A Fast Scheduling Method to Solve Economic Load Dispatch Problem
(*) Corresponding author
Optimal scheduling of the generating units in one hour ahead considerably affects the electricity cost because the fuel cost component will bring up the economic load dispatch problem. Fuel cost is an essential parameter to calculate the optimal cost function of the power systems subject to the operating constraints and transmission loss. Generally, the economic load dispatch problem is resolved through the iteration step and using many variables so that it uses long computation time. The accuracy can also be low because the point of the solution can fall near the minimum local point. This paper proposes a method to provide better efficiency and accuracy of the economic load dispatch problem. The methodology forms a fuel cost function in the quadratic equation mathematically derived in order to obtain a faster solution without iteration processes. The B-loss matrix determines the transmission loss after receiving the optimal solution without considering transmission losses. The method validation simulates the economic load dispatch for the 26-Bus power system and the 6-generating units. After comparing with the Genetic Algorithm, the proposed method can save fuel costs significantly of about $ 29876.46 in 24 hours, while computing time in executing the application program is short enough, namely 0.15 seconds.
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A. Kamal, A. Fakhar, S. Nisar, M. Shafiq, Unit Commitment and Generation Scheduling of a Thermal Power Plant Using Economic Load Dispatch, International Electrical Engineering Journal (IEEJ), Vol. 8:2464–2478, 2018.
M.S. Krishnarayalu, Unit Commitment with Economic Dispatch, International Electrical Engineering Journal (IEEJ), Vol. 6: 1913–1916, 2015.
S. Prabakaran, V. Senthilkumar, B. G, Economic Dispatch Using Hybrid Particle Swarm Optimization with Prohibited Operating Zones and Ramp Rate Limit Constraints, Journal of Electrical Engineering and Technology, Vol. 10:1442–1453, July 2015.
F. Cebulla, T. Fichter, Merit Order or Unit-Commitment: How Does Thermal Power Plant Modeling Affect Storage Demand in Energy System Models?, Renewable Energy, Elsevier, Vol. 105(C): 117-132, 2017.
C. Wang, S.M. Shahidehpour, Effects of Ramp-rate Limits on Unit Commitment and Economic Dispatch, IEEE Transaction Power System, IEEE Transaction Power System, Vol. 8(Issue 3): 1341-1350, 1993.
T. Sawa, K. Furukawa, Unit Commitment Using Quadratic Programming and Unit De-commitment, IEEE Conference: Power and Energy Society General Meeting, July 2012.
A. Safari, H. Shayeghi, Iteration Particle Swarm Optimization Procedure for Economic Load Dispatch with Generator Constraints. Expert System with Application, Vol. 38(5):6043-6048, May 2011.
P. Girish, Y. Thangaraj, H. Raju, Solution for Economic Load Dispatch Problem using Optimization Algorithm - Review, International Journal of Pure and Applied Mathematics, Vol. 119: 263–269, August 2018.
Y.K. Wu, Y.H. Li, W.H. Hsu, B.R. Lan, Review of security-constrained unit commitment in a large power system. In: Proceedings of 4th IEEE International Conference on Applied System Innovation 2018, ICASI 2018: 1310–1313, 2018.
S.R. Vyas, A Study on: Optimization of Economic Load Dispatch Problem By PSO, Indian Journal of Applied Research, Vol. 4(Issue 6):171-173, June 2014.
N. Singh, Y. Kumar, Multi Objective Economic Load Dispatch Problem Solved By New PSO, Advances In Electrical Engineering, Vol. 2015:1–6, February 2015.
J. Zhu, Optimization of Power System Operation (Wiley-IEEE Press, 2009). doi: 10.1002/9780470466971.ch12
A.J. Wood, F. Bruce, Power Generation, Operation, and Control (John Wiley and Sons, 1996).
M. M. Salama, Economic Control for Generation in Thermal Power Systems, Energy Conversion and Management, Vol. 40:669–681, 1999.
I. C. Report, Present Practices in the Economic Operation of Power Systems In IEEE Transaction on Power Apparatus and Systems, Vol. PAS-90(4):1768-1775, July 1971.
J. Nanda, A. Sachan, L. Pradhan, M.L. Kothari, A.K. Rao, L.L. Lai, Application of Artificial Neural Network to Economic Load Dispatch, Fourth International Conference on Advances in Power System Control, Operation and Management, APSCOM-97, Vol. 2 (450):707–711, 1997.
J.B. Park, K.S. Lee, J.R. Shin, K.Y. Lee, A Particle Swarm Optimization for Economic Dispatch with Non-smooth Cost Functions, IEEE Transactions On Power Systems, Vol. 20,34–42, 2005.
J. Raharjo, A. Soeprijanto, H. Zein, Multi Dimension of Coarse to Fine Search Method Development for Solving Economic Dispatch, Indonesian Journal of Electrical Engineering and Computer Science, Vol. 3:1–9, July 2016.
C.W. Richter, Generation Control: Economic Dispatch and Unit Commitment In: Power System Stability and Control, Third Edition, 2017.
M.K. Sattar, A. Ahmad, S. Fayyaz, S.S. Ul-Haq, M.S. Saddique, Ramp Rate Handling Strategies in Dynamic Economic Load Dispatch (DELD) Problem Using Grey Wolf Optimizer (GWO), Journal of The Chinese Institute of Engineers, Vol.43:200–213, February 2020.
W. Mansour, M.M. Salama, S. AbdElmaksoud, H. Henry, Dynamic Economic Load Dispatch of Thermal Power System Using Genetic Algorithm, International Journal of Electrical and Power Engineering, Medwell Journals, Vol. 6:140–148, January 2012.
Q. P. Zheng, J. Wang and A. L. Liu, Stochastic Optimization for Unit Commitment-A Review, in IEEE Transactions on Power Systems, vol. 30, no. 4, pp. 1913-1924, July 2015.
P. Daly, D. Flynn, N. Cunniffe, Inertia ConsiderationsWithin Unit Commitment and Economic Dispatch for Systems with High Non-synchronous Penetrations, IEEE Eindhoven PowerTech, PowerTech 2015, 2015.
H. Zein, J. Raharjo, A. Soeprijanto, Dynamic Economic Load Dispatch of Electric Power System Using Direct Method, International Journal of Applied Engineering Research, Vol. 13(6):3242-3247, 2018.
G. Dalal, S. Mannor, Reinforcement Learning for The Unit Commitment Problem, IEEE Eindhoven PowerTech, PowerTech 2015, 2015.
C. Deckmyn, J. Van de Vyver, T.L. Vandoorn, B. Meersman, J. Desmet, L. Vandevelde, Day-ahead Unit Commitment Model for Microgrids, IET Generation Transmission Distribution, Vol. 11(1):1-9, 2017.
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.
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.
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.
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