Energy Management in Smart Grids Considering the Implementation of Volt-Var Control

• Grant number: 18/06451-8
• Support Opportunities: Scholarships in Brazil - Post-Doctoral
• Start date: November 01, 2018
• End date: February 28, 2023
• Field of knowledge: Engineering - Electrical Engineering - Power Systems
• Principal Investigator: Antonio Padilha Feltrin
• Grantee: Darwin Alexis Quijano Rodezno
• Host Institution: Faculdade de Engenharia (FEIS). Universidade Estadual Paulista (UNESP). Campus de Ilha Solteira. Ilha Solteira , SP, Brazil
• Associated research grant: 15/21972-6 - Optimization of the operation and planning in transmission and distribution systems, AP.TEM
• Associated scholarship(s): 20/12401-3 - Demand side management strategies for microgrids with voltage dependent thermostatically controlled loads, BE.EP.PD

Abstract

The energy management in the microgrids is performed through the scheduling and dispatch of the different distributed energy sources (EDF) and categories of interconnected loads within their limits. In this research project, it is proposed to include the procedure that consists of reducing the voltage levels with which the loads are fed to reduce its consumption, called Conservation Voltage Reduction (CVR), within the schemes for energy management in microgrids. The main objective of the proposal is to investigate the interaction of CVR with the other energy management schemes when looking for the efficient, autonomous and economic operation of the microgrids. Some of the schemes to be investigated include scheduling and controlling the operation of energy storage systems and electric vehicles, scheduling and initiation of demand response actions for responsive loads, and scheduling and variation of the output power of the distributed generation units ) controllable. In addition, it will be considered presence of DG based on renewable energy sources, for example wind turbine generation systems and solar photovoltaic systems. The coordination of the operation of all components of the microgrids will be performed through optimization algorithms designed for centralized control from the control center of the micro-network. These algorithms will be developed to determine the operational plan of the microgrid components based on the objectives of the proposed strategies, which will be representative of the system requirements, eg voltage regulation, generation and demand balance, voltage and frequency stability, loss reduction, congestion management and minimization of operating costs. Strategies will be proposed for the different phases of operation of the microgrids (i.e., operation planning and real-time operation), considering different combinations of technologies. The performance of the strategies will be evaluated comparing the results of different case studies and, when possible, the results obtained will be compared with the results of similar works published in the specialized literature.

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.)

QUIJANO, DARWIN A.; MELGAR-DOMINGUEZ, OZY D.; SABILLON, CARLOS; VENKATESH, BALA; PADILHA-FELTRIN, ANTONIO. Increasing distributed generation hosting capacity in distribution systems via optimal coordination of electric vehicle aggregators. IET GENERATION TRANSMISSION & DISTRIBUTION, v. 15, n. 2, NOV 2020. (18/12422-0, 15/21972-6, 18/06451-8)

QUIJANO, DARWIN A.; VAHID-GHAVIDEL, MORTEZA; JAVADI, MOHAMMAD SADEGH; PADILHA-FELTRIN, ANTONIO; CATALAO, JOAO P. S.. A Price-Based Strategy to Coordinate Electric Springs for Demand Side Management in Microgrids. IEEE TRANSACTIONS ON SMART GRID, v. 14, n. 1, p. 13-pg., 2023-01-01. (15/21972-6, 20/12401-3, 18/06451-8)

QUIJANO, DARWIN A.; PADILHA-FELTRIN, ANTONIO; CATALAO, JOAO P. S.. Probabilistic Rolling-Optimization Control for Coordinating the Operation of Electric Springs in Microgrids With Renewable Distributed Generation. IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, v. 13, n. 4, p. 13-pg., 2022-10-01. (20/12401-3, 18/06451-8, 15/21972-6)

QUIJANO, DARWIN A.; PADILHA-FELTRIN, ANTONIO; CATALAO, JOAO P. S.; IEEE. Volt-Var Optimization with Power Management of Plug-in Electric Vehicles for Conservation Voltage Reduction in Distribution Systems. 2022 IEEE INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING AND 2022 IEEE INDUSTRIAL AND COMMERCIAL POWER SYSTEMS EUROPE (EEEIC / I&CPS EUROPE), v. N/A, p. 6-pg., 2022-01-01. (20/12401-3, 18/06451-8, 15/21972-6)

QUIJANO, DARWIN A.; PADILHA-FELTRIN, ANTONIO; IEEE. Assessment of Distributed Generation Hosting Capacity of Microgrids with Thermal Smart Loads. 2020 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES EUROPE (ISGT-EUROPE 2020): SMART GRIDS: KEY ENABLERS OF A GREEN POWER SYSTEM, v. N/A, p. 5-pg., 2020-01-01. (15/21972-6, 18/06451-8)

QUIJANO, DARWIN A.; PADILHA-FELTRIN, ANTONIO. Optimal integration of distributed generation and conservation voltage reduction in active distribution networks. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, v. 113, p. 197-207, DEC 2019. (15/21972-6, 18/06451-8)