Solving Economic Load Dispatch Problem of Power System Based on Differential Evolution Algorithm with Different Mutation Strategies

The economic load dispatch (ELD) in the power system is to reasonably allocate the output power of each generating unit under the premise of satisfying the operation constraints and the balance of supply and demand, so as to optimize the total cost of power generation as the objective function. Taki...

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Bibliographic Details
Published inIAENG international journal of computer science Vol. 49; no. 1; p. 156
Main Authors Hao, Wen-Kuo, Li, Yun-Peng, Wang, Jie-Sheng, Zhu, Qi
Format Journal Article
LanguageEnglish
Published Hong Kong International Association of Engineers 24.02.2022
Subjects
Algorithms
Evolutionary algorithms
Evolutionary computation
Genetic algorithms
Particle swarm optimization
Power dispatch
Simulated annealing
Simulation
Supply & demand
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Summary:The economic load dispatch (ELD) in the power system is to reasonably allocate the output power of each generating unit under the premise of satisfying the operation constraints and the balance of supply and demand, so as to optimize the total cost of power generation as the objective function. Taking the system power balance and the upper limits and lower limits of generator output as constraints in the ELD problem, its mathematical model was established. A differential evolution (DE) algorithm based on different strategies is proposed to solve the ELD problem. Aiming at three ELD examples, the most suitable differential evolution strategy for the ELD problems was found through the results of simulation experiments. Under the same starting conditions, DE algorithm, particle swarm optimization (PSO) algorithm, genetic algorithm (GA) and simulated annealing (SA) algorithm were used to conduct simulation experiments to verify the superiority of DE algorithm. Experimental results show that the proposed DE algorithm has the best performance in solving ELD problems.
ISSN:1819-656X
1819-9224