scholarly journals Wide-area damping control using signal restoration under communication uncertainties

2020 ◽  
Vol 71 (3) ◽  
pp. 165-174
Author(s):  
Issarachai Ngamroo

AbstractIn large-scale power systems, the wide-area damping controller (WADC) using remote input signals is an effective device that can be applied to deal with poor inter-area oscillation damping. However, its control effect will be degraded by communication uncertainties such as variable time delays in both input and output sides of WADC, partial and complete communication failures. This paper focuses on a new WADC design by regarding communication uncertainties. Such uncertainties are mathematically formulated and analyzed in order to signify its impact on the oscillatory stability. The signal restoration of input and output pairs of WADC is proposed to alleviate an adverse effect of communication uncertainties. Simulation study in an IEEE 50-machine 145-bus test system elucidates that the proposed WADC is superior to that of the conventional WADC without considering communication uncertainties in both performance and robustness.

2011 ◽  
Vol 219-220 ◽  
pp. 1371-1374
Author(s):  
Ke Luo ◽  
Hai Ying Yu

To damp the inter-area low-frequency oscillation in power systems, a wide-area damping supplementary inter-area controller, based on output prediction observer and LMI method, was designed in this paper. Simulation results of a test system show that the wide-area damping controller can well damp inter-area low-frequency oscillation, and is insensitive to time-delay to some degree.


Energies ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 2301
Author(s):  
Yun-Sung Cho ◽  
Yun-Hyuk Choi

This paper describes a methodology for implementing the state estimation and enhancing the accuracy in large-scale power systems that partially depend on variable renewable energy resources. To determine the actual states of electricity grids, including those of wind and solar power systems, the proposed state estimation method adopts a fast-decoupled weighted least square approach based on the architecture of application common database. Renewable energy modeling is considered on the basis of the point of data acquisition, the type of renewable energy, and the voltage level of the bus-connected renewable energy. Moreover, the proposed algorithm performs accurate bad data processing using inner and outer functions. The inner function is applied to the largest normalized residue method to process the bad data detection, identification and adjustment. While the outer function is analyzed whether the identified bad measurements exceed the condition of Kirchhoff’s current law. In addition, to decrease the topology and measurement errors associated with transformers, a connectivity model is proposed for transformers that use switching devices, and a transformer error processing technique is proposed using a simple heuristic method. To verify the performance of the proposed methodology, we performed comprehensive tests based on a modified IEEE 18-bus test system and a large-scale power system that utilizes renewable energy.


Author(s):  
Yonghui Nie ◽  
Yidan Zhang ◽  
Yan Zhao ◽  
Binbin Fang ◽  
Lili Zhang

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