Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/38129
Title: Multi-Constrained Optimal Power Flow by an opposition-based differential evolution
Authors: Chen, YY
Chung, CY 
Keywords: Optimal power flow
Opposition-based differential evolution
Prohibited operating zones
Transient stability
Valve-point effects
Issue Date: 2012
Source: IEEE Power and Energy Society General Meeting 2012, San Diego, California, USA, 22-26 July 2012, p. 1-7 How to cite?
Abstract: This paper proposes a robust method for solving the Multi-Constrained Optimal Power Flow (MCOPF) problem based on an opposition-based differential evolution (ODE) algorithm. The MCOPF problem, which considers transient stability, valve-point effects, prohibited operating zones, and branch flow thermal constraints, is a nonlinear, nonconvex, and nondifferentiable optimization problem in power system planning and operation, and is very difficult for conventional optimization methods to handle. The proposed ODE is an enhanced differential evolution (DE) method and employs the Opposition-Based Learning (OBL) for population initialization, production of new generations and also improving population's best fitness value. Numerical tests comparing conventional DE and ODE methods on the New England 10-generator, 39-bus system have validated the effectiveness and robustness of the proposed approach both in convergence speed and solution accuracy.
URI: http://hdl.handle.net/10397/38129
ISBN: 978-1-4673-2727-5
978-1-4673-2728-2 (E-ISBN)
DOI: 10.1109/PESGM.2012.6343917
Appears in Collections:Conference Paper

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