Reactive Power Planning for Loss Minimization Using Simulated Annealing

Abstract: This paper addresses an optimal Reactive Power Planning (RPP) of power system. The Static Var Compensator (SVC) is introduced into power system in order to reactive power support and voltage control. The locations and the outputs of SVCs are determined using our proposed optimal reactive power planning model. The proposed method optimizes several objective functions at the same time within one general objective. The optimized objectives are minimization of total investment in reactive power support, average voltage deviation and minimization of total system loss. These objective functions are one of the most important objectives for every transmission and distribution systems. Simulated Annealing technique (SA) is used to solve the optimization problem. The validity of the proposed method is tested on a typical power system

Direct Load Control Programs by using of Logarithmic Modeling in Electricity Markets

Abstract: In this study a logarithmic modeling for Direct Load Control programs (DLC) as incentive-based Demand Response Programs (DRPs) is presented. The proposed model considers nonlinear behavioral characteristic of elastic loads which causes to more realistic modeling of demand response to DLC rates. To demonstrate the validity of the proposed technique, a real world power system is considered as test system. Where, Iranian power system is investigated. Simulation results emphasis on the effectiveness impact of running DLC programs using proposed logarithmic model on load profile of the peak day of the proposed power system

Power System Stabilizer Parameters Tuning Based On Tabu Search in a Multi Machine Power System

Abstract: Power system stabilizers (PSSs) are used to enhance damping of power system oscillations through excitation control of synchronous generator. The objective of the PSS is to generate a stabilizing signal, which produces a damping torque component on the generator shaft. Conventional Power system stabilizers (CPSSs) are designed with the phase compensation technique in the frequency domain and include the lead-lag blocks and related parameters are determined according to a linearized power system model. The performance of CPSSs depends upon the generator operating point and the system parameters, but a reasonable level of robustness can be achieved depending on the tuning method. To overcome the drawbacks of CPSS, numerous techniques have been proposed in literatures. In this paper an optimization method based on Tabu search (SA) is used for tuning the PSS parameters. The performance of proposed SA-PSS is evaluated at IEEE 14 bus test system as a multi machine electric power system. The simulation results clearly indicate the effectiveness and validity of the proposed method