Battery Energy Storage System Based on Incremental Cost Consensus Algorithm for the Frequency Control

• Main Authors: Chen Chen, Yu-Qing Bao, Xue-Hua Wu, Beibei Wang, Cheng Shen
• Format: Article
• Language: English
• Published: IEEE 2019-01-01
• Series: IEEE Access
• Subjects: Frequency control; battery energy storage system; incremental cost consensus algorithm; life-loss cost; genetic algorithm
• Online Access: https://ieeexplore.ieee.org/document/8863495/
• ISSN: 2169-3536

In the past few years, Battery Energy Storage System (BESS) has been found of great potential in supporting the frequency control. Increasing attentions have been given to the control strategy of BESS. In this paper, a distributed control method considering the life-loss cost is proposed for BESS. Based on the multi-agent system, the Incremental Cost Consensus (ICC) algorithm is applied to minimize the life-loss cost of BESS. In order to improve the control performance, parameters of the system are optimized by Genetic Algorithm (GA). The simulation results are provided to verify the effectiveness of the proposed approach.