The Research of Optimization in Electric Energy Transportation Based on Improved Imperialist Competitive Algorithm

Meiqiong Wu, Dongxiao Niu, Yali Huang


As a weak link in China's economic system, the construction of electric energy transportation system including power transmission network becomes urgent affairs. This paper does a study on optimization of distribution network planning in electric energy transportation system, and proposes imperialist competitive algorithm which based on biological evolution, through the introduction of differential evolution strategy, it can effectively enhance the diversity of the population and retain outstanding individuals, so it can avoid falling into local optimum in the optimization process. A numeric example is employed to validate the effectiveness of the proposed model.


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