Improved Adaptive And Hybrid Genetic Algorithm Based Innerplant Economical Operation For Pumped Storage Power Station

Pumped storage power station with its unique role in energy storage and filling valleys and fast, flexible start and stop feature'can be a system to bear peaking, frequency modulation, phase modulation, voltage regulation, spinning reserve, black start accident and the importance of alternative technologies means to be an increasingly wide attention. Study of pumped-storage power station to improve the economic operation of the power system of power quality, reliability and economical significance. Based on the research pumped-storage plant of economic operation as the starting point, the pumped-storage plant of economic operation of the genetic algorithm, and the optimized mathematical model of solving method of computer models are studied and improved. According to the basic principle of genetic algorithms and operating procedures, expounds the mathematical model in the pumped-storage plant of economic operation of the concrete implementation process.Based on the pumped-storage plant operation optimization, combining the actual situation and power operation requires consideration of the key problems for ever, the internal operation optimization of genetic algorithm, the improved model established considering the pumped-storage unit undertake random load, reactive load, avoid cavitation vibration restricted operation interval and consider the optimized operation mode adjust the pumped-storage plant operation optimization of genetic algorithm, the mathematical model.Solving mathematical model of optimal load distribution, hydro turbine safety operation area is composed of a series of discrete intervals, in the initial population generation, increase of cavitation, vibration and the "S" shape characteristic, the constraint of every initial solution is feasible in the initial population, reduce the search space and time, improve the computational efficiency. According to the model of optimal combination of units, and the minimum output power design made such constraints, guiding the initial population, save the stochastic method feasible solutions to waste time. Formulate pumped-storage power station, the optimal operation of the plan is a double decision-making process, in computing, according to an optimal strategy of anyons strategy is optimal theory, the second iteration decision to direct the crew into compute the optimal load sharing space to solve, reduce the check the complexity of computation.In order to verify the model proposed in this paper and optimization method of the feasibility and availability, through to the Ming tombs pumped-storage pumping condition, results showed:This model and the optimization algorithm could save water 11.3×104m3 than Traditional GA operation, improve efficiency about 1.43%,and could generate electricity, to more 23.4×104kW·h.Indicates that the improved adaptive hybrid genetic algorithm model and the optimization method pumped-storage hydropower plant in economical operation efficiency.