A fractional order fuzzy-proportional-integral-derivative based pitch angle controller for a direct-drive wind energy system. (September 2019)

• Record Type: Journal Article
• Authors: Pathak, Diwaker; Gaur, Prerna
• Is Part Of: Computers & electrical engineering. Volume 78(2019)
• Page Start: 420
• Page End: 436
• Publication Date: 2019-09
• Subjects: Energy conversion -- Fractional order fuzzy-PID -- Non-linear system -- Pitch angle control -- Teaching-learning based optimization -- Wind energy; Computer engineering -- Periodicals; Electrical engineering -- Periodicals; Electrical engineering -- Data processing -- Periodicals; Ordinateurs -- Conception et construction -- Périodiques; Électrotechnique -- Périodiques; Électrotechnique -- Informatique -- Périodiques; Computer engineering; Electrical engineering; Electrical engineering -- Data processing; Periodicals; Electronic journals; 621.302854
• DOI: 10.1016/j.compeleceng.2019.07.021
• Languages: English
• ISSNs: 0045-7906

Abstract

Highlights: Pitch angle control of the wind turbine using the FOFPID controller is proposed and investigated for efficiency in power regulation. The proposed FOFPID based pitch angle controller achieves convenient control in dynamic wind speed and provides suitable behaviour for a highly non-linear wind turbine system, and hence, was selected to control the pitch angle of a wind turbine. The pitch angle regulation performance of the FOFPID based pitch angle controller is investigated to establish superiority over PID, FOPID and FPID based pitch angle controllers. The FOFPID based pitch angle controller is well-tuned by TLBO. TLBO tuned PID, FOPID and FPID controllers are also analysed to control the pitch angle for the first time. Abstract: A wind energy conversion system (WECS) is a highly nonlinear and coupled system in which the output power depends upon highly uncertain wind speed. Therefore, the quality of produced power becomes a challenging problem for engineers. Pitch angle control is a powerful and widely used power control method to handle wind above the rated wind speed. In this paper, a fractional order fuzzy-proportional-integral-derivative controller is proposed for pitch angle control to preserve the output power of a 2 MW direct-drive WECS at the rated value in dynamic wind conditions. To evaluate the performance of the proposed controller, the rise time, fall time, settling time, overshoot and total harmonic distortion by the proposed controller are compared with conventional and other intelligent controllers. Furthermore, the proposed controller is well-tuned using a teaching-learning based optimization (TLBO) algorithm. The performance of the TLBO is also compared with the genetic algorithm to show effectiveness.