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Forecasting and Modeling of Distributed Energy Resources, and Models for Distributed System Operator Planning and Operation

Forecasting and Modeling of Distributed Energy Resources, and Models for Distributed System Operator Planning and Operation
分布式能源预测和建模以及分布式系统运营商规划和运营模型
批准号:
572272-2022
负责人:
Venkatesh, BalaB
金额:
$20.18万
依托单位:
依托单位国家:
加拿大
项目类别:
Alliance Grants
财政年份:
2022
资助国家:
加拿大
项目状态:
已结题
起止时间:
2022-01-01 至 2023-12-31

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中文摘要
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英文摘要
Large scale integration of distributed energy resources (DERs), such as renewables, storage and smart loads into electric power distribution systems, is a path that leads to greening of our energy systems and a zero carbon 2050 future. This is a future that our society desires and helps to mitigate climate change. This is also a challenging task. Electric utilities require aggregate methods for forecasting of DERs, aggregate steady-state and aggregate transient DER models - at feeder and substation levels - to best manage their electric power networks. Further, with the potential of peer-to-peer energy transactions between DERs and other customers, better economic techno-models are a pressing need such that DERs derive best value and utility customers gain the best advantage. Accordingly, proposed work is driven by this urgent need to green our energy supply through increasing the uptake of DERs. DERs are small in size and numerous. Their intermittent and uncertain nature poses a challenge for utilities to monitor, forecast, model, analyse and operate their networks. The overarching goal is to develop tools and frameworks that support the sustainable and seamless integration of diverse forms of energy from DERs into the HONI grid in ways that maximize opportunity, access to the grid, and choice for all stakeholders (including DER owners and electricity customers), which will also enable deep electrification. To achieve this outcome, we are proposing four work packages (WPs) to develop AI-based, high-resolution, aggregate, DER forecasting tools, steady-state DER models, transient DER models, and distribution system operator (DSO) and distribution network operator (DNO) models for operation and planning, comprising algorithms and software implementation. Canada needs to increase its clean energy supply two or three folds from its current situation. The project's outcomes will contribute to the Canadian economy though enhanced supply reliability, resilience to face extreme weather, and economic accessibility, facilitating greater DER uptake as the pathway to deep clean electrification.
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会议论文
Energy Storage solutions for Zero Carbon 2050 electric distribution systems
  • 批准号:
    571710-2021
  • 项目类别:
    Alliance Grants
  • 资助金额:
    $14.57万
  • 财政年份:
    2022
  • 负责人:
    Venkatesh, BalaB
  • 依托单位:
国内基金
海外基金
Galaxy Analytical Modeling Evolution (GAME) and cosmological hydrodynamic simulations.
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    10.0万元
  • 批准年份:
    2025
  • 负责人:
    Antonios Katsianis
  • 依托单位: