上海交通大学学报

上海交通大学学报 >

2024 , Vol. 58 >Issue 12: 1881 - 1891

DOI: https://doi.org/10.16183/j.cnki.jsjtu.2023.133

新型电力系统与综合能源

多能源微网作为黑启动电源的电力系统黑启动两阶段优化

  • 朱永清 ,
  • 陈昌铭 ,
  • 李庆生 ,
  • 李震 ,
  • 张兆丰 ,
  • 林振智
展开
  • 1.贵州电网有限责任公司 电网规划研究中心,贵阳 557316
    2.浙江大学 电气工程学院,杭州 310027
朱永清(1979—),高级工程师,从事智能变电站、综合能源等技术研究工作.
陈昌铭,博士生;E-mail: changmingchen@zju.edu.cn.

收稿日期: 2023-04-13

  修回日期: 2023-08-11

  录用日期: 2023-08-12

  网络出版日期: 2023-08-25

基金资助

南方电网公司重点科技项目(067600KK52222002);南方电网公司重点科技项目(GZKJXM20222170)

收起

Two-Stage Black-Start Optimization for Power Systems with Multi-Energy Microgrid as a Black-Start Unit

  • ZHU Yongqing ,
  • CHEN Changming ,
  • LI Qingsheng ,
  • LI Zhen ,
  • ZHANG Zhaofeng ,
  • LIN Zhenzhi
Expand
  • 1. Grid Planning Research Center, Guizhou Power Grid Co., Ltd., Guiyang 557316, China
    2. College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China

Received date: 2023-04-13

  Revised date: 2023-08-11

  Accepted date: 2023-08-12

  Online published: 2023-08-25

Fold

摘要

为减少电力系统大停电造成的损失,提出一种多能源微网(MEMG)作为黑启动电源的电力系统黑启动两阶段优化方法.首先,对多能源微网中的负荷侧综合需求响应及电、热、气实体储能装置的运行特性建模,并将其建模为广义储能;其次,提出多能源微网作为黑启动电源的电力系统黑启动两阶段优化模型,其中第一阶段为非黑启动电源恢复路径优化子模型,第二阶段为电力系统和多能源微网的黑启动策略协同优化子模型;然后,提出基于Dijkstra算法的第一阶段子模型求解方法及基于混合整数二次规划的第二阶段子模型求解方法;最后,以中国某地区实际电力系统为例对所提模型进行算例分析,验证所提黑启动优化方法的有效性和优势.

关键词： 多能源微网; 黑启动; 电力系统恢复; 广义储能

本文引用格式

朱永清 , 陈昌铭 , 李庆生 , 李震 , 张兆丰 , 林振智 . 多能源微网作为黑启动电源的电力系统黑启动两阶段优化[J]. 上海交通大学学报, 2024 , 58(12) : 1881 -1891 . DOI: 10.16183/j.cnki.jsjtu.2023.133

Abstract

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.

Key words： multi-energy microgrid (MEMG); black-start; power system restoration; generalized energy storage

参考文献

[1] 杨智超, 孙磊, 丁明. 计及关键恢复路径的机组启动次序优化策略[J]. 电力建设, 2019, 40(10): 28-35.
  YANG Zhichao, SUN Lei, DING Ming. Optimization strategy for start-up sequence of generation units considering critical restoration paths[J]. Electric Power Construction, 2019, 40(10): 28-35.
[2] 金伟超, 韩畅, 杨莉, 等. 计及多阶段抗灾性能的骨干网架多目标优化[J]. 电力系统自动化, 2020, 44(15): 52-61.
  JIN Weichao, HAN Chang, YANG Li, et al. Multi-objective optimization of backbone power grid considering multi-stage disaster resilience[J]. Automation of Electric Power Systems, 2020, 44(15): 52-61.
[3] CHEN C M, LIANG H L, ZHAI X L, et al. Review of restoration technology for renewable-dominated electric power systems[J]. Energy Conversion and Economics, 2022, 3(5): 287-303.
[4] 顾雪平, 白岩松, 李少岩, 等. 电力系统黑启动恢复问题的研究评述[J]. 电工技术学报, 2022, 37(13): 3183-3200.
  GU Xueping, BAI Yansong, LI Shaoyan, et al. Research review of power system black-start restoration[J]. Transactions of China Electrotechnical Society, 2022, 37(13): 3183-3200.
[5] 陈春, 高靖, 曹一家, 等. 多源配网主动孤岛恢复过程电压频率波动的平抑方法[J]. 上海交通大学学报, 2022, 56(5): 543-553.
  CHEN Chun, GAO Jing, CAO Yijia, et al. Voltage and frequency suppression of intentional islanding restoration process for distribution system with multi-generations[J]. Journal of Shanghai Jiao Tong University, 2022, 56(5): 543-553.
[6] ZHAO J Q, ZHANG Q, LIU Z W, et al. A distributed black-start optimization method for global transmission and distribution network[J]. IEEE Transactions on Power Systems, 2021, 36(5): 4471-4481.
[7] KETABI A, KARIMIZADEH A, SHAHIDEHPOUR M. Optimal generation units start-up sequence during restoration of power system considering network reliability using bi-level optimization[J]. International Journal of Electrical Power & Energy Systems, 2019, 104: 772-783.
[8] 顾雪平, 李新军, 杨超, 等. 考虑风电参与的黑启动方案[J]. 电力自动化设备, 2020, 40(1): 31-37.
  GU Xueping, LI Xinjun, YANG Chao, et al. Black start scheme considering wind power participation[J]. Electric Power Automation Equipment, 2020, 40(1): 31-37.
[9] 周宜昌, 刘艳, 顾雪平. 考虑多风电场黑启动价值的机组恢复顺序双层优化决策[J]. 电力系统自动化, 2020, 44(16): 87-97.
  ZHOU Yichang, LIU Yan, GU Xueping. Bi-level optimization decision for unit recovery sequence considering black-start value of multiple wind farms[J]. Automation of Electric Power Systems, 2020, 44(16): 87-97.
[10] ZHAO Y X, LIN Z Z, DING Y, et al. A model predictive control based generator start-up optimization strategy for restoration with microgrids as black-start resources[J]. IEEE Transactions on Power Systems, 2018, 33(6): 7189-7203.
[11] 赵昱宣, 孙磊, 林振智, 等. 微网作为黑启动电源的电力系统网架重构优化策略[J]. 电力系统自动化, 2018, 42(17): 9-17.
  ZHAO Yuxuan, SUN Lei, LIN Zhenzhi, et al. Power network reconfiguration strategy with microgrids as black-start power sources[J]. Automation of Electric Power Systems, 2018, 42(17): 9-17.
[12] 钟浩, 方晨, 李世春, 等. 考虑光伏出力波动性和微电网协同的配电网黑启动策略[J/OL]. 电测与仪表. https://kns.cnki.net/kcms/detail/23.1202.th.20220916.1600.004.html.
  ZHONG Hao, FANG Chen, LI Shichun, et al. Black-start strategy of distribution network considering photovoltaic output volatility and micro-grid synergy[J/OL]. Electrical Measurement & Instrumentation. https://kns.cnki.net/kcms/detail/23.1202.th.20220916.1600.004.html.
[13] CHEN C M, LIU S Y, LIN Z Z, et al. Optimal coordinative operation strategy of the electric-thermal-gas integrated energy system considering CSP plant[J]. IET Energy Systems Integration, 2020, 2(3): 187-195.
[14] CHEN C M, WU X G, MA J E, et al. Optimal low-carbon scheduling of integrated local energy system considering oxygen-enriched combustion plant and generalized energy storages[J]. IET Renewable Power Generation, 2022, 16(4): 671-687.
[15] 郭尊, 李庚银, 周明, 等. 计及综合需求响应的商业园区能量枢纽优化运行[J]. 电网技术, 2018, 42(8): 2439-2448.
  GUO Zun, LI Gengyin, ZHOU Ming, et al. Optimal operation of energy hub in business park considering integrated demand response[J]. Power System Technology, 2018, 42(8): 2439-2448.
[16] JIANG Z Q, AI Q, HAO R. Integrated demand response mechanism for industrial energy system based on multi-energy interaction[J]. IEEE Access, 2019, 7: 66336-66346.
[17] 高滢. 计及综合需求响应的电—气互联能源系统协同规划[D]. 杭州: 浙江大学, 2019.
  GAO Ying. Collaborative planning of electricity-gas integrated electricity-gas energy system with integrated demand response[D]. Hangzhou: Zhejiang University, 2019.
[18] CHEN C M, DENG X, ZHANG Z, et al. Optimal day-ahead scheduling of multiple integrated energy systems considering integrated demand response, cooperative game and virtual energy storage[J]. IET Generation, Transmission & Distribution, 2021, 15(11): 1657-1673.
[19] 吕祥梅, 刘天琪, 刘绚, 等. 考虑高比例新能源消纳的多能源园区日前低碳经济调度[J]. 上海交通大学学报, 2021, 55(12): 1586-1597.
  Lü Xiangmei, LIU Tianqi, LIU Xuan, et al. Low-carbon economic dispatch of multi-energy park considering high proportion of renewable energy[J]. Journal of Shanghai Jiao Tong University, 2021, 55(12): 1586-1597.
[20] 朱海南, 王娟娟, 陈兵兵, 等. 考虑经济性与碳排放的电-气综合能源系统多目标规划[J]. 上海交通大学学报, 2023, 57(4): 422-431.
  ZHU Hainan, WANG Juanjuan, CHEN Bingbing, et al. Multi-objective planning of power-gas integrated energy system considering economy and carbon emission[J]. Journal of Shanghai Jiao Tong University, 2023, 57(4): 422-431.
[21] 韩畅, 林振智, 杨莉, 等. 考虑经济性和网架性能的抗灾型骨干网架多目标规划[J]. 电力系统自动化, 2019, 43(2): 34-41.
  HAN Chang, LIN Zhenzhi, YANG Li, et al. Multi-objective planning for anti-disaster backbone grid considering economics and network frame performance[J]. Automation of Electric Power Systems, 2019, 43(2): 34-41.
[22] 梁才, 刘文颖, 但扬清, 等. 输电线路的潮流介数及其在关键线路识别中的应用[J]. 电力系统自动化, 2014, 38(8): 35-40.
  LIANG Cai, LIU Wenying, DAN Yangqing, et al. Flow betweenness of transmission lines and its application in critical line identification[J]. Automation of Electric Power Systems, 2014, 38(8): 35-40.
[23] 江婷, 邓晖, 陆承宇, 等. 电能量和旋转备用市场下电-热综合能源系统低碳优化运行[J]. 上海交通大学学报, 2021, 55(12): 1650-1662.
  JIANG Ting, DENG Hui, LU Chengyu, et al. Low-carbon optimal operation of an integrated electricity-heat energy system in electric energy and spinning reserve market[J]. Journal of Shanghai Jiao Tong University, 2021, 55(12): 1650-1662.
[24] 陈昌铭, 龚贤夫, 娄源媛, 等. 考虑差异化加固的全阶段抗灾型骨干网架两阶段优化规划[J]. 电网技术, 2023, 47(2): 763-775.
  CHEN Changming, GONG Xianfu, LOU Yuanyuan, et al. Two-stage optimal planning of all-stage anti-disaster backbone network considering differential reinforcement[J]. Power System Technology, 2023, 47(2): 763-775.
[25] CHEN C M, WU X Y, LI Y, et al. Distributionally robust day-ahead scheduling of park-level integrated energy system considering generalized energy storages[J]. Applied Energy, 2021, 302: 117493.
Options
文章导航

/

〈 〉