Article
Energy & Fuels
Juan M. Home-Ortiz, Ozy D. Melgar-Dominguez, Jose Roberto Sanches Mantovani, Joao P. S. Catalao
Summary: This paper presents an innovative strategy to assess the hosting capacity of photovoltaic-based distributed generation in electrical distribution systems under normal and emergency conditions. The proposed strategy improves system recoverability by coordinating topology reconfiguration, islanding operation, and deployment of mobile distributed generation units.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2022)
Article
Engineering, Electrical & Electronic
Iochane Garcia Guimaraes, Daniel Pinheiro Bernardon, Vinicius Jacques Garcia, Magdiel Schmitz, Luciano Lopes Pfitscher
Summary: This paper presents a decision-making model for the dynamic reconfiguration of distribution networks after contingency situations and develops a three-stage algorithm. The proposed heuristic significantly reduces the complexity of the problem and minimizes key criteria, such as energy not supplied and number of interrupted consumers, while considering physical constraints of the power grid.
ELECTRIC POWER SYSTEMS RESEARCH
(2021)
Article
Energy & Fuels
Saber Nourian, Ahad Kazemi
Summary: This paper presents a mixed-integer linear programming model to enhance the resilience of distribution systems under emergency conditions. The results show that optimal placement of switches and distributed generators can significantly reduce the amount of energy not served. Additionally, implementing a demand response program can reduce load shedding for high priority loads.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Energy & Fuels
Ning Xin, Laijun Chen, Linrui Ma, Yang Si
Summary: This paper studies the impact of network reconfiguration and distributed energy resources collaboration on the resilient restoration of active distribution networks (ADNs). A multiperiod model considering both reconfiguration and multiple DERs is established, and a rolling horizon optimization framework is used to solve the model. Simulation results verify the effectiveness of the framework.
Article
Energy & Fuels
Raphael Wu, Giovanni Sansavini
Summary: This paper introduces an optimization method for active distribution network design that can transition into microgrids, improving reliability and resilience while reducing overall costs.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2021)
Article
Engineering, Electrical & Electronic
Reza Roofegari Nejad, Wei Sun
Summary: This paper proposes a fully distributed solution procedure based on ADMM for developing the DDSR framework, which enhances the self-healing capability of distribution networks. The effectiveness and scalability of the framework are demonstrated through testing.
IEEE TRANSACTIONS ON SMART GRID
(2022)
Article
Engineering, Multidisciplinary
Juan M. Home-Ortiz, Ozy D. Melgar-Dominguez, Mohammad S. Javadi, Jose Roberto Sanches Mantovani, Joao P. S. Catalao
Summary: This article presents a restoration approach that improves the resilience of electric distribution systems by combining dynamic network reconfiguration, islanding operation of distributed generation units, and the prepositioning and displacement of emergency generation units. The approach also considers the use of demand response programs to enhance recoverability. The objective is to separate the in-service and out-of-service parts of the system while maintaining grid radiality.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2022)
Article
Energy & Fuels
Lei Chen, Yuqi Jiang, Shencong Zheng, Xinyi Deng, Hongkun Chen, Md. Rabiul Islam
Summary: This paper proposes a method to simultaneously optimize the configuration of battery energy storage systems (ESSs) and the operation of active distribution networks (ADNs) in order to enhance the resilience of ADNs against multiple faults. A generation strategy of typical fault scenarios is designed using random sampling and K-means clustering. The proposed approach is able to optimally configure ESSs and adjust the network structure and distributed generation outputs, resulting in increased resilience of the ADNs.
Article
Computer Science, Information Systems
Yichen Shen, Chenghong Gu, Zhibo Ma, Xinhe Yang, Pengfei Zhao
Summary: This article presents a novel two-stage approach to minimize the impact of hurricanes on distribution networks, utilizing a dynamic hurricane model, resilience enhancement scheme, and computational optimization. The proposed method effectively reduces load curtailment and enhances system resilience against extreme hurricane events.
IEEE SYSTEMS JOURNAL
(2021)
Article
Energy & Fuels
Praveen Agrawal, Neeraj Kanwar, Nikhil Gupta, K. R. Niazi, Anil Swarnkar
Summary: This paper proposes a three-stage Self-healing Algorithm (SHA) to enhance the resiliency of distribution systems, efficiently restoring maximum priority loads during blackout with multiple line faults while maintaining system efficiency and reliability. The algorithm transforms faulty distribution network into an augmented FDN (AFDN) for load flow and mesh checks, maximizing prioritized loads while considering power balance and operational constraints. Experimental results demonstrate the effectiveness of the proposed method in handling various line faults.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2021)
Article
Engineering, Electrical & Electronic
Hongzhou Chen, Jian Wang, Jizhong Zhu, Xiaofu Xiong, Wei Wang, Hongrui Yang
Summary: This paper proposes a two-stage stochastic mixed-integer programming model to minimize the upgrading and operation cost of active distribution networks (ADNs) by considering random scenarios caused by disastrous weather events. The model formulates planning decisions in the first stage and evaluates the operation cost in the second stage. A novel modeling method is introduced to address the uncertainty of distribution line operation, and the progressive hedging algorithm is used to solve the model. The feasibility and effectiveness of the proposed method are verified using the IEEE 33-node test system.
JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY
(2023)
Article
Engineering, Chemical
Naiwei Tu, Zuhao Fan
Summary: A dynamic reconfiguration method based on the improved multi-objective dung beetle optimizer (IMODBO) is proposed to reduce the operating cost of the distribution network with distributed generation (DG) and ensure the quality of the power supply. It also minimizes the number of switch operations during dynamic reconfiguration. The method includes establishing a multi-objective model, applying the K-means++ clustering algorithm, and using the IMODBO algorithm for reconstruction. The results demonstrate the effectiveness of the proposed method in addressing the multi-objective distribution network dynamic reconfiguration problem.
Article
Automation & Control Systems
Jiaxin Wu, Xin Chen, Sobhan Badakhshan, Jie Zhang, Pingfeng Wang
Summary: In this study, a hierarchical spectral clustering-based intentional islanding strategy is proposed for transmission level with renewable generations to address the complexity of the hybrid energy system. Frequency measurements are utilized to represent the transient response and are incorporated into the clustering algorithm along with other electrical information to enhance the modeling capability of the proposed framework. The effectiveness of the islanding strategy is demonstrated using the modified IEEE 9-bus system coupled with wind farms as the test case.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Engineering, Industrial
Zhiwei Chen, Dongpao Hong, Weiwei Cui, Weikang Xue, Yao Wang, Jilong Zhong
Summary: This paper proposes a resilience evaluation and optimal design method for weapon system of systems (WSoS) to balance its resilience and cost under different attack and reconfiguration strategies. The method includes a three-phase resilience model, a cost model, and an optimization model. The NSGA-II algorithm is applied to obtain the Pareto optimal solution. A 5-node air defense WSoS is used as an example to illustrate the method.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Review
Green & Sustainable Science & Technology
Dillip Kumar Mishra, Mojtaba Jabbari Ghadi, Ali Azizivahed, Li Li, Jiangfeng Zhang
Summary: The world has been experiencing a series of natural disasters and man-made attacks, which have directly impacted electricity infrastructures and caused immense economic loss. To cope with high-impact, low-possibility events, a resilient infrastructure must be constructed. Recent research has focused on achieving resilience in the active distribution system, incorporating technologies such as micro and smart grids to enhance resilience before, during, and after extreme events.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Engineering, Electrical & Electronic
Tingting Zhang, Peiran Yuan, Yaxin Du, Wen Zhang, Jian Chen
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2020)
Article
Engineering, Electrical & Electronic
Qi Zhao, Yaxin Du, Tingting Zhang, Wen Zhang
Summary: This study proposes an assessment index system and method for the resilience of distribution networks considering multi-energy coordination. By selecting a set of multi-dimensional resilience assessment indexes and establishing a network hierarchical structure based on the analytic network process, it provides an optimal weighting model to combine subjective and objective factors for more scientific weights. The assessment results are obtained using the fuzzy comprehensive assessment method, showing the effectiveness of the proposed system and method in resilience assessment.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
Tingting Zhang, Wen Zhang, Qi Zhao, Yaxin Du, Jian Chen, Junbo Zhao
Summary: This paper proposes a distributed real-time state estimation method for combined heat and power systems, which significantly improves estimation efficiency, protects system privacy, and enhances scalability for large-scale systems.
JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY
(2021)
Article
Engineering, Electrical & Electronic
Ehsan Rahmkhoda, Jawad Faiz, Moein Abedini
Summary: This paper investigates the failures and errors of loss-of-excitation (LOE) protection and proposes an intelligent method combined with a learning vector quantization (LVQ) neural network. The simulation results demonstrate that the proposed algorithm can detect LOE conditions quickly and prevent stresses applied to the machine and power system.
ELECTRIC POWER SYSTEMS RESEARCH
(2024)
Article
Engineering, Electrical & Electronic
Andre M. Garcia, Leonardo H. Macedo, Ruben Romero
Summary: This article presents a specialized scatter search algorithm to solve the optimal transmission switching problem considering voltage control, and its efficiency is validated through tests.
ELECTRIC POWER SYSTEMS RESEARCH
(2024)
Article
Engineering, Electrical & Electronic
Adel F. Alrasheedi, Khalid A. Alnowibet, Ahmad M. Alshamrani
Summary: This paper studies the bidding strategy problem of microgrid in a day-ahead electricity market. The DA electricity prices, demand, and uncertainties are modeled using different scenarios and robust optimization. A smart predict-and-optimize methodology is proposed, where a cost-oriented prediction model is used to replace accuracy-oriented methods. The trilevel mathematical programming approach is utilized to construct a cost-oriented model and solve the problem.
ELECTRIC POWER SYSTEMS RESEARCH
(2024)
Article
Engineering, Electrical & Electronic
Depin Lv, Qiusheng Yu, Xiaoyong Wang, Yulian Bo, Yongjing Wei, Lei Liu, Pu Zhang, Yan Zhang, Wensheng Zhang
Summary: This study proposes a method based on the MHA-CNN framework to monitor the operation status of the smart grid and power communication network coupling. The method utilizes HHT to extract features from operational data and employs MHA to extract key feature information from fault data, achieving faster fault detection speed and higher detection probability.
ELECTRIC POWER SYSTEMS RESEARCH
(2024)
Article
Engineering, Electrical & Electronic
Tao Zhang, Zhiguo Hao, Hongyue Ma, Songhao Yang, Chongtao Li
Summary: This paper introduces a dominant mode identification (DMI) method to assess the stability of grey-box grid-tied converters. The method analyzes the critical eigenvalues and can be applied to different grid connection scenarios.
ELECTRIC POWER SYSTEMS RESEARCH
(2024)
Article
Engineering, Electrical & Electronic
Aamir Nawaz, Hongtao Wang, Huiting Yang, Hammad Armghan, Jiechao Gao
Summary: This paper presents a risk constrained probabilistic problem framework for addressing the challenges of stochastic dispatching due to contingencies and the integration of renewable sources. By utilizing probabilistic analytical target cascading, polynomial chaos expansion, and benders decomposition algorithm, the proposed method reduces computational burden and improves efficiency.
ELECTRIC POWER SYSTEMS RESEARCH
(2024)
Article
Engineering, Electrical & Electronic
Thongchart Kerdphol, Issarachai Ngamroo, Tossaporn Surinkaew
Summary: This paper introduces an enhanced robust H-infinity technique to improve the regulation performance and cyber resiliency of secondary frequency control in a microgrid. The study shows that cyber-attacks affect different elements of secondary frequency control in the microgrid depending on the type of attack used.
ELECTRIC POWER SYSTEMS RESEARCH
(2024)
Article
Engineering, Electrical & Electronic
Sambeet Mishra, Praveen Prakash Singh, Ivar Kiitam, Muhammad Shafiq, Ivo Palu, Chiara Bordin
Summary: This study aims to analyze partial discharge events in high-voltage cables and extract patterns and trends. The results indicate a positive correlation between the number of PD events and the increase in voltage levels, with negative PD peaks being more frequent at lower stress levels.
ELECTRIC POWER SYSTEMS RESEARCH
(2024)
Article
Engineering, Electrical & Electronic
Cleberton Reiz, Jonatas B. Leite, Clara S. Gouveia, Mohammad Sadegh Javadi
Summary: This research proposes a bilevel method to simultaneously solve the allocation and coordination problems in microgrid protection, considering local devices. The results show that solving these problems simultaneously can save costs and select the optimal solution.
ELECTRIC POWER SYSTEMS RESEARCH
(2024)
Article
Engineering, Electrical & Electronic
Rasha Elazab, M. Ser-Alkhatm, Maged A. Abu Adma, K. M. Abdel-Latif
Summary: This paper proposes a two-layer methodology for the allocation and sizing of SVCs in radial distribution systems. The Power Loss Index (PLI) is used to choose the best candidate buses for allocating SVCs, and a two-stage stochastic programming algorithm is proposed to solve the sizing problem. The advantages of combining SVCs and the PV inverter's reactive power provision ability are also analyzed.
ELECTRIC POWER SYSTEMS RESEARCH
(2024)
Article
Engineering, Electrical & Electronic
Samreen Javaid, Dongyu Li, Abhisek Ukil
Summary: This paper introduces a new algorithm based on high pass filter for traveling wave fault location, which can differentiate the peak value of the traveling wave more easily by removing oscillation in the signal. The algorithm is tested on a DC simulation model and executed in MATLAB environment, achieving high accuracy in fault location results. Compared with traditional methods, this algorithm shows higher accuracy and faster response.
ELECTRIC POWER SYSTEMS RESEARCH
(2024)
Article
Engineering, Electrical & Electronic
Enzhe Wang, Xiangrong Chen, Hanshan Zhu, Kai Yin, Muhammad Awais, Ashish Paramane
Summary: This paper aims to reduce the power loss of tunnel cable systems by using different grounding and loss reduction methods. The case study of the submarine tunnel power cable project in Ningbo-Zhoushan, China is considered. The nodal admittance matrices of the cable are established using the telegraph equation, and the cascading algorithm is used to analyze the induced voltage and circulating current in the cable sheath, taking into account the presence of grounding node. The study finds that coordinating the amplitude and phase angle of series impedance can reduce the power loss of the cable system.
ELECTRIC POWER SYSTEMS RESEARCH
(2024)
Article
Engineering, Electrical & Electronic
Ziwei Ma, Jasronita Jasni, Mohd Zainal Abidin Ab Kadir, Norhafiz Azis
Summary: A numerical model was developed to analyze lightning attachment on UHV-AC double-circuit transmission lines. Simulation results showed that upward leaders simultaneously occurred on the ground wire and the upper-phase conductor when the phase conductors were energized. A new expression for calculating the striking distance on the ground wire was proposed based on the simulation results. Additionally, high voltage, phase angle, and terrain slope were found to increase the surface electric field of the upper-phase conductor.
ELECTRIC POWER SYSTEMS RESEARCH
(2024)
Article
Engineering, Electrical & Electronic
Kunal Kumar, Susmita Kar
Summary: This paper presents an efficient protection scheme utilizing the rate of change parameter to detect both shunt faults and high impedance faults. By comparing with the existing scheme and testing on the IEEE 13 Bus test system, the effectiveness of the proposed scheme is demonstrated.
ELECTRIC POWER SYSTEMS RESEARCH
(2024)
Article
Engineering, Electrical & Electronic
Cheng Che, Bangbang He, Zhixuan Gao, Qiwei Lu, Yang Chen, Zhifeng Wang, Jinghan Guo, Yanwen Wang
Summary: A low-cost hybrid railway power conditioner (HRPC) technology scheme is proposed in this paper to effectively compensate negative sequence current (NSC) of the V/v traction system and reduce the capacity and cost of the railway power conditioner (RPC). The proposed HRPC combines an RPC with a modular multilevel converter structure (MMC-RPC) and a railway static var compensator (RSVC) and considers regenerative braking energy in the compensation process.
ELECTRIC POWER SYSTEMS RESEARCH
(2024)