上海交通大学学报 ›› 2024, Vol. 58 ›› Issue (12): 1881-1891.doi: 10.16183/j.cnki.jsjtu.2023.133

• 新型电力系统与综合能源 • 上一篇    下一篇

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1, 陈昌铭2(), 李庆生1, 李震1, 张兆丰1, 林振智2   

  1. 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
  • 收稿日期:2023-04-13 修回日期:2023-08-11 接受日期:2023-08-12 出版日期:2024-12-28 发布日期:2025-01-06
  • 通讯作者: 陈昌铭,博士生;E-mail: changmingchen@zju.edu.cn.
  • 作者简介: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.
  • 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)

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

ZHU Yongqing1, CHEN Changming2(), LI Qingsheng1, LI Zhen1, ZHANG Zhaofeng1, LIN Zhenzhi2   

  1. 1. Grid Planning Research Center, Guizhou Power Grid Co., Ltd., Guiyang 557316, China
    2. College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
  • Received:2023-04-13 Revised:2023-08-11 Accepted:2023-08-12 Online:2024-12-28 Published:2025-01-06

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

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

中图分类号: