponsored conferences: The Authors who have presented the paper(s) at the IEEE PES financially sponsored conference including PES General Meeting, PES Innovative Smart Grid Technologies (USA, Latin America, Europe, Asia), PES PowerTech and PES PowerAfrica are eligible to submit the extended version of their conference paper(s) to one of IEEE PES Transactions for consideration of publication. The extended paper requires at least 60% additional new material relative to the original conference paper and is subject to a regular review process of the respective PES Transactions. The original conference paper should be referenced in the extended journal paper and new contributions with respect to the conference paper clearly identified. The final decision for publication on the extended paper is made by the Editor-in-Chief of the respective journal.

Open Access

This publication is a hybrid journal, allowing either Traditional manuscript submission or Open Access (author-pays OA) manuscript submission.

The OA option, if selected, enables unrestricted public access to the article via IEEE Xplore. The OA option will be offered to the author at the time the manuscript is submitted. If selected, the OA discounted fee of $2,495 must be paid before the article is published in the journal. If you have unusual circumstances about this, please contact the Editor-in-Chief. Any other applicable charges (such as the over-length page charge and/or charge for the use of color in the print format) will be billed separately once the manuscript formatting is complete but prior to the publication. 

The traditional option, if selected, enables access to all qualified subscribers and purchasers via IEEE Xplore. No OA payment is required.

Table of Contents & Abstracts

Volume 15, Number 5, September 2024

Volume 15, Number 4, July 2024

Volume 15, Number 3, May 2024

Volume 15, Number 2, March 2024

Volume 15, Number 1, January 2024

Volume 14, Number 5, September 2023

Volume 14, Number 4, July 2023

Volume 14, Number 3, May 2023

Volume 14, Number 2, March 2023

Volume 14, Number 1, January 2023

Volume 13, Number 6, November 2022

Volume 13, Number 5, September 2022

Volume 13, Number 4, July 2022

Volume 13, Number 3, May 2022

Volume 13, Number 2, March 2022

Volume 13, Number 1, January 2022

Editorial Board

Smart Grid Associate Editors: Jamshid Aghaei, Central Queensland University, Australia Tarek Alskaif, Wageningen University and Research, Netherlands Jose Manuel Arroyo, University Castilla la Mancha, Spain Alberto Berizzi, Politecnico Di Milano, Italy Bishnu Bhattarai, Pacific Northwest National Laboratory, USA Florin Capitanescu, LIST, Luxembourg Saikat Chakrabarti, Indian Institute of Technology Kanpur, India Bo Chen, Argonne National Laboratory, USA Guo Chen, University of New South Wales, Australia Yue Chen, Chinese University of Hong Kong, Hong Kong Ruilong Deng, Zhejiang University, China Fei Ding, NREL, USA Zhaohao Ding, North China Elec Power University, China Wei Du, PNNL, USA Yuhua Du, Northwestern Polytechnical University, China Yury Dvorkin, New York University, USA Izudin Dzafic, University of Sarajevo, Bosnia Mohamed El Moursi, Khalifa University Science and Technology, USA Mostafa Farrokhabadi, BluWave-ai, Canada Claudio Fuerte-Esquivel, University of Michoacan, Mexico Murat Göl, Middle East Technical University, Turkey Sayyed M. Hashemi, University of Toronto, Canada Ali Hooshyar, University of Toronto, Canada Can Huang, PG&E, USA Herbert Iu, The University of Western Australia, Australia Kumarsinh Jhala, Argonne National Lab, USA Youngjin Kim, Pohang University of Science and Technology, Korea Shunbo Lei, Chinese University of Hong Kong-Shenzhen, Hong Kong Ioannis Lestas, University of Cambridge, UK Jie Li, Rowan University, USA Feng Liu, Tsinghua University, China Hui Liu, Guangxi University, China Nian Liu, North China Electric Power University, China Xiaonqing Lu, Wuhan University, China Patricio Mendoza, University of Chile, Chile Wenchao Meng, Zhejiang University, China Sumit Paudyal, Florida International University, USA Ferdinanda Ponci, RWTH Aachen University, Germany Feng Qiu, Argonne National Laboratory, USA Rodrigo Ramos, University of São Paulo at São Carlos, Brazil Majid Sanaye-Pasand, University of Tehran, Iran John Simpson-Porco, University of Toronto, Canada Zhouyang Ren, Chongqing University, China Pirathayini Srikantha, York University, Canada Dipti Srinivasan, National University of Singapore, Singapore Wencong Su, University of Michigan-Dearborn, USA Qun Sun, University of Central Florida, USA Alfredo Vaccaro, University of Sannio, Italy Gregor Verbic, University of Sydney, Australia Jose Carlos Vieira, University of Sao Paulo, Brazil Maria Vrakopoulou, University of Melbourne, Australia Meng Wang, Rensselaer Polytechnic Institute, USA Yan-Wu Wang, Huazhong University of Science and Technology, China Yi Wang, University of Hong Kong, Hong Kong Wei Wei, Tsinghua University, China Dan Wu, Siemens Gamesa Renewable Energy, Brazil Hongyu Wu, Kansas State University, USA Yingmeng Xiang, Geirina, USA Jingrui Xie, National Grid, USA Qianwen Xu, KTH Royal Institute of Technology, Sweden Yan Xu, Nanyang Technological University, Singapore Rul Yang, NREL, USA Yujian Ye, Southeast University, Bangladesh Liang Yu, Nanjing University of Posts and Telecommunications, China Nanpeng Yu, University of California-Riverside, USA Quan Zhou, Hunan University, China Hao Zhu, University Texas at Austin, USA Lantao Xing, Shangdon University, China

How to become an Associate Editor for a PES Transactions

Reviewers Recognition

Transactions on Smart Grid Recognition Process

Transactions on Smart Grid Recognitions 2022 [PDF 113MB]  

Transactions on Smart Grid Recognitions 2021

2023 Outstanding Papers, Reviewers, and Associate Editors [PDF 108KB]

Recent Improvements

• Scope revision and update in 2020 to reduce overlap with other PES Transaction 
• Significant revamp to the TSG Editorial Board in 2020 to increase diversity (gender, region, affiliation) and better reflect PES membership composition and TSG authorship
• Implemented new editorial policies in 2020 explained  here [PDF 149KB]
• Implemented PES Publications Board changes  here [PDF 149KB]

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Smart Grid - Open Access Research

Articles, commentaries, journals and more on smart grid.

Take a look at our open access journals covering Smart Grids, read what our authors and editors say on the topic, and browse selected research.

Featured open access journals covering Smart Grids

Explore our two power systems journals,  Protection and Control of Modern Power Systems  and the  Journal of Modern Power Systems and Clean Energy ​​​​​​​. Why not submit your own Smart or Power Grid research to these journals?

• Journal of Modern Power Systems and Clean Energy
• Protection and Control of Modern Power Systems

• Green neighbourhoods in low voltage networks: measuring impact of electric vehicles and photovoltaics on load profiles
• Transactive control: a framework for operating power systems characterized by high penetration of distributed energy resources
• Overview of power electronics technology and applications in power generation transmission and distribution​​​​​​

Read more Smart Grid research  published in the  Journal of Modern Power Systems and Clean Energy . 

• Day-ahead optimal charging/discharging scheduling for electric vehicles in microgrids
• Shifting of research trends in islanding detection method - a comprehensive survey
• New development in relay protection for smart grid ​​​​​​​

Read more Smart Grid research  published in  Protection and Control of Modern Power Systems . 

Exclusive series of Smart Grid commentaries

Read selected commentaries on a broad variety of aspects related to Smart Grid, written by our authors and editors.

Wide area monitoring, protection and control in future smart grid

by Vladimir Terzija and Yutian Liu

Wind power prediction in the smart grid                       

by L. YE and Y. N. Zhao

Integrating high levels of variable renewable energy into electric power systems

by Benjamin Kroposki

From demand response to transactive energy

by Chen-Ching Liu

Find more Smart Grid commentaries here

More Smart Grid research articles

Being a multifaceted topic, research related to Smart Grids is published in a broad range of our open access journals. Find a selection of Smart Grid articles below - all articles are free to read and share.

Submit your Smart Grid manuscript

Are you looking for a journal to submit your own Smart Grid research to? Read our tips on how to find the right journal here: 

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• Perspective
• Published: 21 August 2024

The role of electric grid research in addressing climate change

• Le Xie   ORCID: orcid.org/0000-0002-9810-948X 1 , 2 ,
• Subir Majumder   ORCID: orcid.org/0000-0003-0237-8376 1 ,
• Tong Huang   ORCID: orcid.org/0000-0002-2630-4825 3 ,
• Qian Zhang   ORCID: orcid.org/0009-0003-8787-1043 1 ,
• Ping Chang   ORCID: orcid.org/0000-0002-9085-0759 4 ,
• David J. Hill   ORCID: orcid.org/0000-0003-4036-0839 5 &
• Mohammad Shahidehpour 6  

Nature Climate Change ( 2024 ) Cite this article

166 Accesses

14 Altmetric

Metrics details

• Energy grids and networks
• Energy management
• Energy security

Addressing the urgency of climate change necessitates a coordinated and inclusive effort from all relevant stakeholders. Critical to this effort is the modelling, analysis, control and integration of technological innovations within the electric energy system, which plays a major role in scaling up climate change solutions. This Perspective presents a set of research challenges and opportunities in the area of electric power systems that would be crucial in accelerating gigaton-level decarbonization. Furthermore, it highlights institutional challenges associated with developing market mechanisms and regulatory architectures, ensuring that incentives are aligned for stakeholders to effectively implement the technological solutions on a large scale.

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Acknowledgements

The work of L.X., S.M., Q.Z. and P.C. is supported in part by Texas A&M Energy Institute, College of Arts and Sciences at Texas A&M University and Texas A&M Engineering Experiment Station. The work of T.H. is supported by US National Science Foundation Grant 2328205. The work of L.X. is also supported in part by US National Science Foundation Grant ECCS-2038963.

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Le Xie, Subir Majumder & Qian Zhang

Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA

Department of Electrical and Computer Engineering, San Diego State University, San Diego, CA, USA

Department of Oceanography, Texas A&M University, College Station, TX, USA

Department of Electrical and Computer Systems Engineering, Monash University, Clayton, Victoria, Australia

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Robert W. Galvin Center for Electricity Innovation, Illinois Institute of Technology, Chicago, IL, USA

Mohammad Shahidehpour

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L.X., S.M., T.H. and Q.Z. conceived and designed the paper. P.C. and D.J.H. contributed material and analysis tools. L.X., S.M., T.H. and Q.Z. drafted the paper with input from all co-authors. L.X., S.M. T.H., Q.Z., P.C., D.J.H. and M.S. read and approved the final version of the paper.

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Xie, L., Majumder, S., Huang, T. et al. The role of electric grid research in addressing climate change. Nat. Clim. Chang. (2024). https://doi.org/10.1038/s41558-024-02092-1

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Electromagnetic Compatibility & Smart Grid Interoperability Issues: EMII Working Group White Paper (pdf) Release Date: December 5, 2012 This report introduces electromagnetic compatibility (EMC) as an integral process needed for the design of devices that are used in the operation of the Smart Grid, and is an output of the SGIP Electromagnetic Interoperability Issues Working Group (EMII WG). The report examines EMC issues for Smart Grid equipment on both the electric power system delivery and the power customer sides of the Smart Grid meter and summarizes recommendations for EMC standards. NIST Smart Grid Advisory Committee Report (pdf) Release Date: March 05, 2012 A Policy Framework for the 21st Century Grid: Enabling Our Secure Energy Future (pdf) Release Date: June 13, 2011 This report outlines policy recommendations that build upon the Energy Independence and Security Act of 2007 and the Obama Administration's Smart Grid investments to foster long-term investment, job growth, innovation, and help consumers save money. The report was prepared by the Subcommittee on Smart Grid of the National Science and Technology Council, Committee on Technology

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NIST Technical Note 1654:Regarding Electric Energy Savings, Power Factors, and Carbon Footprints: A Primer Release Date: October 2009 A short primer is presented which describes the underlying physical theory of certain devices that reduce the current drawn from power distribution lines by improving the power factor of residential electric circuits. A brief discussion is provided of the associated energy savings, change in power factor, and reduction of "carbon footprint." Performance Evaluation of Phasor Measurement Systems Release Date: July 2008 After two decades of phasor network deployment, phasor measurements are now available at many major substations and power plants. The North American SynchroPhasor Initiative (NASPI), supported by the US Department of Energy and the North American Electric Reliability Corporation (NERC), provides a forum to facilitate cultivating the efforts in phasor technology in North America and globally. Phasor applications have been explored and some are in today's utility practice. The IEEE C37.118 Standard is a milestone in standardizing phasor measurements and defining performance requirements. To comply with the IEEE C37.118 and to better understand the impact of phasor quality on applications, the NASPI Performance and Standards Task Team (PSTT) has prepared two additional comprehensive documents which leverage prior industry work (esp. in WECC) and international experience. The first document below (January 2008) describes PMU testing based on both IEEE C37.118 requirements and required dynamic performance tests. The second document below (June 2007) describes characterization of PMUs and instrumentation channels based on practical information. This paper summarizes the accomplished PSTT work and presents the methods for phasor measurement evaluation to assure consistent PMU system performance. Reference Values for Dynamic Calibration of PMUs Release Date: January 2008 This paper discusses measurements of the dynamic performance of electric power Phasor Measurement Units, PMUs, and their relation to the requirements of the IEEE Synchrophasor Standard C37.118-2005. In particular, it proposes a new method for monitoring the dynamic power signals that change in amplitude and frequency during the testing of PMUs. The new method estimates the reference values for dynamic power signals so they can be compared with the PMU values to determine the PMUs errors. This requires estimating the true time stamped values of dynamic power signals with low uncertainty. The paper also discusses the issue of aliasing of sampled dynamic signals, and the relationship between the requirement in the Standard to reject an out of band or interharmonic signal and dynamic signal performance. Dynamic Phasor Measurement Unit Test System Release Date: June 2007 This paper presents the plans and progress towards the development of a dynamic phasor measurement unit (PMU) performance test system at NIST. We describe an algorithm for taking time-synchronized samples of single-phase voltage and current power signals and calculating their dynamic parameters, in particular the signal magnitude, phase, frequency, and rate of change of frequency that a PMU reports. PMUs must time stamp their values at periodic Coordinated Universal Time (UTC) markers called the update times. Thus, to provide a reference for PMU testing the sampled data can be fit to a model to define the value of a dynamic parameter at a specific time. The analysis model proposed in this paper assumes that the dynamic magnitude and frequency parameters of the signals are constant over the sampling interval analyzed. This analysis interval is usually the same as the update period or an integer multiple of that period. In the proposed analysis model the dynamic magnitude and frequency parameters are considered a polynomial in time about the update times. The order of the polynomial can be adjusted in a way that meets the needs of the signal being analyzed, yet minimizes the computational effort and sensitivity to noise. We show that when the dynamic variations are analyzed in this way, a single matrix can be used to iteratively converge on a good estimate of the dynamic frequency and magnitude parameters. The polynomial model can be used to generate and analyze test signals. Several test patterns are proposed, which include linearly changing magnitudes or frequencies. As expected, during low voltage tests of the system, the analysis does very well when the generation model matches the analysis model. Several other generation models are also proposed, such as sine waves or damped sine waves. The proposed analysis model is shown to be very accurate in these cases as well.

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Research on DC Component Suppression Method of Non-isolated Grid-Connected Inverter

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• Published: 29 August 2024

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• Huige Chen 1 &
• Shuangling Wang   ORCID: orcid.org/0000-0002-4243-3555 2  

The zero drift occurring to the sampling conditioning circuit of the non-isolated grid-connected inverter will make the output develop a DC component, thus resulting in system failure and posing safety risks. According to the IEEE standard 1547-2003, the DC component injected into the grid side should be less than 0.5% of the rated current. In this paper, a moving average filter is proposed to extract the DC component of the three-phase AC output current. The filter has a very strong attenuation ability to the fundamental integer multiple harmonics, and can accurately extract the DC component. Then the proportional integral resonant controller (PIR) is used to control the system. The control system has sufficient bandwidth to avoid the stability problem caused by frequency offset. Through the above methods, the purpose of accurately suppressing the DC component in the non-isolated grid-connected inverter is realized. Also, a 50 kVA prototype is built in this study. The experimental results show that the moving average filter is advantageous over the conventional low-pass filter method in extracting the DC component, and the PIR controller used in the closed-loop control system outperforms the proportional integral and proportional resonant controllers. Under the strategy proposed in this study, the DC component is reduced to less than 0.5% of the rated current, and the THD of the grid-connected current falls below 5%.

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Acknowledgements

This work was supported by Henan Provincial Education Department Foundation under grant NO21B413007, and Henan Province Private University Discipline Funding Project-Mechanical Design, Manufacturing and Automation.

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Chen, H., Wang, S. Research on DC Component Suppression Method of Non-isolated Grid-Connected Inverter. J. Electr. Eng. Technol. (2024). https://doi.org/10.1007/s42835-024-01940-6

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Received : 21 March 2023

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DOI : https://doi.org/10.1007/s42835-024-01940-6

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Ehsan Hajipour

Assistant Professor Department of Electrical Engineering

Research Interest

    - power system protection                 - power system automation and cybersecurity     - smart grid (operation/protection/planning), room 602, department of electrical engineering, sharif university of technology, tehran (11365-11155), iran.

+98 (21) 6616 4394

e_hajipour(AT)sharif.edu

- PhD in Electrical Engineering, Power System, Sharif University of Technology, Tehran, Iran (Fall 2010 - Summer 2017) - MSc in Electrical Engineering, Power System, Sharif University of Technology, Tehran, Iran (Fall 2008 - Summer 2010) - BSc in Electrical Engineering, Power System, Sharif University of Technology, Tehran, Iran (Fall 2004 - Summer 2008)

- advanced power system protection - power system protection - electrical system analysis i - energy conversion i, publications, published journal papers (for conference papers please check the google scholar link).

• F. Khavari, E. Hajipour, J. Liu, "Congestion management in rooftop photovoltaic-based multi-microgrids viaan energy storage charging market", Journal of Energy Storage , vol. 97, Sep. 2024.
• A. Aghazadeh, E. Hajipour, K. Li, and S. Azizi, "Mitigating the Inrush Current of V/V Transformers Using Railway Conditioners", IEEE Access , vol. 12, pp. 50885 - 50897, Apr. 2024.
• M. Hajiaghapour-Moghimi, E. Hajipour, K. Azimi Hosseini, M. Vakilian, and M. Lehtonen, "Cryptocurrency mining as a novel virtual energy storage system in islanded and grid-connected microgrids", International Journal of Electrical Power & Energy Systems , vol. 158, Oct. 2024.
• H. Saber, H. Ranjbar, E. Hajipour, and M. Shahidehpour, "Two-Stage Coordination Scheme for Multiple EV Charging Stations Connected to an Exclusive DC Feeder Considering Grid-Tie Converter Limitation", IEEE Transactions on Transportation Electrification , Early Access, 2023.
• M. Hajiaghapour-Moghimi, E. Hajipour, K. Azimi Hosseini, M. Tavakkoli, S. Fattaheian-Dehkordi, M. Vakilian, and M. Lehtonen, "Hedging Investments of Grid-Connected PV-BESS in Buildings Using Cryptocurrency Mining: A Case Study in Finland",  IEEE Access , vol. 11, pp. 66327 - 66345, June 2023.
• M. Hajiaghapour-Moghimi, K. Azimi Hosseini, E. Hajipour, and M. Vakilian, "An approach to targeting cryptocurrency mining loads for energy efficiency enhancement", IET Generation, Transmission & Distribution , vol. 16, pp. 4775-4790, Dec. 2022.
• S. Nikbakhsh Jahromi, E. Hajipour, and M. Ehsan, "Optimal resilience-oriented microgrid formation considering failure probability of distribution feeders", Electric Power Systems Research , vol. 209, Aug. 2022. 
• K. Azimi-Hosseini, M. Hajiaghapour-Moghimi, E. Hajipour, and M. Vakilian, “Advanced distribution transformer asset management embracing its relocation: A cost saving approach”, IET Generation, Transmission & Distribution , vol. 16, pp. 2370-2385, June 2022.
• M. Hajiaghapour-Moghimi, K. Azimi Hosseini, E. Hajipour, and M. Vakilian, "A TOU-IBT pricing strategy to manage the cryptocurrency micro-miners", IEEE Transactions on Smart Grid , vol. 13, pp. 1838-1848, May 2022.
• E. Karami, E. Hajipour, M. Vakilian, and K. Rouzbehi, “Analysis of frequency-dependent network equivalents in dynamic harmonic domain”, Electric Power Systems Research , vol. 193, pp. 107037, 2021.
• K. Azimi-Hosseini, M. Hajiaghapour-Moghimi, E. Hajipour, and M. Vakilian “Distribution transformer relocation problem: an integer programming solution”, IET Generation, Transmission & Distribution , vol. 15, pp. 108-120, Jan. 2021.
• N. Farzin, M. Vakilian, and E. Hajipour, “Practical implementation of a new percentage-based turn-to-turn fault detection algorithm to transformer digital differential relay”, International Journal of Electrical Power & Energy Systems , vol. 121, Oct. 2020.
• H. Saber, M.R. Karimi, E. Hajipour, N. Farzin, S.M. Hashemi, A. Agheli, H. Ayoubzadeh, and M. Ehsan “Investigating the effect of ambient temperature on fault-induced delayed voltage recovery events”, IET Generation, Transmission & Distribution , vol. 14, pp. 1781-1790, May 2020.
• E. Hajipour, H. Saber, N. Farzin, M.R. Karimi, S.M. Hashemi, A. Agheli, H. Ayoubzadeh, and M. Ehsan “An Improved Aggregated Model of Residential Air Conditioners for FIDVR Studies”, IEEE Transaction on Power Systems , vol. 35, no. 2, pp. 909-919, March 2020.
• N. Farzin, M. Vakilian, and E. Hajipour, “Transformer turn-to-turn fault protection based on fault-related incremental currents,” IEEE Transaction on Power Delivery , vol. 34, no. 2, pp. 700-709, Apr. 2019.
• E. Hajipour, M. Vakilian, and M. Sanaye-Pasand, “Current transformer saturation prevention using a controlled voltage source,” IEEE Transaction on Power Delivery , vol. 32, no. 2, pp. 1039-1048, Apr. 2017. 
• E. Hajipour, M. Mohiti, N. Farzin, and M. Vakilian, “Optimal distribution transformer sizing in a harmonic involved load environment via dynamic programming technique,” Energy , vol. 120, pp. 92-105, Feb. 2017.
• E. Hajipour, M. Salehizadeh, M. Vakilian, and M. Sanaye-Pasand, “Residual flux mitigation of protective current transformers used in an auto-reclosing scheme,” IEEE Transaction on Power Delivery , vol. 31, no. 4, pp. 1636-1644, Aug. 2016.
• E. Hajipour, M. Vakilian, and M. Sanaye-Pasand, “Current transformer saturation compensation for transformer differential relays,” IEEE Transaction on Power Delivery , vol. 30, no. 5, pp. 2293-2302, Oct. 2015.
• E. Hajipour, M. Bozorg, and M. Fotuhi-FiruzAbad, "Stochastic capacity expansion planning of remote microgrids with wind farms and energy storages", IEEE Transaction on Sustainable Energy , vol. 6, no. 2, pp. 491-498, Apr 2015.
• H. Jahangir, E. Hajipour, M. Vakilian, A. Akbari, T. Blackburn, and B.T. Phung "A method to capture and de-noise partial discharge pulses using discrete wavelet transform and ANFIS", International Transactions on Electrical Energy Systems (ETEP) , vol. 25, no. 11, pp. 2696–2712, Nov. 2015.
• M. Moini-Aghtaei, A. Abbaspour, M. Fotuhi-FiruzAbad, and E. Hajipour “A decomposed solution to multiple-energy carriers optimal power flow”, IEEE Transactions on Power Systems , vol. 29, no. 2, pp. 707-716, March 2014.
• E. Hajipour, M. Vakilian, and M. Ghafouri, "A novel fast FEA no-load loss calculation method for stacked core three phase distribution transformers", International Transaction of Electrical and Computer Engineers System , vol. 2, no. 1, pp. 34-38, 2014.
• E. Hajipour, P. Rezaei, and M. Vakilian, “distribution transformer no-load loss determination by FEM modeling assuming an optimized building factor”, Journal of Electromagnetic Analysis and Application (JEMAA) , vol. 3, pp. 430-438, Oct. 2011.
• H. Adeli, M. H. N. Tabrizi, A. Mazloomian, E. Hajipour, and M. Jahed, “Path Planning for Mobile Robots using Iterative Artificial Potential Field Method”, International Journal of Computer Science Issues (IJCSI) , vol. 8, pp. 28-32, Jul. 2011.

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