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2020 International Conference on Computational Intelligence for Smart Power System and Sustainable Energy (CISPSSE)最新文献

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Power Extraction through Various Interconnections of Solar PV Networks by Cogeneration and Energy Production through EMAT model 利用EMAT模型通过热电联产和能源生产的各种太阳能光伏网络互连进行电力提取
2020 International Conference on Computational Intelligence for Smart Power System and Sustainable Energy (CISPSSE) Pub Date : 2020-07-01 DOI: 10.1109/CISPSSE49931.2020.9212242
Bhabasis Mohapatra, S. Jena, B. K. Sahu, S. Kar
{"title":"Power Extraction through Various Interconnections of Solar PV Networks by Cogeneration and Energy Production through EMAT model","authors":"Bhabasis Mohapatra, S. Jena, B. K. Sahu, S. Kar","doi":"10.1109/CISPSSE49931.2020.9212242","DOIUrl":"https://doi.org/10.1109/CISPSSE49931.2020.9212242","url":null,"abstract":"Researches have been conducted in numerous fields on harnessing energy from non-conventional resources for mitigating the requirement of the energy demand on rural, urban, commercial and industrial purpose among of which the Thermoelectric Generator system is found to be an emerging and effective one. In this study, a total of eight SPV panels have been connected in two particular fashions to investigate the behavior and performance of the hybrid SPV-TEG system. The earlier mentioned system consists of the TEG which is placed on the back side of solar PV panel so that the excess heat can be further recovered and reused for usable electricity generation. The fluctuating behavior of the SPV panels in the interconnection has been examined and verified under the influence of Healthy Irradiance (HI) and Sectional Irradiance (SI). The higher concentration of solar insolation leads to rise in the temperature of the panel surface leading to lowering of quantum efficiency and this curse to solar PV becomes the boon when the TEG is incorporated with Solar PV. This integration is found to be a promising way for harnessing the maximum amount of solar power and thermal power from the solar PV modules by utilization of solar spectrum leading to efficiency enhancement. The entire system is modelled, analyzed and studied on MATLAB/Simulink environment.","PeriodicalId":247843,"journal":{"name":"2020 International Conference on Computational Intelligence for Smart Power System and Sustainable Energy (CISPSSE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132896786","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}
引用次数: 0
A Passive Islanding Detection Technique for Grid connected Solar Photovoltaic System 并网太阳能光伏系统无源孤岛检测技术
2020 International Conference on Computational Intelligence for Smart Power System and Sustainable Energy (CISPSSE) Pub Date : 2020-07-01 DOI: 10.1109/CISPSSE49931.2020.9212284
Sonal C. Meshram, Niranjan Kumar
{"title":"A Passive Islanding Detection Technique for Grid connected Solar Photovoltaic System","authors":"Sonal C. Meshram, Niranjan Kumar","doi":"10.1109/CISPSSE49931.2020.9212284","DOIUrl":"https://doi.org/10.1109/CISPSSE49931.2020.9212284","url":null,"abstract":"The world is moving progressively towards the power generation from renewable energy resources because these are inexhaustible, pollution free and available richly in the nature. Due to the advantages of renewable power generation, the grid interconnection of distributed generator (DG) is growing in the power market. The major drawback of this interconnection is an unintentional islanding. The islanding takes place in the power system when the distributed generator continues supply power even when the grid is not connected to the system. However, an unintentional islanding is an unplanned islanding which is harmful to the power system and the people working in it. Therefore it is essential to detect an unintentional islanding so to prevent from its harmful consequences. The islanding must be detected within minimum time delay i.e. within a 2 sec. as per the IEEE standard. In this paper, a solar photovoltaic DG is integrated with the main grid. A total harmonic distortion (THD) based passive method is employed here to detect the islanding in a grid tied solar PV system. In this method, changes in level of harmonics are observed in local parameters based on which detects the islanding. This method has reduced non-detection zone over other passive methods.","PeriodicalId":247843,"journal":{"name":"2020 International Conference on Computational Intelligence for Smart Power System and Sustainable Energy (CISPSSE)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114483943","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}
引用次数: 3
Cascaded Controlled Converter System for Grid Connected Variable Speed Wind Generator 并网变速风力发电机级联控制变流器系统
2020 International Conference on Computational Intelligence for Smart Power System and Sustainable Energy (CISPSSE) Pub Date : 2020-07-01 DOI: 10.1109/CISPSSE49931.2020.9212208
S. Tripathy, B. Mohanty
{"title":"Cascaded Controlled Converter System for Grid Connected Variable Speed Wind Generator","authors":"S. Tripathy, B. Mohanty","doi":"10.1109/CISPSSE49931.2020.9212208","DOIUrl":"https://doi.org/10.1109/CISPSSE49931.2020.9212208","url":null,"abstract":"Today, Sustainable resources are most preferable due to environment protection concern and also efficiency of the system is too high. Wind power energy is one of the most popular among these. A varying speed wind turbine coupled to a PMSG is linked to the electric network via a frequency changer (fully controlled). The frequency changer is composed of a stator side converter with appropriate controller, a DC link (capacitor) and a converter with control system. For stability consideration, many control topologies are adopted and tested under different operating conditions. However all have some merits and demerits. Dynamic performance is the basic concern for the smooth operation of the electric network. A detailed Cascaded controlled converter system where several PI controllers are used in this paper. Whale optimization technique is used on grid side inverter. Detailed modelling of this system is established here, where simulation is done using MATLAB/SIMULINK.","PeriodicalId":247843,"journal":{"name":"2020 International Conference on Computational Intelligence for Smart Power System and Sustainable Energy (CISPSSE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114969148","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}
引用次数: 1
Optimised V-F Controller for PV-Based Microgrid 基于pv的微电网V-F控制器优化
2020 International Conference on Computational Intelligence for Smart Power System and Sustainable Energy (CISPSSE) Pub Date : 2020-07-01 DOI: 10.1109/CISPSSE49931.2020.9212215
A. Choudhury, Chandra Sekhar Sahu, Shubham Keshari, R. K. Mallick, Ramachandra Agrawal, P. Nayak
{"title":"Optimised V-F Controller for PV-Based Microgrid","authors":"A. Choudhury, Chandra Sekhar Sahu, Shubham Keshari, R. K. Mallick, Ramachandra Agrawal, P. Nayak","doi":"10.1109/CISPSSE49931.2020.9212215","DOIUrl":"https://doi.org/10.1109/CISPSSE49931.2020.9212215","url":null,"abstract":"This paper focuses on designing an optimal controller for the microgrid which is based on PV based microgrid along with battery. PQ control mode is normally employed in grid connected mode but in islanded mode V-f control is highly desired to maintain V and f constant. Occurrence of transient disturbances is needed to be controlled by controlling parameters which are sensitive. For controlling both the powers of the system the P-I controller is used. As the nature of the system becomes highly complex and nonlinear it becomes difficult for optimally tuning up the PI gains. Evolutionary algorithm is one of the methods of optimization for solving the optimal problems. In the proposed work analysis of controlling active and reactive power is performed by fire fly algorithm and is utilized for tuning of P-I controllers gains. The efficacy of the tuned controller is verified under islanding conditions with different loading conditions. The study of simulations is done in MATLAB and Simulink environment.","PeriodicalId":247843,"journal":{"name":"2020 International Conference on Computational Intelligence for Smart Power System and Sustainable Energy (CISPSSE)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121906708","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}
引用次数: 1
Comparison of Classifiers for Power Quality Disturbances with Wavelet Statistical Analysis 基于小波统计分析的电能质量扰动分类器比较
2020 International Conference on Computational Intelligence for Smart Power System and Sustainable Energy (CISPSSE) Pub Date : 2020-07-01 DOI: 10.1109/CISPSSE49931.2020.9212300
Laxmipriya Samal, H. Palo, B. Sahu
{"title":"Comparison of Classifiers for Power Quality Disturbances with Wavelet Statistical Analysis","authors":"Laxmipriya Samal, H. Palo, B. Sahu","doi":"10.1109/CISPSSE49931.2020.9212300","DOIUrl":"https://doi.org/10.1109/CISPSSE49931.2020.9212300","url":null,"abstract":"In this paper, an attempt is made to compare the Power Quality (PQ) recognition accuracy with efficient features. Initially, a few of the reliable statistical parameters such as the mean, standard deviation, Root Mean Square (RMS), form factor, crest factor, Shannon entropy, log entropy, normalized entropy, skewness, and kurtosis of eight synthetically generated PQ disturbances and the pure tone signal are computed. These statistical parameters are simple to compute and are of low-dimension. A host of classification techniques such as the K-nearest Neighbor (KNN), Discriminant Analysis (DA), Decision Tree (DT), Support Vector Machine (SVM), Naïve Bayes' (NB), and Random Forest (RF) have been put to test for performance appraisal to determine the discriminating ability of these parameters. Further, the applicability of multi-resolution Wavelet Transform (WT) has been explored to extract these chosen statistical parameters in the WT domain for a possible enhancement in recognition accuracy. The result shows, the RF remains the slowest with the highest accuracy while the performance of the DA remains the poorest. The WT has outperformed the baseline method of statistical analysis as revealed from our results. However, the KNN tends to provide the highest classification accuracy among all others for low feature dimension whereas the speed of response of DT has been fastest.","PeriodicalId":247843,"journal":{"name":"2020 International Conference on Computational Intelligence for Smart Power System and Sustainable Energy (CISPSSE)","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126010622","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}
引用次数: 3
Islanding detection of microgrid using Neural Network 基于神经网络的微电网孤岛检测
2020 International Conference on Computational Intelligence for Smart Power System and Sustainable Energy (CISPSSE) Pub Date : 2020-07-01 DOI: 10.1109/CISPSSE49931.2020.9212278
Sidharth Behera, P. Nayak, R. Mallick, N. Sinha
{"title":"Islanding detection of microgrid using Neural Network","authors":"Sidharth Behera, P. Nayak, R. Mallick, N. Sinha","doi":"10.1109/CISPSSE49931.2020.9212278","DOIUrl":"https://doi.org/10.1109/CISPSSE49931.2020.9212278","url":null,"abstract":"Islanding detection in Distributed Generation is one of the most vital aspect from protection point of view, various existing techniques of islanding detection are discussed. In this paper, multilayer neural networks has been used to classify islanding detection with other power quality events such as capacitor switching and load switching. The paper also highlights about the requirement of an efficient classifier which can detect the unintentional islanding with more accuracy within a comparatively less amount of time. Moreover the paper is focused on Islanding detection issues in Distributed generation with high penetration of wind energy.","PeriodicalId":247843,"journal":{"name":"2020 International Conference on Computational Intelligence for Smart Power System and Sustainable Energy (CISPSSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129470918","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}
引用次数: 0
Model Predictive Control of Three Phase Inverter Fed RL Load 三相逆变器Fed RL负荷的模型预测控制
2020 International Conference on Computational Intelligence for Smart Power System and Sustainable Energy (CISPSSE) Pub Date : 2020-07-01 DOI: 10.1109/cispsse49931.2020.9212303
Shaswat Chirantan, Bibhuti Bhusan Pati
{"title":"Model Predictive Control of Three Phase Inverter Fed RL Load","authors":"Shaswat Chirantan, Bibhuti Bhusan Pati","doi":"10.1109/cispsse49931.2020.9212303","DOIUrl":"https://doi.org/10.1109/cispsse49931.2020.9212303","url":null,"abstract":"The management strategy that uses a plant model for the prediction of future characteristics of a control variable is called as Model Predictive Control(MPC). This paper proposes a predictive model of a three phase inverter with passive RL load with load current as predicted variable & termed as Predictive Current Control(PCC). In the proposed PCC scheme Space Vector Modulation(SVM) technique is implemented for switching state selection of inverter for an assigned cost function in terms of reference & predicted current difference with most optimum value. Discretized forward Euler approximation is used to predict the load current. The MPC algorithm is implemented in a three phase inverter model using the MATLAB / SIMULINK environment.","PeriodicalId":247843,"journal":{"name":"2020 International Conference on Computational Intelligence for Smart Power System and Sustainable Energy (CISPSSE)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131945526","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}
引用次数: 0
Array Thinning of Beamformers using Simple Genetic Algorithm 基于简单遗传算法的波束形成器阵列细化
2020 International Conference on Computational Intelligence for Smart Power System and Sustainable Energy (CISPSSE) Pub Date : 2020-07-01 DOI: 10.1109/CISPSSE49931.2020.9212258
Anurag Mohan, A. Raj
{"title":"Array Thinning of Beamformers using Simple Genetic Algorithm","authors":"Anurag Mohan, A. Raj","doi":"10.1109/CISPSSE49931.2020.9212258","DOIUrl":"https://doi.org/10.1109/CISPSSE49931.2020.9212258","url":null,"abstract":"The number of array elements of large arrays can be reduced to obtain desired beamforms with low relative side lobe level with the additional benefit of reduced power consumption. However, the traditional methods in doing so prove inefficient. This paper presents how to optimize such large array elements using Simple Genetic Algorithm. Simulations have been carried out on a 1600 element Uniform Rectangular Planar Array. Thinning has been done to achieve side lobe levels of less than -17 Db or approximately 32% improvement from the full array. The resulting beam form and array geometry has also been shown for perspective.","PeriodicalId":247843,"journal":{"name":"2020 International Conference on Computational Intelligence for Smart Power System and Sustainable Energy (CISPSSE)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131324982","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}
引用次数: 7
Real-Time Implementation of ALMS-NN Controlled UPQC alm - nn控制UPQC的实时实现
2020 International Conference on Computational Intelligence for Smart Power System and Sustainable Energy (CISPSSE) Pub Date : 2020-07-01 DOI: 10.1109/CISPSSE49931.2020.9212214
Biswajit Sahoo, A. Panda, M. Mangaraj, G. Sahoo
{"title":"Real-Time Implementation of ALMS-NN Controlled UPQC","authors":"Biswajit Sahoo, A. Panda, M. Mangaraj, G. Sahoo","doi":"10.1109/CISPSSE49931.2020.9212214","DOIUrl":"https://doi.org/10.1109/CISPSSE49931.2020.9212214","url":null,"abstract":"This paper presents an ALMS-NN (Adaptive Least Mean Square Neural Network) controller based algorithm strategy for the three phase three wire (3p3w) Unified power quality conditioner (UPQC) system. The vital aim of active power conditioning is to manage disparate power quality apropos issues such as mitigation of harmonics in both current as well as voltage, voltage balancing and voltage regulation, compensation of reactive power and power factor correction (PFC) in the power distribution network. An adaptive control algorithm (ALMS-NN) is carried out to extract the compensating reference source currents for shunt and instantaneous p-q control theory to extract the reference source voltage for series active power filters (APFs) of UPQC. Moreover, the voltage source converters (VSC) of the UPQC are triggered by using these reference currents and voltages and performances are compared under uneven loading conditions. The effectuality of the ANN controller algorithm is depicted on the basis of mathematical equation with in-depth simulation study by applying MATLAB/SIMULINK tool in parallel with real-time implementation by RTDS (real time digital simulator).","PeriodicalId":247843,"journal":{"name":"2020 International Conference on Computational Intelligence for Smart Power System and Sustainable Energy (CISPSSE)","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131725775","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}
引用次数: 4
Performance of Six-Leg Solar Photovoltaic based ZSI-DVR 六腿太阳能光伏ZSI-DVR性能研究
2020 International Conference on Computational Intelligence for Smart Power System and Sustainable Energy (CISPSSE) Pub Date : 2020-07-01 DOI: 10.1109/CISPSSE49931.2020.9212220
M. Prasad, Yogesh Kumar Nayak
{"title":"Performance of Six-Leg Solar Photovoltaic based ZSI-DVR","authors":"M. Prasad, Yogesh Kumar Nayak","doi":"10.1109/CISPSSE49931.2020.9212220","DOIUrl":"https://doi.org/10.1109/CISPSSE49931.2020.9212220","url":null,"abstract":"This paper discusses the renewable energy (RE) fed Six-Leg (6-L) Dynamic Voltage Restorer based Z-source inverter (ZSI) for control swell and sag. The perturbation and Observation method is also utilized to get an extreme power from solar system. The proposed framework is approved utilizing MATLAB/SIMULINK programming to limit voltage swell and sag.","PeriodicalId":247843,"journal":{"name":"2020 International Conference on Computational Intelligence for Smart Power System and Sustainable Energy (CISPSSE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126409913","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}
引用次数: 0
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