Demand-Response-Oriented Load Aggregation Scheduling Optimization Strategy for Inverter Air Conditioner
In recent years, the peak–valley differences in urban power loads have been increasing. It is difficult to maintain the real-time balance of a power system by relying solely on the generation-side resources. As a typical flexible load, an air conditioning load can balance the supply and demand of a...
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MDPI AG
2022-12-01
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Series: | Energies |
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Online Access: | https://www.mdpi.com/1996-1073/16/1/337 |
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author | Qifen Li Yihan Zhao Yongwen Yang Liting Zhang Chen Ju |
author_facet | Qifen Li Yihan Zhao Yongwen Yang Liting Zhang Chen Ju |
author_sort | Qifen Li |
collection | DOAJ |
description | In recent years, the peak–valley differences in urban power loads have been increasing. It is difficult to maintain the real-time balance of a power system by relying solely on the generation-side resources. As a typical flexible load, an air conditioning load can balance the supply and demand of a power grid by adjusting power using the thermal inertia of buildings. From the perspective of a load aggregator, this study models and aggregates the dispatch of a single inverter air conditioner distributed in a region to determine the adjustment potential of an air conditioning cluster. Then, according to the demand response capacity requirements, an optimal strategy for the aggregate dispatch of an inverter air conditioner considering incentive compensation measures is proposed with the objective of maximizing the load quotient economic benefit. The sensitivity analysis of the compensation factor for temperature rise is also performed. The results show that 3000 inverter air conditioners in the load quotient dispatch area participate in the demand response for 4 h, with a load reduction of 1.267 MW and a net income of RMB 14,435.97. Secondly, an increase in the temperature rise compensation factor will reduce the cost of temperature rise compensation by the loader to the user, but it will also reduce the load reduction and the net income of the loader. This study has practical significance for load aggregators to formulate compensation strategies and improve the economic benefits of participating in demand response. |
first_indexed | 2024-03-11T10:03:13Z |
format | Article |
id | doaj.art-b9c102fc37c94c5aa06a0ed3998713fb |
institution | Directory Open Access Journal |
issn | 1996-1073 |
language | English |
last_indexed | 2024-03-11T10:03:13Z |
publishDate | 2022-12-01 |
publisher | MDPI AG |
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series | Energies |
spelling | doaj.art-b9c102fc37c94c5aa06a0ed3998713fb2023-11-16T15:17:49ZengMDPI AGEnergies1996-10732022-12-0116133710.3390/en16010337Demand-Response-Oriented Load Aggregation Scheduling Optimization Strategy for Inverter Air ConditionerQifen Li0Yihan Zhao1Yongwen Yang2Liting Zhang3Chen Ju4College of Energy and Mechanical Engineering, Shanghai University of Electric Power, Shanghai 200090, ChinaCollege of Energy and Mechanical Engineering, Shanghai University of Electric Power, Shanghai 200090, ChinaCollege of Energy and Mechanical Engineering, Shanghai University of Electric Power, Shanghai 200090, ChinaCollege of Energy and Mechanical Engineering, Shanghai University of Electric Power, Shanghai 200090, ChinaShanghai Electric Apparatus Research Institute, Shanghai 200063, ChinaIn recent years, the peak–valley differences in urban power loads have been increasing. It is difficult to maintain the real-time balance of a power system by relying solely on the generation-side resources. As a typical flexible load, an air conditioning load can balance the supply and demand of a power grid by adjusting power using the thermal inertia of buildings. From the perspective of a load aggregator, this study models and aggregates the dispatch of a single inverter air conditioner distributed in a region to determine the adjustment potential of an air conditioning cluster. Then, according to the demand response capacity requirements, an optimal strategy for the aggregate dispatch of an inverter air conditioner considering incentive compensation measures is proposed with the objective of maximizing the load quotient economic benefit. The sensitivity analysis of the compensation factor for temperature rise is also performed. The results show that 3000 inverter air conditioners in the load quotient dispatch area participate in the demand response for 4 h, with a load reduction of 1.267 MW and a net income of RMB 14,435.97. Secondly, an increase in the temperature rise compensation factor will reduce the cost of temperature rise compensation by the loader to the user, but it will also reduce the load reduction and the net income of the loader. This study has practical significance for load aggregators to formulate compensation strategies and improve the economic benefits of participating in demand response.https://www.mdpi.com/1996-1073/16/1/337demand responseinverter air conditionerregulatory potentialload control aggregation modelair conditioning loadcontrol strategy |
spellingShingle | Qifen Li Yihan Zhao Yongwen Yang Liting Zhang Chen Ju Demand-Response-Oriented Load Aggregation Scheduling Optimization Strategy for Inverter Air Conditioner Energies demand response inverter air conditioner regulatory potential load control aggregation model air conditioning load control strategy |
title | Demand-Response-Oriented Load Aggregation Scheduling Optimization Strategy for Inverter Air Conditioner |
title_full | Demand-Response-Oriented Load Aggregation Scheduling Optimization Strategy for Inverter Air Conditioner |
title_fullStr | Demand-Response-Oriented Load Aggregation Scheduling Optimization Strategy for Inverter Air Conditioner |
title_full_unstemmed | Demand-Response-Oriented Load Aggregation Scheduling Optimization Strategy for Inverter Air Conditioner |
title_short | Demand-Response-Oriented Load Aggregation Scheduling Optimization Strategy for Inverter Air Conditioner |
title_sort | demand response oriented load aggregation scheduling optimization strategy for inverter air conditioner |
topic | demand response inverter air conditioner regulatory potential load control aggregation model air conditioning load control strategy |
url | https://www.mdpi.com/1996-1073/16/1/337 |
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