A remote islanding detection and control strategy for photovoltaic-based distributed generation systems

2015 ◽  
Vol 96 ◽  
pp. 228-241 ◽  
Author(s):  
Gökay Bayrak
Keyword(s):  
Distributed Generation ◽  
Control Strategy ◽  
Islanding Detection ◽  
And Control

Optimal Control of Distributed Generation System: The State of the Art

2013 ◽  
Vol 433-435 ◽  
pp. 1061-1064
Author(s):  
Hai Liu ◽  
Qing Fu Du ◽  
Yong Song ◽  
Wei Guo
Keyword(s):  
Optimal Control ◽  
Distributed Generation ◽  
Control Strategy ◽  
State Of The Art ◽  
The State ◽  
Generation System ◽  
Modeling And Analysis ◽  
Optimal Dispatch ◽  
Research Orientations ◽  
And Control

This paper presents a detailed review of the existing methods of the optimal control of distributed generation system and the state of the art of current research. The research of the optimal control of distributed generation system is summarized in terms optimal dispatch and control strategy. The approach of modeling and analysis for distributed generation system is described in detail. The key difficulties of the theory and technique about the optimal control of distributed generation system are analyzed. The current issues about the optimal control of the system are pointed out at last, and the research orientations of the optimal control of distributed generation system are presented.

scholarly journals An Islanding Detection and Control Strategy to Realize the Stable and Autonomous Operation of Microgrids Using the Virtual Synchronous Generator

2021 ◽  
Vol 9 (11) ◽  
pp. 1315-1333
Author(s):  
Illuru Sree Lakshmi
Keyword(s):  
Neural Network ◽  
Control Strategy ◽  
Synchronous Generator ◽  
Islanding Detection ◽  
Neural Network Approach ◽  
Autonomous Operation ◽  
The Neural Network ◽  
Control Stability ◽  
And Control ◽  
Virtual Synchronous Generator

Abstract: An islanding detection and based control strategy is created in this exploration to accomplish the steady and independent activity of microgrids using the neural network based Virtual Synchronous Generator (VSG) idea during unplanned grid reconfigurations . Maybe of utilizing a design-orientedmethodology, this paper gives a rigorous and extensive hypothetical investigation and reaches a concise conclusion that is easy to execute and successful even in complex situations. Based on the results of the mutation sequence and voltage wavering, a neural network based islanding identification calculation is proposed, which requires less constraint strategy. The proposed neural network approach outperforms the thefrequency measured passive detection method in terms of detection speed and reliability. Broad recreations affirm the reasonableness of the proposed islanding location and control methodology. Additionally, think about the results of the reproductions for the PI regulator, fluffy organizations, and neural organizations. Keywords: Virtual Synchronous Generator, Islanding detection, Islanding operation, Droop control, Stability, Microgrids.

scholarly journals Wide area monitoring, protection, and control application in islanding detection for grid integrated distributed generation: A review

2021 ◽  
pp. 002029402198976
Author(s):  
Onkemetse Tshenyego ◽  
Ravi Samikannu ◽  
Bokani Mtengi
Keyword(s):  
Distributed Generation ◽  
Electric Power System ◽  
Wide Area ◽  
Computational Time ◽  
Islanding Detection ◽  
Wide Area Monitoring ◽  
High Penetration ◽  
Protection And Control ◽  
And Control ◽  
Area Monitoring

The assimilation of Distributed Generation (DG) into the electric power system (EPS) has become more attractive as the world is following a trend to reduce greenhouse gas emissions by introducing more renewable energy forms resulting in high penetration scenarios. This high penetration of DGs brings several challenges to the protection philosophy of the EPS which compromises its reliability, availability, and efficiency. Under high DG penetration scenarios, conventional islanding detection methods (Idms) fail to detect an island as the grid loses its inertia to leverage a significant frequency and voltage mismatch necessary for Idms to effectively detect an islanding event. This has given rise to the birth of Artificial Intelligent (AI) methods that are found to perform better in islanding detection. AI Idms are computationally intensive and require a lot of data to operate accurately. Because the computational burden of these methods requires fast computing hardware, the current trend of AI Idms are integrated with Wide Area Monitoring, Protection, and Control (WAMPAC) system. This paper aims at reviewing all these Idms and the WAMPAC’s system latency when hosting AI Idms which are currently the best in islanding detection. This is done to determine if the WAMPAC system latency plus Idms computational time meet the islanding detection time specified by the IEEE Standard 1547 framework.

Dry chip feedrate control using online chip moisture

TAPPI Journal ◽  
2018 ◽  
Vol 17 (05) ◽  
pp. 295-305
Author(s):  
Wesley Gilbert ◽  
Ivan Trush ◽  
Bruce Allison ◽  
Randy Reimer ◽  
Howard Mason
Keyword(s):  
Production Rate ◽  
Control Strategy ◽  
Rate Control ◽  
Near Infrared ◽  
Dry Mass ◽  
The Other ◽  
Process Variability ◽  
Moisture Sensor ◽  
Feedback Control Strategy ◽  
And Control

Normal practice in continuous digester operation is to set the production rate through the chip meter speed. This speed is seldom, if ever, adjusted except to change production, and most of the other digester inputs are ratioed to it. The inherent assumption is that constant chip meter speed equates to constant dry mass flow of chips. This is seldom, if ever, true. As a result, the actual production rate, effective alkali (EA)-to-wood and liquor-to-wood ratios may vary substantially from assumed values. This increases process variability and decreases profits. In this report, a new continuous digester production rate control strategy is developed that addresses this shortcoming. A new noncontacting near infrared–based chip moisture sensor is combined with the existing weightometer signal to estimate the actual dry chip mass feedrate entering the digester. The estimated feedrate is then used to implement a novel feedback control strategy that adjusts the chip meter speed to maintain the dry chip feedrate at the target value. The report details the results of applying the new measurements and control strategy to a dual vessel continuous digester.

A power management and control strategy with grid-ancillary services for a microgrid based on DC Bus

2014 ◽  
Vol 9 (4) ◽  
pp. 792 ◽  
Author(s):  
Anna Pinnarelli ◽  
Giuseppe Barone ◽  
Giovanni Brusco ◽  
Alessandro Burgio ◽  
Daniele Menniti ◽  
...  
Keyword(s):  
Power Management ◽  
Control Strategy ◽  
Ancillary Services ◽  
Dc Bus ◽  
And Control
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