Pub Date : 2022-03-07DOI: 10.1109/ICPEA53519.2022.9744674
Harmini, M. Ashari
The output power of a Photovoltaic (PV) system is affected by changing of weather conditions such as temperature and irradiance. However, the PV characteristic curve has a certain point called the maximum power point (MPP). An algorithm is needed to ensure the PV at the Maximum Power Point, which is called the MPPT Algorithm. This algorithm must be able to produce maximum power in rapidly changing weather condition. In this paper, simulation justification of an Adaptive Neuro Fuzzy Inference System ANFIS-PSO based on MPPT PV controller has been provided to reach MPPT PV. Simulation system consist of three simulations: Variable Temperature and Constant Irradiance; Variable Irradiance and Constant Temperature; Variable Temperature and Variable Irradiance as Simultaneous. The performance of the ANFIS-PSO controller method is compared to Perturb and Observe (P&O) and Incremental Conductance (Inc). It provides fast response, precise and accurate PV tracking under rapidly changing weather conditions like irradiance and temperature. The simulation show that the PV system has been functional with zero steady state error and rapid tracking convergence velocity under highly irradiation. An ANFIS-PSO has better performance tracking ability compared with conventional method like P&O and Inc for proper training under uniform and ununiform weather conditions. An ANFIS-PSO can generate the output active power which is higher than another controller. The efficiency of an ANFIS-PSO reach 98.36% in Standard Test Condition (STC). The main contribution of this proposed method for academic knowledge is to obtain the best MPPT configuration based on ANFIS-PSO algorithm and acceptance of MPPT controller design.
{"title":"Optimalization of ANFIS-PSO Algorithm Based on MPPT Control for PV System Under Rapidly Changing Weather Condition","authors":"Harmini, M. Ashari","doi":"10.1109/ICPEA53519.2022.9744674","DOIUrl":"https://doi.org/10.1109/ICPEA53519.2022.9744674","url":null,"abstract":"The output power of a Photovoltaic (PV) system is affected by changing of weather conditions such as temperature and irradiance. However, the PV characteristic curve has a certain point called the maximum power point (MPP). An algorithm is needed to ensure the PV at the Maximum Power Point, which is called the MPPT Algorithm. This algorithm must be able to produce maximum power in rapidly changing weather condition. In this paper, simulation justification of an Adaptive Neuro Fuzzy Inference System ANFIS-PSO based on MPPT PV controller has been provided to reach MPPT PV. Simulation system consist of three simulations: Variable Temperature and Constant Irradiance; Variable Irradiance and Constant Temperature; Variable Temperature and Variable Irradiance as Simultaneous. The performance of the ANFIS-PSO controller method is compared to Perturb and Observe (P&O) and Incremental Conductance (Inc). It provides fast response, precise and accurate PV tracking under rapidly changing weather conditions like irradiance and temperature. The simulation show that the PV system has been functional with zero steady state error and rapid tracking convergence velocity under highly irradiation. An ANFIS-PSO has better performance tracking ability compared with conventional method like P&O and Inc for proper training under uniform and ununiform weather conditions. An ANFIS-PSO can generate the output active power which is higher than another controller. The efficiency of an ANFIS-PSO reach 98.36% in Standard Test Condition (STC). The main contribution of this proposed method for academic knowledge is to obtain the best MPPT configuration based on ANFIS-PSO algorithm and acceptance of MPPT controller design.","PeriodicalId":371063,"journal":{"name":"2022 IEEE International Conference in Power Engineering Application (ICPEA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130718087","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 : 2022-03-07DOI: 10.1109/ICPEA53519.2022.9744712
H. Hashim, Syamimi Fitrah Binti Salihudin, P. Saad
In this era, the Internet of Things (IoT) has mainly been used in the advancement of technology since the Internet has become part of our daily life and one of the smart inventions to implement with IoT is a health monitoring system. Therefore, a healthcare monitoring system based on IoT with multiple sensors and a smart security system is introduced in this paper. The system was designed with a pulse sensor for the heartbeat, an infrared thermometer sensor for body temperature, and a DHT11 sensor for humidity and room temperature. The sensors relied on the Arduino used to monitor the patient's condition and the collected data were displayed on the LCD with the implementation of the Wi-Fi module, the data was sent and stored to ThingSpeak (cloud platform). If the sensor read the abnormal reading from the patient, a short message service (SMS) was sent to the cell phone through Global System for Mobile (GSM) to notify immediately the family or doctor. The performance of the pulse sensor and temperature sensor was tested with various experiments. Based on the comparison of sensors with the existing device, the percentage error for the infrared thermometer sensor was 1.2%.
{"title":"Development of IoT Based Healthcare Monitoring System","authors":"H. Hashim, Syamimi Fitrah Binti Salihudin, P. Saad","doi":"10.1109/ICPEA53519.2022.9744712","DOIUrl":"https://doi.org/10.1109/ICPEA53519.2022.9744712","url":null,"abstract":"In this era, the Internet of Things (IoT) has mainly been used in the advancement of technology since the Internet has become part of our daily life and one of the smart inventions to implement with IoT is a health monitoring system. Therefore, a healthcare monitoring system based on IoT with multiple sensors and a smart security system is introduced in this paper. The system was designed with a pulse sensor for the heartbeat, an infrared thermometer sensor for body temperature, and a DHT11 sensor for humidity and room temperature. The sensors relied on the Arduino used to monitor the patient's condition and the collected data were displayed on the LCD with the implementation of the Wi-Fi module, the data was sent and stored to ThingSpeak (cloud platform). If the sensor read the abnormal reading from the patient, a short message service (SMS) was sent to the cell phone through Global System for Mobile (GSM) to notify immediately the family or doctor. The performance of the pulse sensor and temperature sensor was tested with various experiments. Based on the comparison of sensors with the existing device, the percentage error for the infrared thermometer sensor was 1.2%.","PeriodicalId":371063,"journal":{"name":"2022 IEEE International Conference in Power Engineering Application (ICPEA)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123173339","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 : 2022-03-07DOI: 10.1109/ICPEA53519.2022.9744706
M. Le, D. D. Nguyen, Quoc-Cuong Nguyen, Duc Thinh Dao
In this paper, a novel dual-band Wi-Fi energy harvester based on a human-ring-shaped multi-band antenna and a dual-band rectifier for indoor autonomous IoT devices is presented. The dual-band and compact rectenna harvests energy from a Wi-Fi source with the measured efficiency of 30% at 2.45 GHz (input power of −4.6 dBm) and 7% at 5.5 GHz (input power of −6.8 dBm), respectively. The multi-band antenna has a quasi-omnidirectional radiation pattern to receive energy from multi-direction for the real application. This renewable energy solution is potential for self-powered indoor IoT device.
{"title":"Dual-Band Wi-Fi Energy Harvester toward Indoor Autonomous IoT Devices","authors":"M. Le, D. D. Nguyen, Quoc-Cuong Nguyen, Duc Thinh Dao","doi":"10.1109/ICPEA53519.2022.9744706","DOIUrl":"https://doi.org/10.1109/ICPEA53519.2022.9744706","url":null,"abstract":"In this paper, a novel dual-band Wi-Fi energy harvester based on a human-ring-shaped multi-band antenna and a dual-band rectifier for indoor autonomous IoT devices is presented. The dual-band and compact rectenna harvests energy from a Wi-Fi source with the measured efficiency of 30% at 2.45 GHz (input power of −4.6 dBm) and 7% at 5.5 GHz (input power of −6.8 dBm), respectively. The multi-band antenna has a quasi-omnidirectional radiation pattern to receive energy from multi-direction for the real application. This renewable energy solution is potential for self-powered indoor IoT device.","PeriodicalId":371063,"journal":{"name":"2022 IEEE International Conference in Power Engineering Application (ICPEA)","volume":"20 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134194868","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 : 2022-03-07DOI: 10.1109/ICPEA53519.2022.9744678
M. Ahmad, S. Baharin, N. Yusop, Mona Riza Mohd Esa, M. Sidik
In the tropics, the occurrence of positive Cloud-to-Ground (CG) flash is less frequent, but it can produce strokes with higher peak currents than negative CG. Thus, positive CG flashes are potentially more fatal and dangerous than negative CG flashes. Moreover, a recent study found that positive CG flashes are related to flash flood occurrence. In this paper, electromagnetic fields of 63 positive CG flashes detected from a storm when a flash flood event happened in Malacca on 20 October 2021 are analyzed. All positive CG flashes have been detected close to the lightning sensor located in Universiti Teknikal Malaysia Melaka where some of the flashes were detected within reversal distance. The characteristics of the slow electric field changes show that the cloud responsible for the flash flood event was having an ordinary tripolar charge structure.
{"title":"Occurrence of Positive Cloud-to-Ground Lightning During Flash Flood in Malacca","authors":"M. Ahmad, S. Baharin, N. Yusop, Mona Riza Mohd Esa, M. Sidik","doi":"10.1109/ICPEA53519.2022.9744678","DOIUrl":"https://doi.org/10.1109/ICPEA53519.2022.9744678","url":null,"abstract":"In the tropics, the occurrence of positive Cloud-to-Ground (CG) flash is less frequent, but it can produce strokes with higher peak currents than negative CG. Thus, positive CG flashes are potentially more fatal and dangerous than negative CG flashes. Moreover, a recent study found that positive CG flashes are related to flash flood occurrence. In this paper, electromagnetic fields of 63 positive CG flashes detected from a storm when a flash flood event happened in Malacca on 20 October 2021 are analyzed. All positive CG flashes have been detected close to the lightning sensor located in Universiti Teknikal Malaysia Melaka where some of the flashes were detected within reversal distance. The characteristics of the slow electric field changes show that the cloud responsible for the flash flood event was having an ordinary tripolar charge structure.","PeriodicalId":371063,"journal":{"name":"2022 IEEE International Conference in Power Engineering Application (ICPEA)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115424609","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 : 2022-03-07DOI: 10.1109/ICPEA53519.2022.9744687
Faten Nadhirah Johan, N. F. Ab Aziz, Z. M. Khurshid, Z. M. Yasin, N. A. Salim
During geomagnetic storms, geomagnetic induced current (GIC) is generated on the earth surface. GIC passes from the earth soil into the neutral grounded transformers, resulting in half-cycle saturation. Half-cycle saturation increases the reactive power absorption of the transformer, generating significant harmonic currents, leading to a problem of voltage control and transformer heating. The aim of this paper is to investigate the GIC impacts and mitigation method on a hybrid PV power system network using the Power Systems Computer-Aided Design (PSCAD) software. The network consists of a PV plant, wind farm, and loads connected to 0.480 kV busbar. GIC is modelled as a controlled DC voltage source and injected into the hybrid PV system through a neutral of the wind turbine (WT) transformer. Different GIC mitigation devices via resistor and capacitor placement have been applied to eliminate the GIC impacts on the hybrid system. In this paper, three case studies have been conducted and the simulation results are compared to analyse GIC impacts in the hybrid PV power system network.
{"title":"Geomagnetic Induced Current Analysis In A Hybrid PV Power System Network","authors":"Faten Nadhirah Johan, N. F. Ab Aziz, Z. M. Khurshid, Z. M. Yasin, N. A. Salim","doi":"10.1109/ICPEA53519.2022.9744687","DOIUrl":"https://doi.org/10.1109/ICPEA53519.2022.9744687","url":null,"abstract":"During geomagnetic storms, geomagnetic induced current (GIC) is generated on the earth surface. GIC passes from the earth soil into the neutral grounded transformers, resulting in half-cycle saturation. Half-cycle saturation increases the reactive power absorption of the transformer, generating significant harmonic currents, leading to a problem of voltage control and transformer heating. The aim of this paper is to investigate the GIC impacts and mitigation method on a hybrid PV power system network using the Power Systems Computer-Aided Design (PSCAD) software. The network consists of a PV plant, wind farm, and loads connected to 0.480 kV busbar. GIC is modelled as a controlled DC voltage source and injected into the hybrid PV system through a neutral of the wind turbine (WT) transformer. Different GIC mitigation devices via resistor and capacitor placement have been applied to eliminate the GIC impacts on the hybrid system. In this paper, three case studies have been conducted and the simulation results are compared to analyse GIC impacts in the hybrid PV power system network.","PeriodicalId":371063,"journal":{"name":"2022 IEEE International Conference in Power Engineering Application (ICPEA)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125629537","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 : 2022-03-07DOI: 10.1109/ICPEA53519.2022.9744673
Z. M. Yasin, N. A. Salim, H. Mohamad
Integration of Wind-Turbine Generation (WTG) in distribution network has proven to bring various benefits such as carbon emission reduction, power quality improvement, power loss reduction etc. However, the inappropriate planning of WTG will result in greater system losses, incurred higher installation costs and worsen the performance. Therefore, in this paper, Grey Wolf Optimizer (GWO) is proposed to solve the optimal location and sizing of WTG problems. GWO is an optimization technique developed by Seyedali Mirjalili based on the searching and hunting behavior of grey wolf. To analyze the effectiveness of the aforementioned technique, GWO is applied in IEEE-69 bus radial distribution test system for various objective functions such as total cost minimization, voltage profile improvement and power loss minimization. Evolutionary Programming (EP) is used to compare the simulated results. From the results obtained, it shows that GWO provide better solutions for all three objective functions with faster computation time.
{"title":"Optimal Location and Sizing of Wind-Turbine Generation using Grey Wolf Optimizer","authors":"Z. M. Yasin, N. A. Salim, H. Mohamad","doi":"10.1109/ICPEA53519.2022.9744673","DOIUrl":"https://doi.org/10.1109/ICPEA53519.2022.9744673","url":null,"abstract":"Integration of Wind-Turbine Generation (WTG) in distribution network has proven to bring various benefits such as carbon emission reduction, power quality improvement, power loss reduction etc. However, the inappropriate planning of WTG will result in greater system losses, incurred higher installation costs and worsen the performance. Therefore, in this paper, Grey Wolf Optimizer (GWO) is proposed to solve the optimal location and sizing of WTG problems. GWO is an optimization technique developed by Seyedali Mirjalili based on the searching and hunting behavior of grey wolf. To analyze the effectiveness of the aforementioned technique, GWO is applied in IEEE-69 bus radial distribution test system for various objective functions such as total cost minimization, voltage profile improvement and power loss minimization. Evolutionary Programming (EP) is used to compare the simulated results. From the results obtained, it shows that GWO provide better solutions for all three objective functions with faster computation time.","PeriodicalId":371063,"journal":{"name":"2022 IEEE International Conference in Power Engineering Application (ICPEA)","volume":"339 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122295772","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 : 2022-03-07DOI: 10.1109/ICPEA53519.2022.9744662
Muhammad Irfan Danial Mohd. Norhan, N. A. Salim, Z. M. Yasin, H. Mohamad
This paper described the formulation of mathematical block model for a tidal energy system through the application of MATLAB/Simulink software. This mathematical block model is made up of five primary modelling blocks. These are the turbine, drive train, controller, generator, and converter. The five modelling blocks represent the real-life elements of a tidal power generation system. The simulation aims to show through mathematical equation how a tidal energy system operates based on a tidal stream generator. A d-q reference frame is used as the base for the mathematical modelling. The simulation results will then be analyzed to demonstrate the system's viability as a power generation system. The simulation will produce results in the forms of tidal turbine speed, kinetic energy, voltage and current output, and power produced by the turbine and generator. These results will show whether the system is capable of generating a significant amount of energy and power for an electrical power generation system. The tidal energy study's significance is it will present the importance of renewable energy in electricity generation to the world.
{"title":"Tidal Energy System Based on Tidal Stream Generator with the Implementation of Permanent Magnet Synchronous Generator","authors":"Muhammad Irfan Danial Mohd. Norhan, N. A. Salim, Z. M. Yasin, H. Mohamad","doi":"10.1109/ICPEA53519.2022.9744662","DOIUrl":"https://doi.org/10.1109/ICPEA53519.2022.9744662","url":null,"abstract":"This paper described the formulation of mathematical block model for a tidal energy system through the application of MATLAB/Simulink software. This mathematical block model is made up of five primary modelling blocks. These are the turbine, drive train, controller, generator, and converter. The five modelling blocks represent the real-life elements of a tidal power generation system. The simulation aims to show through mathematical equation how a tidal energy system operates based on a tidal stream generator. A d-q reference frame is used as the base for the mathematical modelling. The simulation results will then be analyzed to demonstrate the system's viability as a power generation system. The simulation will produce results in the forms of tidal turbine speed, kinetic energy, voltage and current output, and power produced by the turbine and generator. These results will show whether the system is capable of generating a significant amount of energy and power for an electrical power generation system. The tidal energy study's significance is it will present the importance of renewable energy in electricity generation to the world.","PeriodicalId":371063,"journal":{"name":"2022 IEEE International Conference in Power Engineering Application (ICPEA)","volume":"694 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132707376","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 : 2022-03-07DOI: 10.1109/ICPEA53519.2022.9744650
Mohamad Ramdan F Herawan, M. I. Sudrajat, F. Leferink, D. Hamdani
Voltage disturbance, as well as other power quality issues which include electromagnetic interference phenomena, are dangerous power quality issues that can cause sensitive equipment to fail, especially in industrial or hospital environments. Identifying voltage disturbance has an important role to mitigate the degradation of power quality disturbances due to their negative impact on the equipment. The Neural network is used to identify voltage disturbance. This paper presents a combination of identification of voltage disturbance by using a neural network with a multipoint measurement method. This method simplifies the identification of voltage disturbance at multiple point using only one measurement.
{"title":"Voltage Disturbance Identification using Neural Network","authors":"Mohamad Ramdan F Herawan, M. I. Sudrajat, F. Leferink, D. Hamdani","doi":"10.1109/ICPEA53519.2022.9744650","DOIUrl":"https://doi.org/10.1109/ICPEA53519.2022.9744650","url":null,"abstract":"Voltage disturbance, as well as other power quality issues which include electromagnetic interference phenomena, are dangerous power quality issues that can cause sensitive equipment to fail, especially in industrial or hospital environments. Identifying voltage disturbance has an important role to mitigate the degradation of power quality disturbances due to their negative impact on the equipment. The Neural network is used to identify voltage disturbance. This paper presents a combination of identification of voltage disturbance by using a neural network with a multipoint measurement method. This method simplifies the identification of voltage disturbance at multiple point using only one measurement.","PeriodicalId":371063,"journal":{"name":"2022 IEEE International Conference in Power Engineering Application (ICPEA)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128758172","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 : 2022-03-07DOI: 10.1109/ICPEA53519.2022.9744692
H. Mohamad, M. Muda, N. A. Salim, Z. M. Yasin, K. Naidu
The interconnection of distributed generation (DG) into the utility network can create possible islanding formations. The islanding can give negative impacts on the utility personnel safety and the public. Therefore, an islanding detection technique is significantly important to detect islanding and disconnect the DG from the utility network as quickly as possible. Among the available islanding detection techniques, the hybrid technique of islanding detection was proposed in this study by combining two techniques: (1) the rate of change of frequency over active power (df/dP) and (2) PQ load insertion. A simulation study was also carried out on a distribution test system connected with a synchronous generator to evaluate the proposed technique using the PSCAD software. Then, various case studies were conducted, and the results validate that the proposed technique was able to detect islanding effectively and accurately.
{"title":"Islanding Detection Based on Rate of Change of Frequency over Active Power and PQ Load Insertion for Synchronous Distributed Generation","authors":"H. Mohamad, M. Muda, N. A. Salim, Z. M. Yasin, K. Naidu","doi":"10.1109/ICPEA53519.2022.9744692","DOIUrl":"https://doi.org/10.1109/ICPEA53519.2022.9744692","url":null,"abstract":"The interconnection of distributed generation (DG) into the utility network can create possible islanding formations. The islanding can give negative impacts on the utility personnel safety and the public. Therefore, an islanding detection technique is significantly important to detect islanding and disconnect the DG from the utility network as quickly as possible. Among the available islanding detection techniques, the hybrid technique of islanding detection was proposed in this study by combining two techniques: (1) the rate of change of frequency over active power (df/dP) and (2) PQ load insertion. A simulation study was also carried out on a distribution test system connected with a synchronous generator to evaluate the proposed technique using the PSCAD software. Then, various case studies were conducted, and the results validate that the proposed technique was able to detect islanding effectively and accurately.","PeriodicalId":371063,"journal":{"name":"2022 IEEE International Conference in Power Engineering Application (ICPEA)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127169647","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 : 2022-03-07DOI: 10.1109/ICPEA53519.2022.9744672
Z. Hamid, N. A. Salim, Nur Atiqah Abdul Rahman, Siti Aisyah Al-Shafiqah Aminuddin
In a large scale power network, maintaining the magnitude of bus voltages within nominal operating level at all buses is a vital requirement. With such condition, the system will have an optimal transmission line performance with minimum power losses and no overloading issue. To achieve this, the power flow along transmission line ought to be properly controlled using special devices like the Unified Power Flow Controller (UPFC) - a multipurpose device which can control power flow by modifying the voltage magnitude, phase angle and impedance of transmission lines. Hence, this paper proposes a technique for mitigating voltage level and real power losses in transmission system using optimal placement of UPFC and Evolutionary Programming (EP). The implementation of the proposed technique involved IEEE 14-bus reliability test system. Experiment and analysis has justified the capability of EP-based UPFC placement for voltage stability improvement and power loss minimization as well.
{"title":"Mitigation of Voltage Level and Real Power Loss in Transmission System via Optimal UPFC Placement","authors":"Z. Hamid, N. A. Salim, Nur Atiqah Abdul Rahman, Siti Aisyah Al-Shafiqah Aminuddin","doi":"10.1109/ICPEA53519.2022.9744672","DOIUrl":"https://doi.org/10.1109/ICPEA53519.2022.9744672","url":null,"abstract":"In a large scale power network, maintaining the magnitude of bus voltages within nominal operating level at all buses is a vital requirement. With such condition, the system will have an optimal transmission line performance with minimum power losses and no overloading issue. To achieve this, the power flow along transmission line ought to be properly controlled using special devices like the Unified Power Flow Controller (UPFC) - a multipurpose device which can control power flow by modifying the voltage magnitude, phase angle and impedance of transmission lines. Hence, this paper proposes a technique for mitigating voltage level and real power losses in transmission system using optimal placement of UPFC and Evolutionary Programming (EP). The implementation of the proposed technique involved IEEE 14-bus reliability test system. Experiment and analysis has justified the capability of EP-based UPFC placement for voltage stability improvement and power loss minimization as well.","PeriodicalId":371063,"journal":{"name":"2022 IEEE International Conference in Power Engineering Application (ICPEA)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121886356","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：