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Nguồn tham khảo
| Tài liệu tham khảo | Loại | Chi tiết | ||
|---|---|---|---|---|
| 1. Jakob Vesterstrứm, Ren´e Thomsen. ―A Comparative Study of Differential Evolution, Particle Swarm Optimization, and Evolutionary Algorithms on Numerical Benchmark Problems‖. IEEE transactions on evolutionary computation, vol. 10, no. 6, december 2006 | Sách, tạp chí |
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| 17. Ongsakul, W., and Bhasaputra, P., 2002. ―Optimal Power Flow with FACTSDevices by Hybrid TS/SA Approach‖. International Journal of Electrical Powerand Energy Systems, 24: 851-857 | Sách, tạp chí |
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| 23. G. Shaoyun and TS Chung. ―Optimal active power flow incorporating FACTS devices with power flow control constraints‖. Electrical Power &Energy System, Vol.20, No.5, pp. 321-326, 1998 | Sách, tạp chí |
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| 25. B. Mahdad, K. Srairi, T. Bouktir. ―Optimal power flow for large-scale power system with shunt FACTS using efficient parallel GA‖. Electrical Power and Energy Systems journal homepage:www.elsevier.com/locate/ijepes | Sách, tạp chí |
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| 2. Rainer Storn, Kenneth Price. ―Differential Evolution – A Simple and Efficient Heuristic for Global Optimization over Continuous Spaces‖ | Khác | |||
| 3. Rania Hassan, Babak Cohanim, Olivier de Weck, Gerhard Venter: ―A Comparison Of Particle SwarmOptimization and The Genetic Algorithm‖ | Khác | |||
| 4. Yamille del Valle, Ganesh Kumar Venayagamoorthy, Salman Mohagheghi, Jean-Carlos Hernandez and Ronald G. Harley. ―Particle Swarm Optimization: Basic Concepts, Variants and Applications in Power Systems‖ | Khác | |||
| 5. Samir SAYAH, Khaled ZEHAR. ―Using Evolutionary Computation to Solve the Economic Load Dispatch Problem‖ | Khác | |||
| 6. 1K.Vaisakh, 2L.R.Srinivas. ―Differential evolution approach for optimal power flow solution‖ | Khác | |||
| 7. M.Vanitha1 and K.Thanushkodi2. ―Solution to Economic Dispatch Problem by Differential Evolution Algorithm Considering Linear Equality and Inequality Constrains‖ | Khác | |||
| 8. Manisha Sharma, Manjaree Pandit*, Laxmi Srivastava. ―Multi-area economic dispatch with tie-line constraints employing evolutionary approach‖ | Khác | |||
| 9. G. A. Bakare, G. Krost, G. K. Venayagamoorthy. ―Comparative Application of DifferentialEvolution and Particle Swarm Techniques toReactive Power and Voltage Control‖ | Khác | |||
| 10. R.Balamurugan and S.Subramanian. ―Self-Adaptive Differential Evolution BasedPower Economic Dispatch of Generators withValve- Point Effects and Multiple Fuel Options‖ | Khác | |||
| 11. Sidhartha Panda, N. P. Padhy. ―Comparison of Particle Swarm Optimizationand Genetic Algorithm for TCSC-basedController Design‖ | Khác | |||
| 12. G. Shaoyun and TS Chung. ―Optimal active power flow incorporating FACTS devices with power flow control constraints‖. Electrical Power and Energy System, Vol.20, No.5, pp.321-326, 1998 | Khác | |||
| 13. M. Basu. ―Optimal power flow with facts devices using differential evolution‖. Electrical Power and Energy System 30 (2008) 150-156 | Khác | |||
| 14. A. Arunya Revathi, N.S. Marimuthu, P.S.Kannan and V. Suresh Kumar. ―Optimal Active Power Flow with Facts Devices Using Efficient Genetic Algorithm‖ | Khác | |||
| 15. T.S. Chung, Y.Z. Li. ―A Hybrid GA Approach for OPF with Consideration of FACTS Devices‖ | Khác | |||
| 16. K.chandrasekaran, K.arul Jeyaraj, Sahayasenthamil, Dr. M.saravanan. ―A new method to incorporate facts devicesin optimal power flow using particle swarmoptimization‖ | Khác | |||
| 18. Hingorani, N.G., and Gyugyi, L., 2000. ―Understanding FACTS: Concepts andTechnology of Flexible AC Transmission Systems‖. The Institution of ElectronicEngineers | Khác |
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