Cascade reservoir group optimized dispatching multi-core parallel computing design method based on Fork/Join framework

Abstract

The invention discloses a cascade reservoir group optimized dispatching multi-core parallel computing design method based on a Fork / Join framework. The method includes the following steps that 1, the Fork / Join parallel framework is established; 2, the Fork / Join parallel framework is achieved; 3, typical intelligent method parallel design in a coarse-grained mode is carried out; 4, typical dynamic planning method parallel design in a fine-grained mode is carried out. By means of PSCWAGA, PAHPSO, PDP and PDDDP method instance testing results, the Fork / Join multi-core parallel framework is adopted, the multi-core CPU parallel performance can be fully exerted, calculation time is greatly shortened, the calculation efficiency of the algorithm is remarkably improved, and the larger the calculation scale of the parallel method is, the shorter the calculation time is, and the more obvious the advantages of parallel calculation is. Along with gradual increase of the calculation scale, the speed-up ratio is gradually increased, the parallel efficiency is gradually improved, and the speed-up ratio is closer to an ideal speed-up ratio.

Description

technical field [0001] The invention relates to the field of refined scheduling of cascade reservoir groups, in particular to a multi-core parallel computing design method for optimal scheduling of cascade reservoir groups based on the Fork / Join framework. Background technique [0002] In recent years, my country's hydropower industry has developed very rapidly. By the end of 2015, the total installed capacity of hydropower in China had reached 320 million kW, accounting for about 1 / 4 of the total installed capacity of hydropower in the world, making it a well-deserved super power in the world. At present, my country's hydropower energy is mainly distributed in the 13 major hydropower bases. The development of these hydropower bases is gradually forming a large number of cascade reservoirs on the main stream, which generally present the characteristics of a large number of cascade reservoirs and large installed capacity. The scale of power stations in river basins is often m...

AI Technical Summary

Problems solved by technology

However, these frameworks cannot effectively adapt to the serial method developed by the Java language (one of the current mainstream assembly languages), and are difficult to apply to the parallel development and transformation of Java coded programs.

The Fork / Join parallel framework is a multi-core parallel framework developed based on Java source code, and has been integrated into the concurrent program package of Java version 7 as a standard program. Moreover, since the framework was put forward late, there are few results applied to the parallel calculation of cascade reservoir group optimal dispatching methods, and there are no related achievements that systematically describe its implementation methods and performance influencing factors

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