摘要
在双馈风电机组和光伏发电站等多种类型的分布式电源以及电动汽车接入配电网系统的情况下,考虑配电网电源出力和负荷的随机性,建立了含不确定性DG与EV的配电网优化模型。该模型以高置信水平的最小经济运行成本和最小有功网络损耗为目标,同时加入节点电压期望值最大偏差为惩罚函数,用全牛顿步不可行内点法进行求解。对IEEE33节点系统进行仿真计算并对比其他规划及锥规划的其他算法,证明了本文所提出的优化模型计算法的有效性。
In the case of distributed power supply (DG) and electric vehicle (EV) connected to distribution network system such as double-fed wind turbine and photovoltaic power station, considering the randomness of power distribution and load of distribution network, the optimization model of distribution network with DG and EV is established. In the model, the minimum economic operating cost and the minimum active network loss are taken as goals, and the maximum deviation of the expected value of the node voltage is added as the penalty function. Full Newton step infeasible interior point algorithm is used to solve the model. The simulation of the IEEE 33-node system is carried out and compared with other algorithms of other programming, which proves the validity of the optimization model proposed in this paper.
基金
国家自然科学基金项目(50767001)
广东省公益研究与能力建设专项资金项目(2014A010106026)
中国南方电网有限责任公司科技项目(031900KK52150047)。
