A low-carbon strategy using INVELOX turbines in the presence of real-time energy price uncertainty

This paper provides innovation in wind turbine (WT) technology and its advantages in microgrid planning. The microgrid in this work includes various renewable and nonrenewable resources. The proposed low-carbon strategy is implemented via two scenarios. In the first scenario, the uncertainty of selling and buying real-time energy prices is investigated with and without the standard and portable (increased velocity) INVELOX turbines. In the second scenario, the authors study the operation of the microgrid assuming the buying price is higher or lower than the selling price for all time intervals, as well as the first scenario assumption. This article considers the total cost of microgrids and environmental pollution as objective functions. Finally, the environmental-economic stochastic low-carbon strategy is modeled via mixed-integer linear programming; solving the problem using epsilon constraints and a fuzzy satisfying approach to select the best solution, respectively. By considering INVELOX WTs and portable INVELOX WTs, the cost reduction of the microgrid in the first and second scenarios is approximately 25%, and 64% higher than the conventional WTs, respectively. Additionally, a low-carbon model is proposed by considering INVELOX and its efficiency is successfully shown. (c) 2021 Society of Chemical Industry and John Wiley & Sons, Ltd.

Automated summary

This paper discusses the application of wind turbine technology in microgrid planning and proposes two scenarios for implementing low-carbon strategies. By using mixed-integer linear programming to model the environmental-economic stochastic low-carbon strategy and employing epsilon constraints and a fuzzy satisfying approach to select the best solution, the cost of the microgrid is successfully reduced.