New optimization models to solve the distribution system planning problem in the context of active networks

• Grant number: 18/20990-9
• Support Opportunities: Scholarships in Brazil - Post-Doctoral
• Start date: July 01, 2019
• End date: August 31, 2021
• Field of knowledge: Engineering - Electrical Engineering - Power Systems
• Principal Investigator: John Fredy Franco Baquero
• Grantee: Alejandra Tabares Pozos
• Host Institution: Faculdade de Engenharia (FEIS). Universidade Estadual Paulista (UNESP). Campus de Ilha Solteira. Ilha Solteira , SP, Brazil

Abstract

The integration of renewable energy resources and new technologies in future electricity distribution networks requires planning methodologies that accurately consider the uncertainty associated with the output power from the renewable sources and the demand growth. To that aim, novel optimization methodologies for the multi-period expansion planning problem of distribution systems will be developed in this project. The proposed methodology is a specialized tool to support the network operator decisions in the planning of the future distribution grid. Traditional network assets (feeders and substations), as well as new assets, e.g., renewable/conventional distributed generators and storage systems will be included within the expansion planning, considering the influence of new technologies such as electric vehicles.Regarding the network characteristics, the mathematical models will include convex versions of the AC power flow equations, which will be obtained by using convex relaxation techniques or linear approximations. In addition, stochastic and robust programming approaches will be employed to deal with the uncertainties of demands and renewable sources. The mathematical formulation will be implemented in the mathematical modeling language AMPL and the solutions will be assessed using Monte Carlo simulations.

Scientific publications

(9)

(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)

MARTINEZ, NORBERTO; TABARES, ALEJANDRA; FRANCO, JOHN F.. Generation of Alternative Battery Allocation Proposals in Distribution Systems by the Optimization of Different Economic Metrics within a Mathematical Model. ENERGIES, v. 14, n. 6, MAR 2021. (17/02831-8, 18/20990-9)

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)

ZANDRAZAVI, SEYED FARHAD; POZOS, ALEJANDRA TABARES; FRANCO, JOHN FREDY; LEONOWICZ, Z. Hybrid Stochastic/Information Gap Decision Theory Model for Optimal Energy Management of Grid-Connected Microgrids with Uncertainties in Renewable Energy Generation and Demand. 2021 21ST IEEE INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING AND 2021 5TH IEEE INDUSTRIAL AND COMMERCIAL POWER SYSTEMS EUROPE (EEEIC/I&CPS EUROPE), v. N/A, p. 6-pg., 2021-01-01. (15/21972-6, 17/02831-8, 18/20990-9)

TABARES, ALEJANDRA; PUERTA, GABRIEL F.; FRANCO, JOHN F.; ROMERO, RUBEN A.. Planning of Reserve Branches to Increase Reconfiguration Capability in Distribution Systems: A Scenario-Based Convex Programming Approach. IEEE ACCESS, v. 9, p. 104707-104721, 2021. (17/02831-8, 15/21972-6, 18/20355-1, 18/20990-9)

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)

ZANDRAZAVI, SEYED FARHAD; GUZMAN, CINDY PAOLA; TABARES POZOS, ALEJANDRA; QUIROS-TORTOS, JAIRO; FRANCO, JOHN FREDY. Stochastic multi-objective optimal energy management of grid-connected unbalanced microgrids with renewable energy generation and plug-in electric vehicles. ENERGY, v. 241, FEB 15 2022. (18/20990-9, 15/21972-6, 17/02831-8, 18/08008-4)

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)

SILVEIRA, CHRISTOFFER L. BEZAO; TABARES, ALEJANDRA; FARIA, LUCAS TELES; FRANCO, JOHN F.. Mathematical optimization versus Metaheuristic techniques: A performance comparison for reconfiguration of distribution systems. Electric Power Systems Research, v. 196, JUL 2021. (15/21972-6, 17/02831-8, 18/20990-9, 18/18659-2)

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)