Design of Power Supply Package for Electricity Sales Companies Considering User Side Energy Storage Configuration

Qitian Mu, Yajing Gao, Yongchun Yang and Haifeng Liang
Additional contact information
Qitian Mu: Electrical Engineering Department, North China Electric Power University, PO Box 17, 619 Yonghuabei Street, Baoding 071003, China
Yajing Gao: Technical and Economic Consultation Center for Electric Power Construction in China Electricity Council, Beijing 100032, China
Yongchun Yang: Electrical Engineering Department, North China Electric Power University, PO Box 17, 619 Yonghuabei Street, Baoding 071003, China
Haifeng Liang: Electrical Engineering Department, North China Electric Power University, PO Box 17, 619 Yonghuabei Street, Baoding 071003, China

Energies, 2019, vol. 12, issue 17, 1-16

Abstract: With the deepening of the reform of the power system, electricity sales companies are required to explore new business models and provide multi-faceted marketing programs for users. At the same time, with the reduction of energy storage (ES) costs and the gradual maturity of technology, user side ES, especially Battery ES, has become an effective means for enhancing users’ power supply reliability and reducing electricity bills. Battery ES, as the standby power supply, has a vast user side application. The configuration of ES can help users to ameliorate power quality and reduce electricity cost. It is a critical strategy for electricity sales companies to improve their competitiveness as well. Firstly, this paper analyzes the user side ES and introduces the user side ES development status and relevant policies. Then, we establish an ES configuration optimization model based on the cost–benefit system. To determine the optimal ES capacity of the system’s storage capacity, non-dominated sorting genetic algorithm with elite strategy (NSGA-II) is used as the method solving model. Finally, according to the cost-effectiveness of ES and the period of a contract signed by users, a price package with ES configuration is designed for users to choose.

Keywords: electricity sales company; ES configuration; power supply reliability; power supply package (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://www.mdpi.com/1996-1073/12/17/3219/pdf (application/pdf)
https://www.mdpi.com/1996-1073/12/17/3219/ (text/html)

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:gam:jeners:v:12:y:2019:i:17:p:3219-:d:259695

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().