2020 IEEE Kansas Power and Energy Conference (KPEC)最新文献

Short-term Power Forecasting Model Based on Dimensionality Reduction and Deep Learning Techniques for Smart Grid 基于降维和深度学习技术的智能电网短期电力预测模型

2020 IEEE Kansas Power and Energy Conference (KPEC) Pub Date : 2020-07-01 DOI: 10.1109/KPEC47870.2020.9167560

Dabeeruddin Syed, S. Refaat, H. Abu-Rub, O. Bouhali

{"title":"Short-term Power Forecasting Model Based on Dimensionality Reduction and Deep Learning Techniques for Smart Grid","authors":"Dabeeruddin Syed, S. Refaat, H. Abu-Rub, O. Bouhali","doi":"10.1109/KPEC47870.2020.9167560","DOIUrl":"https://doi.org/10.1109/KPEC47870.2020.9167560","url":null,"abstract":"This paper evaluates the performance of different feature extraction or dimensionality reduction techniques for the applications of short-term power forecasting using smart meters' data. The number and data type of input features are crucial to the performance of power forecasting models. The performance of the machine learning models decreases with the increase in the number of input features. That is, the machine learning models tend to overfit, and the forecasting accuracy is reduced. The performance of the feature extraction or dimensionality reduction techniques has been evaluated in the context of the forecasting applications with models involving Artificial Neural Networks (ANN), Long Short-Term Memory (LSTM), and Linear Regression (LR). The application is day-ahead forecasting on a real and open dataset of energy utilization by households in England. The obtained results depict the importance of dimensionality reduction techniques for higher accuracy and faster training times. While linear Principal Component Analysis (PCA) is a preferred dimensionality reduction technique for faster training times, kernel PCA, Non-negative Matrix Factorization (NMF), Independent Component Analysis (ICA) and Uniform Manifold Approximation and Projection (UMAP) yield better accuracies.","PeriodicalId":308212,"journal":{"name":"2020 IEEE Kansas Power and Energy Conference (KPEC)","volume":"6 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":"125020400","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

(A Little) Ignorance is Bliss: The Effect of Imperfect Model Information on Stealthy Attacks in Power Grids 无知是福:不完善的模型信息对电网隐形攻击的影响

2020 IEEE Kansas Power and Energy Conference (KPEC) Pub Date : 2020-07-01 DOI: 10.1109/KPEC47870.2020.9167599

S. Harshbarger, Mohsen Hosseinzadehtaher, Balaji Natarajan, Eugene Y. Vasserman, M. Shadmand, G. Amariucai

引用次数: 6

Mobility Analysis of Plug-in Electric Vehicles in San Francisco Applying Monte Carlo Markov Chain 应用蒙特卡洛马尔可夫链分析旧金山地区插电式电动汽车的移动性

2020 IEEE Kansas Power and Energy Conference (KPEC) Pub Date : 2020-07-01 DOI: 10.1109/KPEC47870.2020.9167668

M. Rahmani-Andebili, M. Bonamente, James A. Miller

引用次数: 3

Optimal Protection Relay Placement in Microgrids 微电网中保护继电器的优化配置

2020 IEEE Kansas Power and Energy Conference (KPEC) Pub Date : 2020-07-01 DOI: 10.1109/KPEC47870.2020.9167553

Benjamin Reimer, T. Khalili, A. Bidram, M. Reno, Ronald Matthews

{"title":"Optimal Protection Relay Placement in Microgrids","authors":"Benjamin Reimer, T. Khalili, A. Bidram, M. Reno, Ronald Matthews","doi":"10.1109/KPEC47870.2020.9167553","DOIUrl":"https://doi.org/10.1109/KPEC47870.2020.9167553","url":null,"abstract":"This paper proposes an optimal relay placement approach for microgrids. The proposed approach considers both grid-connected and islanded microgrid modes. The algorithm separately calculates the System Average Interruption Frequency Index (SAIFI) of a microgrid in each operating mode. Then, two weighting factors corresponding to different operating modes are used to calculate the overall SAIFI of the microgrid. The objective is to find the optimal relay locations such that the microgrid overall SAIFI is minimized. The power electronics interfaces associated with distributed energy resources may be classified as grid following or grid forming. As opposed to grid-following distributed energy resources (DERs) such as typical solar inverters, grid-forming inverters are able to control the microgrid voltage and frequency at the point of their interconnection. Therefore, these DERs can facilitate the formation of sub-islands in the microgrid when the protective relays isolate a portion of the microgrid. If there is at least one grid-forming DER available in a sub-island, that sub-island can continue supplying its local load. The exchange market algorithm (EMA) is used for optimizing functions. The effectiveness of the proposed optimal relay placement approach is verified using an 18-bus microgrid and IEEE 123-bus test system.","PeriodicalId":308212,"journal":{"name":"2020 IEEE Kansas Power and Energy Conference (KPEC)","volume":"47 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":"124203046","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: 9

Microgrid Control Strategy Based on Battery Energy Storage System-Virtual Synchronous Generator (BESS-VSG) 基于电池储能系统-虚拟同步发电机(BESS-VSG)的微电网控制策略

2020 IEEE Kansas Power and Energy Conference (KPEC) Pub Date : 2020-07-01 DOI: 10.1109/KPEC47870.2020.9167653

Wei Gao

引用次数: 4

Single-Stage Bidirectional Triple Active Bridge AC-DC converter for Single Phase Grid Applications 单相电网用单级双向三有源桥式交直流变换器

2020 IEEE Kansas Power and Energy Conference (KPEC) Pub Date : 2020-07-01 DOI: 10.1109/KPEC47870.2020.9167522

M. A. Hernández, Damian Sal y Rosas

{"title":"Single-Stage Bidirectional Triple Active Bridge AC-DC converter for Single Phase Grid Applications","authors":"M. A. Hernández, Damian Sal y Rosas","doi":"10.1109/KPEC47870.2020.9167522","DOIUrl":"https://doi.org/10.1109/KPEC47870.2020.9167522","url":null,"abstract":"The design of a Single-Stage Three Port AC-DC converter is analyzed in this article. The structure analyzed is the Triple Active Bridge (TAB) single phase AC-DC converter which can be used for charging of Plug in Hybrid Electric Vehicles or to control the power flow in a micro-grid composed by a renewable source, a battery pack and the single phase grid. The analysis of the converter is focused in the modulation and the high frequency (HF) transformer sizing. The three winding transformer allows safety and voltage matching between the three sources. The sources are connected to the HF transformer with three active bridges which are modulated with a fixed frequency. To compensate the time-variant AC grid voltage in the HF transformer, the grid voltage is modulated with a 50% duty ratio and, the renewable DC source and the battery are modulated with a low frequency sinusoidal time-variant duty ratio. The turn ratio relationship of the HF transformer is chosen to assure inner mode modulation. Bidirectional power flow is controlled by phase shift modulation. This modulation strategy allows soft switching in all active bridges leading to higher efficiency of the converter. The simulation of a 1-KW topology confirms the advantages of the proposed methodology.","PeriodicalId":308212,"journal":{"name":"2020 IEEE Kansas Power and Energy Conference (KPEC)","volume":"36 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":"132867980","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

Cyber Resilience using State Estimation Updates Based on Cyber Attack Matrix Classification 基于网络攻击矩阵分类的状态估计更新网络弹性

2020 IEEE Kansas Power and Energy Conference (KPEC) Pub Date : 2020-07-01 DOI: 10.1109/KPEC47870.2020.9167652

Stephen Hopkins, E. Kalaimannan, C. John

{"title":"Cyber Resilience using State Estimation Updates Based on Cyber Attack Matrix Classification","authors":"Stephen Hopkins, E. Kalaimannan, C. John","doi":"10.1109/KPEC47870.2020.9167652","DOIUrl":"https://doi.org/10.1109/KPEC47870.2020.9167652","url":null,"abstract":"Cyber-physical systems (CPS) maintain operation, reliability, and safety performance using state estimation and control methods. Internet connectivity and Internet of Things (IoT) devices are integrated with CPS, such as in smart grids. This integration of Operational Technology (OT) and Information Technology (IT) brings with it challenges for state estimation and exposure to cyber-threats. This research establishes a state estimation baseline, details the integration of IT, evaluates the vulnerabilities, and develops an approach for detecting and responding to cyber-attack data injections. Where other approaches focus on integration of IT cyber-controls, this research focuses on development of classification tools using data currently available in state estimation methods to quantitatively determine the presence of cyber-attack data. The tools may increase computational requirements but provide methods which can be integrated with existing state estimation methods and provide for future research in state estimation based cyber-attack incident response. A robust cyber-resilient CPS includes the ability to detect and classify a cyber-attack, determine the true system state, and respond to the cyber-attack. The purpose of this paper is to establish a means for a cyber aware state estimator given the existence of sub-erroneous outlier detection, cyber-attack data weighting, cyber-attack data classification, and state estimation cyber detection.","PeriodicalId":308212,"journal":{"name":"2020 IEEE Kansas Power and Energy Conference (KPEC)","volume":"52 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":"115536216","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

Electric Field and Parasitic Capacitance Analysis for HF Transformers with Coaxial Winding Arrangements 同轴绕组高频变压器的电场和寄生电容分析

2020 IEEE Kansas Power and Energy Conference (KPEC) Pub Date : 2020-07-01 DOI: 10.1109/KPEC47870.2020.9167586

Mohamad Saleh Sanjari Nia, Mohammad R. Altimania, P. Shamsi, M. Ferdowsi

{"title":"Electric Field and Parasitic Capacitance Analysis for HF Transformers with Coaxial Winding Arrangements","authors":"Mohamad Saleh Sanjari Nia, Mohammad R. Altimania, P. Shamsi, M. Ferdowsi","doi":"10.1109/KPEC47870.2020.9167586","DOIUrl":"https://doi.org/10.1109/KPEC47870.2020.9167586","url":null,"abstract":"Electric field and voltage distribution analysis play an important role in designing optimal DC-DC converters. Parasitic parameters, especially interwinding and intra-winding capacitances in high frequency (HF) transformers, hugely influence the performance and efficiency of isolated converters. In this paper, electric field, voltage distribution, and insulation coordination are analyzed for a high frequency transformer with coaxial windings. Also, parasitic capacitances such as interwinding and intra-winding capacitances are calculated. Coaxial windings show a robust magnetic coupling and low leakage inductance, which make them suitable for many applications that need low eddy current and copper loss. Hence, a comprehensive analysis on the electric field and capacitive behavior of the high frequency transformers with coaxial windings is very helpful for industrializing them. In this paper, a 2kW HF transformer with voltage level of 400V/400V at frequency of 5 kHz is designed and analyzed for isolated DC-DC converter applications. For analyzing the field distributions and finding the parameters, numerical method is used. Also, the mathematical procedure of finding parameters with finite element method (FEM) is explained. The design method and the analysis procedure used in this paper can later be used for designing optimal isolated DC-DC converters or integrating parasitic parameters in resonant tank circuits for achieving zero voltage switching (ZVS) and zero current switching (ZCS). Especially for converters including silicon carbide (SiC) and gallium nitride (GaN) switches.","PeriodicalId":308212,"journal":{"name":"2020 IEEE Kansas Power and Energy Conference (KPEC)","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":"128785190","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

High Step-Up Continuous Current Active-Switched Boost Quasi-Z-Source Inverters 高升压连续电流有源开关升压准z源逆变器

2020 IEEE Kansas Power and Energy Conference (KPEC) Pub Date : 2020-07-01 DOI: 10.1109/KPEC47870.2020.9167638

Milad Abbasi, M. Mardaneh, Mohsen S. Pilehvar

引用次数: 0

A Hybrid Electric Circuit Battery Model Capturing Dynamic Battery Characteristics 捕获动态电池特性的混合电路电池模型

2020 IEEE Kansas Power and Energy Conference (KPEC) Pub Date : 2020-07-01 DOI: 10.1109/KPEC47870.2020.9167659

Alamgir Ahmad Khattak, A. Khan, Muhammad Safdar, A. Basit, N. Zaffar

引用次数: 1