Stability Study of Grid-Connected Power System for Wind Farms Considering Power Control

Authors

  • Liangnian Lv Goldwind Science & Technology Co., Ltd, Beijing, China, 100176
  • Zhong Fang Goldwind Science & Technology Co., Ltd, Beijing, China, 100176
  • Zhiqian Yang Goldwind Science & Technology Co., Ltd, Beijing, China, 100176
  • Aisikaer Goldwind Science & Technology Co., Ltd, Beijing, China, 100176
  • Lei Wu Goldwind Science & Technology Co., Ltd, Beijing, China, 100176
  • Yanchen Yang State Grid Jibei Electric Power Co., Ltd, Beijing, China, 100032

DOI:

https://doi.org/10.12694/scpe.v25i2.2543

Keywords:

Grid frequency, variability, wind farms, AC-DC converters, modeling, power control

Abstract

Wind energy has emerged as a pivotal practice in the contemporary energy landscape, generated through grid-connected power sources aligning with the vernacular principles of systemic approaches. This study explores the surge in initiation rates, offering insights into various factors impacting sustainable electricity production. Intriguingly, this research delves into the intricacies of managing the variability and uncertainty inherent in energy demand, catalysing the integration of grid-based solutions that enhance sustainability. It probes the dynamic nature of power supply paradigms, revealing a journey of continuous enhancement by applying cutting-edge resource methodologies. Amidst the backdrop of global shifts in electricity dynamics, this study uncovers the profound implications of energy depletion and wasteful consumption practices, spotlighting a burgeoning movement towards optimising grid electricity resources on a macro scale. The intricacies and nuances of power supply challenges are comprehensively dissected, offering valuable insights. Furthermore, the study explores the pivotal role played by information technology innovators in consolidating the predictability of wind energy, augmenting its viability. It also aligns with forward-looking reviews, underscoring the actionable strategies taken. The culmination of these efforts not only enhances predictability but also unlocks a spectrum of reflective and adaptive resources in wind energy utilisation.

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Published

2024-02-24

Issue

Section

Special Issue - Scalability and Sustainability in Distributed Sensor Networks