Genetic Algorithm Based Peak Load Management for Low Voltage Consumers in Smart Grid

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Genetic Algorithm Based Peak Load Management for Low Voltage Consumers in Smart Grid – A Case Study

Published:2017-08-17 Issue: Volume: Page:445-453
ISSN:2190-3018
Container-title:Information and Communication Technology for Intelligent Systems (ICTIS 2017) - Volume 2
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Author:

Priya Esther B.,Sathish Kumar K.,Venkatesh S,Gokulakrishnan G.,Asha Rani M. S.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-63645-0_51

Reference16 articles.

1. Gomes, A., Antunes, C.H., Martins, A.G.: A multiple objective approach to direct load control using an interactive evolutionary algorithm. IEEE Trans. Power Syst. 22(3), 1004–1011 (2007)

2. Ng, K.H., Sheble, G.B.: Direct load control—a profit-based load management using linear programming. IEEE Trans. Power Syst. 13(2), 688–694 (1998)

3. Majid, M.S., Rahman, H.A., Hassan, M.Y., Ooi, C.A.: Demand side management using direct load control for residential. In: 2006 4th Student Conference on Research and Development, pp. 241–245, Selangor (2006)

4. Dong, X., Yi, P., Iwayemi, A., Zhou, C., Li, S.: Real-time opportunistic scheduling for residential demand response. IEEE Trans. Smart Grid. 4(1), 227–234 (2013)

5. Teive, R.C.G., Vilvert, S.H.: Demand side management for residential consumers by using direct control on the loads. In: Fifth International Conference on Power System Management and Control, Conf. Publ. No. 488, pp. 233–237 (2002)

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