Distribution Network Restoration in a Multiagent Framework Using a Convex OPF Model

The ever-increasing requirement for reliability and quality of supply suggests to enable the self-healing features of modern distribution networks employing the intelligent measurement, communication, and control facilities of smart grids. In this paper, the concept of multiagent automation in smart...

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Published inIEEE transactions on smart grid Vol. 10; no. 3; pp. 2618 - 2628
Main Authors Sekhavatmanesh, Hossein, Cherkaoui, Rachid
Format Journal Article
LanguageEnglish
Published Piscataway IEEE 01.05.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Computer simulation
Convex optimization
Data buses
Distribution management
distribution network
Global optimization
Load flow
Load modeling
Mathematical model
multi-agent
Multiagent systems
Networks
Optimization
Power flow
Protocols
Restoration
restoration service
sectionalizing switch
self-healing
Smart grid
Smart grids
Switches
Switching theory
tie switch
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Abstract The ever-increasing requirement for reliability and quality of supply suggests to enable the self-healing features of modern distribution networks employing the intelligent measurement, communication, and control facilities of smart grids. In this paper, the concept of multiagent automation in smart grids is applied to build a self-healing framework to be used for restoration service. In this regard, an agent interaction mechanism is designed to build a reduced model of only those parts of the network that could participate in the restoration process. This reduced model is subject to a global optimization method, aiming at restoring a maximum of loads with minimum switching operations. This optimization problem, including power flow constraints is formulated as a convex second-order cone programming and solved using GUROBI solver. The proposed multi-agent systems-based strategy is completely scalable and leads to a global optimum solution (up to the desired accuracy) in a short time, without the need for powerful processors. The simulation studies are carried out on a 70-bus distribution network in case of multiple fault scenarios, using MATLAB/Yalmip toolbox.
AbstractList The ever-increasing requirement for reliability and quality of supply suggests to enable the self-healing features of modern distribution networks employing the intelligent measurement, communication, and control facilities of smart grids. In this paper, the concept of multiagent automation in smart grids is applied to build a self-healing framework to be used for restoration service. In this regard, an agent interaction mechanism is designed to build a reduced model of only those parts of the network that could participate in the restoration process. This reduced model is subject to a global optimization method, aiming at restoring a maximum of loads with minimum switching operations. This optimization problem, including power flow constraints is formulated as a convex second-order cone programming and solved using GUROBI solver. The proposed multi-agent systems-based strategy is completely scalable and leads to a global optimum solution (up to the desired accuracy) in a short time, without the need for powerful processors. The simulation studies are carried out on a 70-bus distribution network in case of multiple fault scenarios, using MATLAB/Yalmip toolbox.
Author Sekhavatmanesh, Hossein
Cherkaoui, Rachid
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SubjectTerms Computer simulation
Convex optimization
Data buses
Distribution management
distribution network
Global optimization
Load flow
Load modeling
Mathematical model
multi-agent
Multiagent systems
Networks
Optimization
Power flow
Protocols
Restoration
restoration service
sectionalizing switch
self-healing
Smart grid
Smart grids
Switches
Switching theory
tie switch
Title Distribution Network Restoration in a Multiagent Framework Using a Convex OPF Model
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