计及特级负荷恢复的网架重构分时段全局优化方法

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。

Global Optimization by Multi-Time-Stage Coordination for Network Reconfiguration Considering Vital Load Restoration

Determining a feasible network reconfiguration scheme is very important for speeding the system restoration process and reducing the outage loss after a major blackout.In view of inability of the existing methods to realize coordinative optimization between different restoration stages,a global optimization approach based on multi-time-stage coordination for network reconfiguration considering vital load restoration is proposed in this paper.Firstly,the vital load is introduced as one of the restoration objectives of network reconfiguration to maintain the stability of the society and recovery process.Secondly,considering multiple constraints,a novel global optimization model for coordinative restoration of the units,vital loads and network construction is established.The established model is a complex multi-objective optimization problem with integer decision variables.By analyzing the intrinsic logicality of restoration action sequences,a two-step solving strategy is proposed,in which the reference number of the restoration stages is first determined and the objective functions are then optimized globally.The non-dominated neighbor immune algorithm and the variation coefficient method are employed to solve the proposed optimization model.The effectiveness of the proposed method is validated by the numerical results on the New England 10-unit 39-bus power system and a practical power system in Southwest China.