Modelling and Stability of Power Networks with Renewable Generation
Summary
Most investigations on the impact of renewables on grid stability consider one stability type and one basic network. Our aim is to develop principles that can be used to help design future grids that are resilient in the sense of all stability requirements to changing generation type and placement. This raises several challenges that require a substantial rethinking of power system stability analysis. We will be guided by ideas in complex network studies where sensitivity to key network features including structure, device dynamics and coupling strengths are all studied side-by-side. One initial hurdle is how to replace the well-known load models to include demand-response and storage features.
Supervisor(s)
Professor David John Hill, Dr Gregor Verbic
Research Location
Electrical and Information Engineering
Program Type
Masters/PHD
Synopsis
Initially, we have four project areas to consider:
- Demand-side modelling
- Sensitivity analysis
- Vulnerable points
- Stability margins
Additional Information
The supervisors have extensive experience in research on all types of power system stability from basic theory for direct methods to practical applications in several countries. Our intention is to redevelop key methods to be applicable for high renewable penetration.
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Keywords
Power system stability, Impact of renewables, voltage stability, system damping, frequency response; Power system synchronism, stability analysis, complex networks
Opportunity ID
The opportunity ID for this research opportunity is: 1764
Other opportunities with Professor David John Hill
- Stochastic power system security assessment and planning
- Modelling and security assessment of intelligent electricity networks as cyber-physical systems
- Energy Market Risk Management and Planning
- Power system load modelling in a smart grid environment
- Future Generation and Grid Planning
- Demand-side Power Network Control
- Graph-based Methods in Power Networks Analysis, Optimisation and Control
- Energy Market Risk Management and Planning
- Modelling and security assessment of intelligent electricity networks as cyber-physical systems
- Power system load modelling in a smart grid environment
- Stochastic power system security assessment and planning
Other opportunities with Dr Gregor Verbic
- Participation of distributed energy resources in system support
- The impact of the increased integration of electric vehicles on the power reserve requirements
- Use of thermal masses as virtual energy storage
- Distributed control of distributed energy resources
- Smart House Energy Management System
- Participation of Wind Generation in Frequency Control
- Future Generation and Grid Planning
- Demand-side Power Network Control