摘要
针对光伏电源出力的间歇性,建立以线路投资和网络运行年费用最小为目标的配电网网络扩展数学模型。针对光伏电源出力和负荷的随机性,建立随机期望值规划模型对光伏电源进行布点和容量规划,并计算电压和线路功率的合格率对规划结果进行检验。运用二进制粒子群算法对网络扩展模型进行求解,粒子群算法和随机潮流结合的策略对光伏电源规划模型进行求解。算例分析表明,"先网络,后电源"的规划思想和规划模型能够在考虑光伏电源出力间歇性和随机性的前提下得到配电网规划的最优结果。
The mathematical model of distribution network extension is built for intermittent output of PVs.And its objective is the least of annual line investment and operating cost.A random expectation model has been built for the planning of locating nodes and capacity for PVs taking into account the randomness of PVs output and loads.At last,the planning result is examined by the acceptable rate of bus voltage and line power.Binary particle swarm optimization is used to solve the distribution network extension model.The solution algorithm for the PVs planning model is PSO combining with probabilistic power flow.The calculation example manifests the planning model and the idea of first network,then power sourse can well reflex probabilistic and intermittent characters of PVs output and get the best planning result.
出处
《电力科学与工程》
2011年第12期1-6,共6页
Electric Power Science and Engineering
关键词
光伏电源
间歇性
随机性
配电网规划
随机潮流
粒子群算法
photovoltaic power source
intermittent character
probabilistic character
distribution network planning
probabilistic power flow
particle swarm optimization
