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Application of heuristic techniques to deal with binary variables in optimal distributed restoration

Grant number: 21/11310-7
Support Opportunities:Scholarships abroad - Research Internship - Post-doctor
Start date: April 01, 2022
End date: March 31, 2023
Field of knowledge:Engineering - Electrical Engineering - Power Systems
Principal Investigator:Marcos Julio Rider Flores
Grantee:Juan Camilo Lopez Amezquita
Supervisor: Johann Hurink
Host Institution: Faculdade de Engenharia Elétrica e de Computação (FEEC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
Institution abroad: University of Twente (UT), Netherlands  
Associated to the scholarship:19/01906-0 - Optimal distributed restoration of electrical distribution systems using alternating direction method of multipliers, BP.PD

Abstract

There is a challenging aspect of the optimal distribute restoration problem: binary variables are required to model the behavior of control devices, such as remote-controlled switches. Thus, in its traditional form, ADMM cannot guarantee convergence to optimality because this is only possible when the original optimization problem is strictly convex. During the development of the proposed optimal distributed restoration method, this issue was addressed using a simple rounding technique. In this context, the objective of this research project is to analyze and apply better heuristic techniques to deal with the binary nature of some of the decision variables. The idea is to obtain better and, if possible, faster results than the original rounding method, using heuristic rules that can be applied to large distribution systems. Results will be obtained using realistic Brazilian/Dutch electrical distribution networks, in the presence of multiple distributed energy resources and types of demands. Statistical analyses via Monte Carlo simulations will be also performed in order to show the superiority of the proposed techniques. (AU)

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Scientific publications (6)
(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.)
SILVA, JESSICA ALICE A.; LOPEZ, JUAN CAMILO; GUZMAN, CINDY PAOLA; ARIAS, NATALY BANOL; RIDER, MARCOS J.; DA SILVA, LUIZ C. P.. An IoT-based energy management system for AC microgrids with grid and security constraints. APPLIED ENERGY, v. 337, p. 16-pg., . (21/11380-5, 16/08645-9, 21/11310-7, 19/17306-1)
GUZMAN, CINDY P.; LOPEZ, JUAN CAMILO; SANCHEZ, GABRIELA; TERADA, LUCAS ZENICHI; RIDER, MARCOS J.; DA SILVA, LUIZ C. P.. An ADMM-based Distributed Energy Management System for Microgrids. 2022 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE EUROPE, ISGT-EUROPE, v. N/A, p. 5-pg., . (19/01906-0, 20/13002-5, 21/11310-7)
ALVAREZ, WASHINGTON S.; LOPEZ, JUAN CAMILO; LIEDERER, FERNANDO W.; DOTTA, DANIEL; RIDER, MARCOS J.. Dynamic security constrained AC optimal power flow for microgrids. Electric Power Systems Research, v. 236, p. 14-pg., . (21/11380-5, 19/01906-0, 21/11310-7)
CORTEZ, JUAN CARLOS; LOPEZ, JUAN CAMILO; ULLON, HERNAN R.; GIESBRECHT, MATEUS; RIDER, MARCOS J.. Day-Ahead Photovoltaic Power Forecasting Using Deep Learning with an Autoencoder-Based Correction Strategy. JOURNAL OF CONTROL AUTOMATION AND ELECTRICAL SYSTEMS, v. 35, n. 4, p. 15-pg., . (21/11380-5, 19/01906-0, 21/11310-7)
LOPEZ, JUAN CAMIIO; GCRARDS, MARCO E. T.; HURINK, JOHANN L.; RIDER, MARCOS J.. Enhanced Distributed Self-Healing System for Electrical Distribution Networks Using ADMM. 2023 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, PESGM, v. N/A, p. 5-pg., . (21/11380-5, 19/01906-0, 21/11310-7)
LOPEZ, JUAN CAMILO; PAPPU, ADITYA; HOOGSTEEN, GERWIN; HURINK, JOHANN L.; RIDER, MARCOS J.. Distributed management of energy communities using stochastic profile steering. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, v. 158, p. 10-pg., . (21/11380-5, 19/01906-0, 21/11310-7)