电力系统恢复控制在线决策方法

An On-line Decision-Making Method Applicable to Power System Restoration Control

黑启动方案对非"全黑"停电场景的针对性和有效性存在不足。为此,提出一种电力系统恢复控制在线决策方法:兼顾可用发电容量裕度及同期并网点位置等因素,采用深度优先搜索法划分停电区域,并运用粗糙集理论的综合优势度评判方法使停电子区与恢复策略匹配。建立符合系统恢复特征的电源出力模型;在此基础上,考虑重要负荷快速恢复、网内机组发电份额和系统稳定等因素,设计恢复控制的2阶段多目标优化模型。鉴于恢复过程被调度控制时段自然离散化的特点,采用动态规划法求解。实际系统算例分析结果表明,所提方法可行、有效,可为电网调度运行部门应对大停电提供决策参考。

There is insufficiency in the pertinence and effectiveness of black-start scheme used for non-overall blackout scene. Therefore, an online decision-making method for power system restoration control is proposed. Simultaneously considering the factors such as available generating capacity margin and the position of synchronization points, the outage areas are divided by depth first searching（DFS） and the comprehensive dominance calculation in rough set theory is utilized to make outage subareas matching with restoration strategy. Power source output models conforming to system restoration characteristics are built, on this basis, considering such factors as rapidly restoring important load, the generation share of units within the grid and system stability, a two-stage multi-objective optimization model for restoration control is designed. In view of the feature that the restoration process is naturally discretized by time intervals for dispatching and control, the proposed model is solved by dynamic programming. Simulation results of actual power grid show that the proposed method is feasible and effective, and it can provide decision-making reference for system operator to cope with blackout.