With increasing electricity demand, conventional centralized power generation systems encounter numerous challenges, including transmission and distribution losses, limited capacity, and high operational costs. In response, distributed energy systems have emerged as a promising solution by enabling electricity generation in close proximity to consumption points. These systems leverage renewable energy sources and minimize energy losses during transmission, presenting a more sustainable and efficient alternative. By utilizing diverse energy sources such as solar thermal panels, photovoltaic systems, geothermal energy, distributed energy systems enhance overall efficiency, and reduce power losses during transmission as well as greenhouse gas emissions. This research endeavor presents a novel approach employing mixed-integer linear programming to optimize distributed energy systems. The proposed model facilitates the determination of optimal dimensions of technologies, including combined heat and power systems, boilers, electric chillers, and absorption chillers, while simultaneously minimizing total costs and greenhouse gas emissions and adhering to real-world constraints. The findings of this study are validated through a real-world numerical example, confirming the model’s efficiency in configuring and planning distributed energy systems optimally, thereby enhancing their operational performance.

中文翻译：

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考虑可再生能源的分布式能源系统优化配置与规划

随着电力需求的不断增加，传统的集中式发电系统面临着输配电损耗、容量有限、运营成本高等诸多挑战。为此，分布式能源系统已成为一种有前途的解决方案，可以在靠近消耗点的地方发电。这些系统利用可再生能源并最大限度地减少传输过程中的能量损失，从而提供了更可持续和更高效的替代方案。通过利用太阳能热板、光伏系统、地热能等多种能源，分布式能源系统提高了整体效率，减少了传输过程中的功率损耗以及温室气体排放。这项研究工作提出了一种采用混合整数线性规划来优化分布式能源系统的新颖方法。所提出的模型有助于确定技术的最佳规模，包括热电联产系统、锅炉、电制冷机和吸收式制冷机，同时最大限度地降低总成本和温室气体排放并遵守现实世界的限制。这项研究的结果通过现实世界的数值示例进行了验证，证实了该模型在优化配置和规划分布式能源系统方面的效率，从而提高了其运行性能。