Indirect adaptive soft computing based wavelet-embedded control paradigms for WT/PV/SOFC in a grid/charging station connected hybrid power system

Abstract

This paper focuses on the indirect adaptive tracking control of renewable energy sources in a grid-connected hybrid power system. The renewable energy systems have low efficiency and intermittent nature due to unpredictable meteorological conditions. The domestic load and the conventional charging stations behave in an uncertain manner. To operate the renewable energy sources efficiently for harvesting maximum power, instantaneous nonlinear dynamics should be captured online. A Chebyshev-wavelet embedded NeuroFuzzy indirect adaptive MPPT (maximum power point tracking) control paradigm is proposed for variable speed wind turbine-permanent synchronous generator (VSWT-PMSG). A Hermite-wavelet incorporated NeuroFuzzy indirect adaptive MPPT control strategy for photovoltaic (PV) system to extract maximum power and indirect adaptive tracking control scheme for Solid Oxide Fuel Cell (SOFC) is developed. A comprehensive simulation test-bed for a grid-connected hybrid power system is developed in Matlab/Simulink. The robustness of the suggested indirect adaptive control paradigms are evaluated through simulation results in a grid-connected hybrid power system test-bed by comparison with conventional and intelligent control techniques. The simulation results validate the effectiveness of the proposed control paradigms.

Optimization of energy management in hybrid SOFC-based DC microgrid considering high efficiency and operating safety when external load power goes up

“…Thus, fuel starvation must be addressed during the external load power rises up. 12,13 The above issues have a direct impact on SOFC-based DC microgrids. In the past decades, great investigative efforts have been undertaken to solve these above problems.…”

An Empirical Analysis of Green Technology Innovation and Ecological Efficiency Based on a Greenhouse Evolutionary Ventilation Algorithm Fuzzy-Model

“…The domestic load and conventional loading stations running unstable, instant nonlinear dynamics should be captured online to run renewable energies which efficiently harvest maximum power. A variable speed wind turbine-permanent synchronous generator (VSWT-PMSG) was discussed in this paper [20]. A Chebyshev-wavelet-embedded neuro-fuzzy indirect adaptive MPPT control model was proposed.…”

Performance Analysis of Micro-Grid Based On Measurement and Processing Different Electrical Quantities

“…Integration the RES has advantage and disadvantage, and the main advantage reduce the power losses through connected RES to the distribution system directly [15]. One of the most notable ways in which the nexus between performance analysis of a micro-grid system is aligned towards optimal power flow as well as load flow analysis is evident pertains to the fact that the two elements plays an integral role towards determining the total amount of energy that reaches the user [8]. Monitoring the Operation of the supply power generation for each terminal power supply, current at the steady state and of transit stability one of very important indicator to consider the system is to secure.…”