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Distributed resource power demand prediction system and method

A technology of distributed resources and power demand, applied in power generation forecasting, photovoltaic power generation, electrical components and other directions in AC networks, can solve problems such as inability to accurately and effectively predict regional power consumption, achieve energy-saving effects, improve operation Stability, the effect of alleviating the power supply burden

Pending Publication Date: 2021-12-03
GUANGDONG POWER GRID CO LTD +1
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] The purpose of the present invention is to provide a distributed resource power demand forecasting system and method to solve the problem of inability to accurately and effectively predict regional power consumption in the prior art

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  • Distributed resource power demand prediction system and method

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Embodiment Construction

[0032] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0033] It should be understood that the step numbers used herein are only for convenience of description, and are not intended to limit the execution order of the steps.

[0034] It should be understood that the terminology used in the description of the present invention is for the purpose of describing particular embodiments only and is not intended to limit the present invention. As used in this specification and the appended claims, the singular forms "a", "an"...

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Abstract

The invention discloses a distributed resource power demand prediction system and method. The system comprises: a data collection module used for obtaining the number of people in a preset region, the environment temperature and the power consumption parameter of each air conditioner in real time; an electricity consumption simulation module used for determining an air conditioner adjusting strategy according to the number of people, the environment temperature and the electricity consumption parameters and calculating the total electricity consumption required by all air conditioners in a preset area according to the air conditioner adjusting strategy; a photovoltaic margin determination module used for determining the photovoltaic power generation energy storage margin according to the energy storage parameters; and a power demand prediction module used for calculating the replenishment power supply amount of the power grid in the preset area according to the difference value between the total power consumption and the photovoltaic power generation energy storage margin. According to the distributed resource power demand prediction system provided by the invention, the power supply burden of the power grid can be effectively relieved, and the energy-saving effect of the system and the operation stability of the air conditioner are improved.

Description

technical field [0001] The invention relates to the field of power demand forecasting, in particular to a distributed resource power demand forecasting system and method. Background technique [0002] At present, with the continuous growth of electricity demand, the load of the power system is also increasing sharply. For example, in summer, the long-term use of air conditioners in various public places will lead to a decrease in terminal power consumption efficiency and a substantial increase in power consumption, which is not conducive to Long-term development. For distributed photovoltaic power generation systems, using decentralized photovoltaic power generation modules to provide power to different devices can alleviate the burden on the power system, but the power storage efficiency of photovoltaic power generation modules is low, and in the case of insufficient sunlight The inability to store enough electricity to provide power for high-power appliances like air cond...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/00H02J3/32
CPCH02J3/004H02J3/32H02J2203/10Y02E10/56Y02E70/30
Inventor 曾凯文刘嘉宁段秦尉林斌王可杜斌
Owner GUANGDONG POWER GRID CO LTD
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