2021 North American Power Symposium (NAPS)最新文献_第9页

Novel Protection Method for Fully Inverter-Based Distribution System Microgrid 全逆变器型配电系统微电网保护新方法

2021 North American Power Symposium (NAPS) Pub Date : 2021-11-14 DOI: 10.1109/NAPS52732.2021.9654533

B. Banu, Michael Smith, S. Kamalasadan

引用次数: 0

A Preliminary Study on the Role of Energy Storage and Load Rationing in Mitigating the Impact of the 2021 Texas Power Outage 储能和负荷配给在缓解2021年德克萨斯州停电影响中的作用初步研究

2021 North American Power Symposium (NAPS) Pub Date : 2021-11-14 DOI: 10.1109/NAPS52732.2021.9654452

Ali Menati, Le Xie

{"title":"A Preliminary Study on the Role of Energy Storage and Load Rationing in Mitigating the Impact of the 2021 Texas Power Outage","authors":"Ali Menati, Le Xie","doi":"10.1109/NAPS52732.2021.9654452","DOIUrl":"https://doi.org/10.1109/NAPS52732.2021.9654452","url":null,"abstract":"In February 2021, an unprecedented winter storm swept across the U.S., severely affecting the Texas power grid, leading to more than 4.5 million customers' electricity service interruption. This paper assesses the load shedding experienced by customers under realistic scenarios in the actual power grid. It also conducts a preliminary study on using energy storage and load rationing to mitigate rotating blackout's adverse impact on the grid. It is estimated that utility-scale battery storage systems with a total installed capacity of 920 GWh would be required to fully offset the load shedding during the Texas power outage if energy storage were the only technical option. Our simulation result suggests that implementing 20 percent load rationing on the system could potentially reduce this estimated energy storage capacity by 85 percent. This estimate is obtained using the predicted capacity and demand profile from February 15 to February 18, 2021. Recognizing the fact that it would be very challenging to practically deploy energy storage of this size, approaches to provide more granular demand reduction are studied as a means of leveraging the energy storage to maximize the survivability of consumers. Preliminary case study suggests the potential of combining load rationing and proper sizing of energy storage would potentially provide much reliability improvement for the grid under such extreme weather conditions.","PeriodicalId":123077,"journal":{"name":"2021 North American Power Symposium (NAPS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129314739","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

Coordinated Steam, Power & Emission Economic Dispatch of Multi-energy Campus Microgrids 多能校园微电网汽电排放协同经济调度

2021 North American Power Symposium (NAPS) Pub Date : 2021-11-14 DOI: 10.1109/NAPS52732.2021.9654608

Patrick Wilk, Jie Li

{"title":"Coordinated Steam, Power & Emission Economic Dispatch of Multi-energy Campus Microgrids","authors":"Patrick Wilk, Jie Li","doi":"10.1109/NAPS52732.2021.9654608","DOIUrl":"https://doi.org/10.1109/NAPS52732.2021.9654608","url":null,"abstract":"This paper presents a coordinated steam, power & emission economic dispatch (SPEED) model for achieving an economical operation of a university campus multi-energy microgrid. The coordinated scheduling of combined heat and power (CHP) units, as well as high efficiency steam boilers is implemented to optimize the entire campus energy provision consisting of both steam and electricity, while considering the campus emission reduction objective. Impacts of demand charge, load profiles, and practical operating constraints of the campus multi-energy microgrid system are modeled and formulated into the SPEED problem based on recorded campus energy systems' historical operation data. The effectiveness of the proposed SPEED model is demonstrated on a simplified campus multienergy microgrid system, considering a planned photovoltaic (PV) farm integration and the utility supply. As demonstrated in the simulation results, comparing with the conventional operation solution the university facility is implementing now, the proposed SPEED was capable of coordinating the optimal provision of electricity, steam, as well as emission reduction resulting in overall campus utility monetary savings.","PeriodicalId":123077,"journal":{"name":"2021 North American Power Symposium (NAPS)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115333011","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

Phasor-Based Optimal Voltage Control for Distribution Grids Through D-PMUs and EV Battery Charger 基于相量的D-PMUs和电动汽车电池充电器配电网最优电压控制

2021 North American Power Symposium (NAPS) Pub Date : 2021-11-14 DOI: 10.1109/NAPS52732.2021.9654753

G. Mejia-Ruiz, R. Cárdenas, M. Paternina, A. Zamora, C. Toledo-Santos

引用次数: 2

Grid Forming Inverter: Laboratory-Scale Hardware Test Bed Setup and Weak Grid Operation 网格形成逆变器:实验室规模的硬件试验台设置和弱网格运行

2021 North American Power Symposium (NAPS) Pub Date : 2021-11-14 DOI: 10.1109/NAPS52732.2021.9654589

Ratik Mittal, Zhixin Miao, Lingling Fan

引用次数: 3

Load Following Flexibility of Small Modular Reactors Coupled with Wind Farms in the Presence of Extreme Wind Conditions 极端风条件下小型模块化反应堆与风电场耦合的负荷跟随灵活性

2021 North American Power Symposium (NAPS) Pub Date : 2021-11-14 DOI: 10.1109/NAPS52732.2021.9654735

Joseph Rolland, Elijah Bloom, C. Robinson, H. Karayaka

{"title":"Load Following Flexibility of Small Modular Reactors Coupled with Wind Farms in the Presence of Extreme Wind Conditions","authors":"Joseph Rolland, Elijah Bloom, C. Robinson, H. Karayaka","doi":"10.1109/NAPS52732.2021.9654735","DOIUrl":"https://doi.org/10.1109/NAPS52732.2021.9654735","url":null,"abstract":"Load following small modular reactors (SMRs) promise to be a viable option moving forward with clean energy initiatives. Paired with renewables like wind, they can make up for the significant variation in power output seen in renewables and provide vital reliability. Assuming SMRs can meet the provisions set forth in revision 13 of the Electric Power Research Institute's Utility Requirements Document (EPRI-URD), the aim of this research is to determine whether SMRs linked with wind farms will be able to react quickly enough to meet load requirements. In this case study, seven volatile wind speed datasets were gathered from The National Renewable Energy Laboratory in Colorado. The data were run through simulations representing both Induction Generator (IG) and Doubly-Fed Induction Generator (DFIG) wind farms to estimate power output. Each wind power dataset was then subtracted from each of four load power datasets from a local North Carolina utility to determine the necessary nuclear contribution from a group of SMRs. Each of the 56 individual case studies (28 IG and 28 DFIG) were compared with the EPRI-URD requirements, and it was determined that DFIG farms paired better with the SMRs, and in the most extreme cases, the nuclear plants were able to keep up with a wind farm of maximum size 7.5 MW (IG) and 9 MW (DFIG) based on a 1.5 MW step size.","PeriodicalId":123077,"journal":{"name":"2021 North American Power Symposium (NAPS)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124910539","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

An Energy Management System for Joint Operation of Small-Scale Wind Turbines and Electric Thermal Storage in Isolated Microgrids 孤立微电网中小型风力发电机组与电蓄热联合运行的能量管理系统

2021 North American Power Symposium (NAPS) Pub Date : 2021-11-14 DOI: 10.1109/NAPS52732.2021.9654467

Jinshun Su, P. Dehghanian, Benedict Vergara, Mohammad Heidari Kapourchali

引用次数: 5

Reliability Assessment of Ring and Radial Microgrid Configurations 环形和径向微电网配置的可靠性评估

2021 North American Power Symposium (NAPS) Pub Date : 2021-11-14 DOI: 10.1109/NAPS52732.2021.9654465

Ahmad Abuelrub, Jehad Hedel, Fadi Hamed, Hussein M. K. Al-Masri, C. Singh

引用次数: 1

Tracking the Source of Marginal Electricity Generation on a Spatial-Temporal Basis in an Electricity Market 电力市场中边际发电来源的时空追踪

2021 North American Power Symposium (NAPS) Pub Date : 2021-11-14 DOI: 10.1109/NAPS52732.2021.9654548

Kenji Santacruz, Yuanrui Sang

引用次数: 0

Smart Building Energy Management using Deep Learning Based Predictions 基于深度学习预测的智能建筑能源管理

2021 North American Power Symposium (NAPS) Pub Date : 2021-11-14 DOI: 10.1109/NAPS52732.2021.9654262

M. Palak, G. Revati, A. Sheikh

{"title":"Smart Building Energy Management using Deep Learning Based Predictions","authors":"M. Palak, G. Revati, A. Sheikh","doi":"10.1109/NAPS52732.2021.9654262","DOIUrl":"https://doi.org/10.1109/NAPS52732.2021.9654262","url":null,"abstract":"The prediction of electricity consumption in a building is critical for recognizing the possibilities for energy savings as a part of the digitalization of the built environment. This also helps to mitigate the effects of climate change, since buildings are required to be more adaptable and resilient while consuming less energy and maintaining user comfort. Peak energy demand may be detected using historical building data, allowing users to more efficiently manage their energy consumption while also providing the demand side management response to the utilities for the necessary control and actuation in real-time. In view of this, the paper focuses on various deep learning methods (re-current neural network (RNN), long short term memory (LSTM), and gated recurrent unit (GRU)) to predict electricity consumption of three different types of buildings in a model-free environment. A hybrid model is also developed by combining the features of RNN and GRU for predicting the load profile. Another major contribution of the paper is the introduction of hyperparameter tuning for improving prediction accuracy. The results highlight the effectiveness of the hybrid model in predicting electricity consumption and also show the improvement in prediction accuracy using hyperparameter tuning.","PeriodicalId":123077,"journal":{"name":"2021 North American Power Symposium (NAPS)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122274403","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