Implementation of Optimal Scheduling Algorithm for Multi-Functional Battery Energy Storage System

Energy storage system (ESS) can play a positive role in the power system due to its ability to store, charge and discharge energy. Additionally, it can be installed in various capacities, so it can be used in the transmission and distribution system and even at home. In this paper, the proposed algo...

Full description

Saved in:
Bibliographic Details
Published in:Energies (Basel) Vol. 12; no. 7; p. 1339
Main Authors: Cha, Hee-Jun, Lee, Sung-Eun, Won, Dongjun
Format: Journal Article
Language:English
Published: Basel MDPI AG 08.04.2019
Subjects:
Algorithms
Arbitrage
Electric power
Electricity
Electricity distribution
Energy industry
energy storage system (ESS)
frequency regulation
Linear programming
Matlab runtime
mixed integer linear programming
optimization scheduling
renewable energy certification (REC)
Renewable resources
Scheduling
Studies
United States > US
ISSN:1996-1073, 1996-1073
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Energy storage system (ESS) can play a positive role in the power system due to its ability to store, charge and discharge energy. Additionally, it can be installed in various capacities, so it can be used in the transmission and distribution system and even at home. In this paper, the proposed algorithm for economic optimal scheduling of ESS linked to transmission systems in the Korean electricity market is proposed and incorporated into the BESS (battery energy storage system) demonstration test center. The proposed algorithm considers the energy arbitrage operation through SMP (system marginal price) and operation considering the REC (renewable energy certification) weight of the connected wind farm and frequency regulation service. In addition, the proposed algorithm was developed so that the SOC (state-of-charge) of the ESS could be separated into two virtual SOCs to participate in different markets and generate revenue. The proposed algorithm was simulated and verified through Matlab and loaded into the demonstration system using the Matlab “Runtime” function.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1996-1073
1996-1073
DOI:10.3390/en12071339