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Regular Paper | Open Access

Operational Range Assessment of Volt-VAR Security for Preventing Initial Commutation Failures of Multi-infeed HVDCs

Yinhong Lin, Bin Wang, Qinglai Guo, Huaichang Ge, Haotian Zhao, Yanzhen Zhou, Hongbin Sun ( )
State Key Laboratory of Power Systems, Department of Electrical Engineering, Tsinghua University, Beijing 100084, China
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Abstract

High-voltage direct current (HVDC) technology has been applied in many countries. Due to power imported via HVDCs, many synchronous generators have been shut down in receiving-end grids. Under this circumstance, simultaneous commutation failures (CFs) of multi-infeed HVDCs are likely to occur under AC faults that may cause a blackout. Thus, it is crucial to enhance dynamic var support in receiving-end grids. Many studies mainly focus on fast action of power electronic dynamic var sources and synchronous machine (SM) AVRs’ control, while spontaneous var output (SVO) of SMs may be underestimated. However, due to time delay of power electronic and AVR control, initial CFs are still likely to occur under short-circuit faults. To address this problem, this paper analyzes the mechanism of SVO and its impact on initial CFs. Then, the concept of Volt-VAR secure operational range (VVSOR) is proposed to ensure sufficiency of SVOs for preventing initial CFs. An optimization model for evaluating the VVSOR is established accurately without iteration with time-domain simulations. A heuristic solution method based on the decomposition algorithm is proposed. Finally, validity and efficiency of the evaluation method are verified based on a modified IEEE 39-bus system and a real system in eastern China.

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CSEE Journal of Power and Energy Systems
Pages 1809-1819

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Cite this article:
Lin Y, Wang B, Guo Q, et al. Operational Range Assessment of Volt-VAR Security for Preventing Initial Commutation Failures of Multi-infeed HVDCs. CSEE Journal of Power and Energy Systems, 2026, 12(4): 1809-1819. https://doi.org/10.17775/CSEEJPES.2022.05750

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Received: 22 August 2022
Revised: 18 October 2022
Accepted: 11 November 2022
Published: 27 June 2023
© 2022 CSEE.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).