Classification of publications and models on transmission expansion planning

By G. Latorre, R. Cruz, J. Areiza, A. Villegas. 2003

755 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Safety, Risk, Reliability and Quality

View Paper: https://www.semanticscholar.org/paper/3b97e83128f476d1f9248cb03d9bee2b7799447d

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In Electrical and Electronic Engineering

In Safety, Risk, Reliability and Quality

Citations in the corpus

A Fast Solution Method for Stochastic Transmission Expansion Planning (2017, background): “A comprehensive review about TEP in both regulated and deregulated environments has been given in [1], [2].”
Transmission Expansion Planning From Past to Future (2006, background): “In general, TEP can be classified into static transmission expansion planning (STEP) and dynamic transmission expansion planning (DTEP) based on planning horizon [2].”
Transmission Planning Under Uncertainties of Wind and Load: Sequential Approximation Approach (2013, background): “Various transmission planning studies are listed and classified in [4].”
Strategies to Reduce the Number of Variables and the Combinatorial Search Space of the Multistage Transmission Expansion Planning Problem (2013, background): “A comprehensive review of these strategies is given in [15] and [16].”
An Engineering-Economic Approach to Transmission Planning Under Market and Regulatory Uncertainties: WECC Case Study (2014, background): “Transmission planning using optimization is an active research area [26].”
Market-based transmission expansion planning (2004, background): “• Uncertainties in deregulated power systems are much more than in regulated ones [1], [2], [4], [5], [7], [10], [11].”
Transmission Expansion Planning in Electricity Markets (2008, background): “Also, [22] and [23] define some of the basic concepts regarding “static transmission expansion planning.”
Transmission investment and expansion planning in a restructured electricity market (2006, methodology): “The application of various other optimization methods, including non-linear programming, integer programming, artificial intelligence methods such as expert system, neural networks, genetic algorithms, and tabu search, have been proposed [11].”
Cost-Optimal Power System Extension under Flow-Based Market Coupling (2014, methodology): “Besides linear programming, later works also deploy various other optimization methods, such as non-linear programming, mixed-integer programming or artificial intelligence methods [5].”