Power Quality in Smart Grids

Abstract In this chapter, power quality in the future electrical network so-called smart grid, which consists of many microgrids, is discussed. A unified power quality conditioner (UPQC-S) based microgrid configuration with solar photovoltaic panels for voltage sag/swell, as well as for active and reactive powers compensation and harmonics mitigation, is proposed. The Adaline (adaptive linear neuron) network and learning rule LMS (least mean square) is employed to extract the load harmonics in both control strategies for the series and shunt power converters. To achieve high performance during transition without any saturation issues, proportional integral and proportional resonant controllers based on new antiwindup feedbacks are used. In addition, the maximum power point tracking (MPPT) from solar photovoltaic panels is achieved without using any MPPT methods. The performance of the developed control strategies and the proposed UPQC-S based microgrid when it is operating in grid connected mode as well as in off-grid mode are tested using MATLAB/Simulink under the presence of severe conditions.