风力涡轮机成本降低:风力系统的详细LCOE-Surface模型

2022 Second International Conference on Sustainable Mobility Applications, Renewables and Technology (SMART) Pub Date : 2022-11-23 DOI:10.1109/SMART55236.2022.9990386

Khadija El Kinani, S. L. Ballois, L. Vido

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引用次数: 0

摘要

本文的研究重点是风系统模型的开发。该模型的特殊之处在于它考虑了两个截然不同的标准:平准化能源成本(LCOE)和风电场占地面积。利用Matlab软件建立模型，利用多目标粒子群优化MOPSO算法使整个风系统所占表面积最小化，同时使LCOE最小化。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Wind Turbine Cost Reduction: a Detailed LCOE-Surface Model of a Wind System

The study presented in this paper focuses on the development of a wind system model. The particularity of this model is that it considers two distinct criteria: the Levelized Cost of Energy (LCOE) and the surface area occupied by wind farms. The model is developed using Matlab software and then a Multi-Objective Particle Swarm optimization MOPSO algorithm is used to minimize the surface area occupied by the entire modelled wind system, while minimizing the LCOE.

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2022 Second International Conference on Sustainable Mobility Applications, Renewables and Technology (SMART)

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