Selection of optimal location and size of multiple distributed generations by using Kalman Filter algorithm

Soo Hyoung Lee, Jung Wook Park

Research output: Contribution to journalArticlepeer-review

173 Citations (Scopus)

Abstract

Increase in power consumption can cause serious stability problems in electric power systems if there are no ongoing or impending construction projects of new power plants or transmission lines. Additionally, such increase can result in large power losses of the system. In costly and environmentally effective manner to avoid constructing the new infrastructures such as power plants, transmission lines, etc., the distributed generation (DG) has been paid great attention so far as a potential solution for these problems. The beneficial effects of DG mainly depend on its location and size. Therefore, selection of optimal location and size of the DG is a necessary process to maintain the stability and reliability of existing system effectively before it is connected to a power grid. However, the systematic and cardinal rule for this issue is still an open question. In this paper, a method to determine the optimal locations of multiple DGs is proposed by considering power loss. Also, their optimal sizes are determined by using the Kalman filter algorithm.

Original languageEnglish
Pages (from-to)1393-1400
Number of pages8
JournalIEEE Transactions on Power Systems
Volume24
Issue number3
DOIs
Publication statusPublished - 2009

Bibliographical note

Funding Information:
Manuscript received December 03, 2008; revised October 13, 2008. First published June 16, 2009; current version published July 22, 2009. This work was supported by the Manpower Development Program for Energy & Resources of MKE with the Yonsei Electric Power Research Center (YEPRC), Yonsei University, Seoul, Korea. Paper no. TPWRS-00847-2008.

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Selection of optimal location and size of multiple distributed generations by using Kalman Filter algorithm'. Together they form a unique fingerprint.

Cite this