Modelling of Hydrothermal Unit Commitment Coordination Using Efficient Metaheuristic Algorithm: A Hybridized Approach

In this paper, a novel approach of hybridization of two efficient metaheuristic algorithms is proposed for energy system analysis and modelling based on a hydro and thermal based power system in both single and multiobjective environment. The scheduling of hydro and thermal power is modelled descriptively including the handling method of various practical nonlinear constraints. The main goal for the proposed modelling is to minimize the total production cost (which is highly nonlinear and nonconvex problem) and emission while satisfying involved hydro and thermal unit commitment limitations. The cascaded hydro reservoirs of hydro subsystem and intertemporal constraints regarding thermal units along with nonlinear nonconvex, mixed-integer mixed-binary objective function make the search space highly complex. To solve such a complicated system, a hybridization of Gray Wolf Optimization and Artificial Bee Colony algorithm, that is, h-ABC/GWO, is used for better exploration and exploitation in the multidimensional search space. Two different test systems are used for modelling and analysis. 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.

[1]  S. Sutradhar,et al.  Grey wolf optimizer for short term hydrothermal scheduling problems , 2015 .

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

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

[4]  Steffen Rebennack,et al.  Combining sampling-based and scenario-based nested Benders decomposition methods: application to stochastic dual dynamic programming , 2015, Mathematical Programming.

[5]  Steffen Rebennack,et al.  Generation expansion planning under uncertainty with emissions quotas , 2014 .

[6]  M. V. Rakic,et al.  Hydraulically coupled power‐plants commitment within short‐term operation planning in mixed hydro‐thermal power systems , 2007 .

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

[8]  Nima Amjady,et al.  Hydrothermal unit commitment with AC constraints by a new solution method based on benders decomposition , 2013 .

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

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

[11]  D. P. Kothari,et al.  Scheduling short-term hydrothermal generation using predator prey optimization technique , 2014, Appl. Soft Comput..

[12]  Malabika Basu,et al.  Improved differential evolution for short-term hydrothermal scheduling , 2014 .

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

[14]  Mohammad Norouzi,et al.  Short-term environmental/economic hydrothermal scheduling , 2014 .

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

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

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

[18]  Steffen Rebennack,et al.  Dynamic convexification within nested Benders decomposition using Lagrangian relaxation: An application to the strategic bidding problem , 2017, Eur. J. Oper. Res..

[19]  M.E.P. Maceira,et al.  A Four-Dimensional Model of Hydro Generation for the Short-Term Hydrothermal Dispatch Problem Considering Head and Spillage Effects , 2008, IEEE Transactions on Power Systems.

[20]  Dervis Karaboga,et al.  A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm , 2007, J. Glob. Optim..

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

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

[23]  Jamshid Aghaei,et al.  Mixed integer programming of generalized hydro-thermal self-scheduling of generating units , 2013 .

[24]  M. Rashidinejad,et al.  An implementation of harmony search algorithm to unit commitment problem , 2010 .

[25]  Andrew Lewis,et al.  Grey Wolf Optimizer , 2014, Adv. Eng. Softw..

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

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

[28]  P. K. Chattopadhyay,et al.  Fast evolutionary programming techniques for short-term hydrothermal scheduling , 2003 .

[29]  Joao P. S. Catalao,et al.  Nonlinear optimization method for short‐term hydro scheduling considering head‐dependency , 2008 .

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

[31]  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).

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

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

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

[35]  Jianzhong Zhou,et al.  Short term hydrothermal scheduling using multi-objective differential evolution with three chaotic sequences , 2013 .

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

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

[38]  Joao P. S. Catalao,et al.  Short‐term scheduling of thermal units: emission constraints and trade‐off curves , 2008 .