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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Main Authors: Qifen Li, Yihan Zhao, Yongwen Yang, Liting Zhang, Chen Ju
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Energies
Subjects:
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.
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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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AT yihanzhao demandresponseorientedloadaggregationschedulingoptimizationstrategyforinverterairconditioner
AT yongwenyang demandresponseorientedloadaggregationschedulingoptimizationstrategyforinverterairconditioner
AT litingzhang demandresponseorientedloadaggregationschedulingoptimizationstrategyforinverterairconditioner
AT chenju demandresponseorientedloadaggregationschedulingoptimizationstrategyforinverterairconditioner