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A method for large scale introduction of wind power generation using PSO under frequency

Author(s): Yuya Maruno, Toshiki Takayama*, Shinichi Iwamoto
Waseda University, 3-4-1 Okubo Shinjuku-ku, Tokyo, 169-8555, Japan
International Journal of Smart Grid and Clean Energy, vol. 3, no. 1, January 2014: pp. 8-14
ISSN: 2315-4462
Digital Object Identifier: 10.12720/sgce.3.1.8-14

Abstract: Recently, environmental problems have prompted the prevalence of renewable energy sources such as wind power. In addition, safety concerns about nuclear power plants in Japan have also increased the adoption of renewable energy technology. In this paper, we use a nonlinear load frequency control model to propose a method for optimal allocation and distribution of wind power to improve the amount of renewable energy in the power grid. Furthermore, when we introduce the wind power under system frequency constraints, we use particle swarm optimization (PSO) and frequency sensitivity to make this proposed method more realistic. Then, to verify the validity of the proposed method, we perform a numerical simulation using a 9-machine 20-bus system.
Keywords: Load frequency control, nonlinear model, particle swarm optimization, wind power, renewable energy

Full Paper.pdf

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