CN-121485067-B - Optical storage and filling scheduling control system and method

CN121485067BCN 121485067 BCN121485067 BCN 121485067BCN-121485067-B

Abstract

The application relates to an optical storage and filling scheduling control system and method. The system comprises a photovoltaic module, an energy storage module, charging equipment, a measurement module, a dispatching controller and a cloud platform. The dispatching controller executes the steps of processing a historical data feature library based on a charging load prediction algorithm and a photovoltaic power generation prediction algorithm, outputting a prediction result in a future period of time, generating the historical data feature library by processing historical data, period information and meteorological data, acquiring the energy storage and storage electric quantity required in the low valley period and the energy storage and storage electric quantity required in the flat period according to the prediction result, and dispatching the photovoltaic module, the energy storage module and the charging equipment based on the energy storage and storage electric quantity required in the low valley period and the energy storage and storage electric quantity required in the flat period. The energy storage capacity planning and weather condition linkage is realized, the history data, the time period information and the meteorological data are fully utilized to predict the energy storage, so that photovoltaic surplus is fully consumed in sunny days, load fluctuation is effectively stabilized in rainy days, and energy waste and power grid impact are avoided.

Inventors

ZHANG SICHENG
ZENG ZHILI
ZHANG CHAO
LIU HONGYUN
LIU CHEN

Assignees

深圳市丁旺科技有限公司
云南丁旺科技有限公司
广东丁旺科技有限公司

Dates

Publication Date: 20260505
Application Date: 20260105

Claims (6)

1. The optical storage and charge scheduling control system is characterized by comprising a photovoltaic module, an energy storage module, charging equipment, a measurement module, a scheduling controller and a cloud platform; The photovoltaic module is respectively and electrically connected with the energy storage module and the charging equipment, and the photovoltaic module, the energy storage module and the charging equipment are connected to a power grid; The dispatching controller, the photovoltaic module, the energy storage module and the charging equipment are in communication connection, and the dispatching controller is also in communication connection with the cloud platform and the measuring module, wherein the cloud platform is used for being in communication connection with a weather service interface; wherein the scheduling controller performs the steps of: Processing a historical data feature library based on a charging load prediction algorithm and a photovoltaic power generation prediction algorithm, and outputting a prediction result in a future period of time, wherein the historical data feature library is generated by processing historical data, period information and meteorological data; The method comprises the steps of obtaining the energy storage required and stored electric quantity in a valley period and the energy storage required and stored electric quantity in a flat period according to a prediction result, wherein the steps specifically comprise correspondingly dividing the prediction electric quantity and the prediction electric quantity into the prediction electric quantity and the prediction electric quantity in each unit time, obtaining a photovoltaic power consumption correction coefficient and a load power supply correction coefficient, dividing the future period into a plurality of parts, calculating a first net photovoltaic surplus electric quantity corresponding to the unit time according to the prediction electric quantity and the prediction electric quantity before the electric peak period, correcting the first net photovoltaic surplus electric quantity by using the photovoltaic power consumption correction coefficient, obtaining a first photovoltaic electric quantity before the electric peak period, calculating a charging load net required electric quantity corresponding to the unit time according to the prediction electric quantity and the prediction electric quantity in the electric peak period, correcting the charging load net required electric quantity by using the load power supply correction coefficient, obtaining a total power supply gap in the electric peak period, obtaining a second net photovoltaic surplus electric quantity corresponding to the prediction electric quantity in the electric peak period, and obtaining a second photovoltaic surplus electric quantity corresponding to the prediction electric quantity in the electric peak period; The method comprises the specific steps of calculating and obtaining the energy storage electric quantity required in the low valley period and the energy storage electric quantity required in the flat period according to the first photovoltaic generated energy, the total power supply gap and the second photovoltaic generated energy, determining that the energy storage electric quantity required in the low valley period is the difference value between the total power supply gap and the first photovoltaic generated energy if the difference value between the total power supply gap and the first photovoltaic generated energy is judged to be positive and the difference value between the rated capacity of the energy storage module and the first photovoltaic generated energy is larger than the difference value between the rated capacity of the energy storage module and the first photovoltaic generated energy, determining that the energy storage electric quantity required in the low valley period is the difference value between the rated capacity of the energy storage module and the first photovoltaic generated energy if the difference value between the rated capacity of the energy storage module and the first photovoltaic generated energy is smaller than the total gap, determining that the energy storage electric quantity required in the flat period is zero if the difference value between the total power supply gap and the first photovoltaic generated energy is judged to be smaller than the required in the flat period; And scheduling the photovoltaic module, the energy storage module and the charging equipment based on the energy storage and storage capacity required in the off-peak period and the energy storage and storage capacity required in the flat period.
2. The optical storage and charge scheduling control system according to claim 1, wherein in the step of processing a history data feature library based on a charge load prediction and photovoltaic power generation prediction algorithm and outputting a prediction result in a future period of time, the scheduling controller performs the steps of: based on the charging load prediction and photovoltaic power generation prediction algorithm, historical average power consumption of the same type of time period in a future period is screened out from the historical data feature library, and the historical average power consumption is corrected by using a first correction coefficient to obtain predicted power consumption; And screening historical average power generation of the same weather grade in a future period from the historical data feature library based on the charging load prediction and photovoltaic power generation prediction algorithm, and correcting the historical average power generation by using a second correction coefficient to obtain predicted power generation.
3. The optical storage and charge scheduling control system according to claim 1 or 2, wherein, before the step of processing the history data feature library based on the charge load prediction and photovoltaic power generation prediction algorithm, and outputting the prediction result for a period of time in the future, the scheduling controller further performs the steps of: Sending an authentication request to the cloud platform to request the cloud platform to verify identity; receiving a historical data acquisition instruction sent when the cloud platform passes the identity verification; Responding to the historical data acquisition instruction, acquiring historical data corresponding to the photovoltaic module and the charging equipment, and uploading the historical data to the cloud platform to instruct the cloud platform to process the historical data, the time period information and the weather data based on a time period judgment rule and a weather classification standard to obtain the historical data feature library; and receiving the historical data feature library sent by the cloud platform.
4. The optical storage and charge scheduling control system according to claim 1 or 2, wherein, before the step of processing the history data feature library based on the charge load prediction and photovoltaic power generation prediction algorithm, and outputting the prediction result for a period of time in the future, the scheduling controller further performs the steps of: Sending an authentication request to the cloud platform to request the cloud platform to verify identity; receiving a historical data acquisition instruction, weather data, a period judgment rule and a weather classification standard which are transmitted when the cloud platform passes the identity verification; Responding to the historical data acquisition instruction, and acquiring historical data corresponding to the photovoltaic module and the charging equipment; and processing the historical data, the time period information and the weather data based on the time period judging rule and the weather grading standard to obtain the historical data feature library.
5. The optical storage and inflation scheduling control system according to claim 1 or 2, wherein the scheduling controller comprises a core control module, an analysis module, a state monitoring module, a prediction calculation module, a parameter configuration module, a co-scheduling module, a first communication module and a second communication module; The core control module is respectively connected with the analysis module, the state monitoring module, the prediction calculation module, the parameter configuration module, the cooperative scheduling module and the first communication module, wherein the first communication module is in communication connection with the cloud platform; the second communication module is respectively and electrically connected with the state monitoring module and the cooperative scheduling module, and is respectively and communicatively connected with the photovoltaic module, the energy storage module and the charging equipment; The prediction calculation module processes a historical data feature library based on a charging load prediction algorithm and a photovoltaic power generation prediction algorithm, and outputs a prediction result in a future period of time, wherein the historical data feature library is generated by processing historical data and gas image data; The collaborative scheduling module obtains the electricity quantity to be stored in the valley period and the electricity quantity to be stored in the flat period according to the prediction result, and schedules the photovoltaic module, the energy storage module and the charging equipment based on the electricity quantity to be stored in the valley period and the electricity quantity to be stored in the flat period.
6. An optical storage and filling scheduling control method applied to the optical storage and filling scheduling control system according to any one of claims 1 to 5, and is characterized by comprising the following steps: processing a historical data feature library based on a charging load prediction algorithm and a photovoltaic power generation prediction algorithm, and outputting a prediction result in a future period of time, wherein the historical data feature library is generated by processing historical data, period information and meteorological data; And acquiring the electricity quantity required to be stored in the low valley period and the electricity quantity required to be stored in the flat period according to the prediction result, and scheduling the photovoltaic module, the energy storage module and the charging equipment based on the electricity quantity required to be stored in the low valley period and the electricity quantity required to be stored in the flat period.

Description

Optical storage and filling scheduling control system and method Technical Field The application relates to the technical field of new energy light storage and charging, in particular to a light storage and charging scheduling control system and method. Background An integrated photo-charging Station (Photovoltaic-Energy Storage-CHARGING INTEGRATED Station, abbreviated as PV-ESS-PCS Station) is a novel Energy service facility integrating three core functions of Photovoltaic power generation (light), energy Storage system (Storage) and electric automobile charging (charging). The core logic of the system is that solar energy is converted into electric energy through a photovoltaic module, a part of the electric energy is directly supplied to an electric automobile for charging, redundant electric energy is stored in an energy storage system, when peak electricity utilization or photovoltaic power supply is insufficient, the energy storage system releases electric energy to supplement power supply, and meanwhile, the system can intelligently interact with a power grid, so that 'self-power utilization, residual electricity surfing, peak clipping and valley filling' are realized, and pain points of a traditional charging station 'depending on the power grid, large load impact, low clean energy utilization rate' and the like are solved. With the popularization of new energy automobiles and the wide application of distributed photovoltaics, a light storage and charge integrated charging station has become a core carrier for Vehicle-to-Grid (V2G). However, the existing light storage and charging integrated charging station cannot fully absorb photovoltaic surplus on sunny days, load fluctuation cannot be effectively stabilized on rainy days, energy waste and power grid impact are caused, and energy utilization efficiency is low. Disclosure of Invention Accordingly, it is necessary to provide a light storage and charge scheduling control system and method capable of improving the energy utilization rate and avoiding the impact of the power grid. The optical storage charging dispatching control system comprises a photovoltaic module, an energy storage module, charging equipment, a measuring module, a dispatching controller and a cloud platform; The photovoltaic module is respectively and electrically connected with the energy storage module and the charging equipment, and the photovoltaic module, the energy storage module and the charging equipment are connected to a power grid; The dispatching controller is also in communication connection with the cloud platform and the measurement module, and the cloud platform is used for being in communication connection with a weather service interface; Wherein the scheduling controller performs the steps of: based on the charge load prediction and photovoltaic power generation prediction algorithm, processing a historical data feature library, and outputting a prediction result in a future period of time, wherein the historical data feature library is generated by processing historical data, period information and meteorological data; And according to the prediction result, acquiring the electricity quantity required to be stored in the low-valley period and the electricity quantity required to be stored in the flat period, and scheduling the photovoltaic module, the energy storage module and the charging equipment based on the electricity quantity required to be stored in the low-valley period and the electricity quantity required to be stored in the flat period. In one embodiment, in the step of processing the historical data feature library based on the charge load prediction and photovoltaic power generation prediction algorithm and outputting the prediction result in a future period of time, the scheduling controller performs the steps of: Based on a charging load prediction algorithm and a photovoltaic power generation prediction algorithm, historical average power consumption of the same type of time period is screened from a historical data feature library, and the historical average power consumption is corrected by using a first correction coefficient to obtain predicted power consumption; And screening historical average power generation of the same weather level from a historical data feature library based on the charge load prediction and photovoltaic power generation prediction algorithm, and correcting the historical average power generation by using a second correction coefficient to obtain the predicted power generation. In one embodiment, according to the prediction result, in the step of obtaining the energy storage and storage capacity required in the off-peak period and the energy storage and storage capacity required in the flat period, the scheduling controller performs the following steps: and acquiring the energy storage and electric quantity required by the valley period and the energy storage and electric quantity required by the flat period accordi