用遗传算法建模HPS以满足牛场的电力需求
Osman Oz1, Mustafa Sahin2, Onur Akar3
1Department of Electrical and Electronic Engineering, University of Afyon Kocatepe, Afyonkarahisar, Turkey.
Heliyon
|June 29, 2023
概括
这项研究模拟了一种使用太阳能,风能和生物气的混合动力电力系统,以满足牛场的能源需求. 整合牛生物质可以提高可持续能源生产的可靠性.
科学领域:
- 农业工程 农业工程
- 可再生能源系统可再生能源系统
- 环境科学 环境科学
背景情况:
- 随着全球能源需求的增加,需要探索除化石燃料之外的新能源.
- 太阳能和风能等可再生能源 (RES) 是至关重要的,但间歇性的,需要可靠能源生产的解决方案.
- 混合动力系统 (HPS) 是通过整合多种能源来确保能源连续性的有希望的方法.
研究的目的:
- 模拟和分析一个混合动力系统 (HPS) 集成太阳能,风能和沼气,用于土耳其Afyonkarahisar的一家牛场.
- 通过将牛生物质 (生物气) 作为补充能源来提高HPS的可靠性.
- 在各种场景下评估HPS性能,考虑可持续能源,环境目标和经济参数.
主要方法:
- 开发一个HPS模型,结合太阳能,风能和沼气发电.
- 使用遗传算法 (GA) 来估计动物种群和负载值在二十年中的变化.
- 在不同的场景下对HPS模型进行模拟和分析,以评估其可行性和可持续性.
主要成果:
- 拟议的HPS模型有效地满足了牛场的电力需求.
- 牛生物质 (生物气) 的整合显著提高了HPS的可靠性和连续性.
- 该研究提供了对不同条件下的HPS经济可行性和环境效益的见解.
结论:
- 结合可再生能源和生物质的混合动力电力系统可满足农业能源需求.
- 在HPS中使用牛生物质有助于能源可持续性和环境保护.
- 开发的模型和分析为优化农村和农业环境中的能源解决方案提供了一个框架.
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