考虑微电网群和需求响应的配电网日前-日内优化调度策略

Day-ahead and Intra-day Optimal Scheduling Strategies in Distribution Networks Considering Microgrid Group and Demand Response

微电网中光伏等新能源的渗透率不断提升,其间歇性与不确定性给配电网系统带来了巨大挑战。考虑配电网负荷预测的不确定性,根据不同时间尺度调控策略调用微电网内分布式资源来降低不确定性对配电网稳定性的影响。首先,针对负荷和光伏预测的不确定性和需求侧负荷的不同时间尺度特性,建立了配电网-微电网群-微电网的申报和决策方案,系统采用日前-日内多时间尺度滚动优化调度策略;然后,日前优化以配电网和微电网群的运行成本最小为目标,日内优化基于日前调度结果以微电网内可控资源调度成本最小为目标,对日前调度量进行修正;最后,采用目标级联法对所建立的模型进行求解,通过算例证明所提方法可以降低系统峰谷差和提高系统经济性。

The penetration rate of new energy sources such as photovoltaics in microgrids is constantly increasing, and the intermittency and uncertainty bring huge challenges to the distribution network system.Considering the uncertainty of load forecasting in the distribution network, this article utilizes distributed resources within the microgrid based on different time scale control strategies to reduce the impact of uncertainty on the stability of the distribution network.Firstly, aiming at the uncertainty of load and photovoltaic forecasting as well as the different time scale characteristics of demand side loads, a declaration and decision-making plan for the distribution network, microgrid group, and microgrid is established.And a day-ahead and intra-day multi-time scale rolling optimal scheduling strategy is adopted.Then, the day-ahead optimization aims to minimize the operation cost of the distribution network and micro electric network group, and the intra-dayoptimization modifies the day-ahead dispatching volume based on the day-ahead dispatching results to minimize the cost of controllable resource dispatching in the micro grid.Finally, the target cascade method is used to solve the established model.Through numerical examples, it is demonstrated that the proposed method can reduce the peak valley differences and improve the economy of system.