基于多目标算法的冷热电联供型综合能源系统运行优化

为了解决现有冷热电联供型综合能源系统大多只单一考虑系统机组投资成本或系统环境污染,影响系统整体优化运行的问题,以系统经济性和环保性为目标,对冷热电联供系统进行研究分析。构建含燃气轮机、燃气锅炉、电制冷机等机组的冷热电联供系统优化模型并建立约束条件;改进粒子群算法,面向多约束目标进行模型求解优化,提高求解的收敛精度、收敛速度和稳定性;最后利用算例进行结果分析。结果表明改进后的粒子群算法能够同时兼顾系统的经济性和环保性,使系统运行更加优化,为之后的能源供给系统的规划提供前期依据。

Optimal Operation of Integrated Energy System Combined Cooling Heating and Power Based on Multi-objective Algorithm

In order to solve the problem that integrated energy system combined cooling, heating and power only considers the system investment cost or environmental pollution, which affect the overall optimization operation of the system, the system was researched and analyzed by aiming at system economy and environmental protection. Firstly, the optimization model of the combined cooling, heating and power system with gas turbine, gas boiler, electric chiller and other units were constructed and the constraints were established; then the particle swarm optimization algorithm was improved, the model was optimized for multi-constraint targets to improve the convergence accuracy, speed and stability of the solution; finally the example was used to analyze the results. The results show that the improved particle swarm optimization algorithm can balance the economic cost and environmental protection of the system, optimize operation of the system, and provide the previous preparation for the planning of the energy supply system.