Dissertation
FAULT RESILIENT POWER SYSTEM THROUGH HIERARCHICAL CONTROL OF ENERGY STORAGE SYSTEMS AND FACTS DEVICES
Doctor of Philosophy (PhD), Washington State University
01/2019
Handle:
https://hdl.handle.net/2376/17905
Abstract
The control of large-scale power systems is hierarchical in terms of actions taken and their response time. For a system subject to faults, primary control actions are taken immediately to maintain the stability of the network in a time scale as small as microseconds. Automatic control also consists of secondary control which tries to bring the system into normal operating state. Secondary control scheme ensures that proper remedial control actions are taken after a short period of fault occurrence to bring the network operating limits to secure ranges.
Primary control schemes are mainly based on available control options at the generating units such as governor and excitation control of synchronous generators. However, for a given power system only one control action might not be adequate in case of sever contingencies. As new elements such as energy storage system (ESS) are being added to the grid, a unified control algorithm is required to coordinate the available control options at the generating units and maintain the system stability. This dissertation investigates the integration of ESSs to generating substations and develops a coordinate framework for ESS and synchronous generator controllers to enhance the transient stability of the system. A slower control scheme is also developed which performs corrective actions in order to ensure secure ranges for network operational limits and bring the system back to normal operating point. The proposed corrective algorithm exploits a piecewise linear approximation of optimal power flow problem to coordinate available control option including generator rescheduling, load shedding, and controlling FACTS devices.
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Details
- Title
- FAULT RESILIENT POWER SYSTEM THROUGH HIERARCHICAL CONTROL OF ENERGY STORAGE SYSTEMS AND FACTS DEVICES
- Creators
- Mohammadali Rostami
- Contributors
- Saeed Lotfifard (Advisor)
- Awarding Institution
- Washington State University
- Academic Unit
- School of Electrical Engineering and Computer Science
- Theses and Dissertations
- Doctor of Philosophy (PhD), Washington State University
- Number of pages
- 78
- Identifiers
- 99900581705201842
- Language
- English
- Resource Type
- Dissertation