Optimized placement of multiple FACTS devices using PSO and CSA algorithms

This paper is an attempt to develop a multi-facts device placementin deregulated power system using optimization algorithms. The deregulated power system is the recent need in the power distribution as it has many independent sellers and buyers of electricity. The problem of deregulation is the quality of the power distribution as many sellers are involved. The placement of FACTS devices provides the solution for the above problem. There are researches available for multiple FACTS devices. The optimization algorithms like Particle Swarm Optimization (PSO) and Cuckoo Search Algorithm (CSA) are implemented to place the multiple FACTS devices in a power system. MATLAB based implementation is carried out for applying Optimal Power Flow (OPF) with variation in the bus power and the line reactance parameters. The cost function is used as the objective function. The cost reduction of FACTS as well as generation by placement of different compensators like, Static Var Compensator (SVC), Thyristor Controlled Series Compensator (TCSC) and Unified Power Flow Controller (UPFC). The cost calculation is done on the 3-seller scenario. The IEEE 14 bus is taken here as 3-seller system

Power Flow and Transient Stability Enhancement using Thyristor Controlled Series Compensation

TL (Transmission Line) congestion is a key factor that affects the power system operational cost. In addition of renewable generation in National Grid of Pakistan, transmission line congestion are frequent. Consequently, the network in this particular region faces severe congestion and dynamic stability problems. It has been planned that renewable plants shaved to curtail some available generation to minimize this inevitable congestion. However, one of the cost-efficient solutions to this problem is series compensation of lines using TCSC (Thyristor Controlled Series Compensation). It significantly increases the transfer capability of existing power transmission and enhances the dynamic stability of system at a lower cost, and has shorter installation time as compared to the construction of new TLs. This paper deals with the dynamic modeling of a TCSC in the NTDC (National Transmission and Dispatch Company) network with its applications to alleviate congestion during fault conditions. This study has been carried out using simulation software PSS/E (Power System Simulator for Engineers) which does not have a predefined dynamic model for TCSC, this leads to the necessity of creating a user defined model. The model of TCSC has been programmed in FORTRAN and compiled along with existing dynamic models of network components. The results indicate that power flow and dynamic stability of network is enhance

Robust Coordinated Control of FACTS Devices in Large Power Systems

With the rapid development of power electronics, Flexible AC Transmission Systems (FACTS) devices have been proposed and implemented in power systems. This research mainly investigates the robust coordinated control of FACTS devices and traditional power system controllers in large power systems. The following objectives have been achieved: 1. FACTS modeling and controller design: FACTS devices are modeled using the current injection method. Linear and non-linear methods for the FACTS damping controller design are developed. 2. Optimal choice and allocation of FACTS devices: Using the genetic algorithms, the locations of the FACTS devices, their types and rated values are optimized simultaneously. The objective function, which consists of the investment costs for FACTS devices and the generation costs, is minimized. 3. Adaptive FACTS transient controller design using ANFIS technology: This objective deals with the development of fuzzy adaptive FACTS transient stability controller. Furthermore, by means of Adaptive Network based Fuzzy Inference System (ANFIS) technology, the fuzzy controller parameters are optimized. 4. Simultaneous coordinated tuning of FACTS damping controller and conventional Power System Stabilizers (PSSs): Using the linearized power system model and the parameter-constrained non-linear optimization algorithm, interactions among PSS and FACTS damping controllers are considered. The controller parameters are optimized simultaneously to achieve a global optimal damping behavior. 5. Robust FACTS loop-shaping Power Oscillation Damping (POD) controller design in multi-machine power systems: By applying the model reduction and modern robust loop-shaping control technique, the FACTS robust loop-shaping POD controller is realized. This controller exploits the advantages of both conventional loop-shaping and modern H infinite robust control technique. Moreover, it is a decentralized approach and suitable for FACTS controller design in real large power systems. Die Dissertation erscheint parallel im Logos-Verlag, Berlin mit der ISBN 3-8325-0570-

Review of Congestion Management Methods in Deregulated Power Markets

This paper addresses the increasingly important issue of the emerging deregulated electricity markets congestion management. Major congestion management methods in the new market environment from the international technical literature are presented and classified according to security-constrained generation re-dispatch, zonal/cluster based management, network sensitivity factor based method, congestion management using FACTS devices, congestion pricing and market-based methods, congestion management using demand-side resource, and financial transmission rights. Brief discussions and comments about these methods are presented