通过以质量为导向的决策方法优先考虑微电网电池集成的客户和技术要求
Hasan Dinçer1,2, Serhat Yüksel1,2, Serkan Eti3
1The School of Business, İstanbul Medipol University, İstanbul, Turkey.
Scientific reports
|November 16, 2024
概括
本研究评估了客户对微电网系统中电池集成的期望和技术需求. 储能效率是客户的关键,而智能电池控制对于技术成功至关重要.
科学领域:
- 能源系统工程 能源系统工程
- 决策科学 决策科学 决策科学
- 人工智能的人工智能
背景情况:
- 微电网系统需要高效的电池集成以实现最佳性能.
- 了解客户期望和技术要求对于成功实施电池至关重要.
研究的目的:
- 评估关键的客户期望和技术能力,用于微电网中的电池集成.
- 引入和应用新的决策方法来进行优先级分析.
主要方法:
- 使用正弦三角法毕达哥拉斯模糊 (STPYF) 决策试验和评估实验室 (DEMATEL) 进行标准权重.
- 开发并应用了"通过几何平均相似度比率与最佳解决方案的排名技术" (RATGOS) 来排名技术要求.
- 集成的STPYF套件使用了新的RATGOS方法.
主要成果:
- 确定储能效率是最关键的客户期望.
- 智能电池控制系统被列为微电网性能最重要的技术要求.
- 证实了拟议模型的发现与以前的研究一致.
结论:
- 优先考虑储能效率和智能电池控制对于有效的微电网电池集成至关重要.
- 该研究强调了战略电池选择,技术基础设施和网络安全的重要性.
- 新的RATGOS方法提供了方法的独创性,并有助于理解因果关系.
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