考虑需求侧资源的主动配电网双层故障恢复策略

Dual Layer Fault Recovery Strategy for Active Distribution Network Considering Demand Side Resources

针对配电网需求侧资源的时变性及动态抢修资源与故障恢复过程相互影响等问题,提出一种考虑需求侧资源的主动配电网双层故障恢复策略。该策略的上层模型构建了转化能力更强的网络拓扑,以实现保障最大化,恢复重要失电负荷;下层模型构建了最小化失电损失的应急电源车调度方案。双层模型通过改进遗传算法求解,引入精英保留策略与自适应算子,以提升算法寻优能力;通过对修正的IEEE33配电网节点系统的算例分析和方法验证,得到有效实现全部负荷恢复和阶段性降低经济损失的综合故障恢复策略。

In view of the time-varying nature of demand side resources in distribution networks and the mutual influence between dynamic repair resources and fault recovery processes,a dual layer fault recovery strategy for active distribution network considering demand side resources is proposed.The upper layer model of this strategy constructs a network topology with stronger transformation capabilities to maximize protection and restore important power loss loads.The lower layer model constructs an emergency power supply vehicle dispatching scheme that minimizes power loss.The dual layer model is solved by improving the genetic algorithm,introducing the elite retention strategy and adaptive operator to enhance the algorithm’s optimization ability.Through case analysis and method verification of the modified IEEE33 distribution network node system,a comprehensive fault recovery strategy that effectively achieves full load recovery and phased reduction of economic losses is obtained.