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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 12
3760-3763

Research on multi-objective optimization of micro-grid based on improved NSGA-Ⅱ algorithm

Zhang Jun1,2
Ren Hao1,2
Liu Tingzhang3
1. School of Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China
2. Shanghai Key Laboratory of Power Station Automation Technology, Shanghai 200090, China
3. School of Mechatronic Engineering & Automation, Shanghai University, Shanghai 200072, China
DOI: 10.19734/j.issn.1001-3695.2018.07.0435

Abstract

In solving the problem of multi-objective optimization operation of distributed power supply in micro-grid, aiming at the limitations of traditional NSGA-Ⅱ algorithm in terms of approximation and computational efficiency, considering the difference of individual similarity in evolution process and the possibility of the algorithm falling into local optimum, this paper proposed an improved NSGA-Ⅱ algorithm. The new algorithm introduced the information entropy mechanism to improve the ope-rator, and approximated the crossover probability and mutation probability as the decreasing function model and the Cauchy distribution model respectively. The performance test proves that the new algorithm is effective. Taking distributed power supply access to IEEE 30-node power system as an example for simulation experiment, compared with the traditional NSGA-Ⅱ multi-objective optimization algorithm, the result shows the superiority of the improved algorithm in improving the convergence speed and the optimization indices.

Foundation Support

上海市电站自动化技术重点实验室资助项目(13DZ2273800)
国家自然科学基金资助项目(61273190)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.07.0435
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 12
Section: Algorithm Research & Explore
Pages: 3760-3763
Serial Number: 1001-3695(2019)12-051-3760-04

Publish History

[2019-12-05] Printed Article

Cite This Article

张军, 任豪, 刘廷章. 基于改进NSGA-Ⅱ算法的微电网多目标优化研究 [J]. 计算机应用研究, 2019, 36 (12): 3760-3763. (Zhang Jun, Ren Hao, Liu Tingzhang. Research on multi-objective optimization of micro-grid based on improved NSGA-Ⅱ algorithm [J]. Application Research of Computers, 2019, 36 (12): 3760-3763. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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