电力系统及其自动化学报2024，Vol.36Issue(8)：48-59,12.DOI:10.19635/j.cnki.csu-epsa.001435
基于A-MPC的MMC-HESS平抑光伏功率波动优化策略
Optimization Strategy of MMC-HESS Based on A-MPC to Stabilize Photovoltaic Power Fluctuation
摘要
Abstract
To better solve the problem of photovoltaic(PV)power fluctuation,a PV power fluctuation stabilization and power instruction allocation optimization strategy is proposed. First,combined with the modular multilevel converter-hy-brid energy storage system(MMC-HESS),adaptive model predictive control is put forward to stabilize the fluctuation of PV power in real time,and the objective function is adaptively adjusted according to the energy storage state. Then,a variational mode decomposition algorithm optimized by the rime algorithm is put forward to double decompose the to-tal output of energy storage and complete the initial allocation of MMC-HESS power. Finally,the power allocation in-struction is bi-level optimized by charging and discharging consistency optimization,power adjustment and fuzzy con-trol. The simulation results of an example show that the proposed strategy can effectively stabilize the PV power fluctua-tion,protect the energy storage and optimize the operation of HESS.关键词
模块化多电平换流器/混合储能/自适应模型预测控制/霜冰算法优化的变分模态分解/双层优化Key words
modular multilevel converter(MMC)/hybrid energy storage/adaptive model predictive control/variational mode decomposition optimized by rime algorithm/bi-level optimization分类
信息技术与安全科学引用本文复制引用
霍俊达,王毅,孟建辉..基于A-MPC的MMC-HESS平抑光伏功率波动优化策略[J].电力系统及其自动化学报,2024,36(8):48-59,12.基金项目
国家自然科学基金资助项目(52077079) （52077079）
国家电网公司科技项目(SGJBZN00AJJS2200052) （SGJBZN00AJJS2200052）
