Power System Dynamics, Stability, and Control (PSDSC) Research Center
Building: ECC, Room: 407/2, King Mongkut's Institute of Technology Ladkrabang (KMITL), Bangkok 10520, Thailand
We are excited to announce a range of challenging and innovative project topics available at the PSDSC Research Center, Building ECC Room 407/2, KMITL. These topics cover cutting-edge areas of power systems and smart grids, renewable energy integration, and advanced simulation techniques. The Electrical Engineering students at KMITL are encouraged to explore these opportunities and contribute to the development of innovative technologies and solutions in the field of power system dynamics, stability, and control.
This project focuses on developing a flexible monitoring platform (FMP) for reconfigurable microgrids (MGs), which consists of cyber, control, and physical layers. Cyber threat models will be mathematically modeled and are used to test the FMP's performance. The developed platform can collect data from reconfigurable MGs to support control layers even when the system topology is changed. This platform is designed as a control center with intelligent algorithms (i.e., damping stabilizers, state-of-the-art control, neural network, etc.) to detect network changes and reconstruct compromised data. After verification, the complete model will be integrated into our open-source PGAz tool, for further analyses and educational purposes.
The requirements for this project are as follows:
Expected Outputs:
This project develops advanced models for microgrid(MG)-scale electric vehicle (EV) fleets using mathematical scripting in MATLAB. The models focus on the interactions between EVs and power grids, specifically on optimal power flow and small-signal stability. They include key control functions for both EV-side and grid-side converters, allowing precise management of power exchange. The developed models will be integrated with MG-scale storage systems and/or solar photovoltaics to share their benefits with the grid. The models integrate various charging and discharging modes, such as vehicle-to-grid (known as V2G), vehicle-to-load (known as V2L), and unidirectional charging (known as V1G). Moreover, the grid-side converter can be modeled in either forming or following mode, depending on the grid's needs. Demand-side control strategies, such as DC bus and state-of-charge management, are also incorporated to improve grid stability and ensure reliable operation as penetration of inverter-based resource increases. Once completed, the models will be integrated into our open-source PGAz tool for further analysis and educational purpose.
The requirements for this project are as follows:
Expected Outputs:
This project develops a framework that allows inverter-based resources (IBRs) to automatically switch between grid-forming (GFM) and grid-following (GFL) modes based on grid conditions. First, a basic mathematical model for the control platform of IBRs (in either GFM or GFL mode) is developed through scripting. Then, the control framework is developed to dynamically adapt based on system conditions, considering the ability to form or follow the grid. The verification is comprehensively performed using small-signal stability analysis and time-domain simulations to ensure the validity of the models under various grid conditions. The verification is performed in a low-inertia/islanded microgrid with several forming units including changes in grid topology and high penetration of IBRs or other energy resources. Once completed, the models will be integrated into our open-source PGAz tool for further analysis and educational purpose.
The requirements for this project are as follows:
Expected Outputs:
This project focuses on modeling communication in cyber-physical power systems. The models include signal monitoring, analysis, and identification of communication issues. It also covers potential cyber threats that may affect system performance. The main goal is to detect, fix, and prevent these issues to ensure reliable control and monitoring of power grids. Once completed, the models will be integrated into our open-source PGAz tool for further analyses and educational purposes.
The requirements for this project are as follows:
Expected Outputs:
This project addresses the development of power flow algorithms under unbalanced operating conditions, which are increasingly prevalent in modern distribution systems due to high penetration of single-phase distributed energy resources and asymmetrical loads. The mathematical framework involves solving sets of nonlinear algebraic equations derived from the unbalanced network models. The study will explore three-phase unbalanced load flow models, incorporating detailed representations of distribution transformers, voltage regulators, and line configurations. Advanced solution strategies will be proposed to enhance convergence and computational efficiency. The validated methods will be tested across various IEEE benchmarks. Once completed, the models will be integrated into our open-source PGAz tool for further analyses and educational purposes.
The requirements for this project are as follows:
Expected Outputs:
We are excited to announce a range of challenging and innovative project topics available at the PSDSC Research Center, Building ECC Room 407/2, KMITL. These topics cover cutting-edge areas of power systems and smart grids, renewable energy integration, and advanced simulation techniques. The Electrical Engineering students at KMITL are encouraged to explore these opportunities and contribute to the development of innovative technologies and solutions in the field of power system dynamics, stability, and control.
This project focuses on developing advanced models for flexible AC transmission systems (FACTS) to improve the integration of renewable energy (RE) into modern power grids. The project will begin with studying and scripting basic FACTS devices, followed by verification through power flow analysis, small-signal stability assessment, and time-domain simulation. The developed FACTS devices designed for RE integration will be developed and tested in low-inertia grids to demonstrate their effectiveness. The FACTS models created in this project will be integrated into our open-source PGAz tool, for further analyses and educational purposes.
The requirements for this project are as follows:
Expected Outputs:
This project focuses on developing a flexible monitoring platform (FMP) for reconfigurable microgrids (MGs), which consists of cyber, control, and physical layers. Cyber threat models will be mathematically modeled and are used to test the FMP's performance. The developed platform can collect data from reconfigurable MGs to support control layers even when the system topology is changed. This platform is designed as a control center with intelligent algorithms (i.e., damping stabilizers, state-of-the-art control, neural network, etc.) to detect network changes and reconstruct compromised data. After verification, the complete model will be integrated into our open-source PGAz tool, for further analyses and educational purposes.
The requirements for this project are as follows:
Expected Outputs:
This project focuses on scripting AI-based controllers to improve grid stability. The controllers are modeled using different types of artificial neural networks (ANNs). These ANNs can be applied to both conventional generators and inverter-based resources. The controllers, modeled using ANNs, can automatically train themselves by collecting data from various operating conditions and adjust to critical situations accordingly. After that the stability of the system with AI-based controllers is verified through small-signal stability analyses and time-domain simulations. Once completed, they will be integrated to our open-source PGAz tool, for further analyses and educational purposes.
The requirements for this project are as follows:
Expected Outputs:
This project develops advanced models for microgrid(MG)-scale electric vehicle (EV) fleets using mathematical scripting in MATLAB. The models focus on the interactions between EVs and power grids, specifically on optimal power flow and small-signal stability. They include key control functions for both EV-side and grid-side converters, allowing precise management of power exchange. The developed models will be integrated with MG-scale storage systems and/or solar photovoltaics to share their benefits with the grid. The models integrate various charging and discharging modes, such as vehicle-to-grid (known as V2G), vehicle-to-load (known as V2L), and unidirectional charging (known as V1G). Moreover, the grid-side converter can be modeled in either forming or following mode, depending on the grid's needs. Demand-side control strategies, such as DC bus and state-of-charge management, are also incorporated to improve grid stability and ensure reliable operation as penetration of inverter-based resource increases. Once completed, the models will be integrated into our open-source PGAz tool for further analysis and educational purpose.
The requirements for this project are as follows:
Expected Outputs:
This project develops a framework that allows inverter-based resources (IBRs) to automatically switch between grid-forming (GFM) and grid-following (GFL) modes based on grid conditions. First, a basic mathematical model for the control platform of IBRs (in either GFM or GFL mode) is developed through scripting. Then, the control framework is developed to dynamically adapt based on system conditions, considering the ability to form or follow the grid. The verification is comprehensively performed using small-signal stability analysis and time-domain simulations to ensure the validity of the models under various grid conditions. The verification is performed in a low-inertia/islanded microgrid with several forming units including changes in grid topology and high penetration of IBRs or other energy resources. Once completed, the models will be integrated into our open-source PGAz tool for further analysis and educational purpose.
The requirements for this project are as follows:
Expected Outputs:
This project focuses on modeling communication in cyber-physical power systems. The models include signal monitoring, analysis, and identification of communication issues. It also covers potential cyber threats that may affect system performance. The main goal is to detect, fix, and prevent these issues to ensure reliable control and monitoring of power grids. Once completed, the models will be integrated into our open-source PGAz tool for further analyses and educational purposes.
The requirements for this project are as follows:
Expected Outputs:
This project focuses on modeling grid-scale solar-powered electric vehicles (SPEVs). The mathematical differential and algebraic equations for SPEVs are developed, along with their control strategies. These strategies include solar-to-vehicle, sources-to-grid, and grid-to-sourc. Ancillary services from SPEVs for improving grid stability are also proposed. Afterward, stability tests are comprehensively investigated on the SPEV model to analyze its performance in various scenarios. Once completed, the models will be integrated into our open-source PGAz tool for further analyses and educational purposes.
The requirements for this project are as follows:
Expected Outputs:
This project addresses the development of power flow algorithms under unbalanced operating conditions, which are increasingly prevalent in modern distribution systems due to high penetration of single-phase distributed energy resources and asymmetrical loads. The mathematical framework involves solving sets of nonlinear algebraic equations derived from the unbalanced network models. The study will explore three-phase unbalanced load flow models, incorporating detailed representations of distribution transformers, voltage regulators, and line configurations. Advanced solution strategies will be proposed to enhance convergence and computational efficiency. The validated methods will be tested across various IEEE benchmarks. Once completed, the models will be integrated into our open-source PGAz tool for further analyses and educational purposes.
The requirements for this project are as follows:
Expected Outputs:
We are excited to announce opportunities for motivated students to join our PSDSC Research Center for advanced research in cutting-edge areas of power system dynamics, stability, and control.