Optimal Location of UPFC to Optimize the Real Power Losses and Voltage Stability Limit by Using Modified Shuffled Frog Leap Algorithm

Abstract

This paper deals with the Optimal location and control of a unified power flow controller (UPFC) along with transformer taps are tuned to simultaneously optimize the voltage stability limit (VSL) and real power losses of a radial power system network. This problem is deals with a nonlinear equality and inequality constrained optimization problem with an objective function incorporating both the real power loss and VSL. An Meta-Heauristic algorithm known as Modified shuffled frog leap is applied for solving the UPFC location, its injected voltages are in series, a tap positions of secondary side transformers as they are variables. The obtained results of MSFL Algorithm Compared with Bacteria foregoing algorithm using IEEE 39 bus. KEYWORDS:Modified Shuffled frog leap, continuation power flow (CPF), optimal power flow (OPF).UPFC. I.INTRODUCTIONThe OPF methods are conventional and intelligent and solved by varieties of methods such as successive linear programming, the Newton raphson-based nonlinear programming method, and with varieties of recently proposed interior point methods. The Opf solution is used to optimize a selected objective function such as fuel cost with optimal adjustment of the power system control variables, at the same time satisfying various equity and inequality constraints. The drawback of the Optimal power flow is solved from different analysis, like the effects of load on voltage stability/power flow solvability, generation rescheduling for cost minimization of power generation, controls such as tap control on transformers, shunt devices, and other modern Var sources adjustments to minimize real power losses in the system. The advent of Flexible ac transmission systems (FACTS) system made the possibility for optimizing the power flow without the restoration of generation rescheduling or changes to topology. Unified power flow controller (UPFC) is the advanced in the controller's family and can provide the OPF with significant flexibility by injecting compensation in series and shunt in controlled manner. The UPFC can provide simultaneous control of all basic power system parameters like (transmission voltages, impedance value and different phase angles).In this paper, the voltage stability limit is defined as the maximum percentage overloading (λmax) the system can withstand and incorporated along with the objective of real power loss minimization. The classical techniques of OPF solution has the disadvantage that they are sensitive to starting points and leading monotonic solution. the problem has to eliminate by using evolutionary techniques has been applied for solving the OPF problem [10], [11] like particle swarm optimization (PSO) to the problem of OPF. In this paper a new evolutionary algorithm known as Shuffled Frog Leap algorithm (SFLA) is used to solve the combined problem of CPF-OPF for real power loss minimization and VSL maximization of the system. The algorithm has been inspired from memetic evolution of a group of frogs when looking for food. In Sfla, a solution to a...