LAPSE:2018.1100
Published Article
LAPSE:2018.1100
Electrical Market Management Considering Power System Constraints in Smart Distribution Grids
Poria Hasanpor Divshali, Bong Jun Choi
November 28, 2018
Rising demand, climate change, growing fuel costs, outdated power system infrastructures, and new power generation technologies have made renewable distribution generators very attractive in recent years. Because of the increasing penetration level of renewable energy sources in addition to the growth of new electrical demand sectors, such as electrical vehicles, the power system may face serious problems and challenges in the near future. A revolutionary new power grid system, called smart grid, has been developed as a solution to these problems. The smart grid, equipped with modern communication and computation infrastructures, can coordinate different parts of the power system to enhance energy efficiency, reliability, and quality, while decreasing the energy cost. Since conventional distribution networks lack smart infrastructures, much research has been recently done in the distribution part of the smart grid, called smart distribution grid (SDG). This paper surveys contemporary literature in SDG from the perspective of the electricity market in addition to power system considerations. For this purpose, this paper reviews current demand side management methods, supply side management methods, and electrical vehicle charging and discharging techniques in SDG and also discusses their drawbacks. We also present future research directions to tackle new and existing challenges in the SDG.
Keywords
demand side management (DSM), electrical vehicle (EV), micro-grid (MG), power market, power stability, smart grid (SG), source side management (SSM)
Suggested Citation
Hasanpor Divshali P, Choi BJ. Electrical Market Management Considering Power System Constraints in Smart Distribution Grids. (2018). LAPSE:2018.1100
Author Affiliations
Hasanpor Divshali P: Department of Computer Science, State University of New York (SUNY) Korea, 119 Songdo, Moonhwa-ro, Yeonsu-Gu, Incheon 406-840, Korea; Department of Computer Science, Stony Brook University, New York, NY 11794, USA
Choi BJ: Department of Computer Science, State University of New York (SUNY) Korea, 119 Songdo, Moonhwa-ro, Yeonsu-Gu, Incheon 406-840, Korea; Department of Computer Science, Stony Brook University, New York, NY 11794, USA
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Journal Name
Energies
Volume
9
Issue
6
Article Number
E405
Year
2016
Publication Date
2016-05-25
Published Version
ISSN
1996-1073
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Original Submission
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PII: en9060405, Publication Type: Review
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LAPSE:2018.1100
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doi:10.3390/en9060405
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Nov 28, 2018
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CC BY 4.0
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Nov 28, 2018
 
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Calvin Tsay
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