Simulation Modelling on Risk Based Optimal Power Flow Using Bio Inspired Algorithm

Abstract: Optimization of power system operation is vital for ensuring economics and security. This works considers optimization of fuel cost for achieving economics with security as a constraint. The real power outputs from generators are the control variables in optimal power flow (OPF). Conventional OPF minimizes only the fuel cost. Adequate security with regard to line flow violation is not guaranteed. This works takes into account the line flow as a constraint. Security is improved by adjusting the line power flows. The OPF-SC is a nonlinear programming optimization problem with complex discontinuous solution space. Cuckoo search algorithm is a recently developed algorithm known for its simplicity yet good searching capability. The control parameters are the real power generation, generator bus voltage, transformer tap position and SVC settings. The proposed methodology is to be tested on the standard IEEE-30 bus system.

Keywords: cuckoo search, risk based optimal power flow,IEEE-30 Bus,Fuel cost,SVC,OPF-SC.