A hybrid genetic algorithm (GA)–particle swarm optimization (PSO) algorithm for demand side management in smart grid considering wind power for cost optimization-Reference-Cited by-同舟云学术

A hybrid genetic algorithm (GA)–particle swarm optimization (PSO) algorithm for demand side management in smart grid considering wind power for cost optimization

Published:2021-05-06 Issue:2 Volume:46 Page:
ISSN:0256-2499
Container-title:Sādhanā
language:en
Short-container-title:Sādhanā

Author:

Roy Chitrangada,Das Dushmanta Kumar^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

https://link.springer.com/content/pdf/10.1007/s12046-021-01626-z.pdf

Reference39 articles.

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3. Moslehi K and Kumar R 2010 A reliability perspective of the smart grid. IEEE Transactions on Smart Grid 1(1): 57–64

4. Janocha S, Baum S and Stadler I 2016 Cost minimization by optimization of electricity generation and demand side management. In: Proceedings of the 2016 International Energy and Sustainability Conference (IESC), IEEE, pp. 1–7

5. Gellings C W 1985 The concept of demand-side management for electric utilities. Proceedings of the IEEE 73(10): 1468–1470

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