Development of a Fractional Order Chaos Synchronization Dynamic Error Detector for Maximum Power Point Tracking of Photovoltaic Power Systems

Abstract

Abstract:In recent years, the photovoltaic (PV) power generation system has been widely discussed and researched. Research on electric energy focuses on the development of Maximum Power Point Tracking (MPPT) technology, and many methods have been proposed. However, these studies have a common defect: the tracking continues near the maximum power point (MPP), so that the waveform of output power jitters, thus causing power loss and rapid wearing of electronic modules. In order to remedy this defect, this paper proposes a new type of fractional order chaos synchronization dynamic error detector for the MPPT design of a PV power system. In this study, the Sprott chaos synchronization dynamic error system was used to control the pulse width duty cycle of PWM and optimize the power oscillation of a PV power system during steady-state response. The simulation and experimental results showed that the voltage detector proposed in this paper can reduce the power oscillation of a PV power system during steady-state response, and increase the overall system efficiency. From the steady-state responses of MPPT, it can be seen that about 0.2 vibration amplitude can be suppressed with control action. Therefore, about 4% of steady-state vibration energy can be saved.

A Novel Enhanced MPPT Method Combining Fractional-Order and Fuzzy Logic Control

“…Hence, the characteristic between PV diffusion current and ambient conditions (solar radiation, temperature) can be described by dynamic behaviors as FO diffusion [2], [3]. The mathematical model of an FO form approximately describes the diffusion phenomenon of a solar cell [4]. It is required to keep a PV system operation near the maximum power point (MPP) to maximize its power efficiency.…”

“…Many MPP tracking (MPPT) algorithms have been implemented in PV systems such as perturbation and observation /hill climbing [5], incremental conductance (IncCond) [6], constant or fractional voltage/current [7], [8], and particle swarm optimization (PSO) [9]. The suitable FO factor can enhance the accuracy of MPPT by the reasonable approximations of FO calculus [2]- [4]. The FOICM (FO IncCond method) is based on the FO incremental changes of the PV array current and voltage at the MPP [2].…”

“…The FOICM (FO IncCond method) is based on the FO incremental changes of the PV array current and voltage at the MPP [2]. Yu et al have improved the FO incremental changes by variable fractional order [3] and chaos synchronization dynamic error [4]. Different from the fractional current/voltage [7], [8], the FO method avoids measuring the short-circuit current and open-circuit voltage [2]- [4].…”

“…Yu et al have improved the FO incremental changes by variable fractional order [3] and chaos synchronization dynamic error [4]. Different from the fractional current/voltage [7], [8], the FO method avoids measuring the short-circuit current and open-circuit voltage [2]- [4]. The FO IncCond algorithm is theoretically concise and effective, but the performance lacks robustness.…”

Mechanism Analysis of PCC Harmonic Resonance Based on Nonlinear Self-Oscillation Concept in a High-Power Grid-Tied Photovoltaic Plant

“…For renewable energy generations, almost all dispatched loads and parallel reactive power compensating devices work in a frequently changing way [19]. The parameters of equivalent admittance/impedance of fundamental and harmonics of these equipment exist in uncertainty, which will significantly change the harmonic network admittance matrix of micro-grid [20]. Due to the rapid increase of photovoltaic systems in micro-grids, the problem of power quality associated with the intermittent nature of these systems had become more and more serious, and many efforts have been made already [21,22].…”