Long-term cycle control strategies for SMP-based shaving using a large-scale battery energy storage system

Author

Su Bin Son ; Jung-Su Kim ; Hwachang Song

Author_Institution

Dept. of Electr. & Inf. Eng., Seoul Nat. Univ. of Sci. & Technol., Seoul, South Korea

fYear

2014

Firstpage

1

Lastpage

4

Abstract

This paper presents a method of long-term cycle control strategies for a large-scale battery energy storage system (BESS). Several transmission and distribution long-term cycle functions can be implemented on the power management system (PMS) for BESS, but this paper focuses on system margin price (SMP) based shaving, which is both for energy time shift and also for maximization the benefit from the operation. This paper includes an illustrative example applying the method to SMP signal.

Keywords

battery storage plants; power distribution control; power distribution economics; power transmission control; power transmission economics; BESS; PMS; SMP signal; SMP-based shaving; benefit maximization; distribution long-term cycle function; energy time shift; large-scale battery energy storage system; long-term cycle control strategies; power management system; transmission long-term cycle function; Batteries; Meteorology; Predictive control; Real-time systems; Scheduling; System-on-chip; Battery energy storage systems; energy time shift; peak shaving; real-time operation); system marginal price;

fLanguage

English

Publisher

ieee

Conference_Titel

Soft Computing and Intelligent Systems (SCIS), 2014 Joint 7th International Conference on and Advanced Intelligent Systems (ISIS), 15th International Symposium on

Type

conf

DOI

10.1109/SCIS-ISIS.2014.7044864

Filename

7044864