Abstract
Power quality analysis issues, especially the measurement of harmonic and interharmonic in cyber-physical energy systems, are addressed in this paper. As new situations are introduced to the power system, the impact of electric vehicles, distributed generation and renewable energy has introduced extra demands to distributed sensors, waveform-level information and power quality data analytics. Harmonics and interharmonics, as the most significant disturbances, require carefully designed detection methods for an accurate measurement of electric loads whose information is crucial to subsequent analyzing and control. This paper gives a detailed description of the power quality analysis framework in networked environment and presents a fast and resolution-enhanced method for harmonic and interharmonic measurement. The proposed method first extracts harmonic and interharmonic components efficiently using the single-channel version of Robust Independent Component Analysis (RobustICA), then estimates the high-resolution frequency from three discrete Fourier transform (DFT) samples with little additional computation, and finally computes the amplitudes and phases with the adaptive linear neuron network. The experiments show that the proposed method is time-efficient and leads to a better accuracy of the simulated and experimental signals in the presence of noise and fundamental frequency deviation, thus providing a deeper insight into the (inter)harmonic sources or even the whole system.
Highlights
Cyber-physical energy system (CPES) is about the intersection of the physical and the cyber in the power grid [1,2]
Compared to classic and state-of-art methods with high frequency resolution, the proposed method is remarkably accurate in parameter estimation. This proves that extracting harmonic and interharmonic components is beneficial to subsequent processing, and resolution-enhanced frequency can be acquired with only three discrete Fourier transform (DFT) coefficients
Power quality issues in a cyber-physical energy system have been addressed and a resolution-enhanced approach to harmonic and interharmonic estimation has been proposed for power quality analysis in networked environment
Summary
Cyber-physical energy system (CPES) is about the intersection of the physical and the cyber in the power grid [1,2]. Speaking, the utilities can monitor the consumers’ power information and make corresponding operations such as providing suggestions for consumption reducing [3] and disturbances filtering [4], and the consumers have the choice of the power consuming behaviors or even proposing demands to utilities, according to the utility-published data such as the dynamic price and power quality. The main supporting technologies of achieving the above functionalities are two-way communication with multi-mode data transmission, dynamic demand response, and power quality analysis in the appliance level [3,5,6]. In this sense, the fundamental hardware that best connects the physical with the cyber is called a smart meter [6]. Smart meters that can provide waveform-level information for power quality analysis are needed, and in terms of the communication, the power quality analysis framework should be carefully designed
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
