Two-Stage Clustering Approach for the Household Electricity Load Profiles by Fuzzy Logic and Neural Network Techniques

Uğur Buğra Etlik; Yavuz Eren

doi:10.29130/dubited.1009823

EN TR

Two-Stage Clustering Approach for the Household Electricity Load Profiles by Fuzzy Logic and Neural Network Techniques

Abstract

In this paper, household electricity load profile (LP) clustering problem is addressed. LP clustering analysis has been utilized as predicted end-user LPs for demand or supply management strategies to maintain the stability of the power systems. The consumption dynamics of the LPs are formed by the combinations of technical and social factors. Hence, discovering the dynamic patterns of the LPs has been a challenging problem. For this problem, we have offered successive applications of Sugeno fuzzy-logic (SFL) and self-organizing map neural network (SOMNN) techniques. Firstly, the data sets of the LPs are clustered by fuzzy logic approach by the reference models which are generated with the common family-types per persons. Then, considering the extra input of the weighted occupancy profiles, SOMNN is performed to improve the clustering result according to the dataset. The proposed strategy has been simulated by MATLAB® and the related results are presented.

Keywords

Clustering, Sugeno Fuzzy Logic, Self-Organizing Map Neural Network, Household Load Profiles

Evsel Elektriksel Yük Profilleri için Bulanık Mantık ve Yapay Sinir Ağları Teknikleri ile İki-Kademeli Kümeleme Yaklaşımı

Abstract

Bu çalışmada, evsel elektriksel yük profili (YP) kümeleme problemi ele alınmıştır. YP kümeleme analizleri ile güç sistemlerinin kararlılığını sağlamada yararlanılan talep veya arz yönetimi stratejilerinin icrasında gerekli olan tahmini son kullanıcı YP tiplerinin elde edilmesi sağlanabilmektedir. YP tüketim dinamikleri hem teknik hem de sosyal unsurların etkileri ile şekillenmektedir. Bu bakımdan, YP dinamik davranışını anlamlandırmak zor bir problemdir. Bu çalışmada, bahsedilen bu problemin çözümü için iki ayrı aşamada sırasıyla Sugeno bulanık- mantık (SBM) ve öz-düzenleyici haritalı yapay sinir ağları (ÖDHYSA) tekniklerinin uygulandığı çözüm önerilmiştir. İlk olarak, YP veri seti ev halkı sayısı temelli aile tipleri üzerinden modellenen referans yük tipleri dikkate alınarak SBM tekniği ile sınıflandırılmıştır. Daha sonra, evde hâlihazırda bulunan hane halkının zaman bazlı ağırlıklandırılmış şekliyle de belirleyici bir giriş verisi olduğu düşünülerek ÖDHYSA tekniği uygulanıp kümeleme sonuçları iyileştirilmiştir. Önerilen stratejinin benzetim çalışması MATLAB® ortamında
gerçekleştirilip ilgili sonuçlar sunulmuştur.

Keywords

Kümeleme, Sugeno Bulanık Mantık, Öz-düzenleyici Haritalı Yapay Sinir Ağları, Evsel Yük Profilleri, Clustering, Clustering, Sugeno Fuzzy Logic, Sugeno Fuzzy Logic, Self-Organizing Map Neural Network, Self-Organizing Map Neural Network, Household Load Profiles, Household Load Profiles

References

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Details

Primary Language

English

Subjects

Engineering

Journal Section

Research Article

Authors

Uğur Buğra Etlik
0000-0003-2619-1055
Türkiye

Yavuz Eren ^*
0000-0001-9128-2856
Türkiye

Publication Date

April 30, 2022

Submission Date

October 14, 2021

Acceptance Date

November 15, 2021

Published in Issue

Year 2022 Volume: 10 Number: 2

DOI

https://doi.org/10.29130/dubited.1009823

IZ

https://izlik.org/JA65CN42BX

APA

Etlik, U. B., & Eren, Y. (2022). Two-Stage Clustering Approach for the Household Electricity Load Profiles by Fuzzy Logic and Neural Network Techniques. Duzce University Journal of Science and Technology, 10(2), 981-990. https://doi.org/10.29130/dubited.1009823

AMA

1.Etlik UB, Eren Y. Two-Stage Clustering Approach for the Household Electricity Load Profiles by Fuzzy Logic and Neural Network Techniques. DUBİTED. 2022;10(2):981-990. doi:10.29130/dubited.1009823

Chicago

Etlik, Uğur Buğra, and Yavuz Eren. 2022. “Two-Stage Clustering Approach for the Household Electricity Load Profiles by Fuzzy Logic and Neural Network Techniques”. Duzce University Journal of Science and Technology 10 (2): 981-90. https://doi.org/10.29130/dubited.1009823.

EndNote

Etlik UB, Eren Y (April 1, 2022) Two-Stage Clustering Approach for the Household Electricity Load Profiles by Fuzzy Logic and Neural Network Techniques. Duzce University Journal of Science and Technology 10 2 981–990.

IEEE

[1]U. B. Etlik and Y. Eren, “Two-Stage Clustering Approach for the Household Electricity Load Profiles by Fuzzy Logic and Neural Network Techniques”, DUBİTED, vol. 10, no. 2, pp. 981–990, Apr. 2022, doi: 10.29130/dubited.1009823.

ISNAD

Etlik, Uğur Buğra - Eren, Yavuz. “Two-Stage Clustering Approach for the Household Electricity Load Profiles by Fuzzy Logic and Neural Network Techniques”. Duzce University Journal of Science and Technology 10/2 (April 1, 2022): 981-990. https://doi.org/10.29130/dubited.1009823.

JAMA

1.Etlik UB, Eren Y. Two-Stage Clustering Approach for the Household Electricity Load Profiles by Fuzzy Logic and Neural Network Techniques. DUBİTED. 2022;10:981–990.

MLA

Etlik, Uğur Buğra, and Yavuz Eren. “Two-Stage Clustering Approach for the Household Electricity Load Profiles by Fuzzy Logic and Neural Network Techniques”. Duzce University Journal of Science and Technology, vol. 10, no. 2, Apr. 2022, pp. 981-90, doi:10.29130/dubited.1009823.

Vancouver

1.Uğur Buğra Etlik, Yavuz Eren. Two-Stage Clustering Approach for the Household Electricity Load Profiles by Fuzzy Logic and Neural Network Techniques. DUBİTED. 2022 Apr. 1;10(2):981-90. doi:10.29130/dubited.1009823

Two-Stage Clustering Approach for the Household Electricity Load Profiles by Fuzzy Logic and Neural Network Techniques

Abstract

Keywords

Evsel Elektriksel Yük Profilleri için Bulanık Mantık ve Yapay Sinir Ağları Teknikleri ile İki-Kademeli Kümeleme Yaklaşımı

Abstract

Keywords

References

Details

Primary Language

Subjects

Journal Section

Authors

Publication Date

Submission Date

Acceptance Date

Published in Issue

DOI

IZ

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