Novel Single Group-Based Indirect Customer Baseline Load Calculation Method for Residential Demand Response
Demand response (DR) is a voluntary program that encourages related stakeholders, in this case electricity consumers, to cut down on usage during periods of high electricity load. One key to fully exploiting DR is to encourage residential customers to join the DR program. Unlike in the DR programs f...
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2021
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oai:doaj.org-article:c1119f9fae0641d08d9142d036cb20e42021-11-23T00:01:21ZNovel Single Group-Based Indirect Customer Baseline Load Calculation Method for Residential Demand Response2169-353610.1109/ACCESS.2021.3120099https://doaj.org/article/c1119f9fae0641d08d9142d036cb20e42021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9570291/https://doaj.org/toc/2169-3536Demand response (DR) is a voluntary program that encourages related stakeholders, in this case electricity consumers, to cut down on usage during periods of high electricity load. One key to fully exploiting DR is to encourage residential customers to join the DR program. Unlike in the DR programs for commercial and industrial customers, for the successful operation of the residential DR program, several issues have to be addressed, one of which is to provide a group-level incentive to participating customers. In particular, the issue comes up when the incentive calculated for a group is not equal to the aggregated incentives for each customer (i.e., non-equal incentive problem). The non-equal incentive problem deteriorates the successful operation of residential DR by decreasing the motivation of DR operators and customers. We first prove the non-equal incentive problem through mathematical and experimental methods. We then propose the novel single group-based indirect incentive calculation method. The basic idea of our approach is to indirectly calculate the incentive for each customer not using the customer’s data but using the data of other customers of the same DR group. Through experiments involving the electricity usage data of 42,193 households and the real DR events in Korea, we show that our method solves the non-equal incentive problem in most cases. Furthermore, our method improves the accuracy of the baseline estimation (used for calculating the contribution).Hyunyong LeeHyunseok JangSeung-Hun OhNac-Woo KimSeongcheol KimByung-Tak LeeIEEEarticleDemand responseresidentialcustomer baseline loadaggregatorincentive-based DR programElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 140881-140895 (2021) |
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Demand response residential customer baseline load aggregator incentive-based DR program Electrical engineering. Electronics. Nuclear engineering TK1-9971 |
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Demand response residential customer baseline load aggregator incentive-based DR program Electrical engineering. Electronics. Nuclear engineering TK1-9971 Hyunyong Lee Hyunseok Jang Seung-Hun Oh Nac-Woo Kim Seongcheol Kim Byung-Tak Lee Novel Single Group-Based Indirect Customer Baseline Load Calculation Method for Residential Demand Response |
description |
Demand response (DR) is a voluntary program that encourages related stakeholders, in this case electricity consumers, to cut down on usage during periods of high electricity load. One key to fully exploiting DR is to encourage residential customers to join the DR program. Unlike in the DR programs for commercial and industrial customers, for the successful operation of the residential DR program, several issues have to be addressed, one of which is to provide a group-level incentive to participating customers. In particular, the issue comes up when the incentive calculated for a group is not equal to the aggregated incentives for each customer (i.e., non-equal incentive problem). The non-equal incentive problem deteriorates the successful operation of residential DR by decreasing the motivation of DR operators and customers. We first prove the non-equal incentive problem through mathematical and experimental methods. We then propose the novel single group-based indirect incentive calculation method. The basic idea of our approach is to indirectly calculate the incentive for each customer not using the customer’s data but using the data of other customers of the same DR group. Through experiments involving the electricity usage data of 42,193 households and the real DR events in Korea, we show that our method solves the non-equal incentive problem in most cases. Furthermore, our method improves the accuracy of the baseline estimation (used for calculating the contribution). |
format |
article |
author |
Hyunyong Lee Hyunseok Jang Seung-Hun Oh Nac-Woo Kim Seongcheol Kim Byung-Tak Lee |
author_facet |
Hyunyong Lee Hyunseok Jang Seung-Hun Oh Nac-Woo Kim Seongcheol Kim Byung-Tak Lee |
author_sort |
Hyunyong Lee |
title |
Novel Single Group-Based Indirect Customer Baseline Load Calculation Method for Residential Demand Response |
title_short |
Novel Single Group-Based Indirect Customer Baseline Load Calculation Method for Residential Demand Response |
title_full |
Novel Single Group-Based Indirect Customer Baseline Load Calculation Method for Residential Demand Response |
title_fullStr |
Novel Single Group-Based Indirect Customer Baseline Load Calculation Method for Residential Demand Response |
title_full_unstemmed |
Novel Single Group-Based Indirect Customer Baseline Load Calculation Method for Residential Demand Response |
title_sort |
novel single group-based indirect customer baseline load calculation method for residential demand response |
publisher |
IEEE |
publishDate |
2021 |
url |
https://doaj.org/article/c1119f9fae0641d08d9142d036cb20e4 |
work_keys_str_mv |
AT hyunyonglee novelsinglegroupbasedindirectcustomerbaselineloadcalculationmethodforresidentialdemandresponse AT hyunseokjang novelsinglegroupbasedindirectcustomerbaselineloadcalculationmethodforresidentialdemandresponse AT seunghunoh novelsinglegroupbasedindirectcustomerbaselineloadcalculationmethodforresidentialdemandresponse AT nacwookim novelsinglegroupbasedindirectcustomerbaselineloadcalculationmethodforresidentialdemandresponse AT seongcheolkim novelsinglegroupbasedindirectcustomerbaselineloadcalculationmethodforresidentialdemandresponse AT byungtaklee novelsinglegroupbasedindirectcustomerbaselineloadcalculationmethodforresidentialdemandresponse |
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1718417400971395072 |