A real-time system for the generation and detection of electrical disturbances

Monedero, Íñigo; León, Carlos; Garcia, A.; Elena, J.M.; Montañó, J.C.; Ropero, Jorge

doi:10.1109/psce.2004.1397728

Cited by 2 publications

(2 citation statements)

References 17 publications

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“…The basic goal of any EPS is to deliver a continuous sinusoidal voltage with balanced sinusoidal currents of constant magnitude and frequency. The IEC and IEEE have outlined several PQ standards to achieve PQ standardization, which are presented in Table 1 [11].…”

Section: A Motivation and Backgroundmentioning

confidence: 99%

Application of Whale Optimization Algorithm Based FOPI Controllers for STATCOM and UPQC to Mitigate Harmonics and Voltage Instability in Modern Distribution Power Grids

Mahmoud

Atia²,

Esmail

et al. 2023

Axioms

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In recent modern power systems, the number of renewable energy systems (RESs) and nonlinear loads have become more prevalent. When these systems are connected to the electricity grid, they may face new difficulties and issues such as harmonics and non-standard voltage. The proposed study suggests the application of a whale optimization algorithm (WOA) based on a fractional-order proportional-integral controller (FOPIC) for unified power quality conditioner (UPQC) and STATCOM tools. These operate best with the help of their improved control system, to increase the system’s reliability and fast dynamic response, and to decrease the total harmonic distortion (THD) for enhancing the power quality (PQ). In this article, three different configurations are studied and assessed, namely: (C1) WOA-based FOPIC for UPQC, (C2) WOA-based FOPIC for STATCOM, and (C3) system without FACTS, i.e., base case, to mitigate the mentioned drawbacks. C3 is also considered as a base case to highlight the main benefits of C1 and C2 in improving the PQ by reducing the %THD of the voltage and current system and improving the systems’ voltage waveforms. With C2, voltage fluctuation is decreased by 98%, but it nearly disappears in C1 during normal conditions. Additionally, during the fault period, voltage distortion is reduced by 95% and 100% with C2 and C1, respectively. Furthermore, when comparing C1 to C2 and C3 under regular conditions, the percentage reduction in THD is remarkable. In addition, C1 eliminates the need for voltage sag, and harmonic and current harmonic detectors, and it helps to streamline the control approach and boost control precision. The modeling and simulation of the prepared system are performed by MATLAB/Simulink. Finally, it can be concluded that the acquired results are very interesting and helpful in the recovery to the steady state of wind systems and nonlinear loads, thereby increasing their grid connection capabilities.

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Section: A Motivation and Backgroundmentioning

confidence: 99%

Application of Whale Optimization Algorithm Based FOPI Controllers for STATCOM and UPQC to Mitigate Harmonics and Voltage Instability in Modern Distribution Power Grids

Mahmoud

Atia²,

Esmail

et al. 2023

Axioms

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“…The classification of PQ disturbances is often based on artificial neural network (ANN) [8], expert system (ES) [9] , fuzzy logic(FL) [10] , super vector machines (SVM) [11] ,and hidden Markov model (HMM) [12] , and so on. In this paper, using a rule-based decision tree (RBDT) [13], the PQ disturbance pattern can be recognized easily and there is no need to use other complicated classifiers.…”

Section: Introductionmentioning

confidence: 99%

DSP-FPGA based real-time power quality disturbances classifier

Zhang

2010

IEEE PES T&D 2010

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This paper describes an real-time classification method of power quality (PQ) disturbances based on DSP-FPGA. The proposed method simultaneously uses the results obtained in the application of a series of RMS values and the discrete Fourier transform to the power signal waveform. A series of RMS values are used for estimation of the time-related parameters of the PQ disturbances and the discrete Fourier transform is used for confirmation of the frequency-related parameters of the PQ disturbances. Without adding the computational burden, both the elementary parameters of the power signal and the type of PQ disturbance are obtained easily. A simple and effective methodology for classification of nine typical kinds of PQ disturbances is proposed in this paper. Five distinguished time-frequency statistical features of each type of PQ disturbances are extracted. Using a rule-based decision tree (RBDT), the PQ disturbances pattern can be recognized easily and there is no need to use other complicated classifiers. Finally, the method is also tested using both simulated disturbances and disturbances measured using an initial development instrument. Different experimental results show the good performance of this proposed approach. Real-time calculating time based on DSP is also taken into consideration to show the effectiveness of the proposed method.

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A real-time system for the generation and detection of electrical disturbances

Cited by 2 publications

References 17 publications

Application of Whale Optimization Algorithm Based FOPI Controllers for STATCOM and UPQC to Mitigate Harmonics and Voltage Instability in Modern Distribution Power Grids

Application of Whale Optimization Algorithm Based FOPI Controllers for STATCOM and UPQC to Mitigate Harmonics and Voltage Instability in Modern Distribution Power Grids

DSP-FPGA based real-time power quality disturbances classifier

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