Optimal Power Flow for Indian 75 Bus System Using Differential Evolution
The optimal power flow (OPF) has been commonly used as an efficient tool in the power system planning and operation for many years. OPF is an important tool in modern Energy Management System (EMS). It plays an important role in maintaining the economy of the power system. The problem of OPF subjected to set of equality and inequality constraints was originally formulated in 1962 by Carpentier . The OPF problem is a nonlinear, non-convex, large scale, static optimization problem with both continuous (generator voltage magnitudes and active powers) and discrete (transformer taps and switchable shunt devices) control variables. Even in the absence of discrete control variables, the OPF problem  is non convex due to the existence of the nonlinear (AC) power flow equality constraints. The presence of discrete control variables, such as switchable shunt devices, transformer tap positions further complicates the problem solution.
KeywordsParticle Swarm Optimization Differential Evolution Differential Evolution Algorithm Optimal Power Flow Shunt Reactor
Unable to display preview. Download preview PDF.
- 1.Wood Allen, J., Bruce, F.: Power Generation Operation and Control. John Wiley and Sons, Inc., New York (1984)Google Scholar
- 3.Sbalzarini, I.F., Muller, S., Koumoutsakos, P.: Multiobjective optimization using evolutionary algorithms, Center for Turbulence Research, Proceedings of the summer program (2000)Google Scholar
- 4.Osman, M.S., Abo-Sinna, M.A., Mousa, A.A.: A solution to the optimal power flow using genetic algorithm. Appl. Math. Comput. (2003)Google Scholar
- 8.Sailaja Kumari, M., Sydulu, M.: An Improved Evolutionary Computation Technique for Optimal Power Flow Solution. International Journal of Innovations in Energy Systems and Power 3(1), 32–45 (2008)Google Scholar
- 11.Mehrabian, A.R., Lucas, C.: A novel numerical optimization algorithm inspired from weed Colonization. Ecological Informatics, 355–366 (2006)Google Scholar
- 12.Dekker, J.: Course Works of Agronomy 517: A course on the biology and evolutionary ecology of invasive weeds (2005)Google Scholar