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

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 st...

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Veröffentlicht in:IET generation, transmission & distribution Jg. 12; H. 2; S. 455 - 465
Hauptverfasser: Bagheri, Abed, Vahidinasab, Vahid, Mehran, Kamyar
Format: Journal Article
Sprache:Englisch
Veröffentlicht: The Institution of Engineering and Technology 30.01.2018
Schlagworte:
dominated RES power system
generation unit types
harmful gaseous emission reduction
integer programming
investment
linear programming
novel multiobjective generation investment framework
novel multiobjective transmission investment framework
power generation economics
power transmission economics
renewable energy sources
Research Article
RES‐based system
smart grid
smart power grids
stochastic multiobjective mixed‐integer linear programming framework
stochastic programming
uncertainty level
smart grid
renewable energy sources
novel multiobjective transmission investment framework
integer programming
RES-based system
harmful gaseous emission reduction
stochastic programming
smart power grids
investment
linear programming
power transmission economics
generation unit types
dominated RES power system
novel multiobjective generation investment framework
power generation economics
stochastic multiobjective mixed-integer linear programming framework
uncertainty level
ISSN:1751-8687, 1751-8695
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Beschreibung
Zusammenfassung: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.
ISSN:1751-8687
1751-8695
DOI:10.1049/iet-gtd.2017.0976