Abstract
The increase of the intensive power proportion in distribution network brings new challenges to load dispatch of power plant, and intelligent distribution would be a key issue in the future power integrated system. The paper combined the strength Pareto evolutionary algorithm with the parallel genetic algorithm (PGA) ,namely the Pseudo-parallel SPEA2 Algorithm for solving the dynamic economic load dispatch problem. This problem is formulated as a nonlinear constrained multi-objective optimization problem, meanwhile, synthetically considers dynamic constraints handling, the minimum of fuel cost and the pollution emission. Besides, the paper analyzed the feasibility and validity of this algorithm in the load dispatch of power system.
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