Smart distribution network restoration using multi agent system
01 Dec 2016-pp 1-6
TL;DR: Distributed restoration strategy for a power system is evaluated in the present paper evaluating the benefit from a traditional centralized scheme in terms of speed and reliability giving economical solution to the problem.
Abstract: Distributed restoration strategy for a power system is evaluated in the present paper. This evaluates the benefit from a traditional centralized scheme in terms of speed and reliability giving economical solution to the problem. Multi agent system approach is exploited in this work to get solution faster while reducing the computational burden. Restoration problem is a multi-objective, multi-constraint problem which changes from node to node depending on their characteristics (load bus or generator bus) which can be easily incorporated in a multi agent system with individual agent requirements. This will increase the speed of restoration providing its the capability to self restore utilizing maximum capacity in given condition.
Citations
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TL;DR: The results show that the proposed approach is able to recover all the nodes of the grid, within the simulation conditions, and it is seen that the multi-agent system directs the work load exactly to the failure point, preventing the involvement of the entire grid to the self-healing process.
Abstract: This paper presents a decentralized algorithm for application in the smart grids self-healing problem, at the distribution level. The algorithm implementation is made using a reactive multi-agent system, which models the electrical grid in terms of autonomous agents which perform the algorithm operations in a distributed and parallel way. To validate this algorithm, two distribution network test models are used: a 15 bus model and a 33 bus model — standardized by IEEE. The results are obtained by means of computational simulation and shown in this paper, to each one of the network models. The results show that the proposed approach is able to recover all the nodes of the grid, within the simulation conditions. Moreover, it is seen that the multi-agent system directs the work load exactly to the failure point, preventing the involvement of the entire grid to the self-healing process.
4 citations
Cites background from "Smart distribution network restorat..."
...Em outra abordagem descentralizada, o estudo [8] também propõe uma estratégia de autorrecuperação baseada em SMA....
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...[8] 3 5 barras Agentes de carga negociam com agentes geradores para seres religados; decisão a cargo dos agentes geradores....
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...Por questões de espaço, foram resumidas as principais caracterı́sticas de [7, 8, 12, 13, 14] no quadro da Figura 1....
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...Dessa forma, é notável como muitos métodos de inteligência artificial e computacional são largamente usados pela comunidade cientı́fica para lidar com esse problema de natureza combinatória [8]....
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01 Sep 2018
TL;DR: The simulation results show that the abnormal outage restoration strategy of this paper can take into account the uncertain risks in the process of distribution network restoration and maximize the power supply in the power loss area under the premise of maximizing the economic restoration benefit.
Abstract: The risk, cost and profit factors of the automatic distribution network are analyzed in this paper, based on which, the multi-objective optimization model is established by evaluating the risk of the restoration sub-process, the restoration control cost and the restoration benefit. The heuristic algorithm based on the greedy strategy is used to optimize the distribution network restoration problem. The simulation results show that the abnormal outage restoration strategy of this paper can take into account the uncertain risks in the process of distribution network restoration and maximize the power supply in the power loss area under the premise of maximizing the economic restoration benefit, Thereby improving the reliability of the distribution network and the economics of the restoration process.
1 citations
Cites background from "Smart distribution network restorat..."
...The objectives of the current distribution network restoration researches mainly include minimizing structural change, maximizing load restoration, giving priority to important load restoration, restoring maximum load, minimizing system network loss, making the system most stable, etc[1]-[9]....
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28 Jun 2021
TL;DR: In this paper, a reactive multi-agent system based on smart grid characteristics is proposed to provide self-healing feature in a decentralized manner using the tie lines available in the grid.
Abstract: In general, conventional power distribution systems lack communication and automation capabilities, making almost impossible the provision of features where self topology reconfiguration is necessary. This scenario can be changed through the emergence of smart grids technologies, where those capabilities are mandatory. An example of feature possible by smart grids technology is the "self-healing", in other words, the automatic loads restoration of the grid affected by a fault. This paper describes and models a reactive multi-agent system based in smart grid characteristics to provide the self-healing feature. Following a sequence of steps, the modeled multi-agent system managed to perform the network reconfiguration in a decentralized manner, using the tie lines available in the grid. To validate the proposal, 20 different computational simulations scenarios were implemented for two test systems - 33 and 119 bus - defined in the literature. The obtained results presented and discussed in this paper ensure that the approach worked as expected.
12 Oct 2022
TL;DR: In this article , a restoration switching algorithm which utilizes front root traversal can search the feeder tree to find the transfer routes which can maximum the restore load, then merge the transfer route and get the solution that has the minimum operations.
Abstract: When a fault occurs in power distribution system, Distribution Management System (DMS) isolates the fault immediately. Then the load outside the faulty point has to be restored. As the distribution lines and devices have load limits, a simple restoration by closing the normally open switch can not restore all the loads when the distribution system is in a heavy load condition. Normally heuristic methods are used to solve the problem, but they can not guarantee the optimal solution and are complex and time consuming. A restoration switching algorithm which utilizes front root traversal can search the feeder tree to find the transfer routes which can maximum the restore load, then merge the transfer routes and get the solution that have the minimum operations. This method can make the service restoration through load transfer as much as possible with minimum operation by a fast and simple way and can be utilized in real-time application.
References
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01 Jan 1995
TL;DR: This paper explores a particular type of rational agent, a BeliefDesire-Intention (BDI) agent, and integrates the theoretical foundations of BDI agents from both a quantitative decision-theoretic perspective and a symbolic reasoning perspective.
Abstract: The study of computational agents capable of rational behaviour has received a great deal of attention in recent years. Theoretical formalizations of such agents and their implementations have proceeded in parallel with little or no connection between them. Tkis paper explores a particular type of rational agent, a BeliefDesire-Intention (BDI) agent. The primary aim of this paper is to integrate (a) the theoretical foundations of BDI agents from both a quantitative decision-theoretic perspective and a symbolic reasoning perspective; (b) the implementations of BDI agents from an ideal theoretical perspective and a more practical perspective; and (c) the building of large-scale applications based on BDI agents. In particular, an air-trafflc management application will be described from both a theoretical and an implementation perspective.
3,050 citations
TL;DR: In this article, an expert system is developed which can be utilized as an online aid to system operators in a distribution SCADA (supervisory control and data acquisition) environmental, implemented in Prolog.
Abstract: An application of expert system techniques to the restoration of distribution systems is reported. Primary feeders are typically radial in structure. To increase system reliability, neighboring feeders are connected through a normally open tie switch. When load zones on a feeder interrupted due to a fault, system operators need to identify neighboring feeders and try to restore customers through the tie switches. To restore the maximum number of zones, several steps are followed: group restoration, zone restoration and, if necessary, load transfer. Based on the methodology, an expert system is developed which can be utilized as an online aid to system operators in a distribution SCADA (supervisory control and data acquisition) environmental. The proposed expert system is implemented in Prolog. Knowledge representation, portability of the system, and computational efficiency are discussed. Several examples illustrate the capabilities of the system. >
443 citations
"Smart distribution network restorat..." refers background in this paper
...Traditionally it started with expert system [1] which is further improved with hybrid system[2] with part integration of advanced computer analysis with expert system....
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TL;DR: The development of agents and behaviors of the agents are described, including communication of agents, and a MAS that restores a power system after a fault is provided.
Abstract: The goal to provide faster and faster restoration after a fault is pushing the technical envelope related to new algorithms. While many approaches use centralized strategies, the concept of multi-agent systems (MAS) is creating a new option related to distributed analyses for restoration. This paper provides details on a MAS that restores a power system after a fault. The development of agents and behaviors of the agents are described, including communication of agents. The MAS is tested on two test systems and facilitates both full and partial restoration, including load prioritization and shedding.
303 citations
"Smart distribution network restorat..." refers background in this paper
...Multi agent systems(MAS) are well suited to do distributed computing[8] while giving rise to sub optimal solution....
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TL;DR: In this paper, an operator-permissive, automated approach to the restoration of distribution systems after a blackout is presented. But, it is not applicable to radially configured systems.
Abstract: This paper solves the distribution system restoration problem using dynamic programming with state reduction. The algorithm is an operator-permissive, automated approach to the restoration of distribution systems after a blackout. The timing and selection of feeders to be energized are represented as states in a dynamic programming formulation. An enhanced dynamic programming method reduces the number of states by grouping states that are close to each other and selecting the best state. The algorithm was tested on an 8 feeder/32 load distribution system. The method is applicable to radially configured systems.
134 citations
"Smart distribution network restorat..." refers background in this paper
...Later many restoration approaches,like dynamic programming[5] , automation support[6] and network reconfiguration[7], are investigated for fast recovery of the system....
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01 May 1995
TL;DR: In this article, two approaches using artificial intelligence, i.e., the artificial neural network (ANN) approach and the pattern recognition method, are developed to determine the restoration plan in a very efficient manner.
Abstract: Service restoration of a distribution system is investigated by using artificial intelligence. The purpose is to reach a proper restoration plan for the unfaulted zone after a fault has been identified and isolated. To reduce the outage period and improve service reliability, the restoration plan must be devised in a very short period. In the paper, two approaches using artificial intelligence, i.e. the artificial neural network (ANN) approach and the pattern recognition method, are developed to determine the restoration plan in a very efficient manner. The effectiveness of the proposed approaches is demonstrated by the restoration of electricity service following a fault in a distribution system in Taipei, Taiwan. It is concluded from the example that a proper restoration plan can be reached very efficiently using the proposed approaches. Therefore, it can be used by distribution system operators to reach a restoration plan.
67 citations
"Smart distribution network restorat..." refers methods in this paper
...With advancement of computational efficiency heuristic approaches[3] came into existence....
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