基于双层优化的电-热综合能源系统调峰运行方法

针对高比例新能源并网引起的电网峰谷波动问题，提出了基于双层优化的电-热综合能源系统（IES）调峰运行方法。首先，分析了风光并网功率和综合需求响应（IDR）对负荷的影响，提出了源荷侧协同调峰的运行方法。其次，构建了双层优化调度的电-热IES模型，上层模型优化电网的负荷曲线，下层模型优化IES的运行经济性。最后，通过Gurobi求解器和深度确定性策略梯度（DDPG）算法联合求解双层优化模型。以某高校实际微能源系统为算例，验证了所提方法和模型的有效性。

Peak-shaving Operation Method of Electric-thermal Integrated Energy System Based On Double-layer Optimization

Aiming at the peak-to-valley fluctuation of the power grid resulted from the high proportion of new energy connected to the grid， an electric-thermal integrated energy system （IES） peak-shaving operation method based on double-layer optimization is proposed. Firstly， the impact of wind-solar grid-connected power and integrated demand response （IDR） on load is analyzed，an operation method for coordinated peak regulation of source-load side is proposed. Secondly，the electric-thermal IES model for double-layer optimal dispatching is constructed. The upper layer model optimizes the load curve of the power grid， and the lower layer model optimizes the operation economy of the IES. Finally， the two-layer optimization model is jointly solved by the Gurobi solver and the deep deterministic policy gradient （DDPG） algorithm. The effectiveness of the proposed method and model is verified by using an actual micro-energy system as an example.