Open Access Open Access  Restricted Access Subscription or Fee Access

Designed Operating Approach of Economic Dispatch for Java Bali Power Grid Areas Considered Wind Energy and Pollutant Emission Optimized Using Thunderstorm Algorithm Based on Forward Cloud Charge Mechanism


(*) Corresponding author


Authors' affiliations


DOI: https://doi.org/10.15866/iree.v13i1.14687

Abstract


Due to ecological and economic benefits, variable energy sources are considered as a key factor in the world-wide energy security. The main operational problems associated with these sources are their variability and intermittency. Therefore, the inclusion in the fleet of the energy mix as the standard conventional generators is difficult. The wind energy is among the most dominant renewable source. Furthermore, this paper focuses on the inclusion of the wind energy impact on the Economic Dispatch (ED) optimization problem. The ED problem also considers the minimization of pollutant emissions from fossil-based sources. The Thunderstorm Algorithm (TA) is presented in this paper as a new intelligent computation technique for optimizing the Integrated Wind Energy and Pollutant Emissions into the Economic Dispatch (IWEPEED) problem. The algorithm is tested on the modified IEEE 62-bus system with wind energy integrated into the system as an area developing model of Java Bali Power Grid development. The results show the potential and success of the TA for solving the IWEPEED optimization problem with a short computational time and a fast convergence.
Copyright © 2018 Praise Worthy Prize - All rights reserved.

Keywords


Economic Dispatch; Emission Dispatch; Thunderstorm Algorithm; Wind Energy Penetration

Full Text:

PDF


References


Y. Di, M. Fei, L. Wang, and W. Wu, Multi-objective Optimization for Economic Emission Dispatch Using an Improved Multi-objective Binary Differential Evolution Algorithm, Energy Procedia, vol. 61, no. Supplement C, pp. 2016–2021, Jan. 2014.
http://dx.doi.org/10.1016/j.egypro.2014.12.065

N. Visali, M. S. Reddy, and M. S. K. Reddy, Economic load dispatch of thermal power plants using evolution technique including transmission losses, in 2014 International Conference on Advances in Electrical Engineering (ICAEE), 2014, pp. 1–5.
http://dx.doi.org/10.1109/icaee.2014.6838514

F. S. Abu-Mouti and M. E. El-Hawary, Optimal Distributed Generation Allocation and Sizing in Distribution Systems via Artificial Bee Colony Algorithm, IEEE Transactions on Power Delivery, vol. 26, no. 4, pp. 2090–2101, Oct. 2011.
http://dx.doi.org/10.1109/tpwrd.2011.2158246

M. EL-Shimy, N. Mostafa, A. N. Afandi, A. M. Sharaf, and M. A. Attia, Impact of load models on the static and dynamic performances of grid-connected wind power plants: A comparative analysis, Mathematics and Computers in Simulation, Feb. 2018.
http://dx.doi.org/10.1016/j.matcom.2018.02.003

Q. Wang, A. Yang, F. Wen, and J. Li, Risk-based security-constrained economic dispatch in power systems, J. Mod. Power Syst. Clean Energy, vol. 1, no. 2, pp. 142–149, Sep. 2013.
http://dx.doi.org/10.1007/s40565-013-0019-x

A. N. Afandi, Solving Combined Economic and Emission Dispatch Using Harvest Season Artificial Bee Colony Algorithm Considering Food Source Placements and Modified Rates, International journal on electrical engineering and informatics, vol. Vol. 6, p. 267, Jul. 2014.
http://dx.doi.org/10.15676/ijeei.2014.6.2.4

U. Güvenç, Y. Sönmez, S. Duman, and N. Yörükeren, Combined economic and emission dispatch solution using gravitational search algorithm, Scientia Iranica, vol. 19, no. 6, pp. 1754–1762, Dec. 2012.
http://dx.doi.org/10.1016/j.scient.2012.02.030

I. G. Damousis, A. G. Bakirtzis, and P. S. Dokopoulos, Network-constrained economic dispatch using real-coded genetic algorithm, IEEE Transactions on Power Systems, vol. 18, no. 1, pp. 198–205, Feb. 2003.
http://dx.doi.org/10.1109/tpwrs.2002.807115

A. N. Afandi and H. Miyauchi, Improved artificial bee colony algorithm considering harvest season for computing economic dispatch on power system, IEEJ Trans Elec Electron Eng, vol. 9, no. 3, pp. 251–257, May 2014.
http://dx.doi.org/10.1002/tee.21963

R. M. Rizk-Allah, R. A. El-Sehiemy, and G.-G. Wang, A novel parallel hurricane optimization algorithm for secure emission/economic load dispatch solution, Applied Soft Computing, vol. 63, pp. 206–222, Feb. 2018.
http://dx.doi.org/10.1016/j.asoc.2017.12.002

F. H. Aghdam and M. T. Hagh, Security Constrained Unit Commitment (SCUC) formulation and its solving with Modified Imperialist Competitive Algorithm (MICA), Journal of King Saud University - Engineering Sciences, Aug. 2017.
http://dx.doi.org/10.1016/j.jksues.2017.08.003

T. Sabo, A Survey on Environmental Economic Load Dispatch using Lagrange Multiplier Method, 2012.
http://dx.doi.org/10.1109/icpst.2006.321534

M. Sevil, O. Ayan, and B. Turkay, Economic and environmental load dispach using genetic algorithm, in 2017 2nd International Conference Sustainable and Renewable Energy Engineering (ICSREE), 2017, pp. 53–57.
http://dx.doi.org/10.1109/icsree.2017.7951510

L. T. Al Bahrani and J. C. Patra, Orthogonal PSO algorithm for economic dispatch of thermal generating units under various power constraints in smart power grid, Applied Soft Computing, vol. 58, no. Supplement C, pp. 401–426, Sep. 2017.
http://dx.doi.org/10.1016/j.asoc.2017.04.059

A. N. Afandi, Optimal scheduling power generations using HSABC algorithm considered a new penalty factor approach, in The 2nd IEEE Conference on Power Engineering and Renewable Energy (ICPERE) 2014, 2014, pp. 13–18.
http://dx.doi.org/10.1109/icpere.2014.7067227

A. Gupta, K. K Swarnkar, and K. Wadhwani, Combined Economic Emission Dispatch Problem using Particle Swarm Optimization, vol. 49. 2012.
http://dx.doi.org/10.5120/7628-0695

M. A. Abido, Multiobjective evolutionary algorithms for electric power dispatch problem, IEEE Transactions on Evolutionary Computation, vol. 10, no. 3, pp. 315–329, Jun. 2006.
http://dx.doi.org/10.1109/tevc.2005.857073

F. P. Mahdi, P. Vasant, V. Kallimani, J. Watada, P. Y. S. Fai, and M. Abdullah-Al-Wadud, A holistic review on optimization strategies for combined economic emission dispatch problem, Renewable and Sustainable Energy Reviews, vol. 81, no. Part 2, pp. 3006–3020, Jan. 2018.
http://dx.doi.org/10.1016/j.rser.2017.06.111

M. Bhoye, M. H. Pandya, S. Valvi, I. N. Trivedi, P. Jangir, and S. A. Parmar, An emission constraint Economic Load Dispatch problem solution with Microgrid using JAYA algorithm, in 2016 International Conference on Energy Efficient Technologies for Sustainability (ICEETS), 2016, pp. 497–502.
http://dx.doi.org/10.1109/iceets.2016.7583805

T. Ratniyomchai, A. Oonsivilai, P. Pao-La-Or, and T. Kulworawanichpong, Economic Load Dispatch Using Improved Harmony Search, WSEAS Trans. Sys. Ctrl., vol. 5, no. 4, pp. 248–257, Apr. 2010.
http://dx.doi.org/10.15866/iree.v10i2.5361

Y. Cheng, W. Xiao, W. J. Lee, and M. Yang, A new approach for emissions and security constrained economic dispatch, in 41st North American Power Symposium, 2009, pp. 1–5.
http://dx.doi.org/10.1109/naps.2009.5484090

M. El-Shimy, M. A. Attia, N. Mostafa, and A. N. Afandi, Performance of grid-connected wind power plants as affected by load models: A comparative study, in 2017 5th International Conference on Electrical, Electronics and Information Engineering (ICEEIE), 2017, pp. 1–8.
http://dx.doi.org/10.1109/iceeie.2017.8328753

N. Tutkun, O. Can, and A. N. Afandi, Low cost operation of an off-grid wind-PV system electrifying residential homes through combinatorial optimization by the RCGA, in 2017 5th International Conference on Electrical, Electronics and Information Engineering (ICEEIE), 2017, pp. 38–42.
http://dx.doi.org/10.1109/iceeie.2017.8328759

J. L. M. Ramos, A. T. Lora, J. R. Santos, and A. G. Exposito, Short-term hydro-thermal coordination based on interior point nonlinear programming and genetic algorithms, in 2001 IEEE Porto Power Tech Proceedings (Cat. No.01EX502), 2001, vol. 3, pp. 6 pp. vol.3-.
http://dx.doi.org/10.1109/ptc.2001.964887

A. N. Afandi, Thunderstorm Algorithm for Assessing Thermal Power Plants of the Integrated Power System Operation with an Environmental Requirement, International Journal of Engineering and Technology, vol. 8, pp. 1102–1111, Apr. 2016.
http://dx.doi.org/10.5614/j.eng.technol.sci.2016.48.6.7

Y. Fu, M. Shahidehpour, and Z. Li, AC contingency dispatch based on security-constrained unit commitment, IEEE Transactions on Power Systems, vol. 21, no. 2, pp. 897–908, May 2006.
http://dx.doi.org/10.1109/tpwrs.2006.873407

Z.-L. Gaing, Closure to ‘Discussion of “Particle swarm optimization to solving the economic dispatch considering the generator constraints, IEEE Transactions on Power Systems, vol. 19, no. 4, pp. 2122–2123, Nov. 2004.
http://dx.doi.org/10.1109/tpwrs.2004.831708

A. N. Afandi, I. Fadlika, and A. Andoko, Comparing Performances of Evolutionary Algorithms on the Emission Dispatch and Economic Dispatch Problem, TELKOMNIKA (Telecommunication Computing Electronics and Control), vol. 13, no. 4, pp. 1187–1193, Dec. 2015.
http://dx.doi.org/10.12928/telkomnika.v13i4.3166

A. N. Afandi, Optimal Solution of the EPED Problem Considering Space Areas of HSABC on the Power System Operation, vol. 7. 2015.
http://dx.doi.org/10.1109/icpere.2014.7067227

K. Chandram, N. Subrahmanyam, and M. Sydulu, Equal embedded algorithm for economic load dispatch problem with transmission losses, International Journal of Electrical Power & Energy Systems, vol. 33, no. 3, pp. 500–507, Mar. 2011.
http://dx.doi.org/10.1016/j.ijepes.2010.12.002

Y. Y. Hong and C. Y. Li, Back-Pressure Cogeneration Economic Dispatch For Physical Bilateral Contract Using Genetic Algorithms, in 2006 International Conference on Probabilistic Methods Applied to Power Systems, 2006, pp. 1–8.
http://dx.doi.org/10.1109/pmaps.2006.360247

W. Bai, I. Eke, and K. Y. Lee, An improved artificial bee colony optimization algorithm based on orthogonal learning for optimal power flow problem, Control Engineering Practice, vol. 61, no. Supplement C, pp. 163–172, Apr. 2017.
http://dx.doi.org/10.1016/j.conengprac.2017.02.010

A. N. Afandi, Y. Sulistyorini, H. Miyauchi, G. Fujita, X. Z. Gao, and M. El-Shimy, The Penetration of Pollutant Productions on Dynamic Generated Power Operations Optimized Using a Novel Evolutionary Algorithm, International Journal on Advanced Science, Engineering and Information Technology, vol. 7, no. 5, pp. 1825–1831, Oct. 2017.
http://dx.doi.org/10.18517/ijaseit.7.5.1635

A. N. Afandi, I. Fadlika, and Y. Sulistyorini, Solution of dynamic economic dispatch considered dynamic penalty factor, in 2016 3rd Conference on Power Engineering and Renewable Energy (ICPERE), 2016, pp. 241–246.
http://dx.doi.org/10.1109/icpere.2016.7904870

T. S. Prasanna and P. Somasundaram, Fuzzy mutated evolutionary programming based algorithm for combined economic and emission dispatch, in TENCON 2008 - 2008 IEEE Region 10 Conference, 2008, pp. 1–5.
http://dx.doi.org/10.1109/tencon.2008.4766769

A. N. Afandi, Weighting Factor Scenarios for Assessing the Financial Balance of Pollutant Productions and Fuel Consumptions on the Power System Operation, Wseas Transactions On Business And Economics, vol. 14, 2017.
http://dx.doi.org/10.1002/9781118915110.ch7

K. C. Wiens, S. A. Rutledge, and S. A. Tessendorf, The 29 June 2000 Supercell Observed during STEPS. Part II: Lightning and Charge Structure, J. Atmos. Sci., vol. 62, no. 12, pp. 4151–4177, Dec. 2005.
http://dx.doi.org/10.1175/jas3615.1

S. B. Smith, J. G. LaDue, and D. R. MacGorman, The Relationship between Cloud-to-Ground Lightning Polarity and Surface Equivalent Potential Temperature during Three Tornadic Outbreaks, Mon. Wea. Rev., vol. 128, no. 9, pp. 3320–3328, Sep. 2000.
http://dx.doi.org/10.1175/1520-0493(2000)128%3C3320:trbctg%3E2.0.co;2

L. D. Carey, S. A. Rutledge, and W. A. Petersen, The Relationship between Severe Storm Reports and Cloud-to-Ground Lightning Polarity in the Contiguous United States from 1989 to 1998, Mon. Wea. Rev., vol. 131, no. 7, pp. 1211–1228, Jul. 2003.
http://dx.doi.org/10.1175/1520-0493(2003)131%3C1211:trbssr%3E2.0.co;2

A. N. Afandi and Y. Sulistyorini, Thunderstorm Algorithm for Determining Unit Commitment in Power System Operation, Journal of Engineering and Technological Sciences, vol. 48, no. 6, pp. 743–752, Dec. 2016.
http://dx.doi.org/10.5614/j.eng.technol.sci.2016.48.6.7

C. P. R. Saunders, H. Bax-Norman, E. e. Avila, and N. E. Castellano, A laboratory study of the influence of ice crystal growth conditions on subsequent charge transfer in thunderstorm electrification, Q.J.R. Meteorol. Soc., vol. 130, no. 599, pp. 1395–1406, Apr. 2004.
http://dx.doi.org/10.1256/qj.03.126

D. R. MacGorman, W. D. Rust, P. Krehbiel, W. Rison, E. Bruning, and K. Wiens, The Electrical Structure of Two Supercell Storms during STEPS, Mon. Wea. Rev., vol. 133, no. 9, pp. 2583–2607, Sep. 2005.
http://dx.doi.org/10.1175/mwr2994.1

R. Lingala, A. Bethina, P. V. R. Rao, and K. Sumanth, Economic load dispatch using heuristic algorithms, in 2015 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE), 2015, pp. 519–522.
http://dx.doi.org/10.1109/wiecon-ece.2015.7443983

S. Durai, S. Subramanian, and S. Ganesan, Preferred Economic Dispatch of Thermal Power Units, Journal of Power and Energy Engineering, vol. 03, no. 11, p. 47, 2015.
http://dx.doi.org/10.4236/jpee.2015.311005

A. N. Afandi, Y. Sulistyorini, G. Fujita, N. P. Khai, and N. Tutkun, Renewable energy inclusion on economic power optimization using thunderstorm algorithm, in 2017 4th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI), 2017, pp. 1–6.
http://dx.doi.org/10.1109/eecsi.2017.8239141

N. Singh and Y. Kumar, Economic load dispatch with environmental emission using MRPSO, in 2013 3rd IEEE International Advance Computing Conference (IACC), 2013, pp. 995–999.
http://dx.doi.org/10.1109/iadcc.2013.6514362


Refbacks

  • There are currently no refbacks.



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