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 Opportunities: Scholarships in Brazil - Post-Doctoral
• Effective date (Start): April 01, 2019
• Effective date (End): March 31, 2021
• Field of knowledge: Engineering - Electrical Engineering - Power Systems
• Principal Investigator: Marcos Julio Rider Flores
• Grantee: Maria Nataly Banol Arias
• Host 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.

Scientific publications

(15)

(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. (18/23617-7)

GUZMAN, CINDY P.; ARIAS, NATALY BANOL; FRANCO, JOHN FREDY; SOARES, JOAO; VALE, ZITA; ROMERO, RUBEN. Boosting the Usage of Green Energy for EV Charging in Smart Buildings Managed by an Aggregator Through a Novel Renewable Usage Index. IEEE ACCESS, v. 9, p. 105357-105368, 2021. (17/02831-8, 18/23617-7, 18/08008-4)

LOPEZ, JUAN CAMILO; ARIAS, NATALY BANOL; RIDER, MARCOS J.; IEEE. An MPEC Model for the Optimal Operation of Unbalanced Three-phase Distribution Systems. 2021 IEEE MADRID POWERTECH, v. N/A, p. 5-pg., 2021-01-01. (19/01906-0, 15/21972-6, 18/23617-7)

GUZMAN, CINDY P.; ROMERO, RUBEN; ARIAS, NATALY BANOL; RIDER, MARCOS J.; FRANCO, JOHN FREDY; IEEE. Secondary Reserve Provision through a Smart Aggregation Strategy of Electric Vehicles. 2021 IEEE MADRID POWERTECH, v. N/A, p. 6-pg., 2021-01-01. (15/21972-6, 17/02831-8, 18/23617-7)

ARIAS, NATALY BANOL; LOPEZ, JUAN CAMILO; HASHEMI, SEYEDMOSTAFA; FRANCO, JOHN F.; RIDER, MARCOS J.. Multi-Objective Sizing of Battery Energy Storage Systems for Stackable Grid Applications. IEEE TRANSACTIONS ON SMART GRID, v. 12, n. 3, p. 2708-2721, MAY 2021. (18/23617-7, 15/21972-6, 17/21752-1)

DE LIMA, TAYENNE D.; FRANCO, JOHN F.; LEZAMA, FERNANDO; SOARES, JOAO. A Specialized Long-Term Distribution System Expansion Planning Method With the Integration of Distributed Energy Resources. IEEE ACCESS, v. 10, p. 16-pg., 2022-01-01. (17/02831-8, 18/23617-7, 18/08008-4, 18/20990-9, 15/21972-6)

DE LIMA, TAYENNE DIAS; SOARES, JOAO; LEZAMA, FERNANDO; FRANCO, JOHN F.; VALE, ZITA; IEEE. Eco-friendly Planning of DG units and EV Charging Stations in Electrical Distribution Systems: A Multi-Objective Mixed Integer Linear Programming Model. 2022 17TH INTERNATIONAL CONFERENCE ON PROBABILISTIC METHODS APPLIED TO POWER SYSTEMS (PMAPS), v. N/A, p. 6-pg., 2022-01-01. (18/20990-9, 15/21972-6, 17/02831-8, 18/23617-7, 18/08008-4)

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. (18/23617-7, 17/02831-8, 15/21972-6, 18/08008-4)

SILVA, JESSICA ALICE A.; LOPEZ, JUAN CAMILO; ARIAS, NATALY BANOL; RIDER, MARCOS J.; SILVA, LUIZ C. P. DA. An optimal stochastic energy management system for resilient microgrids. APPLIED ENERGY, v. 300, OCT 15 2021. (16/08645-9, 18/23617-7, 19/01906-0, 15/21972-6)

ZANETI, LETICIA A. L.; ARIAS, NATALY BANOL; DE ALMEIDA, MADSON C.; RIDER, MARCOS J.. Sustainable charging schedule of electric buses in a University Campus: A horizon. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, v. 161, p. 22-pg., 2022-06-01. (17/21752-1, 18/23617-7)

DOS SANTOS, KAIO VIEIRA; SILVA SANTOS, LUIZA HIGINO; BANOL, NATALY ARIAS; LOPEZ, JUAN CAMILO; RIDER, MARCOS J.; DA SILVA, LUIZ C. P.. Optimal Sizing and Allocation of Distributed Energy Resources in Microgrids Considering Internal Network Reinforcements. JOURNAL OF CONTROL AUTOMATION AND ELECTRICAL SYSTEMS, v. 34, n. 1, p. 14-pg., 2022-07-27. (19/01906-0, 20/00255-2, 18/23617-7)

DE LIMA, TAYENNE DIAS; TABARES, ALEJANDRA; ARIAS, NATALY BANOL; FRANCO, JOHN F.. Investment & generation costs vs CO2 emissions in the distribution system expansion planning: A multi-objective stochastic programming approach. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, v. 131, OCT 2021. (18/20990-9, 18/23617-7, 15/21972-6, 17/02831-8)

CORDERO BAUTISTA, LUIS GUSTAVO; SOARES, JOAO; FRANCO BAQUERO, JOHN FREDY; VALE, ZITA; IEEE. Probabilistic Algorithm based on 2m+1 Point Estimate Method Edgeworth considering Voltage Confidence Intervals for Optimal PV Generation. 2022 17TH INTERNATIONAL CONFERENCE ON PROBABILISTIC METHODS APPLIED TO POWER SYSTEMS (PMAPS), v. N/A, p. 6-pg., 2022-01-01. (18/08008-4, 15/21972-6, 18/23617-7, 17/02831-8, 18/20990-9)

ARIAS, NATALY BANOL; LOPEZ, JUAN C.; RIDER, MARCOS J.; FRANCO, JOHN FREDY; IEEE. Adaptive Robust Linear Programming Model for the Charging Scheduling and Reactive Power Control of EV Fleets. 2021 IEEE MADRID POWERTECH, v. N/A, p. 6-pg., 2021-01-01. (19/01906-0, 18/23617-7, 15/21972-6)

ARIAS, NATALY BANOL; SABILLON, CARLOS; FRANCO, JOHN FREDY; QUIROS-TORTOS, JAIRO; RIDER, MARCOS J.. Hierarchical Optimization for User-Satisfaction-Driven Electric Vehicles Charging Coordination in Integrated MV/LV Networks. IEEE SYSTEMS JOURNAL, v. N/A, p. 12-pg., 2022-07-21. (18/08008-4, 17/21752-1, 18/23617-7)