Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Multi-core parallel and optimized dispatching method for large-scale cascade hydropower station group

A technology for cascade hydropower station groups and optimal scheduling, which is applied in the directions of multi-programming device, electrical digital data processing, program startup/switching, etc., and can solve problems such as inability to effectively adapt to Java language serial method, difficult program parallelization development and transformation, etc. , to reduce thread idle time, reduce occupancy and contention, and improve solution efficiency

Inactive Publication Date: 2017-08-04
PEARL RIVER HYDRAULIC RES INST OF PEARL RIVER WATER RESOURCES COMMISSION
View PDF3 Cites 17 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, these frameworks cannot effectively adapt to the serial method of Java language development, and are difficult to apply to the parallel development and transformation of Java-coded programs.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Multi-core parallel and optimized dispatching method for large-scale cascade hydropower station group
  • Multi-core parallel and optimized dispatching method for large-scale cascade hydropower station group
  • Multi-core parallel and optimized dispatching method for large-scale cascade hydropower station group

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0038] In the embodiment of the present invention, the specific implementation process of a multi-core parallel optimal scheduling method for a large-scale cascade hydropower station group is as follows.

[0039] 1. Optimal dispatching model of cascade hydropower station group

[0040] (1) Objective function

[0041] 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 control, irrigation, and shipping, the optimal Optimizing the scheduling decision-making process to maximize the power generation of the reservoir group during the scheduling period. The mathematical expression of the objective function is as follows:

[0042]

[0043] In the formula: E is the total po...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a multi-core parallel and optimized dispatching method for a large-scale cascade hydropower station group. Sub-groups are divided, wherein the calculation scale of an initial group is obtained from a main thread to serve as a father task scale, a general threshold value calculation formula of a Fork / Join parallel frame is adopted to divide a father task into no less than one subtask smaller in scale, the father task scale is equally divided into two subtasks identical in scale through recursive disintegration each time till the scales of subtasks are smaller than or equal to threshold values, and disintegration is stopped; sub-threads simultaneously calculate respective allocated subtasks, wherein the subtasks allocated to the sub-threads are identical in group scale, and optimal solutions of the subtasks are calculated by adopting an self-adaptive hybrid particle swarm optimization algorithm having the same calculation parameters; the optimal solutions are output, wherein the optimal solutions of all the subtasks are merged when the sub-threads complete calculation of all the subtasks, and an overall optimal solution is screened out and returned to the main thread. The parallelization of the method is achieved, the solving efficiency is improved, the thread standby time is shortened, and the thread utilization rate is improved.

Description

technical field [0001] The invention relates to the technical field of hydropower, in particular to a multi-core parallel optimal scheduling method for large-scale cascade hydropower station groups. Background technique [0002] With the emergence of cascade hydropower stations on the Wujiang River, Lancang River, Hongshui River, and Jinsha River in Southwest my country, the research on optimal dispatching methods for such large-scale hydropower systems has become particularly important. The salient feature of this cascade hydropower station group is that there are many stages of power stations. For example, there are 11 hydropower stations planned in the Wujiang River Basin, and 9 of them have been built; 9 power stations will be built; 12 power stations are planned in the middle and lower reaches of the Jinsha River, and 6 power stations have been built. The large number of hydropower stations in a group of hydropower stations means that the hydraulic and electrical conne...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06F9/48G06F9/50G06Q10/04G06Q50/06
CPCG06F9/4856G06F9/4881G06F9/5027G06F2209/483G06F2209/5011G06F2209/5018G06F2209/503G06Q10/04G06Q50/06
Inventor 王森马志鹏李善综张康黄燕石赟赟陈娟严黎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
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products