【摘要】 负荷的全面、快速恢复是大面积停电后系统恢复控制的最终目的。恢复负荷时,保持系统频率的稳定至关重要,因此必须兼顾负荷恢复速度与发电机机组响应之间的关系。本文在网络重构的基础上,提出一种基于遗传模拟退火算法的负荷恢复计划制定方法,该方法利用增广潮流引入系统频率的计算,采用罚函数的形式处理各种系统约束,通过适应值函数的计算得到系统允许条件下的最优恢复路径和最大允许恢复负荷量。用IEEE30和IEEE118节点两个算例验证了本文方法的快速、有效性。更多还原

【Abstract】 The ultimate goal of system restoration after blackout is to restore load fully and rapidly. One of the most important things in load recovery is to control system frequency, and the effective method to keep the frequency stability is to control the balance between load recovery speed and the generator’s responses. A method using genetic simulated annealing algorithms is proposed for determination of load restoration plans on the basis of network reconfiguration, in which system frequency is calculated by extended power flow analysis and the various system constraints are treated by penalty functions. Through the calculation of the genetic group fitness, the optimal recovery path and the maximum load step can be determined. The efficiency and effectiveness of the proposed method are verified by the numerical results on the IEEE 30 and IEEE 118 systems.更多还原