SCIE-Level Research Project: Stability Improvement of Multimachine Power System using DRL-Based Wind–PV Controller (PSCAD)
Budget: ₹12,500 – ₹37,500 INR
Project Details:
Keeping these points into consideration, the following are key objectives of our research:
1. To study and design the standalone two Kundur area system with STATCOM.
2. To design the PV-Wind plant with STATCOM and analyze the stability of the system
3. To introduce the 3-phase fault in the system to insert the disturbances.
4. To design a modern controller to stabilize the oscillations and harmonics reduction of the system.
Paper 1 abstract:
Title: Stability Improvement of Multimachine power system using DRL based Wind-PV-Controller
A significant challenge in modern electric power grids is the stability of power systems, particularly under extreme events such as demand surges and disruptions. Integrating renewable energy into the current system present a viable approach for meeting the growing demand. Furthermore, apart from efficiently meeting the increasing need, these renewable energy systems, with their supplementary circuitry, can substantially improve the stability of the power system. This research suggests a new method that combines deep reinforcement learning (DRL) with a Fractional Order deep Q network (FO-DQN) to address stability problems in multimachine power systems. Incorporating wind and PV systems, which function as STATCOM when necessary, introduces intricacy to the system's dynamics. The proposed DRL based controller facilitates dynamic real-time control of power flow, guaranteeing voltage stability throughout the system. The controller based on DRL is able to autonomously modify the settings of the PV Static Synchronous Compensator (STATCOM) and unified inter-phase power controller (UIPC) operated wind turbine (WT) system. This adjustment helps to provide reactive power compensation and stabilize the system during extreme conditions. This results in a high level of resilience and flexibility. The efficacy of the suggested approach for enhancing stability of multimachine power systems is proven through thorough simulations and comparative analysis. The results demonstrate higher system performance, reduced voltage drop, and optimal reactive power compensation in the presence of diverse operating circumstances and disturbances (fault).
The scope of this project is to develop a new SCIE-level manuscript (simulation on PSCAD+drafting manuscript) based on the extension and reformulation of the previously proposed DRL-based Wind–PV–Controller for objective 4.
Please feel free to share your thoughts openly. In case of any queries or additional requirements You can reach out to us.
Keeping these points into consideration, the following are key objectives of our research:
1. To study and design the standalone two Kundur area system with STATCOM.
2. To design the PV-Wind plant with STATCOM and analyze the stability of the system
3. To introduce the 3-phase fault in the system to insert the disturbances.
4. To design a modern controller to stabilize the oscillations and harmonics reduction of the system.
Paper 1 abstract:
Title: Stability Improvement of Multimachine power system using DRL based Wind-PV-Controller
A significant challenge in modern electric power grids is the stability of power systems, particularly under extreme events such as demand surges and disruptions. Integrating renewable energy into the current system present a viable approach for meeting the growing demand. Furthermore, apart from efficiently meeting the increasing need, these renewable energy systems, with their supplementary circuitry, can substantially improve the stability of the power system. This research suggests a new method that combines deep reinforcement learning (DRL) with a Fractional Order deep Q network (FO-DQN) to address stability problems in multimachine power systems. Incorporating wind and PV systems, which function as STATCOM when necessary, introduces intricacy to the system's dynamics. The proposed DRL based controller facilitates dynamic real-time control of power flow, guaranteeing voltage stability throughout the system. The controller based on DRL is able to autonomously modify the settings of the PV Static Synchronous Compensator (STATCOM) and unified inter-phase power controller (UIPC) operated wind turbine (WT) system. This adjustment helps to provide reactive power compensation and stabilize the system during extreme conditions. This results in a high level of resilience and flexibility. The efficacy of the suggested approach for enhancing stability of multimachine power systems is proven through thorough simulations and comparative analysis. The results demonstrate higher system performance, reduced voltage drop, and optimal reactive power compensation in the presence of diverse operating circumstances and disturbances (fault).
The scope of this project is to develop a new SCIE-level manuscript (simulation on PSCAD+drafting manuscript) based on the extension and reformulation of the previously proposed DRL-based Wind–PV–Controller for objective 4.
Please feel free to share your thoughts openly. In case of any queries or additional requirements You can reach out to us.