Optimal Strategy for Enhancing Probabilistic Small-Signal Stability in a Power System with Wind-PV-Thermal Bundled Transmission
Publication: Journal of Energy Engineering
Volume 149, Issue 3
Abstract
To address the challenges of integrating ever-increasing renewable energy generation such as wind power and photovoltaic (PV) to the power system concerned, the wind-PV-thermal-bundled (WPTB) transmission mode could be employed to mitigate the intermittent power output from wind and PV units. In this work, based on the mathematical models of thermal generation units, wind turbines and PV units, the WPTB transmission system model is developed. Each load demand is modeled as a random variable under various operating conditions of the concerned power system. The Lyapunov linearization method is used to obtain the system matrix of each operation mode, and then all eigenvalues of the system can be attained. According to the generator participation factor, the oscillation modes of the power system are classified. The eigenvalue and damping ratio of each oscillation mode are employed to formulate the objective function of the optimal strategy for enhancing probabilistic small-signal stability, and the particle swarm optimization algorithm is used for global optimization. The secure operation of the power system can be ensured in a wider range by the designed optimization strategy in this work. The effectiveness of the method is demonstrated by simulation results of a sample power system which can operate stably under some uncertain operation conditions.
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Data Availability Statement
All data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
This work is jointly supported by the National Natural Science Foundation of China (NSFC) (No. 51607158), the Scientific and Technological Research Foundation of Henan Province (No. 222102320198), and the Key Project of Zhengzhou University of Light Industry (No. 2020ZDPY0204).
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Information & Authors
Information
Published In
Journal of Energy Engineering
Volume 149 • Issue 3 • June 2023
Copyright
© 2023 American Society of Civil Engineers.
History
Received: Dec 31, 2022
Accepted: Feb 20, 2023
Published online: Apr 13, 2023
Published in print: Jun 1, 2023
Discussion open until: Sep 13, 2023
ASCE Technical Topics:
- Continuum mechanics
- Dynamics (solid mechanics)
- Eigenvalues
- Electric power
- Energy engineering
- Energy infrastructure
- Energy sources (by type)
- Engineering fundamentals
- Engineering mechanics
- Infrastructure
- Lifeline systems
- Mathematical models
- Mathematics
- Models (by type)
- Motion (dynamics)
- Oscillations
- Power transmission
- Probability
- Renewable energy
- Solid mechanics
- Thermal analysis
- Thermodynamics
- Wind power
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