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Haiying Dong
School of Automation & Electrical Engineering, Lanzhou Jiao Tong University

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An Improved Prediction Approach on Solar Irradiance of Photovoltaic Power Station Haiying Dong; Lei Yang; Shengrui Zhang; Yuan Li
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 3: March 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

Solar irradiance is the main factor which influences the photovoltaic output power. In order to predict the photovoltaic output power accurately, the prediction accuracy of irradiance should be improved. In terms of unsatisfactory prediction accuracy of irradiance of traditional photovoltaic power station, this paper presents an approach to predict solar irradiance of photovoltaic power station based on wavelet decomposition and extreme learning machine. In this method, the historical solar irradiance data is divided through the wavelet decomposition of three layers. Then the prediction models of irradiance are built based on the extreme learning machine. Finally, the solar irradiance is predicted with 15 minutes’ resolution one day ahead. With the decomposed components and the relative meteorological data as the input and the irradiance forecast data after wavelet reconstruction as the output. The simulation result coming from the actual measured data of a photovoltaic power station in Gansu province indicates that the proposed model is of higher accuracy in comparison with the traditional ones. DOI : http://dx.doi.org/10.11591/telkomnika.v12i3.4017
Transient Stability Analysis of Grid-connected Wind Turbines with Front-end Speed Control via Information Entropy Energy Function Method Haiying Dong; Shuaibing Li; Shubao Li; Hongwei Li
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 1: January 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

According to the characteristics like time-consuming and can not be quantitatively analyzed of time domain simulation in power system transient stability analysis, a direct method using information entropy combined with transient energy function method is proposed in this paper to analyze the transient stability of wind power system equiped with front-end speed controlled wind turbines (FSCWT) with synchronous generators. In which, the system kinetic energy and potential energy are used as information source to makeup information entropy function, then, a theoretical analysis of system transient stability is conducted. Based on this, simulations are carried out in IEEE 5-machine 14-bus system compared with the time domain’s, which verified the consistency of information entropy energy function (IEEF) method and time domain analysis. Results show that it is more intuitively and effectively to use IEEF method for wind power system transient analysis equiped with FSCWT.DOI : http://dx.doi.org/10.11591/telkomnika.v12i1.3379
Transient Stability Analysis of Grid-connected Wind Turbines with Time Domain Simulation Hongwei Li; Haiying Dong; Shuaibing Li; Linxin Cao
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 1: January 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

With an ever-increasing pentration of wind power into power system, the influence to overall system behavior and stability becomes obviously. Therefore, it is so necessary to require wind turbines have good grid adaptability. This paper investigates the effect ofdirectly grid-connectedfront-end speed controlled wind turbines (FSCWT) on transient stability of power system.For this purpose, a voltage based synchronous generator model is used and the drive train model with WinDriver is built. By using a fast excitation control of FSCWT exciter, the FSCWT wind turbines can successfully ride through grid fault and have no problem of angular stability when connected to grid. Simulation studies are carried out to demonstrate and compare the transient performance of the IEEE 5-machine 14-bus system with FSCWT replace by double fed induction generators (DFIG) during a three phase fault. Results show that a better transient stability performance is achieved with an intergration of FSCWT in comparsion with DFIG, which can even bring some benefits on power system transient performance and stability.DOI : http://dx.doi.org/10.11591/telkomnika.v12i1.3331 
Co-Authors Hongwei Li Lei Yang Linxin Cao Shengrui Zhang Shuaibing Li Shubao Li Yuan Li