Research Article

Dynamic Optimal Power Flow in FSWGs Integrated Power System

Dynamic Optimal Power Flow (DOPF) is a typical complex multi-constrained non-convex non-linear programming problem when considering the valve-point effect of conventional generators. Moreover, it is mixed integer when considering the discreteness of reactive compensation devices for power system with Fixed Speed Wind Generators (FSWGs). DOPF model in FSWGs integrated power system is established in this study and then a hybrid Taguchi-Particle Swarm Optimization (TPSO) algorithm is proposed for solving the established DOPF model. This hybrid algorithm combines the well-known Particle Swarm Optimization (PSO) algorithm with the established Taguchi method which has been a important tool for robust design. This study clearly presents the improvements obtained despite the simplicity of the hybridization process. The Taguchi method is run only once in every iteration and therefore does not give significant impact in terms of computational cost. The method creates a more diversified population, which also contributes to the success of avoiding premature convergence. IEEE 39-bus system is used to illustrate the effectiveness of the proposed method compared with those obtained from PSO algorithm. The test results show that the proposed method is effective and has a certain practicality.

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Gonggui Chen, 2011. Dynamic Optimal Power Flow in FSWGs Integrated Power System. Information Technology Journal, 10: 385-393.

DOI: 10.3923/itj.2011.385.393

URL: https://scialert.net/abstract/?doi=itj.2011.385.393

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Gonggui Chen

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Research Article

Dynamic Optimal Power Flow in FSWGs Integrated Power System

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