Pub Date : 2017-12-01DOI: 10.1109/WIECON-ECE.2017.8468876
A. Niranjan, Anusha Prakash, N. Veena, M. Geetha, P. Deepa Shenoy, K. Venugopal
An effective Intrusion Detection System must be able to classify any ongoing intrusion activity as, ‘abnormal’ with utmost accuracy. The key factor that mainly affects the accuracy of an Intrusion Detection System is the selection of a classification algorithm whose True Positive Rate is the maximum and False Positive Rate is the minimum. An efficient classification algorithm can thus greatly improve the accuracy of the Intrusion Detection System. To ensure the time taken to build the model is the least, Information Gain Feature Selection algorithm is used for ranking the Features. A standard deviation of all the ranks is computed and all the features that are less than the standard deviation value are discarded. This results in the selection of a sub feature set of only 16 out of 41 features available in the data set. When voting of Bagging, J48 and Random Committee techniques for classification is carried out on this reduced feature set, most encouraging accuracy values can be achieved.
{"title":"EBJRV: An Ensemble of Bagging, J48 and Random Committee by Voting for Efficient Classification of Intrusions","authors":"A. Niranjan, Anusha Prakash, N. Veena, M. Geetha, P. Deepa Shenoy, K. Venugopal","doi":"10.1109/WIECON-ECE.2017.8468876","DOIUrl":"https://doi.org/10.1109/WIECON-ECE.2017.8468876","url":null,"abstract":"An effective Intrusion Detection System must be able to classify any ongoing intrusion activity as, ‘abnormal’ with utmost accuracy. The key factor that mainly affects the accuracy of an Intrusion Detection System is the selection of a classification algorithm whose True Positive Rate is the maximum and False Positive Rate is the minimum. An efficient classification algorithm can thus greatly improve the accuracy of the Intrusion Detection System. To ensure the time taken to build the model is the least, Information Gain Feature Selection algorithm is used for ranking the Features. A standard deviation of all the ranks is computed and all the features that are less than the standard deviation value are discarded. This results in the selection of a sub feature set of only 16 out of 41 features available in the data set. When voting of Bagging, J48 and Random Committee techniques for classification is carried out on this reduced feature set, most encouraging accuracy values can be achieved.","PeriodicalId":188031,"journal":{"name":"2017 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126851061","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 : 2017-12-01DOI: 10.1109/WIECON-ECE.2017.8468896
Shivangni Sharma, Vimlesh Verma
This paper shows the performance of Shunt Active Power Filter (SAPF) under failure of various sensors. The SAPF have been developed on the basis of Instantaneous Reactive Power Theory (also known as P-Q theory) to generate reference current for harmonic mitigation. The controller aims at the power quality improvement of a power system with the nonlinear load by using SAPF (Shunt Active Power Filter). In general, P-Q theory based controller requires the information of three load currents and three source voltages. Hence, the controller requires information from six sensors. Therefore, failure of any one sensor will affect the overall performance of the SAPF. Here, performance of SAPF under failure of single and multiple sensors is studied. A comparative study has been performed to demonstrate effect on the performance of SAPF under various sensor failure conditions. The power system with compensation has been analyzed in MATLAB/SIMULINK environment through simulations for the conditions of sensor failures, which serves as functional candidates for the P-Q algorithm. Different combinations (i.e., failure of sensors) have been studied to observe its effect on THD in source current. Further, an algorithm for successful compensation of one voltage and one current sensor failure (simultaneously or individually) have been proposed under balanced conditions and successfully verified on MATLAB/SIMULINK platform.
{"title":"Performance of Shunt Active Power Filter Under Sensor Failure","authors":"Shivangni Sharma, Vimlesh Verma","doi":"10.1109/WIECON-ECE.2017.8468896","DOIUrl":"https://doi.org/10.1109/WIECON-ECE.2017.8468896","url":null,"abstract":"This paper shows the performance of Shunt Active Power Filter (SAPF) under failure of various sensors. The SAPF have been developed on the basis of Instantaneous Reactive Power Theory (also known as P-Q theory) to generate reference current for harmonic mitigation. The controller aims at the power quality improvement of a power system with the nonlinear load by using SAPF (Shunt Active Power Filter). In general, P-Q theory based controller requires the information of three load currents and three source voltages. Hence, the controller requires information from six sensors. Therefore, failure of any one sensor will affect the overall performance of the SAPF. Here, performance of SAPF under failure of single and multiple sensors is studied. A comparative study has been performed to demonstrate effect on the performance of SAPF under various sensor failure conditions. The power system with compensation has been analyzed in MATLAB/SIMULINK environment through simulations for the conditions of sensor failures, which serves as functional candidates for the P-Q algorithm. Different combinations (i.e., failure of sensors) have been studied to observe its effect on THD in source current. Further, an algorithm for successful compensation of one voltage and one current sensor failure (simultaneously or individually) have been proposed under balanced conditions and successfully verified on MATLAB/SIMULINK platform.","PeriodicalId":188031,"journal":{"name":"2017 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134154757","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 : 2017-12-01DOI: 10.1109/WIECON-ECE.2017.8468922
K. Swain, M. De
The problem of demand and supply balance is usually addressed at the generation side by addition of capacity to meet the load demand. With the recent trend in energy market, the problem of peak load demand can also be met from the user end. Hence, demand side management came into practice and it is one of the important aspect of microgrid through which the consumers can take an informed decision regarding their electricity consumption and benefits the energy providers in minimizing the peak demand by modifying the load profile. Load management is one of the most important components of demand side management to regulate the consumption of electricity. The energy management techniques presented in this paper is based on order of shifting of flexible loads. The flexible loads are shifted to obtain a flat load demand which in turn reduces the peak demand. Three different procedures are used for selecting which load to shift first and the methods are compared to decide most suitable one. The proposed method is supported with a case study of residential loads. This technique of load management improves the system reliability and makes the system sustainable.
{"title":"Analysis of Effectiveness of Flexible Load Shifting Order on Optimum DSM","authors":"K. Swain, M. De","doi":"10.1109/WIECON-ECE.2017.8468922","DOIUrl":"https://doi.org/10.1109/WIECON-ECE.2017.8468922","url":null,"abstract":"The problem of demand and supply balance is usually addressed at the generation side by addition of capacity to meet the load demand. With the recent trend in energy market, the problem of peak load demand can also be met from the user end. Hence, demand side management came into practice and it is one of the important aspect of microgrid through which the consumers can take an informed decision regarding their electricity consumption and benefits the energy providers in minimizing the peak demand by modifying the load profile. Load management is one of the most important components of demand side management to regulate the consumption of electricity. The energy management techniques presented in this paper is based on order of shifting of flexible loads. The flexible loads are shifted to obtain a flat load demand which in turn reduces the peak demand. Three different procedures are used for selecting which load to shift first and the methods are compared to decide most suitable one. The proposed method is supported with a case study of residential loads. This technique of load management improves the system reliability and makes the system sustainable.","PeriodicalId":188031,"journal":{"name":"2017 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE)","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131825952","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 : 2017-12-01DOI: 10.1109/WIECON-ECE.2017.8468888
Milind Saurabh Singh, Khanda Anum, Rajan Mishra, G. Tripathi
A printed slot microstrip antenna with defected ground plane covering the whole UWB and WLAN is presented in this paper, the operating frequency range of antenna lies in the range from 2GHz-10.6GHz, with the peak gain of 6.8dB. The antenna is introduced with the notches in the patch and two slots and notches in the defected ground plane having slot of size (ג/4) resulting in the improvement of the peak gain of the antenna to 6.8dB which is 17.5% more gain than the conventional antenna design. The antenna is constructed over a dielectric substrate FR4 epoxy of relative permittivity 4.4 and loss tangent of 0.017, the dimensions of the antenna are 50×55×1.75(mm). The impedance bandwidth of this antenna is from 2-10.6GHz which is 125% of the conventional antenna (defined by the 10dB return loss). The VSWR is less than 2dB over the entire operating range of antenna. The applications of the antenna is lies in WiMax Band, WLAN band, ISM Band, C-Band and UWB.
{"title":"Performance Enhancement Of Microstrip Patch Antenna For UWB And WLAN Applications","authors":"Milind Saurabh Singh, Khanda Anum, Rajan Mishra, G. Tripathi","doi":"10.1109/WIECON-ECE.2017.8468888","DOIUrl":"https://doi.org/10.1109/WIECON-ECE.2017.8468888","url":null,"abstract":"A printed slot microstrip antenna with defected ground plane covering the whole UWB and WLAN is presented in this paper, the operating frequency range of antenna lies in the range from 2GHz-10.6GHz, with the peak gain of 6.8dB. The antenna is introduced with the notches in the patch and two slots and notches in the defected ground plane having slot of size (ג/4) resulting in the improvement of the peak gain of the antenna to 6.8dB which is 17.5% more gain than the conventional antenna design. The antenna is constructed over a dielectric substrate FR4 epoxy of relative permittivity 4.4 and loss tangent of 0.017, the dimensions of the antenna are 50×55×1.75(mm). The impedance bandwidth of this antenna is from 2-10.6GHz which is 125% of the conventional antenna (defined by the 10dB return loss). The VSWR is less than 2dB over the entire operating range of antenna. The applications of the antenna is lies in WiMax Band, WLAN band, ISM Band, C-Band and UWB.","PeriodicalId":188031,"journal":{"name":"2017 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132763603","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 : 2017-12-01DOI: 10.1109/WIECON-ECE.2017.8468926
M. Lahari, B. Niranjana Krupa
In this paper, an intelligent CBMIR system developed to classify and search for relevant X-ray images is presented. Here, a total of 1750 X-ray images from Image Retrieval in Medical Applications (IRMA) database belonging to 25 different categories are used. These images are preprocessed and features are extracted using principal component analysis (PCA), wavelet transform and speeded up robust feature (SURF) descriptors. A bag of visual words or codewords are generated, from the features, to represent images in the database. This helps in forming the feature vector of the query image. Classification performance has been compared using three classifiers: support vector machine (SVM), k-nearest neighbor (KNN) and relevance vector machine (RVM). A 5-fold cross validation approach resulted in a maximum accuracy of 92.256% using SURF descriptors and a kernel based SVM classifier.
{"title":"Intelligent Content Based X-Ray Image Retrieval using Speeded up Robust Feature Descriptors","authors":"M. Lahari, B. Niranjana Krupa","doi":"10.1109/WIECON-ECE.2017.8468926","DOIUrl":"https://doi.org/10.1109/WIECON-ECE.2017.8468926","url":null,"abstract":"In this paper, an intelligent CBMIR system developed to classify and search for relevant X-ray images is presented. Here, a total of 1750 X-ray images from Image Retrieval in Medical Applications (IRMA) database belonging to 25 different categories are used. These images are preprocessed and features are extracted using principal component analysis (PCA), wavelet transform and speeded up robust feature (SURF) descriptors. A bag of visual words or codewords are generated, from the features, to represent images in the database. This helps in forming the feature vector of the query image. Classification performance has been compared using three classifiers: support vector machine (SVM), k-nearest neighbor (KNN) and relevance vector machine (RVM). A 5-fold cross validation approach resulted in a maximum accuracy of 92.256% using SURF descriptors and a kernel based SVM classifier.","PeriodicalId":188031,"journal":{"name":"2017 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131374353","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 : 2017-12-01DOI: 10.1109/wiecon-ece.2017.8468899
P. Thote, M. Daigavane, P. Daigavane, S. Kamble, Chandrakant Rathore
This paper presents an efficient Artificial Neural Network (ANN) approach for discriminating the internal faults from the non-internal faults in a transformer. The wavelet transform is a powerful tool for analyzing transient conditions because of its ability to extract information both in time and frequency domain simultaneously. Simulation of the differential protection scheme of a transformer to obtain various operating conditions is done using MATLAB/SIMULINK taking 1 cycle of data window (20 msec.). Different operating conditions such as normal, internal fault, external fault, switching inrush, and over fluxing are analyzed and processed to obtain certain statistical parameters of wavelet coefficients at the different decomposition levels. Authors have used Arduino Uno ATmega328P platform for hardware implementation of ANN architecture. Results indicate that overall classification accuracy is found to be 95.63 %.
提出了一种基于人工神经网络的变压器内部故障与非内部故障判别方法。小波变换能够同时提取时域和频域信息，是分析暂态状态的有力工具。利用MATLAB/SIMULINK以1个周期的数据窗口(20毫秒)对变压器的差动保护方案进行仿真，以获得各种工况。对正常、内部故障、外部故障、开关涌流、过磁通等不同工况进行分析处理，得到不同分解层次上小波系数的一定统计参数。作者利用Arduino Uno ATmega328P平台对人工神经网络架构进行了硬件实现。结果表明，该方法的总体分类准确率为95.63%。
{"title":"Hardware-in-Loop Implementation of ANN Based Differential Protection of Transformer","authors":"P. Thote, M. Daigavane, P. Daigavane, S. Kamble, Chandrakant Rathore","doi":"10.1109/wiecon-ece.2017.8468899","DOIUrl":"https://doi.org/10.1109/wiecon-ece.2017.8468899","url":null,"abstract":"This paper presents an efficient Artificial Neural Network (ANN) approach for discriminating the internal faults from the non-internal faults in a transformer. The wavelet transform is a powerful tool for analyzing transient conditions because of its ability to extract information both in time and frequency domain simultaneously. Simulation of the differential protection scheme of a transformer to obtain various operating conditions is done using MATLAB/SIMULINK taking 1 cycle of data window (20 msec.). Different operating conditions such as normal, internal fault, external fault, switching inrush, and over fluxing are analyzed and processed to obtain certain statistical parameters of wavelet coefficients at the different decomposition levels. Authors have used Arduino Uno ATmega328P platform for hardware implementation of ANN architecture. Results indicate that overall classification accuracy is found to be 95.63 %.","PeriodicalId":188031,"journal":{"name":"2017 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132393273","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 : 2017-12-01DOI: 10.1109/WIECON-ECE.2017.8468910
Piyali Das, R. K. Meheta, O. P. Roy
In this paper optimal control design is used to build a controller and various design methods is discussed for disturbance rejection in industrial control. ESO minimizes the disturbance from the system and estimates the unknown states and the system becomes stable. An observer FSFESO is introduced to observe the unknown states along with minimization of a scalar disturbance. The performance and robustness is discussed here for various control system problems from industry or laboratory. In the nonlinear MIMO system disturbance rejection is very complicated due to the high nonlinearity of the model. Here in this paper 2-DOF Helicopter by $mathrm {M}/mathrm {s}$. QUANSER Innovate Educate is used as a plant. The coupling effect of the model is very strong in both the inputs i.e pitch and yaw angle. If a disturbance signal is given to the pitch angle input a higher disturbance will be generated in the yaw angle of output, due to the coupling of the model. The systems stability is very sensitive and to control such type of system is a big challenge, however one extended state type observer controller is proposed for the stable output of the system using optimal control method.
{"title":"Disturbance rejection using Extended State Observer for a MIMO system","authors":"Piyali Das, R. K. Meheta, O. P. Roy","doi":"10.1109/WIECON-ECE.2017.8468910","DOIUrl":"https://doi.org/10.1109/WIECON-ECE.2017.8468910","url":null,"abstract":"In this paper optimal control design is used to build a controller and various design methods is discussed for disturbance rejection in industrial control. ESO minimizes the disturbance from the system and estimates the unknown states and the system becomes stable. An observer FSFESO is introduced to observe the unknown states along with minimization of a scalar disturbance. The performance and robustness is discussed here for various control system problems from industry or laboratory. In the nonlinear MIMO system disturbance rejection is very complicated due to the high nonlinearity of the model. Here in this paper 2-DOF Helicopter by $mathrm {M}/mathrm {s}$. QUANSER Innovate Educate is used as a plant. The coupling effect of the model is very strong in both the inputs i.e pitch and yaw angle. If a disturbance signal is given to the pitch angle input a higher disturbance will be generated in the yaw angle of output, due to the coupling of the model. The systems stability is very sensitive and to control such type of system is a big challenge, however one extended state type observer controller is proposed for the stable output of the system using optimal control method.","PeriodicalId":188031,"journal":{"name":"2017 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124222500","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 : 2017-12-01DOI: 10.1109/WIECON-ECE.2017.8468873
Beena Rautela, A. Joshi, Krishan Chandra Mishra
The Cultural events play a key role in displaying the ethnic and cultural values and traditions. The fact that there are many cultural events which are celebrated differently due to diverse Indian culture has made it a promising area for research. For any given image of Indian cultural event, the main objective of the paper is to propose a framework which is capable of identifying the Indian cultural event. All the major Indian cultural events have been taken into consideration. The proposed framework relies on Deep Convolutional Neural Networks (DCNN) for recognizing the cultural events, and our approach shows significant results.
{"title":"A study of deep learning technique for Indian cultural event Recognition","authors":"Beena Rautela, A. Joshi, Krishan Chandra Mishra","doi":"10.1109/WIECON-ECE.2017.8468873","DOIUrl":"https://doi.org/10.1109/WIECON-ECE.2017.8468873","url":null,"abstract":"The Cultural events play a key role in displaying the ethnic and cultural values and traditions. The fact that there are many cultural events which are celebrated differently due to diverse Indian culture has made it a promising area for research. For any given image of Indian cultural event, the main objective of the paper is to propose a framework which is capable of identifying the Indian cultural event. All the major Indian cultural events have been taken into consideration. The proposed framework relies on Deep Convolutional Neural Networks (DCNN) for recognizing the cultural events, and our approach shows significant results.","PeriodicalId":188031,"journal":{"name":"2017 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122853700","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 : 2017-12-01DOI: 10.1109/WIECON-ECE.2017.8468927
Shubham Kumar Bhardwaj, K. katara, Rohit Pareta, Tushar Agarwal, P. Rani
DC system have a lot of field application such as Railway, Industry, Commerce and Scientific Applications. To supply this DC energy from the consisting AC system use of Electronic equipments are common. This causes a lot of power quality problems such as Total harmonic distortion (THD) and poor power factor to the supply system. Instead of this it also affect the revenue of the Energy companies in form of energy loss and causes the unnecessary economic impact along with system instabilities. So to improve power quality a single-stage single- switch Boost-Boost power converter with the Average Mode Control Scheme (AMCS) is presented in this paper to provide DC power output. This converter provides 3.90% THD which is 0.20% improved than a single-stage single-switch boost converter [20] at 500W and as per the IEEE standard. Instead of this improvement, converter also widen their fidelity with the further THD alleviation on the increased Reactive power demand. The converter is proposed on the MATLAB/ SIMULINK platform and the waveforms are shown here.
{"title":"Power Quality Improved Single-Stage Single-Switch Boost-Boost Power Converter With Wide Conversion Range","authors":"Shubham Kumar Bhardwaj, K. katara, Rohit Pareta, Tushar Agarwal, P. Rani","doi":"10.1109/WIECON-ECE.2017.8468927","DOIUrl":"https://doi.org/10.1109/WIECON-ECE.2017.8468927","url":null,"abstract":"DC system have a lot of field application such as Railway, Industry, Commerce and Scientific Applications. To supply this DC energy from the consisting AC system use of Electronic equipments are common. This causes a lot of power quality problems such as Total harmonic distortion (THD) and poor power factor to the supply system. Instead of this it also affect the revenue of the Energy companies in form of energy loss and causes the unnecessary economic impact along with system instabilities. So to improve power quality a single-stage single- switch Boost-Boost power converter with the Average Mode Control Scheme (AMCS) is presented in this paper to provide DC power output. This converter provides 3.90% THD which is 0.20% improved than a single-stage single-switch boost converter [20] at 500W and as per the IEEE standard. Instead of this improvement, converter also widen their fidelity with the further THD alleviation on the increased Reactive power demand. The converter is proposed on the MATLAB/ SIMULINK platform and the waveforms are shown here.","PeriodicalId":188031,"journal":{"name":"2017 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117087370","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 : 2017-12-01DOI: 10.1109/WIECON-ECE.2017.8468889
Chandrakant Rathore, P. Thote, S. Kamble, Rasika Linge, Anirudha Marothiya
In this paper, the transmission and substation expansion planning is solved simultaneously by Artificial Bee Colony (ABC) optimization technique. The objective of this proposed approach is to minimize the summation of the Transmission Line Investment cost (TIC) and the Operation Cost (OC). The OC is the combination of the fuel cost of generating units and the Total Wind Power Uncertainty Cost (TWC). To formulate the mathematical structure of Simultaneous Transmission and Substation Expansion Planning (STSEP) problem the widely used DC power flow model is used. The proposed problem also considers the uncertainties in the load. The proposed model is tested on the modified IEEE 24-bus reliability test system. Numerical analyses on the results are briefly presented.
{"title":"Implementation of ABC Algorithm To Solve Simultaneous Substation Expansion And Transmission Expansion Planning","authors":"Chandrakant Rathore, P. Thote, S. Kamble, Rasika Linge, Anirudha Marothiya","doi":"10.1109/WIECON-ECE.2017.8468889","DOIUrl":"https://doi.org/10.1109/WIECON-ECE.2017.8468889","url":null,"abstract":"In this paper, the transmission and substation expansion planning is solved simultaneously by Artificial Bee Colony (ABC) optimization technique. The objective of this proposed approach is to minimize the summation of the Transmission Line Investment cost (TIC) and the Operation Cost (OC). The OC is the combination of the fuel cost of generating units and the Total Wind Power Uncertainty Cost (TWC). To formulate the mathematical structure of Simultaneous Transmission and Substation Expansion Planning (STSEP) problem the widely used DC power flow model is used. The proposed problem also considers the uncertainties in the load. The proposed model is tested on the modified IEEE 24-bus reliability test system. Numerical analyses on the results are briefly presented.","PeriodicalId":188031,"journal":{"name":"2017 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE)","volume":"536 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114544002","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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