Dynamic weighted multi-objective optimization method for coordinated control of wind power and battery energy storage system

作者：Li, Zhonghao; Zhang, Peichao^*; Ma, Jun; Fang, Chen

来源：Automation of Electric Power Systems, 2016, 40(12): 94-99 and 206.

DOI：10.7500/AEPS20150725005

• Battery energy storage system (BESS)
• Battery energy storage systems
• Co-ordinated control
• Energy storage systems
• Entropy weight method
• Optimal weighting
• Power fluctuations
• Simulation studies

The coordinated control of wind power and battery energy storage system (BESS) needs to deal with multiple inconsistent sub-objectives. The sub-objectives are weighted by weighting factors, which will greatly influence the control effects. Firstly, it is verified by simulations that, constant weighting factors-based multi-objective optimization control cannot adapt the random nature of wind power. Secondly, a dynamic weighting method is proposed, which is based on gridding searching of the optimal weighting factors. In order to determine the optimal weighting factors, an evaluation method by using the membership function and entropy weight method is proposed. It is shown by simulation studies that the proposed method has significant effects on the output power and state of charge (SOC) control of BESS while smoothing wind power, thus adaptively adjusting the weighting factor of each objective according to the wind power fluctuations, the SOC and the charge/discharge power of BESS.

• 出版日期2016
• 单位上海交通大学