Abstract
Plug in Electric Vehicles (PEVs), replacing a considerable share of the nation’s light vehicle recommends the potential of reducing dependence on petroleum fuels together with important economic and environmental benefits. The impact of PEVs will be most significantly felt by the electric power distribution networks. The price-demand characteristics of PEV can assist System Operator (SO) to produce prolific solutions in optimization of the grid. In this pursuit, this paper presents an innovative approach to charge the PEV for sustaining operational standards in power networks in terms of voltage profile, distribution network losses and to maximize energy transferred to PEVs. This paper also enunciates a methodology supported by the unique price elastic characteristics of PEVs to maintain operational standards at minimum cost of generation and with maximum load catering including forecasted PEVs load. The proposed methodology demonstrates a power management strategy using smart coordination approach to (a) design a charging-discharging schedule for the PEVs that maximizes energy delivered to PEV batteries, (b) reduce the peak demand and transmission losses so that grids can avoid the situation of overloading and (c) maintain price equilibrium in power market. Effectively employing this procedure may lead to an operating scenario where an overall benefit of all the power market participants with standard operational status can be ensured and the over-pricing of electricity will be minimized.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
S. Sen, S. Chanda, S. Sengupta, A. De, Demand response governed swarm intelligent grid scheduling framework for social welfare. Int. J. Electr. Power Energy Syst., Elsevier 78, 783–792 (2016)
R. Farrokh, I. Ali, Demand response as a market resource under the smart grid paradigm. IEEE Trans. Smart Grid 1(1), 110–116 (2000)
A. Ipakchi, in Demand Side and Distributed Resource Management—A Transactive Solution. IEEE Power and Energy Society General Meeting (2011)
L. Fernandez, T. Roman, R. Cossent, C. Domingo, P. Frias, Assessment of the impact of plug-in electric vehicles on distribution networks. IEEE Trans. Power Syst. 26(1), 206–213
J. Lopes, F. Soares, P. Almeida, Integration of electric vehicles in the electric power system. Proc. IEEE 99(1), 168–183 (2011)
N. Ramasamy, Computer-aided system analysis, Marcel Dekkar (INC, New York, 2002)
D. Sara, S. Amir et al., Real-time coordination of plug-in electric vehicle charging in smart grids to minimize power losses and improve voltage profile. IEEE Trans. Smart Grid 2(3) (2011)
B. Terry, in Energy Efficiency, Demand Response and PHEVs and the Smart Grid: Pulling It All Together, Summer Seminar (2010)
M. Erol-Kantarci, in Decentralized demand side management of Plug-in hybrid vehicles in a Smart Grid, Summer Seminar (2010)
T. Hussein, in Prediction-based charging of PHEVs from the smart grid with dynamic pricing, 1st IEEE Workshop on Smart Grid Networking Infrastructure (Colorado, SGNI, 2010)
S. Sojoudi et al., in Optimal Charging of Plug-In Hybrid Electric Vehicles in Smart Grids, Power Engineering Society, IEEE General Meeting—PES (2010)
E. Sortomme, M.A. El-Sharkawi, in Optimal Power Flow for a System of Microgrids with Controllable Loads and Battery Storage, Power Systems Conference and Exposition, 2009. PSCE ‘09
L. Fangxing, Q. Wei et al., Smart transmission grid: vision and framework. IEEE Trans. Smart Grid 1(2) (2010)
M. Jose, M. Nelson, R. Ilya, Demand response and distribution grid operations: opportunities and challenges. IEEE Trans. Smart Grid 1(2) (2010)
A.-H. Mohsenian-Rad, V.W.S. Wong et al., Autonomous demand-side management based on game-theoretic energy consumption scheduling for the future smart grid. IEEE Trans. Smart Grid 1(3) (2010)
K. Pouyan, M. Hassan, A. Hassan, in Load profile reformation through demand response programs using smart grid, Modern Electric Power Systems 2010 (MEPS’10), Wroclaw, Poland
R. Yann, B. Seddik et al., Optimal power flow management for grid connected PV systems with batteries. IEEE Trans. Sustain. Energy 2(3) (2011)
W.D.J. King, C.S. Özveren, D.A. Bradley et al., in Economic Load Dispatch Optimization of Renewable Energy in Power System Using Genetic Algorithm, Power Tech 2007, Lausanne
G. Martin, A. Göran, Optimal power flow of multiple energy carriers. IEEE Trans. Power Systems 22(1) (2007)
C. Carlo, C. Costantino, S. Pierluigi, Combined operations of renewable energy systems and responsive demand in a smart grid, IEEE Trans. Sustain. Energy 2(4) (2011)
K. Arman, A. Anuradha, in The Effect of a Smart Meter on Congestion and Stability in a Power Market, 49th IEEE Conference on Decision and Control (Atlanta, GA, USA, 2010) pp. 194–199
S. Pedram, A.-H. Mohsenian-Rad et al., in Optimal real-time pricing algorithm based on utility maximization for smart grid, 1st IEEE International Conference on Smart Grid Communication (Maryland, USA, 2010)
M.O. Buygi, G. Balzer et al., Market-based transmission expansion planning. IEEE Trans. Power Syst. 19(4) (2004)
T.S.P. Fernandes et al., Load shedding strategies using optimal load flow with relaxation of restrictions. IEEE Trans. Power Syst. 23(2), 712–718 (2008)
G.M. Huang, N.C. Nair, in An OPF Based Algorithm to Evaluate Load Curtailment Incorporating Voltage Stability Margin Criterion, www.pserc.wisc.edu. Accessed Nov. 2001
F. Kjetil et al., in Joint State-Space Model for Electricity Spot and Futures Prices, Norwegian Computing Centre (2002)
C. Florin, G. Mevludin et al., in Interior-Point Based Algorithms for the Solution of Optimal Power Flow Problems, Electric Power Systems Research (Elsevier, New York, 2007) pp. 508–517
C. Romain, M. Samir, Electrical vehicles in the smart grid: a mean field game analysis. IEEE J. Sel. Areas Commun. 30(6), 1086–1096 (2012)
C. Gerkensmeyer et al., in Technical Challenges of Plug in Hybrid Electric Vehicles and Impacts to the US Power System: Distribution System Analysis, Prepared for the U.S. Department of Energy under Contract DE-AC05-76RL01830, 2010
S. Rajakaruna, F. Shahnia, A. Ghosh, in Plug in Electrical Vehicles in Smart Grids (Springer Nature, Berlin, 2015)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Singha, P., Ghosh, D., Koley, S., Sarkar, R., Sen, S. (2019). Smart Coordination Approach for Power Management with PEV Based on Real Time Pricing. In: Chattopadhyay, S., Roy, T., Sengupta, S., Berger-Vachon, C. (eds) Modelling and Simulation in Science, Technology and Engineering Mathematics. MS-17 2017. Advances in Intelligent Systems and Computing, vol 749. Springer, Cham. https://doi.org/10.1007/978-3-319-74808-5_23
Download citation
DOI: https://doi.org/10.1007/978-3-319-74808-5_23
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-74807-8
Online ISBN: 978-3-319-74808-5
eBook Packages: EngineeringEngineering (R0)