An optimal hybrid control scheme to achieve power quality enhancement in micro grid connected system

In this manuscript, a novel control scheme is proposed to achieve the power quality (PQ) enhancement of renewable energy sources (RES), such as photovoltaic (PV), wind turbine (WT), fuel cell (FC), and battery. The proposed hybrid technique is the consolidation of both the Improved Bat Algorithm (IBat) and Moth Flame Optimization Algorithm (MFOA), therefore it is known as Improved Bat search Algorithm with Moth Flame Optimization Algorithm (IBatMFOA) control strategy. The crossover and mutation function is utilized to modify the bats search behavior function. Here, MFOA is utilized to enhance the searching behavior of IBat technique by reducing the error function. The main goal of proposed IBatMFOA approach is to enhance the PQ depending on active with reactive power varience. To attain the target, MFOA is optimized to lessen the power variation. Moreover, the functioning cost of RESs is diminished based on daily with weekly data forecast, like grid electricity price, electrical load, environmental parameters. By using IBatMFOA technique, the entire system efficiency is enhanced. By then, the proposed method is activated in MATLAB site, then the performance is examined with existing methods, like artificial bee colony, Gravitational Search Algorithm, and Firefly algorithm. The active power controller parameters of proposed technique are 8.8554 and 1.8569. The reactive power controller parameters of proposed technique are 8.1657 and 1.5698.

Automated summary

In this manuscript, a novel control scheme, known as Improved Bat search Algorithm with Moth Flame Optimization Algorithm (IBatMFOA), is proposed to enhance the power quality of renewable energy sources. The proposed method combines the Improved Bat Algorithm and Moth Flame Optimization Algorithm to improve the efficiency of the system. By reducing power variation and optimizing the operation cost, the proposed technique achieves a better power quality for renewable energy sources.