| 注册
首页|期刊导航|发电技术|人工智能在电力系统运行模拟加速中的应用综述

人工智能在电力系统运行模拟加速中的应用综述

陈艺璇 王嘉阳 卓映君 卢斯煜 周保荣

发电技术2025,Vol.46Issue(3):467-481,15.
发电技术2025,Vol.46Issue(3):467-481,15.DOI:10.12096/j.2096-4528.pgt.25071

人工智能在电力系统运行模拟加速中的应用综述

Review of Artificial Intelligence Applications in Accelerating Operational Simulation of Power Systems

陈艺璇 1王嘉阳 1卓映君 1卢斯煜 1周保荣1

作者信息

  • 1. 南方电网科学研究院有限责任公司,广东省 广州市 510663||直流输电技术全国重点实验室,广东省 广州市 510663
  • 折叠

摘要

Abstract

[Objectives]With the rising penetration of renewable energy,it is imperative to conduct power and energy balance analysis,design planning schemes,and evaluate market mechanisms through detailed time-series operational simulation.However,due to the randomness and volatility of renewable energy and the continuous expansion of power grid,operational simulation faces challenges in balancing computational speed and accuracy.Artificial intelligence(AI),with its exceptional abilities in representation,generalization,and self-learning,provides new solutions to the current challenges.Therefore,the current status and necessity of the application of AI in accelerating the operational simulation of power systems are systematically analyzed,and the future development is prospected.[Methods]First,from a mathematical perspective,the concepts of acceleration methods are classified into scenario aggregation,unit aggregation,constraint reduction,and algorithm acceleration.Second,the necessity of applying AI across different aspects is thoroughly analyzed,addressing the crucial question of"why AI is needed".Then,current AI applications in accelerating operational simulation and their advantages are systematically summarized.Finally,recommended AI application scenarios in power systems and future prospects are presented.[Conclusions]AI can provide effective support for accelerating operational simulation from multiple aspects.It shows particular strengths in handling non-linear correlations,substituting expert experience,and characterizing fuzzy rules.

关键词

新型电力系统/人工智能(AI)/运行模拟/机组聚合/场景聚类/冗余约束删除/算法加速/机器学习

Key words

new-type power system/artificial intelligence(AI)/operational simulation/unit aggregation/scenario clustering/redundant constraint deletion/algorithm acceleration/machine learning

分类

能源与动力

引用本文复制引用

陈艺璇,王嘉阳,卓映君,卢斯煜,周保荣..人工智能在电力系统运行模拟加速中的应用综述[J].发电技术,2025,46(3):467-481,15.

基金项目

国家自然科学基金项目(U22B6007) (U22B6007)

南方电网公司科技项目(ZBKJXM20240140).Project Supported by National Natural Science Foundation of China(U22B6007) (ZBKJXM20240140)

China Southern Power Grid Science and Technology Project(ZBKJXM20240140). (ZBKJXM20240140)

发电技术

2096-4528

访问量0
|
下载量0
段落导航相关论文