Adaptive OCR coordination
in distribution system with distributed energy resources contribution

Tung-Sheng Zhan; Chun-Lien Su; Yih-Der Lee; Jheng-Lun Jiang; Jin-Ting Yu; Tung-Sheng Zhan; Chun-Lien Su; Yih-Der Lee; Jheng-Lun Jiang; Jin-Ting Yu

doi:10.3934/energy.2023058

AIMS Energy

2023, Volume 11, Issue 6: 1278-1305. doi: 10.3934/energy.2023058

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Research article

Adaptive OCR coordination in distribution system with distributed energy resources contribution

1.
Department of Electrical Engineering, National Kaohsiung University of Science and Technology, No.415, Jiangong Rd., Sanmin Dist., Kaohsiung City 80778, Taiwan
2.
Department of Electrical Engineering and Information Technology, National Atomic Research Institute, No.1000, Wenhua Rd. Jiaan Village, Longtan District, Taoyuan City 32546, Taiwan

Received: 05 October 2023 Revised: 21 November 2023 Accepted: 22 November 2023 Published: 30 November 2023

More and more distributed energy resources (DERs) are being added to the medium-voltage (MV) or low-voltage (LV) radial distribution networks (RDNs). These distributed power sources will cause the redistribution of power flow and fault current, bringing new challenges to the coordination of power system protection. An adaptive protection coordination strategy is proposed in this paper. It will trace the connectivity of the system structure to determine the set of relay numbers as a tracking path. According to the topology of the system structure, the tracking path can be divided into two categories: the main feeder path and the branch path. The time multiplier setting (TMS) of each relay can be used to evaluate the operation time of the over-current relay (OCR), and the operation time of the relay can be used to evaluate the fitness of the TMS setting combination. Furthermore, the relay protection coordination problem can be modeled to minimize the accumulated summation of all primary and backup relay operation time (OT) subject to the coordination time interval (CTI) limitation. A modified particle swarm optimization (MPSO) algorithm with adaptive self-cognition and society operation scheme (ASSOS) was proposed and utilized to determine TMS for each relay on the tracking path. A 16-bus test MV system with distributed generators (DGs) will be applied to test the adaptive protection coordination approach proposed in this paper. The results show that the proposed MPSO algorithm reduces the overall OT and relieves the impact on protection coordination settings after DG joins the system. The paper also tests and compares the proposed MPSO with other metaheuristic intelligence-based random search algorithms to prove that MPSO possesses with increased efficiency and performance.
Citation: Tung-Sheng Zhan, Chun-Lien Su, Yih-Der Lee, Jheng-Lun Jiang, Jin-Ting Yu. Adaptive OCR coordinationin distribution system with distributed energy resources contribution[J]. AIMS Energy, 2023, 11(6): 1278-1305. doi: 10.3934/energy.2023058

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Abstract

More and more distributed energy resources (DERs) are being added to the medium-voltage (MV) or low-voltage (LV) radial distribution networks (RDNs). These distributed power sources will cause the redistribution of power flow and fault current, bringing new challenges to the coordination of power system protection. An adaptive protection coordination strategy is proposed in this paper. It will trace the connectivity of the system structure to determine the set of relay numbers as a tracking path. According to the topology of the system structure, the tracking path can be divided into two categories: the main feeder path and the branch path. The time multiplier setting (TMS) of each relay can be used to evaluate the operation time of the over-current relay (OCR), and the operation time of the relay can be used to evaluate the fitness of the TMS setting combination. Furthermore, the relay protection coordination problem can be modeled to minimize the accumulated summation of all primary and backup relay operation time (OT) subject to the coordination time interval (CTI) limitation. A modified particle swarm optimization (MPSO) algorithm with adaptive self-cognition and society operation scheme (ASSOS) was proposed and utilized to determine TMS for each relay on the tracking path. A 16-bus test MV system with distributed generators (DGs) will be applied to test the adaptive protection coordination approach proposed in this paper. The results show that the proposed MPSO algorithm reduces the overall OT and relieves the impact on protection coordination settings after DG joins the system. The paper also tests and compares the proposed MPSO with other metaheuristic intelligence-based random search algorithms to prove that MPSO possesses with increased efficiency and performance.

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