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Download Artificial Intelligence in Power System Optimization by Weerakorn Ongsakul, Dieu Ngoc Vo PDF

By Weerakorn Ongsakul, Dieu Ngoc Vo

With the huge elevate of AI purposes, AI is being more and more used to unravel optimization difficulties in engineering. some time past twenty years, the functions of man-made intelligence in energy structures have attracted a lot learn. This publication covers the present point of functions of man-made intelligence to the optimization difficulties in energy structures. This ebook serves as a textbook for graduate scholars in electrical energy process administration and is usually important should you have an interest in utilizing synthetic intelligence in strength process optimization.

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015, ĮȖ= ĮȘ=2×10–8. 48 kg/h, respectively. Compared to the single fuel objective case, the total cost in this case is somewhat higher while the emission level is considerably lower. Therefore, depending on the selected objective of minimization, a solution will be obtained accordingly. 4429»¼ Multi-objectives If more or all objectives are to be considered, a trade-off between the objectives has to be reached. Generally, the best compromise between objectives is based on the trade-off curve obtained by changing the weight contribution of each single objective to the general objective.

At different points in the slope, total cost obtained and emission level will vary inversely. The point where the best compromise between the objectives is reached is the best trade-off between cost and emission. To observe the trade-off between two objectives, the slope of the sigmoid function is changed from 10–5 to 105 while the penalty factors are fixed at 10–5 and other parameters change corresponding to the slope. The obtained generation cost and emission level curves with different slopes are shown in Fig.

PGi3 + cNOxi . PGi2 + bNOxi . PGi + aNOxi ECO2 ( PGi ) = dCO2i . PGi3 + cCO2i . PGi2 + bCO2i . 0 For the implementation of the linear fuzzy programming method, these functions are linearized into 5 piece-wise linear functions. 7 address the dispatch results of minimum operating cost, SO2, NOx and CO2 emissions, respectively. 8 shows the dispatch results of the multi-objective solution. The results show that the single objective approaches result in inferior results in the other objectives and a lower degree of satisfaction.

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