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Optimize Dispatchers of Cascade Hydropower Station Based on IS-NGA

Authors: Zhao Tinghong; Man Zibin; Wang Yu; Wang Zhijun;

Optimize Dispatchers of Cascade Hydropower Station Based on IS-NGA

Abstract

Because the short-time optimized dispatcher question has some characteristics such as high dimension, non-protruding, dispersed, non-linear etc., so need one algorithm with high calculation precise and convergence speed to solve this question. This paper put forward one improve self-adaptation niche genetic algorithm, its characteristic mainly is crowding radius (Euclidean distance) can self-adaptation change with the increase of evolution, on the premise of well keeping the variation of solution, to improve the speed of convergence and precision of solution, then used this algorithm to solve the optimal dispatcher's question of cascade hydropower station, through the calculation of example, can find out, the improve self-adaptation niche genetic algorithm has greatly improve the speed of convergence and precision of solution.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
Average
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