Geometric maximum power point tracking and sliding mode control of a bidirectional grid connected single phase two‐stage photovoltaic system with DC loads. Issue 9 (23rd June 2016)

• Record Type: Journal Article
• Authors: Shen, Liqun; Lu, Dylan Dah‐Chuan; Wang, Yanmin
• Is Part Of: IET renewable power generation. Volume 10:Issue 9(2016)
• Page Start: 1310
• Page End: 1317
• Publication Date: 2016-06-23
• Subjects: maximum power point trackers -- geometry -- variable structure systems -- adaptive control -- control system synthesis -- power grids -- photovoltaic power systems -- power generation control -- load flow control -- power factor; geometric maximum power point tracking method -- adaptive sliding mode controller design -- bidirectional grid connected single phase two‐stage photovoltaic system -- DC loads -- MPPT -- DC bus coupled grid‐connected PV system -- power allocation -- PV array -- bidirectional power flow control -- power supply -- power consumption -- unity power factor; Renewable energy sources -- Periodicals; 333.79405
• DOI: 10.1049/iet-rpg.2015.0554
• Languages: English
• ISSNs: 1752-1416

Abstract

Abstract : This study proposes a new geometric maximum power point tracking (MPPT) method for photovoltaic (PV) power system. The reference point can be calculated and updated in real time directly with the proposed method. The reference point will converge to the real maximum power point (MPP) when approaching MPP. This can improve the MPPT speed comparing with the commonly used step‐by‐step optimisation. The MPPT method is applied to a DC bus coupled grid‐connected PV system with the presence of DC loads, and an adaptive sliding mode controller is designed for the whole system. The proposed control scheme performs the MPPT and the power allocation between the PV array and the grid adaptively. With adaptive method, the converter can control the power flow bi‐directionally to balance the power supply and consumption under a unity power factor. Simulation and experimental results are reported to confirm the proposed approach.