A novel multiobjective generation and transmission investment framework for implementing 100% renewable energy sources

Bagheri, Abed; Vahidinasab, Vahid; Mehran, Kamyar

Abstract

Over the last decade, it has been considerable attempts to replace thermal power plants by renewable energy sources (RESs), mainly to reduce harmful gaseous emissions. Ubiquitous nature of these sources in the emerging smart grid,demands a dominated RES power system for a long-term horizon. This study proposed a model for 100% RES-based system which is tractable and flexible enough to be used for any mixture of generation unit types with any level of uncertainty needless of the correlation between their random and unpredictable behaviours. To overcome the complex nature of RESs, an efficient stochastic multi objective mixed-integer linear programming framework is proposed. The efficacy of the proposed model is evaluated via numerical simulation.

• Journal Article Type: Article
• Online Publication Date: Nov 20, 2017
• Publication Date: 2018-01
• Deposit Date: Mar 9, 2025
• Publicly Available Date: Mar 11, 2025
• Journal: IET Generation, Transmission & Distribution
• Print ISSN: 1751-8687
• Electronic ISSN: 1751-8695
• Publisher: Wiley Open Access
• Peer Reviewed: Peer Reviewed
• Volume: 12
• Issue: 2
• Pages: 455-465
• DOI: https://doi.org/10.1049/iet-gtd.2017.0976
• Additional Information: Received: 2017-07-08; Accepted: 2017-08-29; Published: 2017-11-20