Developemetn Calculation Tool for Multi-Objectivein Economic Compensation in Electrical Distribution Network
Main Article Content
Abstract
The power loss reduction has been one of the primary missions of electricity distribution companies. Currently, on distribution network, there are two technical methods which are employed to reduce power losses: load compensation and optimal network opening. In this paper, the authors proposed multi-objective optimal algorithm allows evaluating the effectiveness of the solutions to the different conditions. This algorithm is established in the Matlab environment. This tool is used to modeling and calculation the distribution network IEEE-16 buses with two objectives: minimum calculating cost when installing, operating capacitor and maximum amount of money gained from reduction of power losses when installing capacitor. The results have demonstrated the validity and feasibility of the proposed method.
Keywords
Power losses, load compensation, multi-objectives optimization, Pareto front
Article Details
References
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[3] Nguyen Huu Hieu, Optimizing reactive power compensation in a distribution system in case taking into account actual capacitors, Journal of Science and Technology - The University of Danang, No. 6(115).2017, pp.14-18.
[4] Nguyễn Hữu Phúc, Đặng Anh Tuấn (2007), Sử dụng phần mềm phân tích và tính toán lưới điện PSS/ADEPT.
[5] P. Ngatchou, A. Zarei, M. A. El-Sharkawi, "Pareto Multi Objective Optimization", 13th International Conference on Intelligent Systems Application to Power Systems, Arlington, VA, USA, November 2005.
[6] Nguyen Huu Hieu, Hoang Dung, Using algorithm NSGAII to solve the problem of mininizing power loss, Journal of Science and Technology -The University of Danang, Vol 11(96), Issue 2, 2015, pp. 58-62
[7] Deepak Pandey, Jitendra Singh Bhadoriya, Optimal Placement & Sizing Of Distributed Generation (DG) To Minimize Active Power Loss Using Particle Swarm Optimization (PSO). INTERNATIONAL JOURNAL OF SCIENTIFIC &TECHNOLOGY RESEARCH VOLUME 3, ISSUE 7, JULY 2014