基于改进Apriori算法的直流闭锁受端断面越限调整策略

doi:10.12204/j.issn.1000-7229.2020.09.011

电力建设 ›› 2020, Vol. 41 ›› Issue (9): 94-101.doi: 10.12204/j.issn.1000-7229.2020.09.011

基于改进Apriori算法的直流闭锁受端断面越限调整策略

郭凯¹^,², 韩昳¹^,², 王岩¹^,², 齐晓琳¹^,², 叶海峰³, 金宜放⁴, 马晓忱¹^,², 陶蕾¹^,²

1.电网安全与节能国家重点实验室,北京市100192
2.中国电力科学研究院有限公司,北京市 100192
3.国网安徽省电力有限公司,合肥市 230061
4.国网辽宁省电力有限公司,沈阳市 110006

收稿日期:2020-03-15 出版日期:2020-09-01 发布日期:2020-09-03
作者简介:郭凯(1995),男,硕士研究生,主要研究方向为大数据、电网调度自动化;|韩昳(1994),女,助理工程师,主要研究方向为电网调度自动化、调度员培训仿真;|王岩(1994),女,助理工程师,主要研究方向为调控大数据;|齐晓琳(1991),女,工程师,主要研究方向电网调度自动化、调度员培训仿真;|叶海峰(1978),男,高级工程师,主要研究方向为大数据、电网调度自动化,调控运行;|金宜放(1974),女,高级工程师,主要研究方向电网调度自动化;|马晓忱(1988),女,工程师,主要研究方向为调控大数据、电力系统自动化;|陶蕾(1989),女,工程师,主要研究方向为大数据、调控云平台。
基金资助:
国家电网公司科技项目“考虑密集输电通道灾害的大电网风险预警与辅助决策技术”(SGAH0000TKJS2000070)

Adjustment Strategies Based on Improved Apriori Algorithm for Overloaded Transmission Section in Receiving-End Power Grid Under UHVDC Blocking Fault

GUO Kai¹^,², HAN Yi¹^,², WANG Yan¹^,², QI Xiaolin¹^,², YE Haifeng³, JIN Yifang⁴, MA Xiaochen¹^,², TAO Lei¹^,²

1. State Key Laboratory of Power Grid Safety and Energy Conservation, Beijing 100192, China
2. China Electric Power Research Institute, Beijing 100192, China
3. State Grid Anhui Electric Power Co., Ltd., Hefei 230061, China
4. State Grid Liaoning Electric Power Supply Co., Ltd., Shenyang 110006, China

Received:2020-03-15 Online:2020-09-01 Published:2020-09-03
Supported by:
State Grid Corporation of China Research Program(SGAH0000TKJS2000070)

摘要/Abstract

摘要：

当发生特高压直流闭锁故障时,会实施一系列调控措施填补受端电网的功率缺额。针对一、二次调频之后存在的断面越限问题,提出了一种基于改进Apriori算法的断面越限调整策略。首先,采用动态潮流算法进行闭锁故障仿真,根据灵敏度方法对断面越限进行调整,再提取调整信息,经过数据处理,形成机组、负荷调整策略和断面状态变化情况数据库。然后,对Apriori算法进行改进,将前项约束为机组、负荷调整策略,后项约束为断面状态变化情况,通过关联分析得到调整策略与断面状态变化情况之间的强关联规则。最后,对锦苏直流闭锁故障进行仿真及关联分析来验证所提方法的有效性,结果表明,改进后的Apriori算法大大减少了无效规则的产生,通过关联分析可得到对断面调整有效的强关联规则,为电网的断面越限调整提供决策依据。

关键词: 直流闭锁故障, 断面越限, 改进Apriori算法, 调整策略

Abstract:

Once blocking fault occurs in large-capacity ultra-high-voltage direct current (UHVDC) transmission system, a series of control measures are implemented to fill the power shortage of the receiving-end power grid. Focus on the problem of overloaded transmission sections after primary and secondary frequency modulation, this paper proposes an overloaded-section adjustment strategy based on the improved Apriori algorithm. Firstly, the blocking fault is simulated by the dynamic power flow algorithm and the transmission sections are adjusted by sensitivity method. Then, the adjustment information is extracted. After data processing, the database of unit, load adjustment strategy and section state change is set up. The Apriori algorithm is improved that fore-part item-set is restricted to be the unit and load adjustment strategy and rear-part item-set is restricted to be the change of the section state. The strong association rules between the adjustment strategy and the change of the section state are analyzed by improved Apriori algorithm. Finally, the simulation results of Jinping-Suzhou DC fault and association analysis show that the improved Apriori algorithm greatly reduces the generation of invalid rules, and the strong association rules effective for section adjustment are extracted from association analysis, which provides decision-making basis for overloaded transmission section adjustment of the power grid.

Key words: DC blocking fault, transmission section overload, improved Apriori algorithm, adjustment strategy

中图分类号:

TM712

郭凯, 韩昳, 王岩, 齐晓琳, 叶海峰, 金宜放, 马晓忱, 陶蕾. 基于改进Apriori算法的直流闭锁受端断面越限调整策略[J]. 电力建设, 2020, 41(9): 94-101.

GUO Kai, HAN Yi, WANG Yan, QI Xiaolin, YE Haifeng, JIN Yifang, MA Xiaochen, TAO Lei. Adjustment Strategies Based on Improved Apriori Algorithm for Overloaded Transmission Section in Receiving-End Power Grid Under UHVDC Blocking Fault[J]. ELECTRIC POWER CONSTRUCTION, 2020, 41(9): 94-101.

图/表 9

图1 改进Apriori算法流程

Fig.1 Flow chart of improved Apriori algorithm

图2 关联分析流程

Fig.2 Flow chart of association analysis

图3 锦苏直流特高压直流输电系统受端近区

Fig.3 Receiving-end power grid of Jinping-Suzhou DC transmission system

图4 关联规则数目对比

Fig.4 Comparison of the number of association rules

表1 部分强关联规则

Table 1 Part of strong association rules

图5 不同数据库的置信度分布

Fig.5 Confidence distribution of different databases

表2 部分断面之间的关联规则

Table 2 Part of association rules between sections

表3 部分断面越限调整结果

Table 3 Part of adjustment results of overloaded sectionsMW

表4 部分石牌—车玉断面强关联规则

Table 4 Part of strong association rules of Shipai-Cheyu section

参考文献 24

[1]	张文亮, 于永清, 李光范 , 等. 特高压直流技术研究[J]. 中国电机工程学报, 2007,27(22):1-7.
	ZHANG Wenliang, YU Yongqing, LI Guangfan , et al. Researches on UHVDC technology[J]. Proceedings of the CSEE, 2007,27(22):1-7.
[2]	刘振亚, 张启平 . 国家电网发展模式研究[J]. 中国电机工程学报, 2013,33(7):1-10, 25.
	LIU Zhenya, ZHANG Qiping . Study on the development mode of national power grid of China[J]. Proceedings of the CSEE, 2013,33(7):1-10, 25.
[3]	李明节 . 大规模特高压交直流混联电网特性分析与运行控制[J]. 电网技术, 2016,40(4):985-991. doi: 10.13335/j.1000-3673.pst.2016.04.001 URL
	LI Mingjie . Characteristic analysis and operational control of large-scale hybrid UHV AC/DC power grids[J]. Power System Technology, 2016,40(4):985-991. doi: 10.13335/j.1000-3673.pst.2016.04.001 URL
[4]	张文亮, 周孝信, 郭剑波 , 等. ±1 000 kV特高压直流在我国电网应用的可行性研究[J]. 中国电机工程学报, 2007,27(28):1-5.
	ZHANG Wenliang, ZHOU Xiaoxin, GUO Jianbo , et al. Feasibility of ± 1 000 kV ultra HVDC in the power grid of China[J]. Proceedings of the CSEE, 2007,27(28):1-5.
[5]	王靖然, 王玉林, 杨志刚 , 等. 考虑嵌套断面约束的大规模集群风电有功控制策略[J]. 电力系统自动化, 2015,39(13):16-21.
	WANG Jingran, WANG Yulin, YANG Zhigang , et al. An active power control strategy for large-scale cluster of wind power considering constraints on nested transmission sections[J]. Automation of Electric Power Systems, 2015,39(13):16-21.
[6]	林毅, 林章岁, 巨云涛 , 等. 考虑静态安全约束的含MMC-HVDC交直流混合系统最优潮流计算方法[J]. 电网技术, 2017,41(9):2854-2861.
	LIN Yi, LIN Zhangsui, JU Yuntao , et al. A novel approach on security-constrained optimal power flow for hybrid AC/DC grids based on MMC-HVDC[J]. Power System Technology, 2017,41(9):2854-2861.
[7]	祁万春, 杨林, 宋鹏程 , 等. 南京西环网UPFC示范工程系统级控制策略研究[J]. 电网技术, 2016,40(1):92-96. doi: 10.13335/j.1000-3673.pst.2016.01.013 URL
	QI Wanchun, YANG Lin, SONG Pengcheng , et al. UPFC system control strategy research in Nanjing western power grid[J]. Power System Technology, 2016,40(1):92-96. doi: 10.13335/j.1000-3673.pst.2016.01.013 URL
[8]	钟贵和, 王星华, 甘德树 , 等. 输电断面的有功安全预防-校正负荷调整算法[J]. 电力系统保护与控制, 2014,42(16):15-20. doi: 10.7667/j.issn.1674-3415.2014.16.003 URL
	ZHONG Guihe, WANG Xinghua, GAN Deshu , et al. Load adjusted algorithm on active power prevention-correction of transmission section[J]. Power System Protection and Control, 2014,42(16):15-20. doi: 10.7667/j.issn.1674-3415.2014.16.003 URL
[9]	马明, 刘强, 沈凤杰 , 等. 输电设备过载与断面功率越限在线控制决策[J]. 电网与清洁能源, 2015,31(6):26-32.
	MA Ming, LIU Qiang, SHEN Fengjie , et al. On-line auxiliary decision-making for overload control of power transmission equipment and sections[J]. Power System and Clean Energy, 2015,31(6):26-32.
[10]	谭伟, 沈沉, 倪敬敏 , 等. 基于轨迹特征根的功率控制灵敏度分析及应用[J]. 电力系统自动化, 2010,34(18):1-5.
	TAN Wei, SHEN Chen, NI Jingmin , et al. Analysis and application of power control sensitivity based on trajectory eigenvalues[J]. Automation of Electric Power Systems, 2010,34(18):1-5.
[11]	牟颖, 张保会, 薄志谦 . 防止输电断面连锁过载的快速控制算法[J]. 电力系统自动化, 2017,41(3):39-45.
	MOU Ying, ZHANG Baohui, BO Zhiqian . Fast control algorithm for preventing cascading overload on transmission section[J]. Automation of Electric Power Systems, 2017,41(3):39-45.
[12]	王继业 . 智能电网大数据[M]. 北京: 中国电力出版社, 2017.
[13]	韩迎春, 童晓阳 . 利用时空电气量基于灰色关联度的电网故障诊断[J]. 电网技术, 2017,41(2):581-588.
	HAN Yingchun, TONG Xiaoyang . The power system fault diagnosis method based on gray relational degree using spacetime electric quantity[J]. Power System Technology, 2017,41(2):581-588.
[14]	谢龙君, 李黎, 程勇 , 等. 融合集对分析和关联规则的变压器故障诊断方法[J]. 中国电机工程学报, 2015,35(2):277-286. doi: 10.13334/j.0258-8013.pcsee.2015.02.003 URL
	XIE Longjun, LI Li, CHENG Yong , et al. A fault diagnosis method of power transformers by integrated set pair analysis and association rules[J]. Proceedings of the CSEE, 2015,35(2):277-286.
[15]	张义涛, 王泽忠, 刘丽平 , 等. 基于灰色关联分析和改进神经网络的10 kV配电网线损预测[J]. 电网技术, 2019,43(4):1404-1410.
	ZHANG Yitao, WANG Zezhong, LIU Liping , et al. A 10 kV distribution network line loss prediction method based on grey correlation analysis and improved artificial neural network[J]. Power System Technology, 2019,43(4):1404-1410.
[16]	于之虹, 黄彦浩, 鲁广明 , 等. 基于时间序列关联分析的稳定运行规则提取方法[J]. 中国电机工程学报, 2015,35(3):519-526. doi: 10.13334/j.0258-8013.pcsee.2015.03.003 URL
	YU Zhihong, HUANG Yanhao, LU Guangming , et al. A time series associative classification method for the operation rule extracting of transient stability[J]. Proceedings of the CSEE, 2015,35(3):519-526.
[17]	邓佑满, 黎辉, 张伯明 , 等. 电力系统有功安全校正策略的反向等量配对调整法[J]. 电力系统自动化, 1999,23(18):3-5.
	DENG Youman, LI Hui, ZHANG Boming , et al. Adjustment of equal and opposite quantitiesin pair s for strategyof active power security correction of power systems[J]. Automation of Electric Power Systems, 1999,23(18):3-5.
[18]	刘文颖, 徐鹏, 梁才 , 等. 一种计及交叉权重的有功校正控制算法[J]. 电工技术学报, 2014,29(8):281-288.
	LIU Wenying, XU Peng, LIANG Cai , et al. A new algorithm of active power correction control using cross-weight factor[J]. Transactions of China Electrotechnical Society, 2014,29(8):281-288.
[19]	AGRAWAL R , IMIELIŃSKI T, SWAMI A. Mining association rules between sets of items in large databases[C]//Proceedings of the 1993 ACM SIGMOD international conference on Management of data - SIGMOD’93. New York: ACM Press, 1993: 207-216.
[20]	冯玉才, 冯剑琳 . 关联规则的增量式更新算法[J]. 软件学报, 1998,9(4):3-5.
	FENG Yucai, FENG Jianlin . Incremental updating algorithms for mining association rules[J]. Journal of Software, 1998,9(4):3-5.
[21]	SRIKANT R, AGRAWAL R. Mining quantitative association rules in large relational tables[C]//Proceedings of the 1996 ACM SIGMOD international conference on Management of data - SIGMOD’96. New York: ACM Press, 1996: 1-12.
[22]	崔贯勋, 李梁, 王柯柯 , 等. 关联规则挖掘中Apriori算法的研究与改进[J]. 计算机应用, 2010,30(11):2952-2955.
	CUI Guanxun, LI Liang, WANG Keke , et al. Research and improvement on Apriori algorithm of association rule mining[J]. Journal of Computer Applications, 2010,30(11):2952-2955.
[23]	HARRINGTON P . Machine learning in action[M]. Westampton:Manning Publications, 2012.
[24]	顾雪平, 董金哲, 李少岩 . 网架重构过程中线路潮流越限消除的网络调整策略[J]. 电力系统自动化, 2016,40(7):16-21.
	GU Xueping, DONG Jinzhe, LI Shaoyan . Network adjustment strategy for eliminating transmission line overload in network reconfiguration[J]. Automation of Electric Power Systems, 2016,40(7):16-21.

基于改进Apriori算法的直流闭锁受端断面越限调整策略

Adjustment Strategies Based on Improved Apriori Algorithm for Overloaded Transmission Section in Receiving-End Power Grid Under UHVDC Blocking Fault

RichHTML

PDF

可视化

摘要/Abstract

引用本文

使用本文

图/表 9

参考文献 24

相关文章 4

编辑推荐

Metrics

本文评价

[1]	胡嘉凯, 蒋传文, 李磊. 用户侧利益主体虚拟电厂联盟行为及交易机制[J]. 电力建设, 2020, 41(9): 1-9.
[2]	姚建华, 胡晟, 王冠, 沈云, 姜林林, 冯宇立, 龚成亚, 张照轩, 柳伟. 基于强化学习的孤岛微电网多源协调频率控制方法[J]. 电力建设, 2020, 41(9): 69-75.
[3]	文春雷1 刘建军1 詹宏1 张宇1 魏燕1 周凯2 黄友聪2. 城市轻轨供电系统对公共电网电能质量的影响研究[J]. 电力建设, 2011, 32(8): 5-10.
[4]	廖敏杨晓楠栾洪洲高学敏. ±660kV直流输电工程换流阀结构设计[J]. 电力建设, 2011, 32(7): 16-20.