Development of a multi-agent information management system for Iran power industry. A case study

Abstract

A distributed information management system has been developed to integrate and manipulate the heterogeneous, distributed information resources in Iran Power Industry. Multi-agent approach has been used to model numerous users and different information resources as autonomous components, which can interact and exchange information in a virtual environment. The primary focus of the work demonstrates the effective use of this approach to overcome the difficulties associated with decision making in such a large-scale, spread informational environment as the national-wide power industry. Data items of various types stored in physically distributed locations could be retrieved, integrated and displayed to user by a single query. Using an automatically constructed semantic net improves the usability of the answers returned by the system. Robustness, scalability and adaptability are the valuable characteristics gained using this approach.This paper aims to report the implementation of agent-based information system for the Iran power industry. There are many high-volume and distributed information resources within the Iran Power Industry, which are mainly managed in different formats and strategies. These include documents related to power plants, maintenance manuals, Power distribution network statistics, logistics and workforce, and power production information. Additionally, there is a largescale technical library with various types of library resources. On the hand, there are users with different needs and skills, like power industry strategic managers, operational managers, power engineers, and technicians that need to access and use these information resources for their decision makings and operational activities (network planning, workforce scheduling and management, repair, maintenance, etc.).

Modeling and Simulation of a DG-Integrated Intelligent Microgrid

“…In general, multi-agent systems were proposed for application in military systems [43,44,45], information retrieval systems [46], decision support systems [47], supply chain [48], transportation [49], communication systems [50] and many more [51,52,53,54,55]. In the context of power systems, multi-agent technologies were applied in a variety of applications, such as to perform power system disturbance diagnosis [56], fault diagnosis [57], power system restoration [58], power system secondary voltage control [59] and power system visualization [60].…”