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Transmission expansion planning using dynamic security constraints

Grant number: 10/01014-7
Support type:Scholarships in Brazil - Post-Doctorate
Effective date (Start): July 01, 2010
Effective date (End): June 30, 2013
Field of knowledge:Engineering - Electrical Engineering
Principal Investigator:Carlos Alberto de Castro Junior
Grantee:Santiago Patricio Torres Contreras
Home Institution: Faculdade de Engenharia Elétrica e de Computação (FEEC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
Associated research grant:07/07404-9 - Development of computational tools for power systems planning and operation, AP.TEM

Abstract

This research project focuses on developing a methodology for solving the multistep transmission expansion planning problem, using the AC model for the system and considering the dynamic security constraints. The idea is to implement the methodology through the meta-heuristics Particle Swarm Optimization (PSO) or its version Evolutionary Particle Swarm Optimization (EPSO). Both have already shown to provide interesting results for some optimization problems related to power systems. Since solving this kind of problem requires a heavy computational effort, the idea is to use a version of PSO (or EPSO) where the use of parallel processing is viable, and the power of the new multicore processors is explored. Therefore, the main contributions of this research work are the development of a methodology using the AC model for multistep transmission expansion planning by using a metaheuristics or its variants, considering the dynamic security constraints within a centralized planning, with the help of parallel processing. In this research work the problems related to the planning in competitive markets are not tackled yet. (AU)