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Abstract

With the rise of a new round of energy revolution, the distribution network with distributed generation (DG) has become an important form of the future power grid. However, DG itself has the characteristics of randomness and intermittence, which brings impacts and challenges to the distribution network planning. Based on the uncertainty theory, the fuzzy simulation of DG and load are used to model the distribution network. The model takes the minimum annual investment cost and the minimum cost of network loss as the optimization target. Single parent genetic algorithm based on spanning tree is optimized and verified by 18 node system simulation.

Keywords

Distribution generation Network planning Uncertainty theory Genetic algorithm 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.School of Electrical EngineeringBeijing Jiaotong UniversityHaidian District, BeijingChina

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