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IH 2 OA based on intelligent power flow management of HRES in smart grid
Author(s) -
Palani Velmurugan,
Veeramani Vasan Prabhu,
Vengadakrishnan Krishnakumar,
Subbiah Sridharan
Publication year - 2021
Publication title -
international journal of energy research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.808
H-Index - 95
eISSN - 1099-114X
pISSN - 0363-907X
DOI - 10.1002/er.6917
Subject(s) - photovoltaic system , ac power , computer science , renewable energy , grid , power control , dynamic demand , engineering , automotive engineering , power (physics) , electrical engineering , voltage , physics , geometry , mathematics , quantum mechanics
Summary This manuscript proposes a hybrid strategy for power flow management under a smart grid system connected to a hybrid renewable energy system (HRES). The HRES is the combination of photovoltaic, wind turbine, fuel cell and energy storage system or battery. The proposed technique is the execution of the Integrated Harris Hawk Optimization algorithm (IH 2 OA). Here, Harris Hawk Optimization is the consolidation of crossover and mutation function, hence it is called IH 2 OA. Moreover, IH 2 OA is enhancing the voltage source inverter of control signals under the variation of power replace among source and load side. The numerous characteristics are made up of necessary grid active with reactive power variations created under the view of available power source. The IH 2 OA method ensures the location of control signals using parallel implementation as opposed to active with reactive power variation. In the IH 2 OA method, the control scheme‐based optimizes the power controller under the power flow variation. The proposed system performed on MATLAB/Simulink platform and the efficiency are compared with diverse existing techniques.