Load Frequency Control of Interconnected Power System via Multi-Agent System Method-Reference-Cited by-同舟云学术

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Load Frequency Control of Interconnected Power System via Multi-Agent System Method

Published:2017-05-09 Issue:8 Volume:45 Page:839-851
ISSN:1532-5008
Container-title:Electric Power Components and Systems
language:en
Short-container-title:Electric Power Components and Systems

Author:

Yang Shengchun¹²,Huang Chongxin³,Yu Yijun²,Yue Dong³,Xie Jun³

Affiliation:

1. School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, China

2. China Electric Power Research Institute, Nanjing, Jiangsu, China

3. Institute of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu, China

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Energy Engineering and Power Technology

Link

https://www.tandfonline.com/doi/pdf/10.1080/15325008.2015.1131764

Reference21 articles.

1. Load frequency control strategies: A state-of-the-art survey for the researcher

2. A new robust PID load frequency controller

3. Tuning of PID load frequency controller for power systems

4. Adaptive Optimal Gain Scheduling for the Load Frequency Control Problem

5. Application of GA/GA-SA based fuzzy automatic generation control of a multi-area thermal generating system

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Hierarchical bi-level load frequency control for multi-area interconnected power systems;International Journal of Electrical Power & Energy Systems;2024-01

2. Secure Signal Extraction for Lfc of Power Systems With Off-the-Shelf Redundant Communication Channels Under Fdi Attacks: A Simple But Effective Median Filtering Method;2024

3. Exploration of Operation Modes of a Thermal Power Unit across Two Power Grids;Electric Power Components and Systems;2023-02-24

4. Load frequency control under false data inject attacks based on multi-agent system method in multi-area power systems;International Journal of Distributed Sensor Networks;2022-04

5. Stochastic and Iterative Based Optimization for Enhancing Dynamic Performance of Interconnected Power System With Hybrid Energy Storage;Frontiers in Energy Research;2022-03-31

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