Abstract
Market grounded pricing of electrical energy provides consumers with the liberty of lowering their electricity bill by shifting the load to lower price slots. First part of the work presented in this paper is the outcome of application of DSM techniques to residential consumers. The proposed algorithm schedules the charging time for household inverter battery for the next day considering day ahead pricing, hence lowering the peak demand on utility and generating savings to consumers. Second part of the paper proposes an optimizing algorithm for charging PHEVs parked in a parking garage at a work place. Based on power demand and duration of stay, PHEVs are prioritized and charged. Part of the demand is met by solar PV panels and rest from utility mains. MATLAB tools have been used for performance evaluation and algorithm implementation.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Saber AY, Venayagamoorthy GK (2011) Plug-in vehicles and renewable energy sources for cost and emission reductions. IEEE Trans Ind Electron 58(4):1229–1238
Ipakchi A, Albuyeh F (2009) Grid of the future. IEEE Power Energy Mag 7(2):52–62
Tomic J, Kempton W (2007) Using fleets of electric drive vehicles for grid support. J. Power Sources 168(2):459–468
Masters GM (2004) Renewable and efficient electric power systems. Wiley, Hoboken, NJ
Acha S, Green TC, Shah N (2009) Impacts of plug-in hybrid vehicles and combined heat and power technologies on electric and gas distribution network losses. Proc IEEE Conf Sustain Alternative Energy: 1–7
Deilami S, Masoum AS, Moses PS, Masoum MAS (2011) Realtime coordination of plug-in electric vehicle charging in smart grids to minimize power losses and improve voltage profile. IEEE Trans Smart Grid 2(3):456–467
Masoum AS, Deilami S, Moses PS, Masoum MAS, Abu- Siada A (2011) Smart load management of plug-in electric vehicles in distribution and residential networks with charging stations for peak shaving and loss minimisation considering voltage regulation. IET Gener Transmiss Distrib 5(8):877–888
Mitra P, Venayagamoorthy GK, Corzine KA (2011) Smartpark as a virtual STATCOM. IEEE Trans Smart Grid 2(3): 445–455
Hutson C, Venayagamoorthy GK, Corzine KA (2008) Intelligent scheduling of hybrid and electric vehicle storage capacity in a parking lot for profit maximization in grid power transactions. In: Proceedings of IEEE Energy 2030 Conference, Nov 2008, pp 1–8
A Mohamed M Elshaer O Mohammed 2011 Bi-Directional AC-DC/DC-AC converter for power sharing of hybrid AC/DC systems. In: Proceedings of IEEE PES General Meeting. Detroit, MI, USA, Jul 2011, pp 1–8
Gellings CW, Chamberlin JH (1993) Demand side management: concepts and methods, 2nd edn. PennWell Books, Tulsa, OK
Mohsenian-Rad AH, Leon-Garcia A (2010) Optimal residential loadcontrol with price prediction in real-time electricity pricing environments. IEEE Trans Smart Grid 1(2):120–133
Triki C, Violi A (2009) Dynamic pricing of electricty in retail markets. Q J Oper Res 7(1):21–36
Bringing residential real-time pricing to scale in Illinois: Policy recommendations technical report CNT Energy (2010)
Gan G, Ma C, Wu J (2010) Data clustering: theory, algorithms and applications
Bakirci K (2009) Models of solar radiation with hours of bright sunshine: a review. Renew Sustain Energy Rev 13:2580–2588
Batlles FJ, Rubio MA, Tovar J, Olmo FJ, Alados-Arboledas L (2000) Empirical modeling of hourly direct irradiance by means of hourly global irradiance. Energy 25:675–88
Karakoti I, Pande B, Pandey K (2011) Evaluation of different diffuse radiation models for Indian stations and predicting the best fit model. Renew Sustain Energy Rev 15:2378–2384
Myers DR (2005) Solar radiation modeling and measurements for renewable energy applications: data and model quality. Energy 30:1517–1531
Kaldellis JK, Zafirakis D, Kondili E (2010) Optimum sizing of photovoltaic- energy storage systems for autonomous small islands. Int J Electr Power Energy Syst 32:24–36
Patel MR Wind and solar power systems: design, analysis, and operation
Ibrahim IA, Hossain MJ, Duck BC (2020) An optimized offline random forests-based model for ultra-short-term prediction of PV characteristics. IEEE Trans Industr Inf 16(1):202–214. https://doi.org/10.1109/TII.2019.2916566
Kawanobe A, Wakao S, Taima T, Kanno N, Mabuchi H (2019) Prediction of representative waveform of surplus PV power based on cluster analysis of power demand and PV output. In: 2019 IEEE 46th photovoltaic specialists conference (PVSC) Chicago, IL, USA, pp 2121–2125. https://doi.org/10.1109/PVSC40753.2019.8980571
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Parvathy, S., Patne, N.R., Safni Usman, T. (2021). Optimal Battery Charging Forecasting Algorithms for Domestic Applications and Electric Vehicles by Comprehending Sustainable Energy. In: Singh, A.K., Tripathy, M. (eds) Control Applications in Modern Power System. Lecture Notes in Electrical Engineering, vol 710. Springer, Singapore. https://doi.org/10.1007/978-981-15-8815-0_3
Download citation
DOI: https://doi.org/10.1007/978-981-15-8815-0_3
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-8814-3
Online ISBN: 978-981-15-8815-0
eBook Packages: EnergyEnergy (R0)