A local information integrated protection scheme for MMC-MTDC transmission system

IF 5 2区工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

International Journal of Electrical Power & Energy Systems Pub Date : 2024-10-08 DOI:10.1016/j.ijepes.2024.110256

Rongjiao Tang , Yangyang He , Hulin Liu , Zhongping Liu , Jun Han , Yong Li , Nengling Tai

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引用次数: 0

Abstract

The integration of renewable energy sources has transformed fault characteristics in modular multilevel converter-based multi-terminal DC (MMC-MTDC) transmission systems, posing challenges to conventional protection schemes. This paper introduces an advanced protection scheme that leverages local information to address these challenges. The proposed scheme utilizes the DC voltage change rate as the initial criterion, adopts the polarity of single-ended differential current (SEDC) to identify faulted poles, applies the first derivative of DC transient voltage spectrum energy using the generalized S-transform to determine faulted DC lines, and employs local differential zone current (LDZC) to detect AC system faults in converters. A comprehensive MMC-MTDC test system is modeled in PSCAD/EMTDC to evaluate the performance of the protection scheme. Simulation results demonstrate that the proposed scheme offers rapid and reliable fault identification, effectively handling high fault resistance and noise across various fault conditions.© 2017 Elsevier Inc. All rights reserved.

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MMC-MTDC 输电系统的本地信息综合保护方案

可再生能源的集成改变了基于模块化多电平转换器的多端直流（MMC-MTDC）输电系统的故障特性，给传统保护方案带来了挑战。本文介绍了一种先进的保护方案，利用本地信息来应对这些挑战。所提方案利用直流电压变化率作为初始判据，采用单端差分电流（SEDC）极性来识别故障极点，利用广义 S 变换对直流瞬态电压谱能量进行一阶导数来确定故障直流线路，并采用局部差分区电流（LDZC）来检测换流器中的交流系统故障。在 PSCAD/EMTDC 中模拟了一个全面的 MMC-MTDC 测试系统，以评估保护方案的性能。仿真结果表明，所提出的方案能够快速可靠地识别故障，有效处理各种故障条件下的高故障电阻和噪声。保留所有权利。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Electrical Power & Energy Systems 工程技术-工程：电子与电气

CiteScore

12.10

自引率

17.30%

发文量

1022

审稿时长

51 days

期刊介绍： The journal covers theoretical developments in electrical power and energy systems and their applications. The coverage embraces: generation and network planning; reliability; long and short term operation; expert systems; neural networks; object oriented systems; system control centres; database and information systems; stock and parameter estimation; system security and adequacy; network theory, modelling and computation; small and large system dynamics; dynamic model identification; on-line control including load and switching control; protection; distribution systems; energy economics; impact of non-conventional systems; and man-machine interfaces. As well as original research papers, the journal publishes short contributions, book reviews and conference reports. All papers are peer-reviewed by at least two referees.