考虑子系统恢复时间的停电电网分区策略

停电电网分区能够并行恢复停电系统,加快电力系统的恢复。但现有分区研究中未考虑分区结果对子系统恢复的影响。由于建立考虑子系统恢复时间的分区优化模型较为困难,文中在谱聚类分区结果的基础上,提出了基于粗糙集的分区调整策略。以恢复时间为综合评价每个分区指标及优化模型的目标函数,运用基于粗糙集的带有不确定度的决策表对恢复时间较长的分区中的机组进行筛选,调整筛选出的机组集合得到优化后的分区方案,最后以IEEE 39标准测试系统和IEEE 118标准测试系统为例验证文中算法的有效性。算例证明了基于粗糙集的分区调整策略具有较高的求解效率,能够有效优化初步分区结果,缩短分区恢复时间。

Sectionalizing strategy for the blackout power system considering the restoration time of subsystem

Sectionalizing strategy for the blackout power system could restore the isolated sections of the system in parallel and accelerate the whole restoration process. But the effect of the partition result having on the subsystem restoration is not taken into account in current researches. Due to that it is difficult to establish the partition optimization model considering the subsystem restoration time directly, this paper proposes the optimization strategy based on the rough set theory, adjusting the partition result achieved by using spectral clustering algorithm. The restoration time duration is the objective function of optimization model and also the index to evaluate the island restorations. The decision table with uncertainty based on rough set theory is used to filter and adjusts the units to achieve the optimal partition result. IEEE-39 bus system and IEEE-118 bus system are used to test the effectiveness of the proposed methodology.