主动配电网下分布式能源系统双层双阶段调度优化模型

Two-stage dual-level dispatch optimization model of distributed energy system in active distribution network

主动配电网下分布式能源系统的调度优化是实现经济及安全运行的重要保障,也是提高分布式能源有效利用率的重要途径,构建主动配电网双层能量管理下的双阶段调度优化模型及其求解算法。在负荷预测及间歇式能源出力预测的基础上,构建分布式能源系统的日前和实时两阶段调度优化模型。为求解上述模型,在传统帝国竞争算法(ICA)的基础上引入微分进化因子(DE),建立基于微分进化改进的帝国竞争优化算法(DE-ICA)。将所提模型应用于改造后的IEEE 33节点调度优化问题,仿真结果表明,双层双阶段调度优化能够有效地提高分布式能源利用率,降低系统运行费用,且验证了所提算法在求解此类优化问题时的有效性和优越性。

Since the dispatch optimization of distributed energy system in active power network is animportant way to realize the economic ＆ safe operation and to improve the effective utilization of distributedenergy,a two-stage dispatch optimization model in the dual-level energy management of active distributionnetwork is constructed with its solving algorithm. A dispatch optimization model including day-ahead stageand real-time stage is built based on the load forecasts and intermittent energy output forecasts for thedistributed energy system. A DE（Differential Evolution factor） is introduced to the ICA（Imperialist Compe-titive Algorithm） and the improved algorithm（DE-ICA） is adopted to solve the model. The proposed model isapplied to the dispatch optimization of transformed IEEE 33-bus system and the simulative results showthat,the two-stage dual-level dispatch optimization can effectively improve the utilization rate of distributedenergy and reduce the system operating costs;the proposed solving algorithm is effective and superior.