Optimal Wind&Coal Plant Capacity Distribution among the Sending&Receiving Nodes Based on Quantum PSO Algorithm

Abstract:

This paper established the comprehensive optimal objective function considering the construction cost, operation cost and the peak regulation capacity limitation to optimize capacity allocation of wind and coal power ,according to the peak regulation capacity limitation. Based on construction cost and the limitation of peak regulation capacity, the objective function reflects the essence of the transportation of wind and coal power thoroughly. A quantum particle swarm optimization (QPSO) algorithm was put forward to solve the objective function. The algorithm takes advantage of its probability expression and superposition state, which potentially improves the searching ability. Besides, mutation operation of QPSO helps maintain population diversity. The analysis of result proves scientificity and feasibility of proposed model and algorithm in this paper.

• Periodical: Advanced Materials Research (Volumes 614-615)
• Pages: 1019-1026
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.614-615.1019
• Online since: December 2012
• Authors: Zhi Dong Wang, Gang Liu, Zi Fa Liu
• Keywords: Capacity Allocation, Peak-Regulation Capacity, QPSO, Wind and Thermal Transmission

References

[1] Y.-Z. Lei, Automation of Electric Power Systems, vol.27,no.8, 2003,pp.84-89,in press.

[2] N.-B.Wang,K.Ding, J.Zhi, Electric Power Technology,vol.19,no.13, 2010,pp.1-4.

[3] Z.-H.Chen, Y.-H.Chen, Z.Xing , Automation of Electric Power Systems, vol.35,no.21, 2011,pp.12-15.

[4] J.-H.Bai,S.-X.Xin,J.-D.Xiang, Power System and Clean Energy,vol.26,no.1 2010,p.14-17K.

[5] D.-J.Chen,Q.-W.Gong,M.-LZhang, Proceendings of the CSEE, vol.31,no.13, 2011,pp.10-17.

[6] K.Tian,M.Zeng,Y.Fan, Power System Technoligy,vol.35,no.6,2011,pp.55-59.

[7] L.Zhi, X.-S.Han,Y.Ming, Automation of Electric Power Systemsvol.34,no.19,2010,pp.15-19.

[8] Y.-T.Jiang, Q.Chao,T.-R.Xun,Y.B, Power System Technoligy, vol.33,no.6,2009,pp.67-71.

[9] Y.Yao,Y.-J.Lai, Automation of Electric Power System,vol.35,no.22,2011,pp.118-124

[10] C.-X.Wang,Y.Qiao,Z.-X.Lu, Automation of Electric Power Systems,vol.36,no.4, 2012,pp.16-21.

[11] Z.Bin,L.Dong, Proceedings of the CSEE, vol.32,no.7, 2012,pp.23-32

[12] L.-Y.Zhou,W.-S.Wang,Y.Hua, Power System Technology,vol.26,no.5,2002,pp.10-14.

[13] S.Wei,W.-W.Chuan, B.-M.Zhang, Automation of Electric Power Systems,vol. 35,no.22, 2011,pp.136-140.

[14] L.-Z.Zhang,N.Zhou,N.Wang, Automation of Electric Power Systems, vol.35,no.22, 2011,pp.105-110.

[15] K.Wang, B.-H.Zhang,Y.Zhou, Automation of Electric Power Systems,2011,vol.35,no.22,pp.141-146.

[16] S.-Y.Li, P.-C.Li, Harbin:Harbin Institute of Technology Press,2009,pp.101-117(In Chinese).

[17] Kennedy,Eberhart R, Proceedings of IEEE Conference on Neural Networks,Perth,Australia:IEEE.1995,pp.1942-1948.

[18] Z.F. Liu, Tianjin:Tianjin University,2005(In Chinese).