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

被引：4

作者：

Cha, Hee-Jun ^{[1
]}

Lee, Sung-Eun ^{[2
]}

Won, Dongjun ^{[1
]}

机构：

[1] Inha Univ, Dept Elect Engn, 100 Inha Ro, Incheon 402751, South Korea

[2] Korea Elect Power Co KEPCO, KEPRI, 105 Munji Ro, Daejeon 34056, South Korea

来源：

ENERGIES | 2019年 / 12卷 / 07期

关键词：

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

D O I：

10.3390/en12071339

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

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.

引用

页数：17

共 11 条

[1] Optimal Power Assignment of Energy Storage Systems to Improve the Energy Storage Efficiency for Frequency Regulation [J].

Cho, Sung-Min ;

Yun, Sang-Yun .

ENERGIES, 2017, 10 (12)

[2]

Choi S., 2017, P IEEE IND APPL SOC, P1, DOI DOI 10.1109/IAS.2017.8101727

[3] Stochastic Simulation of Utility-Scale Storage Resources in Power Systems With Integrated Renewable Resources [J].

Degeilh, Yannick ;

Gross, George .

IEEE TRANSACTIONS ON POWER SYSTEMS, 2015, 30 (03) :1424-1434

[4] Optimal Capacity Partitioning of Multi-Use Customer-Premise Energy Storage Systems [J].

Gantz, Jesse M. ;

Amin, S. Massoud ;

Giacomoni, Anthony M. .

IEEE TRANSACTIONS ON SMART GRID, 2014, 5 (03) :1292-1299

[5] Improving Wind Farm Dispatchability Using Model Predictive Control for Optimal Operation of Grid-Scale Energy Storage [J].

Halamay, Douglas ;

Antonishen, Michael ;

Lajoie, Kelcey ;

Bostrom, Arne ;

Brekken, Ted K. A. .

ENERGIES, 2014, 7 (09) :5847-5862

[6] Economic Value of Li-ion Energy Storage System in Frequency Regulation Application from Utility Firm's Perspective in Korea [J].

Hur, Wonchang ;

Moon, Yongma ;

Shin, Kwangsup ;

Kim, Wooje ;

Nam, Suchul ;

Park, Kijun .

ENERGIES, 2015, 8 (06) :5000-5017

[7] Optimal scheduling of independently operated, locally controlled energy storage systems as dispatchable assets in a competitive electricity market [J].

Khani, Hadi ;

Zadeh, Mohammad R. Dadash ;

Varma, Rajiv K. .

IET GENERATION TRANSMISSION & DISTRIBUTION, 2017, 11 (06) :1360-1369

[8] Coordinated Price-Maker Operation of Large Energy Storage Units in Nodal Energy Markets [J].

Mohsenian-Rad, Hamed .

IEEE TRANSACTIONS ON POWER SYSTEMS, 2016, 31 (01) :786-797

[9] Evaluation of the energy storage systems impact on the Italian ancillary market [J].

Rossi, Arianna ;

Stabile, Marco ;

Puglisi, Cinzia ;

Falabretti, Davide ;

Merlo, Marco .

SUSTAINABLE ENERGY GRIDS & NETWORKS, 2019, 17

[10] Potential Arbitrage Revenue of Energy Storage Systems in PJM during 2014 [J].

Salles, M. B. C. ;

Aziz, M. J. ;

Hogan, W. W. .

2016 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING (PESGM), 2016,

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