Intelligent integrated power generation and purchase plan management system

Abstract

The present invention discloses an intelligent integrated power generation and purchase plan management system, and relates to the technical field of power generation and purchase management systems. The technical key point is that by setting a data acquisition module and a data hysteresis module, a monitoring system monitors the predicted power generation of a photovoltaic power station and the power consumption of a power consumption module in real time, thereby determining the excess power, and being able to select a suitable surplus power disposal method. Through power purchase cost evaluation and sales profit evaluation, the economic benefits of power purchase and sales can be comprehensively evaluated. If the sales profit is greater than the power purchase cost, the surplus power is directly transmitted to a nearby power consumption site for sale, which can bring additional income and profit. Otherwise, the surplus power is stored through a storage system for subsequent use, thereby maximizing the use of renewable energy and improving energy utilization.

Description

Technical Field

[0001] The present invention relates to the technical field of power generation and purchase management systems, and more specifically, to an intelligent integrated power generation and purchase plan management system. Background Art

[0002] Electricity purchase refers to the act of enterprises or individuals purchasing electricity supply services. In the electricity market, power generation enterprises will sell the results of electricity generation, while electricity purchase refers to consumers signing electricity purchase contracts with power generation enterprises or power suppliers according to their own needs to obtain the required electricity supply. There are many ways to purchase electricity. For example, enterprises can sign long-term electricity purchase contracts with power generation enterprises to ensure that they have a stable electricity supply in the future. In addition, enterprises can also purchase electricity in the short or medium term through the electricity market and trade according to market prices and demand. The main purpose of electricity purchase is to meet consumers' demand for electricity and ensure the electricity supply required for their normal operation or life. Electricity purchase allows consumers to choose the right electricity supplier and choose the most competitive electricity price and service according to their own needs and budget. It should be noted that electricity purchase and power generation are corresponding concepts. Power generation refers to the production of electricity, while electricity purchase refers to the consumption of electricity. Electricity purchase is an important activity in the electricity market, which promotes exchanges and transactions between supply and demand through market mechanisms.

[0003] At present, in order to meet the needs of energy conservation and emission reduction and expand the proportion of renewable energy use, a self-sufficient energy model has been promoted and used; by building renewable energy power stations, such as solar power stations, factories can use natural resources to generate electricity and use the generated electricity directly in their own production processes. This is called a self-sufficient energy model. In this model, by building their own power stations, factories can reduce their dependence on traditional energy suppliers, reduce long-term energy costs, and reduce sensitivity to energy price fluctuations. In some factories with high energy consumption, this type of power supply method is often used, which can obtain greater benefits in the long run.

[0004] However, factories that currently use photovoltaic power generation to supply electrical equipment often directly obtain electricity from the power grid through photovoltaic grid-connected systems when the photovoltaic power generation is insufficient, or they directly store the unused electricity through energy storage systems. They fail to comprehensively consider energy storage consumption, resulting in increased electricity purchase costs and reduced economic benefits.

[0005] Therefore, in order to solve the above technical problems, this application proposes an intelligent integrated power generation and purchase plan management system. Summary of the invention

[0006] In view of the deficiencies in the prior art, the object of the present invention is to provide an intelligent integrated power generation and purchase plan management system.

[0007] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: an intelligent integrated power generation and purchase plan management system, comprising a power consumption module and a renewable energy power generation module, wherein the power consumption module is various types of power-consuming equipment in a factory, and the renewable energy power generation module is used to generate electricity through renewable energy and supply power to the power consumption module through a power transmission line, and also includes:

[0008] The data collection module is used to collect the energy consumption data of the power consumption module, and the data collection module is also connected to the meteorological department through an interface to obtain the meteorological data for the next week, and clean the collected data to remove noise data and abnormal values;

[0009] The data processing module is used to calculate the predicted power generation of the renewable energy power generation module in the following week and the power consumption of the power consumption module in the following week through the daily meteorological data predicted by the meteorological department, and then find out whether the sum of the predicted power generation in the week is greater than the sum of the daily power consumption in the week. If so, it means that the supply exceeds the demand, and the surplus power processing stage is carried out. If not, it means that the supply is less than the demand, and the required power is obtained from the power grid in real time through the photovoltaic grid-connected system;

[0010] Surplus electric energy disposal stage: Dispose of the daily surplus electricity based on the difference between the daily predicted power generation and the daily electricity consumption. The disposal methods include but are not limited to storing the surplus electricity through energy storage devices and transmitting the daily surplus electricity to other electricity consumption sites to obtain electricity revenue. When selecting the disposal method, the optimal disposal method is selected through the disposal method selection calculation method.

[0011] Preferably, the specific method of the surplus electric energy disposal stage is divided into the following steps:

[0012] A: When dealing with the daily remaining power, first calculate the remaining power using the following formula:

[0013] ε=|α-β

[0014] Among them, α is the daily predicted power generation, β is the power usage, and ε is the remaining power on that day;

[0015] B: After the remaining electric energy is calculated, the optimal disposal method is selected through the disposal method selection calculation method. First, the power loss when the remaining electric energy ε needs to be stored is calculated by the following formula:

[0016] λ=ε×(1-SYO)

[0017] Among them, λ is the storage loss, ε is the remaining energy, S is the charge and discharge efficiency, Y is the time decay loss, O is the temperature loss, and then the actual energy that can be output after the remaining energy is stored for a period of time is calculated by the following formula:

[0018] K=ε-λ

[0019] Wherein, K is the actual usable electric energy that can be output after the residual electric energy is stored in the energy storage system for a period of time, ε is the residual electric energy, and λ is the storage loss;

[0020] C: After calculating the value of K, the resources required to purchase the actual usable electric energy K that can be output are calculated using the following formula:

[0021] Purchase consumption = K × M1

[0022] Wherein, K is the actual usable electric energy that can be output after the surplus electric energy is stored in the energy storage system for a period of time, and M1 is the local electricity price;

[0023] D: Calculate the benefits of transferring the surplus electric energy ε to other electricity consumption sites in the following way:

[0024] Step 1: Calculate the transmission loss of the surplus electric energy ε to other power consumption places using the following formula:

[0025] Transmission loss = P 2 ×(R+X)×L×t

[0026] Among them, P is the effective power, R is the resistance of the transmission line, X is the comprehensive impedance of the transmission line, including the influence of inductance and capacitance on transmission, L is the line length, and t is the transmission time;

[0027] Step 2: Based on the calculated transmission loss value, the actual power obtained by other power consumption sites when the remaining power ε is transmitted to other power consumption sites is calculated using the following formula:

[0028] Actual transmitted power = ε-transmission loss

[0029] Then, based on the local electricity price, the actual profit is calculated using the following formula:

[0030] Actual revenue = actual power transmission × M2

[0031] Among them, M2 is the sales price of electricity transmitted by the factory to other power users;

[0032] E: Compare the purchase consumption with the actual benefits to find out whether the purchase consumption is greater than the actual benefits. If so, choose to store the remaining electricity through the energy storage system. If not, choose to transmit the remaining electricity to other electricity consumption places.

[0033] Preferably, the specific calculation method of the comprehensive impedance X of the transmission line in step 1 is:

[0034]

[0035] Among them, XL is the inductive impedance of the line, XC is the capacitive impedance of the circuit, and R is the resistance value of the transmission line.

[0036] Preferably, the meteorological data collected by the data collection module includes but is not limited to temperature data, light intensity, and light time.

[0037] Compared with the prior art, the present invention has the following beneficial effects:

[0038] In the present invention, the predicted power generation of the photovoltaic power station and the power consumption of the power consumption module are monitored in real time by the monitoring system, so as to determine the excess power and select a suitable method for disposing of the excess power. The economic benefits of purchasing and selling power can be comprehensively evaluated through the evaluation of power purchase costs and sales profits. If the sales profit is greater than the power purchase cost, the surplus power can be directly delivered to nearby power consumption sites for sale, which can bring in additional income and profits. Otherwise, the excess power can be stored through a storage system for subsequent use, thereby maximizing the use of renewable energy and improving energy utilization. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0040] Figure 1 This is a system block diagram of the intelligent integrated power generation and purchase plan management system of the present invention. DETAILED DESCRIPTION

[0041] As shown in the system block diagram of the present invention, the present invention provides an intelligent integrated power generation and purchase plan management system, which includes a power consumption module and a renewable energy power generation module, wherein the power consumption module is various types of power-consuming equipment in the factory, and the renewable energy power generation module is used to generate electricity through renewable energy and supply power to the power consumption module through a power transmission line. The invention also includes:

[0042] A data collection module is used to collect energy consumption data of the power consumption module. The data collection module is also connected to the meteorological department through an interface to obtain meteorological data for the following week, and clean the collected data to remove noise data and abnormal values. The meteorological data collected by the data collection module includes but is not limited to temperature data, light intensity, and light time;

[0043] First, for the energy consumption data of the power consumption module and the meteorological data, the Aver algorithm is used to identify and fill in missing values ​​(the filling is mainly based on the median statistical field in the Aver algorithm and the KNN prediction model) to ensure the integrity of the data set. Then, the Z-Score (standard score method) and IQR (interquartile range method) algorithms are used to filter out special and abnormal data in the data set that do not have common reference value. According to business rules, data correction is performed on the abnormal data, and values ​​with excessive abnormality are considered to be eliminated, and then valuable data is obtained:

[0044] The data processing module is used to calculate the predicted power generation of the renewable energy power generation module in the following week and the power consumption of the power consumption module in the following week through the daily meteorological data predicted by the meteorological department, and then find out whether the sum of the predicted power generation in the week is greater than the sum of the daily power consumption in the week. If so, it means that the supply exceeds the demand, and the surplus power processing stage is carried out. If not, it means that the supply is less than the demand, and the required power is obtained from the power grid in real time through the photovoltaic grid-connected system;

[0045] Among them, the method for predicting the power generation of photovoltaic power generation through meteorological data is:

[0046] Photovoltaic power generation = light intensity × photovoltaic cell module area × photovoltaic module conversion efficiency × total loss coefficient;

[0047] Light intensity refers to the energy of solar radiation per unit area, usually expressed as the amount of solar energy received per unit area, in watts per square meter, W / m 2 , Photovoltaic module conversion efficiency: the efficiency of photovoltaic cell modules in converting solar radiation into electrical energy, expressed in percentage form. The total loss coefficient includes the comprehensive coefficient of various losses such as photovoltaic module temperature loss, shadow loss, line loss, reflection loss, and device loss, also expressed in percentage form. Considering that photovoltaic power generation requires regular maintenance, if regular maintenance is encountered when calculating the photovoltaic power generation in the next week, the maintenance time needs to be subtracted before calculating the photovoltaic power generation.

[0048] Surplus power disposal stage: Dispose of the daily surplus power according to the difference between the daily predicted power generation and the daily power consumption. The disposal methods include but are not limited to storing the surplus power through power storage equipment and transmitting the daily surplus power to other power consumption sites to obtain power benefits. When selecting the disposal method, the optimal disposal method is selected through the disposal method selection calculation method;

[0049] The specific methods of the surplus power disposal stage are divided into the following steps:

[0050] A: When dealing with the daily remaining power, first calculate the remaining power using the following formula:

[0051] ε=|α-β

[0052] Among them, α is the daily predicted power generation, β is the power usage, and ε is the remaining power on that day;

[0053] B: After the remaining electric energy is calculated, the optimal disposal method is selected through the disposal method selection calculation method. First, the power loss when the remaining electric energy ε needs to be stored is calculated by the following formula:

[0054] λ=ε×(1-SYO)

[0055] Among them, λ is the storage loss, ε is the remaining electric energy, S is the charge and discharge efficiency, Y is the time decay loss, and O is the temperature loss. It should be noted that the energy storage system can be a lithium-ion battery energy storage system, a pumped storage system, or a fuel cell energy storage system. Different charging and discharging efficiency coefficients are selected according to different types of energy storage systems. For example, the energy conversion efficiency of the pumped storage system is 70% to 85%, and because the electrical energy is converted into the potential energy of water, it will not decrease over time. Therefore, the energy loss formula of the pumped storage system is:

[0056] λ=ε×ρ

[0057] Wherein, λ is the power storage loss, ε is the residual power, ρ is the energy conversion efficiency of the pumped storage system, and the above energy storage systems are all existing technologies, and the details are not repeated here;

[0058] Then the actual electric energy that can be output after the remaining electric energy is stored for a period of time is calculated by the following formula:

[0059] K=ε-λ

[0060] Among them, K is the actual usable electric energy that can be output after the surplus electric energy is stored in the energy storage system for a period of time, ε is the surplus electric energy, and λ is the storage loss. According to the actual needs of the factory, building different energy storage systems will help reduce energy consumption;

[0061] C: After calculating the value of K, the resources required to purchase the actual usable electric energy K that can be output are calculated using the following formula:

[0062] Purchase consumption = K × M1

[0063] Wherein, K is the actual usable electric energy that can be output after the surplus electric energy is stored in the energy storage system for a period of time, and M1 is the local electricity price;

[0064] D: Calculate the benefits of transferring the surplus electric energy ε to other electricity consumption sites in the following way:

[0065] Step 1: Calculate the transmission loss of the surplus electric energy ε to other power consumption places using the following formula:

[0066] Transmission loss = P 2 ×(R+X)×L×t

[0067] 4. Where P is the effective power, R is the resistance of the transmission line, X is the comprehensive impedance of the transmission line, including the influence of inductance and capacitance on transmission, L is the line length, t is the transmission time, and the specific calculation method of the comprehensive impedance X of the transmission line is:

[0068]

[0069] Among them, XL is the inductive impedance of the line, XC is the capacitive impedance of the circuit, and R is the resistance value of the transmission line;

[0070] Step 2: Based on the calculated transmission loss value, the actual power obtained by other power consumption sites when the remaining power ε is transmitted to other power consumption sites is calculated using the following formula:

[0071] Actual transmitted power = ε-transmission loss

[0072] Then, based on the local electricity price, the actual profit is calculated using the following formula:

[0073] Actual revenue = actual power transmission × M2

[0074] Among them, M2 is the sales price of electricity transmitted by the factory to other power users;

[0075] E: Compare the purchase consumption with the actual benefits to find out whether the purchase consumption is greater than the actual benefits. If so, choose to store the remaining electricity through the energy storage system. If not, choose to transmit the remaining electricity to other electricity consumption places.

[0076] The above description is only a preferred embodiment of the present invention and does not limit the present invention in any form. Any ordinary technician in the industry can smoothly implement the present invention as shown in the drawings and described above. However, any equivalent changes, modifications and evolutions made by technicians familiar with the profession without departing from the scope of the technical solution of the present invention using the technical content disclosed above are all equivalent embodiments of the present invention. At the same time, any equivalent changes, modifications and evolutions made to the above embodiments based on the essential technology of the present invention are still within the protection scope of the technical solution of the present invention.

Claims

1. Intelligent integrated power generation and purchase plan management system, including power consumption module and renewable energy power generation module, among which: The power consumption module is various types of power-consuming equipment in the factory. The renewable energy generation module is used to generate electricity through renewable energy and supply power to the power consumption module through the power transmission line. It is characterized by: The data collection module is used to collect the energy consumption data of the power consumption module, and the data collection module is also connected to the meteorological department through an interface to obtain the meteorological data for the next week, and clean the collected data to remove noise data and abnormal values; The data processing module is used to calculate the predicted power generation of the renewable energy power generation module in the following week and the power consumption of the power consumption module in the following week through the daily meteorological data predicted by the meteorological department, and then find out whether the sum of the predicted power generation in the week is greater than the sum of the daily power consumption in the week. If so, it means that the supply exceeds the demand, and the surplus power processing stage is carried out. If not, it means that the supply is less than the demand, and the required power is obtained from the power grid in real time through the photovoltaic grid-connected system; Surplus electric energy disposal stage: Dispose of the daily surplus electricity based on the difference between the daily predicted power generation and the daily electricity consumption. The disposal methods include but are not limited to storing the surplus electricity through energy storage devices and transmitting the daily surplus electricity to other electricity consumption sites to obtain electricity revenue. When selecting the disposal method, the optimal disposal method is selected through the disposal method selection calculation method.

2. The intelligent integrated power generation and purchase plan management system according to claim 1 is characterized by: The specific method of the residual electric energy disposal stage is divided into the following steps: A: When dealing with the daily remaining power, first calculate the remaining power using the following formula: ε=|α-β Among them, α is the daily predicted power generation, β is the power usage, and ε is the remaining power on that day; B: After the remaining electric energy is calculated, the optimal disposal method is selected through the disposal method selection calculation method. First, the power loss when the remaining electric energy ε needs to be stored is calculated by the following formula: λ=ε×(1-SYO) Among them, λ is the storage loss, ε is the remaining electric energy, S is the charge and discharge efficiency, Y is the time decay loss, O is the temperature loss, and then the actual electric energy that can be output after the remaining electric energy is stored for a period of time is calculated by the following formula: K=ε-λ Wherein, K is the actual usable electric energy that can be output after the residual electric energy is stored in the energy storage system for a period of time, ε is the residual electric energy, and λ is the storage loss; C: After calculating the value of K, the resources required to purchase the actual usable electric energy K that can be output are calculated using the following formula: Purchase consumption = K × M1 Wherein, K is the actual usable electric energy that can be output after the surplus electric energy is stored in the energy storage system for a period of time, and M1 is the local electricity price; D: Calculate the benefits of transferring the surplus electric energy ε to other electricity consumption sites in the following way: Step 1: Calculate the transmission loss of the surplus electric energy ε to other power consumption places using the following formula: Transmission loss = P 2 ×(R+X)×L×t Among them, P is the effective power, R is the resistance of the transmission line, X is the comprehensive impedance of the transmission line, including the influence of inductance and capacitance on transmission, L is the line length, and t is the transmission time; Step 2: Based on the calculated transmission loss value, the actual power obtained by other power consumption sites when the remaining power ε is transmitted to other power consumption sites is calculated using the following formula: Actual transmitted power = ε-transmission loss Then, based on the local electricity price, the actual profit is calculated using the following formula: Actual revenue = actual power transmission × M2 Among them, M2 is the sales price of electricity transmitted by the factory to other power users; E: Compare the purchase consumption with the actual benefits to find out whether the purchase consumption is greater than the actual benefits. If so, choose to store the remaining electricity through the energy storage system. If not, choose to transmit the remaining electricity to other electricity consumption places.

3. The intelligent integrated power generation and purchase plan management system according to claim 2 is characterized by: The specific calculation method of the comprehensive impedance X of the transmission line in step 1 is: Among them, XL is the inductive impedance of the line, XC is the capacitive impedance of the circuit, and R is the resistance value of the transmission line.

4. The intelligent integrated power generation and purchase plan management system according to claim 1 is characterized by: The meteorological data collected by the data collection module include but are not limited to temperature data, light intensity, and light time.

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