Intelligent Expert System for Power Quality Improvement Under Distorted and Unbalanced Conditions in Three-Phase AC Microgrids

Author(s)

Moreira, Alexandre C. ^[1] ; Paredes, Helmo K. M. ^[2] ; de Souza, Wesley A. ^[3] ; Marafao, Fernando P. ^[2] ; da Silva, Luiz C. P. ^[3]

Affiliation

^[1] Univ Fed Sao Joao del Rei, BR-36420000 Ouro Branco - Brazil

^[2] Sao Paulo State Univ, Inst Sci & Technol, BR-18087180 Sorocaba - Brazil

^[3] Univ Estadual Campinas, Sch Elect & Comp Engn, BR-13081970 Campinas, SP - Brazil

• Document type: Journal article
• Source: IEEE TRANSACTIONS ON SMART GRID; v. 9, n. 6, p. 6951-6960, NOV 2018.
• Web of Science Citations: 2

Abstract

This paper presents an expert system (ES) based on decoupled power/current decomposition and the k-nearest neighbor pattern recognition method to identify and choose the correct mitigation solution for power quality improvement in three-phase ac microgrids under non-sinusoidal current and voltage operations. By using power/current terms, load conformity factors and a k-nearest neighbor classifier, the proposed ES achieved 99.98% classification accuracy. Simulation studies were carried out in a PSCAD/EMTDC environment, where the IEEE 13-bus feeder test system was in a grid connected microgrid mode. The obtained results indicate that the proposed ES is robust and able to easily select an appropriate/adequate compensation solution. (AU)

• FAPESP's process: 13/08545-6 - Study of local and/or cooperative control techniques for low voltage smart microgrids
• Grantee: Helmo Kelis Morales Paredes
• Support Opportunities: Regular Research Grants
• FAPESP's process: 16/08645-9 - Interdisciplinary research activities in electric smart grids
• Grantee: João Bosco Ribeiro do Val
• Support Opportunities: Research Projects - Thematic Grants