Coordinated Power Management and Control of Standalone PV-Hybrid System With Modified IWO-Based MPPT
Autor: | Chittaranjan Pradhan, Manoj Kumar Senapati, Siva Ganesh Malla, Paresh Kumar Nayak, Terje Gjengedal |
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Rok vydání: | 2021 |
Předmět: |
Power management
021103 operations research Maximum power principle Computer Networks and Communications Computer science Photovoltaic system 0211 other engineering and technologies 02 engineering and technology VDP::Technology: 500::Electrotechnical disciplines: 540 VDP::Teknologi: 500::Elektrotekniske fag: 540 Maximum power point tracking Computer Science Applications Electricity generation Control and Systems Engineering Control theory Hybrid system Microgrid Electrical and Electronic Engineering Information Systems |
Zdroj: | IEEE Systems Journal. 15:3585-3596 |
ISSN: | 2373-7816 1932-8184 |
DOI: | 10.1109/jsyst.2020.3020275 |
Popis: | To augment the photovoltaic (PV) power generation conversion, a maximum power point tracking (MPPT) technique plays a very significant role. This article introduces a hybrid MPPT algorithm integrating modified invasive weed optimization (MIWO) and perturb and observe (P&O) technique under the rapid weather change and partial shading scenarios for the efficient extraction of the maximum power from the standalone PV-based hybrid system. MIWO handles the initial stages of MPPT followed by the application of the P&O algorithm at the final stages in view of acquiring the rapid global peak and maximal PV power. The studied microgrid comprises of the PV system, battery, electrolyzer, fuel cell, and load. A coordinated dc-voltage regulation and power management strategy between each subsystem of the hybrid microgrid is implemented to save the battery from the undesirable charging/discharging operation. Additionally, with the monitoring of dc voltage, the dc/dc converter associated with the battery and dc link plays as an MPPT circuit of the PV without the requirement of an extra dedicated circuit. Takagi–Sugeno (TS) fuzzy controller is adopted for suppressing/mitigating the voltage oscillations of the microgrid during the variations in the solar irradiance/temperature and power demand. The results clearly exhibit the superior performance of the proposed methodology compared with some of the existing techniques. |
Databáze: | OpenAIRE |
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