Power Systems Digital Twin under Measurement and Model Uncertainties: Network Parameter Tuning Approach

2021 ◽  
Author(s):  
Jelke Wibbeke ◽  
Mohannad Aldebs ◽  
Davood Babazadeh ◽  
Payam Teimourzadeh Baboli ◽  
Sebastian Lehnhoff
Keyword(s):  
Power Systems ◽  
Parameter Tuning ◽  
Model Uncertainties ◽  
Network Parameter ◽  
Digital Twin

scholarly journals A Network Parameter Database False Data Injection Correction Physics-Based Model: A Machine Learning Synthetic Measurement-Based Approach

2021 ◽  
Vol 11 (17) ◽  
pp. 8074
Author(s):  
Tierui Zou ◽  
Nader Aljohani ◽  
Keerthiraj Nagaraj ◽  
Sheng Zou ◽  
Cody Ruben ◽  
...  
Keyword(s):  
Machine Learning ◽  
Power Systems ◽  
State Of The Art ◽  
Real Life ◽  
The State ◽  
Wide Area ◽  
Network Parameter ◽  
False Data Injection ◽  
Network Parameters ◽  
Injection Attacks

Concerning power systems, real-time monitoring of cyber–physical security, false data injection attacks on wide-area measurements are of major concern. However, the database of the network parameters is just as crucial to the state estimation process. Maintaining the accuracy of the system model is the other part of the equation, since almost all applications in power systems heavily depend on the state estimator outputs. While much effort has been given to measurements of false data injection attacks, seldom reported work is found on the broad theme of false data injection on the database of network parameters. State-of-the-art physics-based model solutions correct false data injection on network parameter database considering only available wide-area measurements. In addition, deterministic models are used for correction. In this paper, an overdetermined physics-based parameter false data injection correction model is presented. The overdetermined model uses a parameter database correction Jacobian matrix and a Taylor series expansion approximation. The method further applies the concept of synthetic measurements, which refers to measurements that do not exist in the real-life system. A machine learning linear regression-based model for measurement prediction is integrated in the framework through deriving weights for synthetic measurements creation. Validation of the presented model is performed on the IEEE 118-bus system. Numerical results show that the approximation error is lower than the state-of-the-art, while providing robustness to the correction process. Easy-to-implement model on the classical weighted-least-squares solution, highlights real-life implementation potential aspects.

Parameter Tuning for dynamic Digital Twin of Generation Unit in Power Grid

2021 ◽  
Author(s):  
Xinya Song ◽  
Hui Cai ◽  
Teng Jiang ◽  
Steffen Schlegel ◽  
Dirk Westermann
Keyword(s):  
Power Grid ◽  
Parameter Tuning ◽  
Digital Twin ◽  
Generation Unit

scholarly journals IoT-Based Digital Twin for Energy Cyber-Physical Systems: Design and Implementation

Energies ◽  
2020 ◽  
Vol 13 (18) ◽  
pp. 4762 ◽  
Author(s):  
Ahmed Saad ◽  
Samy Faddel ◽  
Osama Mohammed
Keyword(s):  
Power Systems ◽  
Systems Design ◽  
Cyber Physical Systems ◽  
Superior Performance ◽  
Physical Systems ◽  
Digital Twin ◽  
Power And Control ◽  
Amazon Web Services ◽  
High Bandwidth ◽  
And Control

With the emergence of distributed energy resources (DERs), with their associated communication and control complexities, there is a need for an efficient platform that can digest all the incoming data and ensure the reliable operation of the power system. The digital twin (DT) is a new concept that can unleash tremendous opportunities and can be used at the different control and security levels of power systems. This paper provides a methodology for the modelling of the implementation of energy cyber-physical systems (ECPSs) that can be used for multiple applications. Two DT types are introduced to cover the high-bandwidth and the low-bandwidth applications that need centric oversight decision making. The concept of the digital twin is validated and tested using Amazon Web Services (AWS) as a cloud host that can incorporate physical and data models as well as being able to receive live measurements from the different actual power and control entities. The experimental results demonstrate the feasibility of the real-time implementation of the DT for the ECPS based on internet of things (IoT) and cloud computing technologies. The normalized mean-square error for the low-bandwidth DT case was 3.7%. In the case of a high-bandwidth DT, the proposed method showed superior performance in reconstructing the voltage estimates, with 98.2% accuracy from only the controllers’ states.

scholarly journals Application of the First Replica Controller in Korean Power Systems

Energies ◽  
2020 ◽  
Vol 13 (13) ◽  
pp. 3343 ◽  
Author(s):  
Jiyoung Song ◽  
Seungchan Oh ◽  
Jaegul Lee ◽  
Jeonghoon Shin ◽  
Gilsoo Jang
Keyword(s):  
Power Systems ◽  
Power System ◽  
Large Scale ◽  
Performance Test ◽  
Dynamic Performance ◽  
Parameter Tuning ◽  
Electric Utility ◽  
Acceptance Test ◽  
Thyristor Controlled Series Compensator ◽  
Practical Field

The purpose of this paper is to introduce, examine, and evaluate the industrial experiences and effectiveness of a Thyristor Controlled Series Compensator (TCSC) replica controller installed in Korea in 2019 through a review of its configuration, test platform, and practical application, and further to propose operational guidelines for replica controllers. Four representative practical cases were conducted: a Dynamic Performance Test (DPT) under a sufficiently large-scale power system prior to the Site Acceptance Test (SAT), pre-verification for on-site controller modification during operation stage, parameter tuning to mitigate the control interaction, and time domain simulation for Sub-Synchronous Torsional Interaction (SSTI). None of these four cases can be performed in a Factory Acceptance Test (FAT) or on-site. Therefore, TCSC control performance was accurately verified under the entire Korean power system based on a large-scale real-time simulator, which demonstrated its effectiveness as a powerful tool for operations including multiple power electronics devices. Our review herein of these four practical cases is expected to show the usefulness of replica controllers, to demonstrate their strength to deal with practical field events, and to contribute to the further expansion of the application area from a perspective of electric utility.

scholarly journals Structured controller parameter tuning for power systems

2020 ◽  
Vol 101 ◽  
pp. 104490
Author(s):  
Amer Mešanović ◽  
Ulrich Münz ◽  
Andrei Szabo ◽  
Martin Mangold ◽  
Joachim Bamberger ◽  
...  
Keyword(s):  
Power Systems ◽  
Parameter Tuning ◽  
Controller Parameter

scholarly journals Digital Twins-Assisted Design of Next-Generation Advanced Controllers for Power Systems and Electronics: Wind Turbine as a Case Study

Inventions ◽  
2020 ◽  
Vol 5 (2) ◽  
pp. 19 ◽  
Author(s):  
Meisam Jahanshahi Zeitouni ◽  
Ahmad Parvaresh ◽  
Saber Abrazeh ◽  
Saeid-Reza Mohseni ◽  
Meysam Gheisarnejad ◽  
...  
Keyword(s):  
Power Systems ◽  
Wind Turbine ◽  
Dynamic Performance ◽  
Adaptive Controller ◽  
Fitness Evaluation ◽  
Digital Twin ◽  
Speed Error ◽  
Policy Gradient ◽  
The Difference ◽  
Output Behavior

This paper proposes a novel adaptive controller based on digital twin (DT) by integrating software-in-loop (SIL) and hardware-in-loop (HIL). This work aims to reduce the difference between the SIL controller and its physical controller counterpart using the DT concept. To highlight the applicability of the suggested methodology, the regulation control of a horizontal variable speed wind turbine (WT) is considered for the design and assessment purposes. In the presented digital twin framework, the active disturbance rejection controller (ADRC) is implemented for the pitch angle control of the WT plant in both SIL and HIL environments. The design of the ADRC controllers in the DT framework is accomplished by adopting deep deterministic policy gradient (DDPG) in two stages: ( i ) by employing a fitness evaluation of wind speed error, the internal coefficients of HIL controller are adjusted based on DDPG for the regulation of WT plant, and ( ii ) the difference between the rotor speed waveforms in HIL and SIL are reduced by DDPG to obtain a similar output behavior of the system in these environments. Some examinations based on DT are conducted to validate the effectiveness, high dynamic performance, robustness and adaptability of the suggested method in comparison to the prevalent state-of-the-art techniques. The suggested controller is seen to be significantly more efficient especially in the compensation of high aerodynamic variations, unknown uncertainties and also mechanical stresses on the plant drive train.

A Generalized Parameter Tuning Method of Proportional-Resonant Controllers for Dynamic Voltage Restorers

2018 ◽  
Vol 9 (4) ◽  
pp. 1709
Author(s):  
Phuong Vu ◽  
Ngoc Dinh ◽  
Nam Hoang ◽  
Quan Nguyen ◽  
Dich Nguyen ◽  
...  
Keyword(s):  
Power Systems ◽  
Design Method ◽  
Parameter Tuning ◽  
Voltage Source ◽  
Voltage Sags ◽  
Phase Voltage ◽  
Dynamic Voltage Restorer ◽  
Tuning Method ◽  
Double Phase ◽  
Dynamic Voltage

<span lang="EN-US">Temporary voltage swells and sags appear with high frequency in electric power systems, and they significantly affect sensitive loads such as industrial manufacturing or communication devices. This paper presents a strategy to design proportional-resonant controllers for three full-bridge voltage-source converters with a common DC-link in dynamic voltage restorer systems. The proposed controllers allow the system to quickly overcome temporary unbalanced voltage sags. Simulation results carried out in MATLAB/Simulink and experimental results implemented in a Typhoon HIL402 device demonstrate the ability of the proposed design method. The results show that the system with the proposed controllers can ride-through single-phase or double-phase voltage sags up to 55% and three-phase voltage sags up to 70% in a duration less than one grid-voltage cycle.</span>

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