| Title |
A Study on Decision-making Criteria in Industrial Sector for Electric Load Aggregation |
| Authors |
김성열(Kim, Sung-Yul) ; 김동민(Kim, Dong-Min) |
| DOI |
https://doi.org/10.5370/KIEE.2016.65.6.946 |
| Keywords |
Demand response ; Load aggregator ; Industrial load ; Potential reduction ; Expected reduction ; Elasticity |
| Abstract |
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. |