Pub Date : 2015-09-24DOI: 10.1109/ICPACE.2015.7274926
Suryatapa Roy, Biswajeet Bedanta, S. Dawnee
Advanced Metering Infrastructure (AMI) is an active area of research for real-time load monitoring, dynamic pricing of power and for regulation of peak loading to minimize the stress on the electric grid caused by irregular loading patterns. Thus, AMI promises to fulfill key requirements essential for the realization of smart grids. This paper proposes a metering unit for monitoring and controlling load on the distribution side for peak load management in real time and addresses a few of the design considerations necessary for such a metering infrastructure. Further, data collected from the proposed automated metering system are processed to generate patterns of loading such that dynamic pricing schemes can be applied. In this work an embedded controller is used for the hardware realization of the metering unit and ZigBee wireless communication protocol is used for building the network that connects these distributed meters to the control tower that acts as the base station of the network. It is the aim of this work that such a metering unit will provide a practical design that is easy to implement and the proposed data processing technique can be instrumental in the formulation of versatile dynamic pricing policies.
{"title":"Advanced Metering Infrastructure for real time load management in a smart grid","authors":"Suryatapa Roy, Biswajeet Bedanta, S. Dawnee","doi":"10.1109/ICPACE.2015.7274926","DOIUrl":"https://doi.org/10.1109/ICPACE.2015.7274926","url":null,"abstract":"Advanced Metering Infrastructure (AMI) is an active area of research for real-time load monitoring, dynamic pricing of power and for regulation of peak loading to minimize the stress on the electric grid caused by irregular loading patterns. Thus, AMI promises to fulfill key requirements essential for the realization of smart grids. This paper proposes a metering unit for monitoring and controlling load on the distribution side for peak load management in real time and addresses a few of the design considerations necessary for such a metering infrastructure. Further, data collected from the proposed automated metering system are processed to generate patterns of loading such that dynamic pricing schemes can be applied. In this work an embedded controller is used for the hardware realization of the metering unit and ZigBee wireless communication protocol is used for building the network that connects these distributed meters to the control tower that acts as the base station of the network. It is the aim of this work that such a metering unit will provide a practical design that is easy to implement and the proposed data processing technique can be instrumental in the formulation of versatile dynamic pricing policies.","PeriodicalId":6644,"journal":{"name":"2015 International Conference on Power and Advanced Control Engineering (ICPACE)","volume":"15 1","pages":"104-108"},"PeriodicalIF":0.0,"publicationDate":"2015-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80516313","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 : 2015-09-24DOI: 10.1109/ICPACE.2015.7274967
R. Sugathan, S. Ananda, Vinitha Ramdas, P. Satyanarayana, M. Sankaran, R. S. Ekkundi
This paper describes an approach adopted for a worst case circuit analysis done on an autonomous, passive, fail proof balancing electronic circuit used for cell balancing of Lithium ion batteries for GEO (geosynchronous orbit) satellites. Under the worst case scenarios, of operating environmental conditions and device parameter drift, how the performance of the circuit varies is studied. It is carried out as a part of design as to demonstrate that the circuit performs within specification. This analysis considers variation in constituent device parameters and the imposed environment, during entire lifetime. The analysis provides sufficient operating margins for all operating conditions in the circuit.
{"title":"Worst case circuit analysis of a new balancing circuit for spacecraft application","authors":"R. Sugathan, S. Ananda, Vinitha Ramdas, P. Satyanarayana, M. Sankaran, R. S. Ekkundi","doi":"10.1109/ICPACE.2015.7274967","DOIUrl":"https://doi.org/10.1109/ICPACE.2015.7274967","url":null,"abstract":"This paper describes an approach adopted for a worst case circuit analysis done on an autonomous, passive, fail proof balancing electronic circuit used for cell balancing of Lithium ion batteries for GEO (geosynchronous orbit) satellites. Under the worst case scenarios, of operating environmental conditions and device parameter drift, how the performance of the circuit varies is studied. It is carried out as a part of design as to demonstrate that the circuit performs within specification. This analysis considers variation in constituent device parameters and the imposed environment, during entire lifetime. The analysis provides sufficient operating margins for all operating conditions in the circuit.","PeriodicalId":6644,"journal":{"name":"2015 International Conference on Power and Advanced Control Engineering (ICPACE)","volume":"50 1","pages":"327-332"},"PeriodicalIF":0.0,"publicationDate":"2015-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75945577","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 : 2015-09-24DOI: 10.1109/ICPACE.2015.7274961
Rishika Sinha, S. Khot, M. S. Ansari
This paper presents a 22 nm CMOS technology analog front-end (AFE) for biomedical applications. The circuit is designed for low power and small size implementations, especially for battery-powered implantable devices, and is capable of reading out biomedical signals in the range of 0.01 Hz to 300 Hz in frequency, while rejecting power-line frequency of 50/60Hz. It employs Operational Transconductance Amplifiers (OTAs) in an OTA-C structure to realize a notch filter. The OTA designed has a very low transconductance, which is programmable from 1.069 nA/V to 2.114 nA/V. The notch at power-line frequency (50/60 Hz) achieves an attenuation of 20 dB. The power consumption of the entire AFE was found to be 11.34 nW at ±0.95V supply.
{"title":"A 22nm ±0.95V CMOS OTA-C front-end with 50/60 Hz notch for biomedical signal acquisition","authors":"Rishika Sinha, S. Khot, M. S. Ansari","doi":"10.1109/ICPACE.2015.7274961","DOIUrl":"https://doi.org/10.1109/ICPACE.2015.7274961","url":null,"abstract":"This paper presents a 22 nm CMOS technology analog front-end (AFE) for biomedical applications. The circuit is designed for low power and small size implementations, especially for battery-powered implantable devices, and is capable of reading out biomedical signals in the range of 0.01 Hz to 300 Hz in frequency, while rejecting power-line frequency of 50/60Hz. It employs Operational Transconductance Amplifiers (OTAs) in an OTA-C structure to realize a notch filter. The OTA designed has a very low transconductance, which is programmable from 1.069 nA/V to 2.114 nA/V. The notch at power-line frequency (50/60 Hz) achieves an attenuation of 20 dB. The power consumption of the entire AFE was found to be 11.34 nW at ±0.95V supply.","PeriodicalId":6644,"journal":{"name":"2015 International Conference on Power and Advanced Control Engineering (ICPACE)","volume":"1 1","pages":"295-299"},"PeriodicalIF":0.0,"publicationDate":"2015-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82401124","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 : 2015-09-24DOI: 10.1109/ICPACE.2015.7274936
G. Darji, M. Patel, V. Rajput, K. Pandya
The precise coordination of Directional Overcurrent Relays (DOCRs) is required to identify fault timely, effectively and isolate them from the network to avoid possible outages in a power system. The DOCRs coordination is an optimization problem including highly nonlinear constraints. In this paper, Cuckoo Search Algorithm (CSA) is implemented to solve coordination problem of DOCRs on two different case studies. The parameters of CSA are effectively tuned to obtain global best solution for the DOCRs coordination problem. The obtained results using the proposed method are compared with Genetic Algorithm (GA) and hybrid GA-Nonlinear programming (GA-NLP) methods. The result shows that the effective modification of CSA parameters can obtain feasible and superior solution for this complex problem.
{"title":"A tuned cuckoo search algorithm for optimal coordination of Directional Overcurrent Relays","authors":"G. Darji, M. Patel, V. Rajput, K. Pandya","doi":"10.1109/ICPACE.2015.7274936","DOIUrl":"https://doi.org/10.1109/ICPACE.2015.7274936","url":null,"abstract":"The precise coordination of Directional Overcurrent Relays (DOCRs) is required to identify fault timely, effectively and isolate them from the network to avoid possible outages in a power system. The DOCRs coordination is an optimization problem including highly nonlinear constraints. In this paper, Cuckoo Search Algorithm (CSA) is implemented to solve coordination problem of DOCRs on two different case studies. The parameters of CSA are effectively tuned to obtain global best solution for the DOCRs coordination problem. The obtained results using the proposed method are compared with Genetic Algorithm (GA) and hybrid GA-Nonlinear programming (GA-NLP) methods. The result shows that the effective modification of CSA parameters can obtain feasible and superior solution for this complex problem.","PeriodicalId":6644,"journal":{"name":"2015 International Conference on Power and Advanced Control Engineering (ICPACE)","volume":"17 1","pages":"162-167"},"PeriodicalIF":0.0,"publicationDate":"2015-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84225071","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 : 2015-09-24DOI: 10.1109/ICPACE.2015.7274958
Ayadoure Srinivasane Alias Stalin, Mohammed Shakeel, R. Revanth, D. Durairaj
Reliability of the system, efficiency of the system, fault correction and operational performance of the network are the key characteristics of a power system. The issues of deregulation trend in the industry and the requirement of better network monitoring, leads to the development of the solutions for wide area monitoring, protection and control, than the currently used methods which are mostly good for local area monitoring, protection and control In our paper, a wide area power system network is designed and Phasor Measuring Unit (PMU) is used as monitoring system and the protection of the network is done by using Slip back neural control system and the proposed model is then tested under various operational parameters. Our proposed model and control technique implemented offers a smart tool for wide area system which has good optimization in its performance.
{"title":"Designing of anfis network for wide area power system monitoring and protection network using matlab simulink tools","authors":"Ayadoure Srinivasane Alias Stalin, Mohammed Shakeel, R. Revanth, D. Durairaj","doi":"10.1109/ICPACE.2015.7274958","DOIUrl":"https://doi.org/10.1109/ICPACE.2015.7274958","url":null,"abstract":"Reliability of the system, efficiency of the system, fault correction and operational performance of the network are the key characteristics of a power system. The issues of deregulation trend in the industry and the requirement of better network monitoring, leads to the development of the solutions for wide area monitoring, protection and control, than the currently used methods which are mostly good for local area monitoring, protection and control In our paper, a wide area power system network is designed and Phasor Measuring Unit (PMU) is used as monitoring system and the protection of the network is done by using Slip back neural control system and the proposed model is then tested under various operational parameters. Our proposed model and control technique implemented offers a smart tool for wide area system which has good optimization in its performance.","PeriodicalId":6644,"journal":{"name":"2015 International Conference on Power and Advanced Control Engineering (ICPACE)","volume":"56 1","pages":"280-284"},"PeriodicalIF":0.0,"publicationDate":"2015-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85803880","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 : 2015-09-24DOI: 10.1109/ICPACE.2015.7274960
B. S. Sourab, Chakravarthy H. S. Ranganatha, Sachith D'Souza
With the scope of electronics increasing day by day, the need for utilizing these advanced technologies to make human lives simpler is becoming more and more necessary. The demand for using these technologies to make lives easier for disabled people is also increasing. This has prompted many new areas of research and one of the areas is electronic mobility aid for blind people. According to the World Health Organization, approximately 285 million people of all ages are blind, which is significantly a large number [1]. Traditional mobility aids include the white stick and the guide dogs which take a lot of time getting used to. There are a few smart systems available in the market which uses electronic sensors mounted on the cane but those systems also have certain disadvantages. This paper analyses the available solutions and proposes an entire new approach to solve the above problem. The new approach not only eliminates the disadvantages of the existing solutions, but it also is reliable, cost effective and most importantly easier to use.
{"title":"Design and implementation of mobility aid for blind people","authors":"B. S. Sourab, Chakravarthy H. S. Ranganatha, Sachith D'Souza","doi":"10.1109/ICPACE.2015.7274960","DOIUrl":"https://doi.org/10.1109/ICPACE.2015.7274960","url":null,"abstract":"With the scope of electronics increasing day by day, the need for utilizing these advanced technologies to make human lives simpler is becoming more and more necessary. The demand for using these technologies to make lives easier for disabled people is also increasing. This has prompted many new areas of research and one of the areas is electronic mobility aid for blind people. According to the World Health Organization, approximately 285 million people of all ages are blind, which is significantly a large number [1]. Traditional mobility aids include the white stick and the guide dogs which take a lot of time getting used to. There are a few smart systems available in the market which uses electronic sensors mounted on the cane but those systems also have certain disadvantages. This paper analyses the available solutions and proposes an entire new approach to solve the above problem. The new approach not only eliminates the disadvantages of the existing solutions, but it also is reliable, cost effective and most importantly easier to use.","PeriodicalId":6644,"journal":{"name":"2015 International Conference on Power and Advanced Control Engineering (ICPACE)","volume":"11 1","pages":"290-294"},"PeriodicalIF":0.0,"publicationDate":"2015-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88185048","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 : 2015-09-24DOI: 10.1109/ICPACE.2015.7274930
R. Rajesh, C. Ananda
In this paper, camera gimbal control is designed which controls the on board camera position used in UAV for various applications such as target tracking, Surveillance, Aerial photography, autonomous navigation and so on. Traditional tracking systems are heavy and large to mount on small airframes. Gimbal with camera replaces traditional tracking systems and used to capture aerial photography without video noise and vibrations. So, the gimbal trajectory planning and its motion control are necessary. The controlling of camera gimbal is designed using different controlling techniques which respond quickly without excitation of damping flexibility. In order to develop the control, kinematics is derived using different robotics techniques. In this paper PID controller is designed to control camera position using gimbal mechanism. PID control is the popular controller used in industries for its effectiveness, simplicity of design and its feasibility. PID consists of three tuning parameters which can be tuned using different techniques. Manual tuning is not preferred since it is time consuming, tedious and leads to poor performance. Here, traditional tuning methods and evolutionary algorithms/bio-inspired algorithms are used to tune PID parameters. PSO is the evolutionary algorithm used because of its stable convergence, dynamic and static performance, good computational efficiency due to which system performance with minimum errors can be achieved. In this paper, performance of system with conventional PID and PSO tuned PID are compared and optimum solution is implemented.
{"title":"PSO tuned PID controller for controlling camera position in UAV using 2-axis gimbal","authors":"R. Rajesh, C. Ananda","doi":"10.1109/ICPACE.2015.7274930","DOIUrl":"https://doi.org/10.1109/ICPACE.2015.7274930","url":null,"abstract":"In this paper, camera gimbal control is designed which controls the on board camera position used in UAV for various applications such as target tracking, Surveillance, Aerial photography, autonomous navigation and so on. Traditional tracking systems are heavy and large to mount on small airframes. Gimbal with camera replaces traditional tracking systems and used to capture aerial photography without video noise and vibrations. So, the gimbal trajectory planning and its motion control are necessary. The controlling of camera gimbal is designed using different controlling techniques which respond quickly without excitation of damping flexibility. In order to develop the control, kinematics is derived using different robotics techniques. In this paper PID controller is designed to control camera position using gimbal mechanism. PID control is the popular controller used in industries for its effectiveness, simplicity of design and its feasibility. PID consists of three tuning parameters which can be tuned using different techniques. Manual tuning is not preferred since it is time consuming, tedious and leads to poor performance. Here, traditional tuning methods and evolutionary algorithms/bio-inspired algorithms are used to tune PID parameters. PSO is the evolutionary algorithm used because of its stable convergence, dynamic and static performance, good computational efficiency due to which system performance with minimum errors can be achieved. In this paper, performance of system with conventional PID and PSO tuned PID are compared and optimum solution is implemented.","PeriodicalId":6644,"journal":{"name":"2015 International Conference on Power and Advanced Control Engineering (ICPACE)","volume":"30 1","pages":"128-133"},"PeriodicalIF":0.0,"publicationDate":"2015-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75517874","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 : 2015-09-24DOI: 10.1109/ICPACE.2015.7274924
V. Prema, S. Dutta, K. Rao, Shriya Shekhar, B. Kariyappa
In developing countries there are a large number of isolated areas not connected to the main grid. The energy demands of these remote, isolated communities are met by diesel operated power systems. These systems are often highly polluting and with time, an effort is made to make a transition to systems wherein single or multiple renewable energy sources are used to augment the diesel generators and thereby reduce the environmental footprint. Majority of such off-grid hybrid systems include a massive battery bank to store excess energy to supply the user when the renewable is inefficient. Inclusion of such large batteries results in additional investment costs and recycling issues. Therefore it is necessary to minimise the battery size as far as possible, and operate the system under a strategy to ensure maximum utilisation of renewable supplies and minimal DG usage. In this paper the power management strategy for a PV-battery and VSDG system was developed. A battery was modelled in MATLAB and four different battery operation algorithms were simulated for a set of data comprising of load and solar power output for every ten minute period for a day and the effective usage of DG was compared and analysed.
{"title":"Effective battery usage strategies for hybrid power management","authors":"V. Prema, S. Dutta, K. Rao, Shriya Shekhar, B. Kariyappa","doi":"10.1109/ICPACE.2015.7274924","DOIUrl":"https://doi.org/10.1109/ICPACE.2015.7274924","url":null,"abstract":"In developing countries there are a large number of isolated areas not connected to the main grid. The energy demands of these remote, isolated communities are met by diesel operated power systems. These systems are often highly polluting and with time, an effort is made to make a transition to systems wherein single or multiple renewable energy sources are used to augment the diesel generators and thereby reduce the environmental footprint. Majority of such off-grid hybrid systems include a massive battery bank to store excess energy to supply the user when the renewable is inefficient. Inclusion of such large batteries results in additional investment costs and recycling issues. Therefore it is necessary to minimise the battery size as far as possible, and operate the system under a strategy to ensure maximum utilisation of renewable supplies and minimal DG usage. In this paper the power management strategy for a PV-battery and VSDG system was developed. A battery was modelled in MATLAB and four different battery operation algorithms were simulated for a set of data comprising of load and solar power output for every ten minute period for a day and the effective usage of DG was compared and analysed.","PeriodicalId":6644,"journal":{"name":"2015 International Conference on Power and Advanced Control Engineering (ICPACE)","volume":"11 1","pages":"95-98"},"PeriodicalIF":0.0,"publicationDate":"2015-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78680509","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 : 2015-09-24DOI: 10.1109/ICPACE.2015.7274919
G. S. Grewal, B. Rajpurohit
There has been a tremendous pressure to assess the in situ efficiency of Induction Machine (IM) with bounded level of intrusion and restricted measurements so as to enhance IMs enforcement. Very few researchers have carried out work to make IM efficiency evaluation methods compatible to unbalanced supply and varying load conditions. This paper recommends a novel approach using cuckoo algorithm to obtain efficiency assessment of an IM operating as a motor working with unbalanced supply having different phase voltages and different currents respectively. The cuckoo algorithm improves the searching ability and has competence to accommodate to complex optimization obstacles. Here, cuckoo algorithm optimizes the IM positive sequence parameters at various loading levels. The parameters optimization is done with the use of positive sequence input currents and electrical powers which have been obtained earlier at various load points of operation. Using the optimized parameters, the evaluation of negative sequence parameters can be made. So, the efficiency of IM can be estimated at different loading levels. Comparison of efficiencies at varying load points with unbalanced power supplies is carried out. The proposed approach is materialized on the MATLAB/SIMULINK platform. The effectiveness, validation and accuracy of the proposed strategy are established by comparing the results obtained with genetic algorithm.
{"title":"Comparison of efficiencies of in situ induction motor in unbalanced field conditions","authors":"G. S. Grewal, B. Rajpurohit","doi":"10.1109/ICPACE.2015.7274919","DOIUrl":"https://doi.org/10.1109/ICPACE.2015.7274919","url":null,"abstract":"There has been a tremendous pressure to assess the in situ efficiency of Induction Machine (IM) with bounded level of intrusion and restricted measurements so as to enhance IMs enforcement. Very few researchers have carried out work to make IM efficiency evaluation methods compatible to unbalanced supply and varying load conditions. This paper recommends a novel approach using cuckoo algorithm to obtain efficiency assessment of an IM operating as a motor working with unbalanced supply having different phase voltages and different currents respectively. The cuckoo algorithm improves the searching ability and has competence to accommodate to complex optimization obstacles. Here, cuckoo algorithm optimizes the IM positive sequence parameters at various loading levels. The parameters optimization is done with the use of positive sequence input currents and electrical powers which have been obtained earlier at various load points of operation. Using the optimized parameters, the evaluation of negative sequence parameters can be made. So, the efficiency of IM can be estimated at different loading levels. Comparison of efficiencies at varying load points with unbalanced power supplies is carried out. The proposed approach is materialized on the MATLAB/SIMULINK platform. The effectiveness, validation and accuracy of the proposed strategy are established by comparing the results obtained with genetic algorithm.","PeriodicalId":6644,"journal":{"name":"2015 International Conference on Power and Advanced Control Engineering (ICPACE)","volume":"519 1","pages":"70-74"},"PeriodicalIF":0.0,"publicationDate":"2015-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77180625","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 : 2015-09-24DOI: 10.1109/ICPACE.2015.7274938
Tapas Chakrabarti, Udit Sharma, Suvrajit Manna, Tyajodeep Chakrabarti, S. Sarkar
Main objective of this paper is to develop an intelligent and efficient Maximum Power Point Tracking (MPPT) technique. Two most recently introduced and popular swarm intelligent based algorithms: Firefly algorithm (FA) and Artificial Bee Colony (ABC) has been used in this study to develop a novel technique to track the Maximum Power Point (MPP) of a solar cell module. The performances of two algorithms in this context have been compared with other popular evolutionary computing techniques like PSO, DE and GA. Simulations were done in MATLAB/SIMULINK environment and simulation results show that proposed approach can obtain MPP to a good precision under different solar irradiance and environmental temperatures.
{"title":"Design of intelligent Maximum Power Point Tracking (MPPT) technique based on swarm intelligence based algorithms","authors":"Tapas Chakrabarti, Udit Sharma, Suvrajit Manna, Tyajodeep Chakrabarti, S. Sarkar","doi":"10.1109/ICPACE.2015.7274938","DOIUrl":"https://doi.org/10.1109/ICPACE.2015.7274938","url":null,"abstract":"Main objective of this paper is to develop an intelligent and efficient Maximum Power Point Tracking (MPPT) technique. Two most recently introduced and popular swarm intelligent based algorithms: Firefly algorithm (FA) and Artificial Bee Colony (ABC) has been used in this study to develop a novel technique to track the Maximum Power Point (MPP) of a solar cell module. The performances of two algorithms in this context have been compared with other popular evolutionary computing techniques like PSO, DE and GA. Simulations were done in MATLAB/SIMULINK environment and simulation results show that proposed approach can obtain MPP to a good precision under different solar irradiance and environmental temperatures.","PeriodicalId":6644,"journal":{"name":"2015 International Conference on Power and Advanced Control Engineering (ICPACE)","volume":"102 1","pages":"173-177"},"PeriodicalIF":0.0,"publicationDate":"2015-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85921804","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}
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