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The issue of power quality has attracted considerable attention from utilities and customers due to fast development of power system industry. It is vital to ensure power quality by means of advanced technology which can monitor, locate and classify disturbances with measurement approaches and instruments. A novel approach for the power quality disturbances detection and investigation using wavelet...
A DSP process-based equipment to diagnose the power quality of a single-phase power system is developed. The artificial-intelligent equipment diagnoses the transient, the voltage sag, the voltage swell and the THD among the power quality index of a power system. The 256 data sampled in a period of the single-phase voltage of the power system are used for the real-time calculation of RMS value, Fast...
In this modern era, electric power has become the basic need for the business world. The quality and reliability of power needs to be maintained for obtaining optimum performance. Now-a-days power has also become a business commodity. Hence, faultless and lossless transmission and distribution of power is necessary. Power faults must be identified quickly from various sources (eg. information from...
A comprehensive evaluation approach of power quality (PQ) based on subordinate degree-BP neural network was proposed in this paper. In case the BP neural network training process is trapped by the local minimum point, genetic algorithm (GA) was introduced to optimize the network's initial weights. A large number of samples based on the random-distribution theory were produced to train the network,...
The increasing use of nonlinear loads such as power electronic devices has led to serious harmonic pollution in the power system. In order to prevent harmonics from deteriorating the power quality, detecting harmonic components for harmonic mitigations becomes an important issue. In this paper, the radial basis function neural network (RBFNN) suitable for function approximations and pattern classifications...
In the present scenario of market driven business, power supply has become more like a commodity. Reliable and quality power need to be ensured to meet customer requirements. In such a situation, it is extremely important that transmission line faults be identified accurately, reliably and in quick time. Fault information from relays need to be used effectively for locating the fault. Advanced signal...
This paper compares different variants of the least mean squares (LMS) algorithm. The objective consists in finding the best compromise between on-line learning and computational costs. Indeed, an algorithm with low computational complexity for updating Adalines weights is required for a real-time implementation of a modular neural Active Power Filter (APF). This filtering scheme is inserted in an...
Power supply failure will cause major social loss. Therefore, power supply systems have been required to be highly reliable. This research deals with a significant and effective method to decide the investment in a power system damage of the power supply on the society. In CMD2007 Korea, we proposed mean-variance approach to replacing unreliable units in a power system. This paper extends the method...
In the present scenario of market driven business, power supply has become more like a commodity. Reliable and quality power need to be ensured to meet customer requirements. In such a situation, it is extremely important that transmission line faults be identified accurately, reliably and in quick time. Advanced signal processing tools such as discrete wavelet transform (DWT) can be used very effectively...
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