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Energies 2013, 6(12), 6569-6585; doi:10.3390/en6126569
Article

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

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Received: 16 October 2013; in revised form: 11 December 2013 / Accepted: 12 December 2013 / Published: 18 December 2013
(This article belongs to the Special Issue Smart Grids: The Electrical Power Network and Communication System)
Download PDF [1167 KB, uploaded 18 December 2013]
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 energy storage system (ESS); ESS scheduling; distributed generation (DG); power flow; DC power flow; decoupled power flow
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Ko, B.; Utomo, N.P.; Jang, G.; Kim, J.; Cho, J. Optimal Scheduling for the Complementary Energy Storage System Operation Based on Smart Metering Data in the DC Distribution System. Energies 2013, 6, 6569-6585.

AMA Style

Ko B, Utomo NP, Jang G, Kim J, Cho J. Optimal Scheduling for the Complementary Energy Storage System Operation Based on Smart Metering Data in the DC Distribution System. Energies. 2013; 6(12):6569-6585.

Chicago/Turabian Style

Ko, Bokyung; Utomo, Nugroho P.; Jang, Gilsoo; Kim, Jaehan; Cho, Jintae. 2013. "Optimal Scheduling for the Complementary Energy Storage System Operation Based on Smart Metering Data in the DC Distribution System." Energies 6, no. 12: 6569-6585.


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