Multi-Objective Short-Term Fixed Head Hydrothermal Scheduling Using Augmented Lagrange Hopfield Network

This paper proposes an augmented Lagrange Hopfield network (ALHN) based method for solving multi-objective short term fixed head hydrothermal scheduling problem. The main objective of the problem is to minimize both total power generation cost and emissions of NOx, SO₂, and CO₂ over a scheduling period of one day while satisfying power balance, hydraulic, and generator operating limits constraints. The ALHN method is a combination of augmented Lagrange relaxation and continuous Hopfield neural network where the augmented Lagrange function is directly used as the energy function of the network. For implementation of the ALHN based method for solving the problem, ALHN is implemented for obtaining non-dominated solutions and fuzzy set theory is applied for obtaining the best compromise solution. The proposed method has been tested on different systems with different analyses and the obtained results have been compared to those from other methods available in the literature. The result comparisons have indicated that the proposed method is very efficient for solving the problem with good optimal solution and fast computational time. Therefore, the proposed ALHN can be a very favorable method for solving the multi-objective short term fixed head hydrothermal scheduling problems.

[1]  Md. Sayeed Salam,et al.  Hydrothermal scheduling based Lagrangian relaxation approach to hydrothermal coordination , 1998 .

[2]  Hong-Tzer Yang,et al.  Scheduling short-term hydrothermal generation using evolutionary programming techniques , 1996 .

[3]  W.S. Sifuentes,et al.  Hydrothermal Scheduling Using Benders Decomposition: Accelerating Techniques , 2007, IEEE Transactions on Power Systems.

[4]  W. Ongsakul,et al.  Hopfield Lagrange for short-term hydrothermal scheduling , 2005, 2005 IEEE Russia Power Tech.

[5]  J. Sasikala,et al.  PSO based economic emission dispatch for fixed head hydrothermal systems , 2012 .

[6]  Y. W. Wong,et al.  Short-term hydrothermal scheduling. II. Parallel simulated annealing approach , 1994 .

[7]  Jirawadee Polprasert,et al.  Augmented Lagrange Hopfield Network for economic dispatch , 2007, 2007 Australasian Universities Power Engineering Conference.

[8]  Y. W. Wong,et al.  Short-term hydrothermal scheduling Part II: parallel simulated annealing approach , 1994 .

[9]  Hugh Rudnick,et al.  Short-term hydrothermal generation scheduling model using a genetic algorithm , 2003 .

[10]  R. Naresh,et al.  Two-phase neural network based solution technique for short term hydrothermal scheduling , 1999 .

[11]  Bruce A. Murtagh,et al.  Interactive fuzzy programming with preference criteria in multiobjective preference criteria in multiobjective decision-making , 1991 .

[12]  Refdinal Nazir.  Analysis of Harmonic Currents Propagation on the Self-Excited Induction Generator with Nonlinear Loads , 2014 .

[13]  Allen. J. Wood and Bruce F. Wollenberg.  ‘Power Generation, Operation and Control’, John Wiley & Sons, Inc., 2003. , 2015 .

[14]  Weerakorn Ongsakul,et al.  Enhanced merit order and augmented Lagrange Hopfield network for hydrothermal scheduling , 2008 .

[15]  Masatoshi Sakawa,et al.  An Interactive Fuzzy Satisficing Method for Multiobjective Linear-Programming Problems and Its Application , 1987, IEEE Transactions on Systems, Man, and Cybernetics.

[16]  Chung-Yuen Won,et al.  Design and Control Methods of Bidirectional DC-DC Converter for the Optimal DC-Link Voltage of PMSM Drive , 2014 .

[17]  D. P. Kothari,et al.  Fuzzy decision-making in stochastic multiobjective short-term hydrothermal scheduling , 2002 .

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

[19]  I. A. Farhat,et al.  Multi-objective short-term hydro-thermal scheduling using bacterial foraging algorithm , 2011, 2011 IEEE Electrical Power and Energy Conference.

[20]  Weerakorn Ongsakul,et al.  Improved merit order and augmented Lagrange Hopfield network for short term hydrothermal scheduling , 2009 .

[21]  Secundino Soares,et al.  A second order network flow algorithm for hydrothermal scheduling , 1995 .

[22]  L. Lakshminarasimman,et al.  Short-term scheduling of hydrothermal power system with cascaded reservoirs by using modified differential evolution , 2006 .

[23]  K. M. Nor,et al.  An efficient method for optimal scheduling of fixed head hydro and thermal plants , 1991 .

[24]  Jingrui Zhang,et al.  Small Population-Based Particle Swarm Optimization for Short-Term Hydrothermal Scheduling , 2012, IEEE Transactions on Power Systems.