区域综合能源系统优化调度方法

区域综合能源系统(integrated community energy system, ICES)可以充分利用可再生能源、提高综合系统能源利用效率。该文专注于ICES优化调度问题。首先建立了以电为核心的综合能源系统优化调度模型，优化目标包括经济性和环保性最优准则，基于可再生能源技术、节能技术以及电能替代技术的典型设备模型，分别在采暖期和空调期建立了系统运行约束模型，以及电和冷/热负荷供需平衡约束模型；采用具有良好全局搜索能力的粒子群算法（particle swarm optimization, PSO）作为调度模型求解算法。通过具体算例，验证本模型和算法，可得到经济性和环保性目标下的综合能源系统优化调度方案，同时分析了不同目标下调度方案存在统一和矛盾的原因。

Optimal Dispatching Method of Integrated Community Energy System

Integrated community energy system (ICES) can make full use of renewable energy and improve the energy efficiency of ICES. This paper focuses on the optimal dispatching problem of ICES. Firstly, we construct the optimal dispatching model of ICES with electricity as the core, whose optimization objectives include the economic optimum criterion and the environmental optimum criterion. Based on the typical equipment models of renewable energy technique, energy-saving technique and power substitution technique, the operation constraint model and demand balancing constraint model on electrical and cool/heat are established for the periods of heating and cooling respectively. Particle swarm optimization (PSO) algorithm with good global search capacity is applied to solve the optimal dispatching problem. The model and the algorithm are verified through a case study to produce optimal dispatching plans of ICES under the economic and environmental criterion respectively. Meanwhile, the reasons of the similarity and contradiction in the dispatching plans under different objectives are compared and analyzed.