Open AccessPV power smoothing strategy based on HELES using energy storage system application: a simulation analysis in microgrids
Author(s) -
Jamroen Chaowanan,
Usaratniwart Ekasit,
Sirisukprasert Siriroj
Publication year - 2019
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
eISSN - 1752-1424
pISSN - 1752-1416
DOI - 10.1049/iet-rpg.2018.6165
Subject(s) - smoothing , microgrid , photovoltaic system , computer science , power (physics) , smoothness , state of charge , exponential smoothing , energy storage , control theory (sociology) , islanding , distributed generation , renewable energy , engineering , battery (electricity) , mathematics , electrical engineering , artificial intelligence , physics , quantum mechanics , computer vision , mathematical analysis , control (management)
With the rapid increase in photovoltaic (PV) power generation in microgrids, PV power fluctuations can initiate negative impacts on microgrid operations. This study presents a simulation analysis of PV power smoothing method based on hull enhanced linear exponential smoothing (HELES) technique using an energy storage system (ESS). The proposed method is employed to mitigate PV power fluctuations in microgrid systems. The ESS is allowed to charge and discharge for smoothing the PV output power based on a smoothing power reference provided by the HELES technique. The proposed method is investigated to acquire the smoothing performance considering smoothness and smoothing accuracy. In simulation analysis, the proposed method is analysed on the microgrid under both grid‐connected and islanding modes to obtain its dynamic performance. The simulation results demonstrate that the proposed method evidently offers superior smoothing performance compared with the existing methods. Accordingly, the smoothing accuracy is successfully improved, and the ESS capacity is significantly reduced by improving smoothing accuracy. Moreover, the smoothness is effective to mitigate PV power fluctuations by using the proposed method. Eventually, the dynamic performance can be satisfactorily improved, and state of charge variation is reduced and also conserved to be available for unexpected PV power fluctuations.