标题： 不确定环境下的综合需求响应启用的社区综合能源系统的最优调度 显示英文标题

标题： Optimal Scheduling of Integrated Demand Response-Enabled Community Integrated Energy Systems in Uncertain Environments

摘要： 社区综合能源系统（CIES）是一个重要的能源互联网载体，近年来受到广泛关注。 在不确定环境中，提出了一种基于概率约束规划的调度模型，用于集成需求响应（IDR）启用的CIES，以最小化系统运行成本，其中使用了一个IDR计划来探索电力-燃气-热力柔性负荷和电动汽车的潜在互动能力。 此外，功率到气体（P2G）和微型燃气轮机（MT）作为多能载体的链接，被采用以加强不同能源子系统的耦合。 序列操作理论（SOT）和线性化方法被用来将原始模型转化为可求解的混合整数线性规划模型。 在华北一个实际CIES上的仿真结果表明，通过IDR和可再生能源不确定性的协调，CIES运行经济性得到了提升，同时P2G和MT提高了系统运行的灵活性和用户综合满意度。 通过为旋转备用约束设置合适的置信水平，CIES运行能够在经济性和系统可靠性之间实现权衡。 此外，所提出的求解方法在优化结果和计算效率方面均优于混合智能算法。 显示英文摘要

摘要： The community integrated energy system (CIES) is an essential energy internet carrier that has recently been the focus of much attention. A scheduling model based on chance-constrained programming is proposed for integrated demand response (IDR)-enabled CIES in uncertain environments to minimize the system operating costs, where an IDR program is used to explore the potential interaction ability of electricity-gas-heat flexible loads and electric vehicles. Moreover, power to gas (P2G) and micro-gas turbine (MT), as links of multi-energy carriers, are adopted to strengthen the coupling of different energy subsystems. Sequence operation theory (SOT) and linearization methods are employed to transform the original model into a solvable mixed-integer linear programming model. Simulation results on a practical CIES in North China demonstrate an improvement in the CIES operational economy via the coordination of IDR and renewable uncertainties, with P2G and MT enhancing the system operational flexibility and user comprehensive satisfaction. The CIES operation is able to achieve a trade-off between economy and system reliability by setting a suitable confidence level for the spinning reserve constraints. Besides, the proposed solution method outperforms the Hybrid Intelligent Algorithm in terms of both optimization results and calculation efficiency.