Optimal energy providing strategy of micro-grid's operator based on a game theoretical approach
dc.contributor.author | Khojasteh, Meysam | |
dc.contributor.author | Marzband, Mousa | |
dc.contributor.author | Lightbody, Gordon | |
dc.contributor.author | Dehghan, Shahab | |
dc.contributor.funder | Science Foundation Ireland | en |
dc.contributor.funder | National Science Foundation | en |
dc.date.accessioned | 2018-09-03T11:29:09Z | |
dc.date.available | 2018-09-03T11:29:09Z | |
dc.date.issued | 2018-06 | |
dc.date.updated | 2018-08-02T11:40:54Z | |
dc.description.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 tradeoff 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. | en |
dc.description.sponsorship | Science Foundation Ireland and the National Science Foundation (US-Ireland Research and Development Partnership Program: Grant Number 16/US-C2C/3290) | en |
dc.description.status | Peer reviewed | en |
dc.description.uri | http://codit2018.com/ | en |
dc.description.version | Accepted Version | en |
dc.format.mimetype | application/pdf | en |
dc.identifier.citation | Dehghan, S., Khojasteh, M., Marzband, M. and Lightbody, G. (2018) 'Optimal energy providing strategy of micro-grid's operator based on a game theoretical approach', 5th International Conference on Control, Decision and Information Technologies (CoDIT), Thessaloniki, Greece, 10-13 April. doi:10.1109/CoDIT.2018.8394804 | en |
dc.identifier.doi | 10.1109/CoDIT.2018.8394804 | |
dc.identifier.endpage | 109 | en |
dc.identifier.issn | 2576-3555 | |
dc.identifier.startpage | 104 | en |
dc.identifier.uri | https://hdl.handle.net/10468/6699 | |
dc.language.iso | en | en |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en |
dc.relation.ispartof | 5th International Conference on Control, Decision and Information Technologies (CoDIT) 2018 | |
dc.rights | © 2018, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | en |
dc.subject | Uncertainty | en |
dc.subject | Forward contracts | en |
dc.subject | Robustness | en |
dc.subject | Sensitivity | en |
dc.subject | Procurement | en |
dc.subject | Electronic mail | en |
dc.title | Optimal energy providing strategy of micro-grid's operator based on a game theoretical approach | en |
dc.type | Conference item | en |