基于离散粒子群算法的电力芯片电路运行参数优化  

Optimization of operating parameters of power chip circuit based on discrete particle swarm optimization

作　　者：何雨旻 辛明勇 王宇 徐长宝 HE Yumin;XIN Mingyong;WANG Yu;XU Changbao(Electric Power Research Institute of Guizhou Power Grid Co.,Ltd.,Guiyang 550002,China)

机构地区：[1]贵州电网有限责任公司电力科学研究院,贵州贵阳550002

出　　处：《电子设计工程》2024年第11期169-172,178,共5页Electronic Design Engineering

基　　金：国家重点研发计划(2020YFB0906000,2020YFB0906001);贵州电网有限公司科技项目(GZKJXM20200720)。

摘　　要：电力芯片电路运行中受到不确定因素的干扰,信噪比较低。为此基于离散粒子群算法提出了一种新的电力芯片电路运行参数优化方法,分析输出功率和发电功率,根据计算结果得到目标函数,确定离散粒子群的分布状态,平行转换最优粒子,建立参数序列,构建电力芯片电路运行参数优化模型,提取运行参数特征,二次优化调试数据,剔除异常数据,建立离散阵列模型,通过数据扫描实现参数优化。实验结果表明,所设计方法在面对连续运行电路数据和随机电路数据时,具有极好的优化效果,平均绝对值误差低于0.10,均方根误差低于0.20,信噪比较高,具有较好的效果。The power chip circuit is interfered by uncertain factors during operation,and the signal⁃to⁃noise ratio is low.Therefore,based on discrete particle swarm optimization algorithm,a new optimization method of power chip circuit operation parameters is proposed,which analyzes the output power and power generation power,obtains the objective function according to the calculation results,determines the distribution state of discrete particle swarm,converts the optimal particles in parallel,establishes the parameter sequence,constructs the power chip circuit operation parameter optimization model,extracts the characteristics of operation parameters,optimizes the debugging data twice,and eliminates abnormal data,The discrete array model is established,and the parameters are optimized through data scanning.The experimental results show that the design method has excellent optimization effect in the face of continuous operation circuit data and random circuit data,the average absolute value error is less than 0.10,the root mean square error is less than 0.20,and the signal⁃to⁃noise ratio is high.

关 键 词：离散粒子群算法 电力芯片 电路运行 运行参数 参数优化 

分 类 号：TN98[电子电信—信息与通信工程]