A Load Prioritization Model for a Smart Demand Responsive Energy Management System in the Residential Sector

Suratsavadee Koonlaboon KORKUA, Kamon THINSURAT


In order to strengthen energy security while reducing environmental impact, particularly from global warming and greenhouse gas (GHG) emissions, the government of Thailand has established a 20-year Energy Efficiency Development Plan (EEDP), aiming to reduce a 20 % share of final energy consumption by 2030. The energy saving potential assessment reveals that the forecasted energy saving by the residential sector holds more than 60 % of the overall electricity saving shares. Therefore, in this paper, the situation of Thailand’s energy is presented and the energy conservation plan is reviewed. Next, a smart demand responsive energy management system under ZigBee/IEEE 802.15.4 based wireless communication is proposed. An analysis of demand response potential in terms of a time-of-use (TOU) pricing without enabling technology program in Thailand scenario is also investigated. Finally, by using the proposed load characterization and load prioritization under the concept of a smart energy management system, the bill savings benefits of a demand responsive program can be proved while the target of energy saving is also achieved.



Energy conservation, energy efficiency, demand responsive management, ZigBee, wireless sensor network, residential sector

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Energy Policy and Planning Office, Ministry of Energy. EPPO Annual Report 2011.Thailand, 2012.

Department of Alternative Energy Development and Efficiency (DEDE), Ministry of Energy. Thailand 20-Year Energy Efficiency Development Plan (2011 - 2030). Thailand, 2011.

Energy Forecast and Information Technology Center, Energy Policy and Planning Office, Ministry of Energy. Energy Statistics of Thailand 2012. Thailand, 2012.

Power System Planning Department. Thailand Power Development Plan 2012 - 2030 (PDP2010: Revision 3), Ministry of Energy. Thailand, 2012.

Provincial Electricity Authority. Monthly Report on the Electricity Consumption Classified by Sector in November 2012. Thailand, 2012.

VJ Martinez and H Rudnick. Design of demand response program in emerging countries. In: Proceedings of the IEEE 2012 Power System Technology, Auckland, 2012, p. 1-6.

A Fazeli, E Christopher, CM Johnson, M Gillott and M Sumner. Investigating the effects of dynamic demand side management within intelligent smart energy communities of future decentralized power system. In: Proceedings of the 2nd IEEE PES International Conference and Exhibition on Innovative Smart Grid Technologies, Manchester, 2011, p. 1-8.

H Asano and N Yamaguchi. Market potential of demand response programs for commercial and industrial customers in Japan. In: Proceedings of the Renewable Energy 2010, Yokohama, Japan, 2010, p. 1-6.

Provincial Electricity Authority, Available at: http://pastpea.pea.co.th/th/loadprofile_t/show, accessed December 2012.

M Eysholdt, U Denecke, M Belasus, C Bley, M Eilers, M Erlmann, C Hinrichs, M Hurrelmann, J Bremer, B Rapp, M Sonnenschein and U Vogel. A tool for modeling and optimization of residential electricity consumption. In: Proceedings of the 22nd International Conference Environmental Informatics, Lueneburg, Germany, 2008, p. 319-26.

A Soares, A Gomes and CH Antunes. Domestic load characterization for demand-responsive energy management systems. In: Proceedings of the IEEE International Symposium on Sustainable Systems and Technology, Boston, 2012, p. 1-6.

G Chicco, R Napoli, P Postolache, M Scutariu and C Toader. Customer characterization options for improving the Tariff offer. IEEE Trans. Power Syst. 2003; 18, 381-7.

PEA Smart Grid, Available at:, accessed December 2012.

RJ Meyers, ED Williams and HS Matthews. Scoping the potential of monitoring and control technologies to reduce energy use in homes. Energy and Buildings 2010; 42, 563-9.

AH Mohsenian-Rad and A Leon-Garcia. Optimal residential load control with price prediction in real-time electricity pricing environments. IEEE Trans. Smart Grid. 2010; 1, 120-33.

GE’ Smart Home and More, Available at: http://www.earthtechling.com/2011/01/ces-2011-ges-smart-home-and-more, accessed August 2012.

JA Gutiérrez, EH Callaway and RL Barrett. Low-Rate Wireless Personal Area Networks: Enabling Wireless Sensors with IEEE 802.15.4. IEEE Press, New York, 2003.

IF Akyildiz, W Su, Y Sankarasubramaniam and E Cayirci. Wireless sensor networks: a survey. Comput. Network. 2002; 38, 393-422.


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Last updated: 17 May 2019