Open AccessBi‐level optimiseddispatch strategy of electric supply–demand balance considering risk–benefit coordination
Author(s) -
Xu Qingshan,
Ji Yongli,
Huang Qifeng,
Sheng Yehong
Publication year - 2018
Publication title -
iet smart grid
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.612
H-Index - 11
ISSN - 2515-2947
DOI - 10.1049/iet-stg.2018.0003
Subject(s) - bidding , news aggregator , smart grid , supply and demand , profit (economics) , demand response , computer science , operations research , balance (ability) , unification , environmental economics , risk analysis (engineering) , business , microeconomics , electricity , economics , engineering , programming language , medicine , electrical engineering , physical medicine and rehabilitation , operating system
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.