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Economic Load Dispatch of Renewable Energy Integrated System Using Jaya Algorithm | ||
| Journal of Operation and Automation in Power Engineering | ||
| دوره 10، شماره 1، تیر 2022، صفحه 1-12 اصل مقاله (593.63 K) | ||
| نوع مقاله: Research paper | ||
| شناسه دیجیتال (DOI): 10.22098/joape.2022.7562.1538 | ||
| نویسندگان | ||
| A. Potfode؛ S. Bhongade* | ||
| Department of Electrical Engineering, Shri G S Institute of Technology & Science, Indore-03 M.P. India | ||
| چکیده | ||
| With day by day increase in electrical energy demand and uneven distribution of sources in nature, there is a need of Integration of power plants. This integration needs a proper scheduling of all connected generating units in accordance with the variation in load demand. An optimum sharing of load is necessary to minimize the generation cost. Emission is also an important issue in a generation. An attempt is also made in this paper to analyze emission dispatch with the Economic Dispatch optimization. Environmental effects tend to involve renewable sources based power generation. Wind and Solar are most popular and highly abundant among all renewable sources. But, the fluctuations of these sources complicate the load dispatch optimization. Also, the conventional thermal generators itself affected by certain constraints and non linearity such as valve-point loading effect. A proper planning should involve consideration of all this issue, which requires advance soft computing technique. Previous approaches need proper tuning of their specific parameters, to remove this ambiguity, a new Jaya Algorithm technique is introduced in this paper. | ||
| کلیدواژه‌ها | ||
| Constrained optimization؛ Economic Dispatch؛ Non-smooth Optimization | ||
| مراجع | ||
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[1] A. Omer, S. Ghosh and R. Kaushik, “Indian power system: issues and opportunities”, Int. J. Advanc. Res. Electr., Electr. Instrument. Eng., vol. 2, pp. 232-42, 2013. [2] A. Wood and B. Wollenberg, “Power generation, operation and control. 2nd Edition, Wiley, 2007. [3] Decker and Brooks,“Valve point loading of turbines”, Electr. Eng., vol. 77, pp. 481-84, 1958. [4] S. Oreo and M. Irving “Economic dispatch of generators with prohibited operating zones: a generic algorithm approach”, IET Proc. Gener. Transm. Distrib, vol. 143, pp. 529-534, 1996. [5] E. Elanchezhian, S. Subramanian and S. Ganesan, “Economic power dispatch with cubic cost models using teaching learning algorithm”, IET Gener. Transm. Distrib., vol. 8, pp. 1187-202, 2013. [6] www.epa.gov/cleanairactreview, 1990 clean air act amendment. [7] H. Jadhav et al., “An enlist artificial bee colony algorithm for combined economic emission dispatch incorporating wind power”, Int. Conf. Comp. Comm. Tech., 2011. [8] A. Robson, “Environmental impact of renewable energy resources”, IET conf. Environ. Impact Renew. Energy Res., 1889. [9] M. Deshmukh and S. Deshmukh, “Modelling of hybrid renewable energy systems”, Elsevier Renew. Sustain. Energy Rev., vol. 12, pp. 235-49, 2006. [10] M. Kuo, S. Lu and M. Tsou, “Economic dispatch planning based on considerations of wind power and pumped storage hydroelectric plants for isolated power system”, IEEE conf. Ind. Commer. Power Syst., 2015. [11] K. Jagtap, G. Patil, and S. Kulkarni, “Techno-economic modelling of wind-solar PV-Biomass hybrid energy system”, IEEE Int. Conf. Power Electr. Energy Syst., 2017. [12] J. Hetzer, D. Yu and K. Bhattarai, “An economic dispatch model incorporating wind power”, IEEE Trans. Energy Conv., vol. 23, pp. 603-11, 2008. [13] H. Chen et al., “Economic dispatch of wind integrated power systems with energy storage considering composite operating cost”, IET Gener. Transm. Distrib., vol. 10, pp. 1294-1303, 2016. [14] S. Li, E. Wunsch and M. Giesselmann, “Using neural networks to estimate wind turbine power generation”, IEEE Trans. Energy Conv., vol. 16, pp. 276-82, 2001. [15] A. Selvakumar and K. Thanushkodi, “A new particle swarm optimization solution to nonconvex economic dispatch problems”, IEEE J. Innov. Energy Syst. Power, vol. 1, pp. 1-7, 2006. [16] J. Park et al., “An improved particle swarm optimization for economic dispatch with valve-point effect”, IEEE Trans. Power Syst., vol. 20, pp. 1-7, 2005. [17] C. Lin, “Hierarchical economic dispatch for piecewise quadratic cost function”, IEEE Trans. Power Appl. Syst., vol. 103, pp. 1170-75, 1984. [18] Y. Park, J. Won and J. Park, “A new approach to economic load dispatch based on improved evolutionary programming”, Eng. Intell. Syst. Elect. Eng. Commun., vol. 6, pp. 103-10,1998. [19] W. Xian, L. Yu-Zeng and Z. Shao-Hua, “A new neural network approach to economic emission load dispatch”, Proc. Int. Conf. Machine Learning Cyber., 2002. [20] S. Hemamalini, and S. Simon, “Economic/emission load dispatch using artificial bee colony algorithm”, Int. Conf. Control Comm. Power Eng., pp. 338-43, 2010. [21] S. Bhongade and S. Agarwal, “An optimal solution for combined economic and emission dispatch problem using artificial bee colony algorithm”, IEEE conf. Power Energy Syst. Sustain. Energy, pp. 1-7, 2016. [22] R. Rao, D. Rai and J. Balic, “A multi-objective algorithm for optimization of modern machining processes”, Elsevier Eng. Appl. Artificial Intell.., vol. 61, pp. 103-125, 2017. [23] R. Rao, V. Savsani and D. Vakharia, “Teaching-learning-based optimization: a novel method for constrained mechanical design optimization problems”, Elsevier. J. Comput. Aided Design, vol. 43, 2011 [24] E. Babaei and N. Ghorbani, “Combined economic dispatch and reliability in power system by using PSO-SIF algorithm”, J. Oper. Autom. Power Eng., vol. 3, pp. 23-33, 2015. [25] H. Khorramdel et al., “A multi-objective economic load dispatch considering accessibility of wind power with here-and-now approach”, J. Oper. Autom. Power Eng., vol. 2, pp. 49-59, 2014. [26] S. Kaboli and A. Alqallaf, “Solving nonconvex economic load dispatch problem via artificial cooperative search algorithm”, Expert Syst. Appl., vol. 128, pp. 14-27, 2019. [27] L. Ping, J. Sun and Q. Chen, “Solving power economic dispatch problem with a novel quantum-behaved particle swarm optimization algorithm”, Math. Problems Eng., 2020. [28] M. El-Shorbagy and A. Mousa, “Constrained multiobjective equilibrium optimizer algorithm for solving combined economic emission dispatch problem”, Complexity, 2021. [29] M. Mellal and E. Williams, “Cuckoo optimization algorithm with penalty function and binary approach for combined heat and power economic dispatch problem”, Energy Reports, vol. 6, pp. 2720-23, 2020. [30] A. Nezhad, F. Ghanavati and A. Ahmarinejad, “Determining the optimal operating point of CHP Units with nonconvex characteristics in the context of combined heat and power scheduling problem”, IETE J. Res., 2020. [31] R. Rao, “Jaya: A simple and new optimization algorithm for solving constrained and unconstrained optimization problems”, Int. J. Ind. Eng. Comput., vol. 7, pp. 19-34, 2016. [32] E. Elanchezhian, S. Subramanian and S. Ganesan, “Economic power dispatch with cubic cost models using teaching learning algorithm”, IET Gener. Transm. Distrib., vol. 8, pp. 1187-1202, 2013. [33] M. Basu, “Economic environmental dispatch using multi-objective differential evolution”, Appl. Soft Comput., vol. 11, pp. 2843-53, 2011. [34] I. Farhat and M. Hawary, “Dynamic adaptive bacterial foraging algorithm for optimum economic dispatch with valve-point effects and wind power”, IET Gener. Transm. Distrib., vol. 4, pp. 989-99, 2010 [35] H. Dubey, M. Pandit and B. Panigrahi, “Hybrid flower pollination algorithm with time-varying fuzzy selection mechanism for wind integrated multi-objective dynamic economic dispatch”, Elsevier Conf. Renew. Energy, vol. 83, pp. 188-202, 2015. [36] B. Brown, R. Katz and A. Murphy, “Time series models to simulate and forecast wind speed and wind power”, J. Clim. Appl. Meterol., vol. 23, pp. 1184-95, 1994. [37] J. Hetzer, D. Yu and K. Bhattarai, “An economic dispatch model incorporating wind power”, IEEE Trans. Energy Conv., vol. 23, pp. 603-11, 2008. [38] H. Chen et al, “Economic dispatch of wind integrated power systems with energy storage considering composite operating cost”, IET Gener. Transm. Distrib., vol. 10, pp. 1294-1303, 2016. [39] Solar Radiation Hand Book, “A joint project of solar energy centre, mnre indian metrological department, 2008. [40] N. Tyagi, H. Dubey and M. Pandit, “Economic load dispatch of wind-solar thermal system using backtracking search algorithm”, Int. J. Eng., Sci. Tech., vol. 8, 2016. [41] Z. L. Gaing, “Particle swarm optimization to solving the economic dispatch considering the generator constraints”, IEEE Trans. Power Syst., vol. 18, pp. 1187-95, 2003. [42] G. Suganua, K Balamurgan and K. Dharmalingam, “Multi-objective evolutionary technique for economic/emission load dispatch”, IEEE Int. Conf. Advanc. Eng. Sci., 2012. [43] S. Sivasubramani and K. Swarup, “Environmental economic dispatch using multi-objective harmony search algorithm”, Int. J. Electr. Power Energy Syst., vol. 81, pp. 1778-85, 2011. [44] N. Sinha, R. Chakrabarti and P. Chattopadhyay, “Evolutionary programming techniques for economic load dispatch”, IEEE Trans. Evol. Comput., vol. 7, 2003. [45] N. Noman and H. Iba, “Differential evolution for economic load dispatch problems”, Electr. Power Syst. Res., vol. 78, pp. 1322-31, 2008. [46] P. Roy, S. Bhui and C. Paul, “Solution of economic load dispatch using hybrid chemical reaction optimization approach”, Appl. Soft Comput., vol. 24, pp. 109-25, 2014. [47] K. Chandram, N. Subrahmanyam and M. Sydulu, “Equal embedded algorithm for economic load dispatch problem with transmission losses”, Elsevier Conf. Electr. Power Energy Syst., vol. 33, pp. 500-07, 2011. | ||
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