A novel multiobjective generation and transmission investment framework for implementing 100% renewable energy sources. Issue 2 (20th November 2017)

• Record Type: Journal Article
• Authors: Bagheri, Abed; Vahidinasab, Vahid; Mehran, Kamyar
• Is Part Of: IET generation, transmission & distribution. Volume 12:Issue 2(2018)
• Page Start: 455
• Page End: 465
• Publication Date: 2017-11-20
• Subjects: power generation economics -- power transmission economics -- investment -- renewable energy sources -- smart power grids -- stochastic programming -- integer programming -- linear programming; novel multiobjective generation investment framework -- novel multiobjective transmission investment framework -- renewable energy sources -- RES‐based system -- harmful gaseous emission reduction -- smart grid -- dominated RES power system -- generation unit types -- uncertainty level -- stochastic multiobjective mixed‐integer linear programming framework; Electric power production -- Periodicals; Electric power transmission -- Periodicals; Electric power distribution -- Periodicals; 621.3105
• DOI: 10.1049/iet-gtd.2017.0976
• Languages: English
• ISSNs: 1751-8687

Abstract

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 multiobjective mixed‐integer linear programming framework is proposed. The efficacy of the proposed model is evaluated via numerical simulation.