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2000
Volume 18, Issue 5
  • ISSN: 2352-0965
  • E-ISSN: 2352-0973

Abstract

Background

Dynamic state estimation can provide detailed information about power systems. However, there is no clear, dynamic equation for the state transition of bus voltages in power systems. Currently, smoothing methods based on historical data are commonly used, but they cannot ensure accurate state prediction in power systems with a large amount of renewable energy. Moreover, the fast sampling rate of phasor measurement units generates a vast amount of real-time data for the dispatch center, making it challenging for centralized state estimation to meet real-time demands.

Objective

This paper proposes a distributed power system state estimation considering dynamic state constraints to address the above issues.

Methods

By incorporating the constraints between the dynamic states of the system dynamic components and the bus voltage phasors, the state transition equations for bus voltage phasors are constructed based on the predicted dynamic states and the nodal injection power equations. This allows taking the dynamic model constraints into account when predicting bus voltage phasors. Then, based on the principle of hierarchical coordination and distributed state estimation, the method of estimation-coordination-correction is adopted to acquire system state information quickly and accurately.

Results

Furthermore, an IEEE 9-bus system and an IEEE 39-bus system are used to validate the proposed method. The proposed method is compared with other algorithms to prove its superiority.

Conclusion

The simulation results show that the proposed method can effectively improve the accuracy of the state estimation results of power systems under dynamic conditions.

© 2025 Bentham Science Publishers
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2025-06-01
2025-11-05

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Distributed Dynamic State Estimation of Power Systems Considering Dynamic State Constraints based on Phasor Measurements Units
Recent Advances in Electrical & Electronic Engineering 18, 575 (2025); https://doi.org/10.2174/0123520965269387231120120044
/content/journals/raeeng/10.2174/0123520965269387231120120044
/content/journals/raeeng/10.2174/0123520965269387231120120044
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  • Article Type:     Research Article
Keyword(s): bus voltage phasor; cubature Kalman filter; Dynamic state estimation; power systems; synchrophasor measurement; system partition

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