An improved energy management and control strategy for wind water pumping system

Abstract

This paper deals with an efficient method to ensure an optimal power flow in water pumping system based on renewable energy. In this context, this study aims to find a global supervisory strategy with an optimal adjustment of the DC-bus voltage enhancement. In the proposed study, a firefly algorithm is employed as the key optimizer of the supervisory power exchange in order to improve the different power flows exchanged among the system devices. The water pumping system (WPS) is made up of a wind turbine (WT) required as the principal renewable energy source associated to a battery energy storage system (BSS) to ensure the power supply continuity of a moto-pump system. The models of WPS units and the control strategy are developed using MATLAB software. The simulation results are provided to show the considerable improvement for the system as regards both of voltage stability and the feasibility of power management strategy.

Modelling and Simulation of the Hybrid System PV-Wind

“…The wind turbine is a mechanical device that extracts the energy of moving air and converts it into useful work (Mechanical power that can be characterized by speed of rotation and mechanical torque) [9]. This work can be used for generating electrical power when combined with a generator [10].…”

A novel approach of numerical optimization for control theory problems based on generalization of Gigena's method

“…For the sake of comparison with the results obtained in [10], we set n = 3 and B = 1. In this case, the equations J i = 0, i = 1, 2, 3, … , n produce the following expressions:…”

“…It is emerging as the computational framework of choice for studying the neural control of movement, in much the same way that probabilistic inference is emerging as the computational framework of choice for studying sensory information processing. Mathematical control theory is the area of application-oriented mathematics that deals with the basic principles underlying the analysis and design of control systems [10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25].…”