Congestion Management by Allocating Network Use Cost for the Small-Scale DER Aggregator Market in South Korea
Nadya Noorfatima,
Yejin Yang,
Jaesung Jung and
Jun-Sung Kim
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Nadya Noorfatima: Department of Energy Systems Research, Ajou University, Suwon 16499, Korea
Yejin Yang: Department of Energy Systems Research, Ajou University, Suwon 16499, Korea
Jaesung Jung: Department of Energy Systems Research, Ajou University, Suwon 16499, Korea
Jun-Sung Kim: Digital Solution Laboratory, Korea Electric Power Research Institute, Daejeon 34056, Korea
Energies, 2021, vol. 14, issue 12, 1-18
Abstract:
The increasing penetration level of distributed energy resources (DERs) increases the risk of congestion in the distribution network. To mitigate this, the concept of the small-scale DER aggregator was introduced as a change from uncoordinated to coordinated DERs. However, without appropriate network use cost allocation, the unwanted DER curtailment will be enforced by the network operator. Therefore, this paper proposes a new approach for congestion management by allocating the different network usage costs depending on how much congestion is caused by the DERs in the distribution network. For this, a modified Kirschen’s tracing method is proposed and applied to the small-scale DER aggregator market. To verify the effectiveness of the proposed method, a simulation of the small-scale DER aggregator market in South Korea was performed under the IEEE 69-bus distribution network. The model was able to allocate the different network usage costs at different buses and, thus, encouraged the DERs to reduce their generation by charging the energy storage system (ESS) to mitigate congestion. An economic benefit analysis was also performed from the point of view of the aggregator concerning whether they should have an ESS or not.
Keywords: distributed energy resource; aggregator; electricity market; congestion management; network cost allocation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
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