Browsing by Author "Matute Alvarado, Nelson Esteban"

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Impacto de la generación distribuida en el planeamiento de la expansión de los sistemas de transmisión
(2018) Matute Alvarado, Nelson Esteban; Torres Contreras, Santiago Patricio
The Transmission System Expansion Planning (TEP) consists of determining the optimal topology of the transmission network which goal is to satisfy the electrical demand projected in a certain time horizon. The optimal plan is obtained by minimizing the investment costs of transmission infrastructure and fulfilling all the technical requirements of the electrical system. Currently, technological developments have significantly reduced the investment costs of Distributed Generation (DG), which allows this new approach to be an alternative to the traditional approach of centralized generation. The incidence of GD in the electrical system could avoid the addition of new transmission circuits, which, in turn, could help to defer investments in the electrical system representing a possible saving. This work studies the economic impact of DG on TEP considering a long-term static planning (10 years) and using the mathematical AC model. The TEP, using the AC model, corresponds to a non-linear mixed-integer programming (MINLP) problem which is solved by the meta-heuristic that presents the best performance: Tabu Search (TS) and Artificial Fish Swarm Algorithm (AFSA). The results are obtained using Garver 6 - buses and IEEE 24 - buses test systems. DG is modeled as the summation of each type of small-scale generation technology concentrated in the distribution node.
Transmission expansion planning considering the impact of distributed generation
(Institute of Electrical and Electronics Engineers Inc., 2019) Matute Alvarado, Nelson Esteban; Torres Contreras, Santiago Patricio; Castro, Carlos Alberto
Distributed Generation (DG) is a very important alternative to the traditional approach of centralized generation and plays a major role not only in electric distribution systems but also in transmission systems. The incidence of DG in the electrical system (sub-transmission and/or distribution) could defer the addition of new transmission circuits and reduce transmission network losses, representing potential economical savings. This paper studies the economic impact of DG on the Transmission Expansion Planning (TEP) problem including also the cost of transmission network losses. A long-term deterministic static transmission expansion planning using the mathematical AC model is presented. DG is modeled as the summation of each type of small-scale generation technology concentrated in the load node. The proposed TEP approach provides information on the optimal combination of transmission circuits and DG in load nodes. The problem, formulated using the AC model, corresponds to a full non convex, non-linear mixed-integer programming (MINLP) problem. Performance comparisons between Particle Swarm Optimization (PSO) and Artificial Fish Swarm Algorithm (AFSA), to solve the problem, are shown. Garver 6 - bus and IEEE 24 - bus test systems are used to evaluate this TEP approach.