Open Access Open Access  Restricted Access Subscription or Fee Access

Optimal Reactive Power Planning Technique Using Multi-Agent System

(*) Corresponding author

Authors' affiliations



Lack of reactive power support may cause undesirable voltage decay leading to total system instability. Thus, appropriate reactive power support scheme should be arranged in order to maintain system stability. This paper presents enhancement of voltage stability system through Optimal reactive power planning technique using a multi-agent system, the proposed method consists of several Bus agents (BAGs) and compensator agents (CAGs). A BAG corresponds to the bus in the substation, while a CAG supervise and control the compensator. From the simulation results, it can be seen the proposed multi-agent system could reach the right solution by making use of only local information. This means that the proposed multi-agent system is a promising approach to more large-scale power system networks.
Copyright © 2018 Praise Worthy Prize - All rights reserved.


Reactive Power Planning; Voltage Stability; Multi-Agent System; Compensation

Full Text:



Pandit M, Srivastave L., Sharma J.D, 2003, ANN Based Voltage Contingency Screening and Ranking using a Novel Feature Selection Technique, Journal- Institution Of Engineers India Part El Electrical Engineering Division, December, pp. 154-160

Musirin I. and Rahman TKA, 2004, Voltage Stability Based Weak Area Clustering Technique in Power System, National Power & Energy Conference (PECon) 2004 Proceedings, Kuala Lumpur, Malaysia, pp 235-240

C.Costea,A.Petrovan.,"Agent-Based Systems in Power System Control",9th International Conference on Development And Application Systems, Suceava, Romania, May 22-24, 2008

W. Z. Zhong et al., "A Multiagent Genetic Algorithm for Global Numerical Optimization," in IEEE Trans. Syst. Man. Cybern. B. Cybern.,Vol. 34, pp. 1128-1141, Apr. 2004.

B. Zhao et al., "A Multiagent-Based Particle Swarm Optimization Approach for Optimal Reactive Power Dispatch," in IEEE Trans. Power Syst.,Vol. 20, No. 2, May. 2005

S.J.Russell, P. Norvig, “Artificial Intelligence: a Modern Approach», Prentice Hall, 1995

K. Sycara,, Multiagent Systems , AI Magazine , 19(2): Summer 1998,pp 79-92 [online]

J. Yang, M. Montakhab, A. Pipe, B. Carse and T.S. Davies, “Application of Multi-Agent Technology to Fault Diagnosis of Power Distribution Systems,” Proceedings of the 4th International ICSC Symposium on Engineering of Intelligent Systems, March 2004

Hao Li, G.W.RosenWald, J.Jung, Chen-Ching Liu, “Strategic Power Infrastructure Defense”, Proceedings of the IEEE Volume 93, Issue 5, May 2005 pp: 918 – 933

M. Amin, "Toward Self-Healing Infrastructure Systems," Computer,vol. 33, no. 8, pp. 44-53, Aug., 2000

M. Ilic ,F.F. Wu, Research and Applications on Real-time Control of Power Grids: Past Successes and Future Opportunities, Bulk Power System Dynamics and Control - VI, August 22-27, 2004, Cortina d’Ampezzo, Italy

A.Petcu, B. Faltings.”Distributed generator maintenance scheduling” Proceedings of the First International ICSC Symposium on Artificial Intelligence in Energy Systems and Power: AIESP’06, Madeira, Portugal, Feb 2006.

M. Yokoo, “Algorithms for Distributed Constraint Satisfaction: A Review”, Autonomous Agents and Multi-Agents Systems, Vol.3, No.2, 2000, pp.198-212.

T. Nagata, H. Sasaki, “A Multi-Agent Approach to Power System Restoration”, IEEE Transactions on Power Systems, Vol. 17, No. 2, May 2002

T. Nagata, Y. Tao, H. Sasaki, H. Fujita, “Decentralized Approach to Power System Restoration by means of Multi-agent Approach”, Bulk Power System Dynamics and Control - VI, August 22-27, 2004, Cortina d’Ampezzo, Italy

Camponogara, E., “Controlling Networks with Collaborative Nets”, Ph.D. Dissertation, ECE Department, Aug. 15th, 2000, [online]:

S. Talukdar, Camponagara, E., “Collaborative Nets”, HICSS-2000, Proceedings, Jan 2000, [online]:

Zhongxu Li and Yutian Liu, "Reactive power optimization using agent-based grid computing," 2005 International Power Engineering Conference, Singapore, 2005, pp. 1-167.

B. Zhao,C.X.Guo,Y.J.Cao, “A Mutiagent-based Particle Swarm Optimization Approach for Optimal Reactive Power Dispatch”, IEEE Transactions on Power Systems, Vol.20, No.2, May 2005


  • There are currently no refbacks.

Please send any question about this web site to
Copyright © 2005-2024 Praise Worthy Prize