Model Predictive Voltage Control of Wind Power Plants

Haoran Zhao, Qiuwei Wu

Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

Abstract

This chapter proposes an autonomous wind farm voltage controller (WFVC) based on model predictive control (MPC). It also introduces the analytical expressions for the voltage sensitivity to tap positions of a transformer. The chapter then describes the discrete models for the wind turbine generators (WTGs) and static var compensators (SVCs)/static var generators (SVGs). Next, it describes the implementation of the on‐load tap changing (OLTC) in the MPC. Furthermore, the chapter examines the cost function as well as the constraints of the MPC‐based WFVC for both control modes. In order to test the efficacy of the proposed WFVC, two case scenarios were designed: the wind farm is under normal operating conditions and the internal wind power fluctuation is considered; and besides internal power fluctuation, the impact of the external grid on the wind farm is considered.

Original languageEnglish
Title of host publicationModeling and Modern Control of Wind Power
PublisherWiley-IEEE press
Publication date2018
Pages175-192
Chapter9
ISBN (Print)9781119236382
DOIs
Publication statusPublished - 2018

Cite this

Zhao, H., & Wu, Q. (2018). Model Predictive Voltage Control of Wind Power Plants. In Modeling and Modern Control of Wind Power (pp. 175-192). Wiley-IEEE press. https://doi.org/10.1002/9781119236382.ch9