通过柴油发电机运行和技术经济分析优化农村地区微电网能源的系统决策方法:印度尼西亚巴隆科技园案例研究

Adinda Prawitasari, Vetri Nurliyanti, Dannya Maharani Putri Utami, Eka Nurdiana, Kholid Akhmad, Prasetyo Aji, Suhraeni Syafei, Ifanda Ifanda, Iwa Garniwa Mulyana
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引用次数: 0

摘要

微电网系统是农村社区最可靠的能源供应技术的一部分,这些社区无法获得电力供应,但系统通常以柴油发电机(DG)为主。实施去柴油化计划以确保柴油机的高效运行,需要应对多种情况,例如以高昂的成本用 100% 的可再生能源完全取代柴油机。在采用经济可靠的微电网系统时,需要考虑设计和选择适当的配置以及运行模式。因此,本研究以印度尼西亚巴隆科技园(BTP)为案例,旨在为前沿、最外围和最不发达(3T)地区的微电网系统设计最佳配置和运行模式。优化是通过 HOMER 软件结合效益成本分析进行的,重点是每日负荷变化、控制算法的选择、供电系统的重新配置以及柴油发电机运行时间的设定。结果表明,在使用度假村负荷、24 kWp 光伏、288 kWh BESS、作为调度控制器的负荷跟踪(LF)和 25 kVa DG 的情况下,实现了最佳配置。此外,建议的微电网系统产生了 12% 的过剩能源、36% 的可再生部分 (RF)、每年减少 13.25 吨二氧化碳排放、每千瓦时 0.28 美元的 LCOE、250,478 美元的 NPC 以及 0.89 的效益成本比 (BCR)。与现有的系统配置相比,该系统的潜在能效节省率为 55.56%,成本效率为 20.95%。总之,研究表明,在 3T 地区的微电网系统中加入 DG 比仅使用光伏和电池更为理想。为提高射频和降低成本,还需要为 DG 制定有效的运行计划。此外,为了提高 3T 地区微电网系统的经济性,还可以引入其他比电池更便宜的储能设备。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A systematic decision-making approach to optimizing microgrid energy sources in rural areas through diesel generator operation and techno-economic analysis: A case study of Baron Technopark in Indonesia
Microgrid systems are part of the most reliable energy supply technologies for rural communities that do not have access to electricity but the system is generally dominated by diesel generators (DG). The implementation of de-dieselization programs to ensure efficient diesel operations requires addressing several scenarios such as the replacement of diesel completely with 100% renewable energy sources at a significant cost. The design and selection of appropriate configuration, as well as operating patterns, need to be considered in adopting economical and reliable microgrid systems. Therefore, this study aimed to design an optimal configuration and operational pattern for microgrid systems for the frontier, outermost, and least developed (3T) regions using Baron Techno Park (BTP) in Indonesia as a case study. The optimization was conducted through HOMER software combined with benefit-cost analysis and the focus was on daily load variations, selection of control algorithms, reconfiguration of the power supply system, and setting of the diesel generator operating hours. The results showed that the optimum configuration was achieved using loads of resort, 24 kWp of PV, 288 kWh of BESS, load-following (LF) as dispatch controller, and 25 kVa of DG. Moreover, the proposed microgrid system produced 12% excess energy, 36% renewable fraction (RF), 13.25 tons reduction in CO2 emissions per year, $0.28 LCOE per kWh, $250,478 NPC, and a benefit-cost ratio (BCR) of 0.89. It also had a potential energy efficiency savings of 55.56% and a cost efficiency of 20.95% compared to existing system configurations. In conclusion, the study showed that the addition of DG to microgrid systems in 3T areas was more optimal than using only PV and batteries. An effective operating schedule for the DG was also necessary to improve RF and reduce expenses. Furthermore, other energy storage devices considered less expensive than batteries could be introduced to improve the economics of microgrid systems in the 3T region.
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