Dynamic Economic Dispatch Based on Improved Particle Swarm Optimization

Yong Gang Li; Liang Han

doi:10.4028/www.scientific.net/AMM.596.649

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 596Dynamic Economic Dispatch Based on Improved...

Dynamic Economic Dispatch Based on Improved Particle Swarm Optimization

Abstract:

Because wind power can reduce the total generation costs under certain conditions, in order to minimize the system production cost, optimize the power output of thermal unit, a dynamic economic dispatching (DED) model containing wind power based on energy-saving and emission reduction benefits is proposed. Such DED model has a nonlinear objective function and the characteristic of high dimension, and is restricted by many constraints. An improved particle swarm optimization (IPSO) is proposed for solving the problem. Feasible regulation scheme is adopted in equality constrains. On the premise that the speed of iterative convergence is assured, the diversity and the excellence of solution are improved by introducing the differential mutation, which enhances the algorithm in breaking away from the local optimum and speeds up the iterative convergence of the algorithm.

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Periodical:

Applied Mechanics and Materials (Volume 596)

Pages:

649-652

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.596.649

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Online since:

July 2014

Authors:

Yong Gang Li*, Liang Han

Keywords:

Dynamic Economic Dispatch, Emission Reduction Benefits, Energy Saving Benefits, Improved Particle Swarm Optimization, Wind Power

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