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Nowadays, many solar photovoltaics (PV) are installed in the power grid. Maximum power point tracking (MPPT) method is used to maximize the power in solar PV. However, the power maximum in PV can cause overvoltage in the power grid. Therefore, this paper discusses a modified Incremental conductance (IC) MPPT algorithm for constant power generation (CPG) under fluctuated solar irradiation. This method...
A photovoltaic (PV) module is an important source in distributed generation due to low maintenance cost, low operational cost and eco-friendly. Tracking the maximum power point (MPP) of a PV module has been a hot issue to increase energy production. Maximum power point tracking (MPPT) methods based on nature inspired algorithm such as firefly algorithm (FA) has been proposed to track the MPP. However,...
This paper proposes an intelligent control method using Adaptive Neuro-Fuzzy Inference System (ANFIS) for maximum power point tracking (MPPT) of PV module. The method is verified under several irradiance and temperature conditions. DC - DC boost converter is connected between the PV module and the load. Duty cycle of DC - DC boost converter is controlled by ANFIS in order to obtain the MPPT. The ANFIS...
This paper presents optimized PI constant for current controller of grid connected inverter with LCL filter. The controller consists of PI controller applied in Synchronous References Frame to control inverter current. To analyze the controller, the system should be modeled. Unfortunately the system is too complex. Therefore, to simplify the system, it is converted into a balanced single-phase model...
This paper presents analytical techniques for reducing switching losses of voltage source inverter (VSI) using Generalized Discontinuous PWM (GDPWM). The switching losses of inverter is influenced by the angle on the modulation of GDPWM. This problem will be optimized using a new optimization method. This method is called as Spontaneous Evolutionary GA (SEGA). The inverter switching losses is formulated...
This paper proposes a SOC (State-of-charge) estimator of batteries using the Extended Kalman Filter (EKF). EKF can work properly only with accurate model. Therefore, this paper includes high accuracy electrical battery model for EKF state. The modeling is focused on high-capacity LiPB batteries. The battery model is extracted from single cell of LiPB 40Ah, 3.7V. The dynamic behavior of single cell...
This paper describes a PSIM simulator for the analytical approach of the HEV (Hybrid Electric Vehicle) power train operation. For this research, a series-parallel type HEV (SPHEV) are chosen to apply the Forward-Facing approach simulation method. As the traction power of the series-parallel type HEV can be supplied from both of the ICE (Internal Combustion Engine) and the traction motor, the planetary...
Simulation can be a powerful tool to evaluate the batteries for the utilization in system level. It can be a low-cost and simple evaluation method instead of the high-cost and complicate prototyping. However, to guarantee the simulation results of batteries is similar to real condition, it is necessary to get a high-accuracy electrical battery model. In this paper, battery modeling is focused on high...
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