Design and Study on Sliding Mode Extremum Seeking Control of the Chaos Embedded Particle Swarm Optimization for Maximum Power Point Tracking in Wind Power Systems

Abstract

This paper proposes a sliding mode extremum seeking control (SMESC) of chaos embedded particle swarm optimization (CEPSO) Algorithm, applied to the design of maximum power point tracking in wind power systems. Its features are that the control parameters in SMESC are optimized by CEPSO, making it unnecessary to change the output power of different wind turbines, the designed in-repetition rate is reduced, and the system control efficiency is increased. The wind power system control is designed by simulation, in comparison with the traditional wind power control method, and the simulated dynamic response obtained by the SMESC algorithm proposed in this paper is better than the traditional hill-climbing search (HCS) and extremum seeking control (ESC) algorithms in the transient or steady states, validating the advantages and practicability of the method proposed in this paper.

Implementation of FPGA-Based Charge Control for a Self-Sufficient Solar Tracking Power Supply System

“…However, there is no optimum frequency for low switching loss and high charging efficiency in Reflex charging, the switch and battery have different losses at different frequencies. Therefore, to obtain the optimum charging frequency, we used the PSO algorithm [11,12] and CPSO [13] to search for the optimum Reflex charging frequency. The optimum frequency was calculated using the PSO, improved by the Taguchi method, and a logistic map [3].…”

Blade Fault Diagnosis in Small Wind Power Systems Using MPPT with Optimized Control Parameters

“…The actual measurements part of this study relies on simulation [33] and use is made of both a traditional and improved parameter maximum power point tracking algorithm optimized for simulation comparison and analysis. Real machine tests were made on a wind turbine of small output power and both simulated and real testing was done to validate the results which displayed excellent dynamic response and systematic integration of blade failure diagnosis was achieved.…”

Sliding mode extremum seeking control for maximum power point tracking in wind system

“…As shown in Figure 4, SM-ESC utilizes the three states switch to replace sign (s) in ESC and can achieve better effect of high frequency oscillation. Figure 5 is the wind MPPT scheme based on SM-ESC [18], [24], in which the variable s represents the sliding surface. The specific parameters of the controller in Figure 5 can be expressed as follows:…”

“…Although the similar techniques have been used in both solar MPPT and wind MPPT, there are two main differences between the developed methods and proposed strategy: 1) the controlled objective is not DC-DC converter but AC-DC inverter [16] [17]. 2) the load-side in the proposed wind system is not just a resistor [18] [19] but the dynamic load which includes battery and the DC constant power load, Therefore, applying the SM-ESC in the proposed wind system will be a novel and significant attempt, which can be more general in the practical applications. This paper is organized as follows.…”