Decentralized and coordinated scheduling model of interconnected multi-microgrid based on virtual energy storage. (June 2023)

• Record Type: Journal Article
• Authors: Ma, Yinghao; Zhang, Mengyuan; Yang, Hejun; Wang, Xuli; Xu, Jiayin; Hu, Xudong
• Is Part Of: International journal of electrical power & energy systems. Volume 148(2023)
• Publication Date: 2023-06
• Subjects: Interconnected microgrids -- Virtual energy storage -- Decentralized and coordinated scheduling -- Analytical target cascading; Electrical engineering -- Periodicals; Electric power systems -- Periodicals; Électrotechnique -- Périodiques; Réseaux électriques (Énergie) -- Périodiques; Electric power systems; Electrical engineering; Periodicals; 621.3
• DOI: 10.1016/j.ijepes.2023.108990
• Languages: English
• ISSNs: 0142-0615

Abstract

Highlights: A decentralized and coordinated scheduling method of interconnected multi-microgrid is proposed. The virtual energy storage model for microgrid is established to express the potential flexibility. The analytical target cascading is used to decouple the two-level optimization model. The available flexible resource capacity of microgrid to the others are quantitatively analyzed. Abstract: The joint coordinated optimization scheduling of multi-microgrid can reduce the risk of accommodation of renewable energy and the operation costs. In this paper, a decentralized and coordinated scheduling method of interconnected multi-microgrid based on virtual energy storage is proposed. Firstly, the microgrid is modelled as a virtual energy storage model, and the demand and supply are packaged into the charge and discharge states of the virtual energy storage model for information privacy of microgrid. Secondly, the probability characteristics of renewable energy prediction error and system flexible resource are used to quantify the operation risk of microgrid and the available charge and discharge power. The decentralized and coordinated scheduling method contains two-levels optimization model to optimize the power of tie-line and virtual energy storage. The upper is the central coordinate controller scheduling model, and the lower is the optimization scheduling model of sub-microgrid. The analytical target cascading is used to decouple the established upper and lower level models for independent optimization and solution. The proposed scheduling model ensures independent operation of each microgrid, and realizes decentralized autonomy and centralized coordinated management of multi-microgrid. Case studies demonstrate the correctness and a well economy of the proposed scheduling method.