Multistage and coordinated planning of the expansion of transmission systems
By A. Escobar, R. Gallego, Rubén R. Romero. IEEE Transactions on Power Systems, 2004
254 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/3f4e024b49d5b91ccbd707e5cdde987a2826bf49
How researchers see this paper
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In Electrical and Electronic Engineering
- Marcos J. Rider
- Mohsen Rahmani
- Rubén R. Romero
- Kevin Tomsovic
- Xiaohu Zhang
- Aleksandar D. Dimitrovski
- G. Vinasco
- Mohammad Shahidehpour
Citations in the corpus
- Transmission Expansion Planning From Past to Future (2006, methodology): “all investments carried out throughout the years according to the planning periods [53].”
- A Strategy to Solve the Multistage Transmission Expansion Planning Problem (2011, methodology): “The mathematical models used for the static and multistage TEP problems are presented in [1], [2] and [3], [4], respectively.”
- Strategies to Reduce the Number of Variables and the Combinatorial Search Space of the Multistage Transmission Expansion Planning Problem (2013, methodology): “The mathematical model for the TEP problem is a mixed integer, nonlinear, nonconvex optimization problem, which is very complex and computationally demanding [1], [2].”
- Multi-Stage Flexible Expansion Co-Planning Under Uncertainties in a Combined Electricity and Gas Market (2015, unknown): “load growth) have been found, such as [1], [3], [9], [24], [47], [48], [49], [50], [51].”
- A Scenario-Based Multi-Objective Model for Multi-Stage Transmission Expansion Planning (2011, methodology): “1 shows the codification of solutions used in this study [26].”
- A Mixed-Integer Linear Programming Approach for Multi-Stage Security-Constrained Transmission Expansion Planning (2012, methodology): “Considering the highly non-linear and non-convex nature of power systems, various heuristic methods such as genetic algorithms, greedy algorithms and simulated annealing [9]–[11] have been introduced.”
- Security Constrained Multi-Stage Transmission Expansion Planning Considering a Continuously Variable Series Reactor (2017, methodology): “Meta-heuristic methods, such as, genetic algorithms [14], greedy randomized search [15], particle swarm optimization [16] and differential evolution [17] have also been proposed to solve the TEP problem.”