Optimization of Power Source Adapting to Renewable Energy Collected by Flexible DC

Yumeng Zhang, Yuzhu Zhao, Xiangyu Zhao, Yaowu Wu, Xianglu He, Xing Chen, Chongtao Bai
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引用次数: 0

Abstract

In view of the consumption problem caused by the large-scale development of renewable energy in northwest China, an optimization model of matching power source for sending-end system is proposed, which is suitable for wide area renewable energy collected by flexible DC system. The complexity analysis and solution method of the model are also given. Based on bi-level programming, the model combines planning and operation of thermal power system in two different time scales. Finally, simulation results of the modified IEEE 30-bus system have verified the effectiveness of the proposed model. The research shows that the optimization model can realize matching power planning to improve the renewable energy consumption rate, and is suitable for the application scenario of high-voltage DC power grid at sending-end system.
适应柔性直流可再生能源收集的电源优化
针对西北地区可再生能源大规模开发带来的用电问题,提出了一种适用于柔性直流系统广域采集可再生能源的发端系统匹配电源优化模型。给出了模型的复杂度分析和求解方法。该模型基于双层规划,将火电系统在两个不同时间尺度上的规划与运行相结合。最后,对改进后的IEEE 30总线系统进行了仿真,验证了该模型的有效性。研究表明,该优化模型能够实现匹配电力规划,提高可再生能源消纳率,适用于高压直流电网送端系统的应用场景。
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