Population extremal optimization-based extended distributed model predictive load frequency control of multi-area interconnected power systems-Reference-Cited by-同舟云学术

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Population extremal optimization-based extended distributed model predictive load frequency control of multi-area interconnected power systems

Published:2018-11 Issue:17 Volume:355 Page:8266-8295
ISSN:0016-0032
Container-title:Journal of the Franklin Institute
language:en
Short-container-title:Journal of the Franklin Institute

Author:

Chen Min-Rong,Zeng Guo-Qiang,Xie Xiao-Qing

Funder

Zhejiang Provincial Natural Science Foundation of China

National Natural Science Foundation of China

Zhejiang Province Science and Technology Planning Project

Publisher

Elsevier BV

Subject

Applied Mathematics,Computer Networks and Communications,Signal Processing,Control and Systems Engineering

Reference63 articles.

1. Load frequency control strategies: a state-of-the-art survey for the researcher;Shayeghi;Energy Convers. Manag.,2009

2. A literature survey on load-frequency control for conventional and distribution generation power systems;Pandey;Renew. Sustain. Energy Rev.,2013

3. Critical research areas on load frequency control issues in a deregulated power system: a state-of-the-art-of-review;Pappachen;Renew. Sustain. Energy Rev.,2017

4. Decentralized model predictive based load frequency control in an interconnected power system;Mohamed;Energy Convers. Manag.,2011

5. Distributed load frequency control in an interconnected power system using ecological technique and coefficient diagram method;Mohamed;Int. J. Electr. Power Energy Syst.,2016

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