A pooled-neighbor swarm intelligence approach to optimal reactive power dispatch
- 40 Downloads
This paper presents a pooled-neighbor swarm intelligence approach (PNSIA) to optimal reactive power dispatch and voltage control of power systems. The proposed approach uses more particles℉ information to control the mutation operation. The proposed PNSIA algorithm is also extended to handle mixed variables, such as transformer taps and reactive power source installation, using a simple scheme. PNSIA applied for optimal power system reactive power dispatch is evaluated on an IEEE 30-bus power system and a practical 118-bus power system in which the control of bus voltages, tap position of transformers and reactive power sources are involved to minimize the transmission loss of the power system. Simulation results showed that the proposed approach is superior to current methods for finding the optimal solution, in terms of both solution quality and algorithm robustness.
Key wordsReactive power dispatch Swarm intelligence Multi-agent systems Global optimization
CLC numberTM73 TM74
Unable to display preview. Download preview PDF.
- Bonabeau, E., Dorigo, M., Theraulaz, G., 1999. Swarm Intelligence: from natural to Artificial Systems. Oxford University Press.Google Scholar
- Kennedy, J., Eberhart, R.C., 1995. Particle Swarm Optimization. Proceedings of IEEE International Conference on Neural Networks, p.1942–1948.Google Scholar
- Kennedy, J., Eberhart, R.C., 2001. Swarm Intelligence. Morgan Kaufmann Publishers.Google Scholar
- Wong, K.P., Wong, Y.W., 1994. Genetic and genetic/simulated-annealing approaches to economic dispatch. IEE Proc. Pt. C, 141(5):507–513.Google Scholar