The demand for energy is constantly increasing worldwide with the increase in population, globalization, and developing technology. The energy generated in the sustainability axis in the power plants is transmitted to the substations in the consumption regions and from there to the interconnected system with electricity transmission lines with available transfer capabilities (ATC). This shows the necessity of sustainability in transmission as well as generation. Although there are many studies in the literature to calculate and improve the ATCs of the lines, the cases of handling the transmission lines separately and ensuring the maximum energy flow in the whole network were not considered. In this context, an optimal solution approach to the problem is presented with the Ford–Fulkerson​ algorithm, which is often preferred in the applications of maximum flow problems due to its advantages but used for the first time in electricity transmission in this study. The proposed approach has been applied to the eleven-nodes network with a source node located in the generation zone and a target node located in the target, and the highest possible amount of energy flow was calculated considering the time complexity status of the algorithms in programming languages.

随着人口的增加、全球化和技术的发展，全球对能源的需求不断增加。在发电厂的可持续性轴上产生的能量被传输到消费地区的变电站，并从那里传输到具有可用传输能力 (ATC) 的输电线路的互连系统。这表明传输和发电的可持续性的必要性。虽然文献中有很多研究计算和改进线路的ATC，但没有考虑单独处理输电线路并保证全网最大能量流的情况。在这种情况下，Ford-Fulkerson 算法提出了该问题的最佳解决方案，由于其优点，它在最大流量问题的应用中通常是首选，但在本研究中首次用于电力传输。将所提出的方法应用于源节点位于生成区、目标节点位于目标节点的11节点网络，并考虑到算法在编程中的时间复杂度状况，计算出最大可能的能量流。语言。