分时电价激励下考虑负荷聚集商的日前经济调度

The Day-ahead Economic Dispatch Considering Time-of-use Pricing Incentives for Load Aggregators

目前中小负荷资源无法进入市场参与系统功率平衡调整,负荷聚集商可整合中小型电力用户作为系统调峰资源,而分时电价可以优化负荷曲线,降低负荷聚集商调峰补偿成本。因此提出分时电价激励下负荷聚集商以安排负荷消减合同的方式参与调峰的源荷互动规则,以系统运行成本最低为目标,构建了日前调度优化模型。对比分析了分时电价与负荷聚集商协调前后3种场景下电力系统调度的经济性,仿真结果表明该源荷互动模型相比于分别单独优化更能有效降低发电机组运行成本,减少碳排放,提升系统的风电消纳水平及运行经济效益。

In view of the problem that small and mediumsized load resources cannot enter the market to participate in system power balance regulation,load aggregation vendors can integrate small and medium-sized power consumers as peaking load regulation resources.The time-of-use electricity price can optimize the load curve and reduce the load aggregator’s compensation cost to regulate peaking load.This paper proposes the source-load interaction rule with which load aggregators participate in peaking load regulation by scheduling load curtailment contracts under time-of-use price incentives.With the aim of minimizing system operating cost,a day-ahead scheduling optimization model is built.The scheduling scheme economy under the three scenarios before and after coordination of the time-of-use price and the load aggregator is compared and analyzed.The simulation results show that the source-load interaction model can effectively reduce the unit’s operation cost compared with separate optimization and improve the system’s wind power accommodation level and the economic benefits.