Primary Frequency Response of Microgrid Using Doubly Fed Induction Generator With Finite Control Set Model Predictive Control Plus Droop Control and Storage System

Author(s)

Gomez, Luis A. G. ^[1] ; Lourenco, Luis F. N. ^[1] ; Grilo, Ahda P. ^[2] ; Salles, M. B. C. ^[1] ; Meegahapola, Lasantha ^[3] ; Sguarezi Filho, A. J. ^[2]

Affiliation

^[1] Univ Sao Paulo, Polytech Sch, Lab Adv Elect Grids LGrid, BR-05508010 Sao Paulo, CO - Brazil

^[2] Fed Univ ABC UFABC, Ctr Engn Modeling & Appl Social Sci CECS, BR-09210580 Santo Andre, CO - Brazil

^[3] RMIT Univ, Melbourne, Vic 3000 - Australia

• Document type: Journal article
• Source: IEEE ACCESS; v. 8, p. 189298-189312, 2020.
• Web of Science Citations: 0

Abstract

This paper presents a new methodology for primary frequency response (PFR) in a microgrid through the finite control set-model predictive control (FCS-MPC) plus droop control applied to the grid side converter (GSC) of a doubly fed induction generator (DFIG). In this configuration, the rotor side converter (RSC) is responsible for maintaining wind turbine operation at the maximum power point (MPP) extraction, even at the time of a disturbance, while the GSC is responsible for processing the power required to reestablish the microgrid frequency at its rated value. The power required for frequency control comes from a battery energy storage system (BESS) connected to the DC-link, and its value is selected via the FSC-MPC by continuously adjusting the droop gain value. This control configuration has considerable benefits such as continuous operation at the MPP extraction, injection of power proportional to the frequency imbalance, the capability to impose restrictions through the control and it does not use any type of communication between the storage system and the control. Through the FCS-MPC, the gain of the droop controller is selected, which maximizes the power needed to control the frequency of the microgrid. To verify the performance of the proposed control strategy, simulations are performed for an unexpected islanding of the microgrid under different wind speed scenarios. The results show that the DFIG equipped with the proposed control strategy is able to provide ancillary services such as PFR in all DFIG operating modes. (AU)

• FAPESP's process: 17/04623-3 - Predictive control applied to the input converter for photovoltaic systems
• Grantee: Alfeu Joãozinho Sguarezi Filho
• 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