Open AccessA NOVEL METHOD OF MPPT ALGORITHM USING CSO ASSISTED PandO FOR SOLAR SYSTEMS
Author(s) -
Raghavendra Prabhu,
J Muruganantham,
V Pavithran,
A Sanjay Kumar
Publication year - 2020
Publication title -
international journal of engineering applied science and technology
Language(s) - English
Resource type - Journals
ISSN - 2455-2143
DOI - 10.33564/ijeast.2020.v04i12.026
Subject(s) - computer science , photovoltaic system , algorithm , mathematical optimization , engineering , mathematics , electrical engineering
The chicken swarm optimization algorithm is a new biology optimization algorithm, but its highdimensional operation generally causes deviation and the generation time of optimizing is a little long. An increased chicken swarm optimization algorithm is proposed. In the increased algorithm, preliminary positions are arranged according to chaotic sequence; therefore, the uniformity and ergodicity of population are enhanced. Adaptive inertia weight is delivered to replace the rule of hens; thus, the velocity of global search and the potential of local search are enhanced. The following coefficient of chicks is changed into random quantity, so the danger of falling into local extremum is avoided. These enhancements beautify the search capability in the early stage and the music ability in the late stage of the algorithm. The multiplied algorithm is applied in the most electricity point monitoring manipulate of the photovoltaic gadget and is compared with other algorithms. Keywords— chicken swarm optimization CSO), maximum power point (MPP), perturb and observe (P&O), partial shading conditions (PSCs).