A Joint Planning Method for Substations and Lines in Distribution Systems Based on the Parallel Bird Swarm Algorithm

Kuihua Wu, Kun Li, Rong Liang, Runze Ma, Yuxuan Zhao, Jian Wang, Lujie Qi, Shengyuan Liu, Chang Han, Li Yang and Minxiang Huang
Additional contact information
Kuihua Wu: Economic & Technology Research Institute, State Grid Shandong Electric Power Company, Jinan 250021, China
Kun Li: Economic & Technology Research Institute, State Grid Shandong Electric Power Company, Jinan 250021, China
Rong Liang: Economic & Technology Research Institute, State Grid Shandong Electric Power Company, Jinan 250021, China
Runze Ma: School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
Yuxuan Zhao: School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
Jian Wang: State Grid Shandong Electric Power Research Institute, Jinan 250002, Shandong, China
Lujie Qi: Economic & Technology Research Institute, State Grid Shandong Electric Power Company, Jinan 250021, China
Shengyuan Liu: School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
Chang Han: School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
Li Yang: School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
Minxiang Huang: School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China

Energies, 2018, vol. 11, issue 10, 1-14

Abstract: Reasonable distribution network planning schemes can not only improve the power quality and power supply capacity of the power system, but also increase the economic benefits and welfare of the whole society. In this work, a bi-level optimization model is proposed for the joint planning of substations and lines in looped urban distribution systems. The upper-level model aims to address the substation locating and sizing problem, whereas the lower-level model the network planning problem. Both the substations directly supplying power to a load and the contralateral substations that act as backup power source to the load are considered in the bi-level model. In order to solve the bi-level planning model which is mathematically mixed integer programing and with plenty of continuous and discrete variables, the bird swarm algorithm is improved and applied based on the idea of parallel computing of big data theory. Simulations on actual planning problems are employed to verify the effectiveness of the proposed bi-level distribution network planning model and the parallel bird swarm algorithm.

Keywords: distribution network planning; bi-level optimization; bird swarm algorithm; master-slave architecture (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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