Electricity distribution networks restoration using the Tabu Search meta-heuristic

• Grant number: 19/20926-1
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: February 01, 2020
• End date: December 31, 2020
• Field of knowledge: Engineering - Electrical Engineering - Power Systems
• Principal Investigator: Marcos Julio Rider Flores
• Grantee: Lucas Zenichi Terada
• Host Institution: Faculdade de Engenharia Elétrica e de Computação (FEEC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil

Abstract

Restoring power distribution networks determines the switch operations required to isolate a faulty zone from the grid to minimize the operating costs associated with disconnecting loads and the number of switch and breaker state changes in the restorative state. In addition, the final restoration topology should ensure that system operating restrictions are respected so that node voltage magnitude limits, branch current magnitude limits, feeder capacities remain within established safety limits. And the radial operation of the distribution network. This scientific research work aims to develop a tabu search metaheuristic to solve the problem of restoration of electricity distribution networks in order to minimize the powerless demand after the failure, considering the operational restrictions of the network. The methodology will be implemented in JULIA programming language and will be tested using a test system and a real network from Campinas / SP region.

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

LOPEZ, JUAN CAMILO; TERADA, LUCAS ZENICHI; RIDER, MARCOS J.; WU, QIUWEI. Design and Simulation of a Centralized Self-Healing Scheme for Unbalanced Three-phase Electrical Distribution Systems. JOURNAL OF CONTROL AUTOMATION AND ELECTRICAL SYSTEMS, NOV 2021. (19/01906-0, 17/21752-1, 19/20926-1)