Paper Info
Title
Capacity Share Optimization for Multiservice Energy Storage Management Under Portfolio Theory.
Abstract
Energy storage (ES) is playing a vital role in providing multiple services in several electricity markets. However, the benefits and risks vary across markets and time, which justifies the importance to optimize ES capacity share in different markets. In this paper, a novel portfolio theory-based approach is proposed for optimally managing ES in various markets to maximize benefits and reduce the risk for ES owners. Three markets are considered, which are energy arbitrage, ancillary services, and distributed network operatoru0027s market. They are modeled based on energy cost, frequency response cost, and system congestion cost. Portfolio theory is utilized to quantify ES capacity allocated to each market over time for various levels of risk aversions. The relation between risks and expected return of different markets is efficiently reflected by the portfolio theory, providing implications to storage operation. The extensive demonstration illustrates that the markets that storage can participate in are fundamentally different regarding to its risk aversion. In addition, the optimum portfolio of the markets for storage is on the efficient frontier, providing the maximum return at a certain risk aversion level. This study is particularly useful for guiding market participation and operation of ES to gain maximum economic return at minimum risk.
Year
Venue
Field
2019
IEEE Trans. Industrial Electronics
Electricity market,Energy storage,Modern portfolio theory,Control engineering,Efficient frontier,Portfolio,Risk aversion,Engineering,Arbitrage,Expected return,Environmental economics
DocType
Volume
Issue
Journal
66
2
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Xiaohe Yan102.03
Chenghong Gu247.82
Heather Wyman-Pain300.34
Furong Li4188.16