| Grant number: |
15/12564-1
|
| Support type: | Scholarships in Brazil - Doctorate |
| Effective date (Start): |
March 01, 2016
|
| Effective date (End): |
July 31, 2019
|
| Field of knowledge: | Engineering
-
Electrical Engineering
-
Power Systems |
|
| Principal researcher: | Marcos Julio Rider Flores |
| Grantee: | Juan Camilo Lopez Amezquita |
|
| Home 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
(7)
(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)