2022 IEEE Green Energy and Smart System Systems(IGESSC)最新文献

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Detection of False Data Injection Cyberattacks: Experimental Validation on a Lab-scale Microgrid 虚假数据注入网络攻击的检测:实验室规模微电网的实验验证
2022 IEEE Green Energy and Smart System Systems(IGESSC) Pub Date : 2022-11-07 DOI: 10.1109/IGESSC55810.2022.9955337
E. Naderi, A. Asrari
{"title":"Detection of False Data Injection Cyberattacks: Experimental Validation on a Lab-scale Microgrid","authors":"E. Naderi, A. Asrari","doi":"10.1109/IGESSC55810.2022.9955337","DOIUrl":"https://doi.org/10.1109/IGESSC55810.2022.9955337","url":null,"abstract":"Instantaneous monitoring of smart microgrids is a crucial task of system operators to ensure an acceptable level of security and reliability in the system. To this end, modern communication platforms are being introduced to facilitate the data exchange between field devices and microgrid control center (i.e., a cyber-physical power system). This is where an adversary can take advantage of the smart system to stealthy compromise the sensors’ readings in the cyber layer resulting in different operational issues, which can lead to cascading failures or blackout in extreme cases. As a step toward protecting modern power networks, this article proposes a detection approach, which is oriented toward recurrent neural networks (RNNs), against false data injection (FDI) cyberattacks targeting a lab-scale microgrid developed in Southern Illinois University, Carbondale, IL, USA. To significantly enhance the quality of obtained results in order to be adapted with realistic systems, the proposed framework (i.e., the FDI cyberattack and the RNN-based detection approach) is set up as a real-time digital simulator in the form of hardware-in-the-loop (HIL) testbed, which utilizes the physical components of the developed lab-scale microgrid. In this regard, the OP4510 HIL simulator is upgraded by a 16-channel Imperix Power Interface and a dual-port PCI-E X1 Gigabit Ethernet to perform the FDI attacks on the sensors’ readings. Moreover, the proposed detection framework is able to distinguish FDI attacks from other transient events (e.g., alteration in demand level). The experimental results demonstrate the effectiveness of the developed false data detection approach in different scenarios.","PeriodicalId":166147,"journal":{"name":"2022 IEEE Green Energy and Smart System Systems(IGESSC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131387846","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
INTERPRETER – Tool for non-technical losses detection 用于非技术损失检测的工具
2022 IEEE Green Energy and Smart System Systems(IGESSC) Pub Date : 2022-11-07 DOI: 10.1109/IGESSC55810.2022.9955339
H. Bludszuweit, N. Y. Yürüşen, Pablo López Pérez, D. Martínez-López
{"title":"INTERPRETER – Tool for non-technical losses detection","authors":"H. Bludszuweit, N. Y. Yürüşen, Pablo López Pérez, D. Martínez-López","doi":"10.1109/IGESSC55810.2022.9955339","DOIUrl":"https://doi.org/10.1109/IGESSC55810.2022.9955339","url":null,"abstract":"This article presents a tool for the detection of non-technical losses, which is being developed within the European INTERPRETER project. The tool employs a hybrid method based on feature detection from smart meter data and grid model analysis. This paper focuses on the grid model analysis, where voltage deviations between the grid model (digital twin) and real-world measurements at a low-voltage pilot site have been evaluated. Energy measurements from smart meters represent hourly mean power, while voltage measurements are instantaneous with uneven time intervals. Thus, measurements are not synchronous, which poses a major challenge for grid analysis. The proposed method focuses on daily mean, minimum, and maximum voltage and results show that deviations in daily minimum voltage are the most useful ones. A heatmap is developed, which helps the DSO expert to have a quick overview of all deviations of all meters in a certain time interval (1-day time step). A total of 6 locations have been identified where field inspections will be done.","PeriodicalId":166147,"journal":{"name":"2022 IEEE Green Energy and Smart System Systems(IGESSC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128884100","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
Long Short-Term Memory Customer-Centric Power Outage Prediction Models for Weather-Related Power Outages 针对天气相关停电的长短期记忆以客户为中心的停电预测模型
2022 IEEE Green Energy and Smart System Systems(IGESSC) Pub Date : 2022-11-07 DOI: 10.1109/IGESSC55810.2022.9955338
Mohamed Abaas, Ross Lee, Pritpal Singh
{"title":"Long Short-Term Memory Customer-Centric Power Outage Prediction Models for Weather-Related Power Outages","authors":"Mohamed Abaas, Ross Lee, Pritpal Singh","doi":"10.1109/IGESSC55810.2022.9955338","DOIUrl":"https://doi.org/10.1109/IGESSC55810.2022.9955338","url":null,"abstract":"Severe weather phenomena have become more prevalent resulting in frequent and significant power disruptions and outages. Several weather-related power outage prediction models have been developed. However, most of the developed models focus on predicting outages at the utility’s equipment level, and not at the customer’s level. This paper introduces Long short-term memory (LSTM) power outages prediction models, with high prediction accuracy that have the potential to predict outages at a single customer’s location. The developed models can be deployed into smart energy agents to assist customers in preparing for outages","PeriodicalId":166147,"journal":{"name":"2022 IEEE Green Energy and Smart System Systems(IGESSC)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123386551","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
Directivity at Optical Frequencies Using Nanoantenna Array 纳米天线阵列在光学频率上的指向性
2022 IEEE Green Energy and Smart System Systems(IGESSC) Pub Date : 2022-11-07 DOI: 10.1109/IGESSC55810.2022.9955344
Khue Phung, Anna Lee, Aftab Ahmed
{"title":"Directivity at Optical Frequencies Using Nanoantenna Array","authors":"Khue Phung, Anna Lee, Aftab Ahmed","doi":"10.1109/IGESSC55810.2022.9955344","DOIUrl":"https://doi.org/10.1109/IGESSC55810.2022.9955344","url":null,"abstract":"Directivity has played a vital role in telecom industry by enabling directional radiation of electromagnetic energy thus making satellite communication a possibility. The theory of directional radiation has been rigorously investigated at radio frequencies (RF) and microwave and design guidelines are well established. Here we show a method for the translation of design rules from microwave theory to optical antenna design. At optical frequencies, metal can no longer be treated as a perfect conductor which makes the design translation nontrivial. Plasmonic effects come into play requiring design modifications which are not predicted by RF/microwave theory. In this work, we present the design translation of antenna arrays from microwave to optical regime by considering plasmonic effects as well as material losses using dipole antennas as a model system. Finite difference time domain numerical simulations are carried out to study the array of optical dipole antenna design. We first show that a single dipole antenna is significantly shorter than half a wavelength at optical frequencies in contrast to microwave theory. We further report beam forming using array of optical dipole antennas. Translation of proposed design guidelines and techniques to optical regime could lead to improved device performance in the areas of solar energy conversion, spectroscopy and nanophotonics.","PeriodicalId":166147,"journal":{"name":"2022 IEEE Green Energy and Smart System Systems(IGESSC)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126575429","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
Implementation of Chaotic Encryption Architecture on FPGA for On-Chip Secure Communication* 基于FPGA的片上安全通信混沌加密结构的实现*
2022 IEEE Green Energy and Smart System Systems(IGESSC) Pub Date : 2022-11-07 DOI: 10.1109/IGESSC55810.2022.9955334
Ravi Monani, Brian Rogers, Amin Rezaei, A. Hedayatipour
{"title":"Implementation of Chaotic Encryption Architecture on FPGA for On-Chip Secure Communication*","authors":"Ravi Monani, Brian Rogers, Amin Rezaei, A. Hedayatipour","doi":"10.1109/IGESSC55810.2022.9955334","DOIUrl":"https://doi.org/10.1109/IGESSC55810.2022.9955334","url":null,"abstract":"Chaos is an interesting phenomenon for nonlinear systems that emerges due to its complex and unpredictable behavior. With the escalated use of low-powered edge-compute devices, data security at the edge develops the need for security in communication. The characteristic that Chaos synchronizes over time for two different chaotic systems with their own unique initial conditions, is the base for chaos implementation in communication. This paper proposes an encryption architecture suitable for communication of on-chip sensors to provide a POC (proof of concept) with security encrypted on the same chip using different chaotic equations. In communication, encryption is achieved with the help of microcontrollers or software implementations that use more power and have complex hardware implementation. The small IoT devices are expected to be operated on low power and constrained with size. At the same time, these devices are highly vulnerable to security threats, which elevates the need to have low power/size hardware-based security. Since the discovery of chaotic equations, they have been used in various encryption applications. The goal of this research is to take the chaotic implementation to the CMOS level with the sensors on the same chip. The hardware co-simulation is demonstrated on an FPGA board for Chua encryption/decryption architecture. The hardware utilization for Lorenz, SprottD, and Chua on FPGA is achieved with Xilinx System Generation (XSG) toolbox which reveals that Lorenz’s utilization is ~9% lesser than Chua’s.","PeriodicalId":166147,"journal":{"name":"2022 IEEE Green Energy and Smart System Systems(IGESSC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123019879","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
Impacts of High Penetration of Single-Phase PV Inverters on Protection of Distribution Systems 单相光伏逆变器高侵彻对配电系统保护的影响
2022 IEEE Green Energy and Smart System Systems(IGESSC) Pub Date : 2022-11-07 DOI: 10.1109/IGESSC55810.2022.9955341
Vijay Singh, M. D. Ghamsari, Shadi Chuangpishit, A. Zamani, F. Katiraei, R. Salehi, M. Arifujjaman, R. Salas, A. Johnson, J. Araiza
{"title":"Impacts of High Penetration of Single-Phase PV Inverters on Protection of Distribution Systems","authors":"Vijay Singh, M. D. Ghamsari, Shadi Chuangpishit, A. Zamani, F. Katiraei, R. Salehi, M. Arifujjaman, R. Salas, A. Johnson, J. Araiza","doi":"10.1109/IGESSC55810.2022.9955341","DOIUrl":"https://doi.org/10.1109/IGESSC55810.2022.9955341","url":null,"abstract":"In line with global efforts to achieve 100% renewable energy targets, it is expected to see significantly higher ratio of inverter-based resources (IBRs) integrated into distribution systems. The impacts of high penetration of IBRs on distribution systems has become a critical consideration for utilities to further investigate. Currently, a large percentage of IBRs are distributed roof-top behind-the-meter PV installations which utilize single-phase PV inverters.The existing PV inverters connected to distribution feeders are a combination of legacy and smart inverters. Legacy inverters are the traditional inverter technology with settings and capabilities that follow RULE 21–2003 version. However, the latter generation as called Smart Inverters incorporates specific functions (following the latest version of Rule 21 (after September 2017)) that are intended to support grid and achieve higher penetration.This paper presents a summary of observations from a series of studies with focus on analyzing the impact of high penetration of single-phase smart and legacy PV systems on the existing feeder protection systems. A representative SCE’s distribution feeder was modeled in the PSCAD/EMTDC software and used as a benchmark to perform different scenarios. The remarkable increase in the penetration of solar PV systems, exceeding annual peak load of the feeder was shown to create several protection challenges due to bi-directional power flow and change in fault current level seen by protective elements. A comparative analysis of fault current seen by the feeder protection system with a mix of Distributed Energy Resources (DERs) at different penetration levels is done in this study. Key takeaways from various simulation studies are described.","PeriodicalId":166147,"journal":{"name":"2022 IEEE Green Energy and Smart System Systems(IGESSC)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123481595","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
Modeling Consumption Management Resources and Participation of Wind Farms in Reducing Power Grid Reliability Costs 风电场在降低电网可靠性成本中的消费管理资源与参与建模
2022 IEEE Green Energy and Smart System Systems(IGESSC) Pub Date : 2022-11-07 DOI: 10.1109/IGESSC55810.2022.9955327
Reza Tajik, H. Yeh
{"title":"Modeling Consumption Management Resources and Participation of Wind Farms in Reducing Power Grid Reliability Costs","authors":"Reza Tajik, H. Yeh","doi":"10.1109/IGESSC55810.2022.9955327","DOIUrl":"https://doi.org/10.1109/IGESSC55810.2022.9955327","url":null,"abstract":"One of the most important indicators in determining the optimal reliability of the power grid is the adequacy of resources. High investment costs, insufficient competition, environmental issues, and long periods of traditional power plant construction are reasons that justify the use of wind farms for long-term resource sufficiency. Given the long-term nature of the issue of resource adequacy and reliability in the global electricity grid, the uncertainties of their long-term presence must be modeled for use these sources. This paper aims to utilize power management resources and consider temperature variations in their uncertainty of participation and use of wind farms and considering the dependent nature of their capacity to wind, power plant market and reduce reliability costs. Load and wind farm participation in the capacity market is modeled as a static load reduction in grid paths. The simulation results showed that the participation of load and wind farm in more tracks will increase the reliability costs, so the optimal execution of these programs is 10-bus from 42-bus of IEEE grids.","PeriodicalId":166147,"journal":{"name":"2022 IEEE Green Energy and Smart System Systems(IGESSC)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126135707","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
Wavelet Denoising-Based Deconvolution Algorithm for Radio Telescope Imaging 基于小波降噪的射电望远镜成像反卷积算法
2022 IEEE Green Energy and Smart System Systems(IGESSC) Pub Date : 2022-11-07 DOI: 10.1109/IGESSC55810.2022.9955333
Marco A Marrufo, S. Kwon
{"title":"Wavelet Denoising-Based Deconvolution Algorithm for Radio Telescope Imaging","authors":"Marco A Marrufo, S. Kwon","doi":"10.1109/IGESSC55810.2022.9955333","DOIUrl":"https://doi.org/10.1109/IGESSC55810.2022.9955333","url":null,"abstract":"In this work, wavelets are utilized to perform denoising alongside a deconvolution algorithm in solving the inverse problem in imaging for radio astronomy. In particular, the CLEAN algorithm is utilized to recover an image consisting of user-generated point sources. Wavelet denoising is then applied to both the dirty image before the CLEAN algorithm and to the deconvolved image after the CLEAN algorithm terminates. The results show a clear improvement of the reconstructed image utilizing wavelet denoising in both cases.","PeriodicalId":166147,"journal":{"name":"2022 IEEE Green Energy and Smart System Systems(IGESSC)","volume":"85 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132018778","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
Classifying Shark Behavior in Time and Frequency Domain using CNN and RNN 利用CNN和RNN对鲨鱼行为进行时域和频域分类
2022 IEEE Green Energy and Smart System Systems(IGESSC) Pub Date : 2022-11-07 DOI: 10.1109/IGESSC55810.2022.9955340
Richard Nguyen, N. Sathyanarayana, H. Yeh, Yu Yang
{"title":"Classifying Shark Behavior in Time and Frequency Domain using CNN and RNN","authors":"Richard Nguyen, N. Sathyanarayana, H. Yeh, Yu Yang","doi":"10.1109/IGESSC55810.2022.9955340","DOIUrl":"https://doi.org/10.1109/IGESSC55810.2022.9955340","url":null,"abstract":"This paper uses accelerometer data from California horn sharks obtained from the Shark Lab at California State University, Long Beach, (CSULB) to build a behavior classifier using deep convolutional neural networks (CNN) and recurrent neural networks (RNN). By transforming time series data into frequency domain using Fast Fourier Transform (FFT), we aim to improve the accuracy of classification for our four different behaviors: feeding, swimming, resting, and nondeterministic motion (NDM). We process 2, 5, and 10 seconds snapshots of the data in the time and frequency domains, which are fed into the neural networks toolbox to train the classifiers. It is observed that the performance of both models is drastically improved when the frequency domain data is applied in the deep neural network.","PeriodicalId":166147,"journal":{"name":"2022 IEEE Green Energy and Smart System Systems(IGESSC)","volume":"267 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133696678","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
A Multi-Objective Optimization for Clustering Buildings into Smart Microgrid Communities 智能微电网社区建筑聚类的多目标优化
2022 IEEE Green Energy and Smart System Systems(IGESSC) Pub Date : 2022-11-07 DOI: 10.1109/IGESSC55810.2022.9955342
Nafiseh Ghorbani-Renani, Philip Odonkor
{"title":"A Multi-Objective Optimization for Clustering Buildings into Smart Microgrid Communities","authors":"Nafiseh Ghorbani-Renani, Philip Odonkor","doi":"10.1109/IGESSC55810.2022.9955342","DOIUrl":"https://doi.org/10.1109/IGESSC55810.2022.9955342","url":null,"abstract":"Smart microgrid communities are small groups of buildings and distributed energy resources (DERs) that collectively work to jointly enhance energy security. As a collective system, their energy performance relies on the energy consumption and generation characteristics of constituent buildings. Yet, in practice, the geographical proximity of buildings is often used as the primary clustering criteria for microgrids. In this study, we proposed a novel multi-objective formulation that expands this criterion to consider the heterogeneity and complimentary nature of building load profiles in the clustering process. Specifically, the proposed model clusters households by (i) minimizing the variation in net-energy across the building cluster, and (ii) minimizing the physical distance between buildings contained in the cluster. The study uniquely leverages the augmented ε-constraint method to efficiently populate and analyze Pareto optimal solutions within the resulting tradeoff space. To illustrate the application of the model, it is applied to cluster households within an imagined neighborhood in Ithaca, New York using the Pecan Street Inc. Dataport database. The results illustrate the ability of the proposed model to efficiently design building clusters that balance net energy and physical distance, allowing for increased utilization of DER resources.","PeriodicalId":166147,"journal":{"name":"2022 IEEE Green Energy and Smart System Systems(IGESSC)","volume":"202 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121841588","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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