scholarly journals Optimal Scheduling and Real-Time Control Schemes of Battery Energy Storage System for Microgrids Considering Contract Demand and Forecast Uncertainty

Energies ◽  
2018 ◽  
Vol 11 (6) ◽  
pp. 1371 ◽  
Author(s):  
Hong-Chao Gao ◽  
Joon-Ho Choi ◽  
Sang-Yun Yun ◽  
Hak-Ju Lee ◽  
Seon-Ju Ahn
Keyword(s):  
Energy Storage ◽  
Storage System ◽  
Energy Storage System ◽  
Optimal Scheduling ◽  
Real Time Control ◽  
Battery Energy Storage System ◽  
Battery Energy Storage ◽  
Time Control ◽  
Control Schemes ◽  
Battery Energy

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

Energies ◽  
2019 ◽  
Vol 12 (7) ◽  
pp. 1339 ◽  
Author(s):  
Hee-Jun Cha ◽  
Sung-Eun Lee ◽  
Dongjun Won
Keyword(s):  
Energy Storage ◽  
Electricity Market ◽  
Distribution System ◽  
Wind Farm ◽  
Storage System ◽  
Energy Storage System ◽  
Optimal Scheduling ◽  
Battery Energy Storage System ◽  
Battery Energy Storage ◽  
Battery Energy

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.

Study of Efficiency of Battery Energy Storage System

2016 ◽  
Vol 136 (11) ◽  
pp. 824-832 ◽  
Author(s):  
Mami Mizutani ◽  
Takenori Kobayashi ◽  
Katsunori Watabe ◽  
Tomoki Wada
Keyword(s):  
Energy Storage ◽  
Storage System ◽  
Energy Storage System ◽  
Battery Energy Storage System ◽  
Battery Energy Storage ◽  
Battery Energy
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