A multi-agent based power system restoration approach in distributed smart grid | |
| Author | Warodom Khamphanchai |
| Call Number | AIT Thesis no.ET-11-13 |
| Subject(s) | Electric power distribution Electric power failures Electric power systems |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Energy |
| Publisher | Asian Institute of Technology |
| Abstract | The security and resiliency of an electric power network are two important factors for critical facilities that need highly reliable supply of electricity . Instead of building a larger electric power grid with large - scale generators and high capacity transmission lines, an intelligent microgrid (or smart grid) can be a promising alternative. In recent years, multi - agent systems (MAS) have been proposed that can offer intelligent control and management of microgrids. Many previous publications proposed MAS architectures that deal with buying and selling of energy within a microgrid and algorithms for auction systems. The others proposed frameworks for multi - agent systems that could be further implemented in a real world environment. However, a limited number of literatures addressed the issue of sharing energy resources among multiple distinct set of prioritized loads. The objective of this research is to design, develop and implement the MAS that enable real - time management of a microgrid. 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 the power back to the de - energized areas. Moreover, this paper considers that the system loads have different priorities, namely critical loads and non - critical loads. The limited capacity of DG is studied to augment power system restoration as well. The system under study consists of both physical (microgrid) and cyber elements (multi - agent system). The simulation has been implemented in the Matlab/Simulink environment. For the MAS design, developmnt and implementation, agent architecture is designed by dividing overall goal of the system into several smaller tasks and assigning them to each agent. The implementation of MAS was completed by identifying Roles (Role Modeling) and Responsibilities (Social and Domain Responsibilities) of agents in the system, and modeling the Knowledge (Facts), rules and ontology for the agents. Finally, both microgrid simulation and MAS are connected together via middleware called MACSimJX. By using MACSimJX, it is capable of connecting external java programming to the distribution system simulated in Matlab/Simulink environment. These physical and cyber elements are then tested on the 4 - bus test system. In summary, it is expected that this work will provide an insight into the design and development of the MAS for the power system restoration application that can serve as an alternative to the traditional centralized approach such as SCADA system. Research findings indicate that the proposed MAS can provide an effective and timely solution to manage a distribution system after an outage occurrence in the system. |
| Year | 2011 |
| Type | Thesis |
| School | School of Environment, Resources, and Development (SERD) |
| Department | Department of Energy and Climate Change (Former title: Department of Energy, Environment, and Climate Change (DEECC)) |
| Academic Program/FoS | Energy Technology (ET) |
| Chairperson(s) | Weerakorn Ongsakul; |
| Examination Committee(s) | Singh, Jai Govind;Marpaung, Charles O. P.; |
| Scholarship Donor(s) | PEA;Asian Institute of Technology Education Cooperation Project;Royal Thai Government Fellowship; |
| Degree | Thesis (M. Eng.) - Asian Institute of Technology, 2011 |