Abstract: The fully adaptive fault location method is based on synchronized phasor measurements obtained by Phasor Measurement Units (PMUs). The method utilizes only PMU synchronized measurements and does not require any data to be provided by the electric utility. Line parameters for each section of the line and Thevenin's equivalents (TEs) of the system at each of three terminals are determined online, utilizing three independent sets of pre-fault PMU measurements. This ensures that the actual operating conditions of the system are adequately considered. Simulation results show that the present method is capable of producing reliable and very accurate solutions.

Abstract: The particle swarm optimization method for microgrids formulates a control problem as an optimization problem and PSO is used to search the solution space for optimal parameter settings in each mode. The procedure models optimal design of an LC filter, controller parameters and damping resistance in grid-connected mode. Moreover, the procedure optimizes controller parameters and power sharing coefficients in autonomous mode. The method uses particular nonlinear time-domain-based and eigenvalue-based objective functions to minimize the error in the measured power, and also to enhance the damping characteristics, respectively.

Abstract: The particle swarm optimization method for microgrids formulates a control problem as an optimization problem and PSO is used to search the solution space for optimal parameter settings in each mode. The procedure models optimal design of an LC filter, controller parameters and damping resistance in grid-connected mode. Moreover, the procedure optimizes controller parameters and power sharing coefficients in autonomous mode. The method uses particular nonlinear time-domain-based and eigenvalue-based objective functions to minimize the error in the measured power, and also to enhance the damping characteristics, respectively.