Open Access Open Access  Restricted Access Subscription or Fee Access

Nonconvex Economic Environmental Load Dispatch Using Fuzzy Based Squirrel Search Algorithm


(*) Corresponding author


Authors' affiliations


DOI: https://doi.org/10.15866/irecon.v8i2.18593

Abstract


Dangerous emanation of gases and nano particles from fossil fuels during power generation taints the air leading to long lasting destruction to the environment. To handle this issue, wider research works in various points of view are conducted to reduce the fuel cost in addition to the harmful gases emission. The aforementioned power generation problem is named as economic environmental load dispatch problem. In this study, a novel fuzzy based squirrel search algorithm is presented to solve the non-convex economic environmental load dispatch problem. The valve point loading effects formulate the problem as a non-convex optimization issue. Since, the two objective functions (cost and emissions) are contradictory practices; a fuzzy based concessive technique is utilized to designate the best concessive solution from the non-dominated solution set. In order to substantiate the competence of the suggested framework, the simulations are executed on different case studies and compared with recently published techniques. Simulation results divulge that the fuzzy based squirrel search algorithm performs better than the other compared techniques to efficiently solve the economic environmental load dispatch problem.
Copyright © 2020 Praise Worthy Prize - All rights reserved.

Keywords


Bi-Objective Problem; Economic Load Dispatch; Economic Environmental Load Dispatch Problem; Squirrel Search Algorithm

Full Text:

PDF


References


M.A. Abido, Multiobjective particle swarm optimization for environmental/economic dispatch problem, Electric Power System Research, Vol. 79, No.7, July 2009, pp.1105–13.
https://doi.org/10.1016/j.epsr.2009.02.005

J. P. Zhan, Q. H. Wu, C. X. Guo, X. X. Zhou, Fast lambda-iteration method for economic dispatch, IEEE Trans. Power Syst., Vol. 29, No. 2, March 2014, pp. 990–991.
https://doi.org/10.1109/tpwrs.2013.2287995

S-D. Chen, J-F. Chen, A direct Newton–raphson economic emission dispatch, International Journal of Electrical Power & Energy Syst., Vol. 25, No. 5, June 2003, pp. 411–417.
https://doi.org/10.1016/s0142-0615(02)00075-3

Bishe, H. M., Kian, A. R., Esfahani, M. S., A Primal-Dual Interior Point Method for Solving Environmental/Economic Power Dispatch Problem, (2011) International Review of Electrical Engineering (IREE), 6 (3), pp. 1463-1473.

Jabri, M., Helmi, A., Neural Network Based on Artificial Intelligence Solution for a Fast Economic Load Dispatch Using the Hybrid Lagrangian Method, (2019) International Journal on Energy Conversion (IRECON), 7 (5), pp. 181-187.
https://doi.org/10.15866/irecon.v7i5.17794

Abu Siam, M., Mohamed, O., Al-Nazer, H., Comparative Study between Genetic Algorithms and Iterative Optimization for Economic Dispatch of Practical Power System, (2018) International Review of Electrical Engineering (IREE), 13 (2), pp. 128-136.
https://doi.org/10.15866/iree.v13i2.13870

M. Basu, A simulated annealing-based goal-attainment method for economic emission load dispatch of fixed head hydrothermal power systems, Int J Electr Power Energy Syst., Vol. 27, 2005, pp. 147–53.
https://doi.org/10.1016/s0140-6701(05)82213-1

A. A. Abou El Ela, M. A. Abido, Spea SR. Differential evolution algorithm for emission constrained economic power dispatch problem, Electr Power Syst Res, Vol. 80, No. 10, Oct. 2010, pp. 1286–92.
https://doi.org/10.1016/j.epsr.2010.04.011

T. Ratniyomchai, A. Oonsivilai, P. Pao-La-Or, T. Kulworawanichpong, Particle swarm optimization for solving combined economic and emission dispatch problems, Athens: World Scientific and Engineering Acad and Soc, Feb.2010.

https://www.researchgate.net/publication/234824727

I. Karakonstantis , A. Vlachos, Ant colony optimization for continuous domains applied to emission and economic dispatch problems, Journal of Information and Optimization Sciences, Vol. 36, No. 1-2, Aprl. 2015, pp. 23–42.
https://doi.org/10.1080/02522667.2014.932094

P. K. Hota, A. K. Barisal, R. Chakrabarti, Economic emission load dispatch through fuzzy based bacterial foraging algorithm, Int J Electr Power Energy Syst., Vol. 32, No. 7, Sep. 2010, pp. 794–803.
https://doi.org/10.1016/j.ijepes.2010.01.016

S. Sivasubramani, K. Swarup, Environmental/economic dispatch using multiobjective harmony search algorithm, Electr Power Syst Res, Vol. 81, No. 9, Sep. 2011, pp. 1778–85.
https://doi.org/10.1016/j.epsr.2011.04.007

D. Aydin, S. Ozyon, C. Yasar, T. J. Liao, Artificial bee colony algorithm with dynamic population size to combined economic and emission dispatch problem, Int J Electr Power Energy Syst., Vol. 54, Jan. 2014, pp. 144–53.
https://doi.org/10.1016/j.ijepes.2013.06.020

D. Maity, S. Banerjee, C. K. Chanda, Bare bones teaching learning-based optimization technique for economic emission load dispatch problem considering transmission losses, Iranian Journal of Science and Technology, Vol. 43, 2019, pp. 77–90.
https://doi.org/10.1007/s40998-018-0158-1

Chandrasekaran, K., Simon, S. P., Firefly algorithm for reliable/emission/economic dispatch multi objective problem, (2012) International Review of Electrical Engineering (IREE), 7 (1), pp. 3414-3425.

A. Bhattacharya, P.K Chattopadhyay, Application of Biogeography-based Optimization for Solving Multi-objective Economic Emission Load Dispatch Problems, Electr Power Compon Syst., Vol. 38, No. 3, Jan 2010, pp. 340–65.
https://doi.org/10.1080/15325000903273296

K. Chandrasekaran, S.P. Simon, N. P. Padhy Cuckoo search algorithm for emission reliable economic multi-objective dispatch problem. IETE J Res, Vol. 60, No. 2, Jun. 2014, pp.128–38.
https://doi.org/10.1080/03772063.2014.901592

U. Güvenç, Y. Sönmez, S. Duman, N. Yörükeren, Combined economic and emission dispatch solution using gravitational search algorithm. Scientia Iranica, Vol. 19, No. 6, Dec. 2012, pp.1754–62.
https://doi.org/10.1016/j.scient.2012.02.030

B. Ramesh, V. Chandra Jagan Mohan, V. C. Veera Reddy, Application of bat algorithm for combined economic load and emission dispatch, J Electr Eng, Vol. 13, 2013, pp. 214–9.

Rizk-Allah, R., Abdel Mageed, H., El-Sehiemy, R., Abdel Aleem, S., El Shahat, A., A New Sine Cosine Optimization Algorithm for Solving Combined Non-Convex Economic and Emission Power Dispatch Problems, (2017) International Journal on Energy Conversion (IRECON), 5 (6), pp. 180-192.
https://doi.org/10.15866/irecon.v5i6.14291

Kuntal Bhattacharjee , Aniruddha Bhattacharya , Sunita Halder nee Dey, Backtracking search optimization based economic environmental power dispatch problems Electrical Power and Energy Syst., Vol. 73, Dec. 2015, pp. 830–842.
https://doi.org/10.1016/j.ijepes.2015.06.018

Mostafa Kheshti , Xiaoning Kang, Jiangtao Li, Pawel Regulski, Vladimir Terzija, Lightning flash algorithm for solving nonconvex combined emission economic dispatch with generator constraints Transm. Distrib, IET Gener. Vol. 12, No.1, 2018, pp. 104-116.
https://doi.org/10.1049/iet-gtd.2017.0257

Kuntal Bhattacharjee , Aniruddha Bhattacharya , Sunita Halder nee Dey, Solution of Economic Emission Load Dispatch problems of power systems by Real Coded Chemical Reaction algorithm Electrical Power and Energy Systems, Vol. 59, July 2014, pp. 176–187.
https://doi.org/10.1016/j.ijepes.2014.02.006

T.F. Robert, A.H. King, C.S. Harry, K. Rughooputh, K. Deb, Evolutionary multiobjective environmental /economic dispatch: stochastic versus deterministic approaches, KanGAL, Rep. 2004019, 2004, pp. 1–15.
https://www.iitk.ac.in/kangal/papers/k2004019.pdf

M.A. Abido, Multiobjective evolutionary algorithms for power dispatch problem, IEEE Trans. Evol. omput. Vol. 10, No. 3, June 2006, pp. 315–329.
https://doi.org/10.1109/tevc.2005.857073

M. Basu, Economic environmental dispatch using multi-objective differential evolution, Int. J. Appl. Soft Comput, Vol. 11, No. 2, March 2011, pp. 2845–2853.
https://doi.org/10.1016/j.asoc.2010.11.014

P.K. Roy, S. Bhui, Multi-objective quasi-oppositional teaching learning based optimization for economic emission load dispatch problem, Int J Electr Power Energy Syst., Vol. 53, Dec. 2013, pp.937–948.
https://doi.org/10.1016/j.ijepes.2013.06.015

R. Zhang, J. Zhou, L. Mo, S. Ouyang, Economic environmental dispatch using an enhanced multi-objective cultural algorithm, Electr. Power Syst. Res. Vol. 99, June 2013, pp. 18–29.
https://doi.org/10.1016/j.epsr.2013.01.010

E. D. Manteaw, N. A. Odero, Combined economic and emission dispatch solution using ABC_PSO hybrid algorithm with valve point loading effect, Int. J. Sci. Res Publ, Vol. 2, No. 12, Dec. 2012, pp. 1–9.
http://www.ijsrp.org/research-paper-1212/ijsrp-p1299.pdf

C. R. Edwin Selva Rex, M. Marsaline Beno, J. Annrose, A Solution for Combined Economic and Emission Dispatch Problem using Hybrid Optimization Techniques, Journal of Electrical Engineering & Technology, Sep. 2019.
https://doi.org/10.1007/s42835-019-00192-z

Mohit Jain, Vijander Singh, Asha Rani, A novel nature-inspired algorithm for optimization: Squirrel search algorithm, Swarm and Evolutionary Computation, Vol. 44, No. 2, 2019, pp. 148-175.
https://doi.org/10.1016/j.swevo.2018.02.013

Abdel-Warth, M., Abdel-Akher, M., Aly, M., Eid, A., Quasi-Static Time-Series Analysis of Congested Transmission Networks with Intermittent Wind Power Penetration, (2017) International Review of Electrical Engineering (IREE), 12 (3), pp. 237-249.
https://doi.org/10.15866/iree.v12i3.11644

Boukef, H., Benrejeb, M., Borne, P., Genetic Algorithm and Based Particle Swarm Optimization Comparison for Solving a Flow-Shop Multiobjective Scheduling Problem in Pharmaceutical Industries, (2018) International Journal on Engineering Applications (IREA), 6 (6), pp. 221-226.
https://doi.org/10.15866/irea.v6i6.17000

Jhajj, H., Garg, R., Saluja, N., Efficient Spectrum Sensing in Cognitive Radio Networks Using Hybridized Particle Swarm Intelligence and Ant Colony Algorithm, (2017) International Journal on Communications Antenna and Propagation (IRECAP), 7 (7), pp. 586-593.
https://doi.org/10.15866/irecap.v7i7.12434

Gunantara, N., Sudiarta, P., Antara, I., Multi-Criteria Weights on Ad Hoc Networks Using Particle Swarm Optimization for Optimal Path Pairs, (2018) International Review of Electrical Engineering (IREE), 13 (1), pp. 15-22.
https://doi.org/10.15866/iree.v13i1.14082

Moloi, K., Jordaan, J., Hamam, Y., The Development of a High Impedance Fault Diagnostic Scheme on Power Distribution Network, (2020) International Review of Electrical Engineering (IREE), 15 (1), pp. 69-79.
https://doi.org/10.15866/iree.v15i1.17074

Tekkouk, A., Fizazi, H., Classification of Clouds by the Eagle Strategy, (2019) International Review of Aerospace Engineering (IREASE), 12 (3), pp. 123-130.
https://doi.org/10.15866/irease.v12i3.14647


Refbacks

  • There are currently no refbacks.


Please send any question about this web site to info@praiseworthyprize.com
Copyright © 2005-2024 Praise Worthy Prize