Economic Load Dispatch of a Grid-Tied DC Microgrid Using the Interior Search Algorithm

Kamil Khan, Ahmad Kamal, Abdul Basit, Tanvir Ahmad, Haider Ali and Anwar Ali
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Kamil Khan: US Pakistan Centre for Advanced Studies in Energy, UET Peshawar 25000, Pakistan
Ahmad Kamal: US Pakistan Centre for Advanced Studies in Energy, UET Peshawar 25000, Pakistan
Abdul Basit: US Pakistan Centre for Advanced Studies in Energy, UET Peshawar 25000, Pakistan
Tanvir Ahmad: US Pakistan Centre for Advanced Studies in Energy, UET Peshawar 25000, Pakistan
Haider Ali: Department of Electrical and Electronic Engineering Technology, UOT Nowshera 24100, Pakistan
Anwar Ali: School of Information Science and Technology, Zhejiang Sci-Tech University, Hangzhou 310018, China

Energies, 2019, vol. 12, issue 4, 1-13

Abstract: This paper presents the effectiveness of the interior search algorithm in economic power scheduling of a grid-tied DC microgrid with renewable generation (wind and photovoltaic) and battery energy storage. The study presents the modelling and simulation of various DC/DC converters for tracking maximum power from wind and photovoltaic sources and the bidirectional power flow of battery energy storage. The DC microgrid and its controllers were modelled and simulated in MATLAB/Simulink. The generating units were dispatched economically using the interior search algorithm with the objective to minimize the operating cost of the microgrid. The simulated results verify the effectiveness of the interior search algorithm as the daily cost of microgrid operation was reduced by 11.25%.

Keywords: DC microgrid; interior search algorithm (ISA); maximum power point tracking (MPPT); photovoltaic system; wind energy system; battery energy storage (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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