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能源岛多能互补自适应变步长SMPC分层优化调度研究

李阔 唐洋 刘博涛 黄浩城 邵贤杰 尹高俊 魏赏赏

综合智慧能源2026,Vol.48Issue(1):23-33,11.
综合智慧能源2026,Vol.48Issue(1):23-33,11.DOI:10.3969/j.issn.2097-0706.2026.01.003

能源岛多能互补自适应变步长SMPC分层优化调度研究

Research on hierarchical optimization scheduling of multi-energy complementary adaptive variable step-size SMPC for energy island

李阔 1唐洋 1刘博涛 2黄浩城 3邵贤杰 3尹高俊 3魏赏赏3

作者信息

  • 1. 中电建新能源集团股份有限公司,北京 100101
  • 2. 润电能源科学技术有限公司,郑州 450018
  • 3. 河海大学 新能源学院,江苏 常州 213200||河海大学 国家风力发电技术创新中心,江苏 常州 213200
  • 折叠

摘要

Abstract

Based on a multi-objective hierarchical optimization method,a hierarchical collaborative optimization model for the multi-energy complementary system in an offshore energy island was constructed,considering both system balance and economic efficiency of scheduling.To address the impact of the volatility and randomness of wind and solar energy on the scheduling of the offshore energy island system,the stochastic model predictive control(SMPC)method was adopted to optimize the scheduling of the offshore energy island.A scheduling method of adaptive variable step-size SMPC was proposed.In the rolling optimization link of SMPC,the real-time scheduling deviation degree was tracked through a deviation reference coefficient using the proposed method,and the rolling optimization step-size was adjusted accordingly.This addressed the problems of scheduling accuracy loss and local optimization in the rolling optimization phase of the traditional SMPC scheduling method,thereby balancing scheduling accuracy and globality.The simulation results show that this method can effectively improve the scheduling accuracy and shorten calculation time.

关键词

分层优化/海上能源岛/多能互补系统/自适应变步长/随机模型预测控制

Key words

hierarchical optimization/offshore energy island/multi-energy complementary system/adaptive variable step-size/stochastic model predictive control

分类

能源科技

引用本文复制引用

李阔,唐洋,刘博涛,黄浩城,邵贤杰,尹高俊,魏赏赏..能源岛多能互补自适应变步长SMPC分层优化调度研究[J].综合智慧能源,2026,48(1):23-33,11.

基金项目

国家自然科学基金项目(52406233) (52406233)

中国博士后科学基金面上项目(2024M750738) (2024M750738)

江苏省碳达峰碳中和科技创新专项资金项目(BT024004) (BT024004)

常州市科技计划项目(525011412)National Natural Science Foundation of China Project(52406233) (525011412)

China Postdoctoral Science Foundation General Funding Program(2024M750738) (2024M750738)

Technological Innovation Special Fund Project for Carbon Peaking and Carbon Neutrality in Jiangsu Province(BT024004) (BT024004)

Changzhou Science and Technology Plan Project(525011412) (525011412)

综合智慧能源

2097-0706

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