Suzhou Electric Appliance Research Institute
期刊号: CN32-1800/TM| ISSN1007-3175

SUBSCRIPTION MANAGEMENT

发行征订

首页 >> 发行征订 >> 征订方式

基于负荷分区的多时间尺度配电网无功优化

来源:电工电气发布时间:2025-06-27 13:27浏览次数:3

基于负荷分区的多时间尺度配电网无功优化

李宁1,万晓东2,王桂博3
(1 山东第一医科大学附属肿瘤医院,山东 济南 260000;
2 国网山东省电力公司莱西市供电公司,山东 莱西 266600;
3 国网山东省电力公司武城县供电公司,山东 德州 253300)
 
    摘 要:为提升配电网的经济性和安全性,充分运用离散补偿设备以及连续补偿设备来解决电压问题,同时通过日前以及日内这两个时间尺度相互协作优化,给出最终的设备控制决策。在日前优化中,引入负荷分区解决离散设备控制次数限制,并在日内优化中建立电压预测模型以优化连续设备控制。在 IEEE 33 系统进行算例仿真实验,结果表明,日内优化模型能够根据负荷变化进行适应性优化,大幅降低了电压波动,显著提高了电压控制水平。
    关键词: 分布式电源;无功优化;静止无功补偿器;多时间尺度;负荷分区
    中图分类号:TM714.3     文献标识码:A     文章编号:1007-3175(2025)06-0029-07
 
Multi-Time Scale Reactive Power Optimization of Distribution
Network Based on Load Partition
 
LI Ning1, WAN Xiao-dong2, WANG Gui-bo3
(1 Cancer Hospital of Shandong First Medical University, Jinan 260000, China;
2 State Grid Shandong Electric Power Company Laixi Power Supply Company, Laixi 266600, China;
3 State Grid Shandong Electric Power Company Wucheng Power Supply Company, Dezhou 253300, China)
 
    Abstract: To enhance the economy and security of distribution networks, discrete compensation devices and continuous compensation devices are fully utilized to address voltage issues. Meanwhile integrating day-ahead and intra-day time-scale coordination for optimal equipment control decisions. In the day-ahead optimization phase, load partitioning is introduced to address the operational frequency constraints of discrete devices. For intra-day optimization, a voltage prediction model is established to refine the control of continuous devices. Simulation experiments conducted on the IEEE 33-bus system demonstrate that the intra-day optimization model enables adaptive adjustments based on load variations, significantly reducing voltage fluctuations and improving voltage control performance.
    Key words: distributed generation; reactive power optimization; static var compensator; multi-time-scale; load partition
 
参考文献
[1] 杨帆,夏荣立,杨威. 碳达峰、碳中和背景下新能源发展趋势研究[J]. 中国工程咨询,2021(9) :22-26.
[2] 董昂,黄悦. 浅析传统电力系统无功优化的现状[J] .科技风,2019(36) :187.
[3] 李允昭,黄净,柏青,等. 分布式电源接入对配电网电压影响分析及其无功优化[J] . 电子设计工程,2019,27(24) :135-139.
[4] 刘梦依,邱晓燕,张志荣,等. 计及风光出力相关性的配电网多目标无功优化[J] . 电网技术,2020,44(5) :1892-1899.
[5] CAO Di, ZHAO Junbo, HU Weihao, et al.Deep Reinforcement Learning Enabled Physical-Model-Free Two-Timescale Voltage Control Method for Active Distribution Systems[J].IEEE Transactions on Smart Grid,2022,13(1) :149-165.
[6] 张立波,程浩忠,曾平良,等. 基于 Nataf 逆变换的概率潮流三点估计法[J] . 电工技术学报,2016,31(6) :187-194.
[7] 张沛,朱驻军,谢桦. 基于深度强化学习近端策略优化的电网无功优化方法[J] . 电网技术,2023,47(2) :562-570.
[8] DING Tao, LIU Shiyu, YUAN Wei, et al.A Two-Stage Robust Reactive Power Optimization Considering Uncertain Wind Power Integration in Active Distribution Networks[J].IEEE Transactions on Sustainable Energy,2016,7(1) :301-311.
[9] SONG H, LIU Z, CHEN X, et al.Research on Reactive Power Optimization and Voltage Control of Power Grid Based on Gravity Energy Storage Technology[C]//2022 International Conference on Computers, Information Processing and Advanced Education(CIPAE),2022 :21-25.
[10] ZHANG Cong, CHEN Haoyong, SHI Ke, et al.A Multi-Time Reactive Power Optimization Under Interval Uncertainty of Renewable Power Generation by an Interval Sequential Quadratic Programming Method[J].IEEE Transactions on Sustainable Energy,2019,10(3) :1086-1097.
[11] 颜湘武,徐韵. 考虑网络动态重构含多异质可再生分布式电源参与调控的配电网多时空尺度无功优化[J] .电工技术学报,2019,34(20) :4358-4372.
[12] 胡丹尔,彭勇刚,韦巍,等. 多时间尺度的配电网深度强化学习无功优化策略[J] . 中国电机工程学报,2022,42(14) :5034-5044.
[13] 杨亘烨,孙荣富,丁然,等. 计及光伏多状态调节能力的配电网多时间尺度电压优化[J] . 中国电力,2022,55(3) :105-114.
[14] CHEN S, WANG C, SHENG H, et al.Multi-Time Scale Active and Reactive Power Coordinated Optimal Dispatch in Active Distribution Network Based on Scenario Method[C]//2021 IEEE/IAS 57th Industrial and Commercial Power Systems Technical Conference(I & CPS),2021 :1-10.
[15] 秦佳倩,马瑞. 电-气耦合系统概率 Pareto 最大负荷裕度及灵敏度分析[J]. 电网技术,2019,43(1) :58-64.
[16] 李哲,李新生,杜岩. 基于粒子群算法的配网优化运行建模与仿真[J] . 电子设计工程,2022,30(18) :175-178.