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https://doi.org/10.1145/330527...
Article . 2018 . Peer-reviewed
License: https://www.acm.org/publications/policies/copyright_policy#Background
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Optimal allocation of microgrids based on nonlinear programming genetic algorithm

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 29 Dec 2018Publisher:ACMJournal:Proceedings of the International Symposium on Big Data and Artificial Intelligence
Authors: Wang Jin; Zhang Yu; Zhang Shenglan; Lu Quan;

doi: 10.1145/3305275.3305326

Optimal allocation of microgrids based on nonlinear programming genetic algorithm

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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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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