2019 IEEE/IAS 55th Industrial and Commercial Power Systems Technical Conference (I&CPS)最新文献_第5页

Risk Mitigation Strategies for Emergency Power Upgrades in Critical Facilities 关键设施紧急电力升级的风险缓解策略

2019 IEEE/IAS 55th Industrial and Commercial Power Systems Technical Conference (I&CPS) Pub Date : 2019-05-01 DOI: 10.1109/ICPS.2019.8733362

Philip Chow, M. Walker

引用次数: 4

Flexible Demand Resource Pricing Scheme: A Stochastic Benefit-Sharing Approach 弹性需求资源定价方案:一种随机利益分享方法

2019 IEEE/IAS 55th Industrial and Commercial Power Systems Technical Conference (I&CPS) Pub Date : 2019-05-01 DOI: 10.1109/ICPS.2019.8733337

Zhaohao Ding, Fengtian Zhu, Yajing Wang, Ying Lu, Lizi Zhang

引用次数: 8

Hybrid AC/DC Microgrid Configurations for a Net-Zero Energy Community 零净能源社区的交直流混合微电网配置

2019 IEEE/IAS 55th Industrial and Commercial Power Systems Technical Conference (I&CPS) Pub Date : 2019-05-01 DOI: 10.1109/ICPS.2019.8733323

F. B. Ajaei, J. Mohammadi, G. Stevens, E. Akhavan

引用次数: 4

Grid-Connected Wind Power Plants: A Survey on the Integration Requirements in Modern Grid Codes 并网风电场:现代电网规范集成要求综述

2019 IEEE/IAS 55th Industrial and Commercial Power Systems Technical Conference (I&CPS) Pub Date : 2019-05-01 DOI: 10.1109/ICPS.2019.8733382

Yuan-Kang Wu, Shih-Ming Chang, P. Mandal

引用次数: 57

Joint Generation and Demand-side Management for Shipboard Carbon Capture and Storage System 船用碳捕集与封存系统的联合发电与需求侧管理

2019 IEEE/IAS 55th Industrial and Commercial Power Systems Technical Conference (I&CPS) Pub Date : 2019-05-01 DOI: 10.1109/ICPS.2019.8733353

Sidun Fang, Yan Xu, Zhengmao Li

{"title":"Joint Generation and Demand-side Management for Shipboard Carbon Capture and Storage System","authors":"Sidun Fang, Yan Xu, Zhengmao Li","doi":"10.1109/ICPS.2019.8733353","DOIUrl":"https://doi.org/10.1109/ICPS.2019.8733353","url":null,"abstract":"Currently, lots of research have revealed the great potentials of the land-based carbon capture and storage (CCS) system on the control of the greenhouse gas (GHG) emission. But when it comes to the shipboard applications, the CCS integration becomes rather complicated since very limited operating conditions onboard, especially for the shortage of power supply. Nowadays, the all-electric ship (AES), which uses electricity to meet both the propulsion and service loads, has become a trend for future ship designing due to higher efficiency and flexibility, as well as providing a better platform for CCS integration and paving a new way for maritime GHG emission control. To address the power shortage issue led by the CCS integration, this paper first incorporates the demand-side management on the propulsion load and a corresponding joint generation and demand-side management model is proposed. The mathematical model is formulated as a bi-level optimization after certain constraint decomposition and solved by the column and constraint generation algorithm. Extensive simulations demonstrate that, the proposed method is able to relieve the power shortage issue of shipboard CCS, and the corresponding carbon capture level increases from 86% to 93%.","PeriodicalId":160476,"journal":{"name":"2019 IEEE/IAS 55th Industrial and Commercial Power Systems Technical Conference (I&CPS)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114617389","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: 10

Novel Over-Current Protection (OCP) Methodology Applied for Flyback Converters to Improve Accuracy of OCP of Industrial Productions 应用于反激变换器的新型过流保护方法提高工业产品的过流保护精度

2019 IEEE/IAS 55th Industrial and Commercial Power Systems Technical Conference (I&CPS) Pub Date : 2019-05-01 DOI: 10.1109/ICPS.2019.8733328

Ming-Tse Kuo, Ming-Chang Tsou, Shiue‐Der Lu

引用次数: 1

Methodology for Quantifying the Economic Impact of Cyberattacks on Bulk Electric Systems 量化网络攻击对大型电力系统的经济影响的方法

2019 IEEE/IAS 55th Industrial and Commercial Power Systems Technical Conference (I&CPS) Pub Date : 2019-05-01 DOI: 10.1109/ICPS.2019.8733322

D. Kang, Hyuntae Kim, Sungyun Choi

引用次数: 2

Probability-Interval based Optimal Planning of Integrated Energy System with Uncertain Wind Power

2019 IEEE/IAS 55th Industrial and Commercial Power Systems Technical Conference (I&CPS) Pub Date : 2019-05-01 DOI: 10.1109/ICPS.2019.8733343

Zhe Li, Chengfu Wang, Ying Ding, Ming Yang, Wenli Zhu

引用次数: 26

Optimal Demand Response in a building by Battery and HVAC scheduling using Model Predictive Control 基于模型预测控制的电池和暖通空调调度优化需求响应

2019 IEEE/IAS 55th Industrial and Commercial Power Systems Technical Conference (I&CPS) Pub Date : 2019-05-01 DOI: 10.1109/ICPS.2019.8733344

Divya T. Vedullapalli, R. Hadidi, Bill Schroeder

{"title":"Optimal Demand Response in a building by Battery and HVAC scheduling using Model Predictive Control","authors":"Divya T. Vedullapalli, R. Hadidi, Bill Schroeder","doi":"10.1109/ICPS.2019.8733344","DOIUrl":"https://doi.org/10.1109/ICPS.2019.8733344","url":null,"abstract":"The objective of this project is to develop a load forecasting technique and demand management algorithm for a building to schedule battery and Heating Ventilation Air Conditioning system (HVAC) using the Model Predictive Control (MPC). Behind-the-meter energy storage is used for modifying the load shape and minimizing the demand charge of a building. Thermal mass of the building can also be utilized to store the heat/cool energy and HVAC is scheduled to minimize power consumption during peak times. This paper optimizes the battery schedule to minimize the monthly electricity bill. The load profile has to be forecasted and this algorithm uses a two-part forecaster where a deterministic part uses exponentially weighted moving average (EWMA) model accounting for longer term trends and a second order regression model (AR2) accounting for the short term variations. A novel mathematical model has been proposed for calculating HVAC power consumption with a given thermostat schedule. Greater savings can be realized by augmenting this algorithm with HVAC scheduling and authors are working on it minimize HVAC power consumption during peak hours without causing thermal discomfort to the residents of the building.","PeriodicalId":160476,"journal":{"name":"2019 IEEE/IAS 55th Industrial and Commercial Power Systems Technical Conference (I&CPS)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126804217","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: 11

Rapid Method for Generation Prioritization during System Restoration with Renewable Resources 可再生资源系统恢复过程中发电优先级快速排序方法

2019 IEEE/IAS 55th Industrial and Commercial Power Systems Technical Conference (I&CPS) Pub Date : 2019-05-01 DOI: 10.1109/ICPS.2019.8733358

Adam Mate, E. C. Sanchez

{"title":"Rapid Method for Generation Prioritization during System Restoration with Renewable Resources","authors":"Adam Mate, E. C. Sanchez","doi":"10.1109/ICPS.2019.8733358","DOIUrl":"https://doi.org/10.1109/ICPS.2019.8733358","url":null,"abstract":"Quick and reliable power system restoration is critically important after natural disasters or other sudden threats, such as cyber-attacks. Leveraging renewable resources in system restoration shortens recovery times, resulting in prevented life-loss and avoided economic-loss, and improves the resilience of the entire grid. However, it is not a common practice today; the inherent variability of these resources represents a challenge for a streamlined restoration process. This paper presents a prioritized method - starting with renewable generator units then lowering priority to conventional units - to plan the operational schedule of a power system during the restoration process. The goal is to achieve a well balanced system in the presence of significant renewable penetration. Validation and benchmarking experiments were performed on a customized version of the RTS-GMLC test system using six months out of year-long data, tested through hourly simulations. After evaluating the performance and computational costs, this method proved faster than common approaches: a MILP Unit Commitment algorithm, widely used today, and an “enable-and-try” algorithm. In summary, herein a more convenient method is provided to be utilized during time-sensitive restoration, as an online operation-planning aid.","PeriodicalId":160476,"journal":{"name":"2019 IEEE/IAS 55th Industrial and Commercial Power Systems Technical Conference (I&CPS)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129927668","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