Stochastic Energy Management in Smart Grid with Cyber-Physical Resilience Enhancement

智能电网中的随机能源管理与网络物理弹性增强

基本信息

  • 批准号:
    RGPIN-2021-03844
  • 负责人:
  • 金额:
    $ 2.04万
  • 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:
    2022
  • 资助国家:
    加拿大
  • 起止时间:
    2022-01-01 至 2023-12-31
  • 项目状态:
    已结题

项目摘要

As the traditional electrical grid evolves towards future smart grid, distributed energy resources including distributed generation (DG) units such as photovoltaic (PV) panels and wind turbines, and distributed storage (DS) units such as batteries, flywheels, and electric vehicles (EVs) or electric buses (EBs) with vehicle-to-grid (V2G) capabilities, have attracted a great amount of attention from researchers in both academia and industry. Due to the flexible control and fast response of these devices, they can support a wide range of applications for both demand-side and grid-scale services. In addition to the constant progress in DG, DS, EV/EB technologies and power electronics, the development of reliable and intelligent energy management schemes has been in an urgent need in recent years. One of the greatest challenges in energy management is the randomness caused by the power generation and/or demand of distributed energy resources. Also, along with the integration of DS units including EVs/EBs at high penetration level, the charging and discharging behaviour can introduce great uncertainties into the smart grid, which can affect the reliability and stability of system operation. In addition, natural disasters such as ice storms, hurricanes, and earthquakes can cause damages to a large number of components in power distribution systems, while the data transmissions in smart grid may be prone to severe cyber attacks. Therefore, developing innovative stochastic energy management schemes with cyber-physical resilience is technically challenging but of paramount importance for the future smart grid. The long-term goal of the proposed research is to establish an architecture of intelligent energy system and build up an advanced information and communication system as a "glue" to interconnect all the energy systems (including not only electrical grid, but also other types of energy systems such as oil and natural gas systems), such that the energy can flow in industrial, commercial, residential, and transportation sectors in an efficient, reliable, secure, and sustainable way. The short-term objectives are to address the above-mentioned technical challenges and develop stochastic energy management schemes for smart grid with cyber-physical resilience in four thrusts including data-driven stochastic modeling for distributed energy resources and cyber-physical threats, stochastic energy management of sustainable buildings with distributed energy resources, stochastic energy management in smart distribution systems, and cyber-physical resilience enhancement of stochastic energy management in smart grid. The interdisciplinary nature of the proposed research will identify new opportunities for overall system optimization that are otherwise impossible in isolated approaches. The proposed research will generate new knowledge and train HQP for both power/energy and information/communication industries.
随着传统电网向未来智能电网发展,分布式能源资源包括分布式发电(DG)单元(诸如光伏(PV)面板和风力涡轮机)和分布式存储(DS)单元(诸如电池、飞轮和具有车辆到电网(V2 G)能力的电动车辆(EV)或电动公交车(EB)),引起了学术界和工业界研究人员的极大关注。由于这些设备的灵活控制和快速响应,它们可以支持需求侧和电网规模服务的广泛应用。除了DG、DS、EV/EB技术和电力电子技术的不断进步外,近年来迫切需要开发可靠和智能的能量管理方案。能源管理中的最大挑战之一是由分布式能源的发电和/或需求引起的随机性。此外,沿着DS单元(包括高渗透水平的EV/EB)的集成,充电和放电行为可能会给智能电网带来很大的不确定性,这可能会影响系统运行的可靠性和稳定性。此外,冰风暴、飓风和地震等自然灾害会对配电系统中的大量组件造成损坏,而智能电网中的数据传输可能容易受到严重的网络攻击。因此,开发具有网络物理弹性的创新随机能源管理方案在技术上具有挑战性,但对未来智能电网至关重要。研究的长远目标是建立智能能源系统的体系结构,并建立先进的信息和通信系统,作为连接所有能源系统的“粘合剂(不仅包括电网,还包括其他类型的能量系统,例如石油和天然气系统),使得能量可以在工业,商业,住宅,以高效、可靠、安全和可持续的方式,短期目标是解决上述技术挑战,并在四个方面为智能电网开发具有网络物理弹性的随机能源管理方案,包括分布式能源和网络物理威胁的数据驱动随机建模,分布式能源可持续建筑的随机能源管理,智能配电系统的随机能源管理,以及智能电网中随机能量管理的网络物理弹性增强。拟议研究的跨学科性质将确定整体系统优化的新机会,否则在孤立的方法是不可能的。拟议的研究将产生新的知识,并为电力/能源和信息/通信行业培训HQP。

项目成果

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专利数量(0)

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Liang, Hao其他文献

CD4/CD8 Ratio Recovered as a Predictor of Decreased Liver Damage in Adults Infected With HIV: 16-Year Observational Cohort Study.
CD4/CD8比率作为感染HIV感染的成年人的肝脏损害减少的预测因子:16年观察队列研究。
  • DOI:
    10.2196/45818
  • 发表时间:
    2024-01-09
  • 期刊:
  • 影响因子:
    8.5
  • 作者:
    Liang, Bingyu;Sun, Rujing;Liao, Yanyan;Nong, Aidan;He, Jinfeng;Qin, Fengxiang;Ou, Yanyun;Che, Jianhua;Wu, Zhenxian;Yang, Yuan;Qin, Jiao;Cai, Jie;Bao, Lijuan;Ye, Li;Liang, Hao
  • 通讯作者:
    Liang, Hao
Study on Surface Integrity and Fatigue Properties of TC4 Titanium Alloy by Surface Ultrasonic Rolling.
  • DOI:
    10.3390/ma16020485
  • 发表时间:
    2023-01-04
  • 期刊:
  • 影响因子:
    3.4
  • 作者:
    Zhu, Xiaotong;Liu, Pengtao;Zhang, Chi;Liang, Hao;Hua, Jun
  • 通讯作者:
    Hua, Jun
A Novel Ferroptosis-Related Gene Signature for Prognosis Prediction in Ewing Sarcoma.
  • DOI:
    10.1155/2022/6711629
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    3.2
  • 作者:
    Zhao, Runhan;Li, Zefang;Huang, Yanran;Xiong, Chuang;Zhang, Chao;Liang, Hao;Xu, Jingtao;Luo, Xiaoji
  • 通讯作者:
    Luo, Xiaoji
Sustained abnormality with recovery of COVID-19 convalescents: a 2-year follow-up study.
  • DOI:
    10.1016/j.scib.2022.06.025
  • 发表时间:
    2022-08-15
  • 期刊:
  • 影响因子:
    18.9
  • 作者:
    Lin, Hao;Liu, Xueyuan;Sun, Heqiang;Zhang, Jie;Dong, Shaobo;Liu, Maoshun;Li, Lei;Tian, Jinmin;Guo, Yaxin;Gan, Jinxian;Chen, Zhangfu;Wang, Xin;Lin, Ying;Zhang, Danni;Liu, Yaning;Zhang, Xiaoshan;Liu, Peipei;Xu, Ke;Zhou, Xiangtian;Liang, Hao;Gao, George F.;Liu, William J.;Wu, Guizhen
  • 通讯作者:
    Wu, Guizhen
Electrochemical gold-catalysed biocompatible C(sp2)-C(sp) coupling
  • DOI:
    10.1038/s44160-022-00219-w
  • 发表时间:
    2023-04-01
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Liang, Hao;Julaiti, Yilitabaier;Xie, Jin
  • 通讯作者:
    Xie, Jin

Liang, Hao的其他文献

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{{ truncateString('Liang, Hao', 18)}}的其他基金

Intelligent Energy Systems
智能能源系统
  • 批准号:
    CRC-2017-00118
  • 财政年份:
    2022
  • 资助金额:
    $ 2.04万
  • 项目类别:
    Canada Research Chairs
Intelligent Energy Systems
智能能源系统
  • 批准号:
    CRC-2021-00446
  • 财政年份:
    2022
  • 资助金额:
    $ 2.04万
  • 项目类别:
    Canada Research Chairs
Intelligent Energy Systems
智能能源系统
  • 批准号:
    CRC-2017-00118
  • 财政年份:
    2021
  • 资助金额:
    $ 2.04万
  • 项目类别:
    Canada Research Chairs
Stochastic Energy Management in Smart Grid with Cyber-Physical Resilience Enhancement
智能电网中的随机能源管理与网络物理弹性增强
  • 批准号:
    RGPIN-2021-03844
  • 财政年份:
    2021
  • 资助金额:
    $ 2.04万
  • 项目类别:
    Discovery Grants Program - Individual
Optimal Energy Management of Sustainable Greenhouses in Smart Grid
智能电网中可持续温室的优化能源管理
  • 批准号:
    543842-2019
  • 财政年份:
    2020
  • 资助金额:
    $ 2.04万
  • 项目类别:
    Collaborative Research and Development Grants
Novel Demand Forecasting and Reliability Enhancement Approaches for Electrical Grids in Response to COVID-19 Pandemic
应对 COVID-19 大流行的电网需求预测和可靠性增强新方法
  • 批准号:
    554654-2020
  • 财政年份:
    2020
  • 资助金额:
    $ 2.04万
  • 项目类别:
    Alliance Grants
Intelligent Energy Systems
智能能源系统
  • 批准号:
    1000231643-2017
  • 财政年份:
    2020
  • 资助金额:
    $ 2.04万
  • 项目类别:
    Canada Research Chairs
Decentralized Operation, Control, and Communications in Smart Grid
智能电网中的分散式操作、控制和通信
  • 批准号:
    RGPIN-2015-06033
  • 财政年份:
    2019
  • 资助金额:
    $ 2.04万
  • 项目类别:
    Discovery Grants Program - Individual
Intelligent Energy Systems
智能能源系统
  • 批准号:
    1000231643-2017
  • 财政年份:
    2019
  • 资助金额:
    $ 2.04万
  • 项目类别:
    Canada Research Chairs
Optimal Energy Management of Sustainable Greenhouses in Smart Grid
智能电网中可持续温室的优化能源管理
  • 批准号:
    543842-2019
  • 财政年份:
    2019
  • 资助金额:
    $ 2.04万
  • 项目类别:
    Collaborative Research and Development Grants

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