Day-ahead bidding strategy of cloud energy storage serving multiple heterogeneous microgrids in the electricity market

被引：30

作者：

Chang, Weiguang ^{[1
]}

Dong, Wei ^{[2
]}

Yang, Qiang ^{[1
]}

机构：

[1] Zhejiang Univ, Coll Elect Engn, Hangzhou 310027, Peoples R China

[2] Hangzhou Dianzi Univ, Coll Automat, Hangzhou 310018, Peoples R China

来源：

APPLIED ENERGY | 2023年 / 336卷

基金：

中国国家自然科学基金;

关键词：

Cloud energy storage; Day -ahead bidding; Two energy service modes; Electricity market uncertainty;

D O I：

10.1016/j.apenergy.2023.120827

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

Cloud energy storage (CES) receives increasing attention as an efficient and viable paradigm for the provision of distributed energy storage services. This paper exploits CES's service modes to both energy storage and electricity trading for its users, e.g., microgrid (MG). The optimal day-ahead bidding strategy is investigated for CES as an independent entity in the electricity market. Besides, two energy service modes are introduced considering MG's requirements and preferences. Each mode consists of a set of schemes for energy storage system (ESS) rent (power-based and capacity-based) and electricity trading (internal price with an improved pricing method and market clearing price). Finally, a stochastic programming (SP)-based optimization model is formulated to maximize the CES's expected profits fully considering the electricity market's settlement mechanism and uncertainty as well as the participation interest of MG. The proposed solution is extensively assessed through a case study of CES's energy services to five heterogeneous MGs with distinct electricity generation and consumption characteristics and two energy service modes are assessed through comparative experiments. The numerical results confirm the effectiveness and benefits of the proposed optimal day-ahead bidding solution.

引用

页数：18

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