摘要
鉴于铁合金产品生产流程较短、工艺相对简单,对温度、压强等环境因素精度要求较为宽松,提出一种通过控制电炉生产过程调节功率需求,以响应可再生能源出力波动的联合调控模式。通过构建多阶段用电功率物理模型及日前-日内两阶段调控模式,利用仿真模拟验证联合体的盈利机制和获利空间,发现铁合金负荷企业可依靠低价风电降本增效,同时维持非风电部分功率平稳,避免给电网造成额外压力。
Considering the relatively brief and straightforward production processes of ferroalloy commodities and the lenient tolerances for environmental variables such as temperature and pressure,a novel integrated scheduling approach is put forth that leverages control over the submerged arc furnace operations to dynamically adapt the power demand in response to the variable output from renewable energy sources.Via the establishment of a multi-tiered power system physical model and the implementation of a dual-stage day-ahead and intra-day control framework,the profitability mechanism and potential revenue gains of a cooperative alliance premised upon this model are substantiated through rigorous simulation exercises.It has been ascertained that ferroalloy load enterprises can effectively decrease costs and enhance operational efficiency by capitalizing on inexpensive wind power resources,thereby maintaining a stable power load profile,save for the portion directly correlating with wind power variability,thus mitigating additional strain on the power grid infrastructure.
作者
徐峰达
王铖
潘远林
Xu Fengda;Wang Cheng;Pan Yuanlin(Zhejiang Electric Power Design Institute,Hangzhou 310012,China;Electric Power Planning&Engineering Institute,Beijing 100032,China)
出处
《太阳能学报》
北大核心
2025年第3期225-234,共10页
Acta Energiae Solaris Sinica
基金
电力规划设计总院项目(2023E00021FAG)
中国能源建设集团重点研发项目(CEEC2023-ZDYF-01)。
关键词
可再生能源
电力负荷调度
电弧炉
灵活性负荷
源荷协同
模型预测控制
renewable energy
electric load dispatching
arc furnace
flexible load
source load cooperation
model predictive control
