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A Study on Decision-making Criteria in Industrial Sector for Electric Load Aggregation
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 Title & Authors
A Study on Decision-making Criteria in Industrial Sector for Electric Load Aggregation
Kim, Sung-Yul; Kim, Dong-Min;
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Energy industry is undergoing a paradigm shift in customer participation in the smartgrid. Customers traditionally consume electrical power. But nowadays not only do they generate electricity from private distributed generations, they can participate in demand response programs with their negawatt power which means a theoretical unit of power representing an amount of energy saved. Therefore development of decision-making criteria for electric load aggregation becomes a greater consideration as an amount of energy saved from demand response resources increases. This paper proposes load aggregators' decision-making criteria in the industrial sector where it made up the largest portion in demand response portfolio in order to assure reliability performance for demand response resources.
Demand response;Load aggregator;Industrial load;Potential reduction;Expected reduction;Elasticity;
 Cited by
Jeongmin Cha, Seowoo Lee, Dongmin Kim, Jung-Wook Park, "Analysis of Electricity Consumption Pattern and Optimal Load Planning by Demand Response", KIEE Summer Conference 2015, pp. 205-206, 2015.7

Seong-Cheol Kim, Jong-Jin Park, "Contributions of Large-Industrial Enterprise to Demand-Side Management and Economic Analysis on Diffusion of Energy Efficiency Measures", KIIEE, Vol. 26, No. 2, pp. 18-26, 2012.2

Jong-Jin Park, Hyun-Woong Kim, Jin-O Kim, "A Study on the Participation depending on the Rebate changes in the DSM", KIIEE, Vol. 22, No. 10, pp. 18-23, 2008.10

Lion Hirth, "Market value of solar power: Is photovoltaics cost-competitive?", IET Renewable Power Generation, Vol. 9, Issue 1, pp. 37-45, 2015 crossref(new window)

Seong-Cheol Kim, Ha-Na Song, "A Study on Benefit Sides of Demand Response Customer Baseline with Outdoor Temperature Variable about Load Aggregator", KIIEE, Vol. 28, No. 3, pp. 44-50, 2014.3

"World Energy Market Insight", Korea Energy Economics Institute, Vol. 15, No. 25, 2015.7

"2012 Assessment of Demand Response & Advanced Metering", Federal Energy Reulatory Commission, 2012.12

"Research Report 14-06", Korea Energy Economics Institute, 2015.2

"Electricity Market Operation Regulation", KPX, 2015.10

Hyuk-Jun Yoon, "Demand Resource Market", The Proceedings of the KIEE(World of Electricity), Vol.64, No. 4, pp. 29-33, 2015.4

"An Analysis of the End-User Electric Power Consumption Trends Using the Load Curve", Korea Energy Economics Institute, 2007.3

"The Long-Term Direction of Demand Resource Market", Ministry of Trade, Industry & Energy, 2015.10

"Research Report 13-16", Korea Energy Economics Institute, 2013.11

D. M. Kim, J. O. Kim, "Design of Emergency Demand Response Program Using Analytic Hierarchy Process" IEEE Transactions on Smart Grid, vol. 3, no. 2, pp. 635-644, 2012. crossref(new window)