Multi-objective Unit Commitment Fuzzy Modeling and Optimization for Energy-saving and Emission Reduction

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.