摘要
在火电机组-混合储能系统模型中,因只考虑电池组荷电状态,导致传统模型的控制稳定性较差。文章设计了一种基于鲸鱼优化算法的火电机组-混合储能系统协调控制方法,采用两相正交静止坐标系建立了包含电池组荷电状态、超级电容器电压及火电机组输出功率的状态方程模型,分析研究了火电机组-混合储能系统的充放电特性。为优化充放电特性,文章引入鲸鱼优化算法,并构建了综合考虑火电机组和混合储能系统寿命损耗的协调控制指标。在协调控制中,需遵循相关细则,根据日补偿费用阈值,系统能智能分配协调控制任务,实现了火电机组与混合储能系统的协调控制。试验结果表明,在模拟故障后,设计方法相较于文献[1-4]控制的火电机组-混合储能系统,功率波动幅度小,恢复稳定时间仅需0.5 h。24 h时,该设计方法的容量配置效率达87%,较其他方法最高效率81%有显著提升,说明鲸鱼优化算法能够提高系统的稳定性。
In the hybrid energy storage system model of thermal power units,the traditional model has poor control stability due to only considering the state of charge of the battery pack.The article proposes a coordinated control method for thermal power units and hybrid energy storage systems based on whale optimization algorithm,a state equation model is established using a two phase orthogonal stationary coordinate system,which includes the state of charge of the battery pack,supercapacitor voltage,and output power of the thermal power unit,the charging and discharging characteristics of the thermal power unit hybrid energy stor⁃age system are analyzed and studied.To optimize the charging and discharging characteristics,the article introduces the Whale Optimization Algorithm and constructs a coordinated control index that comprehensively considers the life loss of thermal power units and hybrid energy storage systems.In coordinated control,relevant rules must be followed,and based on the daily compensa⁃tion cost threshold,the system can intelligently allocate coordinated control tasks,achieving coordinated control between thermal power units and hybrid energy storage systems.The experimental results show that compared with the hybrid energy storage system controlled by thermal power units in references[1-4],the design method has smaller power fluctuation amplitude and only re⁃quires 0.5 hours to restore stability after simulating faults.At 24 hours,the capacity configuration efficiency of this design method reached 87%,which is significantly higher than the highest efficiency of 81%of other methods,indicating that the whale optimiza⁃tion algorithm can improve the stability of the system.
作者
金征
周家峰
JIN Zheng;ZHOU Jiafeng(Southwest Electric Power Design Institute Co.,Ltd.of China Power Engineering Consulting Group,Chengdu 610021,China)
出处
《机电技术》
2025年第3期12-17,共6页
Mechanical & Electrical Technology
关键词
鲸鱼优化算法
火电机组
混合储能系统
充放电特性
协调控制
控制指标
Whale optimization algorithm
Thermal power unit
Hybrid energy storage system
Charge and discharge charac⁃teristics
Coordination control
Control index
