Nonlinear control for an optimized grid connection system of renewable energy resources

Abstract

This paper proposes an integral backstepping based nonlinear control strategy for a grid connected wind-photovoltaic hybrid system. The proposed control strategy aims at extracting the maximum power available while respecting the grid connection standards. The proposed system has a reduced number of power electronic converters, thereby ensuring lower costs and reduced energy losses, which improves the profitability and efficiency of the hybrid system. The effectiveness of the proposed topology and control methodology is validated using the MATLAB/Simulink software environment. The satisfactory results achieved under various atmospheric conditions and in different operating modes of the hybrid system, confirm the high efficiency of the proposed control strategy.

Autonomous power sharing for AC/DC HMGS using decentralized modified droop method for interlinking converter

“…Internet of things (IoT) based centralized control is design for MG which help is load management for remote areas, this scheme depends on the single circuit breaker switch which make the system less reliable [9]. In an another paper author proposed a nonlinear control strategy for PV and wind connected system to MG which efficiently extracts the maximum power from the DG by applying the Lyapunov's stability theory at rotor and grid side converters [10]. Model predictive control technique is designed for the HMGS, model predictive current and power (MPCP) control scheme which controls BESS which in-fact helps to develop a reliable method for building the EMS, this method controls the AC/DC bus voltages [11].…”

State and output feedback control for Lipschitz nonlinear systems in reciprocal state space: synthesis and real-time validation

“…The problems of monitoring and controlling the design of nonlinear systems have been exploited in many engineering areas using the state and output feedback principle [1]- [3] in standard state space (SSS) form. The synthesis problem of nonlinear control laws received remarkable attention with solid synthesis approaches: Tracking control with parametric uncertainties [4]; fuzzy and predictive control [5]; robust finitetime controller using sliding mode strategy [6]; backstepping controller using extended Kalman filter [7]; adaptive control using neural networks with input delay [8]; integral backstepping [9]; and feedback finitetime control for second-order systems [10].…”