主动负荷参与的低压台区三相负荷不平衡自动均衡方法

doi:10.11930/j.issn.1004-9649.202212040

摘要/Abstract

摘要：

为了解决三相负荷不平衡造成的损耗增加、供电质量降低等问题，提出主动负荷参与的低压台区三相负荷不平衡自动均衡方法。基于电力物联网高速载波技术采集低压台区的电表负荷数据，实时监测和收集负荷数据。设计了三相负荷不平衡均衡控制终端，并建立了目标函数。采用鸽群算法求解函数，实现低压台区三相负荷不平衡的自动均衡控制，具有良好控制效果。

关键词: 主动负荷, 数据填补, 换相控制, 低压台区

Abstract:

In order to solve the problems of increased losses and reduced power supply quality caused by unbalanced three-phase loads, an automatic equalization method for three-phase load unbalance in low-voltage stations involving active loads is proposed. Based on the high-speed carrier technology of the power Internet of Things, the meter load data of the low-voltage station area is collected, and the load data is monitored and collected in real time. A three-phase load imbalance equalization control terminal is designed and the objective function is established. The pigeon swarm algorithm is used to solve the function to achieve automatic balancing control of three-phase load imbalance in the low-voltage station area, which has good control effects.

Key words: active load, data filling, commutation control, low voltage substation area

胡志强, 叶远誉, 俞林刚, 伍栋文, 胡涛. 主动负荷参与的低压台区三相负荷不平衡自动均衡方法[J]. 中国电力, 2024, 57(2): 49-54.

Zhiqiang HU, Yuanyu YE, Lingang YU, Dongwen WU, Tao HU. Active Load Participation in Automatic Balancing of Three-Phase Load Imbalance in Low-Voltage Substation Areas[J]. Electric Power, 2024, 57(2): 49-54.

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链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202212040

https://www.electricpower.com.cn/CN/Y2024/V57/I2/49

图/表 6

图 1 控制终端

Fig.1 Control terminal

图 2 低压台区

Fig.2 Low voltage district

表 1 负荷支路数据

Table 1 Data of load branch

支路编号	无功功率/(kV·A)	相序	电压/V	电流/A
1	1.31	a	215	10
2	1.57	a	219	12
3	1.46	a	220	11
4	1.80	b	205	15
6	12.70	b	206	6
7	1.25	b	209	11
8	0.70	b	211	4
9	1.05	c	220	7
10	0.80	c	221	5

图 3 不均衡度

Fig.3 The degree of imbalance

图 4 所提方法频率偏差控制效果

Fig.4 The frequency deviation control effect of the proposed method

图 5 不同方法的电压稳定性测试结果

Fig.5 Results of voltage stability tests using different methods

参考文献 25

1	伍栋文, 于艾清, 俞林刚, 等. 基于ICS-K-means聚类算法和WNN的有源低压台区线损估算方法[J]. 智慧电力, 2022, 50 (4): 8- 14.
	WU Dongwen, YU Aiqing, YU Lingang, et al. Line loss estimation method based on ICS-K-means clustering algorithm and WNN for transformer district with DGs[J]. Smart Power, 2022, 50 (4): 8- 14.
2	李娟, 王玲, 孙康杰, 等. 考虑风电不确定性和有功无功联合调整的两阶段优化调度[J]. 东北电力大学学报, 2023, 43 (3): 72- 81.
	LI Juan, WANG Ling, SUN Kangjie, et al. Two-stage optimal dispatch considering uncertainty of wind power and joint regulaiton of active and reactive power[J]. Journal of Northeast Electric Power University, 2023, 43 (3): 72- 81.
3	宁昕, 王同勋, 陈涵, 等. 基于目标规划法的配电台区无功电压优化[J]. 电力电容器与无功补偿, 2022, 43 (3): 1- 7.
	NING Xin, WANG Tongxun, CHEN Han, et al. Reactive power voltage optimization of distribution network based on goal planning[J]. Power Capacitor & Reactive Power Compensation, 2022, 43 (3): 1- 7.
4	王灿, 吴耀文, 孙建军, 等. 基于柔性多状态开关的主动配电网双层负荷均衡方法[J]. 电力系统自动化, 2021, 45 (8): 77- 85.
	WANG Can, WU Yaowen, SUN Jianjun, et al. Bi-layer load balancing method in active distribution network based on flexible multi-state switch[J]. Automation of Electric Power Systems, 2021, 45 (8): 77- 85.
5	曹善康, 吴宇奇, 黎钊, 等. 公共阻抗突变及变流器本地负载接入下储能单元荷电状态均衡研究[J]. 中国电机工程学报, 2023, 43 (8): 2891- 2906.
	CAO Shankang, WU Yuqi, LI Zhao, et al. Study on balance of charge state of energy storage unit under common impedance mutation and local load access of converter[J]. Proceedings of the CSEE, 2023, 43 (8): 2891- 2906.
6	HURTADO-LANGE D, MAGULURI S T. Throughput and delay optimality of power-of-d choices in inhomogeneous load balancing systems[J]. Operations Research Letters, 2021, 49 (4): 616- 622. DOI
7	DELIRI S, VARESI K, SIWAKOTI Y P, et al. A boost type switched-capacitor multi-level inverter for renewable energy sources with Self-Voltage balancing of capacitors[J]. International Journal of Energy Research, 2021, 45 (10): 15217- 15230. DOI
8	王书博. 基于改进梯度下降法求解多元线性回归方程[J]. 数学的实践与认识, 2022, 52 (10): 167- 172.
	WANG Shubo. Solving multiple linear regression equation based on improved gradient descent method[J]. Mathematics in Practice and Theory, 2022, 52 (10): 167- 172.
9	赵春霞, 赵营颖. 基于多元回归KNN的网络数据库不完整信息填充[J]. 计算机仿真, 2021, 38 (8): 339- 343.
	ZHAO Chunxia, ZHAO Yingying. Incomplete information filling of network database based on multiple regression KNN[J]. Computer Simulation, 2021, 38 (8): 339- 343.
10	舒晨良, 王维庆, 王海云. 基于配电物联云边协同的换相开关控制策略[J]. 现代电子技术, 2022, 45 (24): 108- 112.
	SHU Chenliang, WANG Weiqing, WANG Haiyun. Phase-change switch control strategy based on cloud-edge collaboration of power distribution internet of things[J]. Modern Electronics Technique, 2022, 45 (24): 108- 112.
11	曹善康, 魏繁荣, 林湘宁, 等. 一种基于自适应电压限值的换相失败抑制策略[J]. 电力系统保护与控制, 2023, 51 (1): 165- 175.
	CAO Shankang, WEI Fanrong, LIN Xiangning, et al. A commutation failure suppression strategy based on adaptive voltage limits[J]. Power System Protection and Control, 2023, 51 (1): 165- 175.
12	马伏军, 匡德兴, 田雄, 等. 一种三相整流器的自然切换电流峰值控制策略[J]. 湖南大学学报(自然科学版), 2022, 49 (2): 169- 175.
	MA Fujun, KUANG Dexing, TIAN Xiong, et al. A natural switching current peak control strategy for three-phase rectifier[J]. Journal of Hunan University (Natural Sciences), 2022, 49 (2): 169- 175.
13	姚伟, 刘彦彦, 张玉良. 基于序电流的三相负荷不平衡度数学建模与度量分析[J]. 电力系统保护与控制, 2023, 51 (14): 34- 42.
	YAO Wei, LIU Yanyan, ZHANG Yuliang. Mathematical modeling and measurement analysis of three-phase load imbalance degree based on sequence current[J]. Power System Protection and Control, 2023, 51 (14): 34- 42.
14	郑在涛, 叶保璇, 钟康骅, 等. 基于预测滚动的有源低压配电网三相不平衡治理方法[J]. 电网与清洁能源, 2023, 39 (1): 29- 36.
	ZHENG Zaitao, YE Baoxuan, ZHONG Kanghua, et al. A predictive rolling-based three-phase unbalance management method of low-voltage active distribution network[J]. Power System and Clean Energy, 2023, 39 (1): 29- 36.
15	周纲, 黄瑞, 刘谋海, 等. 基于新型B-N窗和改进分区法的三相不平衡度检测[J]. 电测与仪表, 2023, 60 (10): 117- 123.
	ZHOU Gang, HUANG Rui, LIU Mouhai, et al. Three-phase imbalance factor detection based on novel B-N window and improved partition method[J]. Electrical Measurement & Instrumentation, 2023, 60 (10): 117- 123.
16	李红伟, 潘力, 韩璐, 等. 基于电压幅值对数变换的配电网三相不平衡线性潮流计算[J]. 中国电力, 2022, 55 (5): 143- 148.
	LI Hongwei, PAN Li, HAN Lu, et al. Three-phase unbalanced linear power flow calculation based on voltage magnitude logarithmic transformation[J]. Electric Power, 2022, 55 (5): 143- 148.
17	潘忠志, 孔宁, 王燕涛. 改进新能源消纳的配电网资源优化配置研究[J]. 东北电力大学学报, 2023, 43 (6): 71- 78.
	PAN Zhongzhi, KONG Ning, WANG Yantao. Joint optimal allocation method of energy-load-storage in power supplyarea to improve new energy consumption capacity[J]. Journal of Northeast Electric Power University, 2023, 43 (6): 71- 78.
18	TONG B D, CHEN L, DUAN H B. A path planning method for UAVs based on multi-objective pigeon-inspired optimisation and differential evolution[J]. International Journal of Bio-Inspired Computation, 2021, 17 (2): 105- 112. DOI
19	黄四亮, 孟湛博, 邢晓敏, 等. 考虑灾前预防和灾时响应状态下的弹性配电网提升策略研究[J]. 东北电力大学学报, 2023, 43 (4): 82- 89.
	HUANG Siliang, MENG Zhanbo, XING Xiaomin, et al. Consider the research on the improvement strategy of resilient distribution network under pre-disaster prevention and disaster response[J]. Journal of Northeast Electric Power University, 2023, 43 (4): 82- 89.
20	黄亚峰, 王浩天, 朱登宝, 等. 基于零序电流特性的中性点灵活接地系统的故障选线方法[J]. 东北电力大学学报, 2023, 43 (3): 16- 22, 71.
	HUANG Yafeng, WANG Haotian, ZHU Dengbao, et al. Fault line selection method for neutral flexible grounding system based on zero sequence current characteristics[J]. Journal of Northeast Electric Power University, 2023, 43 (3): 16- 22, 71.
21	SHEN Y K, DENG Y M. Pigeon-inspired optimisation algorithm with hierarchical topology and receding horizon control for multi-UAV formation[J]. International Journal of Bio-Inspired Computation, 2021, 18 (4): 239- 249. DOI
22	胡明月, 张慧芬, 苗淑平, 等. 基于改进鸽群算法的台区三相负荷不平衡相序调整方法[J]. 中国电力, 2022, 55 (9): 121- 128.
	HU Mingyue, ZHANG Huifen, MIAO Shuping, et al. Phase sequence adjustment method for three-phase load imbalance in station area based on improved pigeon-inspired optimization[J]. Electric Power, 2022, 55 (9): 121- 128.
23	崔焕庆, 张娜, 罗汉江. 基于改进鸽群算法的无线传感器网络定位方法[J]. 传感技术学报, 2022, 35 (3): 399- 404.
	CUI Huanqing, ZHANG Na, LUO Hanjiang. Localization of wireless sensor network based on modified pigeon inspired optimization[J]. Chinese Journal of Sensors and Actuators, 2022, 35 (3): 399- 404.
24	吴锋. 基于改进鸽群优化算法的入侵检测系统特征选择方法[J]. 西南师范大学学报(自然科学版), 2021, 46 (5): 140- 146.
	WU Feng. Feature selection method of intrusion detection system based on modified pigeon-inspired optimization algorithm[J]. Journal of Southwest China Normal University (Natural Science Edition), 2021, 46 (5): 140- 146.
25	向宏程, 邓亦敏, 段海滨. 基于探索群策略鸽群优化的高超声速飞行器飞/发一体化控制[J]. 智能系统学报, 2022, 17 (4): 849- 855.
	XIANG Hongcheng, DENG Yimin, DUAN Haibin. Integrated control of hypersonic aerial vehicle and engine system based on exploring swarm strategy based pigeon inspired optimization[J]. CAAI Transactions on Intelligent Systems, 2022, 17 (4): 849- 855.

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