源网荷储协同优化的主动配电网日前调度

Daily Dispatch of Active Distribution Network with Collaborative Optimization of Source-grid-load-storage

在“双碳”目标下新能源发展迅速,但其出力的不确定性会影响电网安全稳定运行,主动配电网具备对各类分布式能源组合控制的能力,是解决目前存在的新能源并网问题的有效手段,同时需求响应作为控制负荷侧资源的有效手段,与主动配电网相结合能够有效降低源荷双侧不确定性对电网的影响。构建“源网荷储”协同优化的主动配电网日前优化调度模型,以主动配电网收益最大为目标,综合考虑电动汽车参与需求响应、电网安全、储能电池配置以及各组成单元的成本及约束条件。仿真结果表明:所构建的主动配电网优化调度模型合理,能够降低有功网损,减小尖峰负荷,降低负荷峰谷差,提高配电网收益。

Under the“dual carbon”goals,the rapid development of new energy sources poses challenges to the secure and stable operation of the power grid due to the uncertainty in their output.Active distribution networks have the capability to control various combinations of distributed energy sources,providing an effective solution to the current challenges of integrating new energy sources into the grid.Simultaneously,demand response,as an effective means of controlling load-side resources,when combined with active distribution networks,can effectively mitigate the impact of uncertainties on both the supply and demand sides of the grid.A proactive distribution network day-ahead optimization scheduling model was constructed based on the“source-grid-load-storage”coordinated optimization.The objective was to maximize the revenue of the active distribution network,taking into account the participation of electric vehicles in demand response,grid security,energy storage battery configuration,as well as the costs and constraints of each component unit.Simulation results demonstrate that the constructed proactive distribution network optimization scheduling model is reasonable,capable of reducing active power grid losses,decreasing peak loads,narrowing load peak-valley differentials,and ultimately enhancing the revenue of the distribution network.