Optimizing the Size of Autonomous Hybrid Microgrids with Regard to Load Shifting

Alexander Lavrik, Yuri Zhukovskiy and Pavel Tcvetkov
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Alexander Lavrik: Department of Electrical Engineering, Saint Petersburg Mining University, 2 21st Line, 199106 Saint Petersburg, Russia
Yuri Zhukovskiy: Department of Electrical Engineering, Saint Petersburg Mining University, 2 21st Line, 199106 Saint Petersburg, Russia
Pavel Tcvetkov: Department of Economics, Organization and Management, Saint Petersburg Mining University, 2 21st Line, 199106 Saint Petersburg, Russia

Energies, 2021, vol. 14, issue 16, 1-19

Abstract: The article proposes a method of multipurpose optimization of the size of an autonomous hybrid energy system consisting of photovoltaic, wind, diesel, and battery energy storage systems, and including a load-shifting system. The classical iterative Gauss–Seidel method was applied to optimize the size of a hybrid energy system in a remote settlement on Sakhalin Island. As a result of the optimization according to the minimum net present value criterion, several optimal configurations corresponding to different component combinations were obtained. Several optimal configurations were also found, subject to a payback period constraint of 5, 6, and 7 years. Optimizing the size of the hybrid power system with electric load shifting showed that the share of the load not covered by renewable energy sources decreases by 1.25% and 2.1%, depending on the parameters of the load shifting model. Net present cost and payback period also decreased, other technical and economic indicators improved; however, CO 2 emissions increased due to the reduction in the energy storage system.

Keywords: renewable; demand response; wind turbine; photovoltaic system; storage; diesel (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: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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