Designing and Implementation of a Self-Healing Scheme for Modern Electrical Distribution Systems

• Grant number: 15/12564-1
• Support Opportunities: Scholarships in Brazil - Doctorate
• Start date: March 01, 2016
• End date: July 31, 2019
• Field of knowledge: Engineering - Electrical Engineering - Power Systems
• Principal Investigator: Marcos Julio Rider Flores
• Grantee: Juan Camilo Lopez Amezquita
• Host Institution: Faculdade de Engenharia Elétrica e de Computação (FEEC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
• Associated scholarship(s): 17/02196-0 - Stochastic Estimation of Maximum Load to be Restored by the Self-Healing System: a Frequentist and Bayesian Approach, BE.EP.DR

Abstract

The main objective of this research project is to design and to implement an efficient self-healing software for three-phase electrical distribution systems (EDS), using the information provided by smart meters and considering distributed generation (DG). Self-healing is the capacity of the EDS to restore themselves automatically in case of a permanent fault, and with minimal human intervention. According to the meter's data, the proposed self-healing software will: a) identify the zone where a permanent fault is located, b) estimate the power injections in the network's nodes, and c) generate the sequence of operations of the switches installed along the system. Ultimately, the self-healing scheme will isolate the faulty zone and restore the service of as many customers as possible, in the least amount of time and with minimal human intervention. The proposed self-healing software will have a friendly graphical user interface to simplify the designing and the data acquisition processes, also considering three-phase EDS georeference data, DG placement, smart meters and remote controlled switch operations. The fault location algorithm will use the smart meters' information and the fault indicators signals in order to establish the zone where a permanent fault is located. Then, a three-phase state estimation algorithm will estimate the power injections throughout the nodes, considering pseudo-measurements and the operational constraints of the system. After finding the fault section of the system and the power injections throughout the nodes, an optimized-based restoration algorithm will be deployed in order to determine the sequence of switch operations that restores the electrical service. The methodology used to optimize the restoration process will be a metaheuristic algorithm called tabu search. The metaheuristic will define the optimal switch operations that minimize the unattended demand after the fault, considering electrical and operational constraints. The proposed self-healing scheme will be tested using well-established distribution test feeders and a real metropolitan network of Campinas/SP.

Scientific publications

(9)

(The scientific publications listed on this page originate from the Web of Science or SciELO databases. Their authors have cited FAPESP grant or fellowship project numbers awarded to Principal Investigators or Fellowship Recipients, whether or not they are among the authors. This information is collected automatically and retrieved directly from those bibliometric databases.)

ACOSTA, JHAIR S.; LOPEZ, JUAN CAMILO; RIDER, MARCOS J.. Optimal Multi-Scenario, Multi-Objective Allocation of Fault Indicators in Electrical Distribution Systems Using a Mixed-Integer Linear Programming Model. IEEE TRANSACTIONS ON SMART GRID, v. 10, n. 4, p. 4508-4519, JUL 2019. (15/12564-1, 15/26096-0)

GIRALDO, JUAN S.; LOPEZ, JUAN CAMILO; CASTRILLON, JHON A.; RIDER, MARCOS J.; CASTRO, CARLOS A.. Probabilistic OPF Model for Unbalanced Three-Phase Electrical Distribution Systems Considering Robust Constraints. IEEE Transactions on Power Systems, v. 34, n. 5, p. 3443-3454, SEP 2019. (15/12564-1)

ARIAS, NATALY BANOL; ROMERO, RUBEN; LOPEZ, JUAN CAMILO; RIDER, MARCOS J.; IEEE. Optimal Sizing of Stationary Energy Storage Systems Participating in Primary Frequency Regulation Markets. PROCEEDINGS OF THE 2018 IEEE PES TRANSMISSION & DISTRIBUTION CONFERENCE AND EXHIBITION - LATIN AMERICA (T&D-LA), v. N/A, p. 5-pg., 2018-01-01. (15/21972-6, 15/12564-1)

LOPEZ, JUAN CAMILO; FRANCO, JOHN F.; RIDER, MARCOS J.; ROMERO, RUBEN. Optimal Restoration/Maintenance Switching Sequence of Unbalanced Three-Phase Distribution Systems. IEEE TRANSACTIONS ON SMART GRID, v. 9, n. 6, p. 6058-6068, NOV 2018. (15/12564-1)

WITTMANN, FERNANDO MARCOS; LOPEZ, JUAN CAMILO; RIDER, MARCOS J.. Nonintrusive Load Monitoring Algorithm Using Mixed-Integer Linear Programming. IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, v. 64, n. 2, p. 180-187, MAY 2018. (15/12564-1)

LOPEZ, JUAN CAMILO; VERGARA, PEDRO P.; LYRA, CHRISTIANO; RIDER, MARCOS J.; DA SILVA, LUIZ C. P.. Optimal Operation of Radial Distribution Systems Using Extended Dynamic Programming. IEEE Transactions on Power Systems, v. 33, n. 2, p. 1352-1363, MAR 2018. (15/09136-8, 15/12564-1)

GIRALDO, JUAN S.; CASTRILLON, JHON A.; LOPEZ, JUAN CAMILO; RIDER, MARCOS J.; CASTRO, CARLOS A.. Microgrids Energy Management Using Robust Convex Programming. IEEE TRANSACTIONS ON SMART GRID, v. 10, n. 4, p. 4520-4530, JUL 2019. (15/12564-1)

VERGARA, PEDRO P.; LOPEZ, JUAN C.; RIDER, MARCOS J.; DA SILVA, LUIZ C. P.. Optimal Operation of Unbalanced Three-Phase Islanded Droop-Based Microgrids. IEEE TRANSACTIONS ON SMART GRID, v. 10, n. 1, p. 928-940, JAN 2019. (15/09136-8, 15/12564-1)

LOPEZ, JUAN CAMILO; RIDER, MARCOS J.; SHEN, FEIFAN; WU, QIUWEI; IEEE. Distributed Service Restoration of Active Electrical Distribution Systems using ADMM. 2019 IEEE POWER & ENERGY SOCIETY INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE (ISGT), v. N/A, p. 5-pg., 2019-01-01. (15/12564-1)

Academic Publications

(References retrieved automatically from State of São Paulo Research Institutions)

AMEZQUITA, Juan Camilo Lopez. Estudo e implementação de um esquema de self-healing em sistemas modernos de distribuição de energia elétrica. 2019. Doctoral Thesis - Universidade Estadual de Campinas (UNICAMP). Faculdade de Engenharia Elétrica e de Computação Campinas, SP.