Development and Analysis of Dynamic Time Based Pricing Scheme, RTFPP for Residential Demand Response Program

Authors

  • Mohsin Amin, COMSATS Institute of Information Technology
  • Abdur Rashid COMSATS Institute of Information Technology
  • Aitazaz A. Raja COMSATS Institute of Information Technology

Keywords:

Load Management,, Residential demand response, Dynamic time based pricing, Demand side management

Abstract

Paper proposes fair and dynamic pricing strategy, Real Time Fair Peak Pricing (RTFPP), for residential demand response program which takes into account the intensity of increased load above baseline (must run load) of each user and charge accordingly. Proposed methodology has the potential to increase user confidence, by the induction of fairness and baseline flexibility, hence increasing participation in residential demand response programs for economic operation of system. An algorithm is developed to impose RTFPP scheme on given user, in peak periods, for billing. To show the benefits, diverse realistic user load profiles are imposed with developed algorithm in MATLAB and results are evaluated and analysed.

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

Author Biographies

Mohsin Amin,, COMSATS Institute of Information Technology

Department of Electrical Engineering, COMSATS Institute of Information Technology, Abbottabad, Pakistan

Abdur Rashid, COMSATS Institute of Information Technology

Department of Electrical Engineering, COMSATS Institute of Information Technology, Abbottabad, Pakistan

Aitazaz A. Raja, COMSATS Institute of Information Technology

Department of Electrical Engineering, COMSATS Institute of Information Technology, Abbottabad, Pakistan

References

Aalami, H.A., Yousefi, G.R. and Moghaddam, M.P. (2008). Demand Response Model Considering EDRP and TOU Program. IEEE/PES Transmission and Distribution Conference and Exposition pp. 1-6. Alexander B.R. (2010). Dynamic Pricing Not So Fast A Residential Consumer Perspective, The Electricity Journal 23(6): 39-49. BP’s (2012). Statistical Review of World Energy. Taylor, C.W. (1993). Power system voltage stability, McGraw Hill. Demand Response Program Types. [ONLINE] Available at: http/www.demandresponsedirectory.com/programtypes. html. [Accessed 2 January 2014 Department of Energy, (2006). Benefits of Demand Response in Electricity Markets and Recommendations for Achieving Them, United States of America. Department of Energy. (2006). A report to the US Congress pursuant to section 1252 of the energy policy act of 2005, United States of America. Fang, X., Misra, S., Xue, G., Yang, D. (2012). Smart Grid â The New and Improved Power Grid: A Survey. IEEE Communications Surveys and Tutorials 14(4): 944-980. Federal Energy Regulatory Commission (2012). Assessment of Demand Response and Advanced Metering. Freeman, Sullivan and Company (2008). Benefit-Cost Analysis for Advanced Metering and Time Based Pricing, Freeman, Sullivan and Company. Freeman, Sullivan and Company (2013). Relevant Demand Response Experience and Applications in North America. Hashmi, M., Hanninen, S. and Maki, K. (2011). Survey of smart grid concepts, architectures, and technological demonstrations worldwide, IEEE PES Conference on Innovative Smart Grid Technologies (ISGT Latin America), pp. 1-7. IEEE Smart Grid, ZPRYME. (2012). IEEE smart grid power systems of future: The case for Energy storage, Distributed generation, and Micro-grids. Smart Grid Insights. Law, Y.W., Alpcan, T., Lee, V.C.S., Lo, A., Marusic, S. and Palaniswami, M. (2012). Demand response architectures and load management algorithms for energy efficient power grids a survey, Seventh International Conference on Knowledge, Information and Creativity Support System, pp. 134-141. Lu, E., Brooks, A., Reicher, D., Spirakis, C. and Weihl B. (2010). Demand dispatch. IEEE Power and Energy Magazine 8(3): 20-29. Medina, J., Muller, N. and Roytelman, I. (2010). Demand Response and Distribution Grid Operations: Opportunities and Challenges. IEEE Transactions on Smart Grid 1(2): 193-198. Mohamed, A. and Khan, T.K. (2009). A review of electrical energy management techniques: supply and consumer side industries, Journal of Energy in Southern Africa 20(3): 14-21. Rad, A.H.M. and Garcia, A.L. (2010). Optimal residential load control with price prediction in real-time electricity pricing environments. IEEE Transactions on Smart Grid 1(2): 120-133. Rameez, M., Ali, M., Zaidi, Z.A., Zia, Q., Zakaria, M. and Ahsan, S.M. (2012). Intelligent Load Management Scheme for a Residential Community in Smart Grids Network Using FEDRP. WSEAS Transactions on Power Systems 7(3): 104-113. Taylor, C.W. (1993). Power system voltage stability, McGraw Hill. Wang L., Kusiak A. and Dounis A. (2012). Guest Editorial Special Section on Intelligent Buildings and Home Energy Management in a Smart Grid Environment. IEEE Transactions on Smart Grid 3(4): 119-2120.

Downloads

Published

29.09.2014

How to Cite

Amin, M., Rashid, A., & Raja, A. A. (2014). Development and Analysis of Dynamic Time Based Pricing Scheme, RTFPP for Residential Demand Response Program. Journal of Science, Technology and Arts Research, 3(3), 156–160. Retrieved from https://journals.wgu.edu.et/index.php/star/article/view/560

Issue

Section

Original Research

Categories

Plaudit