OPTIMIZING ECONOMIC LOAD DISPATCH PROBLEM USING GENETIC ALGORITHM: A CASE STUDY OF THERMAL POWER STATION JAMSHORO

Published 31 July 2021 •  vol 14  •  no 2  • 


Authors:

 

Munwar Ali Bhand, Transmission Operation Department, Dubai Electricity & Water Authority
Irfan Ahmed Halepoto, Department of Electronic Engineering, Mehran University of Engineering & Technology, Jamshoro, Pakistan
Muhammad Arsalan Jalees Abro, Information Technology, Mehran UET, Jamshoro, Pakistan
Prem Singh Rajput, Department of Telecommunication Engineering, Dawood University of Engineering & Technology, Karachi, Pakistan
Ghulam Mustafa Shoro, Department of Electronic Engineering, FET, University of Sindh, Jamshoro

Abstract:

 

The Economic Load Dispatching Problem (ELDP) in power system’s operational planning is of an immense importance. The power generation must fulfillment parity and disparity constraints. In order to satisfy the economical operation of the power system, the generated power must meet the load demand with minimum losses because the cost of storing the generated electrical energy is very high. The input-output characteristic curves of the modern thermal generating units are equipped with turbines having multi-valves steam input have non-convexity nature, this results in ELDP. Though this problem is discussed significantly but mostly analyzed using different mathematical approaches by utilizing the Quadratic Cost Curves (QCC) but the fact remains that the actual ELDP is non-convex whereas the QCC is convex. The multi-valve steam input based thermal power plants produce ripple like heat rates, which cannot be properly signified using convex approach thus can result in high cost.
In this work, ELDP is modeled using Real Coded Genetic Algorithm (RCGA)and convex and the non-convex economic dispatch problem has been investigated for Thermal Power Station (TPS) Jamshoro as a case study. The SYRAP (System Reservoir and Plants) software is used for economic operational loading of WAPDA power plants based on the incremental cost curves. The obtained results of TPS are validated with 6-machine IEEE standard test system with the simulation model for both nonconvex and convex economic dispatch. The obtained results confirm the minimum power generation cost by non-convex method as compared to convex approach.

Keywords:

 

Fuzzy Laplace Transforms; Time Scale; Fuzzy Dynamic Equation; Generalized Hukuhara Delta Derivative

References:

 

[1] Halepoto, I. A., Uqaili, M. A. and Chowdhry, B. S., “Least square regression based integrated multi-parameteric demand modeling for short term load forecasting”, Mehran University Research Journal of Engineering and Technology, vol. 33, no. 2, (2014), pp. 215-226.
[2] Moretti, L., Martelli, E. and Manzolini, G., “An efficient robust optimization model for the unit commitment and dispatch of multi-energy systems and microgrids”, Applied Energy, vol. 261, no. 113859, (2020).
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[4] Bhand, M. A., “Economic Dispatch using Genetic Algorithm with Application to Thermal Power Station Jamshoro”, M.E, Thesis, Department of Electrical Engineering, Mehran University of Engineering & Technology, Jamshoro, Pakistan, (2011).
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[8] Rajesh, K., Visali, N. and Sreenivasulu, N., “Optimal load scheduling of thermal power plants by genetic algorithm”, In Emerging Trends in Electrical, Communications, and Information Technologies, Springer, Singapore, (2020), pp. 397-409. [9] Technical & Statistical Data Book, “880MW Thermal Power Station Jamshoro”.

Citations:

 

APA:
Bhand, M. A., Halepoto, I. A., Jalees Abro, M. A., Rajput, P. S., & Shoro, G. M. (2021). Optimizing Economic Load Dispatch Problem Using Genetic Algorithm: A Case Study of Thermal Power Station Jamshoro. International Journal of Grid and Distributed Computing (IJGDC), ISSN: 2005-4262 (Print); 2207-6379 (Online), NADIA, 14(2), 15-24. doi: 10.33832/ijgdc.2021.14.2.02.

MLA:
Bhand, M. A., et al. “Optimizing Economic Load Dispatch Problem Using Genetic Algorithm: A Case Study of Thermal Power Station Jamshoro.” International Journal of Grid and Distributed Computing (IJGDC), ISSN: 2005-4262 (Print); 2207-6379 (Online), NADIA, vol. 14, no. 2, 2021, pp. 15-24. IJGDC, http://article.nadiapub.com/IJGDC/vol14_no2/2.html.

IEEE:
[1] M. Ali Bhand, I. Ahmed Halepoto, M. Arsalan Jalees Abro, P. Singh Rajput, and G. Mustafa Shoro, " Optimizing Economic Load Dispatch Problem Using Genetic Algorithm: A Case Study of Thermal Power Station Jamshoro." International Journal of Grid and Distributed Computing (IJGDC), ISSN: 2005-4262 (Print); 2207-6379 (Online), NADIA, vol. 14, no. 2, pp. 15-24, July 2021.