2020 IEEE International Conference on Power Systems Technology (POWERCON)最新文献_第5页

Single-phase to Three-phase Multilevel Matrix Converter ($1times 3 mathrm{M}^{2}mathrm{C}$) for Induction Motor Drive 用于感应电机驱动的单相到三相多电平矩阵变换器($1乘以3 mathrm{M}^{2}mathrm{C}$

2020 IEEE International Conference on Power Systems Technology (POWERCON) Pub Date : 2020-09-14 DOI: 10.1109/POWERCON48463.2020.9230558

M. Waghmare, B. Umre, M. Aware, Anup Kumar, Shubhangi A. Yerkal

{"title":"Single-phase to Three-phase Multilevel Matrix Converter ($1times 3 mathrm{M}^{2}mathrm{C}$) for Induction Motor Drive","authors":"M. Waghmare, B. Umre, M. Aware, Anup Kumar, Shubhangi A. Yerkal","doi":"10.1109/POWERCON48463.2020.9230558","DOIUrl":"https://doi.org/10.1109/POWERCON48463.2020.9230558","url":null,"abstract":"Single-phase to Three-phase Multilevel Matrix Converter ($1times 3 mathrm{M}^{2}mathrm{C}$) is presented in this paper. This converter connects a single-phase supply to a three-phase load directly with absence of any energy storage device (battery) or any heavy dc-link capacitor. The whole system promises the characteristics of the conventional matrix converter like balance operation and unity power factor (UPF). For analysis purpose a three-phase induction motor is modeled in simulation environment supplied by $1times 3 mathrm{M}^{2}mathrm{C}$>. The $1times 3 mathrm{M}^{2}mathrm{C}$> consists of source side current source rectifier (CSR), and load side three-phase three-level diode clamped inverter (3L-DCI). Complete modulation scheme to control the CSR and multilevel 3L-DCI in decoupled manner in order to simplify complexities of modulation of the $1times 3 mathrm{M}^{2}mathrm{C}$> is presented in this paper. The performance of $1times 3 mathrm{M}^{2}mathrm{C}$> driven three-phase induction motor is analyzed in MATLAB/Simulink environment and compared it with two level matrix converter with valid results are also given in the paper.","PeriodicalId":306418,"journal":{"name":"2020 IEEE International Conference on Power Systems Technology (POWERCON)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124545643","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

An Accurate and Efficient Voltage Behind Reactance Induction Machine Model based on Shifted Frequency Analysis 基于移频分析的准确高效的电抗感应电机后电压模型

2020 IEEE International Conference on Power Systems Technology (POWERCON) Pub Date : 2020-09-14 DOI: 10.1109/POWERCON48463.2020.9230566

Veerabrahmam Bathini, R. Nagaraja, K. Parthasarathy

引用次数: 0

Optimal Power Flow Solution with Uncertain RES using Augmented Grey Wolf Optimzation 基于增强灰狼优化的不确定RES最优潮流解

2020 IEEE International Conference on Power Systems Technology (POWERCON) Pub Date : 2020-09-14 DOI: 10.1109/POWERCON48463.2020.9230659

Inam Ullah Khan, N. Javaid, C. J. Taylor, Kelum A. A Gamage, Xiandong Ma

{"title":"Optimal Power Flow Solution with Uncertain RES using Augmented Grey Wolf Optimzation","authors":"Inam Ullah Khan, N. Javaid, C. J. Taylor, Kelum A. A Gamage, Xiandong Ma","doi":"10.1109/POWERCON48463.2020.9230659","DOIUrl":"https://doi.org/10.1109/POWERCON48463.2020.9230659","url":null,"abstract":"This work focuses on implementing the optimal power flow (OPF) problem, considering wind, solar and hydropower generation in the system. The stochastic nature of renewable energy sources (RES) is modelled using Weibull, Lognormal and Gumbel probability density functions. The system-wide economic aspect is examined with additional cost functions such as penalty and reserve costs for under and overestimating the imbalance of RES power outputs. Also, a carbon tax is imposed on carbon emissions as a separate objective function to enhance the contribution of green energy. For solving the optimization problem, a simple and efficient augmentation to the basic grey wolf optimization (GWO) algorithm is proposed, in order to enhance the algorithm's exploration capabilities. The performance of the new augmented GWO (AGWO) approach, in terms of robustness and scalability, is confirmed on IEEE-30, 57 and 118 bus systems. The obtained results of the AGWO algorithm are compared with modern heuristic techniques for a case of OPF incorporating RES. Numerical simulations indicate that the proposed method has better exploration and exploitation capabilities to reduce operational costs and carbon emissions.","PeriodicalId":306418,"journal":{"name":"2020 IEEE International Conference on Power Systems Technology (POWERCON)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133315838","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: 2

Real-time Peer to Peer Energy Trade with Blockchain Offline Channels* 区块链线下渠道的实时点对点能源交易*

2020 IEEE International Conference on Power Systems Technology (POWERCON) Pub Date : 2020-09-14 DOI: 10.1109/POWERCON48463.2020.9230545

S. Thakur, J. Breslin

引用次数: 3

2020 IEEE International Conference on Power Systems Technology (POWERCON) 2020 IEEE电力系统技术国际会议(POWERCON)

2020 IEEE International Conference on Power Systems Technology (POWERCON) Pub Date : 2020-09-14 DOI: 10.1109/powercon48463.2020

引用次数: 0

Electricity Distribution Resilience Assessment for Potential Seismic Event in New Zealand 新西兰潜在地震事件的配电弹性评估

2020 IEEE International Conference on Power Systems Technology (POWERCON) Pub Date : 2020-09-14 DOI: 10.1109/POWERCON48463.2020.9230572

Duncan Maina, S. Shirzadi, S. Al-sachit, Leo Liu, N. Nair

{"title":"Electricity Distribution Resilience Assessment for Potential Seismic Event in New Zealand","authors":"Duncan Maina, S. Shirzadi, S. Al-sachit, Leo Liu, N. Nair","doi":"10.1109/POWERCON48463.2020.9230572","DOIUrl":"https://doi.org/10.1109/POWERCON48463.2020.9230572","url":null,"abstract":"With the growing number of disasters, it is necessary not only to consider their effects on the electricity network infrastructure but also on the recovery strategies to be applied. The term resilience covers a wide range of time-bound activities ranging from disaster progression to infrastructure recovery. NZ lies on the Australia and Pacific plate boundary commonly referred to as the Alpine Fault (AF). It ruptures on average every 300 years and the last time it ruptured was 1717 thus its probability to rupture in the foreseeable future is high. This study presents results on a study conducted on the impact of AF earthquake of magnitude 7.9 (AF8) onto one of the local distribution networks that lie on the fault line. 2 sections of the study will be summarized in this paper: Mapping of AF8 onto the electricity infrastructure and re-energization analysis in formation of a microgrid. A simple damage analysis has been undertaken based on assuming the component fragility functions to be binary and disaster level to be a spread of MMI levels. Different trajectories of the earthquake are considered. With regards to re-energization, a small hydro power plant (SHPP) with the capability of blackstart, is used to re-energize the network. Detailed models of the network components have been included in order to obtain an accurate response. Re-energization of the different components assuming a particular restoration sequence is shown. MATLAB/SIMULINK has been used as the simulation platform due to its flexibility in modelling.","PeriodicalId":306418,"journal":{"name":"2020 IEEE International Conference on Power Systems Technology (POWERCON)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121301602","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

Stochastic Energy Management of grid-connected microgrid considering battery degradation cost and renewables penetration 考虑电池退化成本和可再生能源渗透率的并网微电网随机能量管理

2020 IEEE International Conference on Power Systems Technology (POWERCON) Pub Date : 2020-09-14 DOI: 10.1109/POWERCON48463.2020.9230570

Juhi Datta, D. Das

引用次数: 2

A Comparative Analysis of Pricing Mechanisms to Enable P2P Energy Sharing of Rooftop Solar Energy 屋顶太阳能P2P能源共享的定价机制比较分析

2020 IEEE International Conference on Power Systems Technology (POWERCON) Pub Date : 2020-09-14 DOI: 10.1109/POWERCON48463.2020.9230562

N. Hadiya, F. Teotia, R. Bhakar, Parul Mathuria, A. Datta

{"title":"A Comparative Analysis of Pricing Mechanisms to Enable P2P Energy Sharing of Rooftop Solar Energy","authors":"N. Hadiya, F. Teotia, R. Bhakar, Parul Mathuria, A. Datta","doi":"10.1109/POWERCON48463.2020.9230562","DOIUrl":"https://doi.org/10.1109/POWERCON48463.2020.9230562","url":null,"abstract":"Increasing environmental concerns have driven the adoption of clean energy sources at the local power system level. However, it is also the cost-economics that has led to the rise in bulk-power system-level participation of renewable energy sources like solar photovoltaic (PV). Distributed and decentralized energy systems have also emerged as an effective alternative to the centralized power system and many countries have announced target-driven policies to encourage the same. Rooftop solar PV is a popular form of distributed generation that has huge potential in facilitating local demand-supply balance and ensuring energy security. However, the true value of rooftop solar energy is not well discovered and enjoyed by both the consumers and the utilities and hence the rooftop solar PV penetration level has not risen significantly, particularly in India, which has an ambitious target of 40 GWp to be achieved by 2022. One of the possible ways to attract more consumer and utility interest in rooftop solar is to provide a fair degree of autonomy wherein the prosumers can sell their excess to their neighbors at prices determined competitively. Peer to peer (P2P) Energy Sharing is one such way of encouraging the same. However, efficient pricing mechanisms are required to enable such a framework along with effective and trust-based platforms to facilitate and manage the trading process. This paper discusses three of such pricing mechanisms - Mid-market rate, bill-sharing, and demand-supply ratio and benchmarks their performances against coalition game-theory based method which is best suited to model such a scenario. These have been compared on various performance indices for an institutional setup in India.","PeriodicalId":306418,"journal":{"name":"2020 IEEE International Conference on Power Systems Technology (POWERCON)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114429736","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

Deep Learning for Model Parameter Calibration in Power Systems 电力系统模型参数标定的深度学习

2020 IEEE International Conference on Power Systems Technology (POWERCON) Pub Date : 2020-09-14 DOI: 10.1109/POWERCON48463.2020.9230531

S. Wshah, Reem Shadid, Yuhao Wu, Mustafa Matar, Beilei Xu, Wencheng Wu, Lei Lin, R. Elmoudi

{"title":"Deep Learning for Model Parameter Calibration in Power Systems","authors":"S. Wshah, Reem Shadid, Yuhao Wu, Mustafa Matar, Beilei Xu, Wencheng Wu, Lei Lin, R. Elmoudi","doi":"10.1109/POWERCON48463.2020.9230531","DOIUrl":"https://doi.org/10.1109/POWERCON48463.2020.9230531","url":null,"abstract":"In power systems, having accurate device models is crucial for grid reliability, availability, and resiliency. Existing model calibration methods based on mathematical approaches often lead to multiple solutions due to the ill-posed nature of the problem, which would require further interventions from the field engineers in order to select the optimal solution. In this paper, we present a novel deep-learning-based approach for model parameter calibration in power systems. Our study focused on the generator model as an example. We studied several deep-learning-based approaches including 1-D Convolutional Neural Network (CNN), Long Short-Term Memory (LSTM), and Gated Recurrent Units (GRU), which were trained to estimate model parameters using simulated Phasor Measurement Unit (PMU) data. Quantitative evaluations showed that our proposed methods can achieve high accuracy in estimating the model parameters, i.e., achieved a 0.0079 MSE on the testing dataset. We consider these promising results to be the basis for further exploration and development of advanced tools for model validation and calibration.","PeriodicalId":306418,"journal":{"name":"2020 IEEE International Conference on Power Systems Technology (POWERCON)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128754412","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: 5

Investigation on aged transformer oil samples using Tin oxide (SnO2) nanoparticles 氧化锡纳米颗粒对老化变压器油样品的研究

2020 IEEE International Conference on Power Systems Technology (POWERCON) Pub Date : 2020-09-14 DOI: 10.1109/POWERCON48463.2020.9230561

H. Thomas, Binu Sankar, D. Gopinath, S. S, Aryanandiny B

引用次数: 1