电力需求侧管理2026，Vol.28Issue(3)：1-6,6.DOI:10.3969/j.issn.1009-1831.2026.03.001
不确定性下新能源消纳资源智能调控研究
Research on intelligent regulation of new energy consumption resources under uncertainty
摘要
Abstract
Aiming at the accommodation challenges of high-proportion new energy integration into power systems,an intelligent regulation method for new energy accommodation resources under uncertainty is proposed.A joint probability model of wind and photovoltaic output is constructed based on Monte Carlo simulation and Copula theory to quantify new energy uncertainty.A refined model of multiple adjustable resources such as energy storage and electric vehicle clusters is established,and their operational characteristics and dispatchable potential are analyzed.A three-layer optimization architecture is designed:in the day-ahead layer,two-stage stochastic programming is used to formu-late the dispatch plan;in the intra-day layer,rolling correction is conducted based on model predictive control;and in the real-time layer,power balance is achieved through distributed feedback.Simulation results show that the proposed strategy significantly improves new ener-gy accommodation,with wind power accommodation reaching 96.8%and photovoltaic accommodation reaching 94.2%,increased by 14.5 and 17.7 percentage points respectively;meanwhile,total operation costs are reduced by 8.5%compared to traditional strategies.The effec-tiveness of the proposed method in enhancing accommodation rates,improving operational economy,and increasing dispatch flexibility is verified,providing theoretical basis and technical support for optimal operation of high-proportion new energy power systems.关键词
新能源消纳/智能调控/蒙特卡洛模拟/Copula理论/优化运行Key words
new energy accommodation/intelligent regulation and control/monte carlo simulation/Copula theory/optimized operation分类
信息技术与安全科学引用本文复制引用
吕云彤,陶鹏,冀明,王志涛,霍伟,王新健,高赐威..不确定性下新能源消纳资源智能调控研究[J].电力需求侧管理,2026,28(3):1-6,6.基金项目
国网河北省电力有限公司公司科技项目(5204YF24000M) （5204YF24000M）
