Optimal Allocation of Distributed Generation Based onGenetic Algorithms and Differential Evolution Algorithm

doi:10.11930/j.issn.1004-9649.2013.1.16.4

Abstract

Abstract: Selection of the position and rated capacity of the distributed generation (DG) is crucial for power system in planning, design and investment. Genetic algorithm and differential evolution algorithm are adopted for the optimal allocation of DG based on a 10-node distribution network and an uncertainty DG model is built and added into the optimization analysis with an optimization algorithm program. The load flow is calculated for a distribution network with DG and the relation between installed DG capacity and the system’s total transmission loss is analyzed. The computational example shows that the proposed method of optimal allocation is reasonable and effective in improving the voltage distribution of distribution network, reducing transmission loss and improving the system’s output factor.

Key words: Distributed generation, optimal allocation, uncertainty model, genetic algorithm, differential evolution algorithm

CLC Number:

TM614

YUAN Mian-qi, ZOU Zhen-yu, SUN Kai-qi, LIU He-jin, LI Ke-jun. Optimal Allocation of Distributed Generation Based onGenetic Algorithms and Differential Evolution Algorithm[J]. Electric Power, 2013, 46(1): 16-20.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.2013.1.16.4

https://www.electricpower.com.cn/EN/Y2013/V46/I1/16

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