李龙锡等 Optimal coordination strategy for multiple distributed energy systems considering supply, demand, and price uncertainties

我校金沙8888js官方李龙锡老师在T1级别期刊——《ENERGY》上发表题为“Optimal coordination strategy for multiple distributed energy systems considering supply, demand, and price uncertainties”。论文第一作者李龙锡为金沙8888js官方特任教授。

Abstract /摘要：

Facing a significant increase in connected distributed energy systems, the optimal coordination strategy among multiple distributed energy systems is vitally important to explore. In this paper, an energy management system is introduced and operated by an energy service company, which is responsible for managing the interaction of multiple distributed energy systems. To optimize the day-ahead scheduling of the distributed energy systems, a coordination scheme with a bilevel framework is proposed. The energy interaction between the energy management system and distributed energy systems contains electricity and heat, which is a Stackelberg problem. Two types of internal price schemes, namely, real-time pricing and time-of-use pricing, are discussed. Moreover, the uncertainties of renewable energy resources, energy demand, and energy prices are considered within both upper- and lower-level problems. The problem is formulated as a nonlinear bilevel robust optimization model and transformed into a single-level mixed-integer linear problem. Numerical cases illustrate how the energy management system coordinates with distributed energy systems and show the effectiveness of the coordination strategy such that all participators benefit from the proposed strategy and create a win-win situation. The model and results can serve as references for the business managers of companies that provide energy services for building clusters.

论文信息;

Title/题目:

Optimal coordination strategy for multiple distributed energy systems considering supply, demand, and price uncertainties

Authors/作者:

Li Longxi; Cao Xilin; Wang Peng

Key Words /关键词：

Coordination strategy; Energy trading prices; Robust bilevel programming; Energy management system; Distributed energy systems

Indexed by /核心评价：

SCI;Scopus;AHCI;EI;WAJCI;INSPEC;

研究要点/ Highlights

• The coordination strategy for multiple distributed energy systems is optimized.;

• A robust bilevel programming model is proposed under a Stackelberg framework.;

• Real-time pricing and time-of-use pricing schemes for coordination are discussed.;

• The renewable energy, energy demand, and energy price uncertainties are considered.

DOI：10.1016/J.ENERGY.2021.120460

全文链接：https://www.sciencedirect.com/science/article/pii/S036054422100709X?via%3Dihub