Title :
A multi-agent based dispatching operation instructing system in electric power systems
Author :
Ming, Zhou ; Jianwen, Ren ; Gengyin, Li ; Xianghai, Xu
Author_Institution :
Dept. of Electr. Eng., North China Electr. Power Univ., Hebei, China
Abstract :
Fault section identification and switching operation are two important tasks for electric dispatching operators in power systems. Now electric supply industries are undergoing restructuring and deregulation, and the operation modes are getting more complicated, electric components are operating near to their security limits along with the probability of fault increasing largely, and operation modes changing more frequently. Automatic fault section identification and expert-system-based switch operation instructing system are much helpful to improve the intelligent level of dispatching operation. At present automatic fault section identification system (AFSIS) as aided decision-making for the operators is put into the field, switch operation instructing system (SOIS) also does. But these systems almost belong to a single agent, with power systems rapidly expanding, they have exposed to some limits. On the basis of research on AFSIS and SOIS for many years, a multi-agent system (MAS) based dispatching operation instructing scheme is proposed in this paper. The cooperation between AFSIS and SOIS is the key problem to study. A task decomposing method based on structural property, and a hybrid coordination control strategy is presented. More researches are focused on MAS task decomposition, coordinated control, data share, communication implementation and MAS learning. A MAS-based dispatching operation instructing system (MASDOIS) is implemented and put into the field. The field application shows MASDOIS more advantageous than individual agent in the sides of integrated solving problems, cooperative control and information share.
Keywords :
decision making; electricity supply industry deregulation; expert systems; fault location; load dispatching; multi-agent systems; power engineering computing; power system control; automatic fault section identification system; communication implementation; cooperative control; coordination control strategy; data share; decision-making; electric dispatching operators; electric supply industries; expert-system-based switch operation instructing system; multiagent system learning; power systems; structural property; switching operation; task decomposing method; Communication system control; Dispatching; Fault diagnosis; Large-scale systems; Multiagent systems; Power system faults; Power system protection; Power system relaying; Power system security; Switches;
Conference_Titel :
Power Engineering Society General Meeting, 2003, IEEE
Print_ISBN :
0-7803-7989-6
DOI :
10.1109/PES.2003.1267215