Quantitive assessment of active management of distribution network with distributed generation

Author

Zhang, Jietan ; Cheng, Haozhong ; Wang, Chun ; Xia, Yi ; Shen, Xiaolan ; Yu, Jianping

Author_Institution

Dept. of Electr. Eng., Shanghai Jiao Tong Univ., Shanghai

fYear

2008

fDate

6-9 April 2008

Firstpage

2519

Lastpage

2524

Abstract

Active management (AM) is an effective method to network reinforcement for the connection and operation of distributed generation (DG). In this paper, the concept and principle of AM of distribution network are introduced, and the optimal power flow (OPF) model of AM problem is presented. A quantitative assessment system, which employs several technical and economic indices to assess both technical and economic impacts of AM on distribution network with DG, is put forward, and fuzzy C-means clustering (FCM) algorithm is introduced to simplify the simulation. The test results on a sample system represent that AM can reduce energy losses and improve voltage profile effectively. Furthermore, AM will take great economic incentives to DG developer as well as distribution network operator (DNO) with reasonable policy.

Keywords

distributed power generation; fuzzy set theory; load flow; power distribution economics; distributed generation; distribution network active management; distribution network operator; economic indices; energy loss reduction; fuzzy C-means clustering algorithm; optimal power flow model; quantitative assessment; voltage profile; Clustering algorithms; Distributed control; Energy loss; Fuzzy systems; Load flow; Power generation economics; Power system economics; Power system management; Power system modeling; System testing; Active management; distributed generation; distribution network; fuzzy C-means clustering; quantitive assessment;

fLanguage

English

Publisher

ieee

Conference_Titel

Electric Utility Deregulation and Restructuring and Power Technologies, 2008. DRPT 2008. Third International Conference on

Conference_Location

Nanjing

Print_ISBN

978-7-900714-13-8

Electronic_ISBN

978-7-900714-13-8

Type

conf

DOI

10.1109/DRPT.2008.4523835

Filename

4523835