EconPapers    
Economics at your fingertips  
 

Can retail electricity pricing promote microgrid operators to leverage shared energy storage services among internal aggregators?

Xiaoling Song, Han Wu, Huqing Zhang, Jianxin Guo, Zhe Zhang and Feniosky Peña-Mora

Energy, 2025, vol. 314, issue C

Abstract: Utilizing shared energy storage services presents a viable solution for microgrids to manage the increasing integration of distributed energy resources in retail electricity markets. By optimizing time-varying pricing, it is possible to impact the internal operations of microgrids that involve shared energy storage through price signals, as electricity retailers seek to aid in the deregulation of retail markets. This paper presents a bi-level optimization model that captures the interactions between electricity retailers and microgrid operators. At the upper level, the electricity retailer’s objective is to maximize economic profits by making day-ahead hourly strategic pricing decisions in the retail market and determining electricity purchases in the wholesale market. Meanwhile, at the lower level, the microgrid operator aims to minimize total costs by coordinating energy storage services among multiple internal aggregators and making decisions in the retail market. The microgrid operator oversees the centralized day-ahead operation decisions between the shared energy storage operator and various aggregators. Each aggregator manages a specific number of prosumers/customers and shares energy storage facilities. To achieve an equilibrium solution for the pricing strategies of electricity retailers and the operational challenges faced by microgrid operators, a bi-level nested genetic algorithm is proposed. This algorithm aims to identify effective pricing strategies for the electricity retailer, which will encourage multiple aggregators to utilize shared energy storage systems within the microgrid. The findings indicate that the electricity retailer can boost their profits by a minimum of 48.8% by adopting the proposed pricing approach. Additionally, the direct incentives within the pricing strategies play a crucial role in motivating aggregators to participate in providing energy storage services, resulting in a 26.1% reduction in costs for the microgrid operator.

Keywords: Strategic pricing; Bi-level optimization; Shared energy storage systems; Microgrid operator; Retail electricity market (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544224039380
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:energy:v:314:y:2025:i:c:s0360544224039380

DOI: 10.1016/j.energy.2024.134160

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

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

 
Page updated 2025-03-19
Handle: RePEc:eee:energy:v:314:y:2025:i:c:s0360544224039380