考虑网络结构优化的含风电配电网多目标重构

摘要

To improve the reliability of power supply distribution network, network survivability index is introduced as a new objective function of the distribution network reconfiguration, from the point of network connectivity. At the same time, considering the randomness and intermittent of the output of the wind power generations (WPG), this paper builds up wind power output random variables and their corresponding probability based on wind speed and wind speed probability density function. On this basis, taking the switch state as optimization variables, the output of WPG as random variables, the minimum network loss higher than confidence level as another objective function, a chance constrained programming based distribution network multi-objective reconfiguration model with WPG is built. It applies the improved ant colony algorithm, combines with the strategy of spanning tree which ensure that the ants path to meet the structure of the distribution network, to solve the built model. And then, the Pareto optimality is used to evaluate the result to get the optimal solution set. The results of IEEE33 system and PG&E69 system verify the validity of the model and algorithm.%为了提高配电网的供电可靠性，从网络自然连通性角度，引入网络抗毁性指标作为配电网重构的一个新目标函数。同时考虑风电出力的随机性与间歇性，根据风速区间及风速概率密度函数构建多个风电出力随机变量，以及对应概率。在此基础上，以开关状态为优化变量、风电出力为随机变量以及在置信水平下的网络损耗最小为另一个目标函数建立了基于机会约束规划的含风电的配电网多目标重构模型。应用改进蚁群算法，结合生成树策略保证蚂蚁路径满足网络辐射状网络拓扑约束，求解所建配网重构模型，并利用Pareto寻优得到最优解集。IEEE33节点和PG&E69节点系统算例仿真结果验证了该模型和算法的有效性。