Robust Frequency Regulation Capacity Scheduling Algorithm for Electric Vehicles
Yao E, Wong VWS, Schober R (2016)
Publication Language: English
Publication Type: Journal article
Publication year: 2016
Journal
Book Volume: 8
Pages Range: 984 - 997
Journal Issue: 2
Abstract
Electric vehicles (EVs) have the potential to provide frequency regulation service to an independent system operator (ISO) by changing their real-time charging or discharging power according to an automatic generation control (AGC) signal. Recently, the Federal Energy Regulatory Commission has issued Order 755 to ISOs to introduce a performance-based compensation scheme in the frequency regulation market. The goal is to provide economic incentives for fast ramping resources such as EVs to participate in the market. In this paper, we model the EV frequency regulation service under the performance-based compensation scheme. Thereby, a robust optimization framework is adopted for the formulation of a frequency regulation capacity scheduling problem. Our problem formulation takes into account the performance-based compensation scheme, the random AGC signal, and the dynamic arrival and departure times of the EVs. We propose an efficient algorithm to solve the formulated problem. Simulation results show that the proposed algorithm improves the revenue under the performance-based compensation scheme compared with a benchmark algorithm.
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APA:
Yao, E., Wong, V.W.S., & Schober, R. (2016). Robust Frequency Regulation Capacity Scheduling Algorithm for Electric Vehicles. IEEE Transactions on Smart Grid, 8(2), 984 - 997. https://doi.org/10.1109/TSG.2016.2530660
MLA:
Yao, Enxin, Vincent W. S. Wong, and Robert Schober. "Robust Frequency Regulation Capacity Scheduling Algorithm for Electric Vehicles." IEEE Transactions on Smart Grid 8.2 (2016): 984 - 997.
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