Advanced Dynamic Load Modeling for Modern Smart Grids
现代智能电网的高级动态负载建模
基本信息
- 批准号:RGPIN-2016-04170
- 负责人:
- 金额:$ 2.62万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Discovery Grants Program - Individual
- 财政年份:2017
- 资助国家:加拿大
- 起止时间:2017-01-01 至 2018-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Power system planning, operation, and control rely heavily on simulation models. Among all component modeling, load representation remains among the least accurate due to a large number of diverse loads in the system and their time variant stochastic nature. New non-conventional power electronics loads and intermittent distributed generation add more complication and challenge to accurate load modeling. An accurate dynamic load model is very important for power system stability. Despite load modeling research efforts in past decades, a worldwide survey published in 2013 indicated the following major issues, which could hinder proper design and operation of the modern power grid. About 70% of 97 surveyed utilities and system operators around the world use only static load models for power system stability studies. Only 40% of utilities have updated their load model parameters within the last five years. About 40% of utilities do not consider distributed generation at all when modeling demand at the bulk load supply point, and further 28% of utilities simply model distributed generation as a negative load in system studies.
电力系统的规划、运行和控制在很大程度上依赖于仿真模型。在所有组件建模中,由于系统中有大量不同的负载及其时变随机特性,负载表示仍然是最不准确的。新型的非常规电力电子负荷和间歇性分布式发电给准确的负荷建模带来了更多的复杂性和挑战。准确的动态负荷模型对电力系统的稳定至关重要。尽管在过去几十年里对负荷建模进行了大量研究,但2013年发布的一项全球调查表明,存在以下主要问题,这些问题可能会阻碍现代电网的合理设计和运行。在全球97个被调查的公用事业和系统运营商中,约有70%只使用静态负荷模型进行电力系统稳定性研究。在过去五年中,只有40%的公用事业公司更新了他们的负荷模型参数。约40%的公用事业公司在对大负荷供电点的需求建模时根本不考虑分布式发电,另有28%的公用事业公司在系统研究中将分布式发电简单地建模为负负荷。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Liang, Xiaodong其他文献
Estimating Hansen solubility parameters of organic pigments by group contribution methods
- DOI:
10.1016/j.cjche.2020.12.013 - 发表时间:
2021-03-01 - 期刊:
- 影响因子:3.8
- 作者:
Enekvist, Markus;Liang, Xiaodong;Kontogeorgis, Georgios M. - 通讯作者:
Kontogeorgis, Georgios M.
A Lung Cancer Patient Harboring a Rare Oncogenic EGFR Exon 20 V786M Mutation Responded to a Third-Generation Tyrosine Kinase Inhibitor: Case Report and Review of the Literature.
- DOI:
10.3389/fonc.2022.912426 - 发表时间:
2022 - 期刊:
- 影响因子:4.7
- 作者:
Zhu, Qi;Jiang, Mingyun;Li, Wenfei;Sun, Shuangli;Li, Jisheng;Stebbing, Justin;Liang, Xiaodong;Peng, Ling - 通讯作者:
Peng, Ling
Modeling of Asphaltene Onset Precipitation Conditions with Cubic Plus Association (CPA) and Perturbed Chain Statistical Associating Fluid Theory (PC-SAFT) Equations of State
- DOI:
10.1021/acs.energyfuels.6b00674 - 发表时间:
2016-08-01 - 期刊:
- 影响因子:5.3
- 作者:
Arya, Alay;Liang, Xiaodong;Kontogeorgis, Georgios M. - 通讯作者:
Kontogeorgis, Georgios M.
Light-powered self-excited motion of a liquid crystal elastomer rotator
- DOI:
10.1007/s11071-021-06250-4 - 发表时间:
2021-02-07 - 期刊:
- 影响因子:5.6
- 作者:
Cheng, Quanbao;Liang, Xiaodong;Li, Kai - 通讯作者:
Li, Kai
Single- and Multi-Fault Diagnosis Using Machine Learning for Variable Frequency Drive-Fed Induction Motors
- DOI:
10.1109/tia.2020.2974151 - 发表时间:
2020-05-01 - 期刊:
- 影响因子:4.4
- 作者:
Ali, Mohammad Zawad;Shabbir, Md Nasmus Sakib Khan;Liang, Xiaodong - 通讯作者:
Liang, Xiaodong
Liang, Xiaodong的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Liang, Xiaodong', 18)}}的其他基金
Technology Solutions for Energy Security in Remote, Northern, and Indigenous Communities
偏远、北方和土著社区能源安全的技术解决方案
- 批准号:
CRC-2019-00419 - 财政年份:2022
- 资助金额:
$ 2.62万 - 项目类别:
Canada Research Chairs
Advanced Dynamic Load Modeling for Modern Smart Grids
现代智能电网的高级动态负载建模
- 批准号:
RGPIN-2016-04170 - 财政年份:2021
- 资助金额:
$ 2.62万 - 项目类别:
Discovery Grants Program - Individual
Technology Solutions For Energy Security In Remote, Northern, And Indigenous Communities
偏远、北方和土著社区能源安全的技术解决方案
- 批准号:
CRC-2019-00419 - 财政年份:2021
- 资助金额:
$ 2.62万 - 项目类别:
Canada Research Chairs
Advanced Dynamic Load Modeling for Modern Smart Grids
现代智能电网的高级动态负载建模
- 批准号:
RGPIN-2016-04170 - 财政年份:2020
- 资助金额:
$ 2.62万 - 项目类别:
Discovery Grants Program - Individual
Electromagnetic Interference Evaluation and Mitigation between Railways and Nearby Power Lines
铁路与附近电力线之间的电磁干扰评估与缓解
- 批准号:
558330-2020 - 财政年份:2020
- 资助金额:
$ 2.62万 - 项目类别:
Alliance Grants
Technology Solutions for Energy Security in Remote, Northern, and Indigenous Communities
偏远、北方和土著社区能源安全的技术解决方案
- 批准号:
CRC-2019-00419 - 财政年份:2020
- 资助金额:
$ 2.62万 - 项目类别:
Canada Research Chairs
Advanced Dynamic Load Modeling for Modern Smart Grids
现代智能电网的高级动态负载建模
- 批准号:
RGPIN-2016-04170 - 财政年份:2019
- 资助金额:
$ 2.62万 - 项目类别:
Discovery Grants Program - Individual
Advanced Dynamic Load Modeling for Modern Smart Grids
现代智能电网的高级动态负载建模
- 批准号:
RGPIN-2016-04170 - 财政年份:2019
- 资助金额:
$ 2.62万 - 项目类别:
Discovery Grants Program - Individual
Autonomous operation of high efficiency ESP drive systems for improved oil recovery
高效 ESP 驱动系统的自主运行可提高石油采收率
- 批准号:
517822-2017 - 财政年份:2018
- 资助金额:
$ 2.62万 - 项目类别:
Collaborative Research and Development Grants
Advanced Dynamic Load Modeling for Modern Smart Grids
现代智能电网的高级动态负载建模
- 批准号:
RGPIN-2016-04170 - 财政年份:2018
- 资助金额:
$ 2.62万 - 项目类别:
Discovery Grants Program - Individual
相似国自然基金
Dynamic Credit Rating with Feedback Effects
- 批准号:
- 批准年份:2024
- 资助金额:万元
- 项目类别:外国学者研究基金项目
相似海外基金
Dynamic load carriage simulator and its applications
动载运输模拟器及其应用
- 批准号:
574250-2022 - 财政年份:2022
- 资助金额:
$ 2.62万 - 项目类别:
University Undergraduate Student Research Awards
Advanced Dynamic Load Modeling for Modern Smart Grids
现代智能电网的高级动态负载建模
- 批准号:
RGPIN-2016-04170 - 财政年份:2021
- 资助金额:
$ 2.62万 - 项目类别:
Discovery Grants Program - Individual
Development of environmental dynamic analysis model for advanced management of environmental load connecting forest-village-river-sea
开发森林-村庄-河海环境负荷高级管理的环境动态分析模型
- 批准号:
21K12321 - 财政年份:2021
- 资助金额:
$ 2.62万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
CRCNS Research Project: Collaborative Research: Experimental, Numerical, and Robotic Study of the Role of Dynamic Load Sensing in Legged Locomotion
CRCNS 研究项目:协作研究:动态负载传感在腿式运动中的作用的实验、数值和机器人研究
- 批准号:
2113028 - 财政年份:2021
- 资助金额:
$ 2.62万 - 项目类别:
Continuing Grant
Elucidation of pre-onset signs of low back pain by dynamic load measurement and analysis using static pessure sensing IoT insole
使用静态压力传感物联网鞋垫进行动态负载测量和分析,阐明腰痛发作前的症状
- 批准号:
21K17454 - 财政年份:2021
- 资助金额:
$ 2.62万 - 项目类别:
Grant-in-Aid for Early-Career Scientists
Development of Evaluation Method for Energy Consumption Performance of VRF Air Conditioners Considering Dynamic Response to Heat Load Fluctuation
考虑热负荷波动动态响应的多联机空调能耗性能评价方法的开发
- 批准号:
21K04387 - 财政年份:2021
- 资助金额:
$ 2.62万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
Wearable shear-wave tensiometry for tracking tendon load during dynamic movement
可穿戴剪切波张力测量仪,用于跟踪动态运动期间的肌腱负载
- 批准号:
10158240 - 财政年份:2020
- 资助金额:
$ 2.62万 - 项目类别:
Advanced Dynamic Load Modeling for Modern Smart Grids
现代智能电网的高级动态负载建模
- 批准号:
RGPIN-2016-04170 - 财政年份:2020
- 资助金额:
$ 2.62万 - 项目类别:
Discovery Grants Program - Individual
Wearable shear-wave tensiometry for tracking tendon load during dynamic movement
可穿戴剪切波张力测量仪,用于跟踪动态运动期间的肌腱负载
- 批准号:
10252945 - 财政年份:2020
- 资助金额:
$ 2.62万 - 项目类别:
Biomechanical load sharing in the foot during dynamic, load-bearing activity
动态承重活动期间足部的生物力学负荷分配
- 批准号:
RGPIN-2016-04439 - 财政年份:2020
- 资助金额:
$ 2.62万 - 项目类别:
Discovery Grants Program - Individual