IEEE Electrification Magazine最新文献_第9页

Grid Edge Visibility: Gaps and a road map 网格边缘可见性:差距和路线图

IF 3.4

IEEE Electrification Magazine Pub Date : 2022-12-01 DOI: 10.1109/MELE.2022.3211015

Y. Zhang, Cong Feng, P. Shaffery, Rui Yang

引用次数: 1

Unleash Values From Grid-Edge Flexibility: An overview, experience, and vision for leveraging grid-edge distributed energy resources to improve grid operations 释放电网边缘灵活性的价值:利用电网边缘分布式能源改善电网运行的概述、经验和愿景

IF 3.4

IEEE Electrification Magazine Pub Date : 2022-12-01 DOI: 10.1109/MELE.2022.3211017

F. Ding, Weijia Liu, Utkarsh Kumar, Yiyun Yao

引用次数: 0

Successful Applications and Future Challenges of Machine Learning for Power Systems: A Summary of Recent Activities by the IEEE WG on Machine Learning for Power Systems [What’s Popular] 电力系统机器学习的成功应用和未来挑战:IEEE工作组关于电力系统机器学习的最新活动综述[流行趋势]

IF 3.4

IEEE Electrification Magazine Pub Date : 2022-12-01 DOI: 10.1109/mele.2022.3211126

F. Li

引用次数: 0

Building Energy Systems as Behind-the-Meter Resources for Grid Services: Intelligent load control and transactive control and coordination 建筑能源系统作为电网服务的表后资源:智能负荷控制和交互控制与协调

IF 3.4

IEEE Electrification Magazine Pub Date : 2022-12-01 DOI: 10.1109/MELE.2022.3211018

S. Katipamula, Robert Lutes, Sen Huang, Roshan L. Kini

{"title":"Building Energy Systems as Behind-the-Meter Resources for Grid Services: Intelligent load control and transactive control and coordination","authors":"S. Katipamula, Robert Lutes, Sen Huang, Roshan L. Kini","doi":"10.1109/MELE.2022.3211018","DOIUrl":"https://doi.org/10.1109/MELE.2022.3211018","url":null,"abstract":"To mitigate the impacts of climate change, significant reductions in emissions from all sectors of the economy are needed. The electricity generation sector has embarked on an ambitious plan to include renewable generation as part of its decarbonization efforts, and many cities and states are mandating all-electric buildings. While renewable resources will reduce emissions, they are not dispatchable, they vary temporally, and their generation is uncertain. Under these conditions, traditional approaches to managing grid reliability, where supply follows demand, will not be efficient and may not be cost-effective. There is a more efficient alternative for balancing the supply–demand imbalance and for absorbing variability and uncertainty of renewable energy using distributed energy resources (DERs) as opposed to reserve generation. Because buildings consume more than 75% of total U.S. annual electricity consumption, behind-the-meter (BTM) DERs have a load flexibility of 77 GW of power and 90 GWh of virtual energy storage capacity nationwide (Kalsi, 2017). Therefore, some portion of the supply–demand imbalance can be met by these DERs at a lower cost compared to business-as-usual solutions.","PeriodicalId":45277,"journal":{"name":"IEEE Electrification Magazine","volume":"16 1","pages":"38-49"},"PeriodicalIF":3.4,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84251407","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

Bringing Artificial Intelligence to the Grid Edge [Technology Leaders] 将人工智能带到网格边缘[技术领导者]

IF 3.4

IEEE Electrification Magazine Pub Date : 2022-12-01 DOI: 10.1109/MELE.2022.3210778

Y. Zhang, Marc Spieler

引用次数: 0

Turning Data into Knowledge: Big data analytics with behind-the-meter distributed energy resources in the digital utility 将数据转化为知识:数字公用事业中分布式能源的大数据分析

IF 3.4

IEEE Electrification Magazine Pub Date : 2022-12-01 DOI: 10.1109/MELE.2022.3211019

Arnie de Castro, Ashley Mui, Garrett Frere

引用次数: 1

Behind-the-Meter Resources: Data-driven modeling, monitoring, and control 幕后资源:数据驱动的建模、监视和控制

IF 3.4

IEEE Electrification Magazine Pub Date : 2022-12-01 DOI: 10.1109/MELE.2022.3211016

N. Yu, Wenyu Wang, Raymond Johnson

引用次数: 0

Exploring Grid-Edge Computing [From the Editor] 探索网格边缘计算[来自编辑]

IF 3.4

IEEE Electrification Magazine Pub Date : 2022-12-01 DOI: 10.1109/mele.2022.3210776

Lingling Fan

引用次数: 0

Welcome to the Special Issue on Grid-Edge Computing With Behind-the-Meter Resources [Guest Editorial] 欢迎来到“网格边缘计算与幕后资源”特刊[客座社论]

IF 3.4

IEEE Electrification Magazine Pub Date : 2022-12-01 DOI: 10.1109/mele.2022.3210777

Y. Zhang, Rui Yang

引用次数: 1

Advanced Metering Infrastructure for Distribution Planning and Operation: Closing the loop on grid-edge visibility 配电规划和运行的先进计量基础设施:关闭电网边缘可见性的环路

IF 3.4

IEEE Electrification Magazine Pub Date : 2022-12-01 DOI: 10.1109/MELE.2022.3211102

Killian McKenna, P. Gotseff, Meredith Chee, Earle Ifuku

{"title":"Advanced Metering Infrastructure for Distribution Planning and Operation: Closing the loop on grid-edge visibility","authors":"Killian McKenna, P. Gotseff, Meredith Chee, Earle Ifuku","doi":"10.1109/MELE.2022.3211102","DOIUrl":"https://doi.org/10.1109/MELE.2022.3211102","url":null,"abstract":"In the recent history of electric utilities, the potential to have visibility of the grid edge is gaining significance for the reliable planning and operation of a clean energy smart grid. Before the recent large-scale customer adoption of distributed energy resources (DERs), distribution networks were planned with a simpler fit-and-forget philosophy. The importance of customer-sited DERs to achieve climate change goals marks a major shift for utility operations. Changes to traditional fit-and-forget planning paradigms require better availability of grid-edge data. Smart metering is an enterprise-wide tool that is enabling visibility when and where it has been most needed. As of 2020, the rollout of smart metering, or advanced metering infrastructure (AMI), had reached more than 100 million meters in the United States, and nearly half of all electricity customers are now equipped with a smart meter (Figure 1). Smart meters are quickly becoming a ubiquitous data capture feature of smart grids. AMI enables utilities to record and measure electricity usage and power-flow metrics at a minimum of hourly intervals and at least once a day. At a minimum, AMI enables interval metering, automatic meter reading enabling accurate and time-interval billing, and the ability to provide feedback on customer energy consumption.","PeriodicalId":45277,"journal":{"name":"IEEE Electrification Magazine","volume":"14 1","pages":"58-65"},"PeriodicalIF":3.4,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79859388","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