CRISP Type 2: Interdependent Electric and Cloud Servies for Sustainable, Reliable, and Open Smart Grids

CRISP 类型 2：相互依赖的电力和云服务，实现可持续、可靠和开放的智能电网

• 批准号: 1541106
• 负责人: Manuel Rodriguez
• 金额: $ 150万
• 依托单位: University of Puerto Rico Mayaguez
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-15 至 2019-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1541106&HistoricalAwards=false
• 关键词: CRISP; Type; Interdependent; Electric; Cloud

Electric energy networks are the cornerstone of the civil infrastructure of our society. These networks provide the energy essential to carrying out daily operations in education, health care, commerce, entertainment, defense, and government. However, electric energy markets, due to their vertical integration, often exclude customers from the processes associated with energy production, pricing, transmission and distribution. Smart grids and distributed generation schemes have been proposed as mechanisms to modernize energy grids and balance the current power structures in electric markets. In a smart grid, computers and communications networks are attached to the power generation, transmission, distribution and load elements, establishing a mechanism to gather information, control generation, control demand, diagnose problems, bid for prices in energy markets, and forecast energy consumption. However, a smart grid creates interdependencies between the energy network and the computer network since the energy network powers the computers that in turn control the operation of the energy grid. In this project, a team from the University of Puerto Rico, Mayaguez (UPRM) will study smart grids and the interdependency between the energy grid and the IT infrastructure that is setup to manage it. This project champions a transformation of the electric grid, moving it away from being centered on centralized utilities that supply most, if not all, power services. Instead, the grid becomes a marketplace of third-party power-service suppliers, who compete to sell their electric services over the Internet. These services include energy block purchases, storage, billing, weather forecasting, energy demand forecasting, and other ancillary services. This brings in an important societal element - it empowers common citizens, whose homes are now renewable energy generation systems, to become suppliers and key actors in the energy market. This project is thus aimed at designing and developing the basic science and technology for an Open Access Smart Grid in order to create truly sustainable energy markets.In this project, the smart grid is modelled as a collection of interdependent electric and cloud services, whose collaborative interactions help manage the smart grid. All the electric services (e.g., energy, storage, billing) are exposed to users as REST-based cloud services, enabling the development of algorithms and applications for customers, power producers, and other users to consume or subscribe to these electric services, collect operational data and customer feedback, and support analytics to predict electric energy demands. Microgrids and renewable energy systems will be important components in this framework, as they enable modularization of the grid into autonomous or semi-autonomous subsystems. The research team will develop methods to map reliable power microgrids into electric services that can be rapidly brought online to compensate for lost generation capacity or to obtain more affordable energy. A major challenge with microgrid systems is activating them without introduction major power disturbances in the system. Another challenge is forecasting the availability of renewable energy, which will be addressed this by developing rain-cell tracking frameworks for solar and wind output estimation services, and the determination of local sensors requirements to improve short-term forecasts services. Finally, the team will apply the social acceptance model to the development, implementation, management and assessment of the Open Access Smart Grid with the purpose of identifying the institutional change necessary for the integration of all stakeholders and the effective democratization of electric services.

电力能源网络是我们社会民用基础设施的基石。这些网络为教育、医疗保健、商业、娱乐、国防和政府的日常运作提供必要的能源。然而，由于其垂直一体化，电力市场往往将客户排除在与能源生产、定价、传输和分配相关的过程之外。智能电网和分布式发电计划已被提议作为能源网络现代化和平衡电力市场中当前电力结构的机制。在智能电网中，计算机和通信网络连接到发电、输电、配电和负荷元件，建立一种机制来收集信息、控制发电、控制需求、诊断问题、在能源市场上竞价以及预测能源消耗。然而，智能电网在能量网络和计算机网络之间产生相互依赖性，因为能量网络为计算机供电，计算机进而控制能量电网的操作。在这个项目中，来自波多黎各大学（UPRM）的一个团队将研究智能电网以及能源电网和管理它的IT基础设施之间的相互依赖性。这个项目支持电网的转型，使其不再以集中的公用事业为中心，提供大部分（如果不是全部）电力服务。相反，电网成为第三方电力服务供应商的市场，他们通过互联网竞争销售他们的电力服务。 这些服务包括能源块购买、存储、计费、天气预报、能源需求预测和其他辅助服务。 这带来了一个重要的社会因素-它使普通公民，其家庭现在是可再生能源发电系统，成为能源市场的供应商和关键参与者。因此，本项目旨在设计和开发开放接入智能电网的基础科学和技术，以创造真正可持续的能源市场。在本项目中，智能电网被建模为相互依赖的电力和云服务的集合，其协作交互有助于管理智能电网。 所有电力服务（例如，电力服务（包括电力、能源、存储、计费）作为基于REST的云服务暴露给用户，从而能够为客户、电力生产商和其他用户开发算法和应用程序，以消费或订阅这些电力服务，收集运营数据和客户反馈，并支持分析以预测电能需求。微电网和可再生能源系统将是这一框架的重要组成部分，因为它们能够将电网模块化为自主或半自主的子系统。该研究小组将开发方法，将可靠的电力微电网映射到电力服务中，这些服务可以快速上线，以补偿失去的发电能力或获得更实惠的能源。微电网系统的一个主要挑战是在系统中不引入重大功率干扰的情况下激活它们。另一个挑战是预测可再生能源的供应情况，这将通过为太阳能和风能输出估计服务制定雨电池跟踪框架以及确定当地传感器需求来解决，以改善短期预报服务。最后，该团队将社会接受模型应用于开放接入智能电网的开发，实施，管理和评估，以确定所有利益相关者的整合和电力服务的有效民主化所需的制度变革。

项目成果

A Clustering Method for Rain-Cell Detection in Weather Nowcasting Approaches

临近天气预报中雨团检测的聚类方法

• DOI: 10.1109/igarss.2019.8898920
• 发表时间: 2019
• 期刊: IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium
• 作者: Minotta-Zapata, Felipe;Rodriguez-Solis, Rafael A.
• 通讯作者: Rodriguez-Solis, Rafael A.