Modified amplitude adaptive control algorithm for power quality improvement in multiple distributed generation system

This study deals with the modified amplitude adaptive notch filter (AANF)-based control algorithm for managing the generated power from different energy sources in an autonomous microgrid. In this study, the autonomous microgrid consists of a wind energy conversion system, photovoltaic array and a s...

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Bibliographic Details
Published in:IET power electronics Vol. 12; no. 9; pp. 2321 - 2329
Main Authors: Kewat, Seema, Singh, Bhim
Format: Journal Article
Language:English
Published: The Institution of Engineering and Technology 07.08.2019
Subjects:
active filters
active power balance
active power flow control
adaptive control
autonomous microgrid
bidirectional DC–DC converter
DC‐DC power convertors
DC‐link voltage
DC‐offset rejection
distributed power generation
dynamic operating condition
electric current control
energy sources
fast frequency estimation
frequency estimation
load current distortion
load flow control
MAANF control algorithm
modified AANF‐based control algorithm
modified amplitude adaptive control algorithm
modified amplitude adaptive notch filter‐based control algorithm
multiple distributed generation system
notch filters
PCC voltage regulation
photovoltaic array
point of common coupling voltage regulation
power generation control
power harmonic filters
power quality improvement
power supply quality
reactive power control
reactive power flow control
reference source currents estimation
Research Article
source current harmonics
steady‐state condition
storage battery
voltage control
voltage source converter
voltage‐source convertors
wind energy conversion system
power quality improvement
load current distortion
power harmonic filters
power generation control
wind energy conversion system
dynamic operating condition
distributed power generation
point of common coupling voltage regulation
modified amplitude adaptive control algorithm
electric current control
notch filters
multiple distributed generation system
reactive power flow control
modified amplitude adaptive notch filter-based control algorithm
bidirectional DC–DC converter
DC-link voltage
source current harmonics
voltage source converter
energy sources
reference source currents estimation
autonomous microgrid
modified AANF-based control algorithm
fast frequency estimation
active power flow control
adaptive control
steady-state condition
active power balance
DC-DC power convertors
frequency estimation
power supply quality
active filters
load flow control
photovoltaic array
voltage-source convertors
DC-offset rejection
MAANF control algorithm
reactive power control
PCC voltage regulation
storage battery
voltage control
ISSN:1755-4535, 1755-4543
Online Access:Get full text
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Description
Summary:This study deals with the modified amplitude adaptive notch filter (AANF)-based control algorithm for managing the generated power from different energy sources in an autonomous microgrid. In this study, the autonomous microgrid consists of a wind energy conversion system, photovoltaic array and a storage battery. The main objective of the proposed modified AANF (MAANF)-based control algorithm is to control the flow of active and reactive powers among the different energy sources and the load, along with the regulation of the point of common coupling (PCC) voltages and mitigation of the source current harmonics. The advanced features of proposed control algorithm are the DC-offset rejection from the input signal and fast frequency estimation, which enable the MAANF control algorithm to rapidly and accurately estimate the fundamental components of the distorted load currents. Therefore, the estimated reference source currents remain immune to the DC offset and various harmonic currents. The active power balance is achieved by regulating the DC-link voltage using a bidirectional DC–DC converter, which is connected between the DC link of the voltage source converter and a storage battery. Test results have validated the control algorithm under various steady-state and dynamic operating conditions.
ISSN:1755-4535
1755-4543
DOI:10.1049/iet-pel.2018.5936