A bang‐bang control based water‐loop heat pump load aggregation method for power levelling dispatch

Abstract In this article, a bang‐bang control based water‐loop heat pump (WLHP) load aggregation method is proposed to facilitate its attending demand response service for the purpose of power levelling dispatch. A WLHP aggregation model is first established to determine its power limit, in which a...

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Main Authors: Chaoran Si, Zhen Wang, Ping Ju, Hao Wu
Format: Article
Language:English
Published: Wiley 2021-06-01
Series:IET Smart Grid
Online Access:https://doi.org/10.1049/stg2.12031
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spelling doaj-f6243fb1f50c4df792414b9ae3a793732021-05-17T11:27:02ZengWileyIET Smart Grid2515-29472021-06-014332133310.1049/stg2.12031A bang‐bang control based water‐loop heat pump load aggregation method for power levelling dispatchChaoran Si0Zhen Wang1Ping Ju2Hao Wu3College of Electrical Engineering Zhejiang University Hangzhou ChinaCollege of Electrical Engineering Zhejiang University Hangzhou ChinaCollege of Electrical Engineering Zhejiang University Hangzhou ChinaCollege of Electrical Engineering Zhejiang University Hangzhou ChinaAbstract In this article, a bang‐bang control based water‐loop heat pump (WLHP) load aggregation method is proposed to facilitate its attending demand response service for the purpose of power levelling dispatch. A WLHP aggregation model is first established to determine its power limit, in which a priority list based on the state of temperature (SOT) index for each heat pump unit (HPU) is developed to measure the HPU's power regulation capability. Users' comfort is also well guaranteed by introducing a forced switching rule in the model. The proposed model is then applied for a power levelling dispatch problem with WLHP load and a bi‐section based bang‐bang control algorithm is developed to determine HPUs' ON/OFF states. A microgrid test system including wind and solar generation, WLHP load and a battery storage is used to validate the effectiveness of the proposed method. To further test its robustness, an influence analysis of initial operating conditions such as input power profiles and initial ON/OFF states as well as multiple operating‐condition simulations are both conducted.https://doi.org/10.1049/stg2.12031
collection DOAJ
language English
format Article
sources DOAJ
author Chaoran Si
Zhen Wang
Ping Ju
Hao Wu
spellingShingle Chaoran Si
Zhen Wang
Ping Ju
Hao Wu
A bang‐bang control based water‐loop heat pump load aggregation method for power levelling dispatch
IET Smart Grid
author_facet Chaoran Si
Zhen Wang
Ping Ju
Hao Wu
author_sort Chaoran Si
title A bang‐bang control based water‐loop heat pump load aggregation method for power levelling dispatch
title_short A bang‐bang control based water‐loop heat pump load aggregation method for power levelling dispatch
title_full A bang‐bang control based water‐loop heat pump load aggregation method for power levelling dispatch
title_fullStr A bang‐bang control based water‐loop heat pump load aggregation method for power levelling dispatch
title_full_unstemmed A bang‐bang control based water‐loop heat pump load aggregation method for power levelling dispatch
title_sort bang‐bang control based water‐loop heat pump load aggregation method for power levelling dispatch
publisher Wiley
series IET Smart Grid
issn 2515-2947
publishDate 2021-06-01
description Abstract In this article, a bang‐bang control based water‐loop heat pump (WLHP) load aggregation method is proposed to facilitate its attending demand response service for the purpose of power levelling dispatch. A WLHP aggregation model is first established to determine its power limit, in which a priority list based on the state of temperature (SOT) index for each heat pump unit (HPU) is developed to measure the HPU's power regulation capability. Users' comfort is also well guaranteed by introducing a forced switching rule in the model. The proposed model is then applied for a power levelling dispatch problem with WLHP load and a bi‐section based bang‐bang control algorithm is developed to determine HPUs' ON/OFF states. A microgrid test system including wind and solar generation, WLHP load and a battery storage is used to validate the effectiveness of the proposed method. To further test its robustness, an influence analysis of initial operating conditions such as input power profiles and initial ON/OFF states as well as multiple operating‐condition simulations are both conducted.
url https://doi.org/10.1049/stg2.12031
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