Stochastic analysis of load and renewable energy sources for conservation Voltage Reduction Assessment

• Grant number: 15/12911-3
• Support Opportunities: Scholarships abroad - Research Internship - Doctorate
• Start date: January 11, 2016
• End date: January 10, 2017
• Field of knowledge: Engineering - Electrical Engineering - Power Systems
• Principal Investigator: Antonio Padilha Feltrin
• Grantee: Darwin Alexis Quijano Rodezno
• Supervisor: Jianhui Wang
• Host Institution: Faculdade de Engenharia (FEIS). Universidade Estadual Paulista (UNESP). Campus de Ilha Solteira. Ilha Solteira , SP, Brazil
• Institution abroad: Argonne National Laboratory (ANL), United States
• Associated to the scholarship: 14/14201-0 - Integrated Volt-Var control in distribution networks with distributed generators, BP.DR

Abstract

This research project aims to select and fit a method for stochastic behavior characterization of load and distributed generation (DG) based on renewable energy sources (RES), within a Volt-Var control scheme developed for conservation voltage reduction (CVR) implementation in distribution networks. It is purported to use a simulation-based control methodology to quantify the CVR effects for demand reduction and energy saving. Based on the available information, it is intended a load and generation prediction so that the CVR effects can be measured accurately. (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)

QUIJANO, DARWIN ALEXIS; WANG, JIANHUI; SARKER, MUSHFIQUR R.; PADILHA-FELTRIN, ANTONIO. Stochastic assessment of distributed generation hosting capacity and energy efficiency in active distribution networks. IET GENERATION TRANSMISSION & DISTRIBUTION, v. 11, n. 18, SI, p. 4617-4625, DEC 21 2017. (15/12911-3)

QUIJANO, DARWIN ALEXIS; WANG, JIANHUI; SARKER, MUSHFIQUR R.; PADILHA-FELTRIN, ANTONIO. Stochastic assessment of distributed generation hosting capacity and energy efficiency in active distribution networks. IET GENERATION TRANSMISSION & DISTRIBUTION, v. 11, n. 18, p. 9-pg., 2017-12-21. (15/12911-3)