摘要
通过分析分布式电源对配电网规划的影响,提出一种带惯性权重的粒子群算法,对配电网规划中分布式电源的选址和定容进行优化。首先,建立了综合目标模型,包括由分布式电源的投资运行费用、网损费用及购电费用构成的归一化目标函数,由出力限制等构成的约束条件,然后,利用Matlab仿真工具对所提算法进行了实现,仿真结果表明,本算法全局搜索能力较强,收敛速度较快。
By analyzing the distributed generation of the impact of distribution network planning, A new Particle Swarm Optimization with Inertia Weight is proposed to solve the selected location problem and selected capacity of the distributed generation. Firstly, the normalized objective function including investment and operating cost , loss cost and purchase is proposed, then the algorithm is achieved by Matlab. The results obtained show that the global search capabilities can achieve balance and the optimal solution can be found quickly.
出处
《电力科学与工程》
2011年第3期51-54,共4页
Electric Power Science and Engineering
关键词
分布式发电
配电网规划
粒子群算法
惯性权重
distributed generation （DG）
planning for distributed network
particle swarm optimization
inertia weight
