Optimal operation of multiple DGs in DC distribution system to improve system efficiency

Soo Hyoung Lee, Jung Wook Park

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper proposes a computationally-effective method for optimal operation of multiple distributed generations (DGs) in DC distribution systems to improve their efficiency. There have been many researches to select the optimal sizes of multiple DGs. However, these optimal sizes are valid only in the particular operating point. For optimal operations of power systems, the DG sizes must be determined all the time according to the various load conditions. The proposed method can maintain the distribution system operating in its optimal condition with only single optimization process, without regard to load variations. Therefore, it can moderate the serious problems, derived from inaccurate load forecasting. To verify the performance of the proposed method, the DC system is first implemented with the real distribution system of Do-gok area in Seoul, Korea. Then, the real hourly-load data, acquired from SCADA system in Korea, are used to simulate the practical load variations.

Original languageEnglish
Title of host publicationConference Record - 2016 IEEE/IAS 52nd Industrial and Commercial Power Systems Technical Conference, I and CPS 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467386715
DOIs
Publication statusPublished - 2016 Jun 10
Event52nd IEEE/IAS Industrial and Commercial Power Systems Technical Conference, I and CPS 2016 - Detroit, United States
Duration: 2016 May 12016 May 5

Publication series

NameConference Record - Industrial and Commercial Power Systems Technical Conference
Volume2016-June

Other

Other52nd IEEE/IAS Industrial and Commercial Power Systems Technical Conference, I and CPS 2016
Country/TerritoryUnited States
CityDetroit
Period16/5/116/5/5

Bibliographical note

Funding Information:
This work was supported in part by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (No. 2011-0028065) and in part by Power Generation & Electricity Delivery Core Technology Program of the Korea Institute of Energy Technology Evaluation and Planning (KETEP) granted fmancial resource from Ministry of Trade, Industry & Energy, Korea (20141020402340).

Publisher Copyright:
© 2016 IEEE.

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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