Dynamic economic dispatch based on improved particle swarm optimization and penalty function

In order to minimize the system production cost, optimize the power output of thermal unit, this paper proposes a dynamic economic dispatching (DED) model based on wind power and energy - environmental efficiency. An improved particle swarm optimization(IPSO)combined with penalty function is proposed for solving the high dimension, nonlinear, multi-constrained optimization problem. The proposed algorithm can ensure feasibility of the solution by means of feasible regulation scheme; at the same time to prevent precocious convergence of the algorithm and to quicken the search speed. The differential mutation and a kind of random mutation based on variance of the population's fitness are adopted to improve the diversity of the solution. Numerical experiments demonstrate the rationality of optimization model and great practical value of proposed hybrid strategy, besides, efficiency and high optimization accuracy can be guaranteed.