Enhancement of power system operation using grey wolf optimization algorithm

The optimization process of the total generation cost is very important in a power system. Economic Load Dispatch (ELD) and Unit Commitment (UC) are very important applications to predict the optimized cost of load in a power system. UC determines working states for existing generating units under some operational constraints and then optimizing the operation cost for all running units w.r.t. load demand using economic dispatch. This paper shows a novel approach in view of Genetic Algorithm (GA) or Dynamic Programming (DP) to study UC and then Grey Wolf Optimization (GWO) technique is presented to give the solution of the constrained ELD problem of thermal plants depending on UC solution. The IEEE 30 bus system is used to test the demonstration of the solution quality, computation efficiency and the feasibility of the application of GWO algorithm for ELD problem compared with results from other techniques.

[1]  F. Albuyeh,et al.  Evaluation of Dynamic Programming Based Methods and Multiple area Representation for Thermal Unit Commitments , 1981, IEEE Transactions on Power Apparatus and Systems.

[2]  R. Fletcher Practical Methods of Optimization , 1988 .

[3]  Zwe-Lee Gaing,et al.  Particle swarm optimization to solving the economic dispatch considering the generator constraints , 2003 .

[4]  M. A. Abido,et al.  A niched Pareto genetic algorithm for multiobjective environmental/economic dispatch , 2003 .

[5]  N. Thenmozhi,et al.  Economic emission load dispatch using hybrid genetic algorithm , 2004, 2004 IEEE Region 10 Conference TENCON 2004..

[6]  A. Ebenezer Jeyakumar,et al.  A modified hybrid EP–SQP approach for dynamic dispatch with valve-point effect , 2005 .

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

[8]  Lixiang Li,et al.  CHAOTIC PARTICLE SWARM OPTIMIZATION FOR ECONOMIC DISPATCH CONSIDERING THE GENERATOR CONSTRAINTS , 2007 .

[9]  A. Immanuel Selvakumar,et al.  Anti-predatory particle swarm optimization : Solution to nonconvex economic dispatch problems , 2008 .

[10]  Almoataz Y. Abdelaziz,et al.  Dynamic Economic Dispatch Using a Hybrid Hopfield Neural Network Quadratic Programming Based Technique , 2009 .

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

[12]  Nima Amjady,et al.  Solution of nonconvex and nonsmooth economic dispatch by a new Adaptive Real Coded Genetic Algorithm , 2010, Expert Syst. Appl..

[13]  Li Cheng,et al.  A New Metaheuristic Bat-Inspired Algorithm , 2010 .

[14]  F. Z. Gherbi,et al.  Environmentally constrained economic dispatch via quadratic programming , 2011, 2011 International Conference on Communications, Computing and Control Applications (CCCA).

[15]  P. Subbaraj,et al.  Enhancement of Self-adaptive real-coded genetic algorithm using Taguchi method for Economic dispatch problem , 2011, Appl. Soft Comput..

[16]  N. Archana,et al.  Unit Commitment and Economic Load Dispatch using Self Adaptive Differential Evolution , 2012 .

[17]  Steffen Rebennack,et al.  Optimal power flow: a bibliographic survey I , 2012, Energy Systems.

[18]  Steffen Rebennack,et al.  Optimal power flow: a bibliographic survey II , 2012, Energy Systems.

[19]  S. Urekha,et al.  Solving Unit Commitment and Economic Load Dispatch Problems Using GA and PSO Algorithms , 2012 .

[20]  Xin-She Yang,et al.  Bat algorithm: literature review and applications , 2013, Int. J. Bio Inspired Comput..

[21]  Taher Niknam,et al.  Reserve Constrained Dynamic Environmental/Economic Dispatch: A New Multiobjective Self-Adaptive Learning Bat Algorithm , 2013, IEEE Systems Journal.

[22]  Iztok Fister,et al.  A hybrid bat algorithm , 2013, ArXiv.

[23]  Zeyi Sun,et al.  Dynamic Energy Control for Energy Efficiency Improvement of Sustainable Manufacturing Systems Using Markov Decision Process , 2013, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[24]  Fatiha Lakdja,et al.  Economic Dispatch Problem using Bat Algorithm , 2014 .

[25]  Sudhir Sharma,et al.  Economic Load Dispatch Using Grey Wolf Optimization , 2015 .

[26]  N. S. Bhangu,et al.  GREY WOLF OPTIMIZATION TECHNIQUE FOR SOLVING ECONOMIC LOAD DISPATCH PROBLEM , 2016 .

[27]  Hui Xu,et al.  An improved grey wolf optimizer algorithm integrated with Cuckoo Search , 2017, 2017 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS).