Optimal coordination strategy for multiple distributed energy systems considering supply, demand, and price uncertainties. (15th July 2021)

• Record Type: Journal Article
• Authors: Li, Longxi; Cao, Xilin; Wang, Peng
• Is Part Of: Energy. Volume 227(2021)
• Publication Date: 2021-07-15
• Subjects: Coordination strategy -- Energy trading prices -- Robust bilevel programming -- Energy management system -- Distributed energy systems; Power resources -- Periodicals; Power (Mechanics) -- Periodicals; Energy consumption -- Periodicals; 333.7905
• DOI: 10.1016/j.energy.2021.120460
• Languages: English
• ISSNs: 0360-5442

Abstract

Abstract: 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. 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.