计及源荷不确定性的综合能源系统协同优化策略

Collaborative Optimization Strategy for Integrated Energy System Considering Uncertainties in Source and Load

为降低源荷两侧不确定性对综合能源系统(integrated energy system,IES)安全性与经济性的影响,以及提升IES面对不确定性的灵活、稳定运行的能力,提出多种储能参与平抑不确定性波动的策略,建立多重不确定性下日前-实时两阶段协同优化的鲁棒模型。模型中加入鲁棒可调因子综合评估系统经济性与鲁棒性,在日前阶段,根据新能源及负荷预测功率确定预调度计划,以实现最小运行成本下的功率平衡;在实时阶段,根据新能源出力及负荷实际模拟功率确定参与二次灵活调整设备的调整功率,以最小成本实现功率再平衡。算例表明,电源侧、储能侧的实时调整能更好发挥IES应对不确定性的协同调节功能;引入鲁棒可调因子刻画不确实性,较好地均衡了系统运行的经济性和安全性。

In order to reduce the influence of uncertainty on both sides of the source and load on the security and economy of the integrated energy system(IES),and to improve the flexibility and stability of IES in the face of uncertainties,various strategies for energy storage participation in smoothing out the uncertainty fluctuations are proposed,and a robust model is established for the day-ahead and real-time two-stage cooperative optimization under multiple uncertainties.A robust adjustable factor is added to the model to comprehensively evaluate the system economy and robustness.In the day-ahead phase,a pre-dispatch plan is determined based on the predicted power of new energy and load to realize the power balance at the minimum operating cost.In the real-time phase,the adjustment power of the secondary flexible adjustment equipment is determined according to the new energy output and the actual simulated power of the load to realize power rebalancing at minimum cost.The case study shows that the real-time adjustment of power supply side and energy storage side can better play the synergistic adjustment function of IES to deal with uncertainty;the introduction of robust adjustable factor to portray the uncertainty better balances the economy and security of system operation.