为远程消费者提供混合太阳能-电池-柴油动力系统的建模和优化
Na Zhao1,2, Liming Wang3, Chao Ding1,2
1College of Civil Engineering, Inner Mongolia University of Science and Technology, Baotou, 014010, Inner Mongolia, China.
Environmental science and pollution research international
|August 21, 2023
概括
这项研究优化了偏远地区的混合太阳能-电池-柴油动力系统. 与仅使用柴油发电机相比,混合动力系统提供了更好的经济和环境性能,尽管在可用性方面存在潜在的权衡.
科学领域:
- 可再生能源系统可再生能源系统
- 优化技术 优化技术
- 电力工程 电力工程
背景情况:
- 混合动力系统面临技术,经济和环境不确定性带来的挑战.
- 优化这些系统对于可靠和可持续的能源供应至关重要,特别是对于远程消费者.
- 传统的柴油发电机 (DG) 在远程应用中经常在效率和环境影响方面扎.
研究的目的:
- 为模拟和配置混合太阳能-电池-柴油动力结构提出有效的优化方法.
- 确定最佳的技术-经济-环境配置,以满足远程消费者的负载需求.
- 为了比较优化混合动力系统与传统柴油发电机的性能.
主要方法:
- 利用和搜索优化算法来解决复杂的优化问题.
- 为远程消费者量身定制的混合太阳能-电池-柴油动力系统建模.
- 使用每小时的气象数据和负载配置文件与仅使用柴油系统的模拟结果进行比较.
主要成果:
- 太阳能/电池/DG混合系统在各种不确定性级别中表现出优越的经济和环境适用性,而不是仅DG系统.
- 不确定性指数从0.5%增加到10%,导致最佳总成本下降了36.5%,但不可用性从0.2259%增加到9.9568%.
- 利率从1%提高到7%,导致总系统成本增加了大约17.4%.
结论:
- 混合太阳能-电池-柴油系统是远程消费者仅使用柴油发电机的更合适的替代方案,平衡成本和环境因素.
- 系统配置必须仔细考虑降低成本和在不同不确定性下增加不可用性之间的权衡.
- 利率等经济参数显著影响混合动力系统的整体成本效益.
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