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. © 2021 Society of Chemical Industry and John Wiley & Sons, Ltd.

中文翻译：

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在存在实时能源价格不确定性的情况下使用 INVELOX 涡轮机的低碳战略

本文介绍了风力涡轮机 (WT) 技术的创新及其在微电网规划中的优势。这项工作中的微电网包括各种可再生和不可再生资源。拟议的低碳战略通过两种方案实施。在第一个场景中，研究了使用和不使用标准和便携式（速度增加）INVELOX 涡轮机时买卖实时能源价格的不确定性。在第二个场景中，作者研究了微电网的运行，假设所有时间间隔内的购买价格高于或低于销售价格，以及第一个场景假设。本文将微电网的总成本和环境污染作为目标函数。最后，环境经济随机低碳战略通过混合整数线性规划建模；分别使用 epsilon 约束和模糊满足方法来选择最佳解决方案来解决问题。通过考虑INVELOX WTs和便携式INVELOX WTs，在第一和第二场景中微电网的成本降低分别比传统WTs高约25%和64%。此外，通过考虑 INVELOX 提出了低碳模型，并成功展示了其效率。© 2021 化学工业协会和 John Wiley & Sons, Ltd. 微电网在第一种和第二种情景下的成本降低分别比传统 WT 高约 25% 和 64%。此外，通过考虑 INVELOX 提出了低碳模型，并成功展示了其效率。© 2021 化学工业协会和 John Wiley & Sons, Ltd. 微电网在第一种和第二种情景下的成本降低分别比传统 WT 高约 25% 和 64%。此外，通过考虑 INVELOX 提出了低碳模型，并成功展示了其效率。© 2021 化学工业协会和 John Wiley & Sons, Ltd.