Distributed state estimation for multi-agent based active distribution networks

Nguyen, Phuong H.; Kling, W.L.

doi:10.1109/pes.2010.5590226

Cited by 17 publications

(9 citation statements)

References 17 publications

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“…However, classic optimization approaches have a high computational complexity [5]. Also, few studies have been made to propose a multi-agent approach to solve the state estimation problem by applying a decomposition of the problem in smaller problems easier to solve, followed by an aggregation of these solutions [6], [7], [8].…”

Section: ) Kirchhoff's Current Lawmentioning

confidence: 99%

Principle and evaluation of a self-Adaptive Multi-Agent System for State Estimation of electrical distribution network

Perles

Camilleri

Gleizes

et al. 2016

2016 World Congress on Sustainable Technologies (WCST)

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OATAO is an open access repository that collects the work of Toulouse researchers and makes it freely available over the web where possible. This is an author-deposited version published in : http://oatao. Abstract-In our daily life, electricity becomes more and more important. Mainly for environmental concerns, governments tend to encourage integration of generators which rely on renewable energy sources. Therefore, it is necessary to move from present electrical networks to smarter ones. These issues have contributed to the development of the concept of Smart Grid. One might well ask the question: how to add a layer of intelligence on electrical networks as we know them?The work presented in this paper is mainly focused on the State Estimation as a way to observe the evolution of low voltage or medium voltage disturbances in order to mitigate them using innovative regulation functions. The Atena platform presented in this study has shown the feasibility and some advantages of using an adaptive multi-agent system for the estimation of the network state within a reasonable time, with encouraging accuracy for voltage regulation, with a linear complexity and with the capacity to adapt itself to changes that can occur in the network. Each agent has only a local perception of the grid and interacts with its immediate neighbors according to the network topology, without any information on the global state.

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Section: ) Kirchhoff's Current Lawmentioning

confidence: 99%

Principle and evaluation of a self-Adaptive Multi-Agent System for State Estimation of electrical distribution network

Perles

Camilleri

Gleizes

et al. 2016

2016 World Congress on Sustainable Technologies (WCST)

View full text Add to dashboard Cite

show abstract

“…However, controllers at lower levels would only require state information within the part of the network concerned. In fact, studies have shown that running multiple state estimations on smaller areas in parallel can significantly improve the convergence speed and robustness than a centralised state estimation [7]. To achieve this, PMUs are installed at the boundaries between the divided networks to synchronise the results for complete network observability.…”

Section: Three-phase State Estimationmentioning

confidence: 99%

Synchrophasor applications for distributed energy resource connection and efficient grid operation

Wang¹,

Wilson²,

Venkata³

et al. 2012

CIRED 2012 Workshop: Integration of Renewables Into the Distribution Grid

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“…If problems arise in the network ANM schemes can make decisions upon the electrical assets to improve network operation, such as making decisions on DG operations, to mitigate their operational problems. This could allow for the increase in DG connections to continue within distribution networks, without the need for costly reinforcement as well as reducing connection expenses [5] Recent studies have demonstrated that ANM schemes are capable to create up to two or three times more capacity to host new generation and demand [6] The UK Orkney islands ANM project has been implemented to allow generators to export more power to the grid, thermal constraint management as a single operational objective rather than the full state of the network has been managed in an active way, this has allowed for a reduction in communication and the complexity of solutions, allowing for the autonomous scheme to run smoothly and securely in a timely fashion [7] Collins etc. has addressed the voltage regulation issues utilizing a fully decentralized ANM system.…”

Section: Introductionmentioning

confidence: 99%

Integrated Voltage and Power Flow Management Considering the Cost of Opera in Active Distribution Networks

Xu¹,

Guo²,

Wei³

et al. 2016

Journal of Electrical Engineering and Technology

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-The increasing penetration of distributed energy resources on the distribution networks have brought a number of technical impacts where voltage and thermal variations have been identified as the dominant effects. Active network management in distribution networks aims to integrate distributed energy resources with flexible network management so that distributed energy resources are organized to make better use of existing capacity and infrastructure. This paper propose active solutions which aims to solve the voltage and thermal issues in a distributed manner utilizing a collaborative approach. The proposed algorithms have been fully tested on a distribution network with distributed generation units.

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Distributed state estimation for multi-agent based active distribution networks

Cited by 17 publications

References 17 publications

Principle and evaluation of a self-Adaptive Multi-Agent System for State Estimation of electrical distribution network

Principle and evaluation of a self-Adaptive Multi-Agent System for State Estimation of electrical distribution network

Synchrophasor applications for distributed energy resource connection and efficient grid operation

Integrated Voltage and Power Flow Management Considering the Cost of Opera in Active Distribution Networks

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