Solar PV array reconfiguration using Ant Colony Optimisation for maximum power extraction under partial shading conditions
Journal Title: International Journal of engineering Research and Applications - Year 2017, Vol 7, Issue 9
Abstract
The role of Renewable energy resources is important in the India’s power sector. Due to the rapid increasing energy demand, PV (Photovoltaic) power is becoming a leading source of electrical energy. PV array suffers from the serious and unavoidable trouble called partial shading,when exposed to different level of solar irradiances. Photovoltaic (PV) array reconfiguration is an efficient dynamic rearrangement of PV modules to reduce the effect of partial shading without changing the physical location of modules. PV (photovoltaic) array reconfiguration is achieved by changing the electrical connections of the modules while the physical location remain unaltered. This paper introduces an ACS (Ant colony system) optimisation algorithm to find the best configuration of a PV array connected to maximise power output. ACS (Ant colony system) is a novel metaheuristic inspired by the foraging behaviour of real ant. The ACS algorithm reproduces the technique used by ants to construct their food recollection path from their nest, where a set of artificial ants cooperate to find the best solution through the interchange of the information contained in the pheromone deposits of the different paths. The major objectives considered are minimization of irradiance equalisation index and minimisation of number of switching operations required in PV array reconfiguration. A mathematical model is developed to determine the equalization index and module switching count associated with PV reconfiguration problem and developed a modified multi-objective ACS (Ant Colony System) to provide optimum solution for multiobjective problem .Software based on this approach is developed in C programming and validated for different shading cases. The main advantage of this method is the low computational effort required to reconstruct the solution as compared to other existing optimisation methods. The technique found as a flexible and powerful tool for optimal PV array reconfiguration.
Authors and Affiliations
Vaishnavi P. Deshpande, Sanjay B. Bodkhe
Keywords
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- EP ID EP392379
- DOI 10.9790/9622-0709042128.
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