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Photovoltaic microgrid short-term load prediction and control method

A technology of short-term load forecasting and control methods, which is applied in the field of smart grids and can solve problems such as operating costs and low grid benefits

Pending Publication Date: 2021-02-26
JIANGSU UNIV OF SCI & TECH
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  • Claims
  • Application Information

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Problems solved by technology

[0009] The purpose of the present invention is to provide a short-term load forecasting and control method for micro-grids taking into account photovoltaics, and to solve the technical problems of micro-grid power generation, operating costs, and grid benefits that are too small in the prior art on the basis of safety and stability

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  • Photovoltaic microgrid short-term load prediction and control method

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Embodiment Construction

[0075] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative efforts fall within the protection scope of the present invention.

[0076] Such as figure 1 As shown, a specific embodiment of the present invention provides a short-term load forecasting and control method for a microgrid considering photovoltaics, including:

[0077] Step 1: Establish a power generation training data set based on historical photovoltaic power generation data, historical solar radiation intensity, historica...

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Abstract

The invention relates to a photovoltaic microgrid short-term load prediction and control method. The method comprises steps that a power generation training data set and a load training data set are built, and a power generation neural network and a load neural network are obtained; a power generation neural network and a load neural network are used for constructing each cost in a cost optimization target, finally, the optimal control parameters of the microgrid on the premise of the cost optimization target are obtained through an artificial bee colony and a particle optimization algorithm,and the microgrid is controlled according to the control parameters. According to the method, the operation strategy of the microgrid is optimally controlled, the total operation cost of the microgridis reduced, the environmental protection property is improved, and the economic benefit of the microgrid can be remarkably improved while the environment is protected.

Description

technical field [0001] The invention belongs to the technical field of smart grids, and in particular relates to a short-term load forecasting and control method for a micro-grid considering photovoltaics. Background technique [0002] With the increasing consumption of non-renewable energy around the world and the increasing demand for electric energy in society, improving energy utilization and developing renewable energy has become an important direction for the development of smart grids. Due to the full use of renewable energy such as solar energy, the flexible configuration of distributed power sources, the reliable supply of nearby loads, and the flexible switching between grid and off-grid, the micro-grid has become an indispensable supplement to the large power grid. And widely used in remote mountainous areas, islands, enterprises and other areas. [0003] Photovoltaic power generation, as an important power generation unit of micro-grid, is widely used due to its...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06Q50/06G06N3/00
CPCG06Q30/0202G06Q50/06G06Q30/0201G06Q30/0206G06N3/006Y04S10/50Y04S50/14Y02E40/70
Inventor 马国军刘清源张国清张宁张人尹
Owner JIANGSU UNIV OF SCI & TECH
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