Abstract：The electromagnetism-like mechanism(ELM) is executed to solve the hydrothermal power systems optimization scheduling model with large-scale and strongly nonlinear characteristics efficiently. The root cause of high efficiency of the algorithm which is revealed by analyzing of search strategies and optimization mechanisms lies in its blend of the search advantage of conventional optimization algorithms. The analysis of calculation performance showes that the main factors of affecting the algorithm’s efficiency are individual force calculation and local search strategies. The novel unidirectional force electromagnetism-like mechanism(UFELM) for adapting to solve large-scale and strongly nonlinear optimization problems is presented by improving charge calculation,force calculation,global search strategies and local search strategies. The global convergence is also proved by using stochastic theory. To further enhance the algorithm’s optimization performance,the enhanced UELM combined with crossover and mutation operator is used to solve hydrothermal optimization scheduling model. The simulation for Guangxi hydrothermal power systems show that the algorithm’s effectiveness and significant superiority in solving large-scale and strongly nonlinear optimization issues.
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