摘要
考虑分布式电源对配电网网架结构的影响,在分布式电源容量和位置均未定的情况下,采用内外层双层规划的方法对配电网线路结构、分布式电源位置和容量进行综合优化。将政府补贴政策引入目标函数,鼓励清洁能源的使用,建立节省综合经济成本最多的目标函数模型。内层在引进分布式电源位置和容量的情况下,在遗传算法中引进组织膜计算中的交流规则来增强全局寻优能力和计算能力,从而实现对网架结构的扩展规划;外层采用新型混合粒子群算法对分布式电源的位置和容量进行确定。算例表明,该算法应用于含分布式电源的配电网扩展规划中,节约了经济成本,提高了用电可靠性,验证了算法的有效性。
Considering the effect of distributed power on grid structure of the distribution network and without decided capacity and location of the distributed power, the approach of inner and outer layers bi-level programming is adopted for the integrated optimization of the distribution network circuit structure, and the location and capacity of the distributed power. The government subsidy policy is introduced into the objective function, which encourages the use of clean energy, so as to build an objective function module which saves the most economic cost. For the inner layer, with the introduction of the distributed power position and capacity, the tissue membrane computing communication rule is introduced to the genetic algorithm, to enhance the ability of global optimization and computational capabilities, so as to achieve the expansion planning of the network structure; for the outer layer, the new hybrid particle swarm optimization algorithm is adapted to determine the location and capacity of the distributed power. Examples show that the algorithm applied to distribution network expansion planning including distributed power saves the cost, improves the reliability of electricity, and demonstrates the effectiveness of the algorithm.
出处
《电力系统保护与控制》
EI
CSCD
北大核心
2016年第2期80-85,共6页
Power System Protection and Control
基金
四川省教育厅重点项目(13ZA0023)
流体及动力机械教育部重点实验室(西华大学)项目(SBZDPY-11-14
13)
关键词
分布式电源
配电网
扩展规划
遗传组织膜
新型混合粒子群
distributed power
distribution network
expansion planning
genetic tissue membrane
new hybrid particle swarm optimization algorithm
