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- W2391830103 abstract "In order to improve the comprehensive performance of hydro-thermal power system with cascade hydroelectric stations, a multi-objective optimization model which can make the coordination among economy, water resources and environmental protection is established. The multi-objective optimization problem, in which, three targets have different dimension and weight coefficient is difficult to determine, is normalized by using satisfaction function and Euclidean distance function, and then is solved by using improved particle swarm algorithm. A hydro-thermal power system with eight cascade hydroelectric stations and ten thermal plants in Guangxi is studied as an example to simulate the scheduling optimization of daily power generation in normal water period. The results show that the hydropower output is greater than the output of thermal power plants, which reduces coal consumption and pollutant emissions. The case study also verifies the effectiveness of multi-objective optimization method." @default.
- W2391830103 created "2016-06-24" @default.
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- W2391830103 date "2014-01-01" @default.
- W2391830103 modified "2023-09-25" @default.
- W2391830103 title "Multi-Objective Optimized Scheduling for Hydro-thermal Power System Based on Energy Saving and Environmental Protection" @default.
- W2391830103 hasPublicationYear "2014" @default.
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