Resource scheduling method based on game theory in electric power Internet of Things system

Abstract

The invention discloses a resource scheduling method based on a game theory in an electric power Internet of Things system. The method comprises the following steps: (1) forming a network by intelligent electric meters and access points AP in the same area; and the intelligent electric meter communicating the information to the AP in a single-hop or multi-hop mode; establishing a transmission energy consumption function; (2) the intelligent electric meter having a calculation task, if local calculation resources are insufficient, unloading the task to other electric meters or APs on a path, and establishing a task unloading energy consumption function; (3) the intelligent electric meter selecting a next accessible intelligent electric meter or AP; all the intelligent electric meters and the APs in the network establishing a network to form a game; (4) the intelligent electric meter calculating a cost function of each strategy of the intelligent electric meter, and selecting the strategy with the minimum cost function through comparison; (5) updating the connection state of the network once when the strategy of each intelligent electric meter is changed; and (6) the game reaching Nash equilibrium, all the intelligent electric meters not changing the strategy any more, and each intelligent electric meter performing multi-hop transmission and task unloading according to the path formed by the selected strategy.

Description

technical field [0001] The invention belongs to the field of electric power Internet of Things, and in particular relates to a resource scheduling method based on game theory in a power Internet of Things system. Background technique [0002] Human demand for electricity has increased substantially in recent years, but traditional power distribution networks are inefficient. The power Internet of Things is a next-generation power distribution network composed of power control centers, transmission lines, substations, transformers, and users. It is able to integrate green power resources such as solar energy and wind energy into the energy distribution system, control power usage and balance energy loads. It uses the two-way flow of electricity and information to create an automated and distributed advanced energy delivery network, providing a fully observable energy distribution process, service providers and consumers can monitor and control its pricing, production and con...

AI Technical Summary

Problems solved by technology

However, the existing relevant literature only considers sending the data of the smart meter directly to the access point, and does not consider further optimizing the energy consumption of the transmission process.

At the same time, the computing resources of smart meters are limited. When it is necessary to deal with computing-intensive tasks, relying solely on their own computing resources will bring huge delays and energy consumption.

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