综合智慧能源2026，Vol.48Issue(3)：1-14,14.DOI:10.3969/j.issn.2097-0706.2026.03.001
新型电力系统建模、控制与源荷预测研究进展
Research progress on modeling,control,and source-load prediction of new-type power systems
摘要
Abstract
Currently,the global energy structure is undergoing a profound transformation.Renewable energy sources represented by wind and solar power are increasingly becoming key components of power supply due to their cleanliness and sustainability.However,the inherent intermittency and volatility of these energy resources pose significant challenges to the frequency,voltage,and overall stability of power systems,threatening the security and reliability of power supply.To address these challenges effectively,it is crucial to integrate advanced technologies and methods to ensure reliable and efficient operation of power systems.The roles of simulation technologies,frequency regulation strategies,and artificial intelligence in new-type power systems are systematically analyzed.The evolution of hybrid simulation,from traditional serial methods to high-performance parallel and intelligent approaches,is analyzed in depth.The key roles of virtual synchronous generators and multi-type energy storage in mitigating inertia reduction and frequency regulation are examined.Additionally,recent advances and potential of artificial intelligence in renewable energy power generation prediction,load prediction,and smart microgrid scheduling are comprehensively evaluated.It is emphasized that the supporting roles of energy storage technologies and artificial intelligence should be fully leveraged,and more flexible market mechanisms and resource allocation systems should be established,thereby laying a foundation for the stable operation of new-type power systems.关键词
新型电力系统/可再生能源/电力系统仿真/调频/发电预测/能源管理系统/人工智能/储能/智能微电网调度Key words
new-type power system/renewable energy/power system simulation/frequency regulation/power generation regulation/energy management system/artificial intelligence/energy storage/smart microgrid scheduling分类
能源科技引用本文复制引用
丁新宇,周庆才,迟耀丹,张尧,王俊喜,王超,贾红丹,林国雄..新型电力系统建模、控制与源荷预测研究进展[J].综合智慧能源,2026,48(3):1-14,14.基金项目
吉林省科学技术厅基金项目(20240304183SF) Jilin Provincial Science and Technology Department Fund Project(20240304183SF) （20240304183SF）
