A Decomposition Approach To Automated Generation/Transmission Expansion Planning

Automatic selection of candidate investments for Transmission Expansion Planning

“…Some MINLP approaches have also been proposed [21]. Stochastic decomposition techniques have also been extensively applied as a result of a problem structure particularly amenable to these techniques as will be discussed [13,16,22,23]. Outside the classical optimization space, the TEP problem has been undertaken using methods such as greedy searches [24] (in particular, guided by sensitivity analyses [25]), Expert Systems [26], or metaheuristics like Genetic Algorithms [27], Simulated Annealing [28] or Swarm Intelligence [29].…”

“…This technique has been applied to TEP in a long list of applications [13,16,23]. This approach divides the two-stage stochastic linear problem into two parts, a master problem and a subproblem that are solved iteratively.…”

A discrete evolutionary PSO based approach to the multiyear transmission expansion planning problem considering demand uncertainties

“…Traditionally the expansion planning of transmission networks was addressed in an integrated way with generation expansion planning as detailed in [7]. More recently, integrated generation/ transmission expansion planning approaches continue to be reported in the literature, namely considering geographical areas in which the unbundling of the sector was not implemented [8,9].…”

“…In this scope [20,21] use linear and quadratic programming, [22] uses an interior point approach, [18,23] adopt dynamic programming and [19,24,25] use mix integer formulations. On the other hand, [7,26] adopt Benders decomposition and [27] uses Hierarchical decomposition. More recently, given the complexity and the discrete nature of the TEP problem, metaheuristics also started to be applied.…”

A dynamic model for coordination of generation and transmission expansion planning in power systems

“…Although the model does not include reliability evaluation of the selected plans, the method is so inclusive with regard to the available computational tools at the time of publication. The application of Benders decomposition to the simultaneous GEP/ TEP problem has been explained in [2]. This decomposition technique is mainly used to overcome the complexities of large scale MILP/MINLP formulations.…”