Applications of artificial intelligence in power system operation, control and planning: a review  

作　　者：Utkarsh Pandey Anshumaan Pathak Adesh Kumar Surajit Mondal 

机构地区：[1]Department of Electrical and Electronics Engineering,School of Advanced Engineering,University of Petroleum and Energy Studies,Dehradun,248007,India

出　　处：《Clean Energy》2023年第6期1199-1218,共20页清洁能源（英文）

摘　　要：As different artificial intelligence(AI)techniques continue to evolve,power systems are undergoing significant technological changes with the primary goal of reducing computational time,decreasing utility and consumer costs and ensuring the reliable operation of an electrical power system.AI techniques compute large amounts of data at a faster speed than numerical optimization methods with higher processing speeds.With these features,AI techniques can further automate and increase the performance of power sys-tems.This paper presents a comprehensive overview of diverse AI techniques that can be applied in power system operation,control and planning,aiming to facilitate their various applications.We explained how AI can be used to resolve system frequency changes,maintain the voltage profile to minimize transmission losses,reduce the fault rate and minimize reactive current in distributed sys-tems to increase the power factor and improve the voltage profile.

关 键 词：artificial neural network genetic algorithm fuzzy logic adaptive neuro-fuzzy interference system artificial bee colony optimization ant colony optimization particle swarm optimization 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TM7[自动化与计算机技术—控制科学与工程]