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

• Published in: Energies
• Main Authors: Alexander Lavrik, Yuri Zhukovskiy, Pavel Tcvetkov
• Format: Article in Journal/Newspaper
• Language: English
• Published: MDPI AG 2021
• Subjects: renewable; demand response; wind turbine; photovoltaic system; storage; diesel; Technology; T; Sakhalin
• Online Access: https://doi.org/10.3390/en14165059; https://doaj.org/article/c53b2d85e7a441238078afc8b65dff16

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.