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: Iowa State University
• 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
• 起止时间: 2008-08-15 至 2012-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0829025&HistoricalAwards=false
• 关键词: Innovative; Optimal; Integration; Wind; Solar

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.

目的：该项目的基本目标是开发一种程序工具，该工具将促进基于化石燃料的生成增强实用程序量表太阳能混合植物。这项工作的范围涉及开发最佳计划和操作程序，以计划从风，太阳能和存储的热能设施中生成。将分析历史太阳能辐照度和风能密度信息，以提供合适的杂种位置。 将针对电力系统仿真研究开发用于风，太阳能和存储技术的模型。 计量数据将用于确定热，风和存储单元的最佳要求。 电力系统稳定性应通过系统故障研究和应急分析进行迭代评估。最后，使用预测技术将制定策略以最佳的生成和存储时间安排。智能优点：拟议工作的完成将导致一种方法来计算合适的混合植物位置以及优化的植物尺寸和能量存储控制策略。 控制策略的目的将允许能够满足可变负载需求的可靠电源注入和存储。该项目将导致： - 识别美国境内的网格连接位置用于放置太阳能杂种植物。-开发最佳的植物大小和储能方法，用于可靠的混合植物网格互连。 - 一种最大化混合工厂可靠性以满足可变载荷和可再生输入功率模式的最佳控制策略。BOADER的影响：所提出的技术足够通用，因此可以将其扩展到任何新兴的混合能源生产和存储技术。 与其他常规可再生能源相比，这将更高的效率与更高的可靠性结合在一起。从经济角度来看，混合设施不仅会降低发电成本，而且可以根据需求进行计划，从而降低客户成本，从而最大程度地提高社会福利。这种能源生产策略将通过与独立可再生能源相比，通过竞争优势来刺激对可再生能源的投资。此外，将根据项目工作在爱荷华州立大学推出跨学科的可再生能源课程。