EconPapers    
Economics at your fingertips  
 

Using Piecewise Linearization Method to PCS Input/Output-Efficiency Curve for a Stand-Alone Microgrid Unit Commitment

Ha-Lim Lee and Yeong-Han Chun
Additional contact information
Ha-Lim Lee: Smart Distribution Research Center, Advanced Power Grid Research Division, Korea Electrotechnology Research Institute, bulmosan-ro 10beon-gil, Seongsan-gu, Changwonsi, Gyeongsangnam-do 51543, Korea
Yeong-Han Chun: Power System Lab, Electronic & Electrical Enginerring School, Hong-Ik University, 94, Wauson-ro, Mapo-gu, Seoul 04066, Korea

Energies, 2018, vol. 11, issue 9, 1-13

Abstract: When operating a stand-alone micro grid, the battery energy storage system (BESS) and a diesel generator are key components needed in order to maintain demand-supply balance. Using Unit Commitment (UC) to calculate the optimal operation schedule of a BESS and diesel generator helps minimize the operation cost of the micro grid. While calculating the optimal operation schedule for the microgrid, it is important that it reflects the actual characteristics of the implanted devices, in order to increase the schedule result accuracy. In this paper, a piecewise linearization, on the actual power conditioning system (PCS) input/output-efficiency characteristic curve, has been considered while calculating the optimal operation schedule using UC. The optimal schedule result calculated by the proposed method has been examined by comparing the schedule calculated by a fixed input/output-efficiency case, which is conventionally used while solving UC for a stand-alone microgrid.

Keywords: battery energy storage system; micro grid; MILP; PCS efficiency; piecewise linear techniques; renewable energy sources; optimal operation; UC (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/1996-1073/11/9/2468/pdf (application/pdf)
https://www.mdpi.com/1996-1073/11/9/2468/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:11:y:2018:i:9:p:2468-:d:170280

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jeners:v:11:y:2018:i:9:p:2468-:d:170280