Abstract
The solar photo-voltaic systems control architecture has a substantial influence over the cost, efficiency, and accuracy of maximum power point tracking under partial shading conditions. In this paper, a novel distributed architecture of a building integrated photo-voltaic system equipped with a single maximum power point tracking controller is presented in order to address the drawbacks associated with respect to cost, complexity and efficiency of the existing photo-voltaic system architectures. In addition, a radial movement optimization based maximum power point tracking control algorithm is designed, developed, and validated using the proposed system architecture under five different partial shading conditions. The inferences obtained from the validation results of the proposed distributed system architecture indicated that cost was reduced by 75% when compared to the commonly used decentralised systems. The proposed distributed building integrated photo-voltaic system architecture is also more efficient, robust, reliable, and accurate.
Highlights
The rapidly growing demand of the fossil fuels, such as coal, crude oil, and natural gas, is substantially influencing the focus of researchers around the world towards the identification of an alternate source of energy in the recent decades
In the first three scenarios, the PV system consists of two subsets, each with four series-connected PV modules evaluated under different partial shading conditions (PSC)
A novel distributed PV system architecture used in building integrated PV (BIPV) systems along with a fast, reliable, and robust radial movement optimization (RMO) based MPPT technique under PSC is proposed in this study
Summary
The rapidly growing demand of the fossil fuels, such as coal, crude oil, and natural gas, is substantially influencing the focus of researchers around the world towards the identification of an alternate source of energy in the recent decades. When compared with other conventional energy generation sources, this on-demand source of energy has its drawbacks in terms of the low output efficiency and dependency of the output characteristics on stochastic weather conditions. The control system has a substantial effect on the performance and efficiency of the system, which indirectly contributes to the cost associated with the system. One of the critical challenges that affect the efficiency of the PV system is the dependency of the PV systems output power on the performance and reliability of the control strategy incorporated into the system, especially under partial shading conditions (PSC). An unreliable control strategy may result in a substantial loss of the potential PV energy generated under PSC or sudden environmental changes. A proper control strategy implied the PV system has a substantial impact on the investment and running cost of the PV system
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