2022 IEEE Green Technologies Conference (GreenTech)最新文献_第3页

Detection of Cyber Attacks in Grid-tied PV Systems Using Dynamic Watermarking 基于动态水印的并网光伏系统网络攻击检测

2022 IEEE Green Technologies Conference (GreenTech) Pub Date : 2022-03-30 DOI: 10.1109/GreenTech52845.2022.9772036

Hasan Ibrahim, Jaewon Kim, P. Enjeti, P. Kumar, Le Xie

引用次数: 3

Load Margin Constrained Moving Target Defense against False Data Injection Attacks 负载裕度约束移动目标防御虚假数据注入攻击

2022 IEEE Green Technologies Conference (GreenTech) Pub Date : 2022-03-30 DOI: 10.1109/GreenTech52845.2022.9772024

Hang Zhang, Noah Fulk, Bo Liu, Lawryn Edmonds, Xuebo Liu, Hongyu Wu

{"title":"Load Margin Constrained Moving Target Defense against False Data Injection Attacks","authors":"Hang Zhang, Noah Fulk, Bo Liu, Lawryn Edmonds, Xuebo Liu, Hongyu Wu","doi":"10.1109/GreenTech52845.2022.9772024","DOIUrl":"https://doi.org/10.1109/GreenTech52845.2022.9772024","url":null,"abstract":"Cyber physical security of power systems with high penetration of renewable generation has attracted attention from researchers. One critical issue is that cyber-physical attacks, disguised as uncertain renewable generation, can target conventional power system state estimation (SE). Moving target defense (MTD) is a promising defense strategy to detect stealthy false data injection (FDI) attacks against SE. However, all existing studies myopically perturb the reactance of transmission lines equipped with distributed flexible AC transmission system (D-FACTS) devices without adequately considering the system voltage stability. Exacerbated by the renewable generation uncertainty, existing MTD may cause voltage instability when the power grid is under stress. To address this issue, we propose a novel MTD framework that explicitly considers system voltage stability by using continuation power flow. We utilize the sensitivity matrix of power injection to line impedance, on which an optimization problem for maximizing load margin is formulated. This framework is validated on the IEEE 14-bus system and the IEEE 118-bus system, in which net load redistribution attacks are launched by sophisticated attackers. Steady-state simulations and dynamic simulations on PSS/E show the effectiveness of the proposed framework in circumventing the voltage instability while maintaining the detection effectiveness of MTD. The impact of the proposed method on attack detection effectiveness is also revealed.","PeriodicalId":319119,"journal":{"name":"2022 IEEE Green Technologies Conference (GreenTech)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129182260","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

PV to Vehicle, PV to Grid, Vehicle to Grid, and Grid to Vehicle Micro Grid System Using Level Three Charging Station 光伏到车辆、光伏到电网、车辆到电网和使用三级充电站的电网到车辆微电网系统

2022 IEEE Green Technologies Conference (GreenTech) Pub Date : 2022-03-30 DOI: 10.1109/GreenTech52845.2022.9772041

Afshin Balal, M. Giesselmann

引用次数: 10

Techno-Economic Study of Marine Hydrokinetic Turbines for Electricity Production over the US Gulf stream 美国墨西哥湾流海上水力涡轮机发电技术经济研究

2022 IEEE Green Technologies Conference (GreenTech) Pub Date : 2022-03-30 DOI: 10.1109/GreenTech52845.2022.9772032

N. Sockeel, Amber Galeana, R. Cox

{"title":"Techno-Economic Study of Marine Hydrokinetic Turbines for Electricity Production over the US Gulf stream","authors":"N. Sockeel, Amber Galeana, R. Cox","doi":"10.1109/GreenTech52845.2022.9772032","DOIUrl":"https://doi.org/10.1109/GreenTech52845.2022.9772032","url":null,"abstract":"The electricity production transition leads to the development of low-carbon content renewable energy resources. Due to those challenges, new technologies, such as marine hydrokinetic (MHK) turbines, are dragging more attention concerning their technical and economic feasibility. MHK turbines are essentially like wind turbines, but made for recovering energy related to a flow of water. They can be used for recovering energy from river, ocean, or tidal current. Contrary to wind, such energy resources are much predictable and power density is higher. Furthermore, MHK turbines have the capability to run during natural disaster events, improving the resiliency of the grid. Consequently, this study aims at evaluating the techno-economic feasibility for the deployment of MHK for electricity production over the US gulf stream. The results of this study clearly indicate it is very unlikely this resource around North Carolina coast will be economically attractive, even considering state or government subsidy. On the other hand, the coast of Florida likely offers a great economic potential once the MHK technology reaches its maturity.","PeriodicalId":319119,"journal":{"name":"2022 IEEE Green Technologies Conference (GreenTech)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125187278","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 Optimal Power Smoothing of Solar PV Output Using Meta-Heuristic Optimization 基于元启发式优化的电池集成太阳能光伏输出最优功率平滑

2022 IEEE Green Technologies Conference (GreenTech) Pub Date : 2022-03-30 DOI: 10.1109/GreenTech52845.2022.9772017

Ammar Atif, K. Khan, M. Khalid

引用次数: 2

Sequence Hopping Algorithm for Securing IEC 61850 GOOSE Messages 用于保护IEC 61850 GOOSE消息的跳序算法

2022 IEEE Green Technologies Conference (GreenTech) Pub Date : 2022-03-30 DOI: 10.1109/GreenTech52845.2022.9772034

T. Youssef, Mohamad El Hariri, Osama Mohammed, Celina Wilkerson

引用次数: 0

Neural Network-based Power Flow Model 基于神经网络的潮流模型

2022 IEEE Green Technologies Conference (GreenTech) Pub Date : 2021-12-15 DOI: 10.1109/GreenTech52845.2022.9772026

Thuan Pham, Xingpeng Li

{"title":"Neural Network-based Power Flow Model","authors":"Thuan Pham, Xingpeng Li","doi":"10.1109/GreenTech52845.2022.9772026","DOIUrl":"https://doi.org/10.1109/GreenTech52845.2022.9772026","url":null,"abstract":"Power flow analysis is used to evaluate the flow of electricity in the power system network. Power flow calculation is used to determine the steady-state variables of the system, such as the voltage magnitude / phase angle of each bus and the active/reactive power flow on each branch. The DC power flow model is a popular linear power flow model that is widely used in the power industry. Although it is fast and robust, it may lead to inaccurate line flow results for some transmission lines. Since renewable energy sources such as solar farm or offshore wind farm are usually located far away from the main grid, accurate line flow results on these critical lines are essential for power flow analysis due to the unpredictable nature of renewable energy. Data-driven methods can be used to partially addressed these inaccuracies by taking advantage of historical grid profiles. In this paper, a neural network (NN) model is trained to predict power flow results using historical power system data. Although the training process may take time, once trained, it is very fast to estimate line flows. A comprehensive performance analysis between the proposed NN-based power flow model and the traditional DC power flow model is conducted. It can be concluded that the proposed NN-based power flow model can find solutions quickly and more accurately than DC power flow model.","PeriodicalId":319119,"journal":{"name":"2022 IEEE Green Technologies Conference (GreenTech)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116488716","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: 8