摘要
为了适应高渗透率分布式发电并网及主动管理的配网发展趋势,在考虑分布式发电与网架适应性的情况下,建立了以年社会成本最小为目标的配网双层优化规划静态经济模型。上层模型是以系统年综合费用最小为目标的配网网架规划,下层模型是以年投资运行费用最小为目标的分布式电源选址定容规划。并根据各自的特点,分别采用二进制顺序编码的改进自适应单亲遗传算法和十进制顺序编码的改进粒子群算法求解。以某实际规划区域作为算例,验证所提模型的合理性和有效性。
In order to adapt to the distribution network development trend of high permeability of DG interconnection and active management,considering adaptability between DG and the framework this paper establishes an optimal planning economic bi-layer model of the distribution network with target of minimizing social cost. The upper model is a distribution network frame-work planning with the goal of minimizing com-prehensive cost,while the lower model is a planning of DG siting and sizing based on yearly operation cost minimum as the goal. According to their characteristics,this paper adopts the improved adaptive partheno-genetic algorithm of binary seque-nce coding and the improved particle swarm optimization of decimal sequence coding for solution. Finally,the paper uses the actual planning area as an example to verify the rationality and validity of the proposed model.
出处
《电网与清洁能源》
北大核心
2015年第6期56-63,共8页
Power System and Clean Energy
基金
国家自然科学基金(51277067)~~
关键词
配网网架规划
分布式电源
选址定容
双层优化规划
单亲遗传算法
粒子群算法
distribution network framework planning
DG
siting and sizing planning
Bi-level optimization planning
adaptive partheno-genetic algorithm
particle swarm optimization
