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

目标：本项目的基本目标是开发一种程序工具，以促进化石燃料发电的增加，并将公用事业规模的太阳能-风能混合动力发电厂整合起来。这项工作的范围涉及开发最佳规划和操作程序，用于安排风能，太阳能和储能设施的发电。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仿真研究的风能、太阳能和储能技术模型。 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反复评估。最后，使用预测技术的战略将制定最佳的发电和storage.INTELLECTUAL优点：完成拟议的工作将导致在计算合适的混合动力发电厂的位置和优化的工厂规模和能量存储控制策略的方法。 控制策略的目标将允许可靠的功率注入和存储，其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位置，以放置太阳能-风能混合动力发电厂。发展最佳的发电厂规模和储能方法，以实现混合发电厂可靠的电网互联。- 一个最佳的控制策略，以最大限度地提高混合动力发电厂的可靠性，以满足可变负载和可再生输入功率patterns.BroADER影响：所提出的技术是足够通用的，使它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，这将更高的效率与更高的可靠性相结合。从经济的角度来看，混合设施不仅可以降低发电成本，而且可以根据需求进行调整，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有助于通过相对于独立可再生能源的竞争优势刺激对可再生能源的投资。此外，爱荷华州州立大学将根据项目工作推出跨学科的可再生能源课程。

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.