Harmonic State Estimation Method Based on Bayesian Optimized Elastic Network Regression
When the regression algorithm is used to estimate the harmonic state of power system, the high correlation between harmonic sources will cause the ill condition of the normal matrix, which will significantly affect the accuracy of harmonic estimation. In order to accurately estimate the harmonic sta...
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| Format: | Article |
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State Grid Energy Research Institute
2022-08-01
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| Series: | Zhongguo dianli |
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| Online Access: | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202101017 |
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| author | Siqi MA Zhong WANG |
| author_facet | Siqi MA Zhong WANG |
| author_sort | Siqi MA |
| collection | DOAJ |
| description | When the regression algorithm is used to estimate the harmonic state of power system, the high correlation between harmonic sources will cause the ill condition of the normal matrix, which will significantly affect the accuracy of harmonic estimation. In order to accurately estimate the harmonic state of the power system, a harmonic state estimation method is proposed based on Bayesian optimization elastic network regression. Firstly, when the least square method is used to estimate the harmonic state, the weighted 1-norm and 2-norm are added to the penalty function at the same time; In addition, in order to estimate the harmonic state more efficiently and accurately, the Gaussian process and Bayesian optimization are applied to select the weight of 1-norm and 2-norm; Finally, the effectiveness of the proposed method is verified in IEEE14 node. When there is correlation between harmonic sources, the proposed method can still achieve reasonable harmonic source location and harmonic responsibility division. |
| format | Article |
| id | doaj-art-e784ba2e954249cfa93f013e19eef60e |
| institution | OA Journals |
| issn | 1004-9649 |
| language | zho |
| publishDate | 2022-08-01 |
| publisher | State Grid Energy Research Institute |
| record_format | Article |
| series | Zhongguo dianli |
| spelling | doaj-art-e784ba2e954249cfa93f013e19eef60e2025-08-20T02:04:29ZzhoState Grid Energy Research InstituteZhongguo dianli1004-96492022-08-0155810411210.11930/j.issn.1004-9649.202101017zgdl-54-12-masiqiHarmonic State Estimation Method Based on Bayesian Optimized Elastic Network RegressionSiqi MA0Zhong WANG1School of Electrical Engineering, Sichuan University, Chengdu 610065, ChinaSchool of Electrical Engineering, Sichuan University, Chengdu 610065, ChinaWhen the regression algorithm is used to estimate the harmonic state of power system, the high correlation between harmonic sources will cause the ill condition of the normal matrix, which will significantly affect the accuracy of harmonic estimation. In order to accurately estimate the harmonic state of the power system, a harmonic state estimation method is proposed based on Bayesian optimization elastic network regression. Firstly, when the least square method is used to estimate the harmonic state, the weighted 1-norm and 2-norm are added to the penalty function at the same time; In addition, in order to estimate the harmonic state more efficiently and accurately, the Gaussian process and Bayesian optimization are applied to select the weight of 1-norm and 2-norm; Finally, the effectiveness of the proposed method is verified in IEEE14 node. When there is correlation between harmonic sources, the proposed method can still achieve reasonable harmonic source location and harmonic responsibility division.https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202101017harmonic state estimationmulticollinearityelastic network regressionbayesian optimizationgaussian process |
| spellingShingle | Siqi MA Zhong WANG Harmonic State Estimation Method Based on Bayesian Optimized Elastic Network Regression Zhongguo dianli harmonic state estimation multicollinearity elastic network regression bayesian optimization gaussian process |
| title | Harmonic State Estimation Method Based on Bayesian Optimized Elastic Network Regression |
| title_full | Harmonic State Estimation Method Based on Bayesian Optimized Elastic Network Regression |
| title_fullStr | Harmonic State Estimation Method Based on Bayesian Optimized Elastic Network Regression |
| title_full_unstemmed | Harmonic State Estimation Method Based on Bayesian Optimized Elastic Network Regression |
| title_short | Harmonic State Estimation Method Based on Bayesian Optimized Elastic Network Regression |
| title_sort | harmonic state estimation method based on bayesian optimized elastic network regression |
| topic | harmonic state estimation multicollinearity elastic network regression bayesian optimization gaussian process |
| url | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202101017 |
| work_keys_str_mv | AT siqima harmonicstateestimationmethodbasedonbayesianoptimizedelasticnetworkregression AT zhongwang harmonicstateestimationmethodbasedonbayesianoptimizedelasticnetworkregression |