• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

Electric Power Construction ›› 2018, Vol. 39 ›› Issue (1): 83-.doi: DOI: 10.3969/j.issn.1000-7229.2018.01.011

Previous Articles     Next Articles

 Voltage Control Partitioning Method for Active Distribution Network Based on Electrical Distance Matrix Eigenvalue Analysis

 LU Lingzhi, GENG Guangfei, JI Yuqi, LI Xiulei, WEI Zirui

 
  

  1.  (College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China)
     
  • Online:2018-01-01
  • Supported by:
     

Abstract:  ABSTRACT: In view of the shortcomings of the existing voltage control partitioning methods in determining the partitioning number, this paper proposes a partitioning method based on the analysis of electrical distance matrix eigenvalues. The method is applied to the active distribution network (ADN) partitioning, which can obtain the optimal partitioning number by analyzing electrical distance matrix eigenvalues. Firstly, we use the Newton-Raphson method to calculate power flow, obtain the voltage/reactive power sensitivity matrix, and process it to obtain the augmented voltage/reactive power sensitivity matrix. Then, we define the electrical distance according to the augmented voltage/reactive power sensitivity matrix, and obtain the electrical distance matrix. Besides, we establish an index describing the eigenvalues sequence of the electrical distance matrix as the basis to determine the number of the larger eigenvalues, which is the partitioning number. At last, we use agglomerate hierarchical clustering algorithm based on Ward distance to cluster the electrical distance matrix and obtain the partitioning results. Case simulation is given to prove the effectiveness and reasonability of the proposed method.

 

Key words:  KEYWORDS: grid partitioning, active distribution network, analysis of matrix eigenvalues, optimal partitioning number, agglomerate hierarchical clustering algorithm

CLC Number: