Optimal scheduling of generators to maximize GENCOs profit using LR combined with ABC algorithm in deregulated power system

Deregulated power industries increase the efficiency of electricity production, distribution and more reliable electricity at low prices. In a deregulated environment, utilities are not required to meet the total load demand. Generation companies (GENCOs) schedule their generators with an objective to maximize their own profit rather than compromising on social benefit. Profit Unit commitment (PBUC) in deregulated power system has a different objective than that of traditional unit commitment.. This paper presents a hybrid model between Lagrangian Relaxation (LR) and an artificial bee colony (ABC) algorithm, to solve the profit-based unit commitment problem. The proposed approach is investigated on ten units 24 hour test system and numerical results are tabulated. Simulation results shows that this approach effectively maximize the GENCO's profit when compared with existing methods.

[1]  D. P. Kothari,et al.  Solution to profit based unit commitment problem using particle swarm optimization , 2010, Appl. Soft Comput..

[2]  Narayana Prasad Padhy,et al.  Unit commitment problem under deregulated environment-a review , 2003, 2003 IEEE Power Engineering Society General Meeting (IEEE Cat. No.03CH37491).

[3]  Arthur I. Cohen,et al.  A Branch-and-Bound Algorithm for Unit Commitment , 1983, IEEE Transactions on Power Apparatus and Systems.

[4]  K. Chandram,et al.  Improved Pre-prepared Power Demand Table and Muller's Method to Solve the Profit Based Unit Commitment Problem , 2009 .

[5]  N.P. Padhy,et al.  Unit commitment-a bibliographical survey , 2004, IEEE Transactions on Power Systems.

[6]  Maia Carter Hallward.  Restructured Electrical Power Systems: Operation, Trading, And Volatility , 2015 .

[7]  Antonio J. Conejo,et al.  A Parallel Repair Genetic Algorithm to Solve the Unit Commitment Problem , 2002, IEEE Power Engineering Review.

[8]  Jianzhong Zhou,et al.  An adaptive artificial bee colony algorithm for long-term economic dispatch in cascaded hydropower systems , 2012 .

[9]  M. Shahidehpour,et al.  Price-based unit commitment: a case of Lagrangian relaxation versus mixed integer programming , 2005, IEEE Transactions on Power Systems.

[10]  M. Carrion,et al.  A computationally efficient mixed-integer linear formulation for the thermal unit commitment problem , 2006, IEEE Transactions on Power Systems.

[11]  P. Attaviriyanupap,et al.  A Hybrid LR-EP for Solving New Profit-Based UC Problem under Competitive Environment , 2002, IEEE Power Engineering Review.

[12]  Sishaj P. Simon,et al.  Nodal ant colony optimization for solving profit based unit commitment problem for GENCOs , 2012, Appl. Soft Comput..

[13]  Mohammad Shahidehpour,et al.  Electricity Price Forecasting , 2002 .

[14]  M. Shahidehpour,et al.  Security-constrained optimal generation scheduling for GENCOs , 2004, IEEE Transactions on Power Systems.

[15]  K. W. Edwin,et al.  Integer Programming Approach to the Problem of Optimal Unit Commitment with Probabilistic Reserve Determination , 1978, IEEE Transactions on Power Apparatus and Systems.

[16]  M. Shahidehpour,et al.  Restructured Electrical Power Systems: Operation: Trading, and Volatility , 2001 .

[17]  Pavlos S. Georgilakis,et al.  A new memetic algorithm approach for the price based unit commitment problem , 2011 .

[18]  Mousumi Basu,et al.  Bee colony optimization for combined heat and power economic dispatch , 2011, Expert Syst. Appl..

[19]  Gerald B. Sheblé,et al.  A profit-based unit commitment GA for the competitive environment , 2000 .

[20]  Zuyi Li,et al.  Market Operations in Electric Power Systems : Forecasting, Scheduling, and Risk Management , 2002 .

[21]  S. M. Shahidehpour,et al.  A new approach for GenCos profit based unit commitment in day-ahead competitive electricity markets considering reserve uncertainty , 2007 .

[22]  Walter L. Snyder,et al.  Dynamic Programming Approach to Unit Commitment , 1987, IEEE Transactions on Power Systems.

[23]  Jun Hasegawa,et al.  A hybrid LR-EP for solving new profit-based UC problem under competitive environment , 2002 .

[24]  M. Sydulu,et al.  New approach with Muller method for Solving Profit Based Unit Commitment , 2008, 2008 Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies.

[25]  Allen J. Wood,et al.  Power Generation, Operation, and Control , 1984 .

[26]  M. Shahidehpour,et al.  Security-constrained optimal generation scheduling for GENCOs , 2004 .

[27]  Chuan-Ping Cheng,et al.  Unit commitment by Lagrangian relaxation and genetic algorithms , 2000 .