Optimal allocation of microgrids based on nonlinear programming genetic algorithm
Authors: 
Wang Jin, Zhang Yu, Zhang Shenglan, Lu QuanAuthors Info & Claims
Wang Jin, Zhang Yu, Zhang Shenglan, Lu QuanAuthors Info & ClaimsPages 251 - 255
Abstract
In order to reduce the cost of micro-grid operation investment, this paper establishes the optimal allocation model of micro-grid with economic cost as the objective function, and adds the environmental protection index to the cost calculation. The nonlinear programming genetic algorithm is used to simulate and calculate, and the convergence speed of the nonlinear programming genetic algorithm (NPGA) is analyzed and compared, and good results are obtained.
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Index Terms
- Optimal allocation of microgrids based on nonlinear programming genetic algorithm
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Published In
December 2018
365 pages
ISBN:9781450365703
DOI:10.1145/3305275
Copyright © 2018 ACM.
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- International Engineering and Technology Institute, Hong Kong: International Engineering and Technology Institute, Hong Kong
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 29 December 2018
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- Research
- Refereed limited
Conference
ISBDAI '18
ISBDAI '18: International Symposium on Big Data and Artificial Intelligence
December 29 - 30, 2018
Hong Kong, Hong Kong
Acceptance Rates
ISBDAI '18 Paper Acceptance Rate 70 of 340 submissions, 21%;
Overall Acceptance Rate 70 of 340 submissions, 21%
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