Abstract：This article aiming at improving the economy of hydrothermal combined power system operation and environmental benefits,we can solve the problems from the two aspects of reducing the use of fossil fuels and the cost of coal-fired generating units. We can convert the optimal scheduling of short-term study of water and thermal into a sequence of four optimization sub-problems: maximal cascaded energy output, the minimum of hydroelectric water consumption,the minimum of thermal power pollutant discharge and the minimum of thermal power cost. The optimization scheduling model can not only determine the optimal output of thermal power and the best water storage strategy of hydropower, but also describe the complementary roles of hydropower and thermal power,fully embodies the concept of energy conservation and efficiency.In the view of the shortcoming that particle swarm optimization (PSO) algorithm is easy to fall into local optimum, worst particle and adaptive inertia weight are is introduced in the standard particle swarm optimization algorithm,avoiding the premature convergence and falling into local optimum. For the multi-objective optimization problem which each target are different dimension and weight coefficient is hard to reasonably determine, desirability function and Euclidean distance function are used to the normalize processing, and the improved particle swarm optimization algorithm is adopted to optimize target after processing.The examples simulation verify the correctness of the model and the effectiveness of the algorithm in this article.
2017, Vol. 18 
