Abstract
The dispatching of hydro-thermal system is a nonlinear programming problem with multiple constraints and high dimensions and the solution techniques of the model have been a hotspot in research. Based on the advantage of that the artificial bee colony algorithm (ABC) can efficiently solve the high-dimensional problem, an improved artificial bee colony algorithm has been proposed to solve DHTS problem in this paper. The improvements of the proposed algorithm include two aspects. On one hand, local search can be guided in efficiency by the information of the global optimal solution and its gradient in each generation. The global optimal solution improves the search efficiency of the algorithm but loses diversity, while the gradient can weaken the loss of diversity caused by the global optimal solution. On the other hand, inspired by genetic algorithm, the nectar resource which has not been updated in limit generation is transformed to a new one by using selection, crossover and mutation, which can ensure individual diversity and make full use of prior information for improving the global search ability of the algorithm. The two improvements of ABC algorithm are proved to be effective via a classical numeral example at last. Among which the genetic operator for the promotion of the ABC algorithm’s performance is significant. The results are also compared with those of other state-of-the-art algorithms, the enhanced ABC algorithm has general advantages in minimum cost, average cost and maximum cost which shows its usability and effectiveness. The achievements in this paper provide a new method for solving the DHTS problems, and also offer a novel reference for the improvement of mechanism and the application of algorithms.
Highlights
Research on the dispatching of hydro-thermal system (DHTS) to achieve the balance of supply and demand is an issue which has significant economic benefits [1]
Researchers have proposed a number of optimization algorithms in succession, which can be divided into two categories on the whole: traditional optimization algorithms and modern intelligent algorithms [2]
The DHTS problem is to utilize the cheap hydropower in priority, which takes advantage of reservoir regulation ability to adjust the output of hydro plant and minimizes the cost of hydrothermal system
Summary
Research on the dispatching of hydro-thermal system (DHTS) to achieve the balance of supply and demand is an issue which has significant economic benefits [1]. Three pretreatment measures that contain the adaptive flow decomposition strategy, the penalty function, the selection probability, are performed to improve the solving efficiency of the algorithm in this paper These measures can better achieve the balance between the exploration and exploitation ability of the ABC algorithm in theory and a classical test system was used to attest the improved algorithm’s rationality and superiority in this paper at last. Where Ph(i,t) is the power generation of the ith hydro plant at time interval t. In order to ensure the diversity of population, employees are required to carry on a local search for better nectar resources around the corresponding resources in each generation based on the following formula, xij 1⁄4 xij þ randðÀ 1; 1Þ Á ðxij À xkjÞ ð10Þ. Determine the scouters, and look for new nectar resources by Eq (13) Record the best nectar resource by far Determine whether the terminal condition is satisfied
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