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

A parallel computing, cascade reservoir technology, applied in computing, program control design, design optimization/simulation, etc., can solve problems such as parallel development and transformation of difficult programs, ineffective adaptation, and late proposal

Inactive Publication Date: 2017-08-04
PEARL RIVER HYDRAULIC RES INST OF PEARL RIVER WATER RESOURCES COMMISSION
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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 integra

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

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[0102] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the embodiments of the present invention. Apparently, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0103] 1. Optimal dispatching model of cascade hydropower station group

[0104] (1) Objective function

[0105] Take the maximum total power generation model of cascade reservoirs as an example. The model can be described as: under the conditions of the inflow flow of each power station in the known dispatch period, considering various constraints such as water balance, water storage, discharge, and output, and taking into account the comprehensive requirements of flood con...

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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...

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Application Information

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IPC IPC(8): G06F9/50G06F17/50
CPCG06F9/5038G06F9/5066G06F30/20G06F2209/503
Inventor 王森马志鹏李善综张康石赟赟黄燕严黎陈娟朱秋菊郑江丽熊静刘学明陈丽
Owner PEARL RIVER HYDRAULIC RES INST OF PEARL RIVER WATER RESOURCES COMMISSION
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