Design and Analysis of Sliding-Mode Artificial Neural Network Control Strategy for Hybrid PV-Battery-Supercapacitor System

Abstract

Nowadays, the growing integration of renewable energy sources poses several challenges to electrical energy systems. The latter need be controlled by grid rules to ensure their stability and maintain the efficiency of renewable energy consumption. In this context, a novel HESS (hybrid energy storage system) control strategy, combining the PV (photovoltaic) generator with FLC (fuzzy logic control), SC (super-capacitor), and lithium-ion battery modules, is advanced. The proposed energy control rests on monitoring of the low-frequency and high-frequency electrical power components of the mismatch between power demand and generation, while applying the error component of the lithium-ion battery current. On accounting for the climatic condition and load variation considerations, the SC undertakes to momentarily absorb the high-frequency power component, while the low-frequency component is diverted to the lithium-ion battery. To improve the storage system’s performance, lifetime, and avoid load total disconnection during sudden variations, we consider equipping the envisioned energy control design with controllers of SM and ANN types. The MATLAB/Simulink based simulation results turn out to testify well the investigated HESS control scheme’s outstanding performance and efficiency in terms of DC bus voltage rapid regulation, thereby enhancing the battery’s lifetime and ensuring the PV system’s continuous flow.

Load Flow Analysis and the Impact of a Solar PV Generator in a Radial Distribution Network

“…The results were better for the most distant PV locations. To detect PV generator localization, an ANN control technique has been proposed [18,19]. Table VIII lists the active and reactive power losses of the radial network system with respect to the node where the PV generator was Figure 5 shows the ANN controller modeling design based on data reported in Table VIII.…”

Hybrid fuel cell-supercapacitor system: modeling and energy management using Proteus

“…In addition, other energy management strategies have been studied based on optimization, such as the real-time optimal EMS. This one is based on the predictive control of the model [17], [29], other types of strategies are based on learning [30], [31]. Figure 1 illustrates various classifications of EMSs for EVs.…”

Renewable Energy and Energy Storage Systems

“…Sometimes there are several different renewable energy sources integrated with one or more other energy storage systems, as shown in Figure 6. The main purpose of these integrations is to guarantee a continuous energy supply all day at the lowest cost [97][98][99]. Many researchers have studied the combination of different renewable energy systems to provide carbon-free, higher energy production, and cheap energy sources [100].…”