Adaptive Real-time Power Measurement Based on IEEE Standard 1459-2010

Ferreira, S. C.; Gonzatti, Robson Bauwelz; Silva, Carlos Henrique; Silva, Luiz Eduardo Borges da; Pereira, Rondineli Rodrigues; Lambert‐Torres, Germano

doi:10.1080/15325008.2015.1027425

Cited by 8 publications

(4 citation statements)

References 15 publications

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“…The ANF structure, presented in Figure 1, was first introduced in [19] for noise canceling, but, due to its characteristics, it has been applied for several different purposes in the field of electrical engineering, such as reactive power and harmonics detection and compensation [20] and power calculations [21], among others. The main advantages of this ANF are the easy bandwidth control and adaptive tracking of the fundamental frequency component of the signal.…”

Section: Adaptive Notch Filtermentioning

confidence: 99%

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Online Adaptive Parameter Estimation of a Finite Control Set Model Predictive Controlled Hybrid Active Power Filter

et al. 2023

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This paper presents a novel strategy for online parameter estimation in a hybrid active power filter (HAPF). This HAPF makes use of existing capacitor banks which it combines with an active power filter (APF) in order to dynamically compensate reactive power. The equipment is controlled with finite control set model predictive control (FCS-MPC) due to its already well-known fast dynamic response. The HAPF model is similar to a grid-connected LCL-filtered converter, so the direct control of the HAPF current can cause resonances and instabilities. To solve this, indirect control, using the capacitor voltage and the inverter-side current, is applied in the cost function, which creates high dependency between the system parameters and the equipment capability to compensate the load reactive power. This dependency is evaluated by simulations, in which the capacitor bank reactance is shown to be the most sensitive parameter, and, thus, responsible for inaccuracies in the FCS-MPC references. In order to minimize this problem without increasing the complexity of the FCS-MPC algorithm, an estimation technique, based on adaptive notch filters, is proposed. The proposed algorithm is tested in a laboratory prototype to demonstrate its ability to follow variations in the HAPF capacitor reactance, effectively correcting the reactive power reference and providing dynamic reactive power compensation. During the tests, the proposed algorithm was capable of keeping the supplied reactive power within a 1% error, even in a situation with 33% variation in the HAPF capacitor reactance.

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Section: Adaptive Notch Filtermentioning

confidence: 99%

“…An analogy can be made between the ANF weights and the SRF direct and quadrature components (dq components). However, the ANF has better dynamic response and a shorter processing time than the SRF, as explained in [21].…”

Section: Adaptive Notch Filtermentioning

confidence: 99%

Online Adaptive Parameter Estimation of a Finite Control Set Model Predictive Controlled Hybrid Active Power Filter

et al. 2023

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“…For the calculations of the active and reactive powers, filter applications are required to eliminate frequencies other than the fundamental (60 Hz for this dataset). The Notch filter [47] is used to remove the non-desired frequencies from the original data, resulting in data containing only the fundamental frequency.…”

Section: ) Calculation Of Powers Of the Datasetmentioning

confidence: 99%

Non-Intrusive Identification of Loads by Random Forest and Fireworks Optimization

2020

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The control of expenses related to electricity has been showing significant growth, especially in residential environments. Monitoring of electrical loads that are turning on and off from home are often performed using smart plugs, providing to the consumers' information about operation intervals and power consumed by each device. Despite a practical solution to control and reduce electricity costs, it has a high cost due to the number of meters required. The high-cost problem can be worked around by using a non-intrusive load monitoring proposal (NILM), where voltage and current measurements are taken at the home entrance, in counterpart demand an extra processing step. In this extra step, various actions like computation of powers, identification of the occurrence of events, and identification of the status of which equipment (on/ off) must be made. The purpose of this work was the elaboration of a heuristic type event detector using floating analysis windows for locating stability zones on power signals after indicating a power change above a predetermined value. For that, tests of the best arrangement of event identifier data to identify which load has been added or removed from the monitored circuit are made. The proposed hybrid approach optimizes the processes using the Fireworks Algorithm (FWA) were used in the Random Forest classifier to improve classification performance. The proposed event identifier and classifier tests were performed on the dataset BLUED, which contains data collected at a North-American residence over one week. The event identifier results were compared with other publications that used different approaches, and the results of the classifications were compared to each other, using various data entry forms, and as an ideal classifier.

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“…Finally, in [33] it was shown that measurement of the rms of three (inter) phase voltages, the rms of three phase currents, the fundamental harmonics of three (inter) phase voltages and the fundamental harmonics of three phase currents is sufficient to measure power and energy according to the IEEE Std 1459-2010 [34]. All these quantities can be also measured with the MM4.…”

Section: One Practical Application Of the Sddft Processormentioning

confidence: 99%

Stochastic digital DFT processor and its application to measurement of reactive power and energy

et al. 2018

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In this paper we present the model of digital stochastic DFT processor. Compared to the classical DFT/FFT processors, the proposed model has two advantages: first, it is much simpler and cheaper to implement, and second, it allows us to compute individual DFT components either in isolation or in parallel. In order to prove the validity of our model, we have simulated the measurement of reactive power and energy. In addition, we have conducted several experiments under field and laboratory conditions. The obtained results have shown that reactive power and energy can be measured with an accuracy of several ppm.

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Adaptive Real-time Power Measurement Based on IEEE Standard 1459-2010

Cited by 8 publications

References 15 publications

Online Adaptive Parameter Estimation of a Finite Control Set Model Predictive Controlled Hybrid Active Power Filter

Online Adaptive Parameter Estimation of a Finite Control Set Model Predictive Controlled Hybrid Active Power Filter

Non-Intrusive Identification of Loads by Random Forest and Fireworks Optimization

Stochastic digital DFT processor and its application to measurement of reactive power and energy

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