The Multi-Objective Optimization Scheduling Of The System With Multi-Power Sources

It’s true that the electricity consumption is increasing because of the improvement of the people’s living standards, and the issue between the electric power demand and power supply is intensified considering the high-speed development of the industry. It exists varied problems in environmental Pollution and the power shortage because thermal power station is predominant in electricity industry in our country, therefore, it is of great practical significance for us to reduce coal consumption and minimize the nitrogen oxide emission with reasonable ways of power generation.In the development of energy industry, the sources of power generation is complicating, which is composed of hydroelectric power station、thermal power station、wind farms and nuclear power plants. Based on operating characteristics and output characteristics of the electrical energy, this paper builds a multi-objective optimal operation Model to optimize the dispatch of the multi-source power system, which includes hydro plants, thermal stations, wind farm, and nuclear power plants. The model is built to decrease the abandoned water, to reduce the coal consumption and minimize the nitrogen oxide emission.Aiming at solving the multi-objective and the multi-source power system optimal operation model, which contains wind farm, it turns multi-objective problem into a single objective problem by means of weighting aggregation the weight of which is determined by analytic hierarchy process method, and it adopts the improved self-adaptive particle swarm optimization method to solve the model. Take a multi-source power system as a numerical example, which contain a wind farm made up of100wind turbines,4hydropower stations,10thermal power stations and a nuclear plant. Through the calculation and optimization, It shows the unit output, the Nitrogen Oxides emission and the coal consumption. Analysising the data, the validity and possibility of the model has been proved.