基于高频同步采集与边缘计算的低压配电网电气拓扑发现技术

doi:10.11959/j.issn.1000-0801.2020251

Abstract

Abstract:

Firstly,the current status of electrical topology discovery in low voltage distribution network was introduced,and then the high frequency synchronous acquisition and edge computing based electrical topology discovery in low voltage distribution network was proposed,including high-frequency synchronous data acquisition,Pearson correlation coefficient method for station area identification,analysis of mutual information between electric meters,generation of physical topology through spanning tree algorithm,and so on.Compared with other methods using pure software algorithm to realize topology discovery,the proposed method can not only ensure the simultaneity of data,but also reflect the changes of topology in time,which makes the judgment of electrical topology of low-voltage stations more accurate.

Key words: HPLC, data simultaneity, high frequency acquisition, relevance, electrical topology

CLC Number:

TP319

Xin LU,Anhui LENG,Shanshan MAO,Haimin HONG,Chun WANG. High frequency synchronous acquisition and edge computing based electrical topology discovery in low voltage distribution network[J]. Telecommunications Science, 2020, 36(8): 184-192.

Figures/Tables 6

电表编号	M01	M02	M03	M04	M05	M06	M07	M08	M09	M10	M11	M12	M13	M14	M15	M16	M17	M18	M19	M20	M21	M22	M23	M24	M25
M01	1.000	0.926	0.821	0.976	0.387	0.816	0.908	0.918	0.862	0.929	0.221	0.901	0.962	0.894	0.301	0.964	0.831	0.926	0.921	0.958	0.465	0.859	0.853	0.973	0.414
M02	0.926	1.000	0.885	0.830	0.465	0.892	0.835	0.910	0.897	0.960	0.321	0.922	0.953	0.892	0.334	0.890	0.967	0.854	0.843	0.834	0.602	0.831	0.864	0.901	0.641
M03	0.821	0.885	1.000	0.946	0.651	0.947	0.869	0.848	0.897	0.925	0.235	0.848	0.840	0.871	0.502	0.820	0.875	0.817	0.971	0.806	0.377	0.820	0.958	0.872	0.537
M04	0.976	0.830	0.946	1.000	0.279	0.877	0.972	0.894	0.921	0.857	0.362	0.945	0.881	0.887	0.439	0.815	0.810	0.888	0.907	0.741	0.409	0.867	0.980	0.819	0.519
M05	0.387	0.465	0.651	0.279	1.000	0.432	0.399	0.531	0.611	0.266	0.891	0.465	0.532	0.367	0.543	0.244	0.431	0.476	0.543	0.498	0.389	0.299	0.402	0.295	0.365
M06	0.816	0.892	0.947	0.877	0.432	1.000	0.882	0.861	0.914	0.919	0.356	0.864	0.973	0.951	0.512	0.970	0.894	0.936	0.840	0.815	0.503	0.819	0.979	0.860	0.706
M07	0.908	0.835	0.869	0.972	0.399	0.882	1.000	0.889	0.903	0.839	0.511	0.916	0.969	0.910	0.342	0.919	0.929	0.807	0.868	0.811	0.441	0.956	0.938	0.873	0.638
M08	0.918	0.910	0.848	0.894	0.531	0.861	0.889	1.000	0.875	0.962	0.398	0.833	0.885	0.916	0.601	0.963	0.910	0.913	0.920	0.900	0.378	0.740	0.897	0.836	0.488
M09	0.862	0.897	0.897	0.921	0.611	0.914	0.903	0.875	1.000	0.885	0.439	0.879	0.945	0.851	0.222	0.937	0.825	0.920	0.945	0.967	0.298	0.889	0.825	0.951	0.424
M10	0.929	0.960	0.925	0.857	0.266	0.919	0.839	0.962	0.885	1.000	0.456	0.915	0.914	0.892	0.405	0.949	0.963	0.835	0.936	0.995	0.365	0.784	0.763	0.860	0.710
M11	0.221	0.321	0.235	0.362	0.891	0.356	0.511	0.398	0.439	0.456	1.000	0.529	0.501	0.611	0.203	0.334	0.509	0.411	0.231	0.398	0.298	0.600	0.318	0.416	0.255
M12	0.901	0.922	0.848	0.945	0.465	0.864	0.916	0.833	0.879	0.915	0.529	1.000	0.975	0.843	0.331	0.858	0.939	0.961	0.953	0.749	0.541	0.880	0.731	0.982	0.609
M13	0.962	0.953	0.840	0.881	0.532	0.973	0.969	0.885	0.945	0.914	0.501	0.975	1.000	0.902	0.289	0.879	0.831	0.929	0.829	0.933	0.109	0.813	0.823	0.873	0.523
M14	0.894	0.892	0.871	0.887	0.367	0.951	0.910	0.916	0.851	0.892	0.611	0.843	0.902	1.000	0.407	0.917	0.900	0.893	0.825	0.941	0.335	0.795	0.842	0.922	0.432
M15	0.301	0.334	0.502	0.439	0.543	0.512	0.342	0.601	0.222	0.405	0.203	0.331	0.289	0.407	1.000	0.433	0.355	0.324	0.398	0.297	0.821	0.449	0.245	0.432	0.872
M16	0.964	0.890	0.820	0.815	0.244	0.970	0.919	0.963	0.937	0.949	0.334	0.858	0.879	0.917	0.433	1.000	0.955	0.944	0.871	0.741	0.521	0.930	0.860	0.889	0.598
M17	0.831	0.967	0.875	0.810	0.431	0.894	0.929	0.910	0.825	0.963	0.509	0.939	0.831	0.900	0.355	0.955	1.000	0.808	0.956	0.810	0.246	0.827	0.817	0.905	0.438
M18	0.926	0.854	0.817	0.888	0.476	0.936	0.807	0.913	0.920	0.835	0.411	0.961	0.929	0.893	0.324	0.944	0.808	1.000	0.724	0.778	0.325	0.906	0.874	0.979	0.514
M19	0.921	0.843	0.971	0.907	0.543	0.840	0.868	0.920	0.945	0.936	0.231	0.953	0.829	0.825	0.398	0.871	0.956	0.724	1.000	0.874	0.317	0.782	0.963	0.940	0.565
M20	0.958	0.834	0.806	0.741	0.498	0.815	0.811	0.900	0.967	0.995	0.398	0.749	0.933	0.941	0.297	0.741	0.810	0.778	0.874	1.000	0.402	0.780	0.929	0.917	0.723
M21	0.465	0.602	0.377	0.409	0.389	0.503	0.441	0.378	0.298	0.365	0.298	0.541	0.109	0.335	0.821	0.521	0.246	0.325	0.317	0.402	1.000	0.491	0.523	0.605	0.877
M22	0.859	0.831	0.820	0.867	0.299	0.819	0.956	0.740	0.889	0.784	0.600	0.880	0.813	0.795	0.449	0.930	0.827	0.906	0.782	0.780	0.491	1.000	0.907	0.797	0.663
M23	0.853	0.864	0.958	0.980	0.402	0.979	0.938	0.897	0.825	0.763	0.318	0.731	0.823	0.842	0.245	0.860	0.817	0.874	0.963	0.929	0.523	0.907	1.000	0.893	0.513
M24	0.973	0.901	0.872	0.819	0.295	0.860	0.873	0.836	0.951	0.860	0.416	0.982	0.873	0.922	0.432	0.889	0.905	0.979	0.940	0.917	0.605	0.797	0.893	1.000	0.410
M25	0.414	0.641	0.537	0.519	0.365	0.706	0.638	0.488	0.424	0.710	0.255	0.609	0.523	0.432	0.872	0.598	0.438	0.514	0.565	0.723	0.877	0.663	0.513	0.410	1.000

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范围	相关程度
0.0≤ρ≤0.2	无相关或极弱相关
0.2＜ρ≤0.4	弱相关
0.4＜ρ≤0.6	中等程度相关
0.6＜ρ≤0.8	强相关
0.8＜ρ≤1.0	极强相关

对比项	5	20	25	50	100	200
台区识别准确率	100%	100%	100%	100%	100%	100%
拓扑判断准确率	100%	100%	100%	98%	98%	98%

High frequency synchronous acquisition and edge computing based electrical topology discovery in low voltage distribution network

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