基于蚁群退火算法的配电网故障定位研究

Research on Fault Location of Distribution Network Based on Ant Colony Annealing Algorithm

蚁群算法在解决配电网故障定位的问题上应用良好,但就解决FTU畸变信息仍有不足,无法满足供电可靠性,为此引入模拟退火算法加以改进。首先构造了可以适应配电网结构的评价函数和开关函数,然后引入轮盘赌法和逆转策略以优化蚁群信息素更新,避免陷入局部最优解,最后确定了蚁群退火算法应用在分布式电源下配电网故障定位的方法,重点解决相间故障和大电流接地系统故障定位。算例仿真验证了所提算法在容错性方面的优势。

Ant colony algorithm is well used to solve the problem of distribution network fault location,but it is still insufficient to solve the problem of FTU distortion information,which can not meet the power supply reliability.Therefore,simulated annealing algorithm is introduced to improve it.Firstly,the evaluation function and switch function which can adapt to the structure of distribution network are constructed,then the roulette method and reversal strategy are introduced to optimize the updating of ant colony pheromone to avoid falling into the local optimal solution.Finally,the method of applying ant colony annealing algorithm to the fault location of distribution network under distributed generation is determined,focusing on the fault location of phase to phase fault and high current grounding system.The simulation results show that the algorithm has the advantage of fault tolerance.