• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

Electric Power Construction ›› 2016, Vol. 37 ›› Issue (6): 103-108.doi: 10.3969/j.issn.1000-7229.2016.06.015

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Optimal Configuration of Distributed Generation Based on Improved Fruit Fly Optimization Algorithm

GUAN Tiansheng1, WANG Qi2, LIU He3, ZHENG Yuan4, LI Dexin3, LIU Yadong3, PAN Chao5   

  1.  1.Training Centre of State Grid Jilinsheng Electric Power Supply Company, Changchun 130062, China;  2. China Power Engineering Consulting Group Northeast Electric Power Design Institute Co., Ltd., Changchun 130021, China;3. Electric Power Research Institute, State Grid Jilinsheng Electric Power Supply Company, Changchun 130021, China;4. Jilin Engineering Vocational College, Siping 136001, Jinlin Province, China;  5. School of Electrical Engineering, Northeast Dianli University, Jilin 132012, Jilin Province, China
  • Online:2016-06-01

Abstract:

This paper researches the optimal allocation problem of distributed generation (DG) in distribution network, and establishes a multi-objective optimal configuration considering investment benefit, voltage quality and power loss comprehensively based on fuzzy membership technique, which can effectively solve the excessive optimization problem caused by different magnitude of targets. We improve a new bionic intelligent algorithm-fruit fly optimization algorithm (FOA) and introduce the operation of attraction and repulsion into the algorithm optimization process by following the chemotaxis of bacteria in foraging process to improve the population diversity and reduce the possibility of falling into local optimum. The simulation results of IEEE 33 node system show that, compared with the traditional FOA and particle swarm optimization (PSO) algorithm, the improved fruit fly optimization algorithm (IFOA) has a great advantage in search speed and accuracy and can quickly and effectively search the optimal configuration, which verify the validity and rationality of the improved algorithm.

Key words:  improved fruit fly optimization algorithm (IFOA), distribution network, distributed generation (DG), multi-objective optimization, comprehensive membership degree

CLC Number: