量子通信优化下配网系统日内多目标运行控制研究

钱浩; 董志会; 项俊栋; 郑杰文; 唐志鹏; 郭强

钱浩,董志会,项俊栋,郑杰文,唐志鹏,郭强.量子通信优化下配网系统日内多目标运行控制研究[J].电测与仪表,2025,62(2):107-116.
Qian Hao,Dong Zhihui,Xiang Jundong,Zheng Jiewen,Tang Zhipeng,Guo Qiang.Research on intra-day multi-objective operation control of distribution network system under quantum communication optimization[J].Electrical Measurement & Instrumentation,2025,62(2):107-116.

量子通信优化下配网系统日内多目标运行控制研究

Research on intra-day multi-objective operation control of distribution network system under quantum communication optimization

DOI：10.19753/j.issn1001-1390.2025.02.014

中文关键词: 改进帝国竞争算法遗传算法量子通信多目标协同模型

英文关键词:improved imperial competition algorithm, genetic algorithm, quantum communication, multi-objective collaborative model

基金项目:国网浙江省电力公司科技项目（YF220501)

作者中文名	作者英文名	单位
钱浩	Qian Hao	国网浙江省电力有限公司杭州市余杭区供电公司
董志会	Dong Zhihui	国网浙江省电力有限公司杭州市余杭区供电公司
项俊栋	Xiang Jundong	国网浙江省电力有限公司杭州市余杭区供电公司
郑杰文	Zheng Jiewen	国网浙江省电力有限公司杭州市余杭区供电公司
唐志鹏	Tang Zhipeng	杭州电力设备制造有限公司余杭群力成套电气制造分公司
郭强	Guo Qiang	杭州电力设备制造有限公司余杭群力成套电气制造分公司

摘要点击次数: 320

中文摘要:

量子态具有叠加的性质，即同一量子比特可以同时处于多个状态。这种叠加特性会导致配网系统的不确定性增加，难以准确控制配网系统中的状态变化，增加了能源损耗，降低了配网系统的整体性能。为此，提出了在量子通信优化下，针对配网系统日内多目标运行的方法。引入量子通信是其能够应对调度过程中的高不确定性、保障数据安全传输并提升调度效率。利用量子通信的高安全性、大容量传输和强抗干扰能力，解决传统通信方式在配电网调度中的局限性。该方法在计算功率损耗成本、协同控制投资成本及柔性负荷成本的基础上，构建了多目标协同优化模型。同时，考虑到量子通信的特性，建立了包括功率平衡、配网运行平衡、柔性负荷转移平衡及负荷波动等在内的约束条件，使模型能够更好地适应量子通信环境。为了求解这一多目标协同优化模型，将帝国竞争算法与遗传算法相结合，并引入了量子态概率的概念。通过遗传算法的交叉操作改进帝国竞争算法的种群进化和基因组合过程，从而避免陷入局部最优解，实现量子通信配网系统的优化协同控制。在仿真测试中，针对日内12小时的时间尺度，所提出的方法在应用中显著降低了配电网的功率损耗，使其低于50 kW，相比之下，现有研究方法的功率损耗则高于60 kW。同时，所提方法的配电网经济成本也较其他方法降低了50万元。这一结果表明，所提出的量子通信配网优化协同控制方法在提高系统经济性和稳定性方面效果显著，能够确保量子通信配网系统在日内时间尺度内的安全稳定运行。

英文摘要:

Quantum states have the property of superposition, meaning that the same quantum bit can be in multiple states simultaneously. This superposition characteristic will increase the uncertainty of the distribution network system, making it difficult to accurately control the state variations in distribution network system, increasing energy consumption, and reducing the overall performance of the distribution network system. Therefore, a method for multi-objective operation of distribution network systems during the day under quantum communication optimization is proposed. The introduction of quantum communication enables it to cope with high uncertainty in the scheduling process, ensure secure data transmission, and improve scheduling efficiency. By utilizing the high security, large capacity transmission, and strong anti-interference ability of quantum communication, we can solve the limitations of traditional communication methods in distribution network scheduling. On the basis of calculating power loss cost, collaborative control investment cost, and flexible load cost, this method constructs a multi-objective collaborative optimization model. At the same time, considering the characteristics of quantum communication, constraints including power balance, distribution network operation balance, flexible load transfer balance, and load fluctuation are established to better adapt the model to the quantum communication environment. In order to solve this multi-objective collaborative optimization model, the imperial competition algorithm is combined with genetic algorithm, and the concept of quantum state probability is introduced. By improving the population evolution and gene combination process of the imperial competition algorithm through cross operation of genetic algorithm, we can avoid getting stuck in local optima and achieve optimized collaborative control of quantum communication distribution network system. In simulation testing, the proposed method significantly reduced the power loss of the distribution network at a time scale of 12 hours per day, making it below 50 kW. In contrast, the power loss of existing research methods is higher than 60 kW. Meanwhile, the economic cost of the proposed method for the distribution network has also been reduced by CNY 500000 compared to other methods. This result indicates that the proposed quantum communication distribution network optimization collaborative control method has a significant effect on improving system economy and stability, which can ensure the safe and stable operation of the quantum communication distribution network system within the intra-day time scale.

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