中文摘要：

为减少气体污染物的排放,微网节能减排发电调度成为一种必然趋势。提出考虑微源同时提供有功和无功出力并计及制热收益的热电联产型微网系统多目标经济调度模型,以一个包含风、光、储、微型燃气轮机、燃料电池以及热电负荷的具体微网为例,在研究模糊优化理论的基础上,采用最大模糊满意度法将多目标经济调度问题转化成非线性单目标优化问题,并运用改进遗传算法优化考虑实时电价的并网运行方式下各微源的有功、无功出力和多目标优化的满意度,对比分析单目标与多目标系统优化值。仿真算例表明,多目标模型比单目标模型更能确切反映微网的实际运行状态,能够以尽量小的运行成本实现较好的环境效益,验证了所提模型和算法的有效性。

英文摘要：

It is necessary to cut gaseous pollutant emission and develop energy-saving and emission-reducing in microgrid power generation scheduling. An optimization model of multi-objective economic dispatch combined heat and power （CHP） microgrid system considering heating income was presented. The microsources could provide both active and reactive power in the model. A typical microgrid consisting of a wind turbine, a photovoltaic, a storage battery, a micro turbine, a fuel cell, heating and electric loads was selected. Based on fuzzy optimization theory, the maximum fuzzy satisfaction degree method was adopted to transform the multi-objective optimization problem into a non-linear single-objective optimum problem. The improved genetic algorithm was used to optimize microsources＇ active and reactive output, satisfaction degree of multi-objective optimization for grid-connected mode considering spot price. And the single-objective and multi-objective optimal values were comparatively analyzed. Simulation results show that multi-objective model was more precise than single-objective model in reflecting the actual operation characteristics of microgrid and the better environmental benefits could be reached at operation cost as low as possible in this model. So the validity of the proposed model and algorithm was proved.