电力系统自动化2012，Vol.36Issue(14)：177-185,9.
考虑污染气体排放的热电联供型微电网多目标运行优化
Multi-objective Optimization of Combined Heat and Power Microgrid Considering ]Pollutant Emission
摘要
Abstract
With an eye on the broad vistas of extensive application of the combined heat and power （CHP） system for its environment friendliness and energy-saving, an investigation has been made on the operation optimization of a CHP system composed of PV batteries, storage batteries, heat storage tank, mieroturbine（MT）, heat recovery boiler, and thermo-electric loads. The characteristics of MT＇s electric power generation efficiency, exhaust heat recovery efficiency and pollutant gas emission are comprehensively considered. The kinetic battery model （KiBaM） is used to consider the minimum state of charge （SOC）. Finally a multi-objective chance constrained programming （CCP） model is developed with PV and stochastic thermo- electric load, operation cost, CO emission and minimum NOn emission all taken into consideration, The stochastic simulation and Pareto set are used to solve the CCP problem. A revised multi-objective particle swarm optimization （MOPSO） based on local and global memory is proposed to solve the model. Simulation results show that, with this method, suggestions can be made to optimize microgrid configuration, realize micro-sources dynamic dispatching and effectively reduce the operation cost and pollution gas emission.关键词
微电网/节能减排/经济运行/热电联供/多目标优化/机会约束规划/粒子群优化算法Key words
microgrid/energy saving and emission reduction/economic operation/combined heat and power/multi-objectiveoptimization/chance constrained programming/particle swarm optimization algorithm分类
交通工程引用本文复制引用
顾伟,吴志,王锐..考虑污染气体排放的热电联供型微电网多目标运行优化[J].电力系统自动化,2012,36(14):177-185,9.基金项目
国家高技术研究发展计划（863计划）资助项目 （）
国家自然科学基金资助项目 （）
江苏省自然科学基金资助项目 （）
东南大学优秀青年教师基金资助项目 （）
东南大学重大基础科研基金资助项目~~ （）
