• Mr. Kishan Bhayani
• Ms. shilpa kathad
• Mr. Maulik Kathad

Presented work focuses on optimal power flow analysis. The major objective for this system is to minimize fuel cost without violating system security constraints such as power output of generator; bus voltages, shunt capacitors/reactors and transformers tap setting. To achieve this, initially, IEEE-6 bus system and IEEE-30 bus system are tested for is Genatical Algorithm also. The work is carried out to make use of particle swarm optimization method for solving the optimal power flow (OPF) problem for units of the same systems. The optimal power flow (OPF) is being used to find the optimal setting to operate the system. When operating cost is minimized, the generator schedule is calculated by OPF. Traditionally, the cost function of each generator is represented by a simple quadratic function. However thermal units are sometimes made to run on multiple fuels like coal, natural gas and oil. The performance of the proposed method has been demonstrated under simulated conditions on IEEE- 6 bus system with 3-generator unit and IEEE-30-Bus system with 6-Generation units

GA,OPF

"Design and application of Genetic Algorithm for Fuel Cost Minimization to ensure secure operation of Power System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.3, Issue 4, page no.320-326, May-2016, Available :http://www.jetir.org/papers/JETIR1604061.pdf

"Design and application of Genetic Algorithm for Fuel Cost Minimization to ensure secure operation of Power System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.3, Issue 4, page no. pp320-326, May-2016, Available at : http://www.jetir.org/papers/JETIR1604061.pdf