Three-stage day-ahead scheduling strategy for regional thermostatically controlled load aggregators
Abstract Thermostatically controlled loads (TCLs) are regarded as having potential to participate in power grid regulation. This paper proposes a scheduling strategy with three-stage optimization for regional aggregators jointly participating in day-ahead scheduling to support demand response. The f...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2023-05-01
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| Series: | Protection and Control of Modern Power Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s41601-023-00295-w |
| _version_ | 1797827416089952256 |
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| author | Dejin Fan Shu Zhang He Huang Liping Zhou Yang Wang Xianyong Xiao |
| author_facet | Dejin Fan Shu Zhang He Huang Liping Zhou Yang Wang Xianyong Xiao |
| author_sort | Dejin Fan |
| collection | DOAJ |
| description | Abstract Thermostatically controlled loads (TCLs) are regarded as having potential to participate in power grid regulation. This paper proposes a scheduling strategy with three-stage optimization for regional aggregators jointly participating in day-ahead scheduling to support demand response. The first stage is on the profit of aggregators and peak load of the grid. The line loss and voltage deviation of regulation are considered to ensure stable operation of the power grid at the second stage, which guarantees the fairness of the regulation and the comfort of users. A single temperature adjustment strategy is used to control TCLs to maximize the response potential in the third stage. Finally, digital simulation based on the IEEE 33-bus distribution network system proves that the proposed three-stage scheduling strategy can keep the voltage deviation within ± 5% in different situations. In addition, the Gini coefficient of distribution increases by 20% and the predicted percentage of dissatisfied is 48% lower than those without distribution. |
| first_indexed | 2024-04-09T12:49:02Z |
| format | Article |
| id | doaj.art-014142d63e9647a2a55684db8f75234d |
| institution | Directory Open Access Journal |
| issn | 2367-2617 2367-0983 |
| language | English |
| last_indexed | 2024-04-09T12:49:02Z |
| publishDate | 2023-05-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Protection and Control of Modern Power Systems |
| spelling | doaj.art-014142d63e9647a2a55684db8f75234d2023-05-14T11:20:01ZengSpringerOpenProtection and Control of Modern Power Systems2367-26172367-09832023-05-018111110.1186/s41601-023-00295-wThree-stage day-ahead scheduling strategy for regional thermostatically controlled load aggregatorsDejin Fan0Shu Zhang1He Huang2Liping Zhou3Yang Wang4Xianyong Xiao5College of Electricial Engineering, Sichuan UniversityCollege of Electricial Engineering, Sichuan UniversityCollege of Electricial Engineering, Sichuan UniversityCollege of Electricial Engineering, Sichuan UniversityCollege of Electricial Engineering, Sichuan UniversityCollege of Electricial Engineering, Sichuan UniversityAbstract Thermostatically controlled loads (TCLs) are regarded as having potential to participate in power grid regulation. This paper proposes a scheduling strategy with three-stage optimization for regional aggregators jointly participating in day-ahead scheduling to support demand response. The first stage is on the profit of aggregators and peak load of the grid. The line loss and voltage deviation of regulation are considered to ensure stable operation of the power grid at the second stage, which guarantees the fairness of the regulation and the comfort of users. A single temperature adjustment strategy is used to control TCLs to maximize the response potential in the third stage. Finally, digital simulation based on the IEEE 33-bus distribution network system proves that the proposed three-stage scheduling strategy can keep the voltage deviation within ± 5% in different situations. In addition, the Gini coefficient of distribution increases by 20% and the predicted percentage of dissatisfied is 48% lower than those without distribution.https://doi.org/10.1186/s41601-023-00295-wDemand responseThermostatically controlled loadsThree-stages scheduling strategyRegional aggregatorsPPDGini coefficient |
| spellingShingle | Dejin Fan Shu Zhang He Huang Liping Zhou Yang Wang Xianyong Xiao Three-stage day-ahead scheduling strategy for regional thermostatically controlled load aggregators Protection and Control of Modern Power Systems Demand response Thermostatically controlled loads Three-stages scheduling strategy Regional aggregators PPD Gini coefficient |
| title | Three-stage day-ahead scheduling strategy for regional thermostatically controlled load aggregators |
| title_full | Three-stage day-ahead scheduling strategy for regional thermostatically controlled load aggregators |
| title_fullStr | Three-stage day-ahead scheduling strategy for regional thermostatically controlled load aggregators |
| title_full_unstemmed | Three-stage day-ahead scheduling strategy for regional thermostatically controlled load aggregators |
| title_short | Three-stage day-ahead scheduling strategy for regional thermostatically controlled load aggregators |
| title_sort | three stage day ahead scheduling strategy for regional thermostatically controlled load aggregators |
| topic | Demand response Thermostatically controlled loads Three-stages scheduling strategy Regional aggregators PPD Gini coefficient |
| url | https://doi.org/10.1186/s41601-023-00295-w |
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