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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Main Authors: Qingshan Xu, Yongli Ji, Qifeng Huang, Yehong Sheng
Format: Article
Language:English
Published: Wiley 2018-12-01
Series:IET Smart Grid
Subjects:
ISO
Online Access:https://digital-library.theiet.org/content/journals/10.1049/iet-stg.2018.0003
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spelling 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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