Multi-Objective Optimal Power Flow using BAT Search Algorithm with Unified Power Flow Controller for Minimization of Real Power Losses

In this paper a multi objective optimal power flow OPF is obtained by using BAT search algorithm BAT with Unified power flow controller UPFC. UPFC is a voltage source converter type Flexible Alternating Current Transmission System FACTS device. It is able to control the voltage magnitudes, voltage angles and line impedances individually or simultaneously. UPFC along with BAT algorithm is used to minimize the total real power generation cost, real power losses in OPF control. The BAT algorithm based OPF has been examined and tested on a 5 bus test system and modified IEEE 30 bus system without and with UPFC. The results obtained with BAT algorithm are compared with Differential Evaluation DE.

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

[2]  Yog Raj Sood,et al.  Efficient and optimal approach for location and parameter setting of multiple unified power flow controllers for a deregulated power sector , 2012 .

[3]  Peerapol Jirapong.  FACTS Devices Allocation for Power Transfer Capability Enhancement and Power System Losses Reduction , 2013, Int. J. Energy Optim. Eng..

[4]  Yoke Lin Tan,et al.  Dynamic characteristic study of UPFC based on a detailed simulation model , 2000, 2000 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.00CH37077).

[5]  Xin-She Yang,et al.  Nature-Inspired Metaheuristic Algorithms , 2008 .

[6]  T. J. Hammons,et al.  Flexible AC transmission systems (FACTS) , 1997 .

[7]  Xin-She Yang,et al.  A New Metaheuristic Bat-Inspired Algorithm , 2010, NICSO.

[8]  William F. Tinney,et al.  Power Flow Solution by Newton's Method , 1967 .

[9]  Gyanendra Kumar Goyal,et al.  Artificial Neural Network Simulated Elman Models for Predicting Shelf Life of Processed Cheese , 2012, Int. J. Appl. Metaheuristic Comput..

[10]  L. Gyugyi,et al.  The unified power flow controller: a new approach to power transmission control , 1995 .

[11]  Laurent Deroussi,et al.  Discrete Particle Swarm Optimization for the Multi-Level Lot-Sizing Problem , 2011, Int. J. Appl. Metaheuristic Comput..

[12]  Venkata Nagesh Kumar Gundavarapu,et al.  Optimal Location of Thyristor-controlled Series Capacitor to Enhance Power Transfer Capability Using Firefly Algorithm , 2014 .

[13]  K. Uma Rao,et al.  Modeling and control of unified power flow controller for transient stability , 1999 .

[14]  G. W. Stagg,et al.  Computer methods in power system analysis , 1968 .

[15]  P. Kundur,et al.  Power system stability and control , 1994 .

[16]  Ahmad Mozaffari,et al.  A Fuzzy Model with Thermodynamic Based Consequents and a Niching Swarm-Based Supervisor to Capture the Uncertainties of Damavand Power System , 2014, Int. J. Appl. Metaheuristic Comput..

[17]  A. Kazemi,et al.  Multiobjective Optimal Location of FACTS Shunt-Series Controllers for Power System Operation Planning , 2012, IEEE Transactions on Power Delivery.

[18]  Provas Kumar Roy,et al.  Hybridization of Biogeography-Based: Optimization with Differential Evolution for Solving Optimal Power Flow Problems , 2013, Int. J. Energy Optim. Eng..

[19]  K. R. Padiyar,et al.  Control design and simulation of unified power flow controller , 1998 .

[20]  Enrique Acha,et al.  FACTS: Modelling and Simulation in Power Networks , 2004 .

[21]  A. Edris,et al.  FACTS technology development: an update , 2000 .

[22]  J. Carpentier,et al.  Optimal Power Flows , 1979, VSC-FACTS-HVDC.

[23]  Victor Parada,et al.  Marriage in Honeybee Optimization to Scheduling Problems , 2011 .