Building power utilization regulation and control method based on photovoltaic power generation prediction

Abstract

The invention relates to a building power utilization regulation and control method based on photovoltaic power generation prediction. A photovoltaic power supply module is used for generating power; the power generation data of the photovoltaic power supply module is obtained through the monitoring module, and the power consumption demand and the power consumption cost data of each load of the building and the power resource data of a third-party agent operator are obtained through the data collection module. Constructing an economic optimization model and an operation cost function by using a data construction module; establishing a Stackelberg competition model by using the operation cost function and the economic optimization model; constructing a photovoltaic power supply module output force constraint, a charging and discharging power constraint and an electric quantity balance constraint; solving the Stackelberg competition model by using a solver module, and generating optimal output power and charging and discharging power; and the regulation and control module is used for regulating and controlling electricity utilization of the building. According to the invention, not only can the photovoltaic power supply module be monitored in real time, but also the power utilization regulation and control of the building integrated photovoltaic system can be realized in a better way.

Description

Technical Field

[0001] The technical field of the present invention relates to the field of electricity consumption regulation, and specifically to a method for regulating building electricity consumption based on photovoltaic power generation prediction. Background Art

[0002] Establishing a solar photovoltaic power generation system and combining it with buildings is an innovative management model for the use of new energy. The integration of photovoltaics and buildings is the best form of promoting the use of solar photovoltaic power generation in cities, which is conducive to promoting green development in the construction field and reducing carbon emissions. However, after the application of solar photovoltaic power generation in buildings, it will affect the distribution of building electricity and the fluctuation of power consumption. The agent operator is required to coordinate the contradiction between the upper power grid and the photovoltaic building. However, there is currently no effective real-time control method for the power consumption control of the photovoltaic building integrated system. Therefore, a building power consumption control method based on photovoltaic power generation prediction is urgently needed. Summary of the invention

[0003] The present invention aims to provide a method for regulating building electricity consumption based on photovoltaic power generation prediction, so as to achieve real-time and effective regulation of electricity consumption of photovoltaic building integrated system.

[0004] The technical solution adopted by the present invention is as follows:

[0005] A method for regulating building electricity consumption based on photovoltaic power generation prediction comprises the following steps:

[0006] (1) Photovoltaic power modules are used to collect light energy and convert it into electrical energy. Photovoltaic power modules can store electrical energy or supply power to various loads in the building;

[0007] (2) Obtain the output data and charging and discharging data of the photovoltaic power module through the monitoring module, and obtain the power demand and power cost data of each load in the building and the power resource data of the third-party agent operator through the data collection module;

[0008] (3) Using the data construction module, an economic optimization model is constructed based on the data obtained by the monitoring module and the data obtained by the data collection module; an operation cost function is constructed based on the output data, charging and discharging data of the photovoltaic power module, and the power demand data and power cost data of each load; a Stackelberg competition model is established based on the operation cost function and the economic optimization model; and at the same time, the output constraint, charging and discharging power constraint, and power balance constraint of the photovoltaic power module are constructed;

[0009] (4) Using the solver module, the Stackelberg competition model is solved based on the output constraint, charge and discharge power constraint, and power balance constraint of the photovoltaic power module to generate the optimal output and charge and discharge power;

[0010] (5) Use the control module to regulate building electricity consumption based on the optimal output and charging and discharging power.

[0011] Furthermore, the monitoring module includes a collection module and a prediction module, the prediction module is used to predict the power generation data of the photovoltaic power module, and the collection module is used to obtain the power generation data of the photovoltaic power module.

[0012] Furthermore, the prediction module includes a light intensity sensor and a temperature sensor for monitoring light intensity information and temperature information respectively, and predicts the power generation of the photovoltaic power module based on the light intensity information, temperature information and the historical conversion rate of the power generation of the photovoltaic power module, and obtains output data and charging and discharging data.

[0013] Furthermore, the control module includes a central processing controller and a building load management device, and the building load management device controls the power consumption of each load after receiving the dispatching instruction from the central processing controller.

[0014] The implementation of the present invention has the following beneficial effects: by real-time monitoring and collecting the light intensity information and temperature information of the photovoltaic power module, the photovoltaic power generation is predicted, and based on the power generation prediction and the power demand of each load in the building, the power cost data and the power resource data of the third-party agent operator, a model is established to solve the optimal power control method, which can not only monitor the photovoltaic power module in real time, but also realize the power control of the photovoltaic building integrated system in a better way. DETAILED DESCRIPTION

[0015] In order to enable ordinary technicians in the field to better understand the technical problems to be solved by the present invention, the technical solutions adopted, and the technical effects achieved, the present invention will be clearly and completely described below in conjunction with specific embodiments.

[0016] The building electricity control method based on photovoltaic power generation prediction described in the present invention can be implemented through the following module functions:

[0017] Photovoltaic power module: used to collect light energy and convert it into electrical energy. Photovoltaic power module can store electrical energy or supply power to various loads in the building.

[0018] Monitoring module: used to obtain the output data and charge-discharge data of the photovoltaic power module. The monitoring module includes a collection module and a prediction module. The prediction module is used to predict the power generation data of the photovoltaic power module, and the collection module is used to obtain the power generation data of the photovoltaic power module. The prediction module includes a light intensity sensor and a temperature sensor for monitoring light intensity information and temperature information respectively. The power generation of the photovoltaic power module is predicted based on the light intensity information, temperature information and the historical conversion rate of the power generation of the photovoltaic power module, and the output data and charge-discharge data are obtained.

[0019] Data collection module: used to obtain the power demand of each load in the building, power cost data and power resource data of the third-party agent operator.

[0020] Data construction module: used to construct an economic optimization model based on the data obtained by the monitoring module and the data obtained by the data collection module; to construct an operating cost function based on the output data, charging and discharging data of the photovoltaic power module, and the power demand data and power cost data of each load; to establish a Stackelberg competition model based on the operating cost function and the economic optimization model; and to construct the output constraint, charging and discharging power constraint and power balance constraint of the photovoltaic power module at the same time.

[0021] Solver module: solves the Stackelberg competition model based on the output constraints, charge and discharge power constraints, and power balance constraints of the photovoltaic power module to generate the optimal output and charge and discharge power.

[0022] Control module: used to control the building electricity consumption according to the optimal output and charging and discharging power. The control module includes a central processing controller and a building load management device. The building load management device controls the electricity consumption of each load after receiving the dispatching instructions from the central processing controller.

[0023] The specific embodiments described above are merely illustrative examples of the present invention, and do not limit the present invention to be implemented only through the aforementioned embodiments. Based on the embodiments listed in the present invention, all other embodiments that can be obtained by ordinary technicians in this field without making creative work belong to the protection scope of the present invention.

Claims

1. A method for regulating building electricity consumption based on photovoltaic power generation prediction, characterized in that: The following steps are involved: (1) Photovoltaic power modules are used to collect light energy and convert it into electrical energy. Photovoltaic power modules can store electrical energy or supply power to various loads in the building; (2) Obtain the output data and charging and discharging data of the photovoltaic power module through the monitoring module, and obtain the power demand and power cost data of each load in the building and the power resource data of the third-party agent operator through the data collection module; (3) Using the data construction module, an economic optimization model is constructed based on the data obtained by the monitoring module and the data obtained by the data collection module; an operation cost function is constructed based on the output data, charging and discharging data of the photovoltaic power module, and the power demand data and power cost data of each load; a Stackelberg competition model is established based on the operation cost function and the economic optimization model; and at the same time, the output constraint, charging and discharging power constraint, and power balance constraint of the photovoltaic power module are constructed; (4) Using the solver module, the Stackelberg competition model is solved based on the output constraint, charge and discharge power constraint, and power balance constraint of the photovoltaic power module to generate the optimal output and charge and discharge power; (5) Use the control module to regulate building electricity consumption based on the optimal output and charging and discharging power.

2. The building electricity control method based on photovoltaic power generation prediction according to claim 1 is characterized in that: The monitoring module includes a collection module and a prediction module. The prediction module is used to predict the power generation data of the photovoltaic power module, and the collection module is used to obtain the power generation data of the photovoltaic power module.

3. The building electricity control method based on photovoltaic power generation prediction according to claim 2 is characterized in that: The prediction module includes a light intensity sensor and a temperature sensor for monitoring light intensity information and temperature information respectively. The power generation of the photovoltaic power module is predicted based on the light intensity information, temperature information and the historical conversion rate of the power generation of the photovoltaic power module, and the output data and the charging and discharging data are obtained.

4. The building electricity control method based on photovoltaic power generation prediction according to any one of claims 1 to 3, characterized in that: The control module includes a central processing controller and a building load management device. The building load management device controls the power consumption of each load after receiving the dispatching instruction from the central processing controller.