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Distributed computing method for smart grid hybrid network architecture

A distributed computing and hybrid network technology, applied to electrical components, transmission systems, etc., can solve problems such as intermittent renewable energy, difficulty in grid-connected control of power systems, massive data and long delays, etc.

Inactive Publication Date: 2019-01-15
HANGZHOU ZHONGHENG ELECTRIC CO LTD
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  • Abstract
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  • Application Information

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Problems solved by technology

Due to the intermittent and uncontrollable characteristics of renewable energy, its grid-connected control brings great difficulties to the power system, and has high requirements for information processing delay
At present, the centralized information processing method of cloud computing, because the server is far away from the terminal equipment, the long-distance transmission of massive data brings large delay problems, bandwidth problems, and insufficient control.

Method used

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  • Distributed computing method for smart grid hybrid network architecture
  • Distributed computing method for smart grid hybrid network architecture
  • Distributed computing method for smart grid hybrid network architecture

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Embodiment

[0059] Embodiment: In this embodiment, a distributed computing method for multi-device coordination and cooperation in a smart grid, such as figure 2 As shown, the hybrid network architecture includes a cloud computing layer, a load balancing layer, an edge computing layer, a terminal device layer, and a network transmission layer. The cloud computing layer includes a cloud computing node, and the edge computing layer includes L edge computing nodes, such as figure 1 shown, including the following steps:

[0060] Build a system model f;

[0061] Use the immune chaos particle swarm algorithm to calculate the amount of tasks that should be assigned to each computing node. The computing nodes include cloud computing nodes and edge computing nodes, including the following steps:

[0062] S1: Set the basic parameters of the immune chaotic particle swarm algorithm, including the particle swarm size N p , particle swarm dimension D, maximum number of iterations T, learning factor ...

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Abstract

The invention discloses a distributed computing method for smart grid hybrid network architecture. The method includes the following steps: establishing system model; The Basic Parameters of Initializing Immune Chaotic Particle Swarm Optimization; Np particles are randomly generated to calculate the processing delay of the whole task under the current task assignment. Calculating a fitness value of each of the current Np particles; Judging the number of particle iteration, if the number of particle iteration reaches the set immune interference step size e, performing immune mutation operation,otherwise updating the individual optimal fitness value of each particle and the global optimal fitness value of all particles; Judge whether the maximum number of iterations of immune chaotic particle swarm optimization algorithm is reached, if so, output the particle corresponding to the global optimal fitness value of the algorithm as the optimal scheme of task allocation, otherwise continue to iterate. The invention can calculate the optimal scheme of task distribution and improve the processing capability of the smart grid for high concurrency and low time delay tasks.

Description

technical field [0001] The invention relates to the technical field of smart grids, in particular to a distributed computing method oriented to a smart grid hybrid network architecture. Background technique [0002] With the increase of distributed energy grid connection rate and the rapid development of smart grid, the amount of data generated by the power system has also increased exponentially. How to use advanced information processing systems to improve the big data processing and control capabilities of the power system has become An important problem that must be faced and solved in the development of smart grid. Due to the intermittent and uncontrollable characteristics of renewable energy, its grid-connected control brings great difficulties to the power system, and has high requirements for information processing delay. At present, the centralized information processing method of cloud computing, because the server is far away from the terminal equipment, the long...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L29/08
CPCH04L67/10H04L67/1097H04L67/1001
Inventor 宁士远姜淏予葛泉波
Owner HANGZHOU ZHONGHENG ELECTRIC CO LTD
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