中文摘要：

为减少温室气体排放，节能减排发电调度是一种必然。建立了多目标机组组合模型，综合考虑了一次能源消耗成本、SO2和CO2减排多个目标。通过定义目标隶属度函数将确定性问题模糊化，采用最大化满意度指标法将多目标优化问题转化为单目标优化问题，然后采用遗传算法求解该优化问题。对一个10机24时段的算例进行了仿真，结果表明，所提出的多目标机组组合，能在兼顾节能与SO2排放的同时，减少温室气体的排放，使机组组合的结果更合理。该内容是控制温室效应、发展低碳电力与可持续发展战略实现的有益探索。

英文摘要：

It is necessary to cut green house emission and develop energy-saving and emission-reducing in power generation scheduling. A multi-objective unit commitment model was presented. Primary energy consumption costs, sulfur dioxide and carbon emission reducing were synthetically considered. Every objective function was fuzzied through defining objective membership function, then this multi-objective optimization problem was reformulated into a single objective nonlinear programming problem by means of the fuzzy satisfaction maximum-minimum technique. Genetic algorithm was used to solve it. The simulation results of a 10 unit system demonstrate that the proposed multi-objective unit commitment model can take energy saving and the emission reduction of sulfur dioxide into account. At the same time, the emission of carbon dioxide is greatly cut. It is important for controlling the green house effect, developing low carbon power production and realizing sustainable development strategy.