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Evaluation of community virtual power plant under various pricing schemes
Okpako, O. Rajamani, Haile S. Pillai, Prashant Anuebunwa, U.R. Swarup, K.S.
Okpako, O.
Rajamani, Haile S.
Pillai, Prashant
Anuebunwa, U.R.
Swarup, K.S.
Publication Date
2016-10-13
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© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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Abstract
Technological advancement on the electricity grid has focused on maximizing its use. This has led to the introduction of energy storage. Energy storage could be used to provide both peak and off-peak services to the grid. Recent work on the use of small units of energy storage like battery has proposed the vehicle to grid system. It is propose in this work to have energy storage device embedded inside the house of the energy consumer. In such a system, consumers with battery energy storage can be aggregated in to a community virtual power plant. In this paper, an optimized energy resource allocation algorithm is presented for a virtual power plant using genetic algorithm. The results show that it is critical to have a pricing scheme that help achieve goals for grid, virtual power plant, and consumers.
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Citation
Okpako O, Rajamani H-S, Pillai P et al (2016) Evaluation of community viral power plant under various pricing schemes. In: 2016 IEEE Conference on Smart Energy Grid Engineering (SEGE),. 21-24 Aug 2016, Canada.
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Conference paper