计及需求响应不确定性的园区综合能源系统日前经济优化调度

园区综合能源系统(park integrated energy system,PIES)通过多能互补可显著提升其运行经济性,然而园区可控资源响应的不确定性会给日前调度策略的制定带来挑战,为此提出了一种考虑综合需求响应及其不确定性的园区综合能源系统日前经济优化调度策略。文章首先运用三角模糊数描述光伏、负荷预测功率以及柔性负荷响应量的不确定性,建立计及不确定性的日前调度模型;然后以系统总运行成本最小为目标,对系统供需两侧可控资源进行协同优化,并根据模糊规划理论,将模糊期望约束和模糊机会约束等效转换为确定性约束形式便于求解;最后通过算例验证了所提策略通过综合需求响应可有效降低系统运行成本,并分析了模糊机会约束置信水平对系统运行成本的影响。

Day-ahead Optimal Economic Dispatch of Park Integrated Energy System Considering Uncertainty of Demand Response

The park integrated energy system can significantly improve its operation economy through multi-energy complementary. However, the uncertainty of the controllable resource response will bring challenges to the formulation of the day-ahead dispatching strategy. Thus, a day-ahead optimal economic dispatching strategy considering the integrated demand response and its uncertainty is proposed for the park integrated energy system. Firstly, the uncertainty of photovoltaic and load forecast power and the uncertainty of flexible load response are described by triangular fuzzy number, and a day-ahead dispatching model considering uncertainty is established. Then, in order to minimize the total operation cost of the system, the controllable resources of the supply and demand sides of the system are optimized. According to the fuzzy scheduling theory, fuzzy expectation constraints and fuzzy chance constraints are equivalently converted into their certainty forms for easy solution. Finally, the case analysis shows that the proposed strategy can further reduce the operating cost through integrated demand response; and the impact of fuzzy chance constraint confidence level on the system operating cost is analyzed.