摘要
为解决负荷预测、风力发电和光伏发电预测出力值与其实时数据间的误差所导致的微电网不能安全稳定运行的问题,提出了一种双层优化算法。本算法包含基于集中优化方式进行的预测调度和基于分布式优化算法的实时优化。两层均采用粒子群智能优化算法对模型进行求解。该算法基于图论思想,按照拓扑图遍历顺序进行遍历式的分布式优化,将计算任务分配至微电网中每个参与调度的节点。
In order to solve the problem like the micro grid security due to the uncertainty of the load forecast and the output of wind power and photovohaic power, a two-layer optimization algorithm is proposed. The two layers include the predictive scheduling based on centralized optimization and the real-time scheduling based on distributed optimization. In the two layers, the modeI is solved by particle swarm intelligence optimization algorithm. The algorithm is based on the idea of graph theory, which is based on the distributed optimization of the traversal sequence of the topological graph, and the task is assigned to every nodes in the micro grid.
出处
《微型机与应用》
2016年第7期79-82,共4页
Microcomputer & Its Applications
关键词
微电网
粒子群算法
双层优化
分布式优化
micro-grid
particle swarm algorithm
two-layer optimization
distributed optimization
