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

This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)
Received 08/07/2017, Accepted 29/08/2017, Published 13/09/2017

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.

Inspec keywords: linear programming; stochastic programming; investment; renewable energy sources; integer programming; power generation economics; smart power grids; power transmission economics

Other keywords: generation unit types; novel multiobjective generation investment framework; RES-based system; novel multiobjective transmission investment framework; renewable energy sources; smart grid; dominated RES power system; stochastic multiobjective mixed-integer linear programming framework; uncertainty level; harmful gaseous emission reduction

Subjects: Power system management, operation and economics; Energy resources; Optimisation techniques; Power transmission, distribution and supply

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