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基于改进遗传退火算法的配电网路线协调规划方法

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为提高电力系统的整体效率及供电的可靠性和稳定性,满足不同地区和不同用户的电力需求,提出了基于改进遗传退火算法的配电网路线协调规划方法.首先,建立配电网路线布局模型,获取可用裕度较大的配电网路线布局方案;其次,基于时间序列,计算预测对象历史年时间序列数据的平均增长率,得出预测对象各年的负荷预测值;在此基础上,利用改进遗传退火算法,寻找最优解,实行配电网路线协调规划.实验结果表明,应用该方法后,配电网路线的覆盖率得到了显著提升,整体规划效果更好,能满足更多用户的需求,实现电力资源的合理分配和利用.
Modified Genetic Annealing Algorithm-based Coordinated Path Planning for Distribution Networks
In order to improve overall efficiency of power system and reliability and stability of power supply,and to satis-fy the needs for electricity consumption of different regions and users,a study on coordinated path planning of distribution networks based on modified genetic annealing algorithm was conducted.First the distribution network path layout was modelled to obtain a distribution network path layout scheme with a larger available margin.Second based on the time se-ries,the average growth rate of the historical year time series data of the predicted object was calculated,obtaining the predictive load values for each year.On that basis an improved genetic annealing algorithm is used to seek the optimal so-lution and implement coordinated path planning.The proposed method was proved by experiments capable of achieving significantly improved coverage of distribution network paths and better overall planning utility,and facilitating satisfaction of more users and rational allocation and utilization of power property.

modified genetic annealing algorithmdistribution networkpathcoordinationplanning

秦舒月

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国网湖北省电力有限公司谷城县供电公司,湖北 襄阳 441700

改进遗传退火算法 配电网 路线 协调 规划

2024

电工技术
重庆西南信息有限公司(原科技部西南信息中心)

电工技术

影响因子:0.177
ISSN:1002-1388
年,卷(期):2024.(9)
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