A Neural Network-Based Model Reference Control Architecture for Oscillation Damping in Interconnected Power System

Uddin, Waqar; Zeb, Nadia; Zeb, Kamran; Ishfaq, Muhammad; Khan, Imran; Islam, Saif ul; Tanoli, Ayesha; Haider, Aun; Kim, Hee-Je; Park, Gwan Soo

doi:10.3390/en12193653

Cited by 5 publications

(4 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the EDC, eigenvalues are analyzed using a theory of modal control to determine their complex eigenvalues. In [31,32] the matrices of the state space and the transfer function are listed.…”

Section: The External Damping Controller Of Statcommentioning

confidence: 99%

Enhancing the Dynamic Stability of Integrated Offshore Wind Farms and Photovoltaic Farms Using STATCOM with Intelligent Damping Controllers

Lu,

Rao

2023

Sustainability

View full text Add to dashboard Cite

To build a large-scale renewable energy integrated system in the power system, power fluctuation mitigation and damping measures must be implemented during grid connection. PID damping controllers and traditional intelligent controllers with pole configuration are usually used for improving damping. Integration of large wind power plants and photovoltaic power plants into the power system faces transient power oscillation and fault ride-through (FRT) capability under fault conditions. Therefore, this paper proposes a static synchronous compensator (STATCOM) damper based on a recurrent Petri fuzzy probabilistic neural network (RPFPNN) to improve the transient stability of the power system when large offshore wind farms and photovoltaic power plants are integrated into the power system, suppress power fluctuation, and increase FRT capability. To verify the effectiveness of the proposed control scheme, a three-phase short circuit fault at the connected busbar is modeled in the time domain as part of a nonlinear model. From the comparison of simulation results, the proposed control scheme can effectively slow down the transient fluctuation of power supply to the grid-connected point when the grid is faulty, reach steady-state stability within 1–1.5 s, and reduce overshoot by more than 50%. It can also provide system voltage support at an 80% voltage drop and assist in stabilizing the system voltage to increase FRT capability. It also improves stability more than PID controllers when disturbances are present. Therefore, it maximizes the stability and safety of the power grid system.

show abstract

Section: The External Damping Controller Of Statcommentioning

confidence: 99%

Enhancing the Dynamic Stability of Integrated Offshore Wind Farms and Photovoltaic Farms Using STATCOM with Intelligent Damping Controllers

Lu,

Rao

2023

Sustainability

View full text Add to dashboard Cite

show abstract

“…However, this combination of damping controllers needs precision; otherwise, the entire power system stability may be negatively affected [118,119]. The collaborative design of PSS and FACTS has been the subject of numerous studies [120][121][122][123][124].…”

Section: Facts-based Dampingmentioning

confidence: 99%

“…The damping strategy for artificial intelligence (AI) has been the subject of recent research [124][125][126][127]. These intelligent controllers can learn from the system where there are deployed and adapt to improve the system's overall performance in damping oscillations.…”

Section: Artificial Intelligencementioning

confidence: 99%

Solar, Wind and Their Hybridization Integration for Multi-Machine Power System Oscillation Controllers Optimization: A Review

et al. 2022

View full text Add to dashboard Cite

Massive growth in global electrical energy demand has necessitated a genuine exploration and integration of solar and wind energy into the electrical power mix. This incorporation goes a long way in improving the cumulative generated power capacity of the power system. However, wind and solar photovoltaic (PV) are intermittent in nature, making the provisioning of a good maximum power tracking (MPPT) scheme necessary. Furthermore, the integration is characterized by synchronization challenges and introduces various modes of power system oscillations as it is converter-driven. This greatly affects the overall stability of the integrated power mix. Consequently, various technological models have been designed to address these challenges ranging from MPPT schemes, phase-lock loop (PLL), virtual synchronous generator (VSG), power system stabilizers (PSS), flexible AC transmission system (FACTS), coordinated control and artificial intelligence (AI). In this work, a multi-machine power system model is reviewed for integration stability studies. Various technical solutions associated with the integration are also reviewed. MPPT, PLL, VSG, PSS, FACTS, coordinated control, and various optimization technique schemes used for damping controller design are discussed.

show abstract

“…In this paper, the root locus is used to decide the variables to upgrade the steadiness of the HPS, after linearizing the nonlinear systematic equation at a specific operating point, the matrix of a set of linear system equations is obtained as [19,20]:…”

Section: Pid Damping Controllermentioning

confidence: 99%

Enhanced Dynamic Performance in Hybrid Power System Using a Designed ALTS-PFPNN Controller

Hong

Cheng

2022

Energies

View full text Add to dashboard Cite

The large-scale, nonlinear and uncertain factors of hybrid power systems (HPS) have always been difficult problems in dynamic stability control. This research mainly focuses on the dynamic and transient stability performance of large HPS under various operating conditions. In addition to the traditional synchronous power generator, wind-driven generator and ocean wave generator, the hybrid system also adds battery energy storage system and unified power flow controller (UPFC), making the system more diversified and more consistent with the current actual operation mode of the complex power grid. The purpose of this study is to propose an adaptive least squares Petri fuzzy probabilistic neural network (ALTS-PFPNN) for UPFC installed in the power grid to enhance the behavior of HPS operation. The proposed scheme improves the active power adjustment and dynamic performance of the integrated wave power generation and offshore wind system under a large range of operating conditions. Through various case studies, the practicability and robustness of ALTS-PFPNN method are verifying it by comparison and analysis with the damping controller based on the designed proportional integral differential (PID) and the control scheme without UPFC. Time-domain simulations were performed using Matlab-Simulink to validate the optimal damping behavior and efficiency of the suggested scheme under various disturbance conditions.

show abstract

A Neural Network-Based Model Reference Control Architecture for Oscillation Damping in Interconnected Power System

Cited by 5 publications

References 29 publications

Enhancing the Dynamic Stability of Integrated Offshore Wind Farms and Photovoltaic Farms Using STATCOM with Intelligent Damping Controllers

Enhancing the Dynamic Stability of Integrated Offshore Wind Farms and Photovoltaic Farms Using STATCOM with Intelligent Damping Controllers

Solar, Wind and Their Hybridization Integration for Multi-Machine Power System Oscillation Controllers Optimization: A Review

Enhanced Dynamic Performance in Hybrid Power System Using a Designed ALTS-PFPNN Controller

Contact Info

Product

Resources

About