This paper proposes a novel energy storage system planning method with real time control. Sensitivity analysis is used to linearize the real power change in each certain generator brought by wind and ESS power change in system. Particle Swarm Optimization (PSO) is modified to include the real power change percentage as a constraint, and used to determine optimum ESS size and location. After extensive tests, it shows that this method can determine the optimum sizes and locations for ESS which can effectively keep the disturbance on generators in a system to the minimum while maintaining an acceptable system voltage profile after a sudden wind power drop
Model Predictive Control (MPC) is a control technique that uses prediction data to optimize costs ov...
This project was conducted to analyze (model and simulate) and optimize an electric motor based driv...
This thesis investigated the management of electric vehicle battery charging in distribution network...
The spread of renewable energy sources and electric vehicles is increasing thanks to the greater awa...
This thesis reviews plasma technology, pulsed power technology, basic structures of pulsed power gen...
The grantee designed a high power (over 1MW) inverter for use in renewable and distributed energy sy...
In this thesis, a detailed interaction analysis between the internal grid of a Photovoltaic ( PV ) p...
Modern military aircraft are developing larger pulsed power loads varying from new weapon technologi...
Technical improvements and scaling have resulted in a significant reduction in solar photovoltaic (P...
Advisor: Dr. Brian StoneThe traditional electrical power system model in the U.S. involves centrally...
The improvement of energy system performance has led to the development of efficient dynamic compres...
The storage volumes are often limited in terms of availability. Since volume is expensive, optimizin...
With the increasing trend of utilizing renewable energy generators such as photovoltaic (PV) cells a...
This thesis proposes an uninterruptible power supply, UPS for high availability servers with fuel ce...
The secure and economic operation of the future power system is facing major challenges. These chall...
Model Predictive Control (MPC) is a control technique that uses prediction data to optimize costs ov...
This project was conducted to analyze (model and simulate) and optimize an electric motor based driv...
This thesis investigated the management of electric vehicle battery charging in distribution network...
The spread of renewable energy sources and electric vehicles is increasing thanks to the greater awa...
This thesis reviews plasma technology, pulsed power technology, basic structures of pulsed power gen...
The grantee designed a high power (over 1MW) inverter for use in renewable and distributed energy sy...
In this thesis, a detailed interaction analysis between the internal grid of a Photovoltaic ( PV ) p...
Modern military aircraft are developing larger pulsed power loads varying from new weapon technologi...
Technical improvements and scaling have resulted in a significant reduction in solar photovoltaic (P...
Advisor: Dr. Brian StoneThe traditional electrical power system model in the U.S. involves centrally...
The improvement of energy system performance has led to the development of efficient dynamic compres...
The storage volumes are often limited in terms of availability. Since volume is expensive, optimizin...
With the increasing trend of utilizing renewable energy generators such as photovoltaic (PV) cells a...
This thesis proposes an uninterruptible power supply, UPS for high availability servers with fuel ce...
The secure and economic operation of the future power system is facing major challenges. These chall...
Model Predictive Control (MPC) is a control technique that uses prediction data to optimize costs ov...
This project was conducted to analyze (model and simulate) and optimize an electric motor based driv...
This thesis investigated the management of electric vehicle battery charging in distribution network...