Optimal Energy Providing Strategy of Micro-Grid’s Operator Based on a Game Theoretical Approach

Shahab Dehghan, Meysam Khojasteh, Mousa Marzband, Gordon Lightbody

Research output: Contribution to conferencePaperpeer-review

2 Citations (Scopus)
5 Downloads (Pure)

Abstract

Operators of micro-grid as privately-owned sectors try to optimally determine their energy supply strategy aiming at maximizing their profits. Smart grid infrastructures enable residential consumers to modify their electricity consumption in response to energy prices. Clearly, increasing energy tariffs have positive impacts on the operator’s profit. Additionally, sensitivity of consumption to selling prices leads to demand reduction by increasing energy tariffs. Therefore, operators of micro-grids retain a trade off between energy tariffs and demand. This paper presents a game theoretical approach for operators of micro-grids to supply the required energy of price-sensitive clients. Additionally, the information gap decision theory (IGDT) is used to handle the financial risk arising from the uncertain wholesale prices. Simulation results justify the performance of the proposed approach.
Original languageEnglish
Pages104-109
Number of pages6
DOIs
Publication statusPublished - 25 Jun 2018
Event5th International Conference on Control, Decision and Information Technologies - Aristotle University of Thessaloniki, Thessaloniki, Greece
Duration: 10 Apr 201813 Apr 2018
http://codit2018.com/index.php

Conference

Conference5th International Conference on Control, Decision and Information Technologies
Abbreviated titleCoDIT'18
CountryGreece
CityThessaloniki
Period10/04/1813/04/18
Internet address

Fingerprint Dive into the research topics of 'Optimal Energy Providing Strategy of Micro-Grid’s Operator Based on a Game Theoretical Approach'. Together they form a unique fingerprint.

Cite this