基于改进聚类的输电线路参数多代理辨识与估计

摘要/Abstract

摘要：

提出一种对线路参数的多断面计算结果聚类来辨识可疑参数同时定位不良量测的方法,进而给出一种对可疑参数及不良量测修正的方法,得到偏差较小的近似值。利用这些值进行增广状态估计,改善其收敛性及结果的可靠性。从物理连接、电气连接和实际传输关系三方面分析,并采用博弈论获取电网节点的综合相关度,避免残差污染和残差淹没,进一步提高估计结果的准确度。结合多代理理论,将每条线路作为一个支路代理（AG）,实现可疑参数的辨识、修正及不良量测的定位、修正,设置协调代理（CAG）完成参数估计,支路AG与CAG协调修正,保证最终结果的可靠性。最后,以我国某中等城市实际输电网为例进行仿真分析,结果表明了所提方法的可行性及有效性。

关键词: 改进聚类, 参数辨识, 量测定位, 节点综合相关度, 增广状态估计, 多代理

Abstract:

A method of identifying suspicious parameters and positing bad data by clustering multi-section calculation of parameters is proposed. Based on this, a method of correcting suspicious parameters and bad data is proposed to obtain approximations with less deviation. By utilizing these data, both performance of convergence and results reliability of augmented state estimation are improved. The comprehensive relevance is got by means of analyzing three aspects of physical connection, electrical connection and power transmission and adopting game theory. It can become the basis of avoiding residual contamination and residual flooded, as a result to further improve the determination accuracy. To enhance efficiency, multi-agent theory is introduced to achieve the performance required above. Every branch is regard as a branch agent (AG), to achieve identification and correction of suspicious parameters and position and correction of bad data. Coordination agent (CAG) is set to achieve parameters estimation. Branch AG and CAG scheme and amend to guarantee reliability of final results. Finally, the simulation analysis of actual transmission network of a medium-sized city in our country has been given to show the feasibility and effectiveness of the proposed method.

Key words: Improved clustering, parameter identification, bad data position, nodes comprehensive relevance, augmented state estimation, multi-agent

中图分类号:

TM744

卢志刚,陈月敏. 基于改进聚类的输电线路参数多代理辨识与估计[J]. 电气工程学报, 2015, 10(4): 70-81.

Lu Zhigang,Chen Yuemin. Multi-agent Identification and Estimation of Transmission Line Parameters Based on Improved Clustering[J]. Journal of Electrical Engineering, 2015, 10(4): 70-81.

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参考文献 24

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粒计算聚类结果	聚类中心	月样本断面数	与聚类中心最相似的断面数	可归类的断面数
1	1 198	216	8	7
2	1 618	192	6	6
3	1 761	173	5	5
4	1 323	156	4	3
5	1 016	161	5	5
6	2 420	196	6	5
7	1 777	177	5	4
8	1 429	138	4	3
9	521	136	4	4
10	2 178	145	4	4
11	862	156	6	5
12	697	139	3	3
13	1 588	124	5	5
14	2 366	144	6	5
15	1 806	104	4	4
16	473	122	4	4
17	1 835	96	3	3
18	2 622	118	4	4
19	1 478	86	3	3
20	2 059	104	4	3
21	406	72	3	2
22	1 158	21	—	—
合计	可以归类的断面总数			87

线路编号		参数真值	给定铭牌值
3	X/Ω	4.506 5	4.218 1
19	R/Ω	0.568 5	0.877 3
19	X/Ω	3.252 1	3.489 2
28	R/Ω	0.698 4	0.498 1
	X/Ω	4.939 7	5.153 3
	B/(10^-4S)	0.830 1	3.213
34	X/Ω	10.255 4	10.049 1
34	B/(10^-4S)	1.688 5	4.357 4

线路编号	时刻	相关支路AG 存在错误	P₁/MW	Q₁/Mvar	U₁/kV
线路编号	时刻	相关支路AG 存在错误	P₂/MW	Q₂/Mvar	U₂/kV
2	5	否	160.496 215	8.010 114	223.49
2	5	否	160.172 338	7.989 906	223.25
2	21	否	174.674 944	37.981 527	223.08
2	21	否	174.273 315	37.216 937	223.29
3	35	否	242.512 257	17.581 242	226.71
3	35	否	241.794 054	15.729 693	225.71
3	36	是	242.512 249	17.581 221	226.71
3	36	是	241.794 011	15.729 687	225.71
4	90	是	257.001 90	0.470 337	226.74
4	90	是	255.988 63	2.831 57	225.88
5	69	是	256.430 10	24.380 611	225.77
5	69	是	256.277 94	24.648 329	225.72
9	21	是	26.479 221	26.011 186	223.05
9	21	是	26.458 972	29.149 092	222.92
10	90	是	7.0274 55	31.011 706	223.79
10	90	是	7.018 997	33.867 914	223.35
10	21	是	30.344 966	35.484 401	223.29
10	21	是	30.327 471	37.888 235	222.72
14	59	否	134.554 124	4.400 775	223.76
14	59	否	134.371 277	3.993 922	223.52
15	36	否	87.137 219	58.004 137	227.84
15	36	否	87.052 143	54.997 688	225.51
17	90	是	29.198 704	16.648 655	223.37
17	90	是	29.184 702	19.829 521	223.32

节点	与其综合相关度大于0.6的节点
3-1	7-2
3-2	7-2、2-1
15-1	4-1、2-1、7-2
15-2	4-1、23-1

方法	迭代次数
Ⅰ	14
Ⅱ	7
Ⅲ	5