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Article
Optimal Control of Plug–In Hybrid Electric Vehicles in Frequency Regulation Service
International Journal of Powertrains
  • Zihao Li
  • Navid Sabbaghi, Saint Mary's College of California
SMC Author
Navid Sabbaghi
Status
Faculty
School
School of Economics and Business Administration
Document Type
Article
Publication Date
1-1-2015
Description/Abstract

Growing penetration of plug-in hybrid electric vehicles (PHEVs) places significant impacts on grid, either as electric loads or potential valued vehicle-to-grid (V2G) services. This paper proposes an optimisation strategy to recharge PHEVs batteries with minimum charging cost as well as to produce desired power for grid frequency regulation. The cost arising from the battery charging and the revenue obtained by providing regulation are investigated and represented mathematically. Dynamic programming (DP) algorithm is applied to construct the problem and to compute the optimal controlling strategy for a fleet of PHEVs. Battery state-of-charge (SoC) and charging current are taken as the state factor and control factor of the objective function. Driving energy demand and regulation requirements are treated as disturbances in objective function. Pricing data in cost function and load data in objective function are original from PJM. Simulations are provided to illustrate the optimality of the proposed strategy in 24 hours with variations of parameters.

Lasallian research
Yes
Scholarly
Yes
Peer Reviewed
1
DOI
10.1504/IJPT.2015.067459
Disciplines
Original Citation

Li, Z., & Sabbaghi, N. (2015). Optimal control of plug–in hybrid electric vehicles in frequency regulation service. International Journal of Powertrains, 4(1), 71-88. doi:10.1504/IJPT.2015.067459

Citation Information
Zihao Li and Navid Sabbaghi. "Optimal Control of Plug–In Hybrid Electric Vehicles in Frequency Regulation Service" International Journal of Powertrains Vol. 4 Iss. 1 (2015) p. 71 - 88
Available at: http://works.bepress.com/navid-sabbaghi/11/