Power System Evolutionary Planning Based on LHS-kmeans Method for Generating Future Load Scenarios

Zesen Wang, Xin Li, Ye Xia, Tianqi Zhao, X. Xia, Yu Li
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Abstract

Due to load fluctuations, it is difficult for the power system to completely rely on wind power to meet the load demand. Based on the use of LHS-Kmeans to obtain more accurate future load scenarios, the ieee6 node model is selected for power system planning and modeling for the next forty years, and Cplex is used to solve the future power system development results. The results show that although a large amount of wind power has been put into use and has grown year by year, it occupies a very high proportion of the overall power system. As the level of system fluctuations decreases, the proportion of thermal power output can be further reduced, but it still needs to be maintained at a certain level.
基于LHS-kmeans方法的电力系统未来负荷演化规划
由于负荷波动,电力系统很难完全依靠风电来满足负荷需求。在利用LHS-Kmeans获取更准确的未来负荷情景的基础上,选择ieee6节点模型进行未来四十年电力系统规划和建模,利用Cplex求解未来电力系统发展结果。结果表明,虽然风电已大量投入使用,且逐年增长,但在整个电力系统中所占比例非常高。随着系统波动水平的降低,火电输出的比例可以进一步降低,但仍需要维持在一定的水平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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