Details
Title
Economic dispatch in power system networks including renewable energy resources using various optimization techniquesJournal title
Archives of Electrical EngineeringYearbook
2021Volume
vol. 70Issue
No 3Affiliation
Hafiz, Abrar Mohamed : Electrical Power and Machines Department, Faculty of Engineering, Ain Shams University, Egypt ; Abdelrahman, M. Ezzat : Electrical Power and Machines Department, Faculty of Engineering, Ain Shams University, Egypt ; Temraz, Hesham : Electrical Power and Machines Department, Faculty of Engineering, Ain Shams University, EgyptAuthors
Keywords
Economic Dispatch (ED) ; particle swarm optimization (PSO) ; Sine-Cosine Algorithm (SCA) ; photovoltaic (PV)Divisions of PAS
Nauki TechniczneCoverage
643-655Publisher
Polish Academy of SciencesBibliography
[1] Zee-Lee Gaing, Particle swarm optimization to solving the economic dispatch considering the generator limits, IEEE Trans. Power Syst., vol. 18, pp. 1187–1195 (2003).[2] Nidul Sinha, Chakrabarti R., Chattopadhyay P.K., Evolutionary programming techniques for economic load dispatch, IEEE Transactions on Evolutionary Computation, vol. 7, iss. 1, pp. 83–94 (2003).
[3] Jeyakumar D., Jayabarathi T., Raghunathan T., Particle swarm optimization for various types of economic dispatch problems, International Journal of Electrical Power Energy System, vol. 36, pp. 42–28 (2006).
[4] Leandro dos Santos Coelho, Chu-Sheng Lee, Solving economic load dispatch problems in power system using chaotic and Gaussian particle swarm optimization approaches, Elsevier, International Journal of Electrical Power and Energy Systems (IJEPES), vol. 30, iss. 5, pp. 297–307 (2008).
[5] Vishnu Prasad, Amita Mahor, Saroj Rangnekar, Economic dispatch using particle swarm optimization: A review, Renewable and Sustainable Energy Reviews, vol. 13, pp. 2134–2141 (2009).
[6] Kumar C., Alwarsamy T., Dynamic Economic Dispatch – A Review of Solution Methodologies, European Journal of Scientific Research, ISSN 1450-216X, vol. 64, no. 4, pp. 517–537 (2011).
[7] Deep K., Bansal J.C., Solving Economic Dispatch Problems with Valve-point Effects using Particle Swarm Optimization, J. UCS, vol. 18, no. 13, pp. 1842–1852 (2012).
[8] Timothy Ganesan, Pandian Vasant, Irraivan Elamvazuthy, A hybrid PSO approach for solving nonconvex optimization problems, Archives of Control Sciences, vol. 22 (LVIII) (2012).
[9] Jie Meng, Geng-yin Li, Shi-jun Cheng, Economic Dispatch for Power Generation System Incorporating Wind and Photovoltaic Power, Applied Mechanics and Materials, vol. 441, pp. 263–267 (2014).
[10] Kumar C., Anbarasan A., Karpagam M., Alwarsamy T., Artificial Intelligent Techniques in Economic Power Dispatch Problems, International Journal of Applied Engineering Research, ISSN 0973-4562, vol. 10, no. 9, pp. 23243–23254 (2015).
[11] Zeinab G. Hassan, Ezzat M., Almoataz Y. Abdelaziz, Solving Unit Commitment and Economic Load Dispatch Problems Using Modern Optimization Algorithms, International Journal of Engineering, Science and Technology, vol. 9, no. 4, pp. 10–19 (2017).
[12] Quande Q., Cheng S., Xianghua C., Solving non-convex/non-smooth economic load dispatch problems via an enhanced particle swarm optimization, Applied Soft Computing, vol. 59, no. 1, pp. 229–242 (2017).
[13] Sanjoy R., The maximum likelihood optima for an economic load dispatch in presence of demand and generation variability, Energy, vol. 147, pp. 915–923 (2018).
[14] Jagat Kishore Pattanaik, Mousumi Basu, Deba Prasad Dash, Dynamic economic dispatch: a comparative study for differential evolution, particle swarm optimization, evolutionary programming, genetic algorithm, and simulated annealing, Pattanaik et al., Journal of Electrical Systems and Information Technology (2019).
[15] Bishwajit Dey, Shyamal Krishna Roy, Biplab Bhattacharyya, Solving multi-objective economic emission dispatch of a renewable integrated microgrid using latest bio-inspired algorithms, Engineering Science and Technology, International Journal 22, pp. 55–66 (2019).
[16] Aissa Benchabira, Mounir Khiat, A hybrid method for the optimal reactive power dispatch and the control of voltages in an electrical energy network, Archives of Electrical Engineering, vol. 68, no. 3, pp. 535–551 (2019).
[17] Patel N., Bhattacharjee K., A comparative study of economic load dispatch using sine cosine algorithm, Scientia Iranica International Journal of Science and Technology, vol. 27, no. 3, pp. 1467–1480 (2020).
[18] Tankut Yalcinoz, Halis Altun, Murat Uzam, Economic dispatch solution using a genetic algorithm based on arithmetic crossover, IEEE Porto Power Tech Proceedings (2001).
[19] Anurag Gupta, Himanshu Anand, Analysis of scheduling of solar sharing for economic/environmental dispatch using PSO, INDICON IEEE (2015).
[20] Hafez A.I., Zawbaa H.M., Emary E., Hassanien A.E., Sine cosine optimization algorithm for feature selection, International Symposium on INnovations in Intelligent SysTems and Applications (INISTA) (2016).
[21] Ajay Wadhawan, Preeti Verma, Sonia Grover, Himanshu Anand, Economic Environmental Dispatch with PV Generation Including Transmission Losses using PSO, IEEE Power India International Conference (PIICON) (2016).
[22] Suid M.H., Ahmad M.A., Ismail M.R.T.R., Ghazali M.R., Irawan A., Tumari M.Z., An Improved Sine Cosine Algorithm for Solving Optimization Problems, IEEE Conference on Systems, Process and Control (ICSPC) (2018).
[23] Jiajun Liu, Bo Song,Ye Li, An Optimum Dispatching for Photovoltaic-thermal Mutual-Complementing Power Plant Based on the Improved Particle Swarm Knowledge Algorithm, IEEE Conference on Industrial Electronics and Applications (ICIEA) (2018).
[24] Kennedy J., Particle swarm optimization, Encyclopedia in Machine Learning, pp. 760–766 (2010).