A Novel Control Scheme for Renewable Energy Sources to Power Quality Enhancement in Micro Grid System: An IBSMFO Technique
Anga Sai Lakshmi,  Naveenkumar Yarra
In this paper, a novel control scheme is proposed for power quality enhancement of renewable energy sources (RESs) with energy storage. The proposed control plan is the combined execution of Improved Bat Search Algorithm (IBSA) with Moth Flame Optimization Algorithm (MFOA) named as IBSMFO. Here, the searching behavior of the bats is modified by using the efficient neighborhood search functions like crossover and mutation. In the proposed approach, the MFOA has handled the searching behavior of the IBSA in perspective of the minimum error objective function. The objective of the proposed IBSMFO approach is to enhance the power quality as for the real and reactive power variations. To accomplish the objective, MFOA is optimized for minimizing the power variations and the operational cost of the RESs in light of weekly and daily prediction of data for grid electricity price, electrical load, and environmental parameters. The proposed IBSMFO procedure deals with the performance of energy storage components as far as the enhancement of power in the entire system. By at that point, the proposed model is executed in MATLAB/Simulink working stage and the execution is surveyed with the current procedures.
Keywords- Power Quality Enhancement (PHE), Microgrid, control scheme, IBSA, MFOA.
Cite this Article
Anga Sai Lakshmi,  Naveenkumar Yarra,   "A Novel Control Scheme for Renewable Energy Sources to Power Quality Enhancement in Micro Grid System: An IBSMFO Technique"
, International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.7, Issue 3, pp.227-241, July 2019, Available at :http://www.ijedr.org/papers/IJEDR1903040.pdf