Title :
A BDI agent-based approach for power restoration
Author :
Qiangguo Ren ; Li Bai
Author_Institution :
Electr. & Comput. Eng., Temple Univ., Philadelphia, PA, USA
Abstract :
The objective of this paper is to design and develop a Belief-Desire-Intention (BDI) agent-based approach for power system restoration. We describe a multiple bus electrical power system (multi-bus power system) as a market environment that consists of BDI bus agents representing two different characters, consumer and producer. The bus agents are able to balance the power system between power generation and load consumption while producers and consumers exploring the market and trading the power resource. In addition, the power system can be split into power branches by the bus agents naturally and efficiently. When a fault occurs in the system, the bus agents can maximize the capacity of the served loads or minimize the loss of power loads (when load shedding may be the only option) in a timely manner. The proposed BDI multi-agent approach can be applied to any size and structure of the multi-bus power systems. It is shown from our simulation and results comparison that the proposed approach becomes more effective and efficient when the scale of the multi-bus power system is getting larger.
Keywords :
load management; load shedding; multi-agent systems; power engineering computing; power system restoration; BDI agent-based approach; BDI bus agents; belief-desire-intention agent-based approach; load consumption; load shedding; multiple bus electrical power system; power generation; power load restoration; power system restoration; Decision support systems; Multi-agent systems; Power systems; BDI Agents; Load shedding; Multi-agent System; Power Load Restoration; Power System Splitting;
Conference_Titel :
Collaboration Technologies and Systems (CTS), 2014 International Conference on
Conference_Location :
Minneapolis, MN
Print_ISBN :
978-1-4799-5157-4
DOI :
10.1109/CTS.2014.6867644