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

这个小企业创新研究（SBIR）第二阶段项目的更广泛影响将来自于实现更安全，更可靠和更有弹性的电力系统的能力。可靠和高效的电网是国家经济的基石。随着分布式能源（DER）的快速采用，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。该项目正在开发的软件将帮助电网规划工程师和运营商科普这些现代挑战。这是第一次，来自公用事业行业组织的工程师将能够在一个安全、可扩展、基于云的软件平台上协作规划电网，该平台提供全面评估可再生能源和DER影响所需的功能。该软件具有业界领先的仿真鲁棒性，允许用户分析极端突发事件、级联事件和弱电网场景，以制定保护电网的预防和纠正措施。该软件旨在支持美国每年500亿美元以上的电力基础设施投资和每年4000亿美元以上的电力市场交易。该小企业创新研究第二期项目将开发用于电力输配电（T D）规划的软件。 技术任务是：1）使云架构响应于自动缩放和扩展服务的需求; 2）架构结果生成以最小化数据存储需求; 3）管理数据处理以减少数据集的重新加载; 4）为行业标准三相不平衡配电系统模型实现文件解析器; 5）实现常见配电系统组件的模型; 6）扩展云平台，支持集成的&TD分析。 这些优化组件的集成将导致一个改进的系统设计的规模使用。这个奖项反映了NSF的法定使命，并已被认为是值得通过评估使用基金会的智力价值和更广泛的影响审查标准的支持。

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.