Congestion Management by Allocating Network Use Cost for the Small-Scale DER Aggregator Market in South Korea

Nadya Noorfatima,Yejin Yang,Jun-Sung Kim,Jaesung Jung

doi:10.3390/en14123524

Nadya Noorfatima, Yejin Yang + Show 2 more

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https://doi.org/10.3390/en14123524

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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.

Highlights

A new approach was proposed for congestion management by allocating different network use costs (NUCs) to distributed energy resources (DERs) who participate in the aggregator market
The proposed method could determine the NUC based on the contribution of each DER to congestion
The DER generation consumed by the local load was charged with a cheaper NUC than the DER generator, which supplied the distant load because it might cause a congestion issue represented by a voltage violation

Summary

Introduction

The number of distributed energy resources (DERs) has increased in the last decade. This increasing integration of DERs has the potential to disrupt the stability and reliability of the power system and increase the risk of congestion in the distribution network. A high penetration level of DERs was found to cause an exceeding power flow which yielded congestions and an increase in losses [1]. To mitigate these problems, congestion management was required to manage the electricity supply and demand [2]

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