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- W2376048637 abstract "This paper carries out the optimal allocation of the gas turbine unit in the large-scale photovoltaic power station by using adaptive artificial fish swarm algorithm,establishes the optimal allocation model for photovoltaic/turbine complementary power generation system to solve the difficulty of control and dispatching caused by the randomness and intermittence of photovoltaic generation.Objective function is composed by the gain from power selling of the complementary power generation system,Investment costs,operation cost,maintenance cost,environment cost and fuel cost of gas turbine units,in order to achieve the optimal configuration of the gas turbine unit capacity considering fully many constraints,and restrains power fluctuation of photovoltaic generation effectively.Finally the paper carries out a simulation on a 100 MW photovoltaic plant in America,and the results show that the correctness and validity of the model." @default.
- W2376048637 created "2016-06-24" @default.
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- W2376048637 date "2013-01-01" @default.
- W2376048637 modified "2023-09-25" @default.
- W2376048637 title "Adaptive Artificial Fish Swarm Algorithm Based Optimization Configuration of Gas Turbine Unit in Large-scale Photovoltaic Power Station" @default.
- W2376048637 hasPublicationYear "2013" @default.
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