Jamal Beiza - Academia.edu (original) (raw)
Papers by Jamal Beiza
International Transactions on Electrical Energy Systems
Electric power grids are always affected by numerous unexpected faults. Occurrence of these fault... more Electric power grids are always affected by numerous unexpected faults. Occurrence of these faults will have a negative impact on network availability and reliability indices of the network. But the indicators of reliability and quality of electrical energy in the network can be augmented by locating the fault in the shortest time. Special features of distribution networks such as load and network imbalance, existence of different types of load with different connections, existence of multiphase branches, effects related to different conductors, capacitive effects of distribution lines, and limited numbers of measuring devices complicate the process of fault localization in distribution networks. On the other hand, increasing penetration of distributed generation units has caused conventional methods of fault localization. Therefore, it is mandatory to introduce new methods of fault locating by considering the mentioned features. Hence, in the current study, nonlinear methods are pr...
Journal of Energy Storage
Turkish Journal of Electrical Engineering and Computer Sciences
This paper presents a novel approach for fault detection and identification in order to estimate ... more This paper presents a novel approach for fault detection and identification in order to estimate voltage sag during a fault. One of the best approaches for voltage sag estimation is instantaneous voltage estimation. The approach uses traditional state estimation where redundant measurements are available. The proposed method is used to estimate voltage sag performance during a fault. At the fault duration, the grid topology is changed. In such a case the measurement matrix must be re-determined at the fault duration. The proposed approach is an efficient method for fault detection and identification which is based on residual analysis and topology error detection. The performance of the novel approach is tested on an IEEE 14 bus system and the results are shown.
Journal of Electrical and Computer Engineering, 2022
Because of low losses and voltage drop, fast control of power, limitless connection distance, and... more Because of low losses and voltage drop, fast control of power, limitless connection distance, and isolation issues, using high-voltage direct-current (HVDC) transmission system is recommended to transfer power in the power systems, including wind farms. This paper aims to propose a supplementary damping controller (SDC) based on the HVDC to improve not only power system dynamic stability but also energy conversion efficiency and torsional vibration damping in the wind power plants (WPPs). When the WPPs are working in power control mode, the active power is set to its reference value, which is extracted from power-speed curve. This paper shows that torsional oscillations associated with the poorly torsional modes can be affected by different operating regions of the power-speed curve of WPP. Therefore, it is essential to employ an SDC to have the optimum energy conversion efficiency in the wind turbine and the most dynamic stability margin in the power system. The SDC is designed usi...
Journal of Central South University, 2016
The purpose of this paper is to improve the dynamic stability of power systems equipped with offs... more The purpose of this paper is to improve the dynamic stability of power systems equipped with offshore wind farms and HVDC transmission lines. Since wind farms are affected by environmental factors and cannot have a constant production capacity, the effect of wind turbine and HVDC system on power oscillation mode is investigated and a suitable solution for selecting input-output signals and stabilizing complementary controller design is proposed. In the proposed method, using the concepts of controllability, observability and decomposition of single values, the best path for the design of the complementary controller is selected among the input-output signals, then the stabilizer controller is designed based on neural networks and to improve frequency Stability-Voltage is used. The simulation results show that the proposed controller performs better than the classical controllers in terms of response speed, settling time, and voltage fluctuations in the presence of disturbances and c...
The International Journal of Electrical Engineering & Education, 2018
This paper describes an effective method of teaching power application software programming to un... more This paper describes an effective method of teaching power application software programming to undergraduate students of power system groups in an electrical engineering department. The paper demonstrates how to implement power application software modules on a power network. The first scope of this method is to develop a power application software state estimation module and grow student practical operational vision of power application software. Some experiments are implemented on a power grid. This grid has 320 buses and that is the biggest sub-transmission area of Iran power grid. Evaluation of this test over several semesters with more than 30 students is very positive. The results show that students’ motivation and confidence in understanding this test has been developed remarkably.
American Journal of Electrical Power and Energy Systems, 2016
Micro protection is one of the challenges ahead of micro network expansion. Micro network functio... more Micro protection is one of the challenges ahead of micro network expansion. Micro network functions in two states of connection to network and island. The short connection level of micro network is different at two functional levels. Therefore, the protection system which needs to diagnose the faults at two states would function improperly. In the preset article fault current limiter and oriented over-current relays optimal adjustment are implemented for micro network protection under the study. Additive particles optimal algorithm is used to adjust relays and fault current limiter impedance. The results show that by this method the micro networks can be secured at both two modes of functions.
Journal of Central South University, 2016
An input-output signal selection based on Phillips-Heffron model of a parallel high voltage alter... more An input-output signal selection based on Phillips-Heffron model of a parallel high voltage alternative current/high voltage direct current (HVAC/HVDC) power system is presented to study power system stability. It is well known that appropriate coupling of inputs-outputs signals in the multivariable HVDC-HVAC system can improve the performance of designed supplemetary controller. In this work, different analysis techniques are used to measure controllability and observability of electromechanical oscillation mode. Also inputs–outputs interactions are considered and suggestions are drawn to select the best signal pair through the system inputs-outputs. In addition, a supplementary online adaptive controller for nonlinear HVDC to damp low frequency oscillations in a weakly connected system is proposed. The results obtained using MATLAB software show that the best output-input for damping controller design is rotor speed deviation as out put and phase angle of rectifier as in put. Also response of system equipped with adaptive damping controller based on HVDC system has appropriate performance when it is faced with faults and disturbance.
22nd International Conference and Exhibition on Electricity Distribution (CIRED 2013), 2013
IET Generation, Transmission & Distribution, 2008
An intelligent approach for high impedance fault (HIF) detection in power distribution feeders us... more An intelligent approach for high impedance fault (HIF) detection in power distribution feeders using advanced signal-processing techniques such as time-time and time-frequency transforms combined with neural network is presented. As the detection of HIFs is generally difficult by the conventional over-current relays, both time and frequency information are required to be extracted to detect and classify HIF from no fault (NF). In the proposed approach, Sand TT-transforms are used to extract time-frequency and time-time distributions of the HIF and NF signals, respectively. The features extracted using Sand TT-transforms are used to train and test the probabilistic neural network (PNN) for an accurate classification of HIF from NF. A qualitative comparison is made between the HIF classification results obtained from feed forward neural network and PNN with same features as inputs. As the combined signal-processing techniques and PNN take one cycle for HIF identification from the fault inception, the proposed approach was found to be the most suitable for HIF classification in power distribution networks with wide variations in operating conditions.
IEEE Transactions on Education, 2005
This paper describes an efficient method of teaching impulse voltage testing of power transformer... more This paper describes an efficient method of teaching impulse voltage testing of power transformers to undergraduate students of power system groups in electrical engineering departments, as a part of a high-voltage course for senior undergraduate students. The paper shows how to simulate the power transformer and impulse generator to teach students the basics of impulse voltage testing of power transformers and to practice analyzing the test results. In the first part of the paper, the effect of wave shaping of the voltage waveform is simulated to teach the behavior of the impulse generator, and in the second part, impulse voltage testing of a transformer is simulated. Evaluation of the simulation over several semesters with more than 80 students is very positive in terms of their developing confidence in an understanding of this test.
Electrical Engineering, 2010
This paper presents a novel approach for voltage sag indices calculation based on instantaneous v... more This paper presents a novel approach for voltage sag indices calculation based on instantaneous voltage estimation. The estimation uses traditional state estimation where redundant measurements are available. The estimation is based on time domain state estimation which uses time domain modeling of the power network. The time domain current monitoring is used to have linear mapping and to achieve high
Iranian Journal of Electrical & Electronic …, 2009
This paper presents a novel approach for fault type estimation in power systems. The Fault type e... more This paper presents a novel approach for fault type estimation in power systems. The Fault type estimation is the first step to estimate instantaneous voltage, voltage sag magnitude and duration in a three-phase system at fault duration. The approach is based on time-domain state estimation where redundant measurements are available. The current based model allows a linear mapping between the measured variable and the states to be estimated. This paper shows a possible for fault instance detection, fault location identification and fault type estimation utilizing residual analysis and topology error processing. The idea is that the fault status does not change measurement matrix dimensions but changes some elements of the measurement matrix. The paper addresses how to rebuilt measurement matrix for each type of faults. The proposed algorithm is shown that the method has high effectiveness and high performance for forecasting fault type and for estimating instantaneous bus voltage. The performance of the novel approach is tested on IEEE 14-bus test system and the results are shown.
International Transactions on Electrical Energy Systems
Electric power grids are always affected by numerous unexpected faults. Occurrence of these fault... more Electric power grids are always affected by numerous unexpected faults. Occurrence of these faults will have a negative impact on network availability and reliability indices of the network. But the indicators of reliability and quality of electrical energy in the network can be augmented by locating the fault in the shortest time. Special features of distribution networks such as load and network imbalance, existence of different types of load with different connections, existence of multiphase branches, effects related to different conductors, capacitive effects of distribution lines, and limited numbers of measuring devices complicate the process of fault localization in distribution networks. On the other hand, increasing penetration of distributed generation units has caused conventional methods of fault localization. Therefore, it is mandatory to introduce new methods of fault locating by considering the mentioned features. Hence, in the current study, nonlinear methods are pr...
Journal of Energy Storage
Turkish Journal of Electrical Engineering and Computer Sciences
This paper presents a novel approach for fault detection and identification in order to estimate ... more This paper presents a novel approach for fault detection and identification in order to estimate voltage sag during a fault. One of the best approaches for voltage sag estimation is instantaneous voltage estimation. The approach uses traditional state estimation where redundant measurements are available. The proposed method is used to estimate voltage sag performance during a fault. At the fault duration, the grid topology is changed. In such a case the measurement matrix must be re-determined at the fault duration. The proposed approach is an efficient method for fault detection and identification which is based on residual analysis and topology error detection. The performance of the novel approach is tested on an IEEE 14 bus system and the results are shown.
Journal of Electrical and Computer Engineering, 2022
Because of low losses and voltage drop, fast control of power, limitless connection distance, and... more Because of low losses and voltage drop, fast control of power, limitless connection distance, and isolation issues, using high-voltage direct-current (HVDC) transmission system is recommended to transfer power in the power systems, including wind farms. This paper aims to propose a supplementary damping controller (SDC) based on the HVDC to improve not only power system dynamic stability but also energy conversion efficiency and torsional vibration damping in the wind power plants (WPPs). When the WPPs are working in power control mode, the active power is set to its reference value, which is extracted from power-speed curve. This paper shows that torsional oscillations associated with the poorly torsional modes can be affected by different operating regions of the power-speed curve of WPP. Therefore, it is essential to employ an SDC to have the optimum energy conversion efficiency in the wind turbine and the most dynamic stability margin in the power system. The SDC is designed usi...
Journal of Central South University, 2016
The purpose of this paper is to improve the dynamic stability of power systems equipped with offs... more The purpose of this paper is to improve the dynamic stability of power systems equipped with offshore wind farms and HVDC transmission lines. Since wind farms are affected by environmental factors and cannot have a constant production capacity, the effect of wind turbine and HVDC system on power oscillation mode is investigated and a suitable solution for selecting input-output signals and stabilizing complementary controller design is proposed. In the proposed method, using the concepts of controllability, observability and decomposition of single values, the best path for the design of the complementary controller is selected among the input-output signals, then the stabilizer controller is designed based on neural networks and to improve frequency Stability-Voltage is used. The simulation results show that the proposed controller performs better than the classical controllers in terms of response speed, settling time, and voltage fluctuations in the presence of disturbances and c...
The International Journal of Electrical Engineering & Education, 2018
This paper describes an effective method of teaching power application software programming to un... more This paper describes an effective method of teaching power application software programming to undergraduate students of power system groups in an electrical engineering department. The paper demonstrates how to implement power application software modules on a power network. The first scope of this method is to develop a power application software state estimation module and grow student practical operational vision of power application software. Some experiments are implemented on a power grid. This grid has 320 buses and that is the biggest sub-transmission area of Iran power grid. Evaluation of this test over several semesters with more than 30 students is very positive. The results show that students’ motivation and confidence in understanding this test has been developed remarkably.
American Journal of Electrical Power and Energy Systems, 2016
Micro protection is one of the challenges ahead of micro network expansion. Micro network functio... more Micro protection is one of the challenges ahead of micro network expansion. Micro network functions in two states of connection to network and island. The short connection level of micro network is different at two functional levels. Therefore, the protection system which needs to diagnose the faults at two states would function improperly. In the preset article fault current limiter and oriented over-current relays optimal adjustment are implemented for micro network protection under the study. Additive particles optimal algorithm is used to adjust relays and fault current limiter impedance. The results show that by this method the micro networks can be secured at both two modes of functions.
Journal of Central South University, 2016
An input-output signal selection based on Phillips-Heffron model of a parallel high voltage alter... more An input-output signal selection based on Phillips-Heffron model of a parallel high voltage alternative current/high voltage direct current (HVAC/HVDC) power system is presented to study power system stability. It is well known that appropriate coupling of inputs-outputs signals in the multivariable HVDC-HVAC system can improve the performance of designed supplemetary controller. In this work, different analysis techniques are used to measure controllability and observability of electromechanical oscillation mode. Also inputs–outputs interactions are considered and suggestions are drawn to select the best signal pair through the system inputs-outputs. In addition, a supplementary online adaptive controller for nonlinear HVDC to damp low frequency oscillations in a weakly connected system is proposed. The results obtained using MATLAB software show that the best output-input for damping controller design is rotor speed deviation as out put and phase angle of rectifier as in put. Also response of system equipped with adaptive damping controller based on HVDC system has appropriate performance when it is faced with faults and disturbance.
22nd International Conference and Exhibition on Electricity Distribution (CIRED 2013), 2013
IET Generation, Transmission & Distribution, 2008
An intelligent approach for high impedance fault (HIF) detection in power distribution feeders us... more An intelligent approach for high impedance fault (HIF) detection in power distribution feeders using advanced signal-processing techniques such as time-time and time-frequency transforms combined with neural network is presented. As the detection of HIFs is generally difficult by the conventional over-current relays, both time and frequency information are required to be extracted to detect and classify HIF from no fault (NF). In the proposed approach, Sand TT-transforms are used to extract time-frequency and time-time distributions of the HIF and NF signals, respectively. The features extracted using Sand TT-transforms are used to train and test the probabilistic neural network (PNN) for an accurate classification of HIF from NF. A qualitative comparison is made between the HIF classification results obtained from feed forward neural network and PNN with same features as inputs. As the combined signal-processing techniques and PNN take one cycle for HIF identification from the fault inception, the proposed approach was found to be the most suitable for HIF classification in power distribution networks with wide variations in operating conditions.
IEEE Transactions on Education, 2005
This paper describes an efficient method of teaching impulse voltage testing of power transformer... more This paper describes an efficient method of teaching impulse voltage testing of power transformers to undergraduate students of power system groups in electrical engineering departments, as a part of a high-voltage course for senior undergraduate students. The paper shows how to simulate the power transformer and impulse generator to teach students the basics of impulse voltage testing of power transformers and to practice analyzing the test results. In the first part of the paper, the effect of wave shaping of the voltage waveform is simulated to teach the behavior of the impulse generator, and in the second part, impulse voltage testing of a transformer is simulated. Evaluation of the simulation over several semesters with more than 80 students is very positive in terms of their developing confidence in an understanding of this test.
Electrical Engineering, 2010
This paper presents a novel approach for voltage sag indices calculation based on instantaneous v... more This paper presents a novel approach for voltage sag indices calculation based on instantaneous voltage estimation. The estimation uses traditional state estimation where redundant measurements are available. The estimation is based on time domain state estimation which uses time domain modeling of the power network. The time domain current monitoring is used to have linear mapping and to achieve high
Iranian Journal of Electrical & Electronic …, 2009
This paper presents a novel approach for fault type estimation in power systems. The Fault type e... more This paper presents a novel approach for fault type estimation in power systems. The Fault type estimation is the first step to estimate instantaneous voltage, voltage sag magnitude and duration in a three-phase system at fault duration. The approach is based on time-domain state estimation where redundant measurements are available. The current based model allows a linear mapping between the measured variable and the states to be estimated. This paper shows a possible for fault instance detection, fault location identification and fault type estimation utilizing residual analysis and topology error processing. The idea is that the fault status does not change measurement matrix dimensions but changes some elements of the measurement matrix. The paper addresses how to rebuilt measurement matrix for each type of faults. The proposed algorithm is shown that the method has high effectiveness and high performance for forecasting fault type and for estimating instantaneous bus voltage. The performance of the novel approach is tested on IEEE 14-bus test system and the results are shown.