Abstract
Undervoltage load shedding serves to maintain voltage stability when a majority of loads are fast acting. An undervoltage load shedding scheme should address two tasks: the detection of voltage instability following a large disturbance and the determination of the amount of load to be shed. Additionally, in case of short-term voltage instability, the scheme should be fast. This paper proposes a method to predict voltage instability arising due to a large disturbance. The amount of load to be shed to maintain voltage stability is then determined from the Thevenin equivalent of the network as seen from the local bus. The proposed method uses local measurements of bus voltage and power, and does not require knowledge of the network. The method is validated by simulation of three test systems subjected to a large disturbance. The proposed scheme is fairly accurate in estimating the minimum amount of load to be shed to maintain stability. The method is also successful in maintaining stability in cases where voltage collapse is detected at multiple buses.
Appendix
8.1 Turbine data
Data for single reheat turbine Kundur [24]:
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©2016 by De Gruyter
Artikel in diesem Heft
- Frontmatter
- Development of Real Time Implementation of 5/5 Rule based Fuzzy Logic Controller Shunt Active Power Filter for Power Quality Improvement
- Fault Analysis in a Grid Integrated DFIG Based Wind Energy System with NA CB_P Circuit for Ridethrough Capability and Power Quality Improvement
- Efficiency Improvements in Meta-Heuristic Algorithms to Solve the Optimal Power Flow Problem
- A Novel Load Shedding Scheme for Voltage Stability
- Path Searching Based Fault Automated Recovery Scheme for Distribution Grid with DG
- Harmonic Optimization in Voltage Source Inverter for PV Application using Heuristic Algorithms
- Improved Control Strategy for Subsynchronous Resonance Mitigation with Fractional-order PI Controller
- A Novel Approach to the Design of Passive Filters in Electric Grids
- Real-Time Smart Grids Control for Preventing Cascading Failures and Blackout using Neural Networks: Experimental Approach for N-1-1 Contingency
- Validation of a Nonlinear Average Model of NPC Inverters Based on Experimental Investigations
Artikel in diesem Heft
- Frontmatter
- Development of Real Time Implementation of 5/5 Rule based Fuzzy Logic Controller Shunt Active Power Filter for Power Quality Improvement
- Fault Analysis in a Grid Integrated DFIG Based Wind Energy System with NA CB_P Circuit for Ridethrough Capability and Power Quality Improvement
- Efficiency Improvements in Meta-Heuristic Algorithms to Solve the Optimal Power Flow Problem
- A Novel Load Shedding Scheme for Voltage Stability
- Path Searching Based Fault Automated Recovery Scheme for Distribution Grid with DG
- Harmonic Optimization in Voltage Source Inverter for PV Application using Heuristic Algorithms
- Improved Control Strategy for Subsynchronous Resonance Mitigation with Fractional-order PI Controller
- A Novel Approach to the Design of Passive Filters in Electric Grids
- Real-Time Smart Grids Control for Preventing Cascading Failures and Blackout using Neural Networks: Experimental Approach for N-1-1 Contingency
- Validation of a Nonlinear Average Model of NPC Inverters Based on Experimental Investigations