Double-layer optimized configuration of distributed energy storage and transformer capacity in distribution network. (May 2023)

• Record Type: Journal Article
• Authors: Li, Cuiping; Zhang, Hao; Zhou, Hengyu; Sun, Dapeng; Dong, Zhemin; Li, Junhui
• Is Part Of: International journal of electrical power & energy systems. Volume 147(2023)
• Publication Date: 2023-05
• Subjects: Distributed energy storage -- Transformer expansion -- Energy storage location method -- Capacity configuration -- Two-layer optimization model; 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.2022.108834
• Languages: English
• ISSNs: 0142-0615

Abstract

Highlights: DES location method based on the standard deviation of network loss sensitivity is proposed. Two-layer optimal allocation method for DES and transformer capacity is established. Economic scheduling model is established to ensure the safe operation of transformer and achieve optimal benefit of DES. Abstract: In order to solve the problem of low utilization of distribution network equipment and distributed generation (DG) caused by expansion and transformation of traditional transformer capacity, considering the relatively high cost of energy storage at this stage, a coordinated capacity configuration planning method for transformer expansion and distributed energy storage (DES) is proposed in this paper. First, the energy storage capacity requirements is analyzed on the basis of the transformer overload requirements, and analyzing the correspondence between different capacities of energy storage and transformer expansion capacities. Besides, taking into account the impact of different action mechanisms of energy storage on the node load within a day, a location optimization method for DES based on the standard deviation of network loss sensitivity is introduced. Then, considering the net cost of coordinated planning of energy storage and transformer are minimum and the benefit of energy storage operation is maximum, a two-layer optimization model of distributed energy storage and transformer capacity is established. Finally, the solution method of the two-layer optimization model is proposed, and the feasibility of the proposed model is verified by IEEE33 bus distribution system. The results show that the coordinated planning method proposed in this paper can greatly reduce the investment cost, and the net cost of the coordinated planning scheme is reduced by 17.558 million yuan compared with the scheme of separate configuration for energy storage, which effectively improves the economics of energy storage configuration.