Pub Date : 2023-01-01DOI: 10.5455/jjee.204-1671373457
Afshin Dadkhah, A. Daghighi
In this paper, a capacitance model for near threshold voltage computation of Ultra-Thin-Body and BOX (UTBB) Double-Insulating (DI) Silicon-on-Diamond (SOD) MOSFET is proposed. The transistor has a second insulating layer on top of the first insulating layer of a conventional SOD MOSFET which partially covers the diamond layer. The device’s simulation results of the front- and back-gate threshold voltages and the computed model’s threshold voltages - in terms of gate oxide thickness, silicon film layer thickness, first and second insulating layer thicknesses - are compared. In addition, length of the source/drain overlap with the second insulating layer is varied and the device simulation results are compared with those of the model findings. Results of the aforesaid comparison are found to be promising; more than 20 mV change in front-gate threshold voltage is observed at the range of 5 nm to 43 nm. Moreover, the model is found to be applicable in computations of front- and back-gate threshold voltage of 22 nm DI UTBB SOD MOSFET for low drain voltages. Finally, the model’s physical findings present insight on the device’s parameters that directly influence the threshold voltage
{"title":"A Capacitance Model for Front- and Back-Gate Threshold Voltage Computation of Ultra-Thin-Body and BOX Double-Insulating Silicon-on-Diamond MOSFET","authors":"Afshin Dadkhah, A. Daghighi","doi":"10.5455/jjee.204-1671373457","DOIUrl":"https://doi.org/10.5455/jjee.204-1671373457","url":null,"abstract":"In this paper, a capacitance model for near threshold voltage computation of Ultra-Thin-Body and BOX (UTBB) Double-Insulating (DI) Silicon-on-Diamond (SOD) MOSFET is proposed. The transistor has a second insulating layer on top of the first insulating layer of a conventional SOD MOSFET which partially covers the diamond layer. The device’s simulation results of the front- and back-gate threshold voltages and the computed model’s threshold voltages - in terms of gate oxide thickness, silicon film layer thickness, first and second insulating layer thicknesses - are compared. In addition, length of the source/drain overlap with the second insulating layer is varied and the device simulation results are compared with those of the model findings. Results of the aforesaid comparison are found to be promising; more than 20 mV change in front-gate threshold voltage is observed at the range of 5 nm to 43 nm. Moreover, the model is found to be applicable in computations of front- and back-gate threshold voltage of 22 nm DI UTBB SOD MOSFET for low drain voltages. Finally, the model’s physical findings present insight on the device’s parameters that directly influence the threshold voltage","PeriodicalId":29729,"journal":{"name":"Jordan Journal of Electrical Engineering","volume":"1 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70823215","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 : 2023-01-01DOI: 10.5455/jjee.204-1669909560
Samar Nour, S. Habashy, Sameh A. Salem
Nowadays, embedded device applications have become partially correlated and can share platform resources. Cross-execution and sharing resources can cause memory access conflicts, especially in the Last Level Cache (LLC). LLC is a promising candidate for improving system performance on multicore embedded systems. It leads to a reduction in the number of high-latency main memory accesses. Currently, commercial devices can use cache partitioning. The software could better utilize the LLC and conserve energy by caching. This paper proposes a new energy-optimization model for embedded multicore systems based on a reconfigurable artificial neural network LLC architecture. The proposed model uses a machine-learning approach to express the reconfiguration of LLC, and can predict each task’s next interval LLC partitioning factor at runtime. The obtained experimental results reveal that the proposed model - compared to other algorithms - improves energy consumption by 28%, and gives 33% reduction in the LLC miss rate.
{"title":"Energy-Efficient Cache Partitioning Using Machine Learning for Embedded Systems","authors":"Samar Nour, S. Habashy, Sameh A. Salem","doi":"10.5455/jjee.204-1669909560","DOIUrl":"https://doi.org/10.5455/jjee.204-1669909560","url":null,"abstract":"Nowadays, embedded device applications have become partially correlated and can share platform resources. Cross-execution and sharing resources can cause memory access conflicts, especially in the Last Level Cache (LLC). LLC is a promising candidate for improving system performance on multicore embedded systems. It leads to a reduction in the number of high-latency main memory accesses. Currently, commercial devices can use cache partitioning. The software could better utilize the LLC and conserve energy by caching. This paper proposes a new energy-optimization model for embedded multicore systems based on a reconfigurable artificial neural network LLC architecture. The proposed model uses a machine-learning approach to express the reconfiguration of LLC, and can predict each task’s next interval LLC partitioning factor at runtime. The obtained experimental results reveal that the proposed model - compared to other algorithms - improves energy consumption by 28%, and gives 33% reduction in the LLC miss rate.","PeriodicalId":29729,"journal":{"name":"Jordan Journal of Electrical Engineering","volume":"1 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70822465","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 : 2023-01-01DOI: 10.5455/jjee.204-1669034454
Kidist Zergaw, M. Tuka
Doubly Fed Induction Generator (DFIG) is the most widely employed generator in the Wind Energy Conversion Systems (WECS) for the production of electricity. However, despite all of its various advantages, it is extremely vulnerable to grid faults such as voltage dip since its stator is directly coupled to the grid. A voltage dip problem is one the main issues among the power quality concerns. This fault causes the flow of excessive current across both the stator and the rotor terminals, which may lead to serious damage to the generator, power converters, and DC Link capacitor. On the other hand, the current Grid Codes (GC) requires the system to stay connected to the grid during this fault condition and support it in healing its nominal voltage. This capacity of the system is known as the Low Voltage Ride Through (LVRT) capacity. For the system to achieve such capacity, appropriate protection mechanisms or controlling strategies must be utilized. Therefore, in this paper, the crowbar protection technique, PI controller, and the Adaptive Neuro-Fuzzy Inference System (ANFIS) controller are employed. Furthermore, the performance of the system employing PI, crowbar, and ANFIS is analyzed and compared under grid fault conditions, i.e., a voltage dip with a magnitude of 0.1 pu (worst case) using MATLAB/Simulink software and based on actual data obtained from Adama II wind farm. The obtained results unveil that the settling time of ANFIS for controlling the rotor currents in d and q axes (idr and iqr) and DC link voltage is 3.6 s, 3.57 s, and 3.4 s, respectively. On the other hand, the settling times of the PI controller for controlling the rotor currents in d and q axes and the DC link voltage are found to be 4 s, 3.91 s, and 45.2 s, respectively, while the crowbar protection technique’s settling times are found to be 4 s, 6 s, and 4.9 s, respectively. It is evident from the aforesaid results that the ANFIS controller provides the best performance of the three strategies since it allows both the rotor currents and the DC link voltage to return to their steady state values faster than the other two techniques, employed in this investigation.
{"title":"Analysis of Voltage Dip Impact on Doubly Fed Induction Generator under Dynamic Conditions","authors":"Kidist Zergaw, M. Tuka","doi":"10.5455/jjee.204-1669034454","DOIUrl":"https://doi.org/10.5455/jjee.204-1669034454","url":null,"abstract":"Doubly Fed Induction Generator (DFIG) is the most widely employed generator in the Wind Energy Conversion Systems (WECS) for the production of electricity. However, despite all of its various advantages, it is extremely vulnerable to grid faults such as voltage dip since its stator is directly coupled to the grid. A voltage dip problem is one the main issues among the power quality concerns. This fault causes the flow of excessive current across both the stator and the rotor terminals, which may lead to serious damage to the generator, power converters, and DC Link capacitor. On the other hand, the current Grid Codes (GC) requires the system to stay connected to the grid during this fault condition and support it in healing its nominal voltage. This capacity of the system is known as the Low Voltage Ride Through (LVRT) capacity. For the system to achieve such capacity, appropriate protection mechanisms or controlling strategies must be utilized. Therefore, in this paper, the crowbar protection technique, PI controller, and the Adaptive Neuro-Fuzzy Inference System (ANFIS) controller are employed. Furthermore, the performance of the system employing PI, crowbar, and ANFIS is analyzed and compared under grid fault conditions, i.e., a voltage dip with a magnitude of 0.1 pu (worst case) using MATLAB/Simulink software and based on actual data obtained from Adama II wind farm. The obtained results unveil that the settling time of ANFIS for controlling the rotor currents in d and q axes (idr and iqr) and DC link voltage is 3.6 s, 3.57 s, and 3.4 s, respectively. On the other hand, the settling times of the PI controller for controlling the rotor currents in d and q axes and the DC link voltage are found to be 4 s, 3.91 s, and 45.2 s, respectively, while the crowbar protection technique’s settling times are found to be 4 s, 6 s, and 4.9 s, respectively. It is evident from the aforesaid results that the ANFIS controller provides the best performance of the three strategies since it allows both the rotor currents and the DC link voltage to return to their steady state values faster than the other two techniques, employed in this investigation.","PeriodicalId":29729,"journal":{"name":"Jordan Journal of Electrical Engineering","volume":"1 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70822769","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 : 2023-01-01DOI: 10.5455/jjee.204-1673429561
A. Alshbatat
Monitoring the pollution index in smart cities has piqued the interest of researchers in designing and developing unmanned aerial vehicles (UAV) capable of carrying several sensors. Recent advancements in drone technology, as well as rapid expansion in air pollution sensor technologies, have presented valuable alternatives for air quality monitoring and management in smart cities. Fixed stations are now used in smart cities to measure air pollution and collect precise data on air quality. However, such data is highly sufficient in making decisions that can improve people lives; monitoring stations require an adaptable and large communication network that is capable to handle such huge data. Instead of having such an expensive and complex network, drones could be considered an easy and cheap alternative to the current systems. In this regard, an aerial system that is equipped with off-the-shelf low-cost micro-sensors is designed and implemented to monitor air quality at a specific location inside a smart city. The behavior of the aerial system is controlled by our proposed Air Quality-Driven Control Algorithm (AQDCA). Hexacopter Drone, in particular, will fly up to a predetermined height, measure air pollutants, activate the on-board AQDCA, and then return to its ground location. The entire system was developed, implemented, and tested in a real-world flight test. The testing results corroborate the system’s practicality and demonstrate that the prototype may be simply implemented to provide an added-value service to smart city citizens.
{"title":"Development of Autonomous Hexacopter UAVs for Smart City Air Quality Management","authors":"A. Alshbatat","doi":"10.5455/jjee.204-1673429561","DOIUrl":"https://doi.org/10.5455/jjee.204-1673429561","url":null,"abstract":"Monitoring the pollution index in smart cities has piqued the interest of researchers in designing and developing unmanned aerial vehicles (UAV) capable of carrying several sensors. Recent advancements in drone technology, as well as rapid expansion in air pollution sensor technologies, have presented valuable alternatives for air quality monitoring and management in smart cities. Fixed stations are now used in smart cities to measure air pollution and collect precise data on air quality. However, such data is highly sufficient in making decisions that can improve people lives; monitoring stations require an adaptable and large communication network that is capable to handle such huge data. Instead of having such an expensive and complex network, drones could be considered an easy and cheap alternative to the current systems. In this regard, an aerial system that is equipped with off-the-shelf low-cost micro-sensors is designed and implemented to monitor air quality at a specific location inside a smart city. The behavior of the aerial system is controlled by our proposed Air Quality-Driven Control Algorithm (AQDCA). Hexacopter Drone, in particular, will fly up to a predetermined height, measure air pollutants, activate the on-board AQDCA, and then return to its ground location. The entire system was developed, implemented, and tested in a real-world flight test. The testing results corroborate the system’s practicality and demonstrate that the prototype may be simply implemented to provide an added-value service to smart city citizens.","PeriodicalId":29729,"journal":{"name":"Jordan Journal of Electrical Engineering","volume":"1 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70823278","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 : 2023-01-01DOI: 10.5455/jjee.204-1670146602
F. Dincer, Emre Ozer
In this paper, a grid-connected rooftop photovoltaic (PV) system is proposed to fulfill the electricity needs of Gaziantep Islamic Science and Technology University (GIBTU) in Turkey. The proposed system is to be placed on the roof of the Faculty of Engineering and Natural Sciences, which is considered as the most complex and challenging roof on campus. The system production of electricity - taking into account the possible losses caused by light-induced deterioration, soiling, etc. - is determined. The obtained simulation results reveal that installing a 121 kW PV system will be sufficient for meeting the electricity needs of the Faculty of Engineering and Natural Sciences alone, since such system is capable of generating 197.7 MWh annually with an efficiency of 81.51%. However, in order to meet the needs of the whole university, a 933.1 kW PV system - with generation capability of 1524.9 MWh/year - is required. Also, the obtained results unveil that deploying the proposed system - with its relatively low payback period of 2.19 years - will prevent the release of 989.35 tons/year of CO2 emissions into the atmosphere.
{"title":"Assessing the Potential of a Rooftop Grid-Connected Photovoltaic System for Gaziantep Islamic Science and Technology University/ Turkey","authors":"F. Dincer, Emre Ozer","doi":"10.5455/jjee.204-1670146602","DOIUrl":"https://doi.org/10.5455/jjee.204-1670146602","url":null,"abstract":"In this paper, a grid-connected rooftop photovoltaic (PV) system is proposed to fulfill the electricity needs of Gaziantep Islamic Science and Technology University (GIBTU) in Turkey. The proposed system is to be placed on the roof of the Faculty of Engineering and Natural Sciences, which is considered as the most complex and challenging roof on campus. The system production of electricity - taking into account the possible losses caused by light-induced deterioration, soiling, etc. - is determined. The obtained simulation results reveal that installing a 121 kW PV system will be sufficient for meeting the electricity needs of the Faculty of Engineering and Natural Sciences alone, since such system is capable of generating 197.7 MWh annually with an efficiency of 81.51%. However, in order to meet the needs of the whole university, a 933.1 kW PV system - with generation capability of 1524.9 MWh/year - is required. Also, the obtained results unveil that deploying the proposed system - with its relatively low payback period of 2.19 years - will prevent the release of 989.35 tons/year of CO2 emissions into the atmosphere.","PeriodicalId":29729,"journal":{"name":"Jordan Journal of Electrical Engineering","volume":"1 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70822563","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 : 2022-01-01DOI: 10.5455/jjee.204-1612774767
Suha A. Issa, Mahmoud Ayyoub, O. Khaleel, N. Elmitwally
This paper is the first step in an effort toward building automatic speech recognition (ASR) system for Quranic recitations that caters specifically to female reciters. To function properly, ASR systems require a huge amount of data for training. Surprisingly, the data readily available for Quranic recitations suffer from major limitations. Specifically, the currently available audio recordings of Quran recitations have massive volume, but they are mostly done by male reciters (who have dedicated most of their lives to perfecting their recitation skills) using professional and expensive equipment. Such proficiency in the training data (along with the fact that the reciters come from a specific demographic group; adult males) will most likely lead to some bias in the resulting model and limit their ability to process input from other groups, such as non-/semi-professionals, females or children. This work aims at empirically exploring this shortcoming. To do so, we create a first-of-its-kind (to the best of our knowledge) benchmark dataset called the Quran recitations by females and males (QRFAM) dataset. QRFAM is a relatively big dataset of audio recordings made by male and female reciters from different age groups and proficiency levels. After creating the dataset, we experiment on it by building ASR systems based on one of the most popular open-source ASR models, which is the celebrated DeepSpeech model from Mozilla. The speaker-independent end-to-end models, that we produce, are evaluated using word error rate (WER). Despite DeepSpeech’s known flexibility and prowess (which is shown when trained and tested on recitations from the same group), the models trained on the recitations of one group could not recognize most of the recitations done by the other groups in the testing phase. This shows that there is still a long way to go in order to produce an ASR system that can be used by anyone and the first step is to build and expand the resources needed for this such as QRFAM. Hopefully, our work will be the first step in this direction and it will inspire the community to take more interest in this problem.
{"title":"Towards Building a Speech Recognition System for Quranic Recitations: A Pilot Study Involving Female Reciters.","authors":"Suha A. Issa, Mahmoud Ayyoub, O. Khaleel, N. Elmitwally","doi":"10.5455/jjee.204-1612774767","DOIUrl":"https://doi.org/10.5455/jjee.204-1612774767","url":null,"abstract":"This paper is the first step in an effort toward building automatic speech recognition (ASR) system for Quranic recitations that caters specifically to female reciters. To function properly, ASR systems require a huge amount of data for training. Surprisingly, the data readily available for Quranic recitations suffer from major limitations. Specifically, the currently available audio recordings of Quran recitations have massive volume, but they are mostly done by male reciters (who have dedicated most of their lives to perfecting their recitation skills) using professional and expensive equipment. Such proficiency in the training data (along with the fact that the reciters come from a specific demographic group; adult males) will most likely lead to some bias in the resulting model and limit their ability to process input from other groups, such as non-/semi-professionals, females or children. This work aims at empirically exploring this shortcoming. To do so, we create a first-of-its-kind (to the best of our knowledge) benchmark dataset called the Quran recitations by females and males (QRFAM) dataset. QRFAM is a relatively big dataset of audio recordings made by male and female reciters from different age groups and proficiency levels. After creating the dataset, we experiment on it by building ASR systems based on one of the most popular open-source ASR models, which is the celebrated DeepSpeech model from Mozilla. The speaker-independent end-to-end models, that we produce, are evaluated using word error rate (WER). Despite DeepSpeech’s known flexibility and prowess (which is shown when trained and tested on recitations from the same group), the models trained on the recitations of one group could not recognize most of the recitations done by the other groups in the testing phase. This shows that there is still a long way to go in order to produce an ASR system that can be used by anyone and the first step is to build and expand the resources needed for this such as QRFAM. Hopefully, our work will be the first step in this direction and it will inspire the community to take more interest in this problem.","PeriodicalId":29729,"journal":{"name":"Jordan Journal of Electrical Engineering","volume":"1 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70821606","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 : 2022-01-01DOI: 10.5455/jjee.204-1654330119
Aouda A. Arfoa, Eyad K. Almaita, Saleh Alshkoor, Maan Shloul
Battery energy storage systems (BESSs) are considered one of the most developed energy storage system (ESS) technologies because they have different benefits for distribution networks like smoothening the output fluctuations, improving the power quality, peak load shifting, voltage support and delaying the distribution network upgrade. This work involves integrating a BESS into a 33 KV distribution network in Jordan. CYME software is used to assess the impact of BESS at Almanara PV power plant on the 33 KV medium voltage network. The voltage level, power losses, power factor (PF) and voltage step are chosen as performance indicators. For each of these indices, comparisons between the grid performance with and without the BESS are carried out. In addition, the payback period of the BESS is calculated. The obtained results reveal that BESS not only improves the voltage level – with an overall improvement of about 3.03% at both feeders – but also reduces the losses, with an overall reduction in losses of 4.68% at both feeders. BESS is found to decrease the PF with an average of 0.83 at both feeders, while the voltage step doesn’t exceed the limits set by the International Electro-technical Commission (IEC). Additionally, the performed economic analysis unveils that the payback period is about 10.98 years.
{"title":"Techno-Economic Feasibility Analysis of On-Grid Battery Energy Storage System: Almanara PV Power Plant Case Study","authors":"Aouda A. Arfoa, Eyad K. Almaita, Saleh Alshkoor, Maan Shloul","doi":"10.5455/jjee.204-1654330119","DOIUrl":"https://doi.org/10.5455/jjee.204-1654330119","url":null,"abstract":"Battery energy storage systems (BESSs) are considered one of the most developed energy storage system (ESS) technologies because they have different benefits for distribution networks like smoothening the output fluctuations, improving the power quality, peak load shifting, voltage support and delaying the distribution network upgrade. This work involves integrating a BESS into a 33 KV distribution network in Jordan. CYME software is used to assess the impact of BESS at Almanara PV power plant on the 33 KV medium voltage network. The voltage level, power losses, power factor (PF) and voltage step are chosen as performance indicators. For each of these indices, comparisons between the grid performance with and without the BESS are carried out. In addition, the payback period of the BESS is calculated. The obtained results reveal that BESS not only improves the voltage level – with an overall improvement of about 3.03% at both feeders – but also reduces the losses, with an overall reduction in losses of 4.68% at both feeders. BESS is found to decrease the PF with an average of 0.83 at both feeders, while the voltage step doesn’t exceed the limits set by the International Electro-technical Commission (IEC). Additionally, the performed economic analysis unveils that the payback period is about 10.98 years.","PeriodicalId":29729,"journal":{"name":"Jordan Journal of Electrical Engineering","volume":"1 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70821969","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 : 2022-01-01DOI: 10.5455/jjee.204-1643827749
Salman Harasis
Droop control is one of the control strategies utilized to establish a simple, effective, and a communication-less power sharing between several distributed generators (DGs) in power systems and microgrid networks. In this paper, the control of an inverter-based system operating with the proposed droop control is developed and analyzed. The proposed droop control with its adjustable nonlinearity level aims to flexibly control the DGs in order to fulfill multiple objectives that aim to stabilize the operation of the sources and optimize the power sharing. These objectives can be achieved, simultaneously, as the droop characteristics generated under the proposed control cover all the possible operating points in the frequency-active power (f-P) and voltage- reactive power (V-Q) planes. The capability of the proposed control strategy to construct highly non-linear characteristics enables the DG to effectively meet different complex technical and economic constraints. The work carried out in this paper focuses on the f-P droop relation, and investigates the system performance under different physical and control parameters. The obtained results show that the proposed droop control is able to perform well under different operating conditions, shape the power sharing of the running DGs and stabilize the system performance.
{"title":"Development of a Droop Control Strategy for Flexible Operation of Distributed Generators","authors":"Salman Harasis","doi":"10.5455/jjee.204-1643827749","DOIUrl":"https://doi.org/10.5455/jjee.204-1643827749","url":null,"abstract":"Droop control is one of the control strategies utilized to establish a simple, effective, and a communication-less power sharing between several distributed generators (DGs) in power systems and microgrid networks. In this paper, the control of an inverter-based system operating with the proposed droop control is developed and analyzed. The proposed droop control with its adjustable nonlinearity level aims to flexibly control the DGs in order to fulfill multiple objectives that aim to stabilize the operation of the sources and optimize the power sharing. These objectives can be achieved, simultaneously, as the droop characteristics generated under the proposed control cover all the possible operating points in the frequency-active power (f-P) and voltage- reactive power (V-Q) planes. The capability of the proposed control strategy to construct highly non-linear characteristics enables the DG to effectively meet different complex technical and economic constraints. The work carried out in this paper focuses on the f-P droop relation, and investigates the system performance under different physical and control parameters. The obtained results show that the proposed droop control is able to perform well under different operating conditions, shape the power sharing of the running DGs and stabilize the system performance.","PeriodicalId":29729,"journal":{"name":"Jordan Journal of Electrical Engineering","volume":"1 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70822072","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 : 2022-01-01DOI: 10.5455/jjee.204-1658671735
M. Mahmoud
In this paper, daylight harvesting is used to minimize the power consumption - required for indoor lighting - using electric roller blind. Smart controller is designed to adjust - based on the preset light intensity - the position of the roller blind’s stepper motor, and consequently the roller blind opening for better utilization of the daylight entering the room. If the desired illuminance level (IL) is not achieved for any reason, the smart controller adjusts the LED circuit current to boost the light intensity to achieve precisely the desired IL. Comprehensive tests - carried out using MATLAB-Simulink to verify the performance of the proposed smart controller – reveal that the proposed controller successfully maintains the indoor lighting intensity at the desired IL. Results of the techno-economic analysis - performed to evaluate the benefits of employing the proposed controller – show that an energy saving of about 62% is achieved, and that the lifetime of the LED circuits can extend to more than 20 years.
{"title":"Indoor-Lighting System Design Using Simultaneous Control of LEDs Lighting Intensity and Roller Blinds’ Opening for Economic Energy Consumption.","authors":"M. Mahmoud","doi":"10.5455/jjee.204-1658671735","DOIUrl":"https://doi.org/10.5455/jjee.204-1658671735","url":null,"abstract":"In this paper, daylight harvesting is used to minimize the power consumption - required for indoor lighting - using electric roller blind. Smart controller is designed to adjust - based on the preset light intensity - the position of the roller blind’s stepper motor, and consequently the roller blind opening for better utilization of the daylight entering the room. If the desired illuminance level (IL) is not achieved for any reason, the smart controller adjusts the LED circuit current to boost the light intensity to achieve precisely the desired IL. Comprehensive tests - carried out using MATLAB-Simulink to verify the performance of the proposed smart controller – reveal that the proposed controller successfully maintains the indoor lighting intensity at the desired IL. Results of the techno-economic analysis - performed to evaluate the benefits of employing the proposed controller – show that an energy saving of about 62% is achieved, and that the lifetime of the LED circuits can extend to more than 20 years.","PeriodicalId":29729,"journal":{"name":"Jordan Journal of Electrical Engineering","volume":"1 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70822159","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 : 2022-01-01DOI: 10.5455/jjee.204-1631327590
Y. Omura
{"title":"The Impact of Light Illumination on Capacitance-Voltage Characteristics of Constant-Current-Stressed Metal-Oxide-Semiconductor Capacitors","authors":"Y. Omura","doi":"10.5455/jjee.204-1631327590","DOIUrl":"https://doi.org/10.5455/jjee.204-1631327590","url":null,"abstract":"","PeriodicalId":29729,"journal":{"name":"Jordan Journal of Electrical Engineering","volume":"1 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70822233","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：