Power System Stability Enhancement through Data Center Ancillary Services

• Main Author: Ali, Muhammad
• Format: Others
• Published: North Dakota State University 2018
• Online Access: https://hdl.handle.net/10365/27636

The primary objective of a control system is stability and steady-state performance under varying dynamics, such as faults and disturbances. The stable power system should continue to function properly in case of faults and disturbances. Stability of the power systems find applications in various domains, such as power delivery through Permanent Magnet Synchronous Generator (PMSG), Doubly-Fed Induction Generator (DFIG), and data centers. The goal of this dissertation is to design a robust control for a power system. We propose a hybrid Fault-Ride-Through (FRT) strategy for DFIG and two new PMSG grid-interfaced models, named PMSG Boost and PMSG Rectifier-Inverter. We analyze the aforesaid system using symmetrical and asymmetrical grid faults and observe the following parameters: (a) voltage support, (b) active and reactive power support, (c) stringent grid-code conduct, (d) overvoltage and overcurrent protection of rotor and stator, and (e) damped rotor oscillations in current and voltage. On the other side, we also propose a bi-directional model for power system and data centers. The goal of this research work is to increase the steady-state performance of the power system through computational capabilities of the data centers. Enormous energy consumption of data centers has a major impact on power systems by significantly increasing the electrical load. Due to the increase in electrical load, power systems are facing demand and supply miss-management problems. Therefore, power systems require fast and intelligent ancillary services to maintain robustness, reliability, and stability. Power system jobs will make this situation even more critical for data centers. In our work, we seek an Ancillary Services Model (ASM) to service data centers and power systems. In ASM, we find an optimal job scheduling technique for executing power systems’ jobs on data centers in terms of low power consumption, reduced makespan, and fewer preempted jobs. The power systems’ jobs include Optimal Power Flow (OPF) calculation, transmission line importance index, and bus importance index. Furthermore, a Service Level Agreement (SLA) between data centers and power systems is shown to provide mutual benefits.