Name
Title | ||
|---|---|---|
Distributed Optimal Resource Management Based on the Consensus Algorithm in a Microgrid |
Abstract | ||
|---|---|---|
A microgrid is a promising approach to provide clean, renewable, and reliable electricity by integrating various distributed generations and energy storage systems into power systems. However, highly intermittent renewable generations and various load demands pose new challenges to the optimal resource management in a microgrid. This paper proposes a fully distributed control strategy based on the consensus algorithm for the optimal resource management in an islanded microgrid. The proposed strategy is implemented through a multiagent system framework, which only requires information exchange among neighboring agents through a local network. The objective is achieved through a two-level control strategy. The upper control level is a consensus-based optimization algorithm that discovers the reference of optimal power generation or demand while maintaining the supply-demand balance. The lower control level is responsible for reference tracking of the associated component. Simulation results in the IEEE 14- and 162-bus systems are presented to demonstrate the effectiveness of the proposed control strategy. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/TIE.2014.2356171 | IEEE Transactions on Industrial Electronics |
Keywords | Field | DocType |
optimisation,power distribution control,multiagent system framework,power distribution faults,renewable generation (rg),supply-demand balance,ieee 162-bus systems,consensus algorithm,two-level control,distributed control,optimal power generation,multi-agent systems,distributed power generation,consensus-based optimization algorithm,reference tracking,distributed optimal resource management,information exchange,power generation control,islanded microgrid,ieee 14-bus systems,optimal resource management,cost function,reliability,algorithm design and analysis,decentralized control,resource management,multi agent systems | Resource management,Algorithm design,Decentralised system,Information exchange,Electric power system,Control engineering,Distributed algorithm,Engineering,Electricity generation,Microgrid,Distributed computing | Journal |
Volume | Issue | ISSN |
62 | 4 | 0278-0046 |
Citations | PageRank | References |
26 | 0.91 | 14 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yinliang Xu | 1 | 29 | 1.97 |
| Zhicheng Li | 2 | 333 | 27.40 |