Online Voltage Stability Assessment for Load Areas Based on the Holomorphic Embedding Method

Date
2018-07
Authors
Liu, Chengxi
Wang, Bin
Hu, Fengkai
Sun, Kai
Bak, Claus Leth
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers
Abstract

This paper proposes an online steady-state voltage stability assessment scheme to evaluate the proximity to voltage collapse at each bus of a load area. Using a non-iterative holomorphic embedding method (HEM) with a proposed physical germ solution, an accurate loading limit at each load bus can be calculated based on online state estimation on the entire load area and a measurement-based equivalent for the external system. The HEM employs a power series to calculate an accurate P-V curve at each load bus and accordingly evaluates the voltage stability margin considering load variations in the next period. An adaptive two-stage Padé approximant method is proposed to improve the convergence of the power series for accurate determination of the nose point on the P-V curve with moderate computational burden. The proposed method is first illustrated in detail on a four-bus test system and then demonstrated on a load area of the Northeast Power Coordinating Council 48-geneartor 140-bus power system.

Description
This version is the accepted manuscript. See final published version at https://doi.org/10.1109/TPWRS.2017.2771384. © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Keywords
continuation power flow, holomorphic embedding method, Padé approximant, voltage stability assessment, voltage stability margin
Citation
Liu, C., Wang, B., Hu, F., Sun, K., & Bak, C. L. (2018). Online Voltage Stability Assessment for Load Areas Based on the Holomorphic Embedding Method. IEEE Transactions on Power Systems, 33(4), 3720-3734. doi:10.1109/TPWRS.2017.2771384
Department
Electrical and Computer Engineering