Static Economic Dispatch Incorporating UPFC Using Artificial Bee Colony Algorithm

Static economic dispatch is a real-time problem in power system network. Here, the real power output of each generating unit is calculated with respect to forecasted load demand over a time horizon while satisfying the system constraints. This paper explains the impact of unified power flow controller (UPFC) in static economic dispatch (SED) using artificial bee colony (ABC) algorithm. UPFC is a converter (shunt and series)-based FACTS device, which can control all the parameters in a transmission line individually or simultaneously. ABC algorithm that imitates the foraging behavior of honey bees is used as an optimization tool. The impact of UPFC in reducing the generation cost, loss, and improving voltage profile, power flow are demonstrated. The studies are carried out in an IEEE 118 bus test system and a practical South Indian 86 bus utility.

[1]  N. Jenkins,et al.  Investigation of a unified power flow controller , 1999 .

[2]  Dervis Karaboga,et al.  Artificial Bee Colony (ABC) Optimization Algorithm for Solving Constrained Optimization Problems , 2007, IFSA.

[3]  M. Saravanan,et al.  Application of particle swarm optimization technique for optimal location of FACTS devices considering cost of installation and system loadability , 2007 .

[4]  G. Saravana Ilango,et al.  Control algorithms for control of real and reactive power flows and power oscillation damping using UPFC , 2009 .

[5]  Jong-Bae Park,et al.  An Improved Particle Swarm Optimization for Nonconvex Economic Dispatch Problems , 2010 .

[6]  Akihiko Yokoyama,et al.  Integrated Linear and Nonlinear Control of Unified Power Flow Controllers for Enhancing Power System Stability , 2003 .

[7]  G. Sheblé,et al.  Genetic algorithm solution of economic dispatch with valve point loading , 1993 .

[8]  Laszlo Gyugyi,et al.  Understanding FACTS: Concepts and Technology of Flexible AC Transmission Systems , 1999 .

[9]  A. Selvakumar,et al.  A New Particle Swarm Optimization Solution to Nonconvex Economic Dispatch Problems , 2007, IEEE Transactions on Power Systems.

[10]  R. R. Shoults,et al.  A Dynamic Programming Based Method for Developing Dispatch Curves When Incremental Heat Rate Curves Are Non-Monotonically Increasing , 1986, IEEE Power Engineering Review.

[11]  D. Karaboga,et al.  On the performance of artificial bee colony (ABC) algorithm , 2008, Appl. Soft Comput..

[12]  P. K. Chattopadhyay,et al.  Evolutionary programming techniques for economic load dispatch , 2003, IEEE Trans. Evol. Comput..

[13]  P. S. Dokopoulos,et al.  Network-Constrained Economic Dispatch Using Real-Coded Genetic Algorithm , 2002, IEEE Power Engineering Review.

[14]  M. Pandit,et al.  Self-Organizing Hierarchical Particle Swarm Optimization for Nonconvex Economic Dispatch , 2008, IEEE Transactions on Power Systems.

[15]  P. L. So,et al.  A current injection UPFC model for enhancing power system dynamic performance , 2000, 2000 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.00CH37077).