Capacity Optimal Allocation Strategy of Energy Storage System Based on Fruit Fly Optimization Algorithm

被引：2
|
作者：
Wu, Shaojiang [1 ]
Wang, Yi [1 ]
Lin, Kai [1 ]
Liao, Wanying [1 ]
Huang, Weiqin [1 ]
机构：
[1] Fujian Shuikou Power Generat Grp Co Ltd, Fuzhou, Peoples R China
来源：
2022 4TH INTERNATIONAL CONFERENCE ON SMART POWER & INTERNET ENERGY SYSTEMS, SPIES | 2022年
关键词：
Multi energy system; Fruit Fly Optimization Algorithm; Hybrid energy storage system; Capacity optimization configuration;
D O I：
10.1109/SPIES55999.2022.10082713
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The multi-energy system composed of new energy has the advantages of green and environmental protection. The hybrid energy storage system composed of pumped storage power stations and batteries is used in the wind-solar based multi energy system to realize the complementary regulation of the power generation and load side. In the working strategy of the system, in order to reduce the electric energy lost in the process of energy storage and discharge, and minimize the working times of pumps and turbines, a capacity optimal allocation strategy of energy storage system based on Fruit Fly Optimization Algorithm is proposed, taking the total investment cost of the system as the objective function. An example shows the effectiveness and applicability of the strategy. While the hybrid energy storage system meets the system performance index, the loss of electric energy in the energy storage process is the least, and it has the best economy.
引用
收藏
页码：2110 / 2114
页数：5
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