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

Energies

Pavel Tcvetkov¹  Alexander Lavrik²  Yuri Zhukovskiy² 

[1] Department of Economics, Organization and Management, Saint Petersburg Mining University, 2 21st Line, 199106 Saint Petersburg, Russia;Department of Electrical Engineering, Saint Petersburg Mining University, 2 21st Line, 199106 Saint Petersburg, Russia;

关键词: renewable;    demand response;    wind turbine;    photovoltaic system;    storage;    diesel;   

DOI  :  10.3390/en14165059

来源: DOAJ

【 摘 要 】

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, CO₂ emissions increased due to the reduction in the energy storage system.

【 授权许可】

Unknown