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| Author(s): |
Juan Camilo López Amézquita
Total Authors: 1
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| Document type: | Doctoral Thesis |
| Press: | Campinas, SP. |
| Institution: | Universidade Estadual de Campinas (UNICAMP). Faculdade de Engenharia Elétrica e de Computação |
| Defense date: | 2019-07-31 |
| Examining board members: |
Marcos Julio Rider Flores;
João Bosco Augusto London Junior;
Jonatas Boas Leite;
Fernanda Caseño Trindade Arioli;
Madson Cortes de Almeida
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| Advisor: | Marcos Julio Rider Flores |
| Abstract | |
The main objective of this theses is to design and to implement a centralized self-healing software for unbalanced three-phase electrical distribution systems (EDS), using the information provided by smart meters and considering distributed generation (DG). Self-healing is the ability of the EDS to automatically restore themselves in case of a permanent fault. According to the data gathered by smart meters and the EDS's parameters, the proposed self-healing software is able to: a) estimate the nodal demands during the pre and post-fault status, using a three-phase state estimator and a short-term load forecasting method, b) identify the zone wherein a permanent fault is located, and c) generate the sequence of operations that must be deployed by the remote-controlled switches installed along the system. Ultimately, the self-healing scheme will isolate the faulty section of the network 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 data acquisition process and to present the results, considering geographic data, dispatchable DG units, smart meters and remote-controlled switching devices. A three-phase state estimator will continuously calculate the power demands at the nodes. In case of a permanent fault, the fault location algorithm will use the smart meters' data and the fault indicators signals to establish the zone where a permanent fault is most probably located. After finding the faulty section of the system and the estimated post-fault demands, an optimal service restoration will be deployed in order to determine the sequence of switch operations. Mathematical optimization models will be used to represent the three-phase state estimator and the service restoration process. An enhanced bus-impedance-matrix-based fault-location method will be also implemented. The methodology used to solve the optimization models will be the metaheuristic \emph{Tabu {Search}}. The short-term load forecasting method will be an adaptation of the seasonal ARIMA models. The proposed self-healing scheme will be tested using real EDS (AU) | |
| FAPESP's process: | 15/12564-1 - Designing and Implementation of a Self-Healing Scheme for Modern Electrical Distribution Systems |
| Grantee: | Juan Camilo Lopez Amezquita |
| Support Opportunities: | Scholarships in Brazil - Doctorate |