US-Egypt Cooperative Research: Managing Grid Integration of Large-Scale Wind Power Parks using Energy Storage Technology and Demand Response

1104023 该项目支持弗吉尼亚理工学院和州立大学（VA Tech）的Saifur Rahman博士和埃及开罗开罗大学的Mohamed El-Sobki博士的合作研究项目。 他们计划研究大型风电场的并网管理。 随着大型风电场在世界各地迅速扩张，电力系统运营商面临着新的挑战。虽然希望使用零排放风能，但由于其发电的不稳定性和波动性，管理大型风电场集成是困难的。因此，美国、埃及和其他风力发电国家的利益是寻求在不影响电网稳定性和可靠性的情况下整合大型风电场的解决方案。这项研究涉及使用储能技术和需求响应技术来管理大型风电场的电网集成。 具体而言，它旨在开发新的规模，调度和控制方法，以实现基于压缩空气储能（CAES）技术的应用，用于部分平滑多个风电场输出的高速波动。 此外，它开发了一种新的运行方案相结合的需求响应技术的负荷调节能力与能量存储，以提高风电利用率，从而减少弃风。该应用程序还设计了额外的功能，为稳定电网和应对电网紧急情况提供真实的和无功功率支持。智力优势：PI将为压缩空气储能技术（CAES）开发新的规模，调度和控制方法，并将其应用于公用事业规模的风电并网应用。它还将开发一种新的运行方案，将需求响应技术的负荷调节能力与CAES相结合。该研究成果将提供一套分析工具，用于管理大型风电场与电力系统的整合，同时确保电网的安全运行。更广泛的影响：研究成果将填补大规模管理风电的高效解决方案的需求。基于CAES技术和需求响应的最终应用将改善风能的集成和节约，这将使电力公司和风能开发商受益。 增加风能整合有助于公用事业公司满足其可再生能源的要求，并增加风能投资者的收入。这一国际合作项目为美国研究人员和学生创造了一个与埃及研究人员共同研究技术问题的宝贵机会，以实现互利共赢。总的来说，联合研究为确保电网安全运行提供了创新工具，增加了风能的使用，从而减少了碳排放，并有助于保护环境。这些因素促进了埃及和美国的可持续经济发展。 美国团队包括弗吉尼亚理工大学的两名女科学家，博士后研究员Ha Thu Le博士和初级科学家Manisa Pipattanasomporn博士。

1104023 This project supports a cooperative research project by Dr. Saifur Rahman at Virginia Polytechnic Institute and State University (VA Tech) and Dr. Mohamed El-Sobki, Cairo University, Cairo, Egypt. They plan to study the management of grid integration of large scale wind power parks. As large wind power parks, or wind farms, rapidly expand around the world, electric power systems operators face new challenges. While it is desirable to use the zero-emission wind energy, managing large wind parks integration is difficult due to the intermittency and fluctuation of their power production. Therefore, it is of the interest of the United States, Egypt, and other countries with wind generation to seek solutions for integration of large wind farms without compromising their power grid stability and reliability. This research involves using an energy storage technology and demand response techniques for managing the grid integration of large wind parks. Specifically, it aims to develop novel sizing, scheduling and control methods to enable an application based on compressed-air energy storage (CAES) technology for partial smoothing of the high-rate fluctuations of multiple wind parks output. Furthermore, it develops a new operation scheme for combining the load regulation capability of demand response techniques with the energy storage to increase wind power utilization and thereby reduce wind curtailment. The application is also designed with added functions to provide real and reactive power support for stabilizing the power grid and coping with grid emergency situations.Intellectual Merit:The PIs will develop novel sizing, scheduling and control methods for compressed-air energy storage technology (CAES), which are applied to wind power integration applications at utility scale. It will also develop a new operation scheme for combining the load regulation capability of demand response techniques with CAES. The research outcome will contribute a set of analytical tools, which are needed for managing the integration of large-scale wind power parks into power systems while ensuring the safe operation of the power grids.Broader Impacts: The research outcome will fill in the need for high-efficiency solutions to manage wind power on a large scale. The resulted application based on CAES technology and demand response will improve the integration and conservation of wind energy, which benefit both electric utilities and wind developers. Increased wind energy integration helps utilities meet their renewable mandates and enhances revenues for wind investors. This international collaborative project creates a valuable opportunity for U.S.researchers and students to work with Egyptian researchers on the technical problems for mutual benefit.Overall, the joint research contributes innovative tools to ensure safe operation of power grids, increase wind energy usage thereby reducing carbon emissions and helping protect the environment. These factors foster the sustainable economic development of Egypt and the United States. The US team includes two women scientists at Virginia Tech, Dr. Ha Thu Le, a postdoctoral researcher and Dr. Manisa Pipattanasomporn, a junior scientist.