Solving Optimal Power Flow for Distribution Networks with State Estimation Feedback

Conference · Mon Jul 27 04:00:00 EDT 2020

DOI:https://doi.org/10.23919/ACC45564.2020.9147992· OSTI ID:1677464

Guo, Yi; Zhou, Xinyang; Zhao, Changhong; Chen, Yue; Summers, Tyler; Chen, Lijun

Conventional optimal power flow (OPF) solvers assume full observability of the involved system states. However in practice, there is a lack of reliable system monitoring devices in the distribution networks. To close the gap between the theoretic algorithm design and practical implementation, this work proposes to solve the OPF problems based on the state estimation (SE) feedback for the distribution networks where only a part of the involved system states are physically measured. The SE feedback increases the observability of the under-measured system and provides more accurate system states monitoring when the measurements are noisy. We analytically investigate the convergence of the proposed algorithm. The numerical results demonstrate that the proposed approach is more robust to large pseudo measurement variability and inherent sensor noise in comparison to the other frameworks without SE feedback.

• Research Organization: National Renewable Energy Laboratory (NREL), Golden, CO (United States)
• Sponsoring Organization: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Solar Energy Technologies Office (EE-4S)
• DOE Contract Number: AC36-08GO28308
• OSTI ID: 1677464
• Report Number(s): NREL/CP-5D00-75019; MainId:7003; UUID:e186118b-99e0-e911-9c26-ac162d87dfe5; MainAdminID:18654
• Country of Publication: United States
• Language: English

Related Subjects

POWER TRANSMISSION AND DISTRIBUTION
distirbution systems
optimal power flow
state estimations