Hong Zhang
School of Electrical Engineering, Southeast University, Nanjing, 210096, Jiangsu, China
Xueliang Huang
School of Electrical Engineering, Southeast University, Nanjing, 210096, Jiangsu, China
Jun Li
School of Electrical Engineering, Nanjing Institute of Technology, Nanjing, 211167, Jiangsu, China
ABSTRACT
In the distribution network with wind power, due to the different costs of different power tariff from different power source, the minimum power loss of the distribution networks does not always correspond to the largest economic efficiency. In the most cases, to ensure the distribution network power quality at the same time get the most economic efficiency is an important goal of the enterprise. The new improved distribution network optimization model is an economic optimization model that has important theoretical and economic value. This new model can solve some problems of economic optimization of Chinese current distribution network with distributed power.
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How to cite this article
Hong Zhang, Xueliang Huang and Jun Li, 2013. Research for a New Optimization Model of Electric Distribution Network with Wind Power. Information Technology Journal, 12: 8025-8029.
DOI: 10.3923/itj.2013.8025.8029
URL: https://scialert.net/abstract/?doi=itj.2013.8025.8029
DOI: 10.3923/itj.2013.8025.8029
URL: https://scialert.net/abstract/?doi=itj.2013.8025.8029
REFERENCES
- Daly, P.A. and J. Morrison, 2001. Understanding the potential benefits of distributed generation on power delivery systems. Proceedings of the Rural Electric Power Conference, April 29-1 May, 2001, IEEE Computer Society, USA., pp: A2/1-A213.
CrossRefDirect Link - Goswami, S.K. and S.K. Basu, 1992. A new algorithm for the reconfiguration of distribution feeders for loss minimization. IEEE Trans. Power Delivery, 7: 1484-1491.
CrossRefDirect Link - Iyer, H., S. Ray and R. Ramakumar, 2006. Assessment of distributed generation based on voltage profile improvement and line loss reduction. Proceedings of the IEEE PES Transmission and Distribution Conference and Exhibition, May 21-24, 2006, Dallas, TX., pp: 1171-1176.
CrossRef - Lin, W.M. and H.C. Chin, 1998. A new approach for distribution feeder reconfiguration for loss reduction and service restoration. IEEE Trans. Power Deliv., 13: 870-875.
CrossRefDirect Link - Niknam, T., B.B. Firouzi and A. Ostadi, 2010. A new fuzzy adaptive particle swarm optimization for daily Volt/Var control in distribution networks considering distributed generators. Applied Energy, 87: 1919-1928.
CrossRef - Tapia, A., G. Tapia and J.X. Ostolaza, 2004. Reactive power control of wind farms for voltage control applications. Renew. Energy, 29: 377-392.
CrossRefDirect Link - Venkatesh, B., G. Sadasivam and M. Abdullah Khan, 2000. A New optimal reactive power scheduling method for loss minimization and voltage stability margin maximization using successive multi-objective fuzzy LP technique. IEEE Trans. Power Syst., 15: 844-851.
CrossRef - Zhang, D., Z. Fu and L. Zhang, 2008. Joint optimization for power loss reduction in distribution systems. IEEE Power Syst. Transact., 23: 161-169.
CrossRef - Zhu, Y. and K. Tomsovic, 2002. Adaptive power flow method for distribution systems with dispersed generation. IEEE Trans. Power Deliv., 17: 822-827.
CrossRefDirect Link