内蒙古电力技术2026，Vol.44Issue(2)：36-47,12.DOI:10.19929/j.cnki.nmgdljs.2026.0019
面向政策退坡的长时储能系统多场景经济优化与容量配置研究
Research on Multi-Scenario Economic Optimization and Capacity Allocation of Long-Term Energy Storage System for Policy Recession
摘要
Abstract
After the cancellation of the mandatory storage allocation policy in 2025,the energy storage industry is transforming from"policy-driven"to"market-driven"and the economic optimization and multi-scenario capacity allocation of long-term energy storage system have restricted its commercialization.To address this issue,firstly,based on the levelized cost of energy(LCOE)theory,the objective function is determined,and the dynamic parameters such as policy slope coefficient,technical cost and market electricity prices are integrated.The improved particle swarm optimization algorithm is used to solve the high-dimensional optimization problem,constructing a dynamic coupling model of"policy-technology-market"with three factors.Secondly,the single factor disturbance experiment and extreme scenario stress tests are carried out.Finally,the proposed model is compared with the traditional static model,and counterfactual simulation and actual project verification are carried out.The results show that the dynamic coupling model with three factors has passed the actual project test,showing significant advantages over the traditional static model.关键词
政策退坡/长时储能/容量配置/平准化度电成本/多场景优化Key words
policy decline/long-term energy storage/capacity configuration/levelized cost of energy(LCOE)/multi-scenario optimization分类
信息技术与安全科学引用本文复制引用
陈锋,路小敏,王文亮,周浩,王铭泽..面向政策退坡的长时储能系统多场景经济优化与容量配置研究[J].内蒙古电力技术,2026,44(2):36-47,12.基金项目
河南省教育厅高等学校重点科研项目计划"'四高四争先'驱动下中深层地热供能高效可持续开发利用关键技术研究"(26B480004) （26B480004）
