Novel Approach for Security Constrained Optimal Power Flow Solution of Utility Grid Power Network

This paper presents a study of security constrained optimal power flow to minimize the generation cost while maintaining the system parameters within permissible limits. These parameters include voltage, line power flow, active power and reactive power generation of power plants. A non-linear quadratic cost objective function is formulated considering the active power generated by the generators. MATPOWER interior point solver is used to solve the test network of IEEE-9 bus system to minimize the cost objective function considering security constrained limits of the bus voltages, line power flows and active power generated by the generators. This is established that proposed quadratic cost function is effective to run the system at minimum cost while maintaining the security system limits. Study is performed using the MATPOWER tool of the MATLAB software.