Open AccessA novel centralized energy management approach for power quality improvement
Author(s) -
Sahoo Buddhadeva,
Routray Sangram Keshari,
Rout Pravat Kumar
Publication year - 2021
Publication title -
international transactions on electrical energy systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.428
H-Index - 42
ISSN - 2050-7038
DOI - 10.1002/2050-7038.12582
Subject(s) - microgrid , power management , maximum power point tracking , dynamic demand , controller (irrigation) , distributed generation , power (physics) , engineering , computer science , energy storage , power control , fault (geology) , grid , electric power system , voltage , control theory (sociology) , renewable energy , inverter , electrical engineering , control (management) , physics , mathematics , quantum mechanics , agronomy , geometry , artificial intelligence , seismology , geology , biology
This manuscript proposes a novel centralized energy management approach (CEMA) for power quality (PQ) improvement in a solar‐battery based hybrid microgrid systems (HMSs) during both grid following and grid forming mode of operation. In the proposed HMS, a novel maximum power tracking algorithm based distributed generator control (DGC) is suggested to extract optimum power from the solar‐battery system and an energy storage control (ESC) is suggested to enhance the power transfer capability during power deficit/shortage conditions. Further, a voltage and frequency controller (VFC) is proposed to offer better coordination between the ac‐grid and dc‐grid, and improved the power quality of HMS. Moreover, the proposed CEMA smoothen the power and voltage flow of the inverter flexibly and HMS during uneven power generation, fault conditions, and consumer load demand. Even during the transition between two operating modes, CEMA also offers a stable voltage and frequency regulation for both ac and dc load. The proposed approach facilitates extra load integration without using an extra converter, degrading the power quality and cost. To test the performance of CEMA, the MATLAB environment‐based design HMS, and control model is tested during different operating conditions.