An Incentive-Based Mechanism to Enhance Energy Trading among Microgrids, EVs, and Grid-Reference-Cited by-同舟云学术

An Incentive-Based Mechanism to Enhance Energy Trading among Microgrids, EVs, and Grid

Published:2023-09-01 Issue:17 Volume:16 Page:6359
ISSN:1996-1073
Container-title:Energies
language:en
Short-container-title:Energies

Author:

Khan Muhammad Ahsan¹,Hussain Akhtar²,Lee Woon-Gyu¹^ORCID,Kim Hak-Man¹³^ORCID

Affiliation:

1. Department of Electrical Engineering, Incheon National University, 119 Academy-ro, Yeonsu-gu, Incheon 22012, Republic of Korea

2. Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB T6G 2R3, Canada

3. Research Institute for Northeast Asian Super Grid, Incheon National University, 119 Academy-ro, Yeonsu-gu, Incheon 22012, Republic of Korea

Abstract

The growing penetration of electric vehicles (EVs) introduces both opportunities and challenges for power grid operators. Incentivization is considered a viable option to tempt EV owners to participate in supporting the grid during peak load intervals while receiving compensation for their services. Therefore, this study proposes a two-step incentive mechanism to reduce the peak load of the grid by enabling power trading among the microgrid, EVs and the utility grid. In the first step, an incentive price is determined for EVs considering the grid-loading conditions during different hours of the day. In the second step, a multi-objective optimization problem is formulated to optimize trading among different entities, such as EVs, the microgrid and the utility grid. The two objectives considered in this study are the operation cost of the microgrid and the revenue of EVs. Monte Carlo simulations are used to deal with uncertainties associated with EVs. Simulations are conducted to analyze the impact of different weight parameters on the energy-trading amount and operation cost of EVs and MG. In addition, a sensitivity analysis is conducted to analyze the impact of changes in the EV fleet size on the energy-trading amount and operation cost.

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction

Link

https://www.mdpi.com/1996-1073/16/17/6359/pdf

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