Multiobjective metaheuristics for service restoration in electric power distribution networks

Author(s)

Vinicius Jacques Garcia

• Document type: Doctoral Thesis
• Press: Campinas, SP.
• Institution: Universidade Estadual de Campinas (UNICAMP). Faculdade de Engenharia Elétrica e de Computação
• Defense date: 2005-11-11

Examining board members

Paulo Morelato França; Christiano Lyra Filho; Luiz Carlos Pereira da Silva; Carlos Alberto de Castro Junior; Jose Roberto Sanches Mantovani; Felipe Martins Muller

• Advisor: Paulo Morelato França

Abstract

After the Brazilian electric power market regulation, quality of service became a crucial concern of utilities. In fact, the service restoration has a particular importance since it is closely related to frequency and duration of service interruption: through network reconfigurations, one aims to reduce the non supplied load while respecting constraints like feeder and voltage limits as well as the maintenance of a radial structure. Considering that this emergency state is transitory existing only until the fault is eliminated, it is convenient to reduce the number of switching operations in order to make the return back to the original configuration easy. This work considers the multiobjective service restoration to minimize both the load not supplied and the number of switching operations. After defining the mathematical formulation proposed and presenting the bibliographical survey with the description of a new framework to related problems, two new heuristics are presented, one for constructive search and another one for neighborhood search. Next, two metaheuristics especially developed for the referred problem are described, both based on Pareto optimization. Finally, the effectiveness of these proposed methods are proved in a set of five systems, three of them referring to actual Brazilian systems (AU)