Novel Multiagent Based Load Restoration Algorithm for Microgrids

Xu, Yinliang; Liu, Wenxin

doi:10.1109/tsg.2010.2099675

Cited by 291 publications

(142 citation statements)

References 19 publications

Supporting

Mentioning

142

Contrasting

Order By: Relevance

“…We consider homogeneous wireless devices with a fixed transmission rate and a transmission range equal to the interference range. For typical applications in a microgrid such as load restoration, load shedding, and island identification [4], there are generally two types of information to be discovered which can be represented by different kinds of state values.…”

Section: Network Topology and Information Representationmentioning

confidence: 99%

“…Metropolis Method -The Metropolis method exploits the number of neighbors of each agent to provide a fast convergence and the robustness to network topology changes in a microgrid [4]. Each update involves all agents in A and the update of a specific agent m (m ∈ A) utilizes the state values acquired from all neighboring agents (i.e.,Ñ m (t k ) = N m ).…”

Section: Weight Matrix Designmentioning

confidence: 99%

“…The update-and-wait protocol operates in a synchronous manner and is similar to the protocol proposed for wireline networks [4]. The weight matrix design is based on the Metropolis method.…”

Section: Update-and-wait / Update-and-continuementioning

confidence: 99%

“…In order for the local decisions to be accurate, global information should be discovered by each agent with a certain accuracy via multiagent coordination. In this article, we investigate a consensus theory based multiagent coordination scheme [4], which has the following advantages:…”

Section: Introductionmentioning

confidence: 99%

“…However, for the communications over a broadcast medium, wireless network is subject to interference, which makes the information exchange unreliable. Multiagent coordination in a microgrid via power line communications [4] has been investigated without interference among different links. For wireless network where this assumption can hardly be valid, how to achieve efficient and reliable multiagent coordination in a microgrid is still an open issue.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Multiagent coordination in microgrids via wireless networks

Liang

Choi

Zhuang

et al. 2012

IEEE Wireless Commun.

View full text Add to dashboard Cite

The future smart grid is expected to be an integration of intelligent microgrids featured by localized electricity generation, storage, and consumption. Wireless communication is a promising means to facilitate pervasive microgrid monitoring and control at a high flexibility and low deployment cost. In order to avoid a single point of failure, multiagent system (MAS) based decentralized microgrid control is widely considered. In this article, we present a consensus theory based multiagent coordination scheme for information discovery in microgrids via wireless networks. The information discovery process is fully distributed such that each agent only needs to communicate with its direct neighbors. The multiagent coordination is investigated in the presence of interference due to wireless transmissions. Specifically, the communication links among multiple agents may not be established simultaneously to avoid transmission collisions. In order to assure the accuracy of the information discovered by each agent, the convergence of the multiagent coordination is studied. We present the mechanism and principles for the multiagent coordination to achieve convergence in a microgrid via wireless network based on the characteristics of the information to be discovered. Three protocols with different complexities are proposed for normal microgrid operation, which can be readily implemented to off-the-shelf wireless communication devices. The protocols are further extended to achieve microgrid fault recovery by restricting the information exchange in a disconnected region to improve recovery speed. The performance of the proposed protocols is evaluated via a case study based on the network topology and configuration of a realistic microgrid test system. Open research issues and directions are outlined.

show abstract

Section: Network Topology and Information Representationmentioning

confidence: 99%

Section: Weight Matrix Designmentioning

confidence: 99%

Section: Update-and-wait / Update-and-continuementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations