ORPP with MAIEP Based Technique for Loadability Enhancement

One of the factors to maintain system survivability is the adequate reactive power support to the system. 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. The strength of a system capacity is normally denoted as system loadability. This paper presents the enhancement of system loadability through optimal reactive power planning technique using a newly developed optimization technique, termed as Multiagent Immune Evolutionary Programming (MAIEP). The concept of MAIEP is developed based on the combination of Multiagent System (MAS), Artificial Immune System (AIS) and Evolutionary Programming (EP). In realizing the effectiveness of the proposed technique, validation is conducted on the IEEE-26-Bus Reliability Test System. The results obtained from pre-optimization and post-optimization process were compared which eventually revealed the merit of MAIEP.

Authors:

• Norziana Aminudin
• Titik Khawa Abdul Rahman
• Ismail Musirin

Keywords:

• Load margin
• MAIEP
• Maximum loading point
• ORPP.

References:

[1] F. C. V. Malange et al., "Real Power Losses Reduction and Loading
Margin Improvement via Continuation Method," in IEEE Trans. Power
Syst.,Vol. 19, No. 3, Aug. 2003, pp. 1690-1692.
[2] Naoto Yorino et al., "Predictor/Corrector Scheme for Obtaining Q-Limit
Points for Power Flow Studies," in IEEE Trans. Power Syst.,Vol. 20,
No. 1, Feb. 2005, pp. 130-137.
[3] Mohd. Rozely Kalil et al., "Ant Colony Optimization for Maximum
Loadability Search in Voltage Control Study," in Inter. Power and
Energy Conf., Putrajaya, Malaysia, 2006.
[4] Ismail Musirin and Titik Khawa Abdul Rahman, "Evolutionary
Programming based Optimization Technique for Maximum Loadability
Estimation in Electric Power System," in National Power and Energy
Conf., Bangi, Malaysia, 2003.
[5] Amgad A. El-Dib et al., "Maximum Loadability of Power System using
Hybrid Particle Swarm Optimization," in Electric Power System
Research, 76(2006) 485-492.
[6] Marcos A. N. Guimaraes, Jorge F. C. Lorenzeti and Carlos A. Castro,
"Reconfiguration of Distribution System for Voltage Stability Margin
Enhancement using Tabu Search," in Inter. Conf. on Power Syst.
Technology, Singapore, 21-24 November 2004.
[7] Arthit Sode_Yome et al., "A Maximum Loading Margin Method for
Static Voltage Stability in Power System," in IEEE Trans. Power
Syst.,Vol. 21, No. 2, May 2006, pp. 799-808.
[8] Ronghai Wang and Robert H. Lasseter, "Re-dispatching Generation to
Increase Power System Security Margin and Support Low Voltage Bus,"
in IEEE Trans. Power Syst.,Vol. 15, No. 2, May 2000, pp. 496-501.
[9] E. A. Leonidaki et al., "Decision Trees for Determination of Optimal
Location and Rate of Series Compensation to Increase Power System
Loading Margin," in IEEE Trans. Power Syst.,Vol. 21, No. 3, Aug.
2006, pp. 1303-1310.
[10] A. Kazemi and B. Badrzadeh, "Modelling and Simulation of SVC and
TCSC to Study their Limits on Maximum Loadability Point," in
Electrical Power & Energy Systems, 26(2004) 619-626.
[11] Norziana Aminudin et al., "Optimal Power Flow for Load Margin
Improvement using Evolutionary Programming," in The 5th Student
Conf. on Research and Development, Malaysia, 2007.
[12] Yongchun Su et al., "Reactive Power Generation Management for the
Improvement of Power System Voltage Stability Margin," in Proc. of
The 6th World Congress on Intelligent Control and Automation, Dalian,
China, 2006.
[13] T. V. Menezes et al., "MVAR Management on the Pre-dispatch Problem
for Improving Voltage Stability Margin," in IEE Proc.-Gener. Transm.
Distrib., Vol. 151, No. 6, Nov. 2004.
[14] B. Venkatesh et al., "A New Optimal Reactive Power Scheduling
Method for Loss Minimization and Voltage Stability Margin
Maximization Using Successive Multi-Objective Fuzzy LP Technique,"
in IEEE Trans. Power Syst.,Vol. 15, No. 2, May 2000.
[15] F. M. Echavarren, E. Lobato and L. Rouco, "A Load Shedding
Algorithm for Improvement of Load Margin to Voltage Collapse," in
IEEE Bologna PowerTech Conf., Italy, 2003.
[16] Scott Greene, Ian Dobson and Fernando L. Alvarado, "Sensitivity of the
Loading Margin to Voltage Collapse with Respect to Arbitrary
Parameters," in IEEE Trans. Power Syst.,Vol. 12, No. 1, Feb. 1997, pp.
262-272.
[17] Yog Raj Sood, "Evolutionary Programming based Optimal Power Flow
and its Validation for Deregulated Power System Analysis," in Electrical
Power & Energy Systems, 29(2007) 65-75.
[18] Jason Yuryevich and Kit Po Wong, "Evolutionary Programming based
Optimal Power Flow Algorithm," in IEEE Trans. Power Syst.,Vol. 14,
No. 4, Nov. 1999, pp. 1245-1250.
[19] B. K. Panipraghi et al., "A Clonal Algorithm to Solve Economic Load
Dispatch," in Electric Power System Research, 77(2007) 1381-1389.
[20] 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.
[21] 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.