A Review on Techniques Used for Solving the Economic Load Dispatch Problems: Categorization, Advantages, and Limitations

Aliyu Sabo; Sadiq Buba; Kabir Muhammed; Samuel ephraim Kalau; Daramola paul Olaniyi; Veerapandiyan Veerasamy; Abdulmajid Muhammed Na'inna

doi:10.26740/vubeta.v2i1.35591

Authors

Engr. Dr. Sabo Aliyu (Ph.D) MIEEE. Department of electrical and electronics engineering Nigerian defence academy
Sadiq Buba Department of electrical and electronics engineering Nigerian defence academy
Engr. Kabir muhammed Department of electrical and electronics engineering Nigerian defence academy
Samuel ephraim Kalau Department of electrical and electronics engineering Nigerian defence academy
Daramola paul Olaniyi Department of electrical and electronics engineering Nigerian defence academy
Veerapandiyan Veerasamy School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore
Abdulmajid Muhammed Na'inna Pakistan Air Force (PAF) Air War College Institute Karachi, Pakistan

DOI:

https://doi.org/10.26740/vubeta.v2i1.35591

Keywords:

Economic load dispatch, Lambda iteration, Genetic Algorithm, Simulation annealing, Particle swarm optimization

Abstract

The increasing global demand for electric power presents significant challenges for power utilities, as they must balance the need for reliable and sustainable power generation with the goal to minimize generation costs. This challenge has led to studying Economic Load Dispatch (ELD), which aims to optimize power generation at minimal fuel costs. This paper presents a comprehensive review of several primary techniques used in solving ELD problems, including traditional methods such as the Lambda Iteration, Gradient, and Newton-Raphson techniques, as well as modern optimization methods like Genetic Algorithm (GA), Simulated Annealing (SA), Particle Swarm Optimization (PSO), Artificial Bee Colony (ABC), Sine Cosine Algorithm (SCA), and Gravitational Search Algorithm (GSA). The paper also provides a comparative analysis using tables and chart in section three outlining the advantages, disadvantages, and limitations of each technique discussed in section two. Additionally, this review examines the applications of these techniques on IEEE test systems in various studies, highlighting their effectiveness on practical utility making it easier for researchers to make a choice in selecting a technique for their ELD problem.

Author Biographies

Engr. Dr. Sabo Aliyu (Ph.D) MIEEE., Department of electrical and electronics engineering Nigerian defence academy

Engr. Dr. Sabo Aliyu (Ph.D) MIEEE. PES. (Member, IEEE) completed his Bachelor’s degree in Electrical Engineering from the Prestigious Ahmadu Bello University, Zaria, Kaduna State, Nigeria in 2011. He completed his M.Sc and Ph.D Degrees in Electrical Power Systems Engineering from Universiti Putra Malaysia. His main research areas include the application of Neuro-Fuzzy Controller to power system, Computational Intelligence techniques, Power System Oscillation Damping Controller Designs, Power Systems Optimizations, Power Flow and Optimal Power Flow, Power Quality, and Robust controllers with several online publications. He is currently a Senior Lecturer at Nigerian Defence Academy, Kaduna State, Nigeria. He is a registered Engineer under the Council for the Regulation of Engineering in Nigeria (COREN).

Sadiq Buba, Department of electrical and electronics engineering Nigerian defence academy

Sadiq .N. Buba: Is a Protection Engineer at Kaduna Electricity Distribution Company, (KAEDCO) Nigeria. He received his B.Eng. from Modibbo Adama University of Technology Yola in Electrical and Electronics Engineering department in the year 2020. He is presently an M.Eng student in the department of Electrical and Electronics Engineering (Power and Machine major) from the post graduate school Nigeria defense academy, Nigeria. He is also a member of International Association of Engineers (IAENG).

Contact email : sadiqnguraa@gmail.com

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