摘要
为提高主动配电网(Active Distribution Network,ADN)重构的经济性和稳定性,以主动配电网有功网络损耗最小和系统电压偏移指数最低作为目标函数,建立了主动配电网优化重构模型,利用目标规划法构建适应度函数,将多目标优化问题转化为单目标进行求解。采用差分进化算法和Tent混沌映射对灰狼优化算法进行改进,以提高算法的优化性能。运用改进差分灰狼优化算法(Improved Differential Grey Wolf Optimization,IDEGWO)对主动配电网优化重构模型进行求解,并与其他算法对比,算例分析结果表明,改进差分灰狼优化算法在迭代次数和收敛精度方面均优于其他算法,按照IDEGWO算法优化方案重构后的有功网络损耗和系统电压偏移指数分别为57.91 kW和0.7856,主动配电网系统重构后的经济性和稳定性均得到了显著提升,验证了模型的正确性及求解方法的优越性。
In order to improve the economy and stability of active distribution network reconfiguration,taking the minimum active power network loss and the minimum system voltage offset index of active distribution network as the objective function,an active distribution network optimal reconfiguration model was established.The fitness function was constructed by using the objective programming method,and the multi-objective optimization problem was transformed into a single objective for solution.Differential evolution algorithm and tent chaotic mapping were used to improve the wolf swarm optimization algorithm to improve the optimization performance of the algorithm.The improved differential wolf swarm algorithm(IDEGWO)was used to solve the optimization and reconfiguration model of active distribution network,and compared with other algorithms.The example analysis results show that IDEGWO algorithm is superior to other algorithms in iteration times and convergence accuracy.According to the optimization scheme of IDEGWO algorithm,the active network loss and system voltage offset index after reconfiguration are 57.91 kW and 0.7856 respectively.The economy and stability of active distribution network system after reconfiguration have been significantly improved,verifying the correctness of the model and the superiority of the solution method.
作者
张翮
陈海旭
刘闯
ZHANG He;CHEN Haixu;LIU Chuang(State Grid Putian Power Supply Company,Putian 351100,China;State Grid Fuzhou Power Supply Company,Fuzhou 350000,China;College of Electrical and New Energy,Three Gorges University,Yichang 443000,China;State Grid Jingmen Power Supply Company,Jingmen 448000,China)
出处
《山东电力技术》
2023年第3期7-13,共7页
Shandong Electric Power
基金
国家自然科学基金项目(51907104)。
关键词
主动配电网
重构
灰狼优化算法
差分算法
active distribution network
reconfiguration
grey wolf optimization algorithm
difference algorithm
