Test systems and mathematical models for transmission network expansion planning

By Rubén R. Romero, A. Monticelli, Ariovaldo V. Garcia, S. Haffner. 2002

483 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/5b54d4218b4020686765574b2fd759ec58105220

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Citations in the corpus

Transmission Expansion Planning From Past to Future (2006, methodology): “The hierarchical decomposition first solves the operation subproblem by using a simple transportation model [19] and then switches to more”
Polyhedral Formulations and Loop Elimination Constraints for Distribution Network Expansion Planning (2013, methodology): “The MILP formulation is brought on by 1) the disjunctive programming technique [17] combined with the conic relaxation of the power flow equations in an acyclic network [18] and 2) the linear representation of conic constraints by tight polyhedral approximations [19].”
Optimization of AC Transmission System Planning (2013, methodology): “There are three variations to this formulation with different levels of approximation, all of which lead to mixed-integer linear programs [7]: 1) the transportation model that accounts for Kirchhoff’s Current Law (KCL) at all nodes and neglects Kirchhoff’s Voltage Law (KVL), 2) the hybrid model that”
Multistage Model for Distribution Expansion Planning With Distributed Generation—Part I: Problem Formulation (2008, methodology): “This nonlinearity is avoided by adopting an extension of the linear disjunctive model successfully used in planning the expansion of transmission networks [36], [37].”
Convex Models of Distribution System Reconfiguration (2012, methodology): “The models represent the first convex approximations to the ac version of the problem, a methodology which has seen past success and recent development in neighboring contexts such as optimal power flow [13]–[15], transmission planning [16], [17], and unit commitment [18], [19].”
A Fast Solution Method for Stochastic Transmission Expansion Planning (2017, methodology): “SBLP is a disjunctive model as mentioned in [22].”
Strategies to Reduce the Number of Variables and the Combinatorial Search Space of the Multistage Transmission Expansion Planning Problem (2013, methodology): “Some examples are: classical methods [3], [4] heuristic algorithms [5], [6], meta-heuristic strategies [2], [7], [8]–[10] relaxed mathematical models [11], [12] and hybrid methods [13], [14].”
Mixed-integer nonlinear optimization*† (2013, background): “, 1997), transmission expansion (Romero et al., 2002; Garver, 1997), transmission switching (Bartholomew et al.”