Title :
Study of multi-agent based distributed control for distribution system with integration of distributed generations
Author :
Xinhe Chen ; Chao Zhang ; Wenbin Zhang ; Jing Zhou
Author_Institution :
State Grid Electr. Power Res. Inst., Beijing, China
Abstract :
In this paper, a distributed control method for distribution system with integration of distributed generations is proposed based on multi-agent system technology. Considering the requirement of voltage control and power factor correction, the distribution system voltage/var control model is built under the multi-agent system framework. To realize distributed control, the voltage adjustment message is suggested to be forwarded to upstream bus agents while the reactive power adjustment message forwarded to downstream bus agents. A width-first communication mechanism is proposed for a bus agent to seek for assistance from the other bus agents. And the coordination control strategy and further the control process are designed for distributed control coordination. The proposed voltage/var control method relies only on the local sensing information and the exchanged information from the neighboring bus agents. Voltage control case and power factor correction case are both executed by a distribution system example. The case studies results show that the proposed method is effective in improving the voltage profile of the system and facilitating the development of the distributed generation.
Keywords :
distributed control; distributed power generation; multi-agent systems; power factor correction; reactive power control; voltage control; bus agents; distributed generation; distribution system; distribution system voltage-var control model; local sensing information; multiagent based distributed control; power factor correction; reactive power adjustment message; voltage adjustment message; Barium; Load flow; Multi-agent systems; Power factor correction; Process control; Reactive power; Voltage control; distributed control; distributed generation; distribution system; multi-agent;
Conference_Titel :
Power Engineering and Optimization Conference (PEOCO), 2014 IEEE 8th International
Conference_Location :
Langkawi
Print_ISBN :
978-1-4799-2421-9
DOI :
10.1109/PEOCO.2014.6814429