Journal
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
Volume 12, Issue 1, Pages 360-367Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSTE.2020.2996089
Keywords
Inverters; Heuristic algorithms; Voltage control; Maximum power point trackers; Centralized control; Perturbation methods; Photovoltaic systems; DC-DC power converters; DMPPT; maximum power point tracking; photovoltaic systems; renewable energy sources; solar power generation
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Funding
- Belgian Walloon region under the project BATWAL [1318146]
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This article proposes a new control algorithm to improve the dynamic performance in distributed maximum power point tracking systems. The algorithm utilizes the benefits of vectorial multi-variable perturb & observe logic and centralized control with DC-bus voltage control, resulting in improved system stability.
This article proposes a new control algorithm that improves the dynamic performance in distributed maximum power point tracking systems. Systems with these architectures allow to increase the photovoltaic power harvested in case of partial shading and irradiance mismatch. The classical approach adopts distributed DC/DC power electronics and control without any centralized action, which makes difficult to know whether the system is working on its optimal operating point or not. The new control algorithm presented in this paper exploits the benefits of the vectorial multi-variable perturb & observe logic and acts on the control sequence under varying irradiance conditions, reducing voltage stresses at the DC/DC converters output terminals. In addition, the matching with the DC-bus voltage control is discussed, providing a centralized control to the overall system, a fact barely addressed in literature. Simulation results and experimental measurements validate the proposed approach showing improved dynamic performance and system stability.
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