International Journal of Engineering Applied Sciences and Technology, 2020 Vol. 4, Issue 12, ISSN No. 2455-2143, Pages 179-182 Published Online April 2020 in IJEAST (http://www.ijeast.com) 179 A NOVEL METHOD OF MPPT ALGORITHM USING CSO ASSISTED P&O FOR SOLAR SYSTEMS R. Jenin Prabhu Assistant Professor, Vel Tech, Chennai, India J. Muruganantham UG Student Vel Tech, Chennai, India, V. Pavithran UG Student Vel Tech, Chennai, India A. Sanjay Kumar UG Student Vel Tech, Chennai, India Abstract—The chicken swarm optimization algorithm is a new biology optimization algorithm, but its high- dimensional 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). I. INTRODUCTION In a PV electricity gadget, partial shading is a nun keep away from in a position complication that notably reduces the efficiency of the normal machine resulting in multiple peaks with numerous local and one international peak (GP). Thus, finding out this height leads to a extraordinary challenge for designing an appropriate MPP tracker (Subudhi and Pradhan, 2013; Brito et al., 2013; Elgendy et al., 2015; Elgendy et al., 2013; Elgendy et al., 2016; Ishaque et al., 2012), (Chen et al., 2014) for a PV system. A method to determine the incidence of partial shading accompanied by means of a ramp exchange in obligation cycle with non-stop sampling to determine the international top is discussed in (Ghasemi et al., 2016; Tey and Mekhilef, 2014; Sundareswaran et al., 2014) achieving quicker convergence towards the Gp beneath partial shading. A new sensor-less Hybrid MPPT is proposed in (Sher et al., 2015) which exhibits low strength oscillation around the MPP. Relationship between the load line and I-V curve with trigonometric rule has been proposed too btaina quick MPPT tracking response. A nent colony based MPPT has been proposed in (Sundareswaran et al., 2016), which is found to track the GP with minimal time and low computational overhead. Currently, soft computing techniques such as particle swarm optimization (PSO) (Ishaque et al., 2012) and many other evolutionary alga- rhythms are used for developing MPPT techniques to track the GP under PSCs. Currently, soft computing strategies such as particle swarm optimization (PSO) (Ishaque et al., 2012) and many other evolutionary alga- rhythms are used for creating MPPT strategies to track the GP under PSCs. In (Mohanty et al., 2016), authors have enveloped a CSO- MPPT technique which is able to track the GP under PSCs. After have- in pursued the certain convergence analysis i.e. the time taken to attain the GP by means of the CSO and P&O MPPTs, in this modern paper, we have attempted to combine these two MPPTs. The above combination is aimed at achieving faster tracking of the Gp via the proposed hybrid CSO-P&OMPPT technique to hand lerapidlyvaryinginsolation patterns. In the proposed mixture of CSO-MPPT and P&O- MPPT, the former approach is used in off-line to carry the running factor of the PV array close to the genuine MPP and then the later method is used in on-line to track the MPP with higher accuracy. Such fusion of off-line and online MPPT strategies makes quickly tracking and guar-antees world convergence for handling rapidly varying photo voltaic insolationpatterns. The goal of this paper is to appoint a dynamic global MPPT technique through combining a CSO optimizer with P&O MPPT which can cope with PSCs with a motivation of its implementation in a sensible PV system. II. PARTIAL CONDITION When one(or many) of the module in a solar panel comes under the impact of shading(which can be due to trees, neighboring buildings, clouds and many extra circumstances