Solving Transient-stability Constrained Optimal Power Flow Problems

The paper extends our pervious work on solving multi-contingency transient stability constrained optimal power flow problems (MC-TSCOPF) with the approach of particles swarm optimization (PSO). A hybrid PSO method that incorporates with a new wavelet theory based mutation operation, intends to improve the searching strategies on previously used PSO methods, is proposed to solve MC-TSCOPF problems. It employs wavelet theory in enhancing PSO methods in exploring solution spaces more effectively and robustly in reaching better solutions. A case study on the New England 39-bus system indicates that the proposed hybrid PSO outperforms significantly existing PSO methods in terms of solution quality and stability. As a result, reasonable solutions can be reached with faster convergence speeds and smaller computational efforts. Key Words, Particles swarm optimization, genetic algorithm, wavelet theory, mutation, multi-contingency transient stability constrained optimal power flow problems.