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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Autores principales: Hyunyong Lee, Hyunseok Jang, Seung-Hun Oh, Nac-Woo Kim, Seongcheol Kim, Byung-Tak Lee
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Lenguaje:EN
Publicado: IEEE 2021
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Acceso en línea:https://doaj.org/article/c1119f9fae0641d08d9142d036cb20e4
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spelling 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)
institution DOAJ
collection DOAJ
language EN
topic Demand response
residential
customer baseline load
aggregator
incentive-based DR program
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
spellingShingle 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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