中东研究 Pub Date : 2023-03-01 DOI: 10.1109/ISGTMiddleEast56437.2023.10078483

David Michon, T. Masaud

引用次数: 0

Renewable Energy Share Assessment of Electric Vehicles Based on Marginal Contribution to Integrating Renewable Energy 基于可再生能源集成边际贡献的电动汽车可再生能源份额评估

中东研究 Pub Date : 2023-03-01 DOI: 10.1109/ISGTMiddleEast56437.2023.10078587

Yihan Wei, S. Fan, J. Xiao, G. He

{"title":"Renewable Energy Share Assessment of Electric Vehicles Based on Marginal Contribution to Integrating Renewable Energy","authors":"Yihan Wei, S. Fan, J. Xiao, G. He","doi":"10.1109/ISGTMiddleEast56437.2023.10078587","DOIUrl":"https://doi.org/10.1109/ISGTMiddleEast56437.2023.10078587","url":null,"abstract":"Integrating more renewable energy sources (RES) is one of the most crucial goals of the power systems. In recent decades, the electric vehicle (EV) industry is booming, which highly influences the performance of renewable energy integration. Therefore, it is desired to induce EVs to consume more renewable energy in an orderly manner. To this end, this paper proposes an assessment method for the renewable energy share of an EV’s consumption, which could be used as an important metric for demand-side management and integrating RES. First, we present several indicators for the EV charging and system-wide RES integration. Then, the marginal contribution metric is leveraged to assess the renewable energy share of the EV’s consumption considering both charging and discharging modes. Finally, the case study is conducted based on load data from OpenEI and RES outputs from PJM. The results corroborated the effectiveness of the proposed method and demonstrate that EVs can obtain higher renewable energy share when their charging rhythm coincide with the profiles of RES. Hence, EVs can increase their renewable energy share through proper load shifting and facilitate integrating RES.","PeriodicalId":69792,"journal":{"name":"中东研究","volume":"26 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84426138","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

Assessment of Parametric and KDE Statistical Models for Wind Turbine Energy Yield 风电机组发电量参数化和KDE统计模型的评估

中东研究 Pub Date : 2023-03-01 DOI: 10.1109/ISGTMiddleEast56437.2023.10078667

Maisam Wahbah, El-Fouly Tarek H.M., B. Zahawi

{"title":"Assessment of Parametric and KDE Statistical Models for Wind Turbine Energy Yield","authors":"Maisam Wahbah, El-Fouly Tarek H.M., B. Zahawi","doi":"10.1109/ISGTMiddleEast56437.2023.10078667","DOIUrl":"https://doi.org/10.1109/ISGTMiddleEast56437.2023.10078667","url":null,"abstract":"Precise estimation of available wind speed at a certain location is of paramount importance when planning and designing power distribution networks. Parametric Families of Probability Distributions (PFPDs) have been popular choices in the literature. These, however, apply certain assumptions that are too restrictive and may often end up in wrong model identification. To mitigate these limitations, Nonparametric Family of Probability Distributions (NPFPDs), such as the Kernel Density Estimation (KDE), have been considered in recent power systems studies. In this article, three popular PFPDs (Rayleigh, Weibull and Gaussian), and two recently suggested PFPDs for power systems studies (Birnbaum-Saunders and Nakagami-m) are assessed and compared with the KDE approach using Ruleof-Thumb (ROT) for bandwidth estimation. The resulting probabilistic wind speeds are then used to estimate the productivity of the wind turbine by means of energy yield. Results show that PFPDs produced high error values; leading to inaccurate decisions when conducting power systems planning studies. In contrast, the KDE-ROT estimator achieved the lowest estimated absolute error. As such, nonparametric approaches present better candidates for accurately estimating wind turbine energy.","PeriodicalId":69792,"journal":{"name":"中东研究","volume":"1 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82139111","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

Hydrogen as a Sustainable Mobility Fuel: A Global Perspective and Opportunities for India 氢作为可持续交通燃料:印度的全球视角和机遇

中东研究 Pub Date : 2023-03-01 DOI: 10.1109/ISGTMiddleEast56437.2023.10078470

Rajat Agarwal, Aaquib Firdous, Parul Mathuria, R. Bhakar, Vinod Sahai Pareek, H. Tiwari

引用次数: 0

Evolution of Load Redistribution Attack in Cyber Physical Power System 网络物理电力系统负荷重分配攻击的演变

中东研究 Pub Date : 2023-03-01 DOI: 10.1109/ISGTMiddleEast56437.2023.10078512

Rohini Haridas, Satish Sharma, R. Bhakar, Parul Mathuria

引用次数: 0

A Modified Version of the IEEE 39-bus Test System for the Day-Ahead Market 面向日前市场的IEEE 39总线测试系统的改进版本

中东研究 Pub Date : 2023-03-01 DOI: 10.1109/ISGTMiddleEast56437.2023.10078548

Gioacchino Tricarico, Raju Wagle, M. Dicorato, G. Forte, F. Gonzalez-Longatt, J. Rueda

引用次数: 0

Modelling electricity demand in Karachi: historical trends, determinants, and future scenarios 卡拉奇电力需求建模:历史趋势、决定因素和未来情景

中东研究 Pub Date : 2023-03-01 DOI: 10.1109/ISGTMiddleEast56437.2023.10078525

H. Kazmi, Fahad Mehmood

引用次数: 0

Establishing Security Controls For Blockchain Technology In P2P Energy Trading 建立区块链技术在P2P能源交易中的安全控制

中东研究 Pub Date : 2023-03-01 DOI: 10.1109/ISGTMiddleEast56437.2023.10078508

Anera Alahbabi, Khadija Alshehhi, Athari Albloushi, K. Shuaib

{"title":"Establishing Security Controls For Blockchain Technology In P2P Energy Trading","authors":"Anera Alahbabi, Khadija Alshehhi, Athari Albloushi, K. Shuaib","doi":"10.1109/ISGTMiddleEast56437.2023.10078508","DOIUrl":"https://doi.org/10.1109/ISGTMiddleEast56437.2023.10078508","url":null,"abstract":"Blockchain technology creates a distributed ledger of transactions through interconnected blocks which are decentralized, transparent, immutable, and automated. The use of blockchain solutions and applications is growing rapidly which include finance, supply chain management, digital identity, energy, healthcare, and real estate. Due to the rapid economic recovery, global weather variations, maintenance delays caused by the pandemic, and earlier decisions by oil and gas companies to cut investments, energy costs have increased since 2021. Through limiting consumer prices and compensating energy providers for the shortfall, governments are aiming to lessen the impact of increase energy prices on citizens and businesses. The utilization of energy using Blockchain technology, where peer-topeer (P2P) energy trading on local and global energy markets could be enabled, can be an enabler to resolve energy shortage and increasing prices. Currently, National Information Security Standards and International Information Security Standards lack a framework to manage and govern information security controls for P2P energy trading using Blockchain technology. This paper proposes information security controls to complement existing Standards that will enable proper governance of P2P energy trading and discusses associated risks.","PeriodicalId":69792,"journal":{"name":"中东研究","volume":"53 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85157567","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

False Data Injection Detection using H Infinity Filter in an Automatic Generation Controlled Two Area Power System 基于H∞滤波器的二区自动发电控制系统误数据注入检测

中东研究 Pub Date : 2023-03-01 DOI: 10.1109/ISGTMiddleEast56437.2023.10078579

S. Beura, B. Padhy

{"title":"False Data Injection Detection using H Infinity Filter in an Automatic Generation Controlled Two Area Power System","authors":"S. Beura, B. Padhy","doi":"10.1109/ISGTMiddleEast56437.2023.10078579","DOIUrl":"https://doi.org/10.1109/ISGTMiddleEast56437.2023.10078579","url":null,"abstract":"Latest advancements in power systems lead towards the concept of a smart grid which largely depends on the communication infrastructures. These improvements offer better monitoring, control, and protection for effective power flow management in the electrical network. These dependencies of information hamper the system's operation in the existence of any cyber-attacks. The effect of these attacks must be mitigated by compensating for these attacks so that normality can be restored. This work tests an H infinity-based filtering technique to detect the attack signal like step and sine attacks. The test is performed in a two-area power system connected through a tie-line for power exchange. Automatic generation control (AGC) tries to maintain the frequency to a nominal value by providing the essential area control error (ACE) signals to the area controllers. The proposed filter works better than the Kalman fflter in the presence of non-Gaussian noises, also with high noise magnitudes. Further validation is camed out in a test environment consisting of a real-time digtal simulator (RTDS) and Raspberry Pi 4 board connected through an Ethernet]ink. The communication structure incorporated server-client-based TCP/IP socket protocol to transfer test environment information.","PeriodicalId":69792,"journal":{"name":"中东研究","volume":"12 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85161144","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

Distributed Shadow Dynamic Consensus Optimization Framework for Power Market with Parameterization Bidding Strategy of GENCOs 基于genco参数化竞价策略的电力市场分布式影子动态共识优化框架

中东研究 Pub Date : 2023-03-01 DOI: 10.1109/ISGTMiddleEast56437.2023.10078513

Liying Yu, Peng-fei Wang, Zhe Chen, Dewen Li, Ning Li, R. Cherkaoui

引用次数: 2

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