Load profile estimation in electric transmission networks using independent component analysis

Liao, Huaiwei; Niebur, D.

doi:10.1109/tpwrs.2003.811199

Cited by 55 publications

(2 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Because the variations of I u are related to the harmonic loads connected to the utility side, and the variations of I c are related to the harmonic loads connected to the customer side, the features of the harmonic source are same as the harmonic loads. The I u and I c can be divided into a fast-varying component and a slow-varying component by utilizing a linear filter [23]. The fast-varying components are considered statistically independent and have non-Gaussian distribution.…”

Section: Equivalent Model For Utility Harmonic Impedance Estimationmentioning

confidence: 99%

“…In [23], the author indicated that harmonic loads fluctuation can be divided into slow-varying components and fast-varying components using a linear filter, and the fast-varying components of loads are statistically independent and have non-Gaussian distribution. Based on these principles, in [21,22], utility harmonic impedance estimation methods based on independent component analysis have been proposed.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Method for Utility Harmonic Impedance Estimation Based on Constrained Complex Independent Component Analysis

et al. 2018

View full text Add to dashboard Cite

Utility harmonic impedance is an important parameter for harmonic mitigation. In this paper, a method for utility harmonic impedance estimation method based on constrained independent component analysis is proposed. The conventional impedance estimation method based on ComplexICA has two major problems: the algorithm is not suitable for separating weak and strong source mixed signals, and lots of sample data should be provided to avoid converging on a local optimum. To solve the two problems, the prior information of the utility harmonic source is added to the objective function of ComplexICA; in this paper, the measurement data at PCC when the load is shutdown are chosen as the prior information. Then the utility harmonic source signal can be recovered and the separated matrix can be obtained effectively. The connection between the utility harmonic source, utility harmonic impedance and the data at PCC are established using Norton equivalent circuit, and then the separation matrix is used to calculate utility harmonic impedance. The performance and feasibility of the proposed method are verified by the computer simulation and field test. Compared with the current ComplexICA method, the proposed method is more adaptive to changes in the background harmonic and the calculation result is more stable.

show abstract

Section: Equivalent Model For Utility Harmonic Impedance Estimationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Method for Utility Harmonic Impedance Estimation Based on Constrained Complex Independent Component Analysis

et al. 2018

View full text Add to dashboard Cite

show abstract

An impedance matrix constrained‐based method for harmonic emission level estimation

Zheng

Xiao

Wang

2020

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

Summary The harmonic impedances are important for both utility companies and their customers. The data have many uses, such as estimating harmonic emission levels, designing filters. Complex independent component analysis is a well‐accepted method for harmonic impedance estimation. However, a lack of data points for each calculation leads to wrong results. To increase the feasibility of this method, we proposed a constrained complex independent component analysis‐based method by adding the essential feature of the harmonic impedance matrix. Thus, the recovered source signals, which are highly consistent with the original source signals can be found when the data quantity for each calculation is little. The method has been verified using simulation studies and extensive field data. The results show that the proposed method can serve as a useful tool to support the harmonic impedance calculation task of utility companies and their customers.

show abstract

Blind source separation methods applied to evaluate harmonic contribution

Pereira

Silva

Santos

2021

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

Summary One of the greatest challenges found in power quality has been, and still is, the establishing of a reliable noninvasive method for quantifying the harmonic contributions of an electric utility and a consumer at the point of common coupling (PCC). This difficulty arises from the fact that the harmonic distortions measured on the PCC are unidentifiable mixtures from both parties. Currently, some work has focused on exploring the use of blind source separation (BSS) techniques to promote the sharing of harmonic responsibilities in a noninvasive way. However, the usage of this methodology is very recent and still requires thorough evaluations, not only from the point of view of the BSS techniques available in the literature, but also from the perspective of the electrical power systems and the nature of their loads. Thus, seeking to contribute to the consolidation of the use of BSS techniques in the sharing of harmonic responsibilities, this work aimed to investigate the impact of the variation of harmonic current sources on the accuracy of BSS methods. In addition, three algorithms suitable for complex‐valued signals were evaluated computationally and experimentally; the results obtained computationally were compared with the results of the method based on the covariance characteristic of the random vectors, and the experimental results was compared to that obtained through an invasive procedure.

show abstract

Load profile estimation in electric transmission networks using independent component analysis

Cited by 55 publications

References 19 publications

A Method for Utility Harmonic Impedance Estimation Based on Constrained Complex Independent Component Analysis

A Method for Utility Harmonic Impedance Estimation Based on Constrained Complex Independent Component Analysis

An impedance matrix constrained‐based method for harmonic emission level estimation

Blind source separation methods applied to evaluate harmonic contribution

Contact Info

Product

Resources

About