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However, the photovoltaic systems have still to improve its overall efficiency which is dependent on the technology generation efficiency and the impact of the variable and the variable weather parameters. Furthermore, the PV panels output is characterized by their I-V and P-V curves [3]. Due to the non-linear I-V and P-Vcurves of PV panel, the PV characteristic curves are affected by the local weather condition, mainly solar radiation intensity and ambient temperature. The dynamic load profile may result in a mismatch between the load characteristics and the Maximum Power Point (MPPs) of the PV panel. In order to resolve the demand and MPP, tracking system where implemented to ensure PV system are operating at MPP, which is the optimal operating point [1].Many methods to track the MPP have been developed and implemented. These methods vary according to their complexity, required sensors, time convergence, cost, range of effectiveness, implementation hardware, popularity and hence has been categorized from the great simplicity to the most creativity [4]. In general, all MPPT methods can be classified to either an indirect or direct methods. The indirect methods, such as, open-circuit and short-circuit methods implement mathematical concepts that do not consider the weather parameters, hence, cannot accurately track the MPP of PV module at different weather conditions. On the other hand, the direct methods can track the MPP at any meteorological conditions, such as, Perturb and Observe (P&O), Incremental Conductance (IncCond) which is the most used method for MPPT and devices using this method can be found commercially. These Commercial devices generally using the perturbative MPPT methods [5].The recent researches have been concentrated on new methods such as fuzzy logic [6][7] neural networks [8] [9] and Takagi-Sugeno [10] to obtain a variable step. These techniques require 9 to 49 rules in the rule table which are in function on the numbers of linguistic variables in input membership functions (MFs). For this reason, these techniques have significant difficulty in implementation. therefore, they are not suitable for cost-sensitive systems [11].In this paper a widely IncCond Technique is used because of its easiest of implementation and no requirement of periodic tuning [12]. The performance of the IncCond technique is determined by the convergence time toward the MPP and steady-state perturbations which depends on the step-size of perturbation. Smaller step-size causes in lower perturbation but results in slow response time. While large step-size increases the steady-state perturbation [13].Under rapidly changing of solar irradiance, the performance of this method is degraded [14]. The objective of this paper is to design a low-cost and high-performance MPPT technique. A modified IncCond algorithm is proposed to mitigate inaccurate responses under non-uniform insolation conditions. The two MPPT techniques: conventional IncCond method and proposed method are simulated in the Matlab/Simulink environment. A compar...

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