Power Quality Improvement of Micro Grid Interfaced Hybrid System Using Dstatcom with Grass Hopper Optimization Algorithm

Abstract

Microgrids that combine AC and DC have gained popularity in recent years due to the benefits they offer. Due to the MG's dual-grid configuration, AC-DC converters must be interconnected. Non-linear AC loads can adversely affect the quality of the AC bus voltage when an extra harmonic adjustment mechanism is added to the interlinking converters. Typically, active power filters (APFs) are designed to control harmonics, but interconnection converters exchange real and reactive power between DC and AC sub-grids. Switching frequencies should be lower than APFs when the MG has a high capacity. Low switching frequencies may adversely affect harmonic correction or system stability. An integrated PV and wind energy system was incorporated into the hybrid system in this study. The maximum power point tracking (MPPT) method has been proposed to maximize system efficiency. Furthermore, the stability of the hybrid system was improved in this study.Our current work includes the addition of a fact device referred to as DSTATCOM, which is optimized with the grass hopper algorithm (GOA). To reduce power disturbances, reactive power compensation is used along with active power filters. Harmonics as well as sags and swells are also protected by this device. When used as a current controller, it increases current, and when used as a voltage controller, it increases voltage. Due to an issue of unbalanced load in the grid the weak AC supply can be compensated by applying the modified GOA algorithm. Due to the quick response time, modified algorithms are proposed during the occurrence of a power quality issue in the grid. The proposed technique uses solar and wind energy inputs to check the hormonal disturbances in power supply. The control techniques was developed using system parameters and control systems were tested using Mat-lab/ Simulink and the results compared with DPFC.