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

Energies

Dongjun Won¹  Hee-Jun Cha¹  Sung-Eun Lee² 

[1] Department of Electrical Engineering, Inha University, 100, Inha-ro, Nam-gu, Incheon 402-751, Korea;Korea Electric Power Research Institute (KEPRI), Korea Electric Power Company (KEPCO), 105 Munji-Ro, Yuseong-gu, Daejeon 34056, Korea;

关键词: energy storage system (ESS);    renewable energy certification (REC);    arbitrage;    frequency regulation;    mixed integer linear programming;    optimization scheduling;    Matlab runtime;   

DOI  :  10.3390/en12071339

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown