电-热-氢综合能源系统鲁棒区间优化调度

该文采用鲁棒区间法挖掘电-热综合能源系统协调运行的潜力,以缓解风电功率的不确定性对电力系统的运行稳定性的影响,并构建风力发电与氢储能系统相结合的风-氢混合系统,考虑氢储能系统的热平衡需求,以充分发挥氢储能系统的储能效率,平抑风电的波动性。首先,介绍了考虑氢储能系统接入的电-热综合能源系统结构,并构建其数学模型；然后,以区间形式考虑风电的不确定性,构建含风电的鲁棒区间优化调度模型,使系统在所有风电出力允许区间内,均满足允许约束条件；再次,建立一种含风-氢混合系统的电-热综合能源系统鲁棒区间优化调度模型,采用对偶理论将原模型转化为单层模型进行求解,最坏情况下的风电不平衡功率由可调机组根据时变参与因子进行调整；最后,以PJM-5节点电力系统与6节点热力系统和辽宁省北部太和综合能源系统为例对所提模型进行分析,验证了模型的有效性。

Robust Interval Optimal Dispatch of Electricity-Heating-Hydrogen Integrated Energy System

In this paper, the adjustable robust interval method is used to tap the potential of the coordinated operation of the electric thermal integrated energy system, so as to mitigate the impact of the uncertainty of wind power on the operation stability of the power system, and build a wind hydrogen hybrid system combining wind power generation and hydrogen energy storage system, considering the heat balance demand of the hydrogen energy storage system, so as to give full play to the energy storage efficiency of the hydrogen energy storage system and stabilize the volatility of wind power. Firstly, the structure of electric thermal integrated energy system considering the access of hydrogen energy storage system is introduced, and its mathematical model is constructed; Then, considering the uncertainty of wind power in the form of interval, a robust interval optimal dispatching model with wind power is constructed to make the system meet the allowable constraints in all the allowable intervals of wind power output; Thirdly, an adjustable robust interval optimal scheduling model for the electric thermal integrated energy system with wind hydrogen hybrid system is established, and the original model is transformed into a single-layer model by using the dual theory. In the worst case, the unbalanced power of wind power is adjusted by the adjustable unit according to the time-varying participation factor; Finally, taking pjm-5 bus power system and 6 bus thermal system and Taihe integrated energy system in northern Liaoning province as examples, the proposed models are analyzed to verify the effectiveness of the models.