考虑多源协同的主动配电网故障恢复策略

Fault Recovery Strategy Considering Multi⁃source Collaborative Active Distribution Network

随着科技的发展,主动配电网中面临了多项重要问题,首先,随着大量柔性负荷和电动汽车的接入,负荷种类显著多元化,增加了电网管理的复杂性。其次,可再生能源的随机性和波动性对电网的故障恢复提出了重要挑战。为了应对这些问题,研究提出了一种针对各种能源互动的主动配电网故障恢复策略。该策略建立了一个优化模型,以最大数量可控分布式电源行动和最小功率损失为目标,同时满足系统安全约束。为了建立该模型,使用了改进的二进制粒子群算法和遗传算法。通过在IEEE33节点配电网模型上的仿真分析,实验结果表明,该策略能够有效降低电网损失,并最大程度地恢复失电负荷,为面对可再生能源和多元化负荷挑战的电网管理提供了一种潜在的解决方案。

With the development of science and technology,multiple important issues are faced in the active distri⁃bution network.Firstly,with the access of a large number of flexible loads and electric vehicles the type of loads shows obvious diversification and the complexity of the grid management is increased.Secondly,the randomness and fluctuation of renewable energy sources present significant challenges to the grid fault recovery.To deal with these is⁃sues,a fault recovery strategy for the active distribution network concerning diverse energy interactions is proposed.This strategy sets up an optimization with the maximizing controllable distributed generation actions and minimizing power loss as the goal and,at the same time,system security constraints are met.For solving the model,an improved binary particle swarm optimization algorithm and genetic algorithm are used.The experimental result shows through simulation analysis on the IEEE33 node distribution model that the strategy can not only effectively reduce the grid loss and recover the power loss to the greatest extent,but also provide a kind of potential solution for the grid manage⁃ment to the challenge of renewable energy and multiple loads.