A Multi-agent System Approach to Power System Topology Verification
The paper deals with power system topology verification, being an important problem in real-time power system modeling. In the paper, the approach with use of multi-agent system is proposed. At the beginning, benefits from utilization of the agent technol
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Abstract. The paper deals with power system topology verification, being an important problem in real-time power system modeling. In the paper, the approach with use of multi-agent system is proposed. At the beginning, benefits from utilization of the agent technology are presented. Then, a theoretical background for the power system topology verification is described. Next, multi-agent system for topology verification and functions of particular agents are characterized. At the end, features of the presented approach to power system topology verification are summed up. Keywords: Power System, Power System Topology, Multi-Agent System.
1 Introduction Advances in computer technology (in the field of the hardware and software), telecommunication, and electric power engineering give new possibilities for control and management of power systems. On the other hand the power system control in a more and more demanding environment becomes more and more complex. The required attributes of the modern control and management of power systems are scalability, openness, flexibility and conformance to industry standards. Now, achievement of the solution, which has such attributes, seems to be easier, using (among other things) intelligent agents and multi-agent systems. The advantages of the Agent Technology (AT) from the view point of their utilization for solving problems of the mentioned control and management are underlined in many papers [1] - [5]. The following features of AT are especially interesting: − − − −
AT can be effectively used to solve complex (distributed) problems, agents are loosely coupled, agents can communicate via messaging rather than by procedure calls, new functions can easily be added to an agent-based system by creating a new agent, which will then make its capabilities available to others, − agents can be stopped without affecting the integrity of the other agents in the system − AT permits the easy integration of data capture, data processing, and intelligent system interpretation processes, H. Yin et al. (Eds.): IDEAL 2007, LNCS 4881, pp. 970–979, 2007. © Springer-Verlag Berlin Heidelberg 2007
A Multi-agent System Approach to Power System Topology Verification
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− the management of data, information and interpretation can be devolved to individual agents, permitting dynamic and automatic decision making regarding which interpretation algorithms should be used, − the data interpretation functions can be distributed, removing the need for wholesale data transmission, − agents can ultimately reduce operator errors and improve control performance by responding to problems faster than a human operator. AT is one of the recent developments in the field of distributed artificial intelligence. There is relatively small number of papers showing application of this technology to solving problems related to real-time power system modeling (powersystem state estimation) [1], [2], [6], [7]. One of such problems is the problem of power system Topology Errors (TEs) and the problem of the Power System Top
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