Parallel ABC optimization algorithm for hydrothermal scheduling problems

This paper proposes a novel parallelization of ABC Algorithm to solve Short-term Hydro-Thermal Scheduling (SHTS) problem. Parallelization is a novel way of improving the convergence of the algorithm. In case of normal ABC algorithms accelerating operation or modification can be used for better convergence and diversity. But with large number of variables the non-linearity of the search space increases and these modifications are not sufficient to give enough diversity in the crowds of swarms for finding better solutions. However, parallelization of the algorithm increases the diversity in solutions and the search capability. The performance of the proposed algorithm is experimented on two short term multi reservoir cascaded hydrothermal systems. First test case is moderately large while the second test case is a considerably large one. Experimental results demonstrate the superior performance of the proposed algorithm as compared to other recently reported ones in terms of convergence and better quality of solutions.This paper proposes a novel parallelization of ABC Algorithm to solve Short-term Hydro-Thermal Scheduling (SHTS) problem. Parallelization is a novel way of improving the convergence of the algorithm. In case of normal ABC algorithms accelerating operation or modification can be used for better convergence and diversity. But with large number of variables the non-linearity of the search space increases and these modifications are not sufficient to give enough diversity in the crowds of swarms for finding better solutions. However, parallelization of the algorithm increases the diversity in solutions and the search capability. The performance of the proposed algorithm is experimented on two short term multi reservoir cascaded hydrothermal systems. First test case is moderately large while the second test case is a considerably large one. Experimental results demonstrate the superior performance of the proposed algorithm as compared to other recently reported ones in terms of convergence and better quality o...

[1]  Xiaohui Yuan,et al.  Short-term hydro-thermal scheduling using particle swarm optimization method , 2007 .

[2]  R. Chakrabarti,et al.  Short-term hydrothermal scheduling using clonal selection algorithm , 2011 .

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

[4]  Prakash Kumar Hota,et al.  Short-term hydrothermal scheduling through evolutionary programming technique , 1999 .

[5]  I. A. Farhat,et al.  Optimization methods applied for solving the short-term hydrothermal coordination problem , 2009 .

[6]  Malabika Basu,et al.  A simulated annealing-based goal-attainment method for economic emission load dispatch of fixed head hydrothermal power systems , 2005 .

[7]  S. Rebennack,et al.  Stochastic Hydro-Thermal Scheduling Under ${\rm CO}_{2}$ Emissions Constraints , 2012, IEEE Transactions on Power Systems.

[8]  Suman Sutradhar,et al.  Hydrothermal scheduling using Modified Flower Pollination Algorithm: A parallel approach , 2016, 2016 IEEE Region 10 Conference (TENCON).

[9]  T. G. Werner,et al.  An evolution strategy for short-term operation planning of hydrothermal power systems , 1999 .

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

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

[12]  Nidul Sinha,et al.  Modelling of Hydrothermal Unit Commitment Coordination Using Efficient Metaheuristic Algorithm: A Hybridized Approach , 2016 .

[13]  N. Sinha,et al.  MINLP for Hydro-Thermal Unit Commitment problem using BONMIN solver , 2016, 2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES).

[14]  R. J. Kaye,et al.  Evolutionary optimisation method for multistorage hydrothermal scheduling , 2002 .

[15]  Niladri Chakraborty,et al.  Particle swarm optimization technique based short-term hydrothermal scheduling , 2008, Appl. Soft Comput..

[16]  Malcolm Irving,et al.  A genetic algorithm modelling framework and solution technique for short term optimal hydrothermal scheduling , 1998 .

[17]  Malabika Basu,et al.  An interactive fuzzy satisfying method based on evolutionary programming technique for multiobjective short-term hydrothermal scheduling , 2004 .

[18]  N. Chakraborty,et al.  Differential evolution technique-based short-term economic generation scheduling of hydrothermal systems , 2008 .

[19]  S. M. Shahidehpour,et al.  Hydro-thermal, scheduling by tabu search and decomposition method , 1996 .

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

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

[22]  R. Chakrabarti,et al.  An improved PSO technique for short-term optimal hydrothermal scheduling , 2009 .