冷热电联供型微电网系统多目标日前优化调度

Multi-Objective Day-Ahead Optimal Dispatch of CCHP Micro Grid System

冷热电联供(CCHP)型微电网系统结合了冷热电三联供系统和微电网系统两者的优点,可对微电网中微型燃气轮机发电时产生的余热进行回收利用,并采用吸收式制冷机进行制冷,实现了冷热电三联供。针对某大型住宅小区并网模式运行下的冷热电联供型微电网系统,以系统运行成本和污染物治理成本最低为优化调度目标,将微型燃气轮机、蓄电池、蓄热/冷槽三类可控单元中每时段的出力作为优化变量,在满足设备物理约束和系统运行约束的条件下,建立了该冷热电联供型微电网系统的多目标日前优化调度的数学模型。为提高计算速度和Pareto解的多样性,利用改进的多目标粒子群优化算法对其进行求解,并与"以热定电"和"以电定热"的运行方式调度结果进行了对比分析。分析结果表明:冷热电联供型微电网系统可以实现热电负荷的协调统一调度;多目标优化调度策略不仅能降低微电网优化运行和环境治理的成本,而且可以提供更多的优化调度方案。

The combined cooling heating and power （CCHP） micro grid system combines the advantages of both CCHP system and micro grid system.It can recycle the waste heat generated by the micro gas turbine in the micro grid,adopt the absorption chiller as the refrigeration system,and realize the CCHP supply.Aiming at the gridconnected CCHP micro grid system for a certain large residential area,and with the lowest costs of system operation and pollution treatment as the optimal dispatching target,the output power of controllable devices in the system such as micro gas turbine,battery,thermal/coldstorage tank as the optimization variables,the dayahead economic optimal dispatch mathematical models of the CCHP micro grid system without violating the physical constraints of devices and system operation constraints are established. In order to improve the computational speed and the diversity of Pareto solutions,an improved multiobjective particle swarm optimization algorithm is adopted,and the dispatching results are compared and analyzed with those obtained by the operating modes of following thermal load and following electric load.The results of analysis show that the CCHP micro grid system can realize the coordinated dispatching of thermal load and electric load,and the multiobjective dynamic optimal dispatching strategy can not only reduce the operating costs and environmental processing costs of the micro grid,and also provide more optimal dispatching schemes.