SBIR Phase I: A Robust Real-time Topology Estimator for Power Grids

这个小型企业创新研究(SBIR)第一阶段项目旨在开发一种新的电力系统运行状态估计器。研究目标是开发一个商品化的状态估计软件包，并对包括真实系统在内的不同电力系统进行测试。这项研究将使用图论、线性代数和高维统计的技术。这项研究的新颖性在于汇集了这些不同学科的尖端思想，以解决当前电力行业使用的状态估计器的稳健性问题。该项目的更广泛的影响/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极其关键，如果处理得当，可以帮助防止系统范围的故障或停电；2)所提议的方法商业化的必然性保证显著的NSF支持，因为所提供的解决方案对于实时应用足够快，并且新的状态估计器与现有的相比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)建议方法的独特性，它为市场提供了替代技术无法满足的竞争优势，并可以吸引来自非SBIR来源的进一步资金，并导致对电力行业的直接销售；5)建议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)建议方法的新程序基于独特的公式和独特的哲学，可以促进状态估计领域的教学、培训和学习。

This Small Business Innovation Research (SBIR) Phase I project aims to develop a novel state estimator for power system operations. The research objectives are to develop a commercialized software package of state estimation and conduct testing on different power systems including real systems. This research will use techniques from graph theory, linear algebra, and high dimensional statistics. The novelty of the research is in bringing together cutting-edge ideas from these diverse disciplines to solve the problem of robustness in current state estimators used in power industry. The anticipated technical results include a commercialized software package that largely improves the system monitoring and therefore the operation security of power systems.The broader impact/commercial potential of this project includes 1) the targeted problem (power system state estimator) is extremely critical in modern power grids or smart grids and can 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 the real-time application and the new state estimator does not ask for additional inputs or requirements comparing with the existing ones, 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.