水淹环境下多源供电系统智能旁路环网箱及协同控制技术的研究与开发

Q2 Energy Energy Informatics Pub Date : 2024-12-30 DOI:10.1186/s42162-024-00438-9
Zhanhua Huang, Liang He
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引用次数: 0

摘要

随着城市化进程的加快,城市内涝问题日益严重,给电力系统的稳定和安全带来了新的困难。为此,设计了一种新型的防水圆形网箱,通过在洪水期间切换旁路来确保供电和保持电压稳定。改进的非支配排序遗传算法对多源供电系统进行了优化。这为洪水环境下的电力系统和多源电源协同控制提供了创新的解决方案。仿真实验表明,在轻度泛洪条件下,环形网笼的电压保持在400 V左右。在严重淹水的情况下,将环形网箱的电压切换到旁路备用电路,电压维持在220v左右。电流随负载变化而变化。基于改进的非支配排序遗传算法优化的多源供电系统综合运行成本最小为1453元。优化策略可以降低系统的不平衡功率,将可再生能源的利用率提高到90%以上。智能旁路网箱设计具有旁路自动切换、洪水时保持电压稳定的新特点。结合改进的非支配排序遗传算法对多源供电系统进行优化,可以显著降低运行成本,大大提高可再生能源的利用率。该研究为洪水环境下的电力系统提供了创新的解决方案,为多源电源协同控制技术提供了理论支持。
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Research and development of intelligent bypass ring net cage and collaborative control technology of multi-source power supply system in flooded environment

With the acceleration of urbanization, urban waterlogging has become increasingly serious, posing new difficulties to the stability and safety of the power system. Given this, a new type of waterproof circular net cage is designed to ensure power supply and maintain voltage stability by switching to a bypass during floods. The improved non-dominated sorting genetic algorithm optimizes multi-source power supply systems. This results in the provision of innovative solutions for power systems and multi-source power supply collaborative control in flooded environments. Simulation experiments have demonstrated that, under conditions of mild flooding, the voltage of the ring net cage remained at approximately 400 V. In the case of severe flooding, the voltage of the ring net cage was switched to the bypass backup circuit and the voltage was maintained at around 220 V. The current changed with the load. The minimum comprehensive operating cost of the multi-source power supply system optimized based on the improved non-dominated sorting genetic algorithm was 1,453 yuan. Optimization strategies could reduce the unbalanced power of the system and increase the utilization rate of renewable energy to over 90%. The intelligent bypass net cage design has new features of automatic switching of bypass and maintaining voltage stability during floods. Combining an improved non-dominated sorting genetic algorithm for optimizing multi-source power supply systems can significantly reduce operating costs and greatly improve the utilization of renewable energy. The study provides an innovative solution for power systems in flood environments and theoretical support for multi-source power supply collaborative control technology.

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来源期刊
Energy Informatics
Energy Informatics Computer Science-Computer Networks and Communications
CiteScore
5.50
自引率
0.00%
发文量
34
审稿时长
5 weeks
期刊最新文献
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