Pub Date : 2023-02-10DOI: 10.1109/PIECON56912.2023.10085846
Kundan Anand, A. Mittal, Bhavnesh Kumar
This paper investigates the effects of load and operating temperature variation on fuel cell voltage, current, hydrogen consumption and efficiency using a generic PEMFC of 1.26kW capacity. Based on the obtained results, it is clear that the efficiency of the generic PEMFC is highest at a constant operating temperature i.e. 101.86°. The nominal efficiency of generic PEMFC i.e. 50%, can be enhanced to a maximum and minimum of 79% and 69% respectively depending on the load connected to PEMFC. Sensitivity analyzer tool has been used in for sensitivity analysis and MATLAB Simulink has been used for the simulation of generic PEMFC model.
{"title":"Sensitivity Analysis of Generic PEMFC to Operating Temperature and Load Variations","authors":"Kundan Anand, A. Mittal, Bhavnesh Kumar","doi":"10.1109/PIECON56912.2023.10085846","DOIUrl":"https://doi.org/10.1109/PIECON56912.2023.10085846","url":null,"abstract":"This paper investigates the effects of load and operating temperature variation on fuel cell voltage, current, hydrogen consumption and efficiency using a generic PEMFC of 1.26kW capacity. Based on the obtained results, it is clear that the efficiency of the generic PEMFC is highest at a constant operating temperature i.e. 101.86°. The nominal efficiency of generic PEMFC i.e. 50%, can be enhanced to a maximum and minimum of 79% and 69% respectively depending on the load connected to PEMFC. Sensitivity analyzer tool has been used in for sensitivity analysis and MATLAB Simulink has been used for the simulation of generic PEMFC model.","PeriodicalId":182428,"journal":{"name":"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134196227","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 : 2023-02-10DOI: 10.1109/PIECON56912.2023.10085848
A. Riyaz, Samar Jeet Singh, Shailendra Kumar, Mohammed Asim, Asim Rahman Ansari
Multi-phase (more than three phase) is being increasingly used in many applications. Due to higher phase numbers, there is more possibility for a multi-phase system to have unbalancing between different phase voltages in comparison to a three-phase system. Performance and behaviour of a multi-phase system under unbalance condition is of much importance. Conversion of an unbalanced system to a balanced system was proposed by C. L. Fortescue and balanced components was given the name ‘‘symmetrical components In this paper three-to-five phase transformation has been analysed under various unbalanced conditions using simulation and experimental analysis. Symmetrical components transformation of a five-phase system is presented and determination of active and reactive power with the help of symmetrical components is developed. Furthermore, sequence circuit of three-to-five phase transformation is developed to model various operating conditions. With this modelling, the degree and nature of different unbalances and their effects on the system can be predicted in advance. Both simulation and laboratory tests results for a three-to-five-phase transformation is presented. It has been concluded that experimental results are well in line with the analytical results.
多相(多于三相)在许多应用中得到越来越多的应用。由于相数较高，与三相系统相比，多相系统在不同相电压之间出现不平衡的可能性更大。多相系统在不平衡状态下的性能和行为是非常重要的。C. L. Fortescue提出将不平衡系统转换为平衡系统，并将平衡元件命名为“对称元件”。本文通过仿真和实验分析，分析了各种不平衡条件下的三到五相变换。介绍了五相系统的对称分量变换，提出了利用对称分量确定有功功率和无功功率的方法。此外，还开发了三到五相变换的顺序电路，以模拟各种工况。利用该模型，可以提前预测不同不平衡的程度和性质及其对系统的影响。给出了三到五相变换的仿真和实验室测试结果。实验结果与分析结果吻合较好。
{"title":"Analysis of Three-Phase to Five-Phase System Under Unbalance condition","authors":"A. Riyaz, Samar Jeet Singh, Shailendra Kumar, Mohammed Asim, Asim Rahman Ansari","doi":"10.1109/PIECON56912.2023.10085848","DOIUrl":"https://doi.org/10.1109/PIECON56912.2023.10085848","url":null,"abstract":"Multi-phase (more than three phase) is being increasingly used in many applications. Due to higher phase numbers, there is more possibility for a multi-phase system to have unbalancing between different phase voltages in comparison to a three-phase system. Performance and behaviour of a multi-phase system under unbalance condition is of much importance. Conversion of an unbalanced system to a balanced system was proposed by C. L. Fortescue and balanced components was given the name ‘‘symmetrical components In this paper three-to-five phase transformation has been analysed under various unbalanced conditions using simulation and experimental analysis. Symmetrical components transformation of a five-phase system is presented and determination of active and reactive power with the help of symmetrical components is developed. Furthermore, sequence circuit of three-to-five phase transformation is developed to model various operating conditions. With this modelling, the degree and nature of different unbalances and their effects on the system can be predicted in advance. Both simulation and laboratory tests results for a three-to-five-phase transformation is presented. It has been concluded that experimental results are well in line with the analytical results.","PeriodicalId":182428,"journal":{"name":"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133698817","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 : 2023-02-10DOI: 10.1109/PIECON56912.2023.10085901
Ronalisa Padhi, Bhanu Pratap Behera, K. Mohanty, Pavan Daramukala
Brushless Direct Current (BLDC) motors are one of the most rapidly expanding motor types. The modelling and control of a solar-powered BLDC motor drive are discussed in this paper. Solar photovoltaic (SPV) panels are linked to the three-phase Voltage Source Inverter (VSI) that uses a DC-DC Interleaved Boost converter (IBC) to power the BLDC motor. When operating under different dynamic conditions, Maximum Power Point Tracking (MPPT) control algorithms can enhance the effectiveness of photovoltaic (PV) plants. PV systems have variable outputs that change with temperature and irradiance levels. When using a traditional boost converter, we experience a significant voltage ripple. When compared to a typical boost converter, the power electronics converter IBC aids in reducing ripple in power, input current, and output voltage. The analysis and design of two-stage IBCs are presented in this paper. Because of its great efficiency and dependability, enhanced performance, and low cost, BLDC motors are the ideal choice. The system under consideration, as well as the control mechanism, are formulated and simulated in the MATLAB-Simulink. With inclusion of battery through bidirectional DC-DC converter, a constant and uninterrupted power supply is maintained despite shifting loads and irradiances. The battery’s charging and discharging modes are also considered in this chapter.
{"title":"Integrated SPV-Battery BLDC Motor Drive Powered By Interleaved Boost Converter","authors":"Ronalisa Padhi, Bhanu Pratap Behera, K. Mohanty, Pavan Daramukala","doi":"10.1109/PIECON56912.2023.10085901","DOIUrl":"https://doi.org/10.1109/PIECON56912.2023.10085901","url":null,"abstract":"Brushless Direct Current (BLDC) motors are one of the most rapidly expanding motor types. The modelling and control of a solar-powered BLDC motor drive are discussed in this paper. Solar photovoltaic (SPV) panels are linked to the three-phase Voltage Source Inverter (VSI) that uses a DC-DC Interleaved Boost converter (IBC) to power the BLDC motor. When operating under different dynamic conditions, Maximum Power Point Tracking (MPPT) control algorithms can enhance the effectiveness of photovoltaic (PV) plants. PV systems have variable outputs that change with temperature and irradiance levels. When using a traditional boost converter, we experience a significant voltage ripple. When compared to a typical boost converter, the power electronics converter IBC aids in reducing ripple in power, input current, and output voltage. The analysis and design of two-stage IBCs are presented in this paper. Because of its great efficiency and dependability, enhanced performance, and low cost, BLDC motors are the ideal choice. The system under consideration, as well as the control mechanism, are formulated and simulated in the MATLAB-Simulink. With inclusion of battery through bidirectional DC-DC converter, a constant and uninterrupted power supply is maintained despite shifting loads and irradiances. The battery’s charging and discharging modes are also considered in this chapter.","PeriodicalId":182428,"journal":{"name":"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)","volume":"217 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115489722","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}
Increasing penetration of electric vehicles (EVs) mandates the adoption of scheduling strategies to mitigate adverse effects of their charging load on distribution system. EVs scheduling is a multi-objective problem where the objectives fall in the interest of either EV users or distribution system operator (DSO). Therefore, this paper aims to deal with multi-objective scheduling of EVs to couple the interest of both the entities. To consider the interest of EV users, an economic objective of minimizing the charging cost is considered whereas to address the interest of DSO a technical objective of load levelling is considered. A multi-objective grey wolf optimization (MOGWO) is used to handle the conflicting objectives followed by technique for order preference by similarity to ideal solution (TOPSIS) based approach for obtaining trade-off solution. In addition, uncertainty in forecasted load demand and electricity price is handled using interval optimization. Results show that EVs scheduling with interval optimization is more robust as compared to optimistic and pessimistic cases.
{"title":"Interval Optimization Technique Based Multi-Objective Scheduling of Electric Vehicles","authors":"Abhishek Kharra, Rajive Tiwari, Jyotsna Singh, Tanuj Rawat","doi":"10.1109/PIECON56912.2023.10085895","DOIUrl":"https://doi.org/10.1109/PIECON56912.2023.10085895","url":null,"abstract":"Increasing penetration of electric vehicles (EVs) mandates the adoption of scheduling strategies to mitigate adverse effects of their charging load on distribution system. EVs scheduling is a multi-objective problem where the objectives fall in the interest of either EV users or distribution system operator (DSO). Therefore, this paper aims to deal with multi-objective scheduling of EVs to couple the interest of both the entities. To consider the interest of EV users, an economic objective of minimizing the charging cost is considered whereas to address the interest of DSO a technical objective of load levelling is considered. A multi-objective grey wolf optimization (MOGWO) is used to handle the conflicting objectives followed by technique for order preference by similarity to ideal solution (TOPSIS) based approach for obtaining trade-off solution. In addition, uncertainty in forecasted load demand and electricity price is handled using interval optimization. Results show that EVs scheduling with interval optimization is more robust as compared to optimistic and pessimistic cases.","PeriodicalId":182428,"journal":{"name":"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121988255","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 : 2023-02-10DOI: 10.1109/PIECON56912.2023.10085810
Raymon Antony Raj, S. Murugesan, R. Sarathi, Sarathkumar D
Long short-term memory (LSTM) network deep learning research have become an effective method for foreseeing responses with respect to time. A neural network model called LSTM uses a time series or a data sequence to predict future occurrences. The breakdown voltage of non-edible natural ester compounds like pongamia oil (PO) and its modified counterpart, MPO, is predicted by this machine learning model. The 500 observations of the 30-day measurement of the Dielectric Breakdown Voltage for the PO and MPO are recorded according to IEC 60156 standards. These observations serve as the input for the LSTM-based deep learning model created in MATLAB. When compared to the other prediction model, the LSTM model predicts outcomes quite well. The RMSE and loss of the LSTM model show less divergence from the forecast of MPO’s Dielectric Breakdown Voltage than do those of other prediction techniques. MPO limitations demonstrate its longer lifespan. As a result, MPO continues to have better dielectric characteristics.
{"title":"Investigating and predicting the dielectric performance of non-edible Natural Ester using LSTM-based deep learning model","authors":"Raymon Antony Raj, S. Murugesan, R. Sarathi, Sarathkumar D","doi":"10.1109/PIECON56912.2023.10085810","DOIUrl":"https://doi.org/10.1109/PIECON56912.2023.10085810","url":null,"abstract":"Long short-term memory (LSTM) network deep learning research have become an effective method for foreseeing responses with respect to time. A neural network model called LSTM uses a time series or a data sequence to predict future occurrences. The breakdown voltage of non-edible natural ester compounds like pongamia oil (PO) and its modified counterpart, MPO, is predicted by this machine learning model. The 500 observations of the 30-day measurement of the Dielectric Breakdown Voltage for the PO and MPO are recorded according to IEC 60156 standards. These observations serve as the input for the LSTM-based deep learning model created in MATLAB. When compared to the other prediction model, the LSTM model predicts outcomes quite well. The RMSE and loss of the LSTM model show less divergence from the forecast of MPO’s Dielectric Breakdown Voltage than do those of other prediction techniques. MPO limitations demonstrate its longer lifespan. As a result, MPO continues to have better dielectric characteristics.","PeriodicalId":182428,"journal":{"name":"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)","volume":"183 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126016356","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 : 2023-02-10DOI: 10.1109/PIECON56912.2023.10085832
A. Yıldız, M. Polat
Energy efficiency is becoming an important issue with the increasing energy demand in the world. Electric motors play a major role in energy consumption. In this sense, it is important to increase the efficiency of electric motors. In this direction, synchronous reluctance motors with high efficiency are offered as an alternative to induction motors. Synchronous reluctance motors are the subject of research for motor designer’s day by day. In this study, the design steps of the synchronous reluctance motor are summarized to enable motor designers. 1.1 kW4-pole synchronous reluctance motor is designed in ANSYS-RMxprt software. The designed model was analyzed in Finite Element Method based ANSYS Maxwell 2D software and the results were examined.
{"title":"Analysis of Synchronous Reluctance Motor using ANSYS Maxwell","authors":"A. Yıldız, M. Polat","doi":"10.1109/PIECON56912.2023.10085832","DOIUrl":"https://doi.org/10.1109/PIECON56912.2023.10085832","url":null,"abstract":"Energy efficiency is becoming an important issue with the increasing energy demand in the world. Electric motors play a major role in energy consumption. In this sense, it is important to increase the efficiency of electric motors. In this direction, synchronous reluctance motors with high efficiency are offered as an alternative to induction motors. Synchronous reluctance motors are the subject of research for motor designer’s day by day. In this study, the design steps of the synchronous reluctance motor are summarized to enable motor designers. 1.1 kW4-pole synchronous reluctance motor is designed in ANSYS-RMxprt software. The designed model was analyzed in Finite Element Method based ANSYS Maxwell 2D software and the results were examined.","PeriodicalId":182428,"journal":{"name":"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130728278","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 : 2023-02-10DOI: 10.1109/PIECON56912.2023.10085904
Neeraj Singh, P. Paliwal
Energy demand of residential consumers has been increasing continuously. This increasing demand can be met with the integration of renewable energy sources in the community and implementation of effective demand response programs. In this paper, an attempt has been made to address the energy management in a smart community microgrid by applying a deterministic approach. The smart community comprises of components such as renewable energy resources (RESs) based generators, battery storage along with the battery management system. In this paper, the trade and storage action of the community, their purchasing and selling cost, state of charge of battery, and community profit is analysed by varying the capacity of solar generation in the community till 90% of base level. The analysis suggested that the overall community cost decreases by approximately2.5% with every 15% increases in solar capacity.
{"title":"Deterministic approach-based energy management of smart microgrids","authors":"Neeraj Singh, P. Paliwal","doi":"10.1109/PIECON56912.2023.10085904","DOIUrl":"https://doi.org/10.1109/PIECON56912.2023.10085904","url":null,"abstract":"Energy demand of residential consumers has been increasing continuously. This increasing demand can be met with the integration of renewable energy sources in the community and implementation of effective demand response programs. In this paper, an attempt has been made to address the energy management in a smart community microgrid by applying a deterministic approach. The smart community comprises of components such as renewable energy resources (RESs) based generators, battery storage along with the battery management system. In this paper, the trade and storage action of the community, their purchasing and selling cost, state of charge of battery, and community profit is analysed by varying the capacity of solar generation in the community till 90% of base level. The analysis suggested that the overall community cost decreases by approximately2.5% with every 15% increases in solar capacity.","PeriodicalId":182428,"journal":{"name":"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130940541","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 : 2023-02-10DOI: 10.1109/PIECON56912.2023.10085807
Ompal, V. M. Mishra, Adesh Kumar
The latest developments in processor technologies and low-power radio communication technologies have produced low-power low-cost, multi-functional small sensor devices that can track alterations in the physical spectacles of their surroundings and respond accordingly. These sensing capabilities of such devices can be combined to produce an overall result when connected via wireless media. ZigBee (IEEE 802.15.4) is wireless communication technology that works in star, mesh, and cluster tree topology in a configured sensor network. It can function for many different monitoring and control applications for many years on low-cost batteries. The research article offers ZigBee mesh-configured node connectivity and low-power hardware chip design in Xilinx ISE 14.7. The software Modelsim 10.0 b is used to carry out the simulation and data transfer. The functional test cases have verified the 40-bit data communication for 16 nodes with a maximum frequency of 375.00 MHz. The design’s novelty is in its scalability, which allows it to be tailored to a greater number of routers depending on the situation.
处理器技术和低功耗无线电通信技术的最新发展已经产生了低功耗、低成本、多功能的小型传感器设备，这些设备可以跟踪周围物理环境的变化并做出相应的反应。当通过无线媒体连接时，这些设备的这些传感能力可以组合以产生总体结果。ZigBee (IEEE 802.15.4)是一种在已配置的传感器网络中以星形、网状和簇树拓扑工作的无线通信技术。它可以在低成本电池上运行多年，用于许多不同的监测和控制应用。该研究文章在Xilinx ISE 14.7中提供了ZigBee网格配置节点连接和低功耗硬件芯片设计。采用Modelsim 10.0 b软件进行仿真和数据传输。功能测试用例验证了16个节点的40位数据通信，最大频率为375.00 MHz。该设计的新颖之处在于它的可扩展性，这使得它可以根据情况定制更多数量的路由器。
{"title":"ZigBee Communication in WSN with Mesh Configured Routers and Hardware Chip","authors":"Ompal, V. M. Mishra, Adesh Kumar","doi":"10.1109/PIECON56912.2023.10085807","DOIUrl":"https://doi.org/10.1109/PIECON56912.2023.10085807","url":null,"abstract":"The latest developments in processor technologies and low-power radio communication technologies have produced low-power low-cost, multi-functional small sensor devices that can track alterations in the physical spectacles of their surroundings and respond accordingly. These sensing capabilities of such devices can be combined to produce an overall result when connected via wireless media. ZigBee (IEEE 802.15.4) is wireless communication technology that works in star, mesh, and cluster tree topology in a configured sensor network. It can function for many different monitoring and control applications for many years on low-cost batteries. The research article offers ZigBee mesh-configured node connectivity and low-power hardware chip design in Xilinx ISE 14.7. The software Modelsim 10.0 b is used to carry out the simulation and data transfer. The functional test cases have verified the 40-bit data communication for 16 nodes with a maximum frequency of 375.00 MHz. The design’s novelty is in its scalability, which allows it to be tailored to a greater number of routers depending on the situation.","PeriodicalId":182428,"journal":{"name":"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130421695","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}
To identify and distinguish an individual from another, Face characteristics detection and evaluation is proven to be one of the significant techniques among various other biometric methods. The proposed work explores the use of face identification and detection techniques for automated elevated car parking systems. In recent years, Face recognition has been widely used in numerous applications which include criminal identification, unlocking smart gadgets, advanced security systems and many others. The proposed system consists of MATLAB based GUI, microcontroller or complete embedded system for Hardware deployment and a camera module. The camera device is used to detect the face and number plate of the car owner. Viola-jones algorithm in MATLAB is used for object identification and recognition. The comprehensive embedded system panel is responsible for monitoring and controlling the complete car parking system. The proposed system is tested with a variety of scenarios and number of simulations runs and the results shows that the proposed system is capable of accurately detecting the face of the car owner and synchronizing the car owner identity with the corresponding number plate of the car.
{"title":"Identification and Recognition of face and number Plate for Autonomous and Secure Car Parking","authors":"Aryan Kakran, Anchal, Chirag, Himanshu Chaudhary, Praveen Kumar, Abhishek Sharma, Harpriet Singh","doi":"10.1109/PIECON56912.2023.10085910","DOIUrl":"https://doi.org/10.1109/PIECON56912.2023.10085910","url":null,"abstract":"To identify and distinguish an individual from another, Face characteristics detection and evaluation is proven to be one of the significant techniques among various other biometric methods. The proposed work explores the use of face identification and detection techniques for automated elevated car parking systems. In recent years, Face recognition has been widely used in numerous applications which include criminal identification, unlocking smart gadgets, advanced security systems and many others. The proposed system consists of MATLAB based GUI, microcontroller or complete embedded system for Hardware deployment and a camera module. The camera device is used to detect the face and number plate of the car owner. Viola-jones algorithm in MATLAB is used for object identification and recognition. The comprehensive embedded system panel is responsible for monitoring and controlling the complete car parking system. The proposed system is tested with a variety of scenarios and number of simulations runs and the results shows that the proposed system is capable of accurately detecting the face of the car owner and synchronizing the car owner identity with the corresponding number plate of the car.","PeriodicalId":182428,"journal":{"name":"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129232614","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 : 2023-02-10DOI: 10.1109/PIECON56912.2023.10085793
R. Singh, Vimlesh Verma
The adaptive ANN (artificial neural network)-tuned PID (proportional-integral-derivative) controller is proposed here for LFC (load frequency control) investigation in a two-area interconnected system. This will make frequency regulation much simpler. This controller was developed specifically to aid in the process of frequency regulation. The interconnected two-area thermal-gas turbine power system (area 1), as well as the thermal-hydro power system (area 2), are taken into consideration as part of the LFC analysis process. To determine the final values for the PID controller parameters, two distinct strategies were utilized. In the first scenario, a relatively new optimization method known as the “opposition-learning-based volleyball premier league (OVPL) algorithm” is used to fine-tune the PID controller parameters. This method was developed by the opposition learning-based volleyball premier league (OVPL). In the second possible scenario, an artificial neural network is used to make adjustments to the parameters of the PID controller. The dynamic behavior of the two categories of the system is analyzed by using an OVPL-tuned PID controller as well as an ANN-tuned PID controller. It is discovered that the ANN-tuned PID controller demonstrates superior performance in comparison to the OVPL-tuned PID controller. After examining the similarities and differences between the two controllers, we came to this conclusion. The system also uses step-change in load demand (SLD) as a way to test how stable the suggested ANN-tuned PID controller is.
{"title":"ANN-Tuned PID Controller for LFC Investigation in Two-Area Interconnected System","authors":"R. Singh, Vimlesh Verma","doi":"10.1109/PIECON56912.2023.10085793","DOIUrl":"https://doi.org/10.1109/PIECON56912.2023.10085793","url":null,"abstract":"The adaptive ANN (artificial neural network)-tuned PID (proportional-integral-derivative) controller is proposed here for LFC (load frequency control) investigation in a two-area interconnected system. This will make frequency regulation much simpler. This controller was developed specifically to aid in the process of frequency regulation. The interconnected two-area thermal-gas turbine power system (area 1), as well as the thermal-hydro power system (area 2), are taken into consideration as part of the LFC analysis process. To determine the final values for the PID controller parameters, two distinct strategies were utilized. In the first scenario, a relatively new optimization method known as the “opposition-learning-based volleyball premier league (OVPL) algorithm” is used to fine-tune the PID controller parameters. This method was developed by the opposition learning-based volleyball premier league (OVPL). In the second possible scenario, an artificial neural network is used to make adjustments to the parameters of the PID controller. The dynamic behavior of the two categories of the system is analyzed by using an OVPL-tuned PID controller as well as an ANN-tuned PID controller. It is discovered that the ANN-tuned PID controller demonstrates superior performance in comparison to the OVPL-tuned PID controller. After examining the similarities and differences between the two controllers, we came to this conclusion. The system also uses step-change in load demand (SLD) as a way to test how stable the suggested ANN-tuned PID controller is.","PeriodicalId":182428,"journal":{"name":"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125553222","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：