Detection of coherent groups using measured signals, in an inter-area mode, for creating controlled islands to protect the power system from blackout
-
Kalyani Mandadi
and
Kalyan Kumar Boddeti
Abstract
Controlled islanding is an effective way of preventing the system from catastrophic blackouts. This is generally solved either as a constrained combinatorial optimization problem or a slow coherency based linearized approach. The combinatorial explosion of the solution space of an extensive power network increases the complexity of solving, while the linearized slow coherency approach cannot track the varying coherent generator groups with a change in system operating conditions. Offline coherent studies are utilized in wide area measurement system (WAMS) data-based approaches to determine islanding boundaries. So, the present study proposes a novel coherency based controlled islanding technique that clusters generators and load buses simultaneously from the measured signals, ensuring generator coherency. Therefore, identification of inter-area modes from bus voltage angle signals is necessary to determine coherent bus groups. So, Zolotarev polynomial based filter bank (ZPBFB) is adopted in the present work to determine inter-area modes. The dimensional reduction techniques are used to cluster the coherent buses. The bus clusters thus obtained with the proposed method are compared with bus clusters determined from small signal stability analysis. The proposed method is demonstrated on IEEE 39-bus, 68-bus and 118-bus test systems and compared with graph spectra based controlled islanding.
Author contribution: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
Research funding: None declared.
Conflict of interest statement: The authors declare no conflicts of interest regarding this article.
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Articles in the same Issue
- Review
- Power quality problem and key improvement technology for regional power grids
- Research Articles
- Machine learning roles in advancing the power network stability due to deployments of renewable energies and electric vehicles
- Analysis between graph-based and Power Transfer Distribution Factors (PTDF)-based model reduction methods in Electric Power Systems
- Experimental control of photovoltaic system using neuro – Kalman filter maximum power point tracking (MPPT) technique
- Data compression techniques for Phasor Measurement Unit (PMU) applications in smart transmission grid
- Influence of inter-turn short circuit on the performance of 10 kV, 1000 kW induction motor
- Detection of coherent groups using measured signals, in an inter-area mode, for creating controlled islands to protect the power system from blackout
- Multi-objective optimization of optimal capacitor allocation in radial distribution systems
- A novel approach of closeness centrality measure for voltage stability analysis in an electric power grid
- Dynamic Simulation of Eastern Regional Grid of India using Power System Simulator for Engineering PSS®E
- Optimal total harmonic distortion minimization in multilevel inverter using improved whale optimization algorithm
- A cost effective accumulator management system for electric vehicles
