Optimal OCR coordination in a high penetration distribution power system using a refined immune algorithm with an auto-tuning reproductive mechanism
Integrating an increasing number of distributed energy resources into medium-voltage and low-voltage radial distribution networks is causing significant shifts in power flow and fault current distribution. These changes introduce new challenges for power system protection coordination. We present an...
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| Language: | English |
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AIMS Press
2024-12-01
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| Series: | AIMS Energy |
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| Online Access: | https://www.aimspress.com/article/doi/10.3934/energy.2024056 |
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| author | Tung-Sheng Zhan Yih-Der Lee Jheng-Lun Jiang |
| author_facet | Tung-Sheng Zhan Yih-Der Lee Jheng-Lun Jiang |
| author_sort | Tung-Sheng Zhan |
| collection | DOAJ |
| description | Integrating an increasing number of distributed energy resources into medium-voltage and low-voltage radial distribution networks is causing significant shifts in power flow and fault current distribution. These changes introduce new challenges for power system protection coordination. We present an adaptive protection coordination strategy designed to address these challenges. The proposed approach involved tracking the connectivity of the system structure to establish a relay numbering sequence, which served as a tracking route. These routes were further categorized into main feeder and branch paths based on the system topology. The strategy to optimize the operation time of overcurrent relays involved adjusting the time multiplier setting (TMS) and pickup current setting (PCS) for each relay, focusing on improving relay coordination. The coordination problem was formulated to minimize the total operation time of both primary and backup relays while adhering to coordination time interval (CTI) constraints. A refined immune algorithm, augmented with an auto-tuning reproductive mechanism, was proposed to determine the optimal time multiplier settings and pickup current settings parameters along the tracking route. We used a 16-bus actual distribution network and the IEEE 37 Bus system with distributed generators to evaluate the effectiveness of the proposed adaptive protection coordination. The results demonstrated that the proposed algorithm significantly reduced overall operation time and mitigated the impact on protection coordination settings following the integrations. Furthermore, a comparative analysis with other metaheuristic algorithms highlighted the superior efficiency and performance of the proposed approach. |
| format | Article |
| id | doaj-art-500e14c7c7974e60bdcfa3db374f1996 |
| institution | Kabale University |
| issn | 2333-8334 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | AIMS Press |
| record_format | Article |
| series | AIMS Energy |
| spelling | doaj-art-500e14c7c7974e60bdcfa3db374f19962025-01-24T01:35:07ZengAIMS PressAIMS Energy2333-83342024-12-011261225126310.3934/energy.2024056Optimal OCR coordination in a high penetration distribution power system using a refined immune algorithm with an auto-tuning reproductive mechanismTung-Sheng Zhan0Yih-Der Lee1Jheng-Lun Jiang2Department of Electrical Engineering, National Kaohsiung University of Science and Technology, No.415, Jiangong Rd., Sanmin Dist., Kaohsiung City 80778, TaiwanDepartment of Electrical Engineering and Information Technology, National Atomic Research Institute, No.1000, Wenhua Rd. Jiaan Village, Longtan District, Taoyuan City 32546, TaiwanDepartment of Electrical Engineering and Information Technology, National Atomic Research Institute, No.1000, Wenhua Rd. Jiaan Village, Longtan District, Taoyuan City 32546, TaiwanIntegrating an increasing number of distributed energy resources into medium-voltage and low-voltage radial distribution networks is causing significant shifts in power flow and fault current distribution. These changes introduce new challenges for power system protection coordination. We present an adaptive protection coordination strategy designed to address these challenges. The proposed approach involved tracking the connectivity of the system structure to establish a relay numbering sequence, which served as a tracking route. These routes were further categorized into main feeder and branch paths based on the system topology. The strategy to optimize the operation time of overcurrent relays involved adjusting the time multiplier setting (TMS) and pickup current setting (PCS) for each relay, focusing on improving relay coordination. The coordination problem was formulated to minimize the total operation time of both primary and backup relays while adhering to coordination time interval (CTI) constraints. A refined immune algorithm, augmented with an auto-tuning reproductive mechanism, was proposed to determine the optimal time multiplier settings and pickup current settings parameters along the tracking route. We used a 16-bus actual distribution network and the IEEE 37 Bus system with distributed generators to evaluate the effectiveness of the proposed adaptive protection coordination. The results demonstrated that the proposed algorithm significantly reduced overall operation time and mitigated the impact on protection coordination settings following the integrations. Furthermore, a comparative analysis with other metaheuristic algorithms highlighted the superior efficiency and performance of the proposed approach.https://www.aimspress.com/article/doi/10.3934/energy.2024056protection coordinationtime multiplier settingpickup current settingcoordination time intervalimmune algorithm |
| spellingShingle | Tung-Sheng Zhan Yih-Der Lee Jheng-Lun Jiang Optimal OCR coordination in a high penetration distribution power system using a refined immune algorithm with an auto-tuning reproductive mechanism AIMS Energy protection coordination time multiplier setting pickup current setting coordination time interval immune algorithm |
| title | Optimal OCR coordination in a high penetration distribution power system using a refined immune algorithm with an auto-tuning reproductive mechanism |
| title_full | Optimal OCR coordination in a high penetration distribution power system using a refined immune algorithm with an auto-tuning reproductive mechanism |
| title_fullStr | Optimal OCR coordination in a high penetration distribution power system using a refined immune algorithm with an auto-tuning reproductive mechanism |
| title_full_unstemmed | Optimal OCR coordination in a high penetration distribution power system using a refined immune algorithm with an auto-tuning reproductive mechanism |
| title_short | Optimal OCR coordination in a high penetration distribution power system using a refined immune algorithm with an auto-tuning reproductive mechanism |
| title_sort | optimal ocr coordination in a high penetration distribution power system using a refined immune algorithm with an auto tuning reproductive mechanism |
| topic | protection coordination time multiplier setting pickup current setting coordination time interval immune algorithm |
| url | https://www.aimspress.com/article/doi/10.3934/energy.2024056 |
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