Bi-Objective Short-Term Operation Model for Wind Power Penetrated System

Abstract:

In view of the uncertainty and intermittency of wind power, this paper presents a bi-objective short-term operation model to manage wind-thermal power systems. This model takes into account both the offer cost and emission. Wind power is regarded as a random variable and is assumed to follow the beta distribution. The bi-objective particle swarm optimization (BOPSO) approach is applied to solve the bi-objective model and Pareto front is obtained. The model and the solution method are tested on a generic system. The validity of the model and the method has been approved.

• Periodical: Advanced Materials Research (Volumes 953-954)
• Pages: 537-542
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.953-954.537
• Online since: June 2014
• Authors: Hai Feng Zhang*, Zhao Jun Zhang, Jun Zhou, Yuan Chao Yang
• Keywords: Bi-Objective Particle Swarm Optimization, Pareto Front, Short-Term Operation, Wind Power

References

[1] E.D. Castronuovo and J.A. Lopes: IEEE Trans. on Power Systems Vol. 19 (2004), p.1599.

[2] H. Bludszuweit, N. Dominguez and A. Llombart: IEEE Trans. on Power Systems Vol. 23 (2008), p.983.

[3] X. Liu: Electric Power Components and Systems Vol. 39 (2011), p.768.

[4] H. Zhang, F. Gao, J. Wu and K. Liu: Power System Technology Vol. 37 (2013), p.1298, in Chinese.

[5] M.A. Abido: IEEE Trans. on Power Systems Vol. 18 (2003), p.1529.

[6] W. Jiang W, Z. Yan Z and Z. Hu: Electric Power Components and Systems Vol. 39 (2010), p.461.

[7] L. Zhang, C. Zhou and M. Ma: Journal of Computer Research and Development Vol. 41 (2004), p.1286, in Chinese.

[8] A.T. Al-Awami and M.A. El-Sharkawi: IEEE Trans. on Sustainable Energy Vol. 2 (2011), p.277.