摘要
分布式电源接入配电网时,其接入位置和容量会对电网的运行和规划产生很大影响。在分布式电源个数、位置和单个容量等影响因数下,以配电网网损、电压偏移及静态电压稳定裕度为目标,借鉴遗传算法中采用并行机制避免收敛于局部最优解的思想,建立了多种群免疫算法。并对配电网33节点接入2个DG进行选址和定容优化,结果说明了DG并网使各目标都得到优化。与普通免疫算法相比较,多种群免疫算法具有更好的寻优能力。采用该方法对DG选址定容进行研究,对配电网的经济、安全运行具有重要意义。
When distribution generation （DG） is connected to distribution network, its location and capacity will have a significant impact on the planning and operation of the power grid. Based on the factors of DG number, location and individual capacity, the multi-population immune algorithm is established, which sets the distribution network loss, voltage deviation and stability margin of the static voltage as the goals and uses parallel mechanism in genetic algorithm to avoid convergence to local minima. Sitting and sizing of the distribution in which 33 nodes of the distributed network are connected to two DGs is optimized, and the results show that all the objectives are optimized when DG grid is connected to the network. Compared with normal immune algorithm, the multi-population immune algorithm has better searching ability. Studying the locating and sizing of the DG using this method has great significance for the economic and safe operation of the distribution network.
出处
《电测与仪表》
北大核心
2014年第4期29-34,共6页
Electrical Measurement & Instrumentation
关键词
分布式电源
多种群免疫算法
选址定容
配电网
distributed generation
multi-population immune algorithm
sitting and sizing
distribution network
