Neuroidentification of system parameters for the shunt & series branch control of UPFC

Abstract

Absrraer-The crucial factor affecting the modern power systems today is load flow control. The Unified Power Flow Controller (UPFC) forms an affective means for controlling the power flow. The UPFC consists of shunt and series inverters which are conventionally controlled using linear controllers. This paper presents the design of neuroidentifiers that identify the system parameters that determine the UPFC controller outputs one-time step ahead thus, making the pathway for the design of adaptive neurocontrollers. Two neuroidentifiers are used for identifying the nonlinear dynamics of power system and UPFC, one neuroidentifier for the shunt inverter and the other for the series inverter. Simulation results carried out in the PSCADlEMTDC environment are presented to show the successful neuroidentification of system parameters are possible.

Design and development of a fuzzy coordinated control strategy for faults occurring at different buses in an interconnected power system

“…The inference involves a set of rules for determining the output decisions (Kalyani et al, 2003). As there are two input variables P UPFC-1 and P UPFC-2 and three fuzzified variables (S, M, B), the fuzzy logic coordination controller has a set of nine rules for each POD-based UPFC.…”

“…These are connected to each other by a common DC link, which is a typical storage capacitor. All these parameters of the power transmission line (impedance, voltage and phase angle) can be controlled simultaneously by UPFC (Kalyani et al, 2003). In addition, it can perform the control function of the transmission line real/reactive power flow, UPFC bus voltage and the shunt-reactivepower flow control (Kannan et al, 2004).…”