Optimal Scheduling for the Complementary Energy Storage System Operation Based on Smart Metering Data in the DC Distribution System

Bokyung Ko, Nugroho Prananto Utomo, Gilsoo Jang, Jaehan Kim and Jintae Cho
Additional contact information
Bokyung Ko: School of Electrical Engineering, Korea University, Seoul 136-713, Korea
Nugroho Prananto Utomo: School of Electrical Engineering, Korea University, Seoul 136-713, Korea
Gilsoo Jang: School of Electrical Engineering, Korea University, Seoul 136-713, Korea
Jaehan Kim: Korea Electric Power Research Institute (KEPRI), Daejeon 305-760, Korea
Jintae Cho: Korea Electric Power Research Institute (KEPRI), Daejeon 305-760, Korea

Energies, 2013, vol. 6, issue 12, 1-17

Abstract: The increasing penetration of distributed generation (DG) sources in low-voltage grid feeders causes problems concerning voltage regulation. The penetration of DG sources such as photovoltaics (PVs) in the distribution system can significantly impact the power flow and voltage conditions on the customer side. As the DG sources are more commonly connected to low-voltage distribution systems, voltage fluctuations in the distribution system are experienced because of the DG fluctuation and uncertainty. Therefore, the penetration of DGs in distribution systems is often limited by the required operating voltage ranges. By using an energy storage system (ESS), voltage fluctuation can be compensated for, thus satisfying the voltage regulation requirements. This paper presents an ESS scheduling algorithm based on the power injection data obtained from a smart metering system. The proposed ESS scheduling algorithm is designed for use within a direct current (DC) distribution grid, which comprises customers, each with a PV and an ESS system. The purpose of this ESS scheduling algorithm is to optimize the ESS scheduling by considering the complementary operation among all the ESSs.

Keywords: energy storage system (ESS); ESS scheduling; distributed generation (DG); power flow; DC power flow; decoupled power flow (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: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
https://www.mdpi.com/1996-1073/6/12/6569/pdf (application/pdf)
https://www.mdpi.com/1996-1073/6/12/6569/ (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:6:y:2013:i:12:p:6569-6585:d:31472

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 ().