基于改进DNA遗传算法的微电网DG选址定容研究

Location of Microgrid DG Based on Improved DNA Genetic Algorithm

为降低能源的消耗,我国提出适度限制火电发展的计划,并出台一系列鼓励发展分布式电源的政策,分布式电源在配电网上的位置和容量将会影响配电网的运行,拟通过改进DNA遗传算法研究微电网DG选址定容。实验表明:改进的DNA遗传算法既能避免早熟,又能提高算法收敛速度;微电网DG接入,能降低有功损耗、无功损耗、网损费用,升高节点最低压、节点电压偏移总和;PV和MT二者分别单独进行选址定容的方案,具备应对PV离网的能力,更加合理。

In order to reduce energy consumption,China puts forward a plan to limit the development of thermal power moderately,and has issued a series of policies to encourage the development of distributed power supply.The location and capacity of distributed power supply in distribution network will affect the operation of distribution network.Therefore,this experiment will study the location of microgrid DG by improving DNA genetic algorithm.The experiments show that the improved DNA genetic algorithm can not only avoid precocity,but also improve the convergence speed of the algorithm.The DG access of microgrid can reduce the active power loss,reactive power loss,network loss cost,increase the sum of node minimum voltage and node voltage offset.PV and MT have the ability to deal with PV off-grid.I hope this research can provide some help for the promotion and development of distributed power supply in China.