A New Approach Meta-Heurestics Optimization Techniques to Solve Multi Objective Optimal Power Flow Problems
Author:
Affiliation:
1. Doctoral School of Energy Engineering, National University of Science and Technology, POLITEHNICA Bucharest,Bucharest,Romania
2. People's friendship University of Russian,Dept. electrical and heat engineering. Engineering academy,Moscow,Russia
Funder
National University of Science and Technology POLITEHNICA Bucharest
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10349700/10349351/10349733.pdf?arnumber=10349733
Reference20 articles.
1. Optimal Power Flow Solutions
2. An efficient algorithm for power load flow solutions by schur complement and threshold technique;Ameri;Int. J. Adv. Res. Electr. Electron. Instrum. Engine,2014
3. Improved algorithm of Newton Raphson power flow using GCC limit based on neural network;Syaiin;Int. J. Electr. Comput. Sci.,2012
4. Comparison between load flow analysis methods in power system using MATLAB;Singhal;Int. J. Sci. Eng. Res.,2014
5. Constrained Load Flow Using Recursive Quadratic Programming
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