An Economic Dispatch Method for Power System Based on Distributed Mutual-Fed-Consensus

This paper presents a distributed algorithm based on mutual feedback mechanism for economic dispatch problem of power system. In such a mutual feedback mechanism, the average of the load demand and power generated are estimated, respectively. Simulation results on standard test cases show the convergence and effectiveness of the proposed algorithm.

Authors

Institutions

Publication Details

Published
2024-11-26
DOI
https://doi.org/10.1109/icamechs63130.2024.10818821
Citations
1
Primary Topic
Power Systems and Renewable Energy
Type
article
Field-Weighted Citation Impact
0.17

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An Economic Dispatch Method for Power System Based on Distributed Mutual-Fed-Consensus

Xiangjun Li, Panpan Zhang, Bo Li
1 citations
Power Systems and Renewable Energy
0.17
article

An Economic Dispatch Method for Power System Based on Distributed Mutual-Fed-Consensus

Xiangjun Li, Panpan Zhang, Bo Li
article en
1 citations

Abstract

This paper presents a distributed algorithm based on mutual feedback mechanism for economic dispatch problem of power system. In such a mutual feedback mechanism, the average of the load demand and power generated are estimated, respectively. Simulation results on standard test cases show the convergence and effectiveness of the proposed algorithm.

North China Electric Power University (CN), Northeast Electric Power University (CN)
National Key Research and Development Program of China
Openalex Percentile: Top 41%
Power Systems and Renewable Energy
0.17
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.