SBIR Phase II: Cloud-Based Electric Power Grid Simulation Software With Equivalent Circuit Methods

SBIR 第二阶段：采用等效电路方法的基于云的电网仿真软件

• 批准号: 1951083
• 负责人: David Bromberg
• 金额: $ 74.99万
• 依托单位: PEARL STREET TECHNOLOGIES, INC.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-04-01 至 2025-10-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1951083&HistoricalAwards=false
• 关键词: SBIR; Phase; II; Cloud; Based

The broader impact of this Small Business Innovation Research (SBIR) Phase II project will result from the ability to enable a safer, more reliable, and more resilient electric power system. A reliable and efficient grid is the cornerstone of the nation’s economy. With the rapid adoption of distributed energy resources (DERs), a transition from conventional generation plants to utility-scale wind and solar farms, and the threat of cyber- and/or physical attacks on the bulk electric system, ensuring the reliability and resilience of the grid has become ever more challenging. The software being developed in this project will help grid planning engineers and operators cope with these modern challenges. For the first time, engineers from organizations across the utility industry will be able to collaboratively plan the grid on a secure, scalable, cloud-based software platform that provides the capabilities needed to fully assess the impact of renewables and DERs. The software’s industry-leading simulation robustness will allow users to analyze extreme contingencies, cascading events, and weak grid scenarios to develop preventive and corrective actions that secure the grid. The software is designed to support an annual $50B+ in US power infrastructure investment and an annual $400B+ in power market transactions.This Small Business Innovation Research Phase II project will develop software for electric power transmission and distribution (T&D) planning. Technical tasks are to: 1) Make cloud architecture responsive to demand with autoscaling and queueing services; 2) Architect results generation for minimized data storage requirements; 3) Manage data handling for reduced re-loading of datasets; 4) Implement a file parser for industry-standard three-phase unbalanced distribution system models; 5) Implement models of common distribution system components; and 6) Extend the cloud platform to support integrated T&D analysis. Integration of these optimized components will lead to an improved system engineered for usage at scale.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

这项小企业创新研究（SBIR）第二阶段项目将产生更广泛的影响，使电力系统更安全、更可靠、更有弹性。一个可靠、高效的电网是国家经济的基石。随着分布式能源（DERs）的迅速采用，从传统发电厂向公用事业规模的风能和太阳能发电场的过渡，以及对大型电力系统的网络和/或物理攻击的威胁，确保电网的可靠性和弹性变得越来越具有挑战性。该项目开发的软件将帮助电网规划工程师和运营商应对这些现代挑战。来自公用事业行业各组织的工程师将首次能够在一个安全、可扩展、基于云的软件平台上协同规划电网，该平台提供了全面评估可再生能源和DERs影响所需的功能。该软件业界领先的模拟鲁棒性将允许用户分析极端突发事件、级联事件和薄弱电网场景，以制定预防和纠正措施，确保电网的安全。该软件旨在支持每年500亿美元以上的美国电力基础设施投资和每年4000亿美元以上的电力市场交易。这个小型企业创新研究二期项目将开发用于电力输配电规划的软件。技术任务是：1)通过自动伸缩和排队服务使云架构响应需求；2)最小化数据存储需求的架构师结果生成；3)管理数据处理，减少数据集的重新加载；4)实现行业标准三相不平衡配电系统模型的文件解析器；5)配电系统常用部件的实现模型；6)扩展云平台，支持集成研发分析。这些优化组件的集成将导致改进的系统设计用于大规模使用。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。