A Cyber-Physical Photovoltaic Array Monitoring and Control System

2017 ◽  
Vol 5 (3) ◽  
pp. 33-56 ◽  
Author(s):  
Gowtham Muniraju ◽  
Sunil Rao ◽  
Sameeksha Katoch ◽  
Andreas Spanias ◽  
Cihan Tepedelenlioglu ◽  
...  
Keyword(s):  
Solar Panel ◽  
Cyber Physical System ◽  
Monitoring And Control ◽  
Monitoring And Control System ◽  
Renewable Energy Systems ◽  
Photovoltaic Array ◽  
Distributed Approach ◽  
Secure Authentication ◽  
And Control ◽  
Utility Scale

A cyber physical system approach for a utility-scale photovoltaic (PV) array monitoring and control is presented in this article. This system consists of sensors that capture voltage, current, temperature, and irradiance parameters for each solar panel which are then used to detect, predict and control the performance of the array. More specifically the article describes a customized machine-learning method for remote fault detection and a computer vision framework for cloud movement prediction. In addition, a consensus-based distributed approach is proposed for resource optimization, and a secure authentication protocol that can detect intrusions and cyber threats is presented. The proposed system leverages video analysis of skyline imagery that is used along with other measured parameters to reconfigure the solar panel connection topology and optimize power output. Additional benefits of this cyber physical approach are associated with the control of inverter transients. Preliminary results demonstrate improved efficiency and robustness in renewable energy systems using advanced cyber enabled sensory analysis and fusion devices and algorithms.

A Cyber-Physical Photovoltaic Array Monitoring and Control System

2020 ◽  
pp. 786-807 ◽  
Author(s):  
Gowtham Muniraju ◽  
Sunil Rao ◽  
Sameeksha Katoch ◽  
Andreas Spanias ◽  
Cihan Tepedelenlioglu ◽  
...  
Keyword(s):  
System Approach ◽  
Solar Panel ◽  
Machine Learning Method ◽  
Monitoring And Control ◽  
Monitoring And Control System ◽  
Photovoltaic Array ◽  
Distributed Approach ◽  
Secure Authentication ◽  
And Control ◽  
Utility Scale

A cyber physical system approach for a utility-scale photovoltaic (PV) array monitoring and control is presented in this article. This system consists of sensors that capture voltage, current, temperature, and irradiance parameters for each solar panel which are then used to detect, predict and control the performance of the array. More specifically the article describes a customized machine-learning method for remote fault detection and a computer vision framework for cloud movement prediction. In addition, a consensus-based distributed approach is proposed for resource optimization, and a secure authentication protocol that can detect intrusions and cyber threats is presented. The proposed system leverages video analysis of skyline imagery that is used along with other measured parameters to reconfigure the solar panel connection topology and optimize power output. Additional benefits of this cyber physical approach are associated with the control of inverter transients. Preliminary results demonstrate improved efficiency and robustness in renewable energy systems using advanced cyber enabled sensory analysis and fusion devices and algorithms.

A Cyber-Physical Photovoltaic Array Monitoring and Control System

2020 ◽  
pp. 978-1000
Author(s):  
Gowtham Muniraju ◽  
Sunil Rao ◽  
Sameeksha Katoch ◽  
Andreas Spanias ◽  
Cihan Tepedelenlioglu ◽  
...  
Keyword(s):  
System Approach ◽  
Solar Panel ◽  
Machine Learning Method ◽  
Monitoring And Control ◽  
Monitoring And Control System ◽  
Photovoltaic Array ◽  
Distributed Approach ◽  
Secure Authentication ◽  
And Control ◽  
Utility Scale

A cyber physical system approach for a utility-scale photovoltaic (PV) array monitoring and control is presented in this article. This system consists of sensors that capture voltage, current, temperature, and irradiance parameters for each solar panel which are then used to detect, predict and control the performance of the array. More specifically the article describes a customized machine-learning method for remote fault detection and a computer vision framework for cloud movement prediction. In addition, a consensus-based distributed approach is proposed for resource optimization, and a secure authentication protocol that can detect intrusions and cyber threats is presented. The proposed system leverages video analysis of skyline imagery that is used along with other measured parameters to reconfigure the solar panel connection topology and optimize power output. Additional benefits of this cyber physical approach are associated with the control of inverter transients. Preliminary results demonstrate improved efficiency and robustness in renewable energy systems using advanced cyber enabled sensory analysis and fusion devices and algorithms.

DEVELOPMENT OF COMPUTERIZED MONITORING AND CONTROL SYSTEM OF THE MOBILE ROBOT’S POSITIONING ON LARGE FERROMAGNETIC SURFACES BASED ON INTELLIGENT TECHNIQUES. COMPLEX OF TASKS OF MONITORING AND AUTOMATIC CONTROL OF MOBILE

2019 ◽  
pp. 37-47
Author(s):  
Yao Yueqin ◽  
Oleksiy Kozlov ◽  
Oleksandr Gerasin ◽  
Galyna Kondratenko
Keyword(s):  
Automatic Control ◽  
Point Of View ◽  
Monitoring And Control ◽  
Large Area ◽  
Monitoring And Control System ◽  
Technical Parameters ◽  
Automatic Control Systems ◽  
Current State ◽  
Computerized Monitoring ◽  
And Control

Analysis and formalization of the monitoring and automatic control tasks of the MR for the movement and execution of various types of technological operations on inclined and vertical ferromagnetic surfaces are obtained. Generalized structure of mobile robotic complex is shown with main subsystems consideration. Critical analysis of the current state of the problem of development of universal structures of mobile robots (MRs) for the various types of technological operations execution and elaborations of computerized systems for monitoring and control of MR movement is done. In particular, wheeled, walked and crawler type MRs with pneumatic, vacuum-propeller, magnetic and magnetically operated clamping devices to grip with vertical and ceiling surfaces are reviewed. The constructive features of the crawler MR with magnetic clamping devices capable of moving along sloping ferromagnetic surfaces are considered. The basic technical parameters of the MR are shown for the further synthesis of computerized monitoring and automatic control systems. Formalization of the tasks of monitoring and control of the MR positioning at the processing of large area ferromagnetic surfaces is considered from the point of view of control theory.

DEVELOPMENT OF COMPUTERIZED MONITORING AND CONTROL SYSTEM OF THE MOBILE ROBOT’S POSITIONING ON LARGE FERROMAGNETIC SURFACES BASED ON INTELLIGENT TECHNIQUES. AUTOMATION OF THE MONITORING AND CONTROL PROCESSES OF MOBILE ROBOT FOR PROCESSING OF LARGE INCLINED SURFACES

2019 ◽  
pp. 41-48
Author(s):  
Yan Guojun ◽  
Oleksiy Kozlov ◽  
Oleksandr Gerasin ◽  
Galyna Kondratenko
Keyword(s):  
Control System ◽  
Mobile Robot ◽  
Functional Structure ◽  
Monitoring And Control ◽  
Technological Parameters ◽  
Monitoring And Control System ◽  
Inclined Surfaces ◽  
Computerized Monitoring ◽  
And Control ◽  
Tracked Mobile Robot

The article renders the special features of the design of a tracked mobile robot (MR) for moving over inclined ferromagnetic surfaces while performing specified technological operations. There is conducted a synthesis of the functional structure and selective technological parameters (such as control coordinates) of the computerized monitoring and control system (CMCS) intended for use with this MR. Application of the CMCS with the proposed functional structure allows substantially increasing the accuracy of the MR monitoring and control, which in turn provides for a considerable enhancement in the quality and economic efficiency of the operations on processing of large ferromagnetic surfaces.

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