Back to Search Start Over

Profit-Maximizing Planning and Control of Battery Energy Storage Systems for Primary Frequency Control.

Authors :
Zhang, Ying Jun Angela
Zhao, Changhong
Tang, Wanrong
Low, Steven H.
Source :
IEEE Transactions on Smart Grid; Mar2018, Vol. 9 Issue 2, p712-723, 12p
Publication Year :
2018

Abstract

We consider a two-level profit-maximizing strategy, including planning and control, for battery energy storage system (BESS) owners that participate in the primary frequency control market. Specifically, the optimal BESS control minimizes the operating cost by keeping the state of charge (SoC) in an optimal range. Through rigorous analysis, we prove that the optimal BESS control is a “state-invariant” strategy in the sense that the optimal SoC range does not vary with the state of the system. As such, the optimal control strategy can be computed offline once and for all with very low complexity. Regarding the BESS planning, we prove that the minimum operating cost is a decreasing convex function of the BESS energy capacity. This leads to the optimal BESS sizing that strikes a balance between the capital investment and operating cost. This paper here provides a useful theoretical framework for understanding the planning and control strategies that maximize the economic benefits of BESSs in ancillary service markets. [ABSTRACT FROM PUBLISHER]

Details

Language :
English
ISSN :
19493053
Volume :
9
Issue :
2
Database :
Complementary Index
Journal :
IEEE Transactions on Smart Grid
Publication Type :
Academic Journal
Accession number :
128115130
Full Text :
https://doi.org/10.1109/TSG.2016.2562672