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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
翻译
目标:该项目的基本目标是开发一种程序工具,通过整合公用事业规模的太阳能-风能混合发电厂来促进基于化石燃料的发电的增加。这项工作的范围涉及制定最优计划和运行程序,以调度风能、太阳能和储存的热能设施的发电。将分析历史太阳辐照度和风能密度信息,以提供合适的混合位置。将开发用于电力系统模拟研究的风能、太阳能和存储技术的模型。计量数据将被用来确定热、风和存储单元的最佳要求。电力系统稳定性评估应通过系统故障研究和事故分析迭代进行。最后,将利用预测技术制定发电和储能优化调度的策略。信息优点:拟议工作的完成将产生一种计算合适的混合工厂位置的方法,以及优化的工厂规模和储能控制策略。控制策略的目标将允许可靠的电力注入和储存,能够满足可变负载的需求。该项目将导致:-确定美国境内可连接电网的地点,以放置太阳能-风能混合发电厂。-为混合发电厂可靠的电网互联开发最佳工厂规模和储能方法。-最优控制策略,以最大限度地提高混合动力装置的可靠性,以满足可变负载和可再生输入功率模式。BROADER影响:建议的技术具有足够的通用性,可以扩展到任何新兴的混合能源生产和存储技术。与其他传统的可再生能源发电相比,这结合了更高的效率和更高的可靠性。从经济的角度来看,混合动力发电设施不仅可以降低发电成本,而且还可以按需调度,从而降低客户成本,从而最大限度地提高社会福利。这一能源生产战略将通过相对于独立可再生能源的竞争优势,帮助刺激对可再生能源的投资。此外,爱荷华州立大学将根据项目工作开设跨学科的可再生能源课程。
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