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2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC)最新文献

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Metaheuristic Techniques based Optimal Placement and Sizing of Multiple Distributed Generations in Radial Distribution System 基于元启发式技术的径向配电系统多配电代的最优布局和规模
2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC) Pub Date : 2021-11-21 DOI: 10.1109/APPEEC50844.2021.9687628
Ankeshwarapu Sunil, Saikrishna Kongala, C. Venkaiah
{"title":"Metaheuristic Techniques based Optimal Placement and Sizing of Multiple Distributed Generations in Radial Distribution System","authors":"Ankeshwarapu Sunil, Saikrishna Kongala, C. Venkaiah","doi":"10.1109/APPEEC50844.2021.9687628","DOIUrl":"https://doi.org/10.1109/APPEEC50844.2021.9687628","url":null,"abstract":"In this paper, Meta-heuristic techniques were employed for optimal placement and sizing of multiple Distributed Generations (DGs) in a Radial Distribution System (RDS) to mitigate the losses and voltage deviations. In this study, Genetic Algorithm (GA), Shuffled Frog Leap Algorithm (SFLA) and Jaya Algorithm (JAYA) were applied on a standard IEEE 33 bus test system. It was observed from the test results simulated under MATLAB environment that Jaya Algorithm outperformed GA and SFLA for optimal placement and sizing of multiple DGs to mitigate the losses and voltage deviations.","PeriodicalId":345537,"journal":{"name":"2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116576385","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
Intelligent Detection of High Impedance Fault using Extreme Learning Machine 基于极限学习机的高阻抗故障智能检测
2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC) Pub Date : 2021-11-21 DOI: 10.1109/APPEEC50844.2021.9687705
Sunidhi Gupta, S. V, A. M, Bijuna Kunju
{"title":"Intelligent Detection of High Impedance Fault using Extreme Learning Machine","authors":"Sunidhi Gupta, S. V, A. M, Bijuna Kunju","doi":"10.1109/APPEEC50844.2021.9687705","DOIUrl":"https://doi.org/10.1109/APPEEC50844.2021.9687705","url":null,"abstract":"Electrical energy is one of the most promising forms of energy. The power system needs to be in a healthy condition to look after the continuous supply of electrical energy. High Impedance Faults (HIFs) couldn't be detected through conventional protection schemes present in the power systems. In this paper, Discrete Wavelet Transform (DWT) and machine learning techniques are utilized for efficient detection of HIF. The feature extraction is performed using DWT. Ranking of the features is done using t-test class separability criterion. Classification is performed using one of the randomization networks called Extreme Learning Machine (ELM) with four most significant features. Multi-layer perceptron (MLP) and Support Vector Machine (SVM) is also used for comparison. Current signal data for HIF and Non-HIF events are acquired from a standard IEEE 13 bus distribution system. The simulation result shows that the selected method gives good performance accuracy.","PeriodicalId":345537,"journal":{"name":"2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116488710","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
Comparative Performance Assessment of Nine Crystalline and Thin film Solar PV Technologies in Six different climates in India 九种晶体和薄膜太阳能光伏技术在印度六种不同气候条件下的比较性能评估
2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC) Pub Date : 2021-11-21 DOI: 10.1109/APPEEC50844.2021.9687694
Neha Bansal, S. Jaiswal, Gajendra Singh
{"title":"Comparative Performance Assessment of Nine Crystalline and Thin film Solar PV Technologies in Six different climates in India","authors":"Neha Bansal, S. Jaiswal, Gajendra Singh","doi":"10.1109/APPEEC50844.2021.9687694","DOIUrl":"https://doi.org/10.1109/APPEEC50844.2021.9687694","url":null,"abstract":"India has a huge target of achieving 100 GW of solar photovoltaic (PV) installation by year 2022 and hence detailed performance analysis of various crystalline and thin film PV technologies in different climatic conditions is important in ensuring reliability and investment profitability of future solar PV plants in the country. PVSyst simulation tool is used in modeling and analysing the performance of nine commercially available solar PV technologies in six climatic zones in India. Comparative analysis of different PV technologies in terms of energy generation, capacity factor, performance ratio, annual energy density, system efficiency, PV capture & system losses at the end of 1st and 25th year of service life of solar PV plant is presented. Based on the simulation results, solar PV plants with tandem amorphous silicon (a-Si:H tandem) modules have highest yield and performance ratio followed by copper indium gallium di-selenide (CIGS), micro-morph ($mathrm{a}-text{Si}/mumathrm{c}-text{Si}$), heterojunction with intrinsic thin layer (HIT) and cadmium telluride (CdTe) PV technologies in all climates. This is followed by amorphous silicon (a-Si:H) & crystalline PV technologies in hot climates whereas in cold climates, mc-Si and pc-Si PV technologies have comparable performance followed by thin film technologies (a-Si and edge defined film fed growth (Si-EFG)). Si-EFG PV technology is found to have least energy yield and performance ratio in all climates.","PeriodicalId":345537,"journal":{"name":"2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134301258","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
Paper IDs and Author List 论文id和作者列表
2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC) Pub Date : 2021-11-21 DOI: 10.1109/appeec50844.2021.9687786
{"title":"Paper IDs and Author List","authors":"","doi":"10.1109/appeec50844.2021.9687786","DOIUrl":"https://doi.org/10.1109/appeec50844.2021.9687786","url":null,"abstract":"","PeriodicalId":345537,"journal":{"name":"2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132171376","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
Optimal Selection of Switching Topology for PMSM Drive Based on Speed and Torque 基于转速和转矩的永磁同步电机开关拓扑优化选择
2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC) Pub Date : 2021-11-21 DOI: 10.1109/APPEEC50844.2021.9687769
Anoop John, Raja Sekhar Kammala
{"title":"Optimal Selection of Switching Topology for PMSM Drive Based on Speed and Torque","authors":"Anoop John, Raja Sekhar Kammala","doi":"10.1109/APPEEC50844.2021.9687769","DOIUrl":"https://doi.org/10.1109/APPEEC50844.2021.9687769","url":null,"abstract":"This paper envisages the switching topology selection of Permanent Magnet Synchronous Motor (PMSM) based on speed and torque. The different modulation techniques considered here are half frequency, Space Vector Pulse Width Modulation (SVPWM) and Flat top. The various parameters analysed for this selection are efficiency, torque ripple and Total Harmonic Distortion (THD). The machine is allowed to run at different speeds and torques for each of the modulation techniques to analyze the effects on efficiency, torque ripple and THD. Then based on the results proper modulation technique is selected at different regions of speed-torque characteristics. A model of the drive employing Field Oriented Control is developed in Simulink to analyze the various objectives.","PeriodicalId":345537,"journal":{"name":"2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133086846","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
IPMSM Drive with Interleaved Front End Buck Boost Converter for EV Application 带交错前端降压升压变换器的电动汽车IPMSM驱动器
2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC) Pub Date : 2021-11-21 DOI: 10.1109/APPEEC50844.2021.9687749
A. S, J. Mathew
{"title":"IPMSM Drive with Interleaved Front End Buck Boost Converter for EV Application","authors":"A. S, J. Mathew","doi":"10.1109/APPEEC50844.2021.9687749","DOIUrl":"https://doi.org/10.1109/APPEEC50844.2021.9687749","url":null,"abstract":"In this paper, a PhotoVoltaic(PV) array and battery powered Interior Permanent Magnet Synchronous Motor(IPMSM) for Electric vehicle(EV) application along with its design aspects is presented. The PV array works under Maximum Power Point Tracking(MPPT) condition using the Incremental Conductance(InC) algorithm to power the IPMSM during motoring and to charge the battery during braking. The motor is powered during non-sunshine hours by the battery through an Interleaved bidirectional buck-boost converter. The high performance of the motor is achieved using Direct Torque Control with Space Vector Modulation(SVM-DTC) of the IPMSM. SVM-DTC is an important control technique used in motor drives to obtain torque control and high-speed response. Along with modelling of motor and design of PV system, bidirectional converter design is discussed. Results for speed and torque control by the SVM DTC in various driving modes are presented.","PeriodicalId":345537,"journal":{"name":"2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116433071","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
Operation of Controllable Load in a Smart House with Precise HP Temperature Distribution Model 基于精确高温分布模型的智能住宅可控负荷运行
2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC) Pub Date : 2021-11-21 DOI: 10.1109/APPEEC50844.2021.9687730
Kanato Tamashiro, Tetsuya Yabiku, T. Alharbi, A. Hemeida, Hiroshi Takahashi, T. Senjyu
{"title":"Operation of Controllable Load in a Smart House with Precise HP Temperature Distribution Model","authors":"Kanato Tamashiro, Tetsuya Yabiku, T. Alharbi, A. Hemeida, Hiroshi Takahashi, T. Senjyu","doi":"10.1109/APPEEC50844.2021.9687730","DOIUrl":"https://doi.org/10.1109/APPEEC50844.2021.9687730","url":null,"abstract":"In recent years, the introduction of renewable energies has increased significantly due to the global warming, fossil fuel depletion, and Feed-in Tariff. On the consumer side, there is a need to reduce energy consumption and carbon dioxide emissions, and as a countermeasure, smart houses with Photovoltaic, Solar Collector, Heat Pump, etc., have been proposed. However, in the previous studies, the water in the tank is mixed, making it difficult to accurately predict the heat load. Therefore, in this paper, we adopt a model that assumes the temperature distribution in the Heat Pump tank using a simple formula and performs water heating and water boiling based on the temperature distribution. In addition, we determine the optimal operation method of controllable load and compare electricity rates and carbon dioxide emissions.","PeriodicalId":345537,"journal":{"name":"2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115048915","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
Steady-state Initialization of Doubly Fed Induction Generator Based Wind Turbine Considering Grid Side Filter 考虑电网侧滤波器的双馈感应发电机风力发电机组稳态初始化
2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC) Pub Date : 2021-11-21 DOI: 10.1109/APPEEC50844.2021.9687687
D. Karthik, S. M. Kotian, N. Manjarekar
{"title":"Steady-state Initialization of Doubly Fed Induction Generator Based Wind Turbine Considering Grid Side Filter","authors":"D. Karthik, S. M. Kotian, N. Manjarekar","doi":"10.1109/APPEEC50844.2021.9687687","DOIUrl":"https://doi.org/10.1109/APPEEC50844.2021.9687687","url":null,"abstract":"In this paper, a steady-state initialization method for a doubly fed induction generator (DFIG) based wind turbines including grid side (GS) filter equations is discussed. The approach employed considers factors like non-zero grid side converter (GSC) reactive power and GS filter losses. As per the recent grid code requirements, DFIG should be able to participate in reactive power support to maintain voltage stability during faults. Also GSC acts as STATCOM by its structure and supports in damping inter-area oscillations. Above conditions mandates to consider the non-unity power factor operation of GSC. The approach employed also considers GS filter losses, by which an accurate initial values can be obtained. Dynamic evaluation of the steady-state values obtained are performed using eigenvalues and time-domain simulations. The studies are performed on a single-machine-infinite-bus (SMIB) system and the results are compared with dynamic results with a case wherein GS currents are considered as dummy states.","PeriodicalId":345537,"journal":{"name":"2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133749033","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
Dynamic security region algorithm considering sample imbalance and misclassification cost 考虑样本不平衡和误分类代价的动态安全区域算法
2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC) Pub Date : 2021-11-21 DOI: 10.1109/APPEEC50844.2021.9687777
Zhengdong Ren, Wei Hu, Kun Ma, Yiwei Zhang, Wenliang Liu, J. Xiong
{"title":"Dynamic security region algorithm considering sample imbalance and misclassification cost","authors":"Zhengdong Ren, Wei Hu, Kun Ma, Yiwei Zhang, Wenliang Liu, J. Xiong","doi":"10.1109/APPEEC50844.2021.9687777","DOIUrl":"https://doi.org/10.1109/APPEEC50844.2021.9687777","url":null,"abstract":"Due to the high dimension and redundant features of power system operating data, the disadvantages of manual analysis of power network security region gradually appear. SVM algorithm provides a new solution for mining the boundary of power grid security region. However, the data set of power system safety analysis has the problems of unbalanced samples and unequal misclassification costs. As a result, the traditional SVM algorithm, which takes classification accuracy as the optimization goal, cannot meet the requirements of power grid security region mining. Therefore, this paper solves the above problems by increasing the penalty for misclassification of unstable samples at the algorithmic level. In order to improve the classification accuracy and reduce the missed alarm rate, a dynamic security region algorithm is proposed, which takes into account the imbalance of samples and the difference of misclassification costs. Firstly, by introducing penalty parameters of sample misclassification cost, the influence of penalty parameters on classification accuracy and over-fitting index is analyzed. In order to reduce the rate of missing alarm, the SVM algorithm is modified by increasing the penalty for misclassification of unstable samples. In order to improve the classification accuracy of the algorithm, the concept of gray scale interval is introduced. By introducing grayscale interval into the output category probability, the classification results of samples outside the interval are almost reliable. Samples located within the interval can be further determined by time domain simulation. The balance between classification accuracy and missing alarm rate is realized. Finally, a CEPRI36 nodes system example is used to verify the effectiveness of the model and algorithm.","PeriodicalId":345537,"journal":{"name":"2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116781299","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
Battery integrated SPV powered SRM Driven Water Pump 电池集成SPV驱动SRM驱动水泵
2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC) Pub Date : 2021-11-21 DOI: 10.1109/APPEEC50844.2021.9687803
A. M, S. M
{"title":"Battery integrated SPV powered SRM Driven Water Pump","authors":"A. M, S. M","doi":"10.1109/APPEEC50844.2021.9687803","DOIUrl":"https://doi.org/10.1109/APPEEC50844.2021.9687803","url":null,"abstract":"A Switched reluctance motor driven water pumping system powered by solar photovoltaic array (SPV) and a battery storage is presented in this paper. This ensures an uninterruptable water supply irrespective of climatic changes. PV array is the primary source. The optimisation of PV power is achieved using the InC MPPT control. Whenever PV power becomes inadequate to feed pump battery act as a backup. A bidirectional converter which act as a buck boost DC-DC converter through the bidirectional charging control enables battery operation. The SRM motor is consistently operated at rated speed. The system performance is examined through simulation and found adequate under all operation modes.","PeriodicalId":345537,"journal":{"name":"2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124749271","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
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