Two-Stage Black-Start Optimization for Power Systems with Multi-Energy Microgrid as a Black-Start Unit
To reduce the losses caused by major power outages in power systems, a two-stage optimization method for black start of power systems is proposed using a multi-energy microgrid (MEMG) as a black-start source. First, the load-side integrated demand response and the operation characteristics of the el...
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| Language: | zho |
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Editorial Office of Journal of Shanghai Jiao Tong University
2024-12-01
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| Series: | Shanghai Jiaotong Daxue xuebao |
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| Online Access: | https://xuebao.sjtu.edu.cn/article/2024/1006-2467/1006-2467-58-12-1881.shtml |
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| _version_ | 1841543577355681792 |
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| author | ZHU Yongqing, CHEN Changming, LI Qingsheng, LI Zhen, ZHANG Zhaofeng, LIN Zhenzhi |
| author_facet | ZHU Yongqing, CHEN Changming, LI Qingsheng, LI Zhen, ZHANG Zhaofeng, LIN Zhenzhi |
| author_sort | ZHU Yongqing, CHEN Changming, LI Qingsheng, LI Zhen, ZHANG Zhaofeng, LIN Zhenzhi |
| collection | DOAJ |
| description | To reduce the losses caused by major power outages in power systems, a two-stage optimization method for black start of power systems is proposed using a multi-energy microgrid (MEMG) as a black-start source. First, the load-side integrated demand response and the operation characteristics of the electric, thermal, and gas physical energy storage devices in the MEMG are modeled as generalized energy storage. Next, a two-stage optimization model for black start of power systems using the multi-energy microgrid as a black-start source is proposed, with the first stage being the optimization sub-model for non-black-start source restoration path and the second stage being the black-start strategy optimization sub-model considering the power system and the MEMG. Then, a Dijkstra’s algorithm-based solution method for the first stage sub-model and a mixed integer quadratic programming-based solution method for the second stage sub-model are respectively proposed. Finally, a case study of a real regional power system in China is conducted to verify the effectiveness and advantages of the proposed black start optimization method. |
| format | Article |
| id | doaj-art-ed9072b8ad014caea7388c79dd2645e5 |
| institution | Kabale University |
| issn | 1006-2467 |
| language | zho |
| publishDate | 2024-12-01 |
| publisher | Editorial Office of Journal of Shanghai Jiao Tong University |
| record_format | Article |
| series | Shanghai Jiaotong Daxue xuebao |
| spelling | doaj-art-ed9072b8ad014caea7388c79dd2645e52025-01-13T09:57:55ZzhoEditorial Office of Journal of Shanghai Jiao Tong UniversityShanghai Jiaotong Daxue xuebao1006-24672024-12-0158121881189110.16183/j.cnki.jsjtu.2023.133Two-Stage Black-Start Optimization for Power Systems with Multi-Energy Microgrid as a Black-Start UnitZHU Yongqing, CHEN Changming, LI Qingsheng, LI Zhen, ZHANG Zhaofeng, LIN Zhenzhi01. Grid Planning Research Center, Guizhou Power Grid Co., Ltd., Guiyang 557316, China;2. College of Electrical Engineering, Zhejiang University, Hangzhou 310027, ChinaTo reduce the losses caused by major power outages in power systems, a two-stage optimization method for black start of power systems is proposed using a multi-energy microgrid (MEMG) as a black-start source. First, the load-side integrated demand response and the operation characteristics of the electric, thermal, and gas physical energy storage devices in the MEMG are modeled as generalized energy storage. Next, a two-stage optimization model for black start of power systems using the multi-energy microgrid as a black-start source is proposed, with the first stage being the optimization sub-model for non-black-start source restoration path and the second stage being the black-start strategy optimization sub-model considering the power system and the MEMG. Then, a Dijkstra’s algorithm-based solution method for the first stage sub-model and a mixed integer quadratic programming-based solution method for the second stage sub-model are respectively proposed. Finally, a case study of a real regional power system in China is conducted to verify the effectiveness and advantages of the proposed black start optimization method.https://xuebao.sjtu.edu.cn/article/2024/1006-2467/1006-2467-58-12-1881.shtmlmulti-energy microgrid (memg)black-startpower system restorationgeneralized energy storage |
| spellingShingle | ZHU Yongqing, CHEN Changming, LI Qingsheng, LI Zhen, ZHANG Zhaofeng, LIN Zhenzhi Two-Stage Black-Start Optimization for Power Systems with Multi-Energy Microgrid as a Black-Start Unit Shanghai Jiaotong Daxue xuebao multi-energy microgrid (memg) black-start power system restoration generalized energy storage |
| title | Two-Stage Black-Start Optimization for Power Systems with Multi-Energy Microgrid as a Black-Start Unit |
| title_full | Two-Stage Black-Start Optimization for Power Systems with Multi-Energy Microgrid as a Black-Start Unit |
| title_fullStr | Two-Stage Black-Start Optimization for Power Systems with Multi-Energy Microgrid as a Black-Start Unit |
| title_full_unstemmed | Two-Stage Black-Start Optimization for Power Systems with Multi-Energy Microgrid as a Black-Start Unit |
| title_short | Two-Stage Black-Start Optimization for Power Systems with Multi-Energy Microgrid as a Black-Start Unit |
| title_sort | two stage black start optimization for power systems with multi energy microgrid as a black start unit |
| topic | multi-energy microgrid (memg) black-start power system restoration generalized energy storage |
| url | https://xuebao.sjtu.edu.cn/article/2024/1006-2467/1006-2467-58-12-1881.shtml |
| work_keys_str_mv | AT zhuyongqingchenchangmingliqingshenglizhenzhangzhaofenglinzhenzhi twostageblackstartoptimizationforpowersystemswithmultienergymicrogridasablackstartunit |