Multi-agent load regulation and control method based on edge computing

An edge computing, multi-agent technology, applied in computing, AC network voltage adjustment, AC network with the same frequency from different sources, etc. power supply coordination control and other issues

Active Publication Date: 2020-04-17
NORTHEASTERN UNIV
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] The current distributed control is generally aimed at a single category such as distributed power or load, and less consideration is given to the coordinated regulation of controllable loads and distributed power.
Even if a small amount

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  • Multi-agent load regulation and control method based on edge computing
  • Multi-agent load regulation and control method based on edge computing
  • Multi-agent load regulation and control method based on edge computing

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Embodiment Construction

[0085] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0086] A multi-agent load control method based on edge computing, such as figure 1 shown, including the following steps:

[0087] Step 1: Center the power grid in a region with the 110kV or 66kV substation as the center, divide it into regional power grids connected to each other according to the power nodes near the substation, and establish the power node data model inside the regional power grid without considering network loss within the region;

[0088] The power nodes are various types of power consumption and power generation equipment. The established data model of the power node in the regional power grid includes a data model of thermal power generation, a mathe...

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Abstract

The invention provides a multi-agent load regulation and control method based on edge computing, and relates to the technical field of load management in an intelligent microgrid environment. The method comprises the steps of firstly establishing a power node data model in a regional power grid; considering a coupling relationship between regional power grids, establishing a perception model basedon edge computing, and perceiving voltages and phase angles at two ends of a tie line; calculating line loss between the regional power grids, and superposing the generated power and the consumed power in the regional power grids to obtain net active power of the regional power grids; setting a target function of the regional power grid; deducing an interval power grid economic benefit optimal target function according to the target functions of the regional power grids; and finally, converting the economic optimization and load adjustment problem of the interval power grid into the overall economic benefit and inter-regional power balance coupling problem of the distributed regional power grids; and converting the target function into an augmented Lagrange function, and solving the augmented Lagrange function by using an ADMM algorithm to realize regulation and control of the load of the power grid system.

Description

technical field [0001] The invention relates to the technical field of load management in an intelligent micro-grid environment, in particular to a multi-agent load control method based on edge computing. Background technique [0002] With the development of Internet of Things technology and communication technology, data computing methods are gradually changing, and more edge computing methods will replace traditional centralized computing. The new model of using substation resources to construct and operate charging and swapping (energy storage) stations and data center stations has become a new research direction. It means that at this stage, the substation will gradually develop from a conventional substation to a digital and intelligent direction. At the same time, the emerging substation data agent node technology will also become the focus of research. [0003] The concept of intelligent agent was proposed by Minsky in the 1980s, so far there is no generally accepte...

Claims

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Application Information

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IPC IPC(8): H02J3/06H02J3/14H02J3/38G06Q10/06G06Q50/06
CPCH02J3/06H02J3/14G06Q10/06315G06Q50/06Y04S20/222Y02B70/3225H02J3/0075H02J2203/10H02J2203/20G06Q10/063Y04S10/50Y04S40/20Y02E60/00
Inventor 周博文杨东升张化光王大千刘鑫蕊杨波罗艳红孙振奥梁雪刘振伟王智良金硕巍倪雪晴
Owner NORTHEASTERN UNIV
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