Comprehensive SC renewal planning scheme considering optimal allocation and reallocation

With the high economic growth period in Japan, the power demand has been increasing sharply year by year. Therefore, the Japanese utilities have installed Shunt Capacitors along with the predicted demand. Meanwhile, some SCs have been aged because they have been used for a long time. Therefore, they have to be replaced sometime soon. It is important to renew the aged SCs efficiently and economically. In this paper, we propose a new total SC renewal planning scheme using the voltage stability index L-index. This paper proposes an improved Particle Swarm Optimization (PSO) method. Since a search by PSO is considerably dependent on pbest and gbest, there is a possibility of settling in a local optimal solution. Therefore, Dispersed Hybrid PSO (DHPSO) is proposed to mitigate this drawback. We also proposed the optimal SC removal order scheme. Finally, we run simulations for the IEEJ 30 machine 115 bus system to confirm the validity of the proposed method.

[1]  Shoichi Takeda,et al.  A New Load-flow Algorithm Effective Under Heavy Load Conditions , 1980 .

[2]  H. Yoshida,et al.  A particle swarm optimization for reactive power and voltage control considering voltage security assessment , 1999, 2001 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.01CH37194).

[3]  D. Thukaram,et al.  Novel algorithm for online voltage stability assessment based on feed forward neural network , 2006, 2006 IEEE Power Engineering Society General Meeting.

[4]  S. Iwamoto,et al.  A Technique for Optimal Shunt Capacitor Reallocation Considering Voltage Stability in N-1 Contingencies , 2007, 2007 IEEE Power Engineering Society General Meeting.

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

[6]  P. J. Angeline,et al.  Using selection to improve particle swarm optimization , 1998, 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360).

[7]  S. Iwamoto,et al.  A New Voltage Stability Index Considering Voltage Limits , 2006, 2006 IEEE PES Power Systems Conference and Exposition.

[8]  Xiong Xin-yin,et al.  A Parallel PSO Approach to Multi-Objective Reactive Power Optimization with Static Voltage Stability Consideration , 2006, 2005/2006 IEEE/PES Transmission and Distribution Conference and Exhibition.

[9]  S. Durairaj,et al.  Improved Genetic Algorithm Approach for Multi-Objective contingency constrained Reactive Power Planning , 2005, 2005 Annual IEEE India Conference - Indicon.

[10]  Zhang Li-guo.  Voltage and reactive power control in power system , 2005 .