NDLI: Coordination of wind generation and demand response to minimise operation cost in day-ahead electricity markets using bi-level optimisation framework

Content Provider	IET Digital Library
Author	Mohammad, Nur Mishra, Yateendra
Abstract	Demand response (DR) can play an important role when dealing with the increasing variability of renewables in power system. This study proposes a bi-level market model for wind-integrated electricity market, where the DR requirement is paired with the wind profile to deal with wind variability. At the upper level, an electricity market operator aims to minimise the day-ahead operation cost considering plausible wind generation scenarios. At the lower level, the DR exchange operator aims to maximise social welfare by trading aggregated DR among several aggregators. The solution at this level determines the optimal DR amount and price setting for each aggregator. The DR from the flexible loads is modelled from the end-users' perspective considering their willingness parameter. The market model is formulated as a bi-level optimisation problem using Lagrangian relaxation with Karush–Kuhn–Tucker optimality conditions. The effectiveness of the proposed scheme is demonstrated on sample 4-bus and IEEE 24-bus systems. Different scenarios such as high, medium and low levels of wind and DR are investigated. The high-wind low-DR scenario leads to minimum operation cost and is least inconvenient for end users as it sets the DR at a minimum level while keeping the higher levels of wind generation.
Starting Page	3793
Ending Page	3802
Page Count	10
ISSN	17518687
Volume Number	12
e-ISSN	17518695
Issue Number	Issue 16, Sep (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/12/16
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2018.0110
Journal	IET Generation, Transmission & Distribution
Publisher Date	2018-06-20
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Associated Karush-Kuhn-Tucker Optimality Condition Bilevel Market Model Bilevel Optimisation Framework Complementarity Constraint Day-ahead Electricity Markets Day-ahead Operation Cost Minimisation Demand Response Demand Side Management DR Exchange Operator DR Requirement DR-capable Loads Electricity Market Operator Lagrangian Relaxation Mathematical Programming Mathematical Programming Problem Minimisation Monetary Benefit Maximisation Optimisation Technique Plausible Wind Generation Scenario Power Generation Economics Power Generation Scheduling Power Market Power System Power System Economics Power System Managemen Power System Operation Social Welfare Maximisation Wind Generation Wind Power Plant Wind Profile Wind Variability Wind-integrated Electricity Market
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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