Beetle swarm optimization based multi objective optimal power flow for power system stability enhancement

Abstract

Optimal power flow (OPF) is one of the most significant and extensively performed optimization problems from the past few decades. In general, OPF is a mathematical optimization technique used to determine the most efficient operation of a power system by minimizing fuel cost, losses, emission and maximizing the system s performance. The study of power flow is a steady-state analysis and its aim is to decide the voltages, currents, and real and reactive power flows in a system under a given load conditions. It is used to determine the optimal operation of a power system in terms of active and reactive power flow, voltage levels, and generation and load capacities. It also implemented to optimize the operation of the power system given constraints such as transmission line capacity, generation and load limits, and other system constraints. OPF algorithms typically employ a combination of linear programming, nonlinear programming, and heuristic search techniques to solve the optimization problem. OPF algorithms are used in a variety of applications, including unit commitment, security-constrained economic dispatch, and transmission system planning. Inside this structure, though, there is an extremely wide range of OPF solution methods and formulations. newline