周俊. 基于量子遗传算法的特高压新能源电网动态无功优化[J]. 东北电力技术, 2022, 43(9): 10-14,46.
引用本文: 周俊. 基于量子遗传算法的特高压新能源电网动态无功优化[J]. 东北电力技术, 2022, 43(9): 10-14,46.
ZHOU Jun. Dynamic Reactive Power Optimization of UHV New Energy Power Network Based on Quantum Genetic Algorithm[J]. Northeast Electric Power Technology, 2022, 43(9): 10-14,46.
Citation: ZHOU Jun. Dynamic Reactive Power Optimization of UHV New Energy Power Network Based on Quantum Genetic Algorithm[J]. Northeast Electric Power Technology, 2022, 43(9): 10-14,46.

基于量子遗传算法的特高压新能源电网动态无功优化

Dynamic Reactive Power Optimization of UHV New Energy Power Network Based on Quantum Genetic Algorithm

  • 摘要: 为解决当前大规模新能源入网后,交直流电网电压稳定裕度降低程度大以及特高压直流送端电网电压稳定控制能力欠缺严重的问题,开展特高压送端具备大量新能源电网动态无功配置策略研究,提出了基于量子遗传算法的动态无功优化策略。首先,进行交直流混合系统灵敏度分析,确定一种综合考虑稳态和暂态特性的动态无功配置评价指标;然后,建立基于该指标的特高压新能源电网动态无功模型,实现动态无功优化;最后,将该策略应用于实际电网,通过计算证明该策略具有实用性和有效性。

     

    Abstract: With the current large-scale new energy is connected to the grid,in order to solve the problems that the voltage stability margin of the AC/DC power grid is greatly reduced and the voltage stability control capability of the UHV DC system is insufficient,the dynamic reactive power allocation strategy for UHV system with a large amount of new energy is presented. Then a dynamic reactive power allocation strategy based on quantum genetic algorithm is proposed. Firstly,the sensitivity analysis of the AC-DC hybrid system is carried out,and a dynamic reactive power allocation evaluation index considering the steady and transient processes is determined.Then a dynamic reactive power allocation optimization model of UHV new energy system based on this index is established to realize dynamic reactive power optimization. At last,the proposed strategy is applied to the actual power grid,and the practicality and effectiveness of the strategy are proved by calculation.

     

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