{"title":"Experimental results on low cost microcontroller based DC drive implementation","authors":"A. Datta, D. Ganguly, T. Patra, S. Akhuli","doi":"10.1109/ICEES.2014.6924164","DOIUrl":"https://doi.org/10.1109/ICEES.2014.6924164","url":null,"abstract":"This paper presents the experimental results for an attractive control scheme implementation using an 8 bit microcontroller. The power converter involved is a 3 phase full controlled bridge rectifier. A single quadrant DC drive has been realized and results have been presented for both open and closed loop implementations.","PeriodicalId":315326,"journal":{"name":"2014 IEEE 2nd International Conference on Electrical Energy Systems (ICEES)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133676412","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}
{"title":"Performance investigation of FPGA controlled central three-level diode clamped inverter in two-stage solar photo voltaic (SPV) system","authors":"D. Raveendhra, Rahul Kumar, S. Singh","doi":"10.1109/ICEES.2014.6924169","DOIUrl":"https://doi.org/10.1109/ICEES.2014.6924169","url":null,"abstract":"This paper includes the discussion about the principle of working, performance investigation and simulation of FPGA controlled three-level diode clamped inverter, which is fed by solar PV based DC bus. DC bus was created with the help of solar PV modules and charge controller to feed DC loads directly or AC loads indirectly through proposed three-level inverter. FPGA based three-level inverter was simulated on Xilinx system generator interfaced MATLAB Simulink environments. For, FPGA's have been designed at high clock frequencies; firing pulses can be generated by system generator tool at high switching frequency to control the three-level inverter in the Simulink environment. FPGA controller is economical for controlling any equipment consisting of many controllable switches. 1kwp solar PV DC supply is given to inverter as a supply to investigate the performance of a proposed inverter with a RL load of 0.8 lagging power factor. Performance parameters have been calculated with the help of Simulink powerful graphical user interface tool for performance investigation of proposed inverter. Based on performance parameters it can be judged that FPGA based three-level inverter is offering better performance compared to normal conventional inverters.","PeriodicalId":315326,"journal":{"name":"2014 IEEE 2nd International Conference on Electrical Energy Systems (ICEES)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131724762","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}
{"title":"Design, modeling and simulation study of a cascaded optimal neural network based fuel cell Powered Electric Vehicle","authors":"M. Karthik, K. Gomathi","doi":"10.1109/ICEES.2014.6924144","DOIUrl":"https://doi.org/10.1109/ICEES.2014.6924144","url":null,"abstract":"In this paper, the performance analysis of the ANN (Artificial Neural Network) based fuel cell powered electric vehicle is investigated for the two popular drive cycles such as M-UDDS and M-NEDC. The complex mathematical model of the fuel cell system is substituted with the black box neural network model that provides an appropriate mapping between the input and output parameters. The performance comparison of the two different cascaded connected neural networks is carried out to examine the prediction ability of the proposed network models in terms of error minimization value and convergence rate. The optimum network acquired from the comparative analysis can be used as an ancillary model instead of using a complex fuel cell model for developing any kind of fuel cell powered application. An attempt is made in this paper to use the neural network based fuel cell approach in the transportation sector for developing an electric vehicle model. This paper is also focused on the design, modeling and simulation of the optimal ANN based fuel cell operated electric vehicle and the performance of the proposed electric vehicle model is analyzed based on the two different drive cycle (M-UDDS & M-NEDC) on which they are operated. The simulation results obtained from the proposed electric vehicle model are used to evaluate the vehicle performance in terms of maximum distance coverage, amount of fuel consumption and comparison of the required vehicle power with the available power delivered by the energy source for the use of modified UDDS & NEDC drive cycle pattern. The power comparison results thus obtained enables to validate the optimality of the neural network model proposed in this paper.","PeriodicalId":315326,"journal":{"name":"2014 IEEE 2nd International Conference on Electrical Energy Systems (ICEES)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129801956","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}
{"title":"Comparative study and transient analysis of winding shapes in linear variable differential transformer","authors":"M. Raj, V. Meera, P. Janani","doi":"10.1109/ICEES.2014.6924155","DOIUrl":"https://doi.org/10.1109/ICEES.2014.6924155","url":null,"abstract":"LVDT is one of the most widely used position sensor. The shape of the winding in LVDT affects flux linkage between primary and secondary. This in turn affects the output voltage which is used to predict the position. The shape of the winding cannot be maintained uniform practically. This paper compares the voltage output of uniform and exponential shape winding implemented in the secondary of LVDT. The transient analysis is performed to study the real time impact of alternating current source and the mechanical motion on output voltage with respect to time. Hence transient analysis is done using Finite Element Electromagnetic tool which provides more accurate prediction when compared with static analysis.","PeriodicalId":315326,"journal":{"name":"2014 IEEE 2nd International Conference on Electrical Energy Systems (ICEES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130061094","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}
{"title":"Comparative analysis of neural and P-I controller for","authors":"V. Nagarajan, M. Balaji, V. Kamaraj, B. Seetha","doi":"10.1109/ICEES.2014.6924154","DOIUrl":"https://doi.org/10.1109/ICEES.2014.6924154","url":null,"abstract":"This paper describes Artificial Neural Network (ANN) based speed and current controller design for Permanent Magnet Synchronous Motor (PMSM).The neural network controllers are designed to translate the speed and current errors into respective driving voltage signals to the input of PMSM. A multilayer feed forward neural network is trained using Back propagation learning algorithm to estimate the driving voltage input of PMSM. To analyze the performance of neural controller, the overall system is simulated under various operating conditions. The simulation results compared with conventional P-I controller for different conditions highlight the performance of the proposed controller in steady state and transient conditions.","PeriodicalId":315326,"journal":{"name":"2014 IEEE 2nd International Conference on Electrical Energy Systems (ICEES)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114891877","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}
{"title":"Effect of shading losses on the performance of solar module system using MATLAB simulation","authors":"V. Anand, O. B. Priyan, B. Pesala","doi":"10.1109/ICEES.2014.6924142","DOIUrl":"https://doi.org/10.1109/ICEES.2014.6924142","url":null,"abstract":"Silicon solar panels are widely used in photovoltaic applications. The voltage produced by each cell is limited to 1 V. Hence, solar cells are connected in series/parallel in order to obtain the desired voltage suitable for power conversion. Therefore, even a small amount of shading of solar cells/panels in the network affects the overall performance of the module significantly. To analyze the effect of shading on the overall system efficiency, we have used MATLAB Simulink tool to calculate Power vs Voltage (P-V) and Voltage vs Current (V-I) characteristics of solar panel under different shading conditions. Simulations show that for large panels even 20-30% shading of the solar module will result in 30-40% reduction in the power output. This demonstrates the importance of developing MPPT (Maximum Power Tracking) algorithms tailored to various situations which can work well in dusty environments and cloudy days. Its affect is of a prime interest to various IPP's (Independent Power Producers) especially in a large open solar farm.","PeriodicalId":315326,"journal":{"name":"2014 IEEE 2nd International Conference on Electrical Energy Systems (ICEES)","volume":"2014 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133921198","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}
{"title":"Self-adaptive differential harmony search algorithm to solve dynamic economic dispatch problem with emission and security constraints","authors":"R. Arul, S. Velusami, G. Ravi","doi":"10.1109/ICEES.2014.6924137","DOIUrl":"https://doi.org/10.1109/ICEES.2014.6924137","url":null,"abstract":"In this paper, a new algorithm called Self-Adaptive Differential Harmony Search (SADHS) algorithm is proposed to solve the dynamic economic and emission dispatch (DEED) problem with security constraints. The searching ability of the proposed algorithm is improved by introducing a self-adaptive method to change the value of mutation constant during run of the algorithm. To show the effectiveness of the proposed algorithm, it is tested on IEEE-30 bus test system with valve point effects, ramp rate limits, prohibited operating zones, and security constraints. The result obtained by the proposed SADHS algorithm is compared with differential harmony search (DHS) algorithm. The result obtained by the proposed algorithm is found to be better than DHS algorithm in terms of solution quality, convergence speed and computational time.","PeriodicalId":315326,"journal":{"name":"2014 IEEE 2nd International Conference on Electrical Energy Systems (ICEES)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127465564","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}
{"title":"Interleaved converter based PV connected BLDC motor with MPPT controller","authors":"A. Mohamed, S. Narendiran","doi":"10.1109/ICEES.2014.6924148","DOIUrl":"https://doi.org/10.1109/ICEES.2014.6924148","url":null,"abstract":"This paper presents a brushless dc motor drive, which is utilized as the load of a photovoltaic system with a maximum power point tracking (MPPT) controller. To achieve a fast and stable response for the real power control, the intelligent controller consists of a Perturb and Observe (P&O) for maximum power point tracking (MPPT) where the output signal is used to control the interleaved boost converters to achieve the MPP. A brushless dc (BLDC) motor drive system that incorporates a motor controller with proportional integral (PI) speed control loop. MATLAB/Simulink is used to build the dynamic model and simulate the system.","PeriodicalId":315326,"journal":{"name":"2014 IEEE 2nd International Conference on Electrical Energy Systems (ICEES)","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127967446","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}
{"title":"Solving ORPD problem with modal analysis by differential evolution","authors":"J. Jithendranath, B. Babu","doi":"10.1109/ICEES.2014.6924140","DOIUrl":"https://doi.org/10.1109/ICEES.2014.6924140","url":null,"abstract":"This paper presents a significant evolutionary based algorithm for solving conventional Optimal Reactive Power Dispatch (ORPD) problem in power system. This problem was designed as a Multi-Objective case with loss minimization and voltage stability as objectives and Generator terminal voltages, tap setting of transformers and reactive power generation of capacitor banks were taken as optimization variables. Modal analysis method is adopted to assess the voltage stability of system. The above presented problem was solved on basis of efficient and reliable technique among all evolutionary based algorithms, the Differential Evolution Technique. The proposed method has been tested on IEEE 30 bus system where the obtained results were found satisfactorily to a large extent that of reported earlier.","PeriodicalId":315326,"journal":{"name":"2014 IEEE 2nd International Conference on Electrical Energy Systems (ICEES)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130140583","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}
{"title":"Artificial intelligence technique based Reactive Power Planning incorporating FACTS Controllers in Real Time Power Transmission System","authors":"K. R. Vadivelu, G. Marutheswar","doi":"10.1109/ICEES.2014.6924136","DOIUrl":"https://doi.org/10.1109/ICEES.2014.6924136","url":null,"abstract":"Reactive Power Planning is a major concern in the operation and control of power systems This paper compares the effectiveness of Evolutionary Programming (EP) and Differential Evolution to solve Reactive Power Planning (RPP) problem incorporating FACTS Controllers like Static VAR Compensator (SVC), Thyristor Controlled Series Capacitor (TCSC) and Unified power flow controller (UPFC) considering voltage stability. With help of Fast Voltage Stability Index (FVSI), the critical lines and buses are identified to install the FACTS controllers. The optimal settings of the control variables of the generator voltages, transformer tap settings and allocation and parameter settings of the SVC, TCSC, UPFC are considered for reactive power planning. The test and Validation of the proposed algorithm are conducted on IEEE 30-bus system and 72-bus Indian system. Simulation results shows that the UPFC gives better results than SVC and TCSC and the FACTS controllers reduce the system losses.","PeriodicalId":315326,"journal":{"name":"2014 IEEE 2nd International Conference on Electrical Energy Systems (ICEES)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126626457","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}