Optimization of the Energy Storage System in ADN, Considering the Energy Storage Operating Strategy and Dynamic Characteristics of the System

  • Jie Dong, Huan Liu, Hui Jia, Jianjun Zhao, Hongbo Wang, Qiankun Kong, Jialin Liu

Abstract

If you want your energy storage system to meet the needs of distributed power supply and active distribution network (ADN) operation, you need to improve the flow battery's dynamic capabilities (BESS). ADN energy storage operations should be implemented to stabilize the system's power fluctuation on this basis. As part of the energy storage configuration model, the dynamic programming algorithm is used to solve the model's decision variables of energy storage installation capacity, power, and installation position in order to maximize the BESS's fixed and operating costs, direct economic benefit, and environmental benefit over the course of the energy's life cycle. On the basis of the case 31 and 72 node instances, as well as the usual daily load and distributed generation output curves, a simulation research is carried out to reach the perfect design result. A tie-line power and dynamic characteristics may also be obtained from a pre-installed energy storage device, as well as after it is installed. Simulated results confirm the accuracy of the model.

How to Cite
Jie Dong, Huan Liu, Hui Jia, Jianjun Zhao, Hongbo Wang, Qiankun Kong, Jialin Liu. (1). Optimization of the Energy Storage System in ADN, Considering the Energy Storage Operating Strategy and Dynamic Characteristics of the System. Forest Chemicals Review, 1027-1042. Retrieved from http://www.forestchemicalsreview.com/index.php/JFCR/article/view/1202
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Articles