A Survey on Direct Load Control Technologies in the Smart Grid
The purpose of this paper is to review the scientific literature on direct load control (DLC) technology in the context of a smart grid (SG). This study synthesized and compared various articles from the literature with the aim of conducting a comprehensive analysis. This study aims to provide a det...
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10380576/ |
| _version_ | 1797201340597796864 |
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| author | Emre Ozkop |
| author_facet | Emre Ozkop |
| author_sort | Emre Ozkop |
| collection | DOAJ |
| description | The purpose of this paper is to review the scientific literature on direct load control (DLC) technology in the context of a smart grid (SG). This study synthesized and compared various articles from the literature with the aim of conducting a comprehensive analysis. This study aims to provide a detailed understanding of the landscape, recent advancements, and the relationships among various aspects within this field. The evaluation is conducted through a systematic literature review, examining recent advancements in the field. A survey of over 200 papers published between 1983 and 2022 is classified based on appliance information, aim/objective, constraint, management method and tool, implementation, and publication status. In the DLC application, the study identifies the type and population of appliances used in and the aim/objective and constraint considered. It also determines whether forecast, prediction, and estimation structures, optimization and control algorithms, and specific structures are employed. The practical aspect of the study examines various perspectives, including the modeling and presentation of the research. This involves identifying the validation methods, time period for implementation, solver, program, software, toolbox, and platform structures used during validation. Additionally, the characteristics of the database used for implementation and the location of the implementation are detailed. The publication year and the countries of the authors are also provided. Comparative relationships between these elements are presented based on the aforementioned information. |
| first_indexed | 2024-03-08T14:39:56Z |
| format | Article |
| id | doaj.art-a12a10e6cad347cb83122bb694ad2eb1 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-24T07:45:59Z |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-a12a10e6cad347cb83122bb694ad2eb12024-04-18T23:00:20ZengIEEEIEEE Access2169-35362024-01-01124997505310.1109/ACCESS.2024.334996510380576A Survey on Direct Load Control Technologies in the Smart GridEmre Ozkop0https://orcid.org/0000-0002-9395-9899Department of Electrical and Electronics Engineering, Karadeniz Technical University (KTU), Trabzon, TurkeyThe purpose of this paper is to review the scientific literature on direct load control (DLC) technology in the context of a smart grid (SG). This study synthesized and compared various articles from the literature with the aim of conducting a comprehensive analysis. This study aims to provide a detailed understanding of the landscape, recent advancements, and the relationships among various aspects within this field. The evaluation is conducted through a systematic literature review, examining recent advancements in the field. A survey of over 200 papers published between 1983 and 2022 is classified based on appliance information, aim/objective, constraint, management method and tool, implementation, and publication status. In the DLC application, the study identifies the type and population of appliances used in and the aim/objective and constraint considered. It also determines whether forecast, prediction, and estimation structures, optimization and control algorithms, and specific structures are employed. The practical aspect of the study examines various perspectives, including the modeling and presentation of the research. This involves identifying the validation methods, time period for implementation, solver, program, software, toolbox, and platform structures used during validation. Additionally, the characteristics of the database used for implementation and the location of the implementation are detailed. The publication year and the countries of the authors are also provided. Comparative relationships between these elements are presented based on the aforementioned information.https://ieeexplore.ieee.org/document/10380576/Demand responsedirect load controlestimationforecastoptimizationsmart grid |
| spellingShingle | Emre Ozkop A Survey on Direct Load Control Technologies in the Smart Grid IEEE Access Demand response direct load control estimation forecast optimization smart grid |
| title | A Survey on Direct Load Control Technologies in the Smart Grid |
| title_full | A Survey on Direct Load Control Technologies in the Smart Grid |
| title_fullStr | A Survey on Direct Load Control Technologies in the Smart Grid |
| title_full_unstemmed | A Survey on Direct Load Control Technologies in the Smart Grid |
| title_short | A Survey on Direct Load Control Technologies in the Smart Grid |
| title_sort | survey on direct load control technologies in the smart grid |
| topic | Demand response direct load control estimation forecast optimization smart grid |
| url | https://ieeexplore.ieee.org/document/10380576/ |
| work_keys_str_mv | AT emreozkop asurveyondirectloadcontroltechnologiesinthesmartgrid AT emreozkop surveyondirectloadcontroltechnologiesinthesmartgrid |