摘要
新技术和设备的发展并不能绝对避免大停电事故的发生,而合理可行的机组恢复顺序能够加快大停电后的恢复进程,进一步缩减大停电的时间及范围。定义了一种新的线路权重,并在此基础上结合自励磁裕度提出了机组恢复路径操作成功率的概念。构建的优化模型以机组恢复路径操作成功率尽量高与恢复过程中机组发电量尽可能大为目标,采用了Dijkstra算法和引入交叉因子的改进粒子群优化技术求解,提高寻优质量和效率。最终运用IEEE30节点系统和山东电网实际算例验证该方法可快速获得较高可行性的恢复方案,从而保障大停电事故发生后的电网快速恢复。
The development of new technologies and equipment cannot absolutely prevent the occurrence of blackouts.Reasonable and practicable sequence of generator unit restoration can ensure rapidness of the restoration process.In this paper,a new definition of transmission line weight and a conception of operation success rate of generator unit restoration paths are presented based on the presented weight definition and the self-excitation margin.An optimization model is proposed to maximize the restoration path operation success rate and the total power generation capability over a restoration period.The model is solved by Dijkstra algorithm and the modified particle swarm optimization algorithm with crossover factors.Results from simulation based on IEEE 30-bus system and Shandong power grid of China demonstrate the fast optimization and the high feasibility of restoration plan.
作者
朱海南
刘静利
张同军
周玉
张帆
ZHU Hainan;LIU Jingli;ZHANG Tongjun;ZHOU Yu;ZHANG Fan(State Grid Weifang Power Supply Company,Weifang 261000,China)
出处
《山东电力技术》
2019年第12期24-30,共7页
Shandong Electric Power
关键词
电力系统恢复
机组恢复
操作成功率
粒子群优化算法
自励磁
power system restoration
generating unit restoration
operation success rate
particle swarm optimization
self-excitation