Optimal planning of multiple distributed generation sources in distribution networks: A new approach
作者： M.R. AlRashidi , M.F. AlHajri
DOI: 10.1016/J.ENCONMAN.2011.06.001
关键词:
摘要: Abstract An improved particle swarm optimization algorithm (PSO) is presented for optimal planning of multiple distributed generation sources (DG). This problem can be divided into two sub-problems: the DG size (continuous optimization) and location (discrete to minimize real power losses. The proposed approach addresses sub-problems simultaneously using an enhanced PSO capable handling in a single run. A design experiment used fine tune via proper analysis parameters interaction. treats constraints differently by adopting radial flow satisfy equality constraints, i.e. flows distribution networks, while inequality are handled making use some features. was tested on practical 69-bus system. Different test cases were considered validate consistency detecting or near solution. Results compared with those Sequential Quadratic Programming.
elsevier.com
sci-hub.se 参考文章(23)
Helge Toutenburg, Statistical Analysis of Designed Experiments ,(2002)
Xiaohui Hu, Yuhui Shi, R. Eberhart, Recent advances in particle swarm congress on evolutionary computation. ,vol. 1, pp. 90- 97 ,(2004) , 10.1109/CEC.2004.1330842
R. Doherty, E. Denny, M. O'Malley, System operation with a significant wind power penetration IEEE Power Engineering Society General Meeting, 2004.. pp. 1002- 1007 ,(2004) , 10.1109/PES.2004.1372988
H. Iyer, S. Ray, R. Ramakumar, Assessment of Distributed Generation Based on Voltage Profile Improvement and Line Loss Reduction ieee pes transmission and distribution conference and exhibition. pp. 1171- 1176 ,(2006) , 10.1109/TDC.2006.1668671
Naresh Acharya, Pukar Mahat, N. Mithulananthan, AN ANALYTICAL APPROACH FOR DG ALLOCATION IN PRIMARY DISTRIBUTION NETWORK International Journal of Electrical Power & Energy Systems. ,vol. 28, pp. 669- 678 ,(2006) , 10.1016/J.IJEPES.2006.02.013
Francisco Jurado, Antonio Cano, Optimal placement of biomass fuelled gas turbines for reduced losses Energy Conversion and Management. ,vol. 47, pp. 2673- 2681 ,(2006) , 10.1016/J.ENCONMAN.2005.10.033
R.C. Eberhart, Y. Shi, Guest Editorial Special Issue on Particle Swarm Optimization IEEE Transactions on Evolutionary Computation. ,vol. 8, pp. 201- 203 ,(2004) , 10.1109/TEVC.2004.830335
Ulas Eminoglu, M. Hakan Hocaoglu, A new power flow method for radial distribution systems including voltage dependent load models Electric Power Systems Research. ,vol. 76, pp. 106- 114 ,(2005) , 10.1016/J.EPSR.2005.05.008
M.E. Baran, F.F. Wu, Optimal capacitor placement on radial distribution systems IEEE Transactions on Power Delivery. ,vol. 4, pp. 725- 734 ,(1989) , 10.1109/61.19265
D. Shirmohammadi, H.W. Hong, A. Semlyen, G.X. Luo, A compensation-based power flow method for weakly meshed distribution and transmission networks IEEE Transactions on Power Systems. ,vol. 3, pp. 753- 762 ,(1988) , 10.1109/59.192932