Share This Article:

Simple Real Time Non-Co-Operative Game Theoritic Model for Energy Cost Optimization in Developing Countries

Abstract Full-Text HTML Download Download as PDF (Size:347KB) PP. 220-226
DOI: 10.4236/jpee.2014.24031    2,332 Downloads   2,915 Views   Citations

ABSTRACT

This paper describes the significant cost saving opportunities for consumers in developing countries by the use of a simple non-cooperative game theoretic mathematical model for demandside management techniques to mitigate the massive use of diesel back-up during grid outages and also other cost optimization schemes. Application of real time load scheduling optimization is
investigated during power outages, for residential consumer in India. This method involves a beautiful formulation of a non–cooperation behavior between the diesel generator & the residential consumer during power outages. This involves a tree model with a two player game, where in player one is the diesel generator & player two is the consumer. Depending on the duration of the outage & the consumers limit on the cost for energy different cost optimization strategies can be generated. The load types modeled include passive loads and schedulable, i.e. typically heavy loads. It is found that this DSM schemes show excellent benefits to the consumer. The maximum diesel savings for the consumer due to strategy formulation can be approximately ranging from 45% to as high as 75% for a flat-tariff grid. The study also showed that the actual savings potential depends on the timing of power outage, duration and the specific load characteristics.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

Closepet, A. (2014) Simple Real Time Non-Co-Operative Game Theoritic Model for Energy Cost Optimization in Developing Countries. Journal of Power and Energy Engineering, 2, 220-226. doi: 10.4236/jpee.2014.24031.

References

[1] (2009) Power Annual Report 2009-10, CES, Government, India.
[2] (2006) Energy and the Millennium Development Goals in Africa. UN World Summit.
[3] (2012) Development Goals in Africa Electricity Supply Monitoring Initiative (ESMI), Prayas, India.
[4] Foster, V. and Steinbuks, J. (2009) Paying the Price for Unreliable Power Supplies. In-House Generation of Electricity by Firms Africa.
[5] (2009) Real Cost of Power. Universal Consulting.
[6] (2010) Energy Poverty. World Energy Outlook for UN General Assembly on Millennium Goals.
[7] Behera, R., Panigrahi, B. and Bhusan, B. (2011) Hybrid Short Term Load Forecasting Model of Indian Grid. Energy Power Engineering.
[8] Padmanaban, S. and Sarkar, A. (2001) Electricity DSM in India Strategic & Policy Perspective.
[9] Natarajan, V., Baxi, A., Padmanabhan, R. and Mageshkumar, V. (2011) Low-Cost Bio Mechanical Energy Generator for Off-Grid Users in Emerging Markets. IEEE GHTC.
[10] (2012) Action Plan for Energy Efficiency. Report, Bureau Energy Efficiency, India.
[11] Kim, T. and Poor, V. (2011) Scheduling Power Consumption with Price Uncertainty. IEEE Transactions on Smart Grid.
[12] Mosenian Rad, A.H. and Leon Garcia, A. (2010) Optimal Residential Load Control with Price Prediction in Real Time Electricity Pricing Environments. IEEE Transactions on Smart Grid.
[13] Pedrasa, M.A.A., Spooner, T.D. and MacGill, I.F. (2009) Scheduling of Demand Side Resources Using Binary Particle Swarm Optimization. IEEE Transactions on Power Systems, 24, 1173-1181. http://dx.doi.org/10.1109/TPWRS.2009.2021219
[14] Herter, K. (2007) Residential Implementation of Critical-Peak Pricing of Electricity. Energy Policy, 35, 2121-2130. http://dx.doi.org/10.1016/j.enpol.2006.06.019
[15] Pedrasa, M.A.A., Spooner, T.D. and MacGill, I.F. (2010) Coordinated Scheduling of Residential Distributed Energy Resources to Optimize Smart Home. IEEE Transactions on Smart Grid, 1.
[16] (2011) Energy Infrastructure in India. World Bank Country Report.
[17] Natarajan, V. and Closepet, A.S. (2012) Statistical Analysis of Cost of Energy Due to Power Outages in Developing Countries. Future Computing Conf Submission, France.
[18] Natarajan, V. and Closepet, A.S. (2012) Demand Side Approaches to Manage Electricity Outages in Developing Countries. Energycon, Florence.
[19] Closepet, A.S. (2013) Multi-Layer Optimization for Load Scheduling to Manage Unreliable Grid Outages in Developing Countries. APPEEC, Beijing.

  
comments powered by Disqus

Copyright © 2018 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.