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An Innovative Optimal Integration of Wind and Solar Resources for Reliable and Sustainable Power Generation

An Innovative Optimal Integration of Wind and Solar Resources for Reliable and Sustainable Power Generation
风能和太阳能资源的创新优化整合,实现可靠和可持续发电
批准号:
0829025
负责人:
Venkataramana Ajjarapu
金额:
$29.32万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-08-15 至 2012-07-31

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中文摘要
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英文摘要
OBJECTIVE:The fundamental goal of this project is to develop a procedural tool that will facilitate the augmentation of fossil fuel based generation with the integration of utility scale solar-wind hybrid plants. The scope of this work addresses the development of optimal planning and operation procedures for scheduling generation from wind, solar, and stored thermal energy facilities. Historical solar irradiance and wind energy density information will be analyzed to provide suitable hybrid locations. Models will be developed for wind, solar, and storage technologies for power system simulation studies. Metrological data will be used to determine the optimal requirements of thermal, wind, and storage units. Power system stability shall be evaluated iteratively through system fault studies and contingency analysis. Finally, using forecasting techniques a strategy will be developed for optimal scheduling of generation and storage.INTELLECTUAL MERIT:The completion of the proposed work will result in a methodology for calculating suitable hybrid plant locations and an optimized plant sizing and energy storage control strategy. The objective of the control strategy will allow for reliable power injection and storage that is capable of meeting the demand of a variable load. The project will lead to: - The identification of grid connectable locations within the United States for the placement of solar-wind hybrid plants.- The development of optimal plant size and energy storage methodology for reliable grid interconnection of hybrid plants. - An optimal control strategy to maximize the reliability of the hybrid plant to meet variable load and renewable input power patterns.BROADER IMPACTS:The proposed technique is sufficiently versatile such that it can be extended to any emerging hybrid energy production and storage technologies. This combines higher efficiency with greater reliability as compared to other conventional renewable generation. From an economic standpoint hybrid facilities will not only reduce generation costs, but will prove to be schedulable on demand which decrease customer costs thereby maximizing social welfare. This energy production strategy will help stimulate investment in renewable energy through competitive advantages over stand alone renewables. Additionally, an interdisciplinary renewable energy course will be introduced at Iowa State University based on the project work.
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CPS: Medium: Data-driven Causality Mapping, System Identification and Dynamics Characterization for Future Power Grid
  • 批准号:
    1932458
  • 项目类别:
    Standard Grant
  • 资助金额:
    $100.0万
  • 财政年份:
    2019
  • 负责人:
    Venkataramana Ajjarapu
  • 依托单位:
Enabling a Flexible, Non-disruptive Demand Control to Improve Grid Security & Performance
  • 批准号:
    1810079
  • 项目类别:
    Standard Grant
  • 资助金额:
    $35.95万
  • 财政年份:
    2018
  • 负责人:
    Venkataramana Ajjarapu
  • 依托单位:
Collaborative Research: PSERC Collaborative Proposal for a Phase III Industry University Cooperative Research Center Program
  • 批准号:
    0968841
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $7.5万
  • 财政年份:
    2010
  • 负责人:
    Venkataramana Ajjarapu
  • 依托单位:
A Novel Optimization Based Control Determination against Voltage Collapse with respect to System wide Disturbances as well as Undesirable Component Protection
  • 批准号:
    0500884
  • 项目类别:
    Standard Grant
  • 资助金额:
    $15.45万
  • 财政年份:
    2005
  • 负责人:
    Venkataramana Ajjarapu
  • 依托单位:
海外基金