Distributed power flow controller based on fuzzy-logic controller for solar-wind energy hybrid system

Abstract

The demand of electricity globally led to the concept of renewable energy resources for power generation that are eco-friendly and freely available from nature. The solar photovoltaic systems and wind-based power generators are considered as primary renewable resources and are called as Distributed Generation units as they are scattered in nature. These are operated with bidirectional converters by providing auxiliary services at grid side and load side in either mode of microgrid operation. Besides, the DC power generation units’ integration gets converted into AC system by means of inverters. These types of systems not only increase voltage and current harmonics, power frequency deviations but also drive the distribution system to risky operating zone. This emphasizes the stipulation of advanced control schemes for microgrid architecture. Consequently, power electronic converters introduce harmonics in the system and affect the system performance. To report these expanded issues, the authors recognized an advanced custom power device entitled distributed power flow controller. The proposed hybrid solar-wind energy system is first studied with a distributed power-flow controller. Later the system is examined by replacing proportional integral controller with fuzzy logic controller (FLC) for shunt control of distributed power-flow controller. To validate the investigations, MATLAB/Simulink software is used.

Power flow analysis in a distributed network for a smart grid system

“…𝑃 𝑖 = 𝑃 𝑜 , 𝑉 𝑖 𝐼 𝑖 = 𝐼 𝑜 𝑉 𝑜 (17) The second law in (18) is the balance of charge, which states that the input charge equals the output charge.…”

“…Its power generation does not correspond to peak demand hours. Wind and solar energy are unpredictable [18], [19]. This paper presents the proposed smart grid system's implementation by hybrid renewable resources and a battery system.…”

Fuzzy logic-based approach for optimal allocation of distributed generation in a restructured power system

“…Membership functions are employed to determine the size and rating of distribution generators, and the resulting evaluations are compared to reliability indices. During the formulation of optimization techniques or methodologies using fuzzy logic, indices obtained from different locations are equated with controller limits in power flow analysis [24].…”