“Transmission Expansion Planning Based on Tabu Search Algorithm”

This paper presents a new approach for formulating and solving the transmission expansion planning (TEP) problem. The main improvement is in introducing the corona power loss in the objective function and operating constraints. Introducing this new term reveals a nonlinear objective function which is solved by the genetic algorithms technique (GA). The corona power loss term has been tried for a practical number of sub-conductors (1, 2, 3, and 4) and practical sub-conductor radii. In order to test and justify this new formulation, it has been applied to Garver's 6-bus test sytem The outcome of the expansion process is the optimal scenario which defines the number of lines to be added. For each added line, the number and radii of sub conductors, phase spacing, height, and bundle radius are also generated as a result of the expansion process. When compared to previously reported TEP attempts, simulation results show a reduction in the total cost of the expanded networ

Aplicación de métodos deterministas para la planificación de la expansión de la red de transmisión en Ecuador

In this research project, the modeling of deterministic methods for transmission expansion planning (PET) was developed, with the purpose of evaluating the best planning model, to satisfy the progressive increase suffered by electricity demand in transmission networks. , and to be able to transport the respective amount of electrical energy projected to a respective determined horizon of study time 2022 - 2032.En este proyecto de investigación se desarrolló el modelamiento de métodos deterministas para la planificación de la expansión de la trasmisión (PET), con el propósito de evaluar el mejor modelo de planeación, para satisfacer el progresivo incremento que sufre la demanda eléctrica en redes de trasmisión, y poder transportar la respectiva cantidad de energía eléctrica proyectada a un respectivo horizonte determinado de tiempo de estudio 2022 – 2032