计及特级负荷恢复的网架重构分时段全局优化方法

发布时间：2018-05-31 12:03

本文选题：网架重构 + 特级负荷恢复　；参考：《电工技术学报》2017年07期

【摘要】：制定科学合理的网架重构恢复方案对加快系统恢复进程、减小停电损失具有重要作用。针对当前分时段恢复方案优化策略无法实现时段间协调优化的不足,提出一种网架重构分时段恢复方案全局优化方法。首先,鉴于特级负荷对维持社会稳定和恢复过程的重要性,将其纳入网架重构过程的恢复目标;之后,综合考虑多种约束,建立了协调机组、特级负荷和网架结构三方面恢复效果的网架重构分时段全局优化模型。该模型是一个含整数决策变量的复杂的多目标优化决策模型。通过分析总结已有恢复操作序列优化制定方法的内在逻辑,提出了一种分时段全局优化两步求解策略,即首先优化求解时段数参考值,再进行恢复方案全局优化。结合非支配近邻免疫算法和变异系数法对建立的模型进行求解。新英格兰10机39节点系统算例和我国西南某地区实际电网算例验证了本文所提模型和算法的有效性。
[Abstract]:It is important to establish a scientific and reasonable restoration scheme for grid structure reconstruction to speed up the recovery process of the system and to reduce the loss of power outage. In view of the deficiency that the optimization strategy of the current time-divided restoration scheme can not realize the coordination optimization between the time periods, a global optimization method of the time-divided restoration scheme for the reconfiguration of the grid is proposed. First of all, considering the importance of special class load to the maintenance of social stability and the recovery process, it is incorporated into the restoration goal of the reconstruction process of the grid truss. Then, considering various constraints, a coordinated unit is established. The global optimization model of the restoration effect of special load and grid structure is presented in this paper. The model is a complex multi-objective decision model with integer decision variables. By analyzing and summarizing the internal logic of the existing optimization methods for the sequence of recovery operations, a two-step solution strategy of global optimization is proposed, that is, the reference value of the number of time periods is optimized first, and then the global optimization of the recovery scheme is carried out. The model is solved by using the undominated nearest neighbor immune algorithm and the mutation coefficient method. The effectiveness of the proposed model and algorithm is verified by a new England 10-machine 39-bus system and an actual power grid example in southwest China.
【作者单位】：华北电力大学电气与电子工程学院;云南电力调度控制中心;
【基金】：国家自然科学基金(51277076) 中央高校基金科研业务费专项资金(2014XS75)资助项目
【分类号】：TM732;TM711

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