基于阶段自适应多目标粒子群算法的分布式光伏选址定容研究  

Distributed photovoltaic siting and capacity determination based on stage adaptive multi-objective particle swarm algorithm

作　　者：朱腾伟 王翠 涂振宇[1] 曾瑄 蔡木良 赵占豪 王宏伟 ZHU Tengwei;WANG Cui;TU Zhenyu;ZENG Xuan;CAI Muliang;ZHAO Zhanhao;WANG Hongwei(School of Information Engineering,Nanchang Institute of Technology,Nanchang 330099,China;Electric Power Research Institute,State Grid Jiangxi Electric Power Co.Ltd,Nanchang 310058,China)

机构地区：[1]南昌工程学院信息工程学院,江西南昌330099 [2]国网江西省电力有限公司电力科学研究院,江西南昌310058

出　　处：《南昌工程学院学报》2024年第6期60-67,共8页Journal of Nanchang Institute of Technology

基　　金：江西省自然科学基金重点项目(20224ACB204016);江西省重点研发项目(20223BBE51013)。

摘　　要：针对分布式光伏接入配电网带来的影响,以配电网网损最小和电压偏差最小为目标函数,构建分布式光伏选址定容优化模型,并提出一种阶段自适应多目标粒子群算法(Stage Adaptive Multi-objective Particle Swarm Optimization,SAMOPSO)对优化模型进行求解。SAMOPSO算法引入Logistic混沌映射增加了粒子的随机性和多样性,同时改进了粒子群拓扑结构以减少算法陷入局部最优的概率。此外,该算法还提出了阶段自适应惯性权重和学习因子迭代公式,使粒子可以根据当前位置状态更新下一次迭代参数,从而平衡了算法全局搜索和局部开发两个过程。利用Matlab搭建IEEE33节点配电网模型,分别探讨了分布式光伏并网位置和并网容量对配电网损耗的影响,并将SAMOPSO算法与多种智能算法的仿真结果进行了对比,结果表明所提出的算法有效地降低了配电网损耗、提高了电压质量。In response to the impact of distributed photovoltaic(PV)access to the distribution network,the distributed PV siting and capacity optimization model is constructed with the objective function of minimizing the network loss and voltage deviation of the distribution network,and a stage adaptive multi-objective particle swarm optimization(SAMOPSO)algorithm is proposed to solve the optimization model.The SAMOPSO algorithm introduces Logistic Chaos Mapping,increases the randomness and diversity of particles,improves the particle swarm topology,reduces the probability of the algorithm falling into a local optimum,proposes an iterative formulas for stage adaptive inertia weights and learning factors,allows the particles to update the parameters of the next iteration according to their current positional state,and balances the algorithm’s two processes,namely,the global search and the local development.Finally,Matlab is used to establish the IEEE33 node distribution network model,respectively,to explore the impact of the distributed PV grid-connected location and grid-connected capacity on the distribution network loss.The SAMOPSO algorithm proposed in this paper is compared with a variety of intelligent algorithms,and the simulation results show that the proposed algorithm is more effective in reducing the distribution network losses and improving the voltage quality.

关 键 词：分布式光伏 网损 电压偏差 IEEE33 阶段自适应多目标粒子群算法 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]