A fast and efficient coordinated vehicle-to-grid discharging control scheme for peak shaving in power distribution system.

Erdogan, Nuh; Erden, Fatih; Kisacikoglu, Mithat

Abstract

This study focuses on the potential role of plug-in electric vehicles (PEVs) as a distributed energy storage unit to provide peak demand minimization in power distribution systems. Vehicle-to-grid (V2G) power and currently available information transfer technology enables utility companies to use this stored energy. The V2G process is first formulated as an optimal control problem. Then, a two-stage V2G discharging control scheme is proposed. In the first stage, a desired level for peak shaving and duration for V2G service are determined off-line based on forecasted loading profile and PEV mobility model. In the second stage, the discharging rates of PEVs are dynamically adjusted in real time by considering the actual grid load and the characteristics of PEVs connected to the grid. The optimal and proposed V2G algorithms are tested using a real residential distribution transformer and PEV mobility data collected from field with different battery and charger ratings for heuristic user case scenarios. The peak shaving performance is assessed in terms of peak shaving index and peak load reduction. Proposed solution is shown to be competitive with the optimal solution while avoiding high computational loads. The impact of the V2G management strategy on the system loading at night is also analyzed by implementing an off-line charging scheduling algorithm.

Citation

ERDOGAN, N., ERDEN, F. and KISACIKOGLU, M.A. 2018. A fast and efficient coordinated vehicle-to-grid discharging control scheme for peak shaving in power distribution system. Journal of modern power systems and clean energy [online], 6(3), pages 555-566. Available from: https://doi.org/10.1007/s40565-017-0375-z

• Journal Article Type: Article
• Acceptance Date: Nov 23, 2017
• Online Publication Date: Jan 25, 2018
• Publication Date: May 31, 2018
• Deposit Date: May 6, 2022
• Publicly Available Date: May 6, 2022
• Journal: Journal of Modern Power Systems and Clean Energy
• Print ISSN: 2196-5625
• Electronic ISSN: 2196-5420
• Publisher: Springer
• Peer Reviewed: Peer Reviewed
• Volume: 6
• Issue: 3
• Pages: 555-566
• DOI: https://doi.org/10.1007/s40565-017-0375-z
• Keywords: Disbribution transformer; Optimal discharging control; Peak shaving; Plug-in electric vehicles; Vehicle-to-grid
• Public URL: https://rgu-repository.worktribe.com/output/1580688