主动配电网的两阶段优化调度模型

为了减小可再生能源和负荷的功率预测误差对主动配电网调度策略的影响,解决DG(distributed generation)在配电网中的过压问题,提出了包括日前经济优化和日内滚动修正两阶段优化调度方法,以配电网运行成本最低为目标函数,建立了日前优化调度模型;引入DG的有功功率削减量和无功功率作为松弛变量,以配电网的调度成本和网络损耗最小为目标函数,建立了日内滚动优化模型.将本文模型应用于IEEE34节点配电网进行实例分析,结果表明:用本文模型优化后的调度策略使配电网运行成本减少了3.27%,网络损耗降低了0.22%,越限的母线电压恢复到正常范围内. 

Two-Stage Optimal Schedule Model for Active Distribution Network

In order to alleviate the impact of forecast errors of renewable energy sources and loads on the active distribution scheduler and to solve the over-voltage problem caused by distributed generation (DG), a two-stage optimal schedule model was presented by integrating a day-ahead economic scheduler with an intra-day rolling dispatch. First, the day-ahead optimization model was made with the minimum operation cost as the objective. Then taking the minimum dispatch cost and network loss as the objective, the intra-day scheduler was made by applying the DG active power curtailment and reactive power as the slack variables. Finally, the two-stage optimal schedule model was verified using the IEEE34-node distribution networks. The numerical results show that the proposed approach can reduce the distribution network operation cost and network loss by 3.27% and 0.22%, respectively, and can adjust the bus voltages out of limits to their normal ranges.