Optimization techniques applied to operation planning problems of electrical distribution systems in the Smart Grids context

• Grant number: 14/08818-5
• Support Opportunities: Scholarships abroad - Research Internship - Post-doctor
• Effective date (Start): December 15, 2014
• Effective date (End): December 14, 2015
• Field of knowledge: Engineering - Electrical Engineering - Power Systems
• Principal Investigator: Rubén Augusto Romero Lázaro
• Grantee: John Fredy Franco Baquero
• Supervisor: Luis Fernando Ochoa
• Host Institution: Faculdade de Engenharia (FEIS). Universidade Estadual Paulista (UNESP). Campus de Ilha Solteira. Ilha Solteira , SP, Brazil
• Research place: University of Manchester, England
• Associated to the scholarship: 12/01100-6 - Distribution system expansion planning using mixed-integer linear programming, BP.PD

Abstract

Electrical Distribution Systems (EDS) must operate considering economic, reliability and security criteria. Nowadays, distributed generators as well as renewable energy sources must be integrated to the EDS in order to satisfy growing demands and greenhouse-gas emission reduction goals. Operation problems such as Volt/VAr control and plug-in electric vehicle charging coordination must be addressed to guarantee a suitable operation of the EDS. A smart grid paradigm with traditional and sustainable energy resources, customer consumption pattern, two-way communication possibilities and smart control systems, must be considered in the solution of this operation problems. In this research project, mathematical models and optimization techniques that consider the smart grid paradigm will be developed for the Volt/VAr control and electric vehicle charging problems. That methods will be tools for the distribution system operator to control the EDS satisfying economic and operational constraints.Mathematical modeling language and optimization solvers such as AMPL and CPLEX will be used aiming to apply classical optimization techniques that guarantee the optimal solution for convex models. Additionally, modern meta-heuristics will be employed to undertake real-time solution of Volt/VAr control and electric vehicle charging problems for big size systems. OpenDSS software and RTDS technology will be used to simulate the EDS in order to validate the solutions provided by the aforementioned methods. (AU)

Scientific publications

(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)

FRANCO, JOHN F.; OCHOA, LUIS F.; ROMERO, RUBEN. AC OPF for Smart Distribution Networks: An Efficient and Robust Quadratic Approach. IEEE TRANSACTIONS ON SMART GRID, v. 9, n. 5, p. 4613-4623, SEP 2018. (14/08818-5)