Adaptive control paradigm for photovoltaic and solid oxide fuel cell in a grid-integrated hybrid renewable energy system

Abstract

The hybrid power system (HPS) is an emerging power generation scheme due to the plentiful availability of renewable energy sources. Renewable energy sources are characterized as highly intermittent in nature due to meteorological conditions, while the domestic load also behaves in a quite uncertain manner. In this scenario, to maintain the balance between generation and load, the development of an intelligent and adaptive control algorithm has preoccupied power engineers and researchers. This paper proposes a Hermite wavelet embedded NeuroFuzzy indirect adaptive MPPT (maximum power point tracking) control of photovoltaic (PV) systems to extract maximum power and a Hermite wavelet incorporated NeuroFuzzy indirect adaptive control of Solid Oxide Fuel Cells (SOFC) to obtain a swift response in a grid-connected hybrid power system. A comprehensive simulation testbed for a grid-connected hybrid power system (wind turbine, PV cells, SOFC, electrolyzer, battery storage system, supercapacitor (SC), micro-turbine (MT) and domestic load) is developed in Matlab/Simulink. The robustness and superiority of the proposed indirect adaptive control paradigm are evaluated through simulation results in a grid-connected hybrid power system testbed by comparison with a conventional PI (proportional and integral) control system. The simulation results verify the effectiveness of the proposed control paradigm.

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

“…The nonlinearity arises due to the erratic load, variable wind speed, dynamic solar radiation and inconsistent temperature. This work is actually an extension of the work presented in [ 12 ], [ 18 ], [ 19 ]. The rest of the paper is organized into five main sections.…”

“…The NeuroFuzzy MPPT is successfully implemented to acquire the maximum power from WECS. However, the inherent shortcoming of the NeuroFuzzy system is that it has long computational time and becomes trapped in local minima of the search space [ 12 ].…”

Energy Management Strategy Using ANFIS Approach for Hybrid Power System

“…Tab. 3 gives the values of power produced from PV, Fuel cell, Battery for specific insolation. It also gives a clear picture of the better performance of the ANFIS controller.…”

“…The energy management scheme [2] for a micro grid with a diesel generator and renewable generators such as PV and fuel cell is discussed. In [3] grid connected multi-source system and optimal cost analysis are discussed using COTS (Commercial off the Shelf) components. It proposes essential domestic appliance utilized by the PV system.…”

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

“…The 49% of the electrical demands on the world will be increasing in 2035 [7]. The benefit of the integration RES can be named as fast installation, high power quality, less pollution and increasing energy efficiency [1].The ways in which different electrical quantities can be aligned towards the blueprint of performance analysis also encompasses the analysis of flow of power.…”