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

Content Provider	IET Digital Library
Author	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 multiobjective mixed-integer linear programming framework is proposed. The efficacy of the proposed model is evaluated via numerical simulation.
Starting Page	455
Ending Page	465
Page Count	11
ISSN	17518687
Volume Number	12
e-ISSN	17518695
Issue Number	Issue 2, Jan (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/12/2
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2017.0976
Journal	IET Generation, Transmission & Distribution
Publisher	The Institution of Engineering and Technology
Publisher Date	2017-09-13
Access Restriction	Open
Rights License	Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)
Subject Keyword	Dominated RES Power System Energy ReSource Generation Unit Types Harmful Gaseous Emission Reduction Integer Programming Investment Linear Programming Novel Multiobjective Generation Investment Framework Novel Multiobjective Transmission Investment Framework Optimisation Technique Power Generation Economics Power System Economics Power System Managemen Power System Operation Power Transmission Economics Power Transmission, Distribution And Supply Renewable Energy Source RES-based System Smart Grid Smart Power Grid Stochastic Multiobjective Mixed-integer Linear Programming Framework Stochastic Programming Uncertainty Level
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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