EconPapers    
Economics at your fingertips  
 

Economic evaluation of batteries planning in energy storage power stations for load shifting

Xiaojuan Han, Tianming Ji, Zekun Zhao and Hao Zhang

Renewable Energy, 2015, vol. 78, issue C, 643-647

Abstract: The rapid charging or discharging characteristics of battery energy storage system is an effective method to realize load shifting in distribution network and control the fluctuations of load power substantially. However, the type selection and capacity configuration of the batteries will be directly related to the economy of energy storage system for load shifting in the distribution network. An optimized model of hybrid battery energy storage system based on cooperative game model is proposed in this paper, in which lead-acid battery, lithium ion battery and vanadium redox flow battery are respectively regarded as the participants of the cooperative game model, the cost and benefit models are established in their corresponding game strategy spaces. The Nash equilibrium solutions of each game model obtained by genetic algorithm are applied to the planning and design of battery energy storage station with the most economical types of the batteries and the optimal capacity configuration of energy storage station. The simulation results verify the effectiveness of the proposed method and provide a theoretical basis for the planning and design of battery energy storage station.

Keywords: Load shifting; Game theory; Battery energy storage system; Planning of battery selection (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (23)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960148115000749
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:78:y:2015:i:c:p:643-647

DOI: 10.1016/j.renene.2015.01.056

Access Statistics for this article

Renewable Energy is currently edited by Soteris A. Kalogirou and Paul Christodoulides

More articles in Renewable Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:renene:v:78:y:2015:i:c:p:643-647