Integration of hybrid controller for power quality improvement in photo-voltaic/wind/battery sources

Abstract

Renewable Energy Sources (RES) are currently being used on a larger scale to support and satisfy the higher energy demands caused by industrialization and population growth. Therefore, the power generation has to be increased at a greater speed to meet the daily user needs for improvement in lifestyle. The electric utilities and system operators face a tough challenge due to the rise in the number of consumers of power systems and the unpredictable nature of the electric load. Therefore, an effective Energy Management System (EMS) is developed using a combination of Modified Flower Pollination Algorithm (MFPA) and Modified Perturb and Observe (MP&O) method. Three different systems namely: RES Photovoltaic (PV) module, wind turbine, and battery are used to create an effective EMS. MFPA extracts more power from the PV panel by providing less scaling factor. Then it is utilized to increase the initialized population of particles to enhance step size and reset the position of particles. Furthermore, MFPA is used to effectively control the switching between the wind turbine and battery storage system. Furthermore, the MP&O method is used to trigger the switch of the DC-DC converter to achieve stable power from the PV/wind/battery system. The MFPA-MP&O controller is compared with three standard controller combinations FPA-P&O, FPA-MP&O and MFPA-P&O and is also compared with existing RES designs that are: MPCP-MPVP, Fuzzy Logic Control – Proportional Integral (FLC-PI), and MPPVC. Total Harmonic Distortion (THD) of MFPA-MP&O controller is 0.40%, which is less when compared with the MPCP-MPVP, FLC-PI and MPPVC RES designs.