摘要
针对当前低频减载整定方案大都没有计及负荷重要性,及负荷切除对于系统频率恢复的灵敏性的问题,本文建立了同时考虑上述两种负荷特性的低频减载优化新模型。该模型基于对系统负荷的分类、设置与每类负荷对应的低频减载方案。在保证全局统筹切负荷的情况下,以系统切负荷量最小和频率偏移最小作为优化目标,基于机电暂态仿真与粒子群算法相结合的方法,对低频减载方案中各类负荷的各轮次切负荷比例参数进行优化,从而获得最优的低频减载方案。实际算例证明了本文方法的有效性与正确性。
Focusing on the issue of not considering the importance of load and the sensitivity of frequency recovery, this paper builds a novel optimization model for under frequency load shedding （UFLS） considering both of the above factors. Based on the classification of power load, this model sets the UFLS scheme corresponding to each type of load. It ensures the global co-ordination for load shedding, takes the minimum amount of both system load shedding and fre- quency offset as optimization objectives, optimizes the proportion of each round of load shedding for each UFLS scheme based on the combination of electromechanical transient simulation and particle swarm optimization algorithm, and eventually achieves the optimal under frequency load shedding scheme. Simulation results of an actual power system il- lustrate the feasibility and efficiency of the proposed method.
出处
《电力系统及其自动化学报》
CSCD
北大核心
2015年第2期82-88,共7页
Proceedings of the CSU-EPSA
关键词
低频减载
负荷重要性
负荷切除对频
率恢复灵敏性
粒子群算法
under frequency load shedding（UFLS）
importance of load
the sensitivity of frequency recovery on loadshedding
particle swarm optimization algorithm
