Warodom Khamphanchai

A multi-agent based power system restoration approach in distributed smart grid

The objective of this paper is to design, develop and implement a multi-agent system (MAS) that provides intelligent and enables real-time management to a smart grid located at a distribution level (so called distributed smart grid). The MAS application development is discussed concerning suitable agent development framework, agent specification, agent architecture, and implementation of MAS. The paper illustrates MAS application in power systems. As faults and outages are inevitable and likely to occur in distribution systems, an efficient and fast switching operation scheme is required to detect the fault location, isolate the fault, and restore power to de-energized areas. The system under study consists of both physical (microgrid) and cyber elements (MAS). Finally, the simulation result indicates that the developed MAS for power system restoration applications can provide an effective and timely solution to manage microgrid given the existence of fault in the system.

A multi-agent system for restoration of an electric power distribution network with local generation

This paper proposes a multi-agent system for restoration of an electric power distribution network that can perform an efficient and fast switching operation to isolate faults, restore power to the de-energized area, and secure critical loads. Local or distributed generation (DG) is present in the network but has a limited capability to serve the entire microgrid load. In this paper, the multi-agent system (MAS) is designed, developed and implemented in JAVA Agent Development Framework (JADE). Simulation results show that the proposed MAS is able to achieve a real-time restoration of the microgrid and secure critical loads upon the occurrence of an upstream fault.

A smart distribution transformer management with multi-agent technologies

The objective of this paper is to demonstrate an approach to perform distribution transformer management with multi-agent technologies. With the proposed approach, the distribution transformers loading level is kept below a certain value by dynamically allocating the transformers demand limit (DL) among the homes served by the transformer during a demand response event. The DL assignment takes into account, for each home, its load profile (kW), electrical panel size (A), expected instantaneous demand (kW), and homeowners preferences. The proposed set of algorithms is developed in a multi-agent system (MAS). In this paper, the MAS is designed, developed and implemented in JAVA Agent Development Framework (JADE). A distribution network is simulated in MATLAB/Simulink integrated with the developed stand-alone HEM software. These platforms are linked together via MACSimJX middleware and TCPIIP communications.