Bi-level optimised
With the development of smart grid and electricity market, schedulable resources of demand-side attract great concern. To implement the balance between power supply and demand by utilising demand-side schedulable resources, a bi-level system is established and a bi-level programming between independ...
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Online Access: | https://digital-library.theiet.org/content/journals/10.1049/iet-stg.2018.0003 |
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doaj-bd82c5b324b84c21b439aa93ed9f420d2021-04-02T15:56:48ZengWileyIET Smart Grid2515-29472018-12-0110.1049/iet-stg.2018.0003IET-STG.2018.0003Bi-level optimisedQingshan Xu0Yongli Ji1Qifeng Huang2Yehong Sheng3Southeast UniversitySoutheast UniversityState Grid Jiangsu Electric Power CompanySoutheast UniversityWith the development of smart grid and electricity market, schedulable resources of demand-side attract great concern. To implement the balance between power supply and demand by utilising demand-side schedulable resources, a bi-level system is established and a bi-level programming between independent system operator (ISO) and load aggregator (LA) is proposed in this study. LA in the lower level integrates decentralised schedulable resources and makes bidding plans by adopting the improved step-wise bidding method in view of its risk attitudes, realising the unification of low risk and high profit. ISO in the upper level introduces the chance-constrained programming method to make risk–benefit coordinated decisions considering uncertainties on the basic of bidding information and power supply–demand prediction. The simulation analyses show that the proposed bi-level optimised strategy is effective for obtaining satisfactory decision schemes based on decision makers’ risk preferences.https://digital-library.theiet.org/content/journals/10.1049/iet-stg.2018.0003optimisationpower generation economicsdemand side managementsmart power gridsdecision makingpower marketspower generation dispatchlevel optimised dispatch strategyelectric supply–demand balancerisk–benefit coordinationsmart gridelectricity marketschedulable resourcesgreat concernpower supplybi-level systembi-level programmingISOload aggregatorbidding plansimproved step-wise bidding methodrisk attitudesupper levelchance-constrained programming methodbi-level optimised strategydecision makersdecentralised schedulable resources |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Qingshan Xu Yongli Ji Qifeng Huang Yehong Sheng |
spellingShingle |
Qingshan Xu Yongli Ji Qifeng Huang Yehong Sheng Bi-level optimised IET Smart Grid optimisation power generation economics demand side management smart power grids decision making power markets power generation dispatch level optimised dispatch strategy electric supply–demand balance risk–benefit coordination smart grid electricity market schedulable resources great concern power supply bi-level system bi-level programming ISO load aggregator bidding plans improved step-wise bidding method risk attitudes upper level chance-constrained programming method bi-level optimised strategy decision makers decentralised schedulable resources |
author_facet |
Qingshan Xu Yongli Ji Qifeng Huang Yehong Sheng |
author_sort |
Qingshan Xu |
title |
Bi-level optimised |
title_short |
Bi-level optimised |
title_full |
Bi-level optimised |
title_fullStr |
Bi-level optimised |
title_full_unstemmed |
Bi-level optimised |
title_sort |
bi-level optimised |
publisher |
Wiley |
series |
IET Smart Grid |
issn |
2515-2947 |
publishDate |
2018-12-01 |
description |
With the development of smart grid and electricity market, schedulable resources of demand-side attract great concern. To implement the balance between power supply and demand by utilising demand-side schedulable resources, a bi-level system is established and a bi-level programming between independent system operator (ISO) and load aggregator (LA) is proposed in this study. LA in the lower level integrates decentralised schedulable resources and makes bidding plans by adopting the improved step-wise bidding method in view of its risk attitudes, realising the unification of low risk and high profit. ISO in the upper level introduces the chance-constrained programming method to make risk–benefit coordinated decisions considering uncertainties on the basic of bidding information and power supply–demand prediction. The simulation analyses show that the proposed bi-level optimised strategy is effective for obtaining satisfactory decision schemes based on decision makers’ risk preferences. |
topic |
optimisation power generation economics demand side management smart power grids decision making power markets power generation dispatch level optimised dispatch strategy electric supply–demand balance risk–benefit coordination smart grid electricity market schedulable resources great concern power supply bi-level system bi-level programming ISO load aggregator bidding plans improved step-wise bidding method risk attitudes upper level chance-constrained programming method bi-level optimised strategy decision makers decentralised schedulable resources |
url |
https://digital-library.theiet.org/content/journals/10.1049/iet-stg.2018.0003 |
work_keys_str_mv |
AT qingshanxu bileveloptimised AT yongliji bileveloptimised AT qifenghuang bileveloptimised AT yehongsheng bileveloptimised |
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1721558642075893760 |