Maximum loadability of power systems using hybrid particle swarm optimization

The problem of voltage stability is one of the main concerns in the operation of power systems. There are different approaches to estimate the voltage stability of the system. One of these approaches is to find the margin from the current operating point to the maximum loading point of the system. Finding this maximum loading point can be formulated as an optimization problem. This paper utilizes the newly developed evolutionary particle swarm optimization in solving this optimization problem. Details of the implementation of the proposed method to two test systems (Ward-Hale 6-bus) and (IEEE 14-bus) are presented. The results are compared to those obtained by the widely used continuation power flow technique. Good agreement has been obtained proving the validity and applicability of the proposed method.

[1]  Yoshikazu Fukuyama,et al.  Practical distribution state estimation using hybrid particle swarm optimization , 2001, 2001 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.01CH37194).

[2]  C. Vournas Voltage stability and controllability indices for multimachine power systems , 1995 .

[3]  A. Phadke,et al.  Control of voltage stability using sensitivity analysis , 1992 .

[4]  B. Gao,et al.  Voltage Stability Evaluation Using Modal Analysis , 1992, IEEE Power Engineering Review.

[5]  Gabriela Ciuprina,et al.  Use of intelligent-particle swarm optimization in electromagnetics. IEEE Trans Mag , 2002 .

[6]  Venkataramana Ajjarapu,et al.  The continuation power flow: a tool for steady state voltage stability analysis , 1991 .

[7]  Yoshikazu Fukuyama,et al.  A particle swarm optimization for reactive power and voltage control considering voltage security assessment , 2000 .

[8]  H. Chiang,et al.  A more efficient formulation for computation of the maximum loading points in electric power systems , 1995 .

[9]  Zwe-Lee Gaing,et al.  Particle swarm optimization to solving the economic dispatch considering the generator constraints , 2003 .

[10]  James Kennedy,et al.  Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.

[11]  G. J. Berg,et al.  Determination of voltage stability limit in multimachine power systems , 1988 .

[12]  J. Doval-Gandoy,et al.  Eliminating ground current in a transformerless photovoltaic application , 2007, 2007 IEEE Power Engineering Society General Meeting.

[13]  A. Semlyen,et al.  Calculation of the extreme loading condition of a power system for the assessment of voltage stability , 1991, IEEE Power Engineering Review.

[14]  G. Irisarri,et al.  Maximum loadability of power systems using interior point nonlinear optimization method , 1997 .

[15]  H.K.M. Youssef,et al.  Load flow solution using hybrid particle swarm optimization , 2004, International Conference on Electrical, Electronic and Computer Engineering, 2004. ICEEC '04..