2021 5th International Conference on Electrical Engineering and Information Communication Technology (ICEEICT), 2021
Solar photovoltaic (PV) is heavily integrated with the power system network through power electro... more Solar photovoltaic (PV) is heavily integrated with the power system network through power electronic converters. Such power electronic converter-based distributed generators (DGs) increase the vulnerability of the system due to AC and DC side faults. This paper proposes an efficient adjustable duty-based controller of modified bridge fault current limiter (MBFCL) for solar PV integrated DG system. The advantages of the proposed approach are manifolds: simplest detection and control of system faults, autonomous duty to limit the fault current, and lossless operation during normal conditions. The detailed modeling for the MBFCL, solar PV, voltage source inverter (VSI) and DC-DC converter control, and fault detection and suppression control is presented. The MBFCL activation controller uses the simplest approach using point of common coupling (PCC) voltage and current. The root-mean-square (RMS) current deviation at PCC is used to adjust the duty cycle of MBFCL. To study the efficacy of the proposed control approach, several disturbances are applied in the system. The proposed approach outperforms in suppressing fault current over without current limiter and with traditional control-based current limiter as verified by the simulation studies.
Power system stabilizers (PSSs) have been used in the last few decades to serve the purpose of en... more Power system stabilizers (PSSs) have been used in the last few decades to serve the purpose of enhancing power system damping to low frequency oscillations. PSSs have proved to be efficient in performing their assigned tasks. A wide spectrum of PSS tuning approaches has been proposed [1–3]. However, they may adversely affect voltage profile and may not be able to suppress oscillations resulting from severe disturbances, such as three-phase faults at generator
2018 International Conference on Innovations in Science, Engineering and Technology (ICISET), 2018
High penetration of inverter based distributed generation (IBDG) in power system increases fault ... more High penetration of inverter based distributed generation (IBDG) in power system increases fault current level. However, according to new grid code fault current level must be kept within specified limit during contingencies in order to ease detrimental effect on power grid. This paper proposes series dynamic braking resistor (SDBR) based protection scheme for IBDG. SDBR is connected with the AC side of the IDBG to insert resistance during contingencies. Fault detection scheme is developed based on point of common coupling (PCC) current. DC link voltage controller of IBDG is developed with feedback mechanism such that the net active power exchange with DC link capacitor is zero. Inner current control strategy is developed for IBDG to transfer DG power to the grid. Different faults are applied in the system to show the effectiveness of the proposed SDBR based protection scheme. The proposed SDBR based control scheme have been found as an effective solution to limit the fault current for IBDG system as evident from the simulation results.
Page 1. Fault Location in SEC Interconnected Network Based on Synchronized Phasor Measurements Al... more Page 1. Fault Location in SEC Interconnected Network Based on Synchronized Phasor Measurements Ali H. Al-Mohammed Saudi Electricity Company-Eastern Operating Area Dammam, Saudi Arabia e-mail: ali200ahm@yahoo.com ...
Precise information of fault location plays a vital role in expediting the restoration process, a... more Precise information of fault location plays a vital role in expediting the restoration process, after being subjected to any kind of fault in power distribution grids. This paper proposed the Stockwell transform (ST) based optimized machine learning approach, to locate the faults and to identify the faulty sections in the distribution grids. This research employed the ST to extract useful features from the recorded three-phase current signals and fetches them as inputs to different machine learning tools (MLT), including the multilayer perceptron neural networks (MLP-NN), support vector machines (SVM), and extreme learning machines (ELM). The proposed approach employed the constriction-factor particle swarm optimization (CF-PSO) technique, to optimize the parameters of the SVM and ELM for their better generalization performance. Hence, it compared the obtained results of the test datasets in terms of the selected statistical performance indices, including the root mean squared error...
Phasor measurement units (PMUs) are becoming popular and populating the power system grids rapidl... more Phasor measurement units (PMUs) are becoming popular and populating the power system grids rapidly due to their wide range of benefits and applications. This research paper proposes a comprehensive, effective, and revised formulation of the optimal PMU placement (OPP) problem with a view to minimizing the required number of PMU and ensuring the maximum number of measurement redundancy subjected to the full observability of the distribution grids. The proposed formulation also incorporates the presence of passive measurements/zero injection buses (ZIB) and the channel availability of the installed PMU. Additionally, the formulation is extended to various contingency cases i.e., the single line outage and single PMU loss cases. This paper solves the proposed OPP formulation employing a heuristic technique called backtracking search algorithm (BSA) and tests its effectiveness through different IEEE standard distribution feeders. Additionally, this study compares the obtained results wi...
2017 6th International Conference on Clean Electrical Power (ICCEP), 2017
Electric spring (ES) is a novel smart grid technology, which is based on power electronic compone... more Electric spring (ES) is a novel smart grid technology, which is based on power electronic components. It has multitude of benefits associated with its widespread use at distribution level, which includes voltage profile enhancement, power imbalance mitigation, and power quality improvement. With the ever increasing need of incorporating intermittent renewable energy sources (RES), electric spring offers a viable solution to the problems linked with such energy sources. A new generation of electrical loads is also recently proposed, known as smart loads, which is the outcome of integrating electric spring in series with a non-critical load. This work proposes a novel control scheme for electric spring based on fuzzy logic to regulate mains voltage. Simulations are carried out for ES based on conventional PI controller, fuzzy logic controller, and adaptive fuzzy PI and their results are analytically compared.
2016 19th International Multi-Topic Conference (INMIC), 2016
Electric Spring (ES), a power electronic based device, has been recently developed to improve var... more Electric Spring (ES), a power electronic based device, has been recently developed to improve various attributes of future power systems with high penetration of intermittent renewable energy sources. ES is connected in series with non-critical load to form an adaptive load, known as smart load. This configuration has been successfully used to mitigate voltage and frequency fluctuations, ensure demand side management, and improve power quality. It has also been used to reduce three-phase power imbalance and so the adverse effect of neutral current is eliminated. In this work a novel control scheme, based on run time impedance measurement, is proposed to mitigate neutral current from unbalanced three-phase system. Mathematical analysis is also given and corresponding simulations are carried out to substantiate the theoretical framework. Simulation results show the efficacy of presented technique under various unbalanced loading conditions.
2021 5th International Conference on Electrical Engineering and Information Communication Technology (ICEEICT), 2021
Solar photovoltaic (PV) is heavily integrated with the power system network through power electro... more Solar photovoltaic (PV) is heavily integrated with the power system network through power electronic converters. Such power electronic converter-based distributed generators (DGs) increase the vulnerability of the system due to AC and DC side faults. This paper proposes an efficient adjustable duty-based controller of modified bridge fault current limiter (MBFCL) for solar PV integrated DG system. The advantages of the proposed approach are manifolds: simplest detection and control of system faults, autonomous duty to limit the fault current, and lossless operation during normal conditions. The detailed modeling for the MBFCL, solar PV, voltage source inverter (VSI) and DC-DC converter control, and fault detection and suppression control is presented. The MBFCL activation controller uses the simplest approach using point of common coupling (PCC) voltage and current. The root-mean-square (RMS) current deviation at PCC is used to adjust the duty cycle of MBFCL. To study the efficacy of the proposed control approach, several disturbances are applied in the system. The proposed approach outperforms in suppressing fault current over without current limiter and with traditional control-based current limiter as verified by the simulation studies.
Power system stabilizers (PSSs) have been used in the last few decades to serve the purpose of en... more Power system stabilizers (PSSs) have been used in the last few decades to serve the purpose of enhancing power system damping to low frequency oscillations. PSSs have proved to be efficient in performing their assigned tasks. A wide spectrum of PSS tuning approaches has been proposed [1–3]. However, they may adversely affect voltage profile and may not be able to suppress oscillations resulting from severe disturbances, such as three-phase faults at generator
2018 International Conference on Innovations in Science, Engineering and Technology (ICISET), 2018
High penetration of inverter based distributed generation (IBDG) in power system increases fault ... more High penetration of inverter based distributed generation (IBDG) in power system increases fault current level. However, according to new grid code fault current level must be kept within specified limit during contingencies in order to ease detrimental effect on power grid. This paper proposes series dynamic braking resistor (SDBR) based protection scheme for IBDG. SDBR is connected with the AC side of the IDBG to insert resistance during contingencies. Fault detection scheme is developed based on point of common coupling (PCC) current. DC link voltage controller of IBDG is developed with feedback mechanism such that the net active power exchange with DC link capacitor is zero. Inner current control strategy is developed for IBDG to transfer DG power to the grid. Different faults are applied in the system to show the effectiveness of the proposed SDBR based protection scheme. The proposed SDBR based control scheme have been found as an effective solution to limit the fault current for IBDG system as evident from the simulation results.
Page 1. Fault Location in SEC Interconnected Network Based on Synchronized Phasor Measurements Al... more Page 1. Fault Location in SEC Interconnected Network Based on Synchronized Phasor Measurements Ali H. Al-Mohammed Saudi Electricity Company-Eastern Operating Area Dammam, Saudi Arabia e-mail: ali200ahm@yahoo.com ...
Precise information of fault location plays a vital role in expediting the restoration process, a... more Precise information of fault location plays a vital role in expediting the restoration process, after being subjected to any kind of fault in power distribution grids. This paper proposed the Stockwell transform (ST) based optimized machine learning approach, to locate the faults and to identify the faulty sections in the distribution grids. This research employed the ST to extract useful features from the recorded three-phase current signals and fetches them as inputs to different machine learning tools (MLT), including the multilayer perceptron neural networks (MLP-NN), support vector machines (SVM), and extreme learning machines (ELM). The proposed approach employed the constriction-factor particle swarm optimization (CF-PSO) technique, to optimize the parameters of the SVM and ELM for their better generalization performance. Hence, it compared the obtained results of the test datasets in terms of the selected statistical performance indices, including the root mean squared error...
Phasor measurement units (PMUs) are becoming popular and populating the power system grids rapidl... more Phasor measurement units (PMUs) are becoming popular and populating the power system grids rapidly due to their wide range of benefits and applications. This research paper proposes a comprehensive, effective, and revised formulation of the optimal PMU placement (OPP) problem with a view to minimizing the required number of PMU and ensuring the maximum number of measurement redundancy subjected to the full observability of the distribution grids. The proposed formulation also incorporates the presence of passive measurements/zero injection buses (ZIB) and the channel availability of the installed PMU. Additionally, the formulation is extended to various contingency cases i.e., the single line outage and single PMU loss cases. This paper solves the proposed OPP formulation employing a heuristic technique called backtracking search algorithm (BSA) and tests its effectiveness through different IEEE standard distribution feeders. Additionally, this study compares the obtained results wi...
2017 6th International Conference on Clean Electrical Power (ICCEP), 2017
Electric spring (ES) is a novel smart grid technology, which is based on power electronic compone... more Electric spring (ES) is a novel smart grid technology, which is based on power electronic components. It has multitude of benefits associated with its widespread use at distribution level, which includes voltage profile enhancement, power imbalance mitigation, and power quality improvement. With the ever increasing need of incorporating intermittent renewable energy sources (RES), electric spring offers a viable solution to the problems linked with such energy sources. A new generation of electrical loads is also recently proposed, known as smart loads, which is the outcome of integrating electric spring in series with a non-critical load. This work proposes a novel control scheme for electric spring based on fuzzy logic to regulate mains voltage. Simulations are carried out for ES based on conventional PI controller, fuzzy logic controller, and adaptive fuzzy PI and their results are analytically compared.
2016 19th International Multi-Topic Conference (INMIC), 2016
Electric Spring (ES), a power electronic based device, has been recently developed to improve var... more Electric Spring (ES), a power electronic based device, has been recently developed to improve various attributes of future power systems with high penetration of intermittent renewable energy sources. ES is connected in series with non-critical load to form an adaptive load, known as smart load. This configuration has been successfully used to mitigate voltage and frequency fluctuations, ensure demand side management, and improve power quality. It has also been used to reduce three-phase power imbalance and so the adverse effect of neutral current is eliminated. In this work a novel control scheme, based on run time impedance measurement, is proposed to mitigate neutral current from unbalanced three-phase system. Mathematical analysis is also given and corresponding simulations are carried out to substantiate the theoretical framework. Simulation results show the efficacy of presented technique under various unbalanced loading conditions.
Uploads
Papers by M. A. Abido