Multi-criteria fuzzy algorithm for energy management of a domestic photovoltaic panel

Artificial Intelligence Techniques in Solar Energy Applications

“…The MPP is detected and tracked with minimum error as the solar irradiation level change resulting in different maximum power operating points. Salah et al (2008) used a fuzzy algorithm for energy management of a domestic photovoltaic panel. The algorithm is validated on a 1kW peak (kWp) photovoltaic panel and domicile apparatus of different powers installed at the Energy and Thermal Research Centre in the north of Tunisia.…”

Fuzzy Logic Energy Management for a Residential Power System Using Renewable Energy Sources

“…Garcia et al [3] present an optimal energy management system for standalone wind turbine/photovoltaic/hydrogen/batery hybrid based on fuzzy logic. Also, Ben Salah et al [4] and Athari and Ardehali [5] are using fuzzy logic to facilitate the integration of renewable energy into residential or decentralized small power grid applications. Several papers, writen by the same research group, present optimal control of diferent combinations of power sources that feed a heat pump and other loads.…”

Fuzzy Energy Management for Photovoltaic Water Pumping System

“…In this sense, Fuzzy logic has been used for the energy management in photovoltaic based systems [13,14]. Indeed, in autonomous photovoltaic installations, which are composed of photovoltaic panels, a battery bank and converters, fuzzy logic has been used to optimize the photovoltaic energy generated, to guarantee the installation' autonomy, ensure a safe operation for the battery' bank and supply the loads [13,15].…”

“…Indeed, in autonomous photovoltaic installations, which are composed of photovoltaic panels, a battery bank and converters, fuzzy logic has been used to optimize the photovoltaic energy generated, to guarantee the installation' autonomy, ensure a safe operation for the battery' bank and supply the loads [13,15]. Moreover, this tool has been used in renewable based installations, which supply controllable loads [14,16] and constant critical and non-critical loads [17]. Furthermore, owing to its simplicity in implementation, Fuzzy logic has been used in simpler applications, such as agriculture.…”

“…In fact, in some problems, it is complicated to give an exact value for criteria, such as in case of energy management [13,14]. Thus, fuzzy logic is considered a good method for these types of problems, since it gives the possibility to describe system behaviors, or decide control decisions using linguistic rules [20,21].…”