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Optimization of modern distribution system operation via Electric Vehicles' flexibility and stationary batteries integrated into three-phase unbalanced networks

Grant number: 18/23617-7
Support type:Scholarships in Brazil - Post-Doctorate
Effective date (Start): April 01, 2019
Effective date (End): March 31, 2021
Field of knowledge:Engineering - Electrical Engineering - Power Systems
Principal researcher:Marcos Julio Rider Flores
Grantee:Maria Nataly Banol Arias
Home Institution: Faculdade de Engenharia Elétrica e de Computação (FEEC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
Associated research grant:15/21972-6 - Optimization of the operation and planning in transmission and distribution systems, AP.TEM

Abstract

The advent of modern energy system has promoted an increased number of electric vehicles (EVs) and other distributed energy resources (DERs) in power systems. This development has triggered new and increasing challenges in the distribution system planning and operation where distribution systems must adapt to the increased share of DERs. Hence, distribution systems are required to assume new responsibilities and procure additional services in an attempt to maintain high-quality services for end users. These services can potentially be provided by energy storage systems, including stationary batteries and vehicle-to-grid (V2G) enabled EVs by controlling either their active or reactive power, considering the new inverters' capabilities. The main objective of this research project is to develop a mathematical optimization method for modern electrical distribution systems (EDSs) considering the integration of EVs and stationary batteries into distribution networks. The optimization method should consider three-phase unbalanced distribution networks aiming a more realistic representation of EDSs. Additionally, it should consider the uncertainties associated with the conventional and EV demands, renewable energy sources and energy prices. The control mechanisms should consider V2G enabled EVs to maximize their flexibility when providing different services to distribution system operators (DSOs) e.g., congestion management, voltage support, unbalance reduction, etc. This technology makes it possible for EVs to consume or inject power into the network. The mathematical models will be implemented using the mathematical programing language AMPL and the operation of the system will be evaluated through the OpenDSS software.

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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)
ARIAS, NATALY BANOL; HASHEMI, SEYEDMOSTAFA; ANDERSEN, PETER BACH; TRAEHOLT, CHRESTEN; ROMERO, RUBEN. Assessment of economic benefits for EV owners participating in the primary frequency regulation markets. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, v. 120, SEP 2020. Web of Science Citations: 0.
GUZMAN, CINDY PAOLA; ARIAS, NATALY BANOL; FRANCO, JOHN FREDY; RIDER, MARCOS J.; ROMERO, RUBEN. Enhanced Coordination Strategy for an Aggregator of Distributed Energy Resources Participating in the Day-Ahead Reserve Market. ENERGIES, v. 13, n. 8 APR 2020. Web of Science Citations: 0.

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