Research On Distribution Network Reconfiguration System Based On Multi - Agent Technology

In recent years, with the increasing of power system construction, a variety of failures occur inevitably. However, along with the continuous development of China’s social economic, as well as people’s living standards, the requirements of power quality and power supply reliability are also increasing. Therefore, to ensure the safe production and stable operation of power grid becomes the current focus of power sector. As a result, strengthening the vulnerability researches of power grid to enhance the capacity against accidents is very important, at the same time, studying the troubleshooting strategies after fault of power grid, and reducing or eliminating the impact and harm of power grid failure are also crucial.Addressing the problem of power distribution network reconfiguration after fault, utilizing the multi-agent technology, this article has designed a multi-agent system for the reconfiguration of power distribution network after fault based on JADE platform, which targets at minimizing the loss after reconstruction. The main research content is as follows:(1) According to the characteristics of power distribution network, the framework of a multi-agent reconfiguration system with two layers has been proposed, the bottom layer of the framework includes the AssistantAgent, ControllerAgent, FaultAgent and a large number of BusAgents, while the upper layer includes Distribution Network Manager Agent, the architecture of these agents and the proposed multi-agent system has been analyzed.(2) The main tasks and functions of each agent in the proposed multi-agent reconfiguration system have been made clear. During the process of restoration, the agents in the bottom layer coordinate with each other to fulfill the distributed computatoin and control, while the agents in the upper layer regulate the entire distribution network globally.(3) The whole process of the proposed multi-agent reconfiguration system has been put forward. According to the main task and purpose of each step in the process, the detailed design of the related agents and the modules has completed, and the formulation and implementation of the optimized reconfiguration scheme is dominated by the LeaderAgent.(4) Select the improved optimal flow pattern algorithm as the optimization algorithm in the restoration procedure. As the data and control in power distribution network is decentralized, the BusAgents in the proposed multi-agent system share the calculation and control burden, which realizes the distributed computing and control in the reconfiguration process.At last, the model of IEEE-33nodes distribution network was selected as the test object. Through simulating a fault scenario in the distribution network, the proposed multi-agent system was used to guide the reconfiguration procedure. Simulation results show that the proposed multi-agent system can develop a reasonable restoration scheme according to the stated objectives, and the power loss after restoration is small, which verifies the validity of the proposed multi-agent reconfiguration system.