Fast fault recovery of a grid integrated wind farm based HVDC Light transmission system

2014 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA) Pub Date : 2014-05-20 DOI:10.1109/ISGT-ASIA.2014.6873834

M. A. Kumar, K. Archana, N. V. Srikanth

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引用次数: 4

Abstract

Worldwide, wind energy is accepted as one of the foremost developed, cost-effective and proven renewable energy technologies to satisfy increasing electricity demands in an exceedingly sustainable manner. This paper investigates the fast AC fault recovery capability, fast and independent control of active and reactive power of the HVDC Light transmission system. These capabilities are most desired in future grids with high penetration of renewable energy sources like wind and solar. A negative sequence current controller is implemented for the wind turbine generator to mitigate the power oscillations and dc link voltage excursions within the HVDC Light system during fault conditions. Converters are controlled through adaptive neuro fuzzy inference system (ANFIS). The study system consisting of synchronous generator, a doubly fed induction generator (DFIG) based wind farm and voltage source converter based HVDC Light transmission system is modeled in Matlab/ Simpower Systems software. Simulation studies are carried out to demonstrate the effectiveness of the model for steady state and dynamic conditions.

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基于电网综合风电场的高压直流输电系统快速故障恢复

在世界范围内，风能被公认为是最发达、最具成本效益和最成熟的可再生能源技术之一，以一种非常可持续的方式满足日益增长的电力需求。研究了高压直流输电系统的交流故障快速恢复能力和有功、无功的快速独立控制。在风能和太阳能等可再生能源高渗透率的未来电网中，这些能力是最理想的。采用负序电流控制器对风力发电机进行控制，以减轻高压直流供电系统在故障状态下的功率振荡和直流链路电压漂移。采用自适应神经模糊推理系统(ANFIS)对变流器进行控制。研究系统由同步发电机、基于双馈感应发电机(DFIG)的风电场和基于电压源变换器的高压直流输电系统组成，并在Matlab/ Simpower Systems软件中进行建模。仿真研究证明了该模型在稳态和动态条件下的有效性。

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2014 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA)

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