Pub Date : 2008-03-12DOI: 10.1109/MEPCON.2008.4562303
H. Clark, M. El-Gasseir, Hendrik Epp, A. Edris
Growing grid complexity and loading are increasing the risk of cascading failures and large-scale blackouts. Traditional reliability enhancement technologies offer only incremental improvements. Emerging technologies are limited by their complexity, and need for extensive real time analyses. A better solution is to segment the grid into AC sectors interconnected by HVDC links. In a segmented system simple preset HVDC controls respond to disturbances without assistance from operators or central control. Further, transfer capability is increased when intra-sector spinning reserve responds to frequency decay. Efficient market operation and management are enabled by the controllability of power flows between grid sectors.
{"title":"The application of segmentation and grid shock absorber concept for reliable power grids","authors":"H. Clark, M. El-Gasseir, Hendrik Epp, A. Edris","doi":"10.1109/MEPCON.2008.4562303","DOIUrl":"https://doi.org/10.1109/MEPCON.2008.4562303","url":null,"abstract":"Growing grid complexity and loading are increasing the risk of cascading failures and large-scale blackouts. Traditional reliability enhancement technologies offer only incremental improvements. Emerging technologies are limited by their complexity, and need for extensive real time analyses. A better solution is to segment the grid into AC sectors interconnected by HVDC links. In a segmented system simple preset HVDC controls respond to disturbances without assistance from operators or central control. Further, transfer capability is increased when intra-sector spinning reserve responds to frequency decay. Efficient market operation and management are enabled by the controllability of power flows between grid sectors.","PeriodicalId":236620,"journal":{"name":"2008 12th International Middle-East Power System Conference","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126944191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-03-12DOI: 10.1109/MEPCON.2008.4562406
H. Mahmoud, S. M. Elkhodary, Soliman El-Debeiky, M. Khafagy, A. A. Twijri
An accurate load-forecast is essential for developing a power supply strategy, and system development plan, especially for developing countries where the demand is increased with high growth rate. Forecasting demand and energy for power systems in fast developing countries is however a difficult task; the difficulty arises from the limited historical data, and/or its uncertainty as well as the high growth rate of electric demand. This paper, thus presents a unified forecasting methodology with special features based on the decomposition of loads into several sectorial components for a fast-growing power system. The model has been applied to a typical fast growing system, the Saudi power system, as compared with the conventional method of forecasting the total energy. Further, this paper applies energy forecast models using artificial neural networks (ANN) with multilayer perceptron (MLP) and back propagation (BP) learning algorithm on such a fast growing system. ANN is implemented to support the choice of the most suitable load-forecasting model for long term power system planning. This technique demonstrates the accuracy of the proposed method among the three forecast models and shows that the suggested forecast model based on the ANN technique is simplest with high accuracy. To carry out this task with the various methods, it was necessary to perform data mining for the available historical data. Hence, it could be possible to forecast the peak load forecast assuming the historical data for the load factor.
{"title":"Special features of energy forecast methodology in fast growing countries","authors":"H. Mahmoud, S. M. Elkhodary, Soliman El-Debeiky, M. Khafagy, A. A. Twijri","doi":"10.1109/MEPCON.2008.4562406","DOIUrl":"https://doi.org/10.1109/MEPCON.2008.4562406","url":null,"abstract":"An accurate load-forecast is essential for developing a power supply strategy, and system development plan, especially for developing countries where the demand is increased with high growth rate. Forecasting demand and energy for power systems in fast developing countries is however a difficult task; the difficulty arises from the limited historical data, and/or its uncertainty as well as the high growth rate of electric demand. This paper, thus presents a unified forecasting methodology with special features based on the decomposition of loads into several sectorial components for a fast-growing power system. The model has been applied to a typical fast growing system, the Saudi power system, as compared with the conventional method of forecasting the total energy. Further, this paper applies energy forecast models using artificial neural networks (ANN) with multilayer perceptron (MLP) and back propagation (BP) learning algorithm on such a fast growing system. ANN is implemented to support the choice of the most suitable load-forecasting model for long term power system planning. This technique demonstrates the accuracy of the proposed method among the three forecast models and shows that the suggested forecast model based on the ANN technique is simplest with high accuracy. To carry out this task with the various methods, it was necessary to perform data mining for the available historical data. Hence, it could be possible to forecast the peak load forecast assuming the historical data for the load factor.","PeriodicalId":236620,"journal":{"name":"2008 12th International Middle-East Power System Conference","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130345181","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-03-12DOI: 10.1109/MEPCON.2008.4562407
M. Zaky, M. Khater, H. Yasin, S. Shokralla
Recently, speed sensorless control of induction motor drives received great attention to avoid the different problems associated with direct speed sensors. However, low speed operation with robustness against parameter variations remains an area of research for sensorless systems. Stator resistance is of greatest importance for good operation of speed sensorless systems in low speed region. In this paper, a sliding mode current observer for an induction motor is presented. An estimation algorithm based on this observer in conjunction with Popov's hyper-stability theory is proposed to calculate the speed and stator resistance independently. The proposed speed observer with a parallel stator resistance identification is firstly verified by simulation. Experimental results are included as well to demonstrate the good performance of the proposed observer and estimation algorithms at low speed.
{"title":"Speed and stator resistance identification schemes for a low speed sensorless induction motor drive","authors":"M. Zaky, M. Khater, H. Yasin, S. Shokralla","doi":"10.1109/MEPCON.2008.4562407","DOIUrl":"https://doi.org/10.1109/MEPCON.2008.4562407","url":null,"abstract":"Recently, speed sensorless control of induction motor drives received great attention to avoid the different problems associated with direct speed sensors. However, low speed operation with robustness against parameter variations remains an area of research for sensorless systems. Stator resistance is of greatest importance for good operation of speed sensorless systems in low speed region. In this paper, a sliding mode current observer for an induction motor is presented. An estimation algorithm based on this observer in conjunction with Popov's hyper-stability theory is proposed to calculate the speed and stator resistance independently. The proposed speed observer with a parallel stator resistance identification is firstly verified by simulation. Experimental results are included as well to demonstrate the good performance of the proposed observer and estimation algorithms at low speed.","PeriodicalId":236620,"journal":{"name":"2008 12th International Middle-East Power System Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131240948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-03-12DOI: 10.1109/MEPCON.2008.4562309
M. Moussa, Ahmed A. Helal, Y. Gaber, H. A. Youssef
The permanent magnet synchronous motors (PMSMs) have gained an increasing interest recently. The wide variety of applications of PMSM drives makes it necessary to achieve fast and reliable drive control system design. Vector control of PMSM can achieve fast dynamic response with less complexity and parameter-independent controller, prevent demagnetization of the motor and allow maximum efficiency operation. In this paper, a novel unity power factor (UPF) control drive for PMSMs is presented. The drive is performed with constraint on the (PF) such that its steady-state value is unity. This feature provides an extension of the constant torque region, resulting in higher output power of the PMSM drive, which is desirable in many applications requiring extended speed range at rated motor torque. However, this drive is not optimal in terms of efficiency which will be less than that obtained from conventional decoupled vector control drive for the same torque. Therefore, it is concluded that before reaching the rated speed, the conventional decoupled vector control is preferable, whereas, the UPF control is optimal to have a wider range of speed operation (above the base speed of the conventional vector control) and hence, extension of the constant torque region. Above this extended base speed, the PMSM drive can be operated in constant power mode using the conventional field-weakening technique having constant supply voltage and current. The drive system is built using MATLAB-SIMULINK software. The validity is evaluated in both steady-state condition and transient response using computer simulation.
{"title":"Unity Power Factor control of permanent magnet motor drive system","authors":"M. Moussa, Ahmed A. Helal, Y. Gaber, H. A. Youssef","doi":"10.1109/MEPCON.2008.4562309","DOIUrl":"https://doi.org/10.1109/MEPCON.2008.4562309","url":null,"abstract":"The permanent magnet synchronous motors (PMSMs) have gained an increasing interest recently. The wide variety of applications of PMSM drives makes it necessary to achieve fast and reliable drive control system design. Vector control of PMSM can achieve fast dynamic response with less complexity and parameter-independent controller, prevent demagnetization of the motor and allow maximum efficiency operation. In this paper, a novel unity power factor (UPF) control drive for PMSMs is presented. The drive is performed with constraint on the (PF) such that its steady-state value is unity. This feature provides an extension of the constant torque region, resulting in higher output power of the PMSM drive, which is desirable in many applications requiring extended speed range at rated motor torque. However, this drive is not optimal in terms of efficiency which will be less than that obtained from conventional decoupled vector control drive for the same torque. Therefore, it is concluded that before reaching the rated speed, the conventional decoupled vector control is preferable, whereas, the UPF control is optimal to have a wider range of speed operation (above the base speed of the conventional vector control) and hence, extension of the constant torque region. Above this extended base speed, the PMSM drive can be operated in constant power mode using the conventional field-weakening technique having constant supply voltage and current. The drive system is built using MATLAB-SIMULINK software. The validity is evaluated in both steady-state condition and transient response using computer simulation.","PeriodicalId":236620,"journal":{"name":"2008 12th International Middle-East Power System Conference","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126854464","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-03-12DOI: 10.1109/MEPCON.2008.4562332
A. Hemeida
This paper aimed to apply artificial neural network proportional, plus integral, PI controlled superconducting magnetic energy storage SMES to improve the transient stability of power systems. The PI controller parameters is firstly determined based on eigenvalue assignment approach. The artificial neural network, ANN is used to determine the optimum gains of the PI controller at different load values. The ANN is trained off line using Matlab software to obtain the optimum parameters of the PI controller. The speed deviation, Deltaomega and load angle deviation Deltadelta are used as input signal to the PI controller. The studied power system consists of single machine connected to an infinite bus via double transmission lines. The studied system is modeled by a set of nonlinear differential and algebraic equations and simulated by the Matlab software. The simulation results indicates the effect of the proposed ANN PI controlled SMES.
{"title":"Artificial neural network PI controlled superconducting magnetic energy storage, SMES for augmentation of power systems stability","authors":"A. Hemeida","doi":"10.1109/MEPCON.2008.4562332","DOIUrl":"https://doi.org/10.1109/MEPCON.2008.4562332","url":null,"abstract":"This paper aimed to apply artificial neural network proportional, plus integral, PI controlled superconducting magnetic energy storage SMES to improve the transient stability of power systems. The PI controller parameters is firstly determined based on eigenvalue assignment approach. The artificial neural network, ANN is used to determine the optimum gains of the PI controller at different load values. The ANN is trained off line using Matlab software to obtain the optimum parameters of the PI controller. The speed deviation, Deltaomega and load angle deviation Deltadelta are used as input signal to the PI controller. The studied power system consists of single machine connected to an infinite bus via double transmission lines. The studied system is modeled by a set of nonlinear differential and algebraic equations and simulated by the Matlab software. The simulation results indicates the effect of the proposed ANN PI controlled SMES.","PeriodicalId":236620,"journal":{"name":"2008 12th International Middle-East Power System Conference","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116662724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-03-12DOI: 10.1109/MEPCON.2008.4562348
M. Eissa, E. Shehab_Eldin, M. E. Masoud, A. S. Abd-Elatif
This paper presents a novel digital technique for transformer protection. The technique uses the accumulated positive sequence admittances at the two sides of the power transformer. The instantaneous measurements of phase voltage and line current signals at the transformer terminals are used to calculate the accumulated positive sequence admittances. A 500/230-kV Y/Y transformer connected to a 230-kV power system is simulated using MATLAB/SIMIULINK tool. The method depends on stand alone decision at the two terminals of power transformer. Results indicate that the proposed technique is stable, reliable, and fast during the discrimination between internal and external faults, magnetizing inrush currents, and switching on internal faults.
{"title":"Digital technique for power transformer fault detection based on positive sequence admittance approach","authors":"M. Eissa, E. Shehab_Eldin, M. E. Masoud, A. S. Abd-Elatif","doi":"10.1109/MEPCON.2008.4562348","DOIUrl":"https://doi.org/10.1109/MEPCON.2008.4562348","url":null,"abstract":"This paper presents a novel digital technique for transformer protection. The technique uses the accumulated positive sequence admittances at the two sides of the power transformer. The instantaneous measurements of phase voltage and line current signals at the transformer terminals are used to calculate the accumulated positive sequence admittances. A 500/230-kV Y/Y transformer connected to a 230-kV power system is simulated using MATLAB/SIMIULINK tool. The method depends on stand alone decision at the two terminals of power transformer. Results indicate that the proposed technique is stable, reliable, and fast during the discrimination between internal and external faults, magnetizing inrush currents, and switching on internal faults.","PeriodicalId":236620,"journal":{"name":"2008 12th International Middle-East Power System Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130628624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-03-12DOI: 10.1109/MEPCON.2008.4562362
E. Aboul-Zahab, E. Eldin, D. Ibrahim, S. Saleh
Coupling Capacitor Voltage Transformer (CCVT) secondary voltages, normally applied to conventional schemes, do not comprise appropriate information for schemes that operate on high frequency fault generated transients. However it is possible to capture the required travelling wave information contained in fault transients using a high frequency tap from a CCVT. This paper presents an ATP/EMTP fault simulations studies based algorithm for half cycle high impedance fault detection. The proposed scheme implemented on two different models of HIF in extra high voltage mutually coupled double- ended transmission lines. The scheme recognizes the distortion of the voltage waveforms caused by the arcs usually associated with HIFs. The high pass filter tap yields three phase voltage in the high frequency range which are fed to Clarke's transformation to decouple the traveling waves of the mutually coupled lines and produces ground mode and aerial modes voltage components to the classifier for pattern recognition. The classifier is based on an algorithm that uses recursive method to sum the absolute values of the high frequency signal generated over one cycle and shifting one sample. Characteristics of the proposed fault detection scheme are analyzed by extensive simulation studies that clearly reveal that the proposed method can accurately detect HIFs in the EHV transmission lines within only half a cycle from the instant of fault occurrence. The reliability of the proposed scheme does not affected by different fault conditions such as fault distance and fault inception angle.
{"title":"High impedance fault detection in mutually coupled double-ended transmission lines using high frequency disturbances","authors":"E. Aboul-Zahab, E. Eldin, D. Ibrahim, S. Saleh","doi":"10.1109/MEPCON.2008.4562362","DOIUrl":"https://doi.org/10.1109/MEPCON.2008.4562362","url":null,"abstract":"Coupling Capacitor Voltage Transformer (CCVT) secondary voltages, normally applied to conventional schemes, do not comprise appropriate information for schemes that operate on high frequency fault generated transients. However it is possible to capture the required travelling wave information contained in fault transients using a high frequency tap from a CCVT. This paper presents an ATP/EMTP fault simulations studies based algorithm for half cycle high impedance fault detection. The proposed scheme implemented on two different models of HIF in extra high voltage mutually coupled double- ended transmission lines. The scheme recognizes the distortion of the voltage waveforms caused by the arcs usually associated with HIFs. The high pass filter tap yields three phase voltage in the high frequency range which are fed to Clarke's transformation to decouple the traveling waves of the mutually coupled lines and produces ground mode and aerial modes voltage components to the classifier for pattern recognition. The classifier is based on an algorithm that uses recursive method to sum the absolute values of the high frequency signal generated over one cycle and shifting one sample. Characteristics of the proposed fault detection scheme are analyzed by extensive simulation studies that clearly reveal that the proposed method can accurately detect HIFs in the EHV transmission lines within only half a cycle from the instant of fault occurrence. The reliability of the proposed scheme does not affected by different fault conditions such as fault distance and fault inception angle.","PeriodicalId":236620,"journal":{"name":"2008 12th International Middle-East Power System Conference","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125575143","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-03-12DOI: 10.1109/MEPCON.2008.4562354
H. A. Rahman, M.Y. Hassan, M. Majid, K. M. Nor, N. A. Atan
This paper presents a feasibility study of installing the photovoltaic street lighting at 15 sites in the Univeristi Teknologi Malaysia (UTM), Johor Bahru campus. A comparative economic analysis on the actual electricity bill for UTM with and without photovoltaic (PV) street lighting was performed. The finding shows that there is approximately 1% reduction in the electricity bill with the pay back period of 7.5 years for the complete installation of PV system. In selecting the suitable module for the PV street lighting, two types of PV technologies; amorphous Silicon and monocrystalline Silicon were studied and compared.
{"title":"Economic study on the effectiveness of photovoltaic street lighting in Universiti Teknologi Malaysia","authors":"H. A. Rahman, M.Y. Hassan, M. Majid, K. M. Nor, N. A. Atan","doi":"10.1109/MEPCON.2008.4562354","DOIUrl":"https://doi.org/10.1109/MEPCON.2008.4562354","url":null,"abstract":"This paper presents a feasibility study of installing the photovoltaic street lighting at 15 sites in the Univeristi Teknologi Malaysia (UTM), Johor Bahru campus. A comparative economic analysis on the actual electricity bill for UTM with and without photovoltaic (PV) street lighting was performed. The finding shows that there is approximately 1% reduction in the electricity bill with the pay back period of 7.5 years for the complete installation of PV system. In selecting the suitable module for the PV street lighting, two types of PV technologies; amorphous Silicon and monocrystalline Silicon were studied and compared.","PeriodicalId":236620,"journal":{"name":"2008 12th International Middle-East Power System Conference","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123354126","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-03-12DOI: 10.1109/MEPCON.2008.4562356
T. Kawady, A.E. Ibrahim, A. Taalab
In this paper, a new fault detection scheme is proposed for transmission systems using Gabor transform (GT) for signal processing purposes instead of the conventional Fourier analysis methods. The detector uniquely detects both low impedance faults and high impedance ones with the same efficacy providing universal and precise fault detection for transmission systems. It utilizes GT as a feature extractor and artificial neural networks for pattern recognition and classification processes. The use of GT is motivated by the fact that the Gabor elementary functions have distinctively an optimal localization property in the joint time and frequency domains, which leads to optimal extraction of features from signals that is hard to be detected using conventional detectors. The generalization capability of the system allows detecting fault signals with very low fault currents and associated with, sharp and abrupt changes, dc decaying, non integer harmonics and non stationary quantities. The alternative transient program (ATP) is employed for the investigation phase. All simulation tests corroborate the superiority of the proposed detector for transmission system protection.
{"title":"A Gabor Transform-based universal fault detector for transmission lines","authors":"T. Kawady, A.E. Ibrahim, A. Taalab","doi":"10.1109/MEPCON.2008.4562356","DOIUrl":"https://doi.org/10.1109/MEPCON.2008.4562356","url":null,"abstract":"In this paper, a new fault detection scheme is proposed for transmission systems using Gabor transform (GT) for signal processing purposes instead of the conventional Fourier analysis methods. The detector uniquely detects both low impedance faults and high impedance ones with the same efficacy providing universal and precise fault detection for transmission systems. It utilizes GT as a feature extractor and artificial neural networks for pattern recognition and classification processes. The use of GT is motivated by the fact that the Gabor elementary functions have distinctively an optimal localization property in the joint time and frequency domains, which leads to optimal extraction of features from signals that is hard to be detected using conventional detectors. The generalization capability of the system allows detecting fault signals with very low fault currents and associated with, sharp and abrupt changes, dc decaying, non integer harmonics and non stationary quantities. The alternative transient program (ATP) is employed for the investigation phase. All simulation tests corroborate the superiority of the proposed detector for transmission system protection.","PeriodicalId":236620,"journal":{"name":"2008 12th International Middle-East Power System Conference","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121630409","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-03-12DOI: 10.1109/MEPCON.2008.4562319
M. El-Saadawi, M. Tantawy, A. Hatata
Harmonics is one of the major disturbances that affect the power quality of electric utilities. Many techniques were used to analyze the harmonics in power systems. These techniques generally have difficulties in determining the collective impact of distributed harmonic sources. This paper introduces a proposed methodology for analyzing harmonics in distribution systems with distributed harmonic sources. The method takes into account the effect of diversity and attenuation. The method is illustrated through a numerical application applied on a real distributor.
{"title":"A proposed methodology to analyze systems with distributed harmonic sources","authors":"M. El-Saadawi, M. Tantawy, A. Hatata","doi":"10.1109/MEPCON.2008.4562319","DOIUrl":"https://doi.org/10.1109/MEPCON.2008.4562319","url":null,"abstract":"Harmonics is one of the major disturbances that affect the power quality of electric utilities. Many techniques were used to analyze the harmonics in power systems. These techniques generally have difficulties in determining the collective impact of distributed harmonic sources. This paper introduces a proposed methodology for analyzing harmonics in distribution systems with distributed harmonic sources. The method takes into account the effect of diversity and attenuation. The method is illustrated through a numerical application applied on a real distributor.","PeriodicalId":236620,"journal":{"name":"2008 12th International Middle-East Power System Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130429126","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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