The Study Of The Economic Operation Of Hydropower Station Based On APSO-SA Algorithm

The economic operation of hydropower station is an important measure to tap the potential of the reservoir fully, to improve the management level,to increase hydroelectric power generation efficiency and to ensure the safe operation of electric power grid. Along with the expansion of the scope of the hydropwer station, the capacity and the number of water-turbine generator sets are larger and larger, corresponding to the problem of economic operation of hydropower station is becoming more and more complex.Economic operation of hydropower station has two main problems, which are how to establish appropriate mathematical models to represent the practical problems of economic operation of hydropower station, and how to improve the performance of the optimization algorithm for solving the problem of economic operation of hydropower station.According to the above two problems, at first, the necessity and basic theory of the economic operation of hydropower station are expounded, as well as the development history and the domestic and international research situation of economic operation algorithm. Next, the author introduces the establishment of the corresponding mathematical model, the drawing of the dynamic characteristic curve of hydroturbine, the method of space load distribution and time load distribution. And then, the author proposes an improved Adaptive Particle Swarm Optimization based on Simulated Annealing(APSO-SA). This algorithm improves in two aspects based on the standard particle swarm algorithm:(1)adding a dynamic adjustment strategy of inertia weight parameter w, which automatically adjusts the value of w according to the evolutionary speed and aggregation degree of the particle swarm, instead of simply reducing the value of w with the iterations, to balance the global and partial search ability more reasonably.(2)adopting crossover and simulated annealing algorithm in parallel to improve the diversity of particles during the algorithm process, especially in the later stage, and to improve the probability of escape the local optimal solution. Finally, combing with the Qushou Hydropower Station example, the author uses the standard PSO algorithm and theAPSO-SA algorithm to carry on the application research. Adopting Visual Studio2012 to achieve the algorithm example, the calculation results show that the two algorithms can effectively solve the problems of economic operation of hydropower station, and the APSO-SA algorithm has a great improvement in the convergence speed and precision compared with the standard PSO, which has great practical significance in the economic operation of hydropower station.