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Planning of Resilient Electric Power Distribution Systems

Grant number: 19/01841-5
Support type:Scholarships in Brazil - Post-Doctorate
Effective date (Start): May 01, 2019
Effective date (End): April 30, 2022
Field of knowledge:Engineering - Electrical Engineering - Power Systems
Principal researcher:José Roberto Sanches Mantovani
Grantee:Juan Manuel Home Ortiz
Home Institution: Faculdade de Engenharia (FEIS). Universidade Estadual Paulista (UNESP). Campus de Ilha Solteira. Ilha Solteira , SP, Brazil
Associated research grant:15/21972-6 - Optimization of the operation and planning in transmission and distribution systems, AP.TEM
Associated scholarship(s):19/23755-3 - Optimal planning and operation of microgrids for the enhancing of the resilience in distribution systems, BE.EP.PD

Abstract

The distribution systems expansion planning is an important topic for the distribution companies that seek to guarantee the physical, operational, and safety performance of the system and in order to preserve the quality of the services and product to the users. Electric power blackouts due to natural disasters are concerns of network operators. Thus, researches are being developed to determine the impacts that natural disasters have under the distribution system to develop planning models in order to increase network resilience. At the same time, new technologies based on smart grids, network monitoring, and microgrids that allow the automatic operation of the system in restorative operation scenarios, are being developed. In that way, this research project considers the integrated solution of these two types of problems, that is, the normal operation and operation under contingencies. The first type of problem consists in determining an investment plan for the distribution system to meet the increasing demand on normal operating conditions, considering the installation and reinforcement of the network equipment such as substations, circuits, and distributed generation, dispatchable and/or renewable. The second problem consists of determining the restorative state operation schemes after the occurrence of a natural disaster, minimizing the power outage of the final users. For these problems, this research project proposes the development of mathematical optimization models that can be solved directly with commercial optimization solvers and variable neighborhood search meta-heuristics. In order to validate the proposed methodology, tests in carried on systems available in the literature must be performed under different conditions and operating scenarios.

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Scientific publications (5)
(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)
VARGAS, RENZO; MACEDO, LEONARDO H.; HOME-ORTIZ, JUAN M.; ROMERO, RUBEN. Optimal Restoration of Distribution Systems Considering Temporary Closed-Loop Operation. IEEE SYSTEMS JOURNAL, v. 15, n. 4, p. 5483-5494, DEC 2021. Web of Science Citations: 0.
YAMAGUTI, LUCAS DO CARMO; HOME-ORTIZ, JUAN M.; POURAKBARI-KASMAEI, MAHDI; SANCHES MANTOVANI, JOSE ROBERTO. Analysis of the Precision of a Second-Order Conic Model to Solve the Optimal Power Dispatch Problem in Electric Power Systems. JOURNAL OF CONTROL AUTOMATION AND ELECTRICAL SYSTEMS, JUL 2021. Web of Science Citations: 0.
VARGAS, RENZO; MACEDO, LEONARDO H.; HOME-ORTIZ, JUAN M.; SANCHES MANTOVANI, JOSE ROBERTO; ROMERO, RUBEN. Optimal Restoration of Active Distribution Systems With Voltage Control and Closed-Loop Operation. IEEE TRANSACTIONS ON SMART GRID, v. 12, n. 3, p. 2295-2306, MAY 2021. Web of Science Citations: 0.
HOME-ORTIZ, JUAN M.; CLARO DE OLIVEIRA, WMERSON; SANCHES MANTOVANI, JOSE ROBERTO. Optimal Power Flow Problem Solution Through a Matheuristic Approach. IEEE ACCESS, v. 9, p. 84576-84587, 2021. Web of Science Citations: 0.
HOME-ORTIZ, JUAN M.; POURAKBARI-KASMAEI, MAHDI; LEHTONEN, MATTI; MANTOVANI, JOSE ROBERTO SANCHES. A Mixed Integer Conic Model for Distribution Expansion Planning: Matheuristic Approach. IEEE TRANSACTIONS ON SMART GRID, v. 11, n. 5, p. 3932-3943, SEPT 2020. Web of Science Citations: 0.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.