Optimization of Solar Hybrid Power Generation Using Conductance-Fuzzy Dual-Mode Control Method

Abstract

The functioning of a solar hybrid power system is investigated in this research using a unique fuzzy control method. Turbines, solar photovoltaics, diesel engines, fuel cells, aqua-electrolyzes, and other autonomous generation products are used in the hybrid renewable energy system. Further energy storage components of the system include the batteries, turbine, and ultracapacitor. This research incorporates a supercapacitor hybrid energy storage system (HESS) into a solar hybrid power generating system, allowing the consumption and energy storage space and power output to be significantly increased. This study’s approach incorporates a decentralized power generation system with a HESS while increasing electrical output in phases utilizing a dynamic reactive power compensation scheme and a conductance-fuzzy dual-mode control strategy. Due to a nonlinear behavior of photovoltaic (PV) devices’ power output, maximum power point tracking (MPPT) methods must be used to create the greatest power. Infrequently developing atmospheric circumstances, traditional MPPT algorithms do not work adequately. Modeling is used to determine the microgrid’s power output to the photovoltaic hybrid power generating organization, as well as the optimization method for each device in the network. The dynamic power factor correction scheme and also the conductance-fuzzy dual-mode control approach are primarily used in this study to optimize the solar hybrid renewable energy system.

Performance Evaluation and Estimation of Energy Measures of Grid-Connected PV Module

“…The key photovoltaic systems components' failure levels based on ambient conditions are constructed and taken into account in the durability study. To gauge the dependability performance of PV systems, a number of reliability indicators are defined [5].…”

“…A significant sustainable energy source that generates electricity using photovoltaic (PV) power grids with no fossil fuel usage or emissions [5]. Semiconductor materials are used in photovoltaic cells or panels, which enable the direct conversion of solar energy to electrical energy.…”

Dynamic PI-PD cascaded MPPT controller for SPV system with battery charging circuit

“…Recently classical and intelligent techniques have been hybridized to limit the disadvantages of classical methods by differentiating the global MPP from all local MPP. Hybrid techniques like P&O with genetic and cuckoo search algorithms [21], P&O with neural network [22], and IC with PSO [23] are effective but convergence time is substantially extended due to the random numbers, which causes the particle to move desultorily [24]. As reported in the literature MPPT algorithms use controllers such as proportional integral (PI) and proportional integral derivative (PID) [18], in which duty cycle, voltage and current are treated as control variables.…”