SBIR Phase II: A Robust State Estimator For Power Grids

SBIR 第二阶段：稳健的电网状态估计器

• 批准号: 1660022
• 负责人: Bei Gou
• 金额: $ 73.41万
• 依托单位: Smart Electric Grid, LLC
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-03-15 至 2021-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1660022&HistoricalAwards=false
• 关键词: SBIR; Phase; II; Robust; State

The broader impact/commercial potential of this project include 1) the targeted problem (power system state estimator) is extremely critical in modern power grids or smart grids which may help prevent system-wide failures or blackouts if properly handled, 2) the certainty of commercialization of the proposed approach warranting significant NSF support because the provided solution is fast enough for real-time application and the new state estimator does not ask for additional inputs or requirements compared with existing solutions, 3) the research team is formed by technical as well as marketing personnel which ensures the success of the sales of the products, 4) the uniqueness of the proposed approach which provides competitive benefits to the market that cannot be met by alternate technologies and can attract further funding from non-SBIR sources and result in direct sales to power industry, 5) the proposed approach develops a unique formulation/solution of state estimation which very possibly leads to further innovations, 6) the new procedure of the proposed approach based on unique formulation and unique philosophy can promote teaching, training and learning in the area of state estimation.This Small Business Innovation Research (SBIR) Phase 2 project contains intellectual merit that lies in 1) achieving a fast and robust solution to a 40-years' open problem of robustness in power system state estimation, which is a critical and challenging problem, 2) developing a unique formulation of state estimation which easily prevents robust problems suffered by the existing approaches to state estimation and which provides advanced knowledge and understanding in the area of state estimation, 3) a well-qualified team led by the PI who has research experience in state estimation for more than 15 years and has published actively and widely in state estimation and other related areas, 4) the high originality of the proposed solution which is developed based on a completely different philosophy than the existing ones, and is innovative even in the theory of statistics, 5) reflecting state-of-the-art in the area of power system state estimation ? presently a major research activity, and 6) easy integration of synchronized phasor measurements into the proposed state estimator.

该项目更广泛的影响/商业潜力包括：1）目标问题（电力系统状态估计器）在现代电网或智能电网中是极其关键的，如果处理得当，其可以帮助防止系统范围的故障或停电，2）所提出的方法的商业化的确定性获得了重要的NSF支持，因为所提供的解决方案对于真实的来说足够快-时间应用，并且与现有解决方案相比，新的状态估计器不要求额外的输入或要求，3）研究团队由技术人员和营销人员组成，这确保了产品销售的成功，4）所提出的方法的独特性，该方法为市场提供了替代技术无法满足的竞争优势，并且可以从非SBIR来源吸引更多资金，并导致直接向电力行业销售，5）所提出的方法开发了一种独特的状态估计公式/解决方案，这很可能导致进一步的创新，6）所提出的方法基于独特的公式和独特的哲学的新过程可以促进教学，在状态估计领域的培训和学习。这个小企业创新研究（SBIR）第2阶段项目包含的智力价值在于1）实现了对电力系统状态估计鲁棒性问题的快速和鲁棒解决，这是一个关键和具有挑战性的问题，（二）开发一种独特的状态估计公式，该公式容易防止现有状态估计方法所遇到的鲁棒性问题，并提供状态估计领域的先进知识和理解。3）由PI领导的高素质团队，PI在状态估计方面拥有超过15年的研究经验，并在状态估计和其他相关领域积极而广泛地发表文章，4）所提出的解决方案的高度原创性，该解决方案是基于与现有解决方案完全不同的哲学开发的，即使在统计理论中也是创新的，5）反映国家的最先进的电力系统状态估计领域？目前主要的研究活动，和6）容易集成的同步相量测量到建议的状态估计器。