2022 IEEE Conference on Technologies for Sustainability (SusTech)最新文献_第4页

Hybrid Power Drive Solution for Increased Sustainability in Aircraft Actuation Systems 提高飞机驱动系统可持续性的混合动力驱动解决方案

2022 IEEE Conference on Technologies for Sustainability (SusTech) Pub Date : 2022-04-21 DOI: 10.1109/SusTech53338.2022.9794154

S. O'Donnell, L. Egan, A. Calmels, P. Wheeler

引用次数: 0

Protection Relays in a Model of IEEE n-Bus System using Real Time Digital Simulation 基于实时数字仿真的IEEE n总线系统中继电保护模型

2022 IEEE Conference on Technologies for Sustainability (SusTech) Pub Date : 2022-04-21 DOI: 10.1109/SusTech53338.2022.9794236

Sean Monemi, Roelle Corregidor, Shannon Dunn, Sjoen Koepke, Sonya Weber

引用次数: 0

Detection of False Data Injection Cyberattacks Targeting Smart Transmission/Distribution Networks 针对智能输配电网络的虚假数据注入网络攻击检测

2022 IEEE Conference on Technologies for Sustainability (SusTech) Pub Date : 2022-04-21 DOI: 10.1109/SusTech53338.2022.9794237

E. Naderi, Abdullah Aydeger, A. Asrari

{"title":"Detection of False Data Injection Cyberattacks Targeting Smart Transmission/Distribution Networks","authors":"E. Naderi, Abdullah Aydeger, A. Asrari","doi":"10.1109/SusTech53338.2022.9794237","DOIUrl":"https://doi.org/10.1109/SusTech53338.2022.9794237","url":null,"abstract":"Integration of different infrastructures in the normal operation of modern-day power systems paves the way for adversaries to penetrate into the system and manipulate the data. This is because modern power grids need to be monitored/controlled via information and communication technology (ICT). One of the most significant challenges associated with such power networks is the risk of operational issues (e.g., congestion, voltage instability, etc.) as a consequence of stealthy false data injection (FDI) cyberattacks bypassing bad data detection (BDD) algorithms embedded in both DC and AC state estimations. Toward this end, this paper develops a detection framework oriented toward multi-layer perceptron (MLP) networks to protect the measurements to be processed by power system operators in the upper level. Levenberg-Marquardt (LM) backpropagation, which is a network training function updating the weight/bias based on LM optimization, is implemented to train the developed neural network (NN). A mean absolute percentage error and mean of squares of the network errors are considered to assess the accuracy of the prediction. The developed feed-forward neural network tracks the measurements (e.g., active and reactive powers, voltage magnitudes, etc.) to find the relationship between them to warn the system operator in case of systematic manipulation in the dataset. The effectiveness of the proposed detection framework is validated on the IEEE 14-bus transmission system and the IEEE 33-bus distribution grid.","PeriodicalId":434652,"journal":{"name":"2022 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116070943","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

A Sustainable Integrated Rural Water Management with emphasis on Network Prioritization, Household Water Treatment and Real-Time Feedback 可持续的综合农村水管理，重点是网络优先级，家庭水处理和实时反馈

2022 IEEE Conference on Technologies for Sustainability (SusTech) Pub Date : 2022-04-21 DOI: 10.1109/SusTech53338.2022.9794202

Raghavendra Kumar Raya, Soumya Kar, D. Kumar, Rajiv Gupta

{"title":"A Sustainable Integrated Rural Water Management with emphasis on Network Prioritization, Household Water Treatment and Real-Time Feedback","authors":"Raghavendra Kumar Raya, Soumya Kar, D. Kumar, Rajiv Gupta","doi":"10.1109/SusTech53338.2022.9794202","DOIUrl":"https://doi.org/10.1109/SusTech53338.2022.9794202","url":null,"abstract":"Rural water infrastructure management, an essential aspect of sustainable living in rural areas, is an ignored subject compared to urban areas. For instance, multiple urban studies, such as integrated urban water management (IUWM) and water sensitive urban design (WSUD), discuss the structured management of water, land, and resources for acquiring the most lucrative and societal benefits. However, many rural water infrastructures lack proper planning, coordination, and monitoring. Besides, minimal applied decision making at lower levels misleads to the inefficiency of rural water sources. Research gaps exist in long term water quality testing and continuous monitoring of stored water in rural areas. The current study aims to develop a decentralized system, termed Sustainable Integrated Rural Water Management (SIRWM), for overcoming the challenges plaguing rural areas by utilizing rainwater harvesting (RWH) as the primary source in a study area in Rajasthan, India. The overall setup of the SIRWM targets to diminish over-reliance on groundwater sources in areas facing drought. The study comprises five segments, in the sequential order of survey and data collection, network prioritization, implementation of RWH system using Building Information Modelling (BIM) tools, installation of water filters at households, and collection of real-time feedback through interactive voice response system (IVRS) (an android application) in a selected community of the study area. The integration of all these components results in achieving a robust rural water management.","PeriodicalId":434652,"journal":{"name":"2022 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126353166","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

Shared trench for burying cables in the conversion of overhead to underground networks 架空网络向地下网络转换时埋电缆的共用沟槽

2022 IEEE Conference on Technologies for Sustainability (SusTech) Pub Date : 2022-04-21 DOI: 10.1109/SusTech53338.2022.9794206

Maileen Schwarz Simão, Euler Ribeiro, B. B. Cardoso, Marcos Aurélio Izumida Martins, Moacir Fernandes Lopes, Fabricio Rodrigues

{"title":"Shared trench for burying cables in the conversion of overhead to underground networks","authors":"Maileen Schwarz Simão, Euler Ribeiro, B. B. Cardoso, Marcos Aurélio Izumida Martins, Moacir Fernandes Lopes, Fabricio Rodrigues","doi":"10.1109/SusTech53338.2022.9794206","DOIUrl":"https://doi.org/10.1109/SusTech53338.2022.9794206","url":null,"abstract":"Presented as a strong trend around the world, the burial of electricity networks aims to mitigate conflicts with the physical environment, generating positive aspects in the use of public space, in the aesthetics of the urban environment, in addition to contributing to the safety of citizens. Such action is already implemented in several countries, having as standard the installation of low voltage cables on sidewalks and medium voltage cables on roadways. However, due to the high number of interferences and the high maintenance and operation costs, as well as the possible negative impacts on the environment and traffic, it is not always feasible to use this process, especially in large urban centers. Thus, this article brings to light the study of a new method of allocation of pipelines for underground electricity distribution grids, based on the premise of sharing trenches between low and medium voltage grids, presenting the innovative constructive methods involved and the direct benefits to society and the environment. This study is part of an R&D project proposed by ENEL Distribuição São Paulo, called \"Urban Futurability\", which, together with other work fronts, develops a new concept of a pipeline bank.","PeriodicalId":434652,"journal":{"name":"2022 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"220 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128014519","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

Social Acceptance of Photovoltaic Solar Technology in Saudi Arabia 沙特阿拉伯光伏太阳能技术的社会接受度

2022 IEEE Conference on Technologies for Sustainability (SusTech) Pub Date : 2022-04-21 DOI: 10.1109/SusTech53338.2022.9794244

Malek Alduhaymi, S. Komies, Abdulaziz Alshaya

引用次数: 1

Design and economic analysis of a net-zero water and energy single-family home that meets affordable housing criteria in Florida 佛罗里达州符合经济适用房标准的零水和零能源单户住宅的设计和经济分析

2022 IEEE Conference on Technologies for Sustainability (SusTech) Pub Date : 2022-04-21 DOI: 10.1109/sustech53338.2022.9794201

Kurt Wurthmann

引用次数: 0

Forecast Error Modeling for Microgrid Operation Considering Correlation among Distributed Generators Using Gaussian Process Regression 考虑分布式发电机组相关性的微电网运行预测误差高斯过程回归模型

2022 IEEE Conference on Technologies for Sustainability (SusTech) Pub Date : 2022-04-21 DOI: 10.1109/SusTech53338.2022.9794262

Y. Yoo, Seokheon Cho, Sung-Geun Song, R. Rao

{"title":"Forecast Error Modeling for Microgrid Operation Considering Correlation among Distributed Generators Using Gaussian Process Regression","authors":"Y. Yoo, Seokheon Cho, Sung-Geun Song, R. Rao","doi":"10.1109/SusTech53338.2022.9794262","DOIUrl":"https://doi.org/10.1109/SusTech53338.2022.9794262","url":null,"abstract":"Small-scale and self-sustainable grids known as microgrid (MG) are a key element for future power systems with a high penetration of renewable generators. The uncertainty of renewable power generation in systems such as photovoltaic (PV) and wind turbine needs to be compensated with balancing devices. The balancing devices can be an Energy Storage System (ESS) or conventional thermal fossil-fuel generators with enhanced flexibility. The uncertainty of renewable generators can be statistically analyzed for cost-effective assessment and operation of those compensating devices. Multiple uncertainty factors can be investigated and modeled as a joint probability distribution function (PDF) considering the temporal correlation among themselves. Several uncertainty factors with different marginal distributions and scales can be integrated as multivariate probability distribution by transforming them into normal distribution using rank correlation. As the number of uncertainty factors considered in a microgrid increases, it leads to much more complexity to in defining the conditional probability distribution generated from a joint PDF. In this paper, a method to model the distribution of net-load forecast error is proposed considering the correlation among uncertainty factors. A data-driven Gaussian process regression is introduced to train and validate conditional PDF among uncertainty factors, which are transformed into normal distribution without losing intrinsic marginal distribution. The conditional density function based on the proposed method has better suitability to estimate distribution of netload error. The conditional density function based on the proposed method shows better suitability for estimation of net load error distribution.","PeriodicalId":434652,"journal":{"name":"2022 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131554953","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 Seasonal Spinning Reserve Scheduling for Islanded Microgrid Operation Under Contingency Conditions 应急条件下孤岛微电网运行季节性旋转储备优化调度

2022 IEEE Conference on Technologies for Sustainability (SusTech) Pub Date : 2022-04-21 DOI: 10.1109/SusTech53338.2022.9794276

T. Masaud, Mohammed Imad Ul Haq Siddiqui

引用次数: 2

Development of Racking and Irrigation System for Industrial Revolution 4.0 Vertical Farming 工业革命4.0垂直农业的货架和灌溉系统的开发

2022 IEEE Conference on Technologies for Sustainability (SusTech) Pub Date : 2022-04-21 DOI: 10.1109/SusTech53338.2022.9794218

V. Muniandy

引用次数: 0