Open AccessBi‐level two‐stage stochastic SCUC for ISO day‐ahead scheduling considering uncertain wind power and demand response
Author(s) -
Gong Naiwei,
Luo Xianjue,
Chen Danyang
Publication year - 2017
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2017.0787
Subject(s) - wind power , power system simulation , operations research , computer science , demand response , scheduling (production processes) , economic dispatch , mathematical optimization , volatility (finance) , incentive , reliability engineering , electric power system , power (physics) , economics , econometrics , microeconomics , engineering , mathematics , electricity , physics , quantum mechanics , electrical engineering
This study considers ISO day‐ahead (DA) scheduling under uncertain conditions with demand response (DR). Two kinds of DR, incentive‐based DR (IDR) and price‐based DR (PDR) are both incorporated according to their response characteristics. A bi‐level two‐stage stochastic security‐constrained unit commitment (SCUC) model is proposed for this programme to minimise the ISO cost considering uncertain wind power output and uncertain price elasticity. The upper level is a two‐stage stochastic programme. The first stage determines unit commitment and contract capacity of IDR programme while the second stage determines economic dispatch, wind power utilisation and actual dispatch power of IDR programme in the real‐time (RT). A chance‐constraint is used to ensure wind power utilisation. In the lower level, a priority method is used to select successful bidders based on the calculated contract capacity from the upper level. Results on the revised IEEE 118‐bus system show that, the ISO would avoid frequent rescheduling and economic loss with uncertain PDR incorporated into the model. Besides, with IDR flexibly mitigating uncertainty and volatility from wind power and PDR, the ISO would have lower cost and avoid frequent rescheduling of thermal units. Also, this model could ensure wind power utilisation, thus promoting wind power integration.