Optimal Configuration of User-Side Energy Storage for Multi-Transformer Integrated Industrial Park Microgrid

Wengang Chen, Jiajia Chen (), Bingyin Xu, Xinpeng Cong and Wenliang Yin
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Wengang Chen: School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255000, China
Jiajia Chen: School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255000, China
Bingyin Xu: School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255000, China
Xinpeng Cong: Key Laboratory of Power System Intelligent Dispatch and Control of the Ministry of Education, Shandong University, Jinan 250061, China
Wenliang Yin: School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255000, China

Energies, 2023, vol. 16, issue 7, 1-15

Abstract: Under a two-part tariff, the user-side installation of photovoltaic and energy storage systems can simultaneously lower the electricity charge and demand charge. How to plan the energy storage capacity and location against the backdrop of a fully installed photovoltaic system is a critical element in determining the economic benefits of users. In view of this, we propose an optimal configuration of user-side energy storage for a multi-transformer-integrated industrial park microgrid. First, the objective function of user-side energy storage planning is built with the income and cost of energy storage in the whole life cycle as the core elements. This is conducted by taking into consideration the time-of-use electricity price, demand price, on-grid electricity price, and energy storage operation and maintenance costs. Then, considering the load characteristics and bidirectional energy interaction of different nodes, a user-side decentralized energy storage configuration model is developed for a multi-transformer-integrated industrial park microgrid. Finally, combined with the engineering practice constraints, the configuration model is solved by mixed integer linear programming. The simulation test demonstrates how the proposed model can successfully increase the economic benefits of an industrial park. Electricity and demand costs are reduced by 11.90% and 19.35%, respectively, and the photovoltaic accommodation level is increased by 4.2%, compared to those without the installation of energy storage system.

Keywords: multi-transformer; user-side; energy storage; optimal configuration; industrial park microgrid (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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