考虑电网损耗和电压稳定性的配电网综合节能规划算法

徐华泽, 黄霆, 袁健华, 钱凌寒

自动化技术与应用 ›› 2026, Vol. 45 ›› Issue (6) : 173 -177.

PDF (1947KB)
自动化技术与应用 ›› 2026, Vol. 45 ›› Issue (6) : 173 -177. DOI: 10.20033/j.1003-7241.(2026)06-0173-05
行业应用与交流

考虑电网损耗和电压稳定性的配电网综合节能规划算法

    徐华泽, 黄霆, 袁健华, 钱凌寒
作者信息 +

Comprehensive energy-saving planning algorithm for distribution networks considering power grid losses and voltage stability

    Xu Huaze, Huang Ting, Yuan Jianhua, Qian Linghan
Author information +
文章历史 +
PDF (1992K)

摘要

针对配电网节能规划中电网损耗与电压稳定性挑战日益凸显的问题,研究旨在提出一种能够兼顾降低网损与提升电压稳定性的综合节能规划算法。通过优化配电网的有功和无功功率协调控制,减少能量损耗并改善电压分布,以提高能源利用效率和供电可靠性。研究构建了以有功损耗最小化和电压偏差最小化为目标的储能优化模型,进而设计了一种综合考虑有功无功协调优化、并增强多种约束条件的节能规划算法。结果显示通过设计算法进行节能规划其控制误差的最小值和最大值分别为0.12、0.15证明了其控制功率输出方面稳定性和精确率较高。不同的干扰项下通过设计算法协调规划所耗费的时间范围为3~8 s证明其提高了配电网协调规划的效率。以上结果证明了设计算法的有效性对于实现可持续能源发展和节能减排具有积极的促进作用。

Abstract

Addressing the increasingly prominent challenges of grid losses and voltage stability in distribution network energy-saving planning, this study aims to propose a comprehensive energy-saving planning algorithm that can simultaneously reduce grid losses and improve voltage stability. By optimizing the coordinated control of active and reactive power in the distribution network, energy losses are reduced and voltage distribution is improved, thereby enhancing energy utilization efficiency and power supply reliability. This study constructs an energy storage optimization model with the objectives of minimizing active power losses and voltage deviations, and then designs an energy-saving planning algorithm that comprehensively considers the coordinated optimization of active and reactive power and enhances various constraints. The results show that the minimum and maximum control errors of energy-saving planning through the design algorithm are 0.12 and 0.15, respectively, proving its high stability and accuracy in controlling power output. Under different interference conditions, the time range for coordinating planning through the design algorithm is 3 s-8 s, proving that it improves the efficiency of distribution network coordination planning. The above results demonstrate the effectiveness of the design algorithm, which has a positive promoting effect on achieving sustainable energy development and energy conservation and emission reduction.

关键词

配电网 / 电网损耗 / 电压稳定性 / 节能规划 / 模型 / 算法

Key words

distribution network / power grid losses / voltage stability / energy saving planning / model / algorithm

引用本文

引用格式 ▾
徐华泽, 黄霆, 袁健华, 钱凌寒. 考虑电网损耗和电压稳定性的配电网综合节能规划算法[J]. 自动化技术与应用, 2026, 45(6): 173-177 DOI:10.20033/j.1003-7241.(2026)06-0173-05

登录浏览全文

4963

注册一个新账户 忘记密码

参考文献

[1] 李练兵, 张凯宁, 曾四鸣, 等. 基于APDE算法的配电网分布式电源承载力评估[J]. 太阳能学报, 2023, 44(11):55-63.
[2] 闫丽梅, 赵奕岚, 赵书琪. 基于改进人工蜂鸟算法的微电网优化调度[J]. 计算机测量与控制, 2026, 34(03):177-185.
[3] 崔纪民, 杨素民, 张栋生, 等. 需求响应下的微电网储能容量分布鲁棒规划方法[J]. 自动化技术与应用, 2025, 44(9):54-58.
[4] Tolba M A, Houssein E H, Eisa A A, et al. Optimizing the distributed generators integration in electrical distribution networks: Efficient modified forensic-based investigation[J]. Neural Computing and Applications, 2023, 35(11):8307-8342.
[5] 王光增, 华献宏, 柴志华, 等. 基于改进型蚁群算法实现配电网无功功率最佳补偿点分析[J]. 计算机测量与控制, 2021, 29 (2): 207-211.
[6] 朱建昆, 高红均, 贺帅佳, 等. 考虑VSC与光-储-充协同配置的交直流混合配电网规划[J]. 智慧电力, 2023, 51(11):7-14.
[7] 岳宝强, 袁森, 彭静, 等. 基于自然语言处理技术的智能配电网调度优化方法研究[J]. 微型电脑应用, 2023, 39(11):55-59.
[8] 杨胡萍, 李晓馨, 曹正东, 等. 考虑风光的两阶段配电网动态重构方法[J]. 电力系统保护与控制, 2023, 51(21):12-21.
[9] Knapp H, Romagnoli G. RFID systems optimisation through the use of a new RFID network planning algorithm to support the design of receiving gates[J]. Journal of Intelligent Manufacturing, 2023, 34(3):1389-1407.
[10] 杨欣, 施天成, 吴晓鸣, 等. 平衡约束下的光伏并网复合储能自动规划系统设计[J]. 自动化技术与应用, 2025, 44(5):150-154.
[11] 付林, 彭珍, 郭文斌. 考虑系统频率响应特征的配电网综合优化规划[J]. 微型电脑应用, 2022, 38(3):117-119.
[12] 乐健, 郎红科, 廖小兵, 等. 基于广义线性多面体的有源配电网仿射可调鲁棒优化方法[J]. 电力系统自动化, 2023, 47(22): 138-148.

基金资助

江苏省国网科技项目(J2023100)

AI Summary AI Mindmap
PDF (1947KB)

74

访问

0

被引

详细

导航
相关文章

AI思维导图

/