Hybridization of two metaheuristics for solving the combined economic and emission dispatch problem

The development of computers and control software has contributed to the innovation of electrical networks. This development is necessarily linked to several concerns: energy, economic, environmental, etc. The introduction of the techniques of artificial intelligence software in the control and decision is essential in research and in the development of tomorrow’s networks. This paper deals with multi-criteria optimization metaheuristics. These criteria are moving toward the economic/environmental dispatch that addresses the impact of the cost of production and the emission of toxic gases such as competing objectives. This requires some form of conflict resolution to reach a solution. That is why we need effective optimization algorithms. The firefly algorithm and bat algorithm are two recent metaheuristics inspired by nature. Both methods have been studied and adapted to solve our multi-objective optimization problem within the constraints. At the end of this work, the hybridization of the firefly algorithm and bat algorithm was proposed. The purpose of this hybridization is to combine the advantages of both methods and thus improve their performance. The effectiveness of this new method was demonstrated by applying it on different network tests of 6, 10, and 20 generators; testing with several power demands in accordance with constraints; and considering the variability of active transmission losses.

[1]  Gholamreza Shafipour,et al.  A hybrid method of LMDI, symmetrical components, and SFA to estimate the distribution of energy-saving potential with consideration of unbalanced components in decomposition analysis , 2017 .

[2]  Amir Hossein Gandomi,et al.  Bat algorithm for constrained optimization tasks , 2012, Neural Computing and Applications.

[3]  Xin-She Yang,et al.  Engineering Optimization: An Introduction with Metaheuristic Applications , 2010 .

[4]  Attia A. El-Fergany,et al.  Water cycle algorithm-based economic dispatcher for sequential and simultaneous objectives including practical constraints , 2017, Appl. Soft Comput..

[5]  Alicia Y. C. Tang,et al.  Bat algorithm for rough set attribute reduction , 2013 .

[6]  Malabika Basu,et al.  Dynamic economic emission dispatch using nondominated sorting genetic algorithm-II , 2008 .

[7]  Saeid Esmaeili,et al.  Multiobjective daily Volt/VAr control in distribution systems with distributed generation using binary ant colony optimization , 2013, Turkish Journal of Electrical Engineering and Computer Sciences.

[8]  Mimoun Younes,et al.  Multi-objective economic emission dispatch solution using hybrid FFA (firefly algorithm) and considering wind power penetration , 2014 .

[9]  Tarek Bouktir,et al.  Economic power dispatch of power systems with pollution control using artificial bee colony optimization , 2013 .

[10]  Aliasghar Baziar,et al.  A Novel Self Adaptive Modification Approach Based on Bat Algorithm for Optimal Management of Renewable MG , 2013 .

[11]  Gagandeep Kaur,et al.  A novel hybrid metaheuristic algorithm for model order reduction in the delta domain: a unified approach , 2019, Neural Computing and Applications.

[12]  Christian Blum,et al.  Hybrid Metaheuristics , 2010, Artificial Intelligence: Foundations, Theory, and Algorithms.

[13]  Pauline Ong,et al.  Modeling and optimization of cold extrusion process by using response surface methodology and metaheuristic approaches , 2018, Neural Computing and Applications.

[14]  Ebrahim Farjah,et al.  An efficient scenario-based and fuzzy self-adaptive learning particle swarm optimization approach for dynamic economic emission dispatch considering load and wind power uncertainties , 2013 .

[15]  Ankit Chaudhary,et al.  A metaheuristic method to hide MP3 sound in JPEG image , 2016, Neural Computing and Applications.

[16]  Zhicheng Ji,et al.  A novel hybrid particle swarm optimization and gravitational search algorithm for solving economic emission load dispatch problems with various practical constraints , 2014 .

[17]  George W. Irwin,et al.  A hybrid harmony search with arithmetic crossover operation for economic dispatch , 2014 .

[18]  Nasrudin Abd Rahim,et al.  Modified particle swarm optimization for economic-emission load dispatch of power system operation , 2015 .

[19]  Naveed Arshad,et al.  Integrating renewables economic dispatch with demand side management in micro-grids: a genetic algorithm-based approach , 2014 .

[20]  Pandian Vasant,et al.  Quantum-behaved bat algorithm for many-objective combined economic emission dispatch problem using cubic criterion function , 2019, Neural Computing and Applications.

[21]  T. Sree Renga Raja,et al.  PSO based optimal location and sizing of SVC for novel multiobjective voltage stability analysis during N - 2 line contingency , 2014 .

[22]  Amin Gholami,et al.  Environmental/economic dispatch incorporating renewable energy sources and plug-in vehicles , 2014 .

[23]  Fred W. Glover,et al.  Future paths for integer programming and links to artificial intelligence , 1986, Comput. Oper. Res..

[24]  Xin-She Yang,et al.  Nature-Inspired Metaheuristic Algorithms , 2008 .

[25]  Amir Hossein Gandomi,et al.  Firefly Algorithm for solving non-convex economic dispatch problems with valve loading effect , 2012, Appl. Soft Comput..

[26]  Leandro dos Santos Coelho,et al.  Solving economic load dispatch problems in power systems using chaotic and Gaussian particle swarm optimization approaches , 2008 .

[27]  Mousumi Basu,et al.  Economic environmental dispatch using multi-objective differential evolution , 2011, Appl. Soft Comput..

[28]  Heinz Mühlenbein,et al.  Parallel Genetic Algorithms, Population Genetics, and Combinatorial Optimization , 1989, Parallelism, Learning, Evolution.

[29]  John J. Grefenstette,et al.  Optimization of Control Parameters for Genetic Algorithms , 1986, IEEE Transactions on Systems, Man, and Cybernetics.

[30]  El-Ghazali Talbi,et al.  Metaheuristics - From Design to Implementation , 2009 .

[31]  Chandrasekaran Koodalsamy,et al.  Fuzzified artificial bee colony algorithm for nonsmooth and nonconvex multiobjective economic dispatch problem , 2013 .