Energy storage structure simulation regulation and control method and system based on zero carbon rate

Abstract

The invention provides a zero-carbon-rate-based energy storage structure simulation regulation and control method, which comprises the following steps of: acquiring daily frozen electricity consumption of a gateway electric energy meter at a transformer, and establishing a zero-carbon-gap-based energy storage structure simulation model by taking the daily frozen electricity consumption as a zero-carbon gap; acquiring total load curve data of the current distribution transformer district through an electricity consumption information acquisition part, and calculating the total distributed photovoltaic pre-estimated construction power generation power of the current distribution transformer district according to the zero carbon gap and the total load curve data; acquiring daily load curve data of the current distribution transformer district through an electricity utilization information acquisition part, and calculating energy storage structure construction configuration capacity of the current distribution transformer district according to the daily load curve data; and acquiring electrical load data of the current distribution transformer district, importing the electrical load data into the energy storage structure simulation model for simulation, comparing a simulation result with the sum of distributed photovoltaic pre-estimated construction power generation power and the construction configuration capacity of the energy storage structure, and regulating and controlling the energy storage structure according to a comparison result.

Description

Technical Field

[0001] The present invention belongs to the technical field of power marketing and metering, and in particular relates to a method and system for simulating and controlling an energy storage structure based on a zero-carbon rate. Background Art

[0002] The integration of distributed power sources, such as photovoltaics and energy storage, promises significant technological innovation and economic benefits for regional distribution networks. However, integrating distributed power sources without optimizing their capacity and installation location can negatively impact voltage characteristics and increase network losses. Existing technologies often employ genetic algorithms and particle swarm optimization to address the challenges of optimizing the location and capacity of distributed power sources in distribution networks, but these approaches present significant computational complexity. Summary of the Invention

[0003] In order to solve the above technical problems, the present invention provides a zero-carbon rate-based energy storage structure simulation control method and system, which can improve power quality, reduce voltage fluctuations and network losses in power devices, and improve the stability of power devices, and is simple to calculate.

[0004] The present invention specifically provides a zero-carbon rate-based energy storage structure simulation control method, and the power system state assessment method includes the following steps:

[0005] S1, obtaining the daily frozen electricity consumption of the gateway electricity meter at the transformer through the electricity consumption information collection center, taking the daily frozen electricity consumption as the zero-carbon gap, and establishing an energy storage structure simulation model based on the zero-carbon gap in the current distribution transformer area;

[0006] S2, collecting total load curve data of the current distribution and transformation area through the electricity consumption information collection point, and calculating the total estimated construction power generation power of distributed photovoltaics in the current distribution and transformation area based on the zero-carbon gap and the total load curve data;

[0007] S3, collecting daily load curve data of the current distribution transformer area through the power consumption information collection unit, and calculating the energy storage structure construction configuration capacity of the current distribution transformer area based on the daily load curve data;

[0008] S4, obtaining the current power load data of the distribution substation, importing the power load data into the energy storage structure simulation model for simulation, and comparing the simulation results with the total estimated construction power generation of the distributed photovoltaic and the energy storage structure construction configuration capacity, and regulating the energy storage structure according to the comparison results.

[0009] Furthermore, the distribution substation area is composed of basic power loads, distributed photovoltaic power generation, electric vehicle charging piles and energy storage structures.

[0010] Furthermore, the total estimated construction power generation power of distributed photovoltaics in the current distribution transformer area is calculated based on the zero-carbon gap and total load curve data, specifically including: collecting the daily power generation curve of distributed photovoltaics in the current distribution transformer area from the electricity consumption information collection point, and calculating the estimated value of the total estimated construction power generation power of distributed photovoltaics in the current distribution transformer area through the daily power generation curve of distributed photovoltaics in the current distribution transformer area; obtaining historical data of distributed photovoltaic power generation, establishing a distributed photovoltaic power generation prediction model, inputting the historical data into the distributed photovoltaic power generation prediction model for training, and inputting the distributed photovoltaic power generation data of the prediction day into the trained distributed photovoltaic power generation prediction model to obtain the distributed photovoltaic power generation power curve of the prediction day, and optimizing the estimated value of the daily power generation of the distributed photovoltaics through the distributed photovoltaic power generation power curve; obtaining the total estimated construction power generation power of distributed photovoltaics in the current distribution transformer area according to the distributed photovoltaic power generation power curve, and comparing the estimated value of the daily power generation of the distributed photovoltaics with the total estimated construction power of the distributed photovoltaics.

[0011] Furthermore, the energy storage structure construction configuration capacity of the current distribution transformer area is calculated based on the daily load curve data, specifically including: collecting the load curve data of the current distribution transformer area from the electricity consumption information collection point, and calculating the estimated capacity of the energy storage structure for one day through the load curve data; dividing the charging and discharging process of the estimated capacity of the energy storage structure for one day into multiple intervals at intervals of 15 minutes, wherein each interval can only have one state, and accumulating each interval in units of time to obtain the capacity of each interval; selecting the interval with the largest capacity as the energy storage structure construction configuration capacity of the current distribution transformer area.

[0012] Furthermore, the total estimated construction power generation power of the distributed photovoltaic and the construction configuration capacity of the energy storage structure are imported into the energy storage structure simulation model for simulation, specifically including: selecting the energy coordinated operation and control target of the current distribution and transformation substation through the energy storage structure simulation model, wherein the energy coordinated operation and control target includes: maximizing photovoltaic absorption, minimizing load variance and minimizing the square of load change; collecting the basic load daily data, electric vehicle load daily data and distributed photovoltaic load daily data of the current distribution and transformation substation from the electricity consumption information collection point and inputting them into the energy storage structure simulation model for simulation.

[0013] Furthermore, the present invention proposes a zero-carbon rate-based energy storage structure simulation and control system, comprising: a modeling module, the modeling module being used to obtain the daily frozen electricity consumption of the gateway electricity meter at the transformer through the electricity consumption information collection point, taking the daily frozen electricity consumption as the zero-carbon gap, and establishing an energy storage structure simulation model of the current distribution transformer area based on the zero-carbon gap; a first calculation module, the first calculation module being used to collect the total load curve data of the current distribution transformer area through the electricity consumption information collection point, and calculate the total estimated construction power generation power of the distributed photovoltaic in the current distribution transformer area based on the zero-carbon gap and the total load curve data; a second calculation module, the second calculation module being used to collect the daily load curve data of the current distribution transformer area through the electricity consumption information collection point, and calculate the energy storage structure construction configuration capacity of the current distribution transformer area based on the daily load curve data; a control module, the control module being used to obtain the electricity load data of the current distribution transformer area, import the electricity load data into the energy storage structure simulation model for simulation, and compare the simulation results with the total estimated construction power generation power of the distributed photovoltaic and the energy storage structure construction configuration capacity, and control the energy storage structure according to the comparison results.

[0014] Furthermore, the distribution substation area is composed of basic power loads, distributed photovoltaic power generation, electric vehicle charging piles and energy storage structures.

[0015] Furthermore, the first calculation module is also used to: collect the daily power generation curve of the distributed photovoltaic in the current distribution transformer area from the electricity consumption information collection point, and calculate the estimated value of the total construction power generation power of the distributed photovoltaic in the current distribution transformer area through the daily power generation curve of the distributed photovoltaic in the current distribution transformer area; obtain historical data of distributed photovoltaic power generation, establish a distributed photovoltaic power generation prediction model, input the historical data into the distributed photovoltaic power generation prediction model for training, and input the distributed photovoltaic power generation data of the prediction day into the trained distributed photovoltaic power generation prediction model to obtain the distributed photovoltaic power generation power curve of the prediction day, and optimize the estimated value of the daily power generation of the distributed photovoltaic through the distributed photovoltaic power generation power curve; obtain the total estimated construction power generation power of the distributed photovoltaic in the current distribution transformer area according to the distributed photovoltaic power generation power curve, and compare the estimated value of the daily power generation of the distributed photovoltaic with the total estimated construction power generation power of the distributed photovoltaic.

[0016] Furthermore, the second calculation module is also used to: collect the load curve data of the current distribution transformer area from the electricity consumption information collection point, and calculate the estimated capacity of the energy storage structure for one day's operating power curve through the load curve data; divide the charging and discharging process of the estimated capacity of the energy storage structure for one day's operating power curve into multiple intervals with an interval of 15 minutes, where each interval can only have one state, and accumulate each interval in units of time to obtain the capacity of each interval; select the interval with the largest capacity as the energy storage structure construction configuration capacity of the current distribution transformer area.

[0017] Furthermore, the energy coordinated operation control target of the current distribution and transformation substation is selected through the energy storage structure simulation model, wherein the energy coordinated operation control target includes: maximizing photovoltaic absorption, minimizing load variance and minimizing the square of load change; the basic load daily data, electric vehicle load daily data and distributed photovoltaic load daily data of the current distribution and transformation substation are collected from the electricity consumption information collection point and input into the energy storage structure simulation model for simulation.

[0018] Compared with the existing technology, the beneficial effect is: the present invention takes the daily frozen electricity consumption of the gateway electricity meter at the transformer as the zero-carbon gap, establishes a zero-carbon gap-based energy storage structure simulation model, and then collects the total load curve data of the current distribution transformer area, and calculates the total distributed photovoltaic estimated construction power generation power according to the zero-carbon gap and the total load curve data, and collects the daily load curve data of the current distribution transformer area, and calculates the energy storage structure construction configuration capacity according to the daily load curve data, and finally obtains the electricity load data of the current distribution transformer area, imports the electricity load data into the energy storage structure simulation model for simulation, and compares the simulation results with the total distributed photovoltaic estimated construction power generation power and the energy storage structure construction configuration capacity, and regulates the energy storage structure according to the comparison results. As a result, it can improve the power quality, reduce the problems of voltage fluctuation and network loss in the power device, improve the stability of the power device, and the calculation is simple. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 This is a flow chart of a method for simulating and controlling an energy storage structure based on zero carbon rate according to the present invention;

[0020] Figure 2 A diagram showing simulation results of an energy storage structure simulation model according to a specific embodiment of the present invention;

[0021] Figure 3 Schematic diagram of a block diagram of a zero-carbon rate energy storage structure simulation and control system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0022] The following, in conjunction with the accompanying drawings, describes in detail the specific implementation of a method and system for simulating and controlling an energy storage structure based on a zero-carbon rate. Obviously, the embodiments described are only a portion of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0023] Figure 1 This is a flow chart of a zero-carbon rate energy storage structure simulation and control method according to an embodiment of the present invention.

[0024] like Figure 1 As shown, the zero-carbon rate energy storage structure simulation control method of the embodiment of the present invention includes the following steps:

[0025] S1, obtain the daily frozen electricity consumption of the gateway electricity meter at the transformer through the electricity consumption information collection point, use the daily frozen electricity consumption as the zero-carbon gap, and establish a zero-carbon gap-based energy storage structure simulation model for the current distribution transformer area.

[0026] Specifically, power data collection equipment such as electricity meters and collectors can be installed on the transformers in the distribution substation area and at each power branch node, and real-time data and historical curve data such as the electric vehicle load, basic load and distributed photovoltaic power generation in the current distribution substation area can be obtained through on-site power consumption information collection equipment and remote master stations. The composition of the distribution substation area may include basic power load, distributed photovoltaic power generation, electric vehicle charging piles and energy storage structures.

[0027] S2, collects the total load curve data of the current distribution and transformation area through the electricity consumption information collection point, and calculates the total estimated construction power generation power of distributed photovoltaics in the current distribution and transformation area based on the zero-carbon gap and the total load curve data.

[0028] In one embodiment of the present invention, the total estimated construction power generation power of distributed photovoltaics in the current distribution transformer area is calculated based on the zero-carbon gap and total load curve data, which may specifically include: collecting the daily power generation curve of distributed photovoltaics in the current distribution transformer area from the electricity consumption information collection point, and calculating the estimated value of the total estimated construction power generation power of distributed photovoltaics in the current distribution transformer area through the daily power generation curve of distributed photovoltaics in the current distribution transformer area; obtaining historical data of distributed photovoltaic power generation, establishing a distributed photovoltaic power generation prediction model, inputting the historical data into the distributed photovoltaic power generation prediction model for training, and inputting the distributed photovoltaic power generation data on the prediction day into the trained distributed photovoltaic power generation prediction model to obtain the distributed photovoltaic power generation power curve on the prediction day, and optimizing the estimated value of the daily power generation of distributed photovoltaics through the distributed photovoltaic power generation power curve; obtaining the total estimated construction power generation power of distributed photovoltaics in the current distribution transformer area according to the distributed photovoltaic power generation power curve, and comparing the estimated value of the daily power generation of distributed photovoltaics with the total estimated construction power of distributed photovoltaics.

[0029] Specifically, first, the basic load curve Pb of the current distribution substation, the daily power generation curve Pc of the distributed photovoltaic system, and the electric vehicle load curve Pd can be collected from the power consumption information collection point. The unit daily power generation Eg1 can be calculated using the daily power generation formula through the distributed photovoltaic daily power generation curve. Among them, the distributed photovoltaic daily power generation curve can take a sampling value every 15 minutes to generate a curve consisting of a total of 96 sampling values ​​per day. The calculation formula for the unit daily power generation Eg1 can be:

[0030]

[0031] Where Δt is the time increment.

[0032] The total distributed photovoltaic power generation power Pm in the current distribution transformer area is calculated based on the zero carbon gap and the unit daily power generation Eg1. The calculation formula for the total distributed photovoltaic power generation power Pm can be:

[0033]

[0034] Among them, Ct is the zero carbon gap.

[0035] The estimated value Pw of the total distributed photovoltaic estimated construction power generation power in the current distribution transformer area is calculated based on the total distributed photovoltaic power generation power Pm. The calculation formula for the estimated value Pw of the total distributed photovoltaic estimated construction power generation power can be:

[0036]

[0037] Among them, ηg is the photovoltaic power generation inverter conversion efficiency.

[0038] Among them, it is necessary to understand that when calculating the estimated construction power generation capacity of distributed photovoltaics, the energy storage structure can be ignored in the current distribution and transformation area.

[0039] Furthermore, the day type and temperature information released by the Meteorological Bureau can be used to select historical similar days that are most relevant to the weather conditions on the forecast day. Then, similar historical power generation curves and meteorological data and other information can be selected from the selected historical similar days and input into the neural network for training. The meteorological forecast data of the forecast day is input into the trained neural network model to obtain the distributed photovoltaic power generation power curve of the forecast day, and the estimated value of the distributed photovoltaic daily power generation is optimized through the distributed photovoltaic power generation power curve. Among them, the meteorological data may include information such as the sunshine intensity, temperature, humidity, cloud cover and wind speed of the day.

[0040] Furthermore, the distributed photovoltaic power generation curve on the predicted day and the basic load curve data of the current distribution transformer area can be subtracted to obtain a comprehensive curve, and the trigger threshold of the comprehensive curve can be set. When the actual value of the comprehensive curve is greater than the trigger threshold, the capacity of the distributed photovoltaic can be reduced; when the actual value of the comprehensive curve is less than the trigger threshold, the capacity of the distributed photovoltaic can be increased, thereby obtaining the optimal value of the total estimated construction power generation power of the distributed photovoltaic in the current distribution transformer area.

[0041] S3, collecting the daily load curve data of the current distribution transformer area through the electricity information collection point, and calculating the energy storage structure construction configuration capacity of the current distribution transformer area based on the daily load curve data.

[0042] In one embodiment of the present invention, the energy storage structure construction configuration capacity of the current distribution transformer area is calculated based on the daily load curve data, which may specifically include: collecting the load curve data of the current distribution transformer area from the electricity consumption information collection point, and calculating the estimated capacity of the energy storage structure for one day through the load curve data; dividing the charging and discharging process of the estimated capacity of the energy storage structure for one day's operating power curve into multiple intervals at intervals of 15 minutes, where each interval can only have one state, and accumulating each interval in units of time to obtain the capacity of each interval; selecting the interval with the largest capacity as the energy storage structure construction configuration capacity of the current distribution transformer area.

[0043] Specifically, first, the daily load curve data of the current distribution transformer area can be collected from the electricity consumption information collection point, which may include the basic load curve Pb, the electric vehicle load curve Pd and the distributed photovoltaic power generation curve Pc. The distributed photovoltaic power generation power curve Pc of the current distribution transformer area is subtracted from the basic load curve Pb of the current distribution transformer area and the electric vehicle load curve Pd of the current distribution transformer area to obtain the estimated capacity of the energy storage structure and the one-day operating power curve Px, that is, Px = Pc-Pb-Pd.

[0044] Furthermore, the charging and discharging process of the energy storage structure's operating power curve Px for one day can be divided into several intervals with an interval of 15 minutes. Each interval can only have one state, that is, charging or discharging. The time of each interval is accumulated to obtain the capacity S(t) of each interval, that is:

[0045]

[0046] Among them, Px t is the value of Px at time t.

[0047] Furthermore, the maximum capacity of the interval can be selected as the optimal value of the energy storage structure construction configuration capacity Ey in the current distribution transformer area, that is:

[0048] E y =max(S(t)),t=1,2,...,96

[0049] Among them, max is the maximum value function.

[0050] S4, obtain the current power load data of the distribution substation, import the power load data into the energy storage structure simulation model for simulation, and compare the simulation results with the total estimated construction power generation of distributed photovoltaics and the energy storage structure construction configuration capacity, and adjust the energy storage structure according to the comparison results.

[0051] In one embodiment of the present invention, the total estimated construction power generation power of distributed photovoltaics and the construction configuration capacity of the energy storage structure are imported into the energy storage structure simulation model for simulation, which may specifically include: selecting the energy coordinated operation and control target of the current distribution and transformation substation through the energy storage structure simulation model, wherein the energy coordinated operation and control target includes: maximizing photovoltaic absorption, minimizing load variance and minimizing the square of load change; collecting the basic load daily data, electric vehicle load daily data and distributed photovoltaic load daily data of the current distribution and transformation substation from the electricity consumption information collection point and inputting them into the energy storage structure simulation model for simulation.

[0052] Specifically, first, the real-time values ​​of the basic load, electric vehicle load and distributed photovoltaic power generation power of the current distribution transformer area at time t (t = 1, 2, ..., 96) can be read at one time. According to the energy coordinated operation control target of the current distribution transformer area, 96 control results of the energy storage structure can be obtained. After extracting the power of the energy storage structure at time t = 1 as the control result of the energy storage structure at the current moment, enter the moment t+1, and construct the optimization curve at time t at the same time, where the actual load curve can be taken before time t, and the predicted load curve can be taken after time t. In addition, the output of the energy storage structure before time t is not used as an optimization variable. The optimization variable of the energy storage structure can be P v =[P t , Pt+1 ,...,P 96 Then, the Pt in the obtained optimization variable can be used as the charge and discharge power of the energy storage structure at the current moment, and enter the next moment until the cycle of 96 points a day is completed. Figure 2 As shown in the figure, after the simulation is completed, the simulation results can be compared with the total estimated construction power of distributed photovoltaics and the construction configuration capacity of the energy storage structure, and the energy storage structure can be adjusted according to the comparison results.

[0053] According to the zero-carbon rate-based energy storage structure simulation and control method of an embodiment of the present invention, the daily frozen electricity consumption of the transformer electricity meter is obtained as the zero-carbon gap, and an energy storage structure simulation model based on the zero-carbon gap is established. Then, the total load curve data of the current distribution transformer area is collected, and the total distributed photovoltaic estimated construction power generation power is calculated according to the zero-carbon gap and the total load curve data. The daily load curve data of the current distribution transformer area is collected, and the energy storage structure construction configuration capacity is calculated according to the daily load curve data. Finally, the power load data of the current distribution transformer area is obtained, and the power load data is imported into the energy storage structure simulation model for simulation. The simulation results are compared with the total distributed photovoltaic estimated construction power generation power and the energy storage structure construction configuration capacity. The energy storage structure is regulated according to the comparison results. Therefore, the power quality can be improved, the voltage fluctuation and network loss problems in the power device can be reduced, the stability of the power device can be improved, and the calculation is simple.

[0054] In order to implement the energy storage structure simulation and control method of the above embodiment, the present invention also proposes a zero-carbon-rate energy storage structure simulation and control system.

[0055] like Figure 3As shown, the zero-carbon rate energy storage structure simulation control system of the embodiment of the present invention includes: a modeling module 100, a first calculation module 200, a second calculation module 300 and a control module 400, wherein the modeling module 100 is used to obtain the daily frozen power consumption of the gateway electric energy meter at the transformer through the power consumption information collection, and use the daily frozen power consumption as the zero-carbon gap, and establish an energy storage structure simulation model based on the zero-carbon gap in the current distribution transformer area; the first calculation module 200 is used to collect the total load curve data of the current distribution transformer area through the power consumption information collection, and calculate the total load curve data according to the zero-carbon gap and the total load curve data. The total estimated construction power generation capacity of distributed photovoltaic power generation in the current distribution and transformation area is calculated; the second calculation module 300 is used to collect the daily load curve data of the current distribution and transformation area through the electricity information collection point, and calculate the energy storage structure construction configuration capacity of the current distribution and transformation area based on the daily load curve data; the control module 400 is used to obtain the electricity load data of the current distribution and transformation area, import the electricity load data into the energy storage structure simulation model for simulation, and compare the simulation results with the total estimated construction power generation capacity of distributed photovoltaic power generation and the energy storage structure construction configuration capacity, and control the energy storage structure according to the comparison results.

[0056] In one embodiment of the present invention, power data collection equipment such as electricity meters and collectors can be installed on the transformers in the distribution substation area and each power branch node, and real-time data and historical curve data such as electric vehicle load, basic load and distributed photovoltaic power generation in the current distribution substation area can be obtained through on-site power consumption information collection equipment and a remote master station. The composition of the distribution substation area may include basic power load, distributed photovoltaic power generation, electric vehicle charging piles and energy storage structures.

[0057] In one embodiment of the present invention, the first calculation module 200 can also be used to: collect the daily power generation curve of the distributed photovoltaic in the current distribution transformer area from the electricity consumption information collection point, and calculate the estimated value of the total construction power generation power of the distributed photovoltaic in the current distribution transformer area through the daily power generation curve of the distributed photovoltaic in the current distribution transformer area; obtain historical data of distributed photovoltaic power generation, establish a distributed photovoltaic power generation prediction model, input the historical data into the distributed photovoltaic power generation prediction model for training, and input the distributed photovoltaic power generation data of the prediction day into the trained distributed photovoltaic power generation prediction model to obtain the distributed photovoltaic power generation power curve of the prediction day, and optimize the estimated value of the daily power generation of the distributed photovoltaic through the distributed photovoltaic power generation power curve; obtain the total estimated construction power generation power of the distributed photovoltaic in the current distribution transformer area according to the distributed photovoltaic power generation power curve, and compare the estimated value of the daily power generation of the distributed photovoltaic with the total estimated construction power generation power of the distributed photovoltaic.

[0058] Specifically, first, the basic load curve Pb of the current distribution substation, the daily power generation curve Pc of the distributed photovoltaic system, and the electric vehicle load curve Pd can be collected from the power consumption information collection point. The unit daily power generation Eg1 can be calculated using the daily power generation formula through the distributed photovoltaic daily power generation curve. Among them, the distributed photovoltaic daily power generation curve can take a sampling value every 15 minutes to generate a curve consisting of a total of 96 sampling values ​​per day. The calculation formula for the unit daily power generation Eg1 can be:

[0059]

[0060] Where Δt is the time increment.

[0061] The total distributed photovoltaic power generation power Pm in the current distribution transformer area is calculated based on the zero carbon gap and the unit daily power generation Eg1. The calculation formula for the total distributed photovoltaic power generation power Pm can be:

[0062]

[0063] Among them, Ct is the zero carbon gap.

[0064] The estimated value Pw of the total distributed photovoltaic estimated construction power generation power in the current distribution transformer area is calculated based on the total distributed photovoltaic power generation power Pm. The calculation formula for the estimated value Pw of the total distributed photovoltaic estimated construction power generation power can be:

[0065]

[0066] Among them, ηg is the photovoltaic power generation inverter conversion efficiency.

[0067] Among them, it is necessary to understand that when calculating the estimated construction power generation capacity of distributed photovoltaics, the energy storage structure can be ignored in the current distribution and transformation area.

[0068] Furthermore, the day type and temperature information released by the Meteorological Bureau can be used to select historical similar days that are most relevant to the weather conditions on the forecast day. Then, similar historical power generation curves and meteorological data and other information can be selected from the selected historical similar days and input into the neural network for training. The meteorological forecast data of the forecast day is input into the trained neural network model to obtain the distributed photovoltaic power generation power curve of the forecast day, and the estimated value of the distributed photovoltaic daily power generation is optimized through the distributed photovoltaic power generation power curve. Among them, the meteorological data may include information such as the sunshine intensity, temperature, humidity, cloud cover and wind speed of the day.

[0069] Furthermore, the distributed photovoltaic power generation curve on the predicted day and the basic load curve data of the current distribution transformer area can be subtracted to obtain a comprehensive curve, and the trigger threshold of the comprehensive curve can be set. When the actual value of the comprehensive curve is greater than the trigger threshold, the capacity of the distributed photovoltaic can be reduced; when the actual value of the comprehensive curve is less than the trigger threshold, the capacity of the distributed photovoltaic can be increased, thereby obtaining the optimal value of the total estimated construction power generation power of the distributed photovoltaic in the current distribution transformer area.

[0070] In one embodiment of the present invention, the second calculation module 300 can also be used to: collect load curve data of the current distribution transformer area from the electricity consumption information collection point, and calculate the estimated capacity of the energy storage structure for one day's operating power curve through the load curve data; divide the charging and discharging process of the estimated capacity of the energy storage structure for one day's operating power curve into multiple intervals with an interval of 15 minutes, where each interval can only have one state, and accumulate each interval in units of time to obtain the capacity of each interval; select the interval with the largest capacity as the energy storage structure construction configuration capacity of the current distribution transformer area.

[0071] Specifically, first, the daily load curve data of the current distribution transformer area can be collected from the electricity consumption information collection point, which may include the basic load curve Pb, the electric vehicle load curve Pd and the distributed photovoltaic power generation curve Pc. The distributed photovoltaic power generation power curve Pc of the current distribution transformer area is subtracted from the basic load curve Pb of the current distribution transformer area and the electric vehicle load curve Pd of the current distribution transformer area to obtain the estimated capacity of the energy storage structure and the one-day operating power curve Px, that is, Px = Pc-Pb-Pd.

[0072] Furthermore, the charging and discharging process of the energy storage structure's operating power curve Px for one day can be divided into several intervals with an interval of 15 minutes. Each interval can only have one state, that is, charging or discharging. The time of each interval is accumulated to obtain the capacity S(t) of each interval, that is:

[0073]

[0074] Among them, Px t is the value of Px at time t.

[0075] Furthermore, the maximum capacity of the interval can be selected as the optimal value of the energy storage structure construction configuration capacity Ey in the current distribution transformer area, that is:

[0076] E y =max(S(t)),t=1,2,...,96

[0077] Among them, max is the maximum value function.

[0078] In one embodiment of the present invention, the control module 400 can also be used to: select the energy coordinated operation control target of the current distribution and transformation substation through the energy storage structure simulation model, wherein the energy coordinated operation control target includes: maximizing photovoltaic absorption, minimizing load variance and minimizing the square of load change; collecting the basic load daily data, electric vehicle load daily data and distributed photovoltaic load daily data of the current distribution and transformation substation from the electricity consumption information collection point and inputting them into the energy storage structure simulation model for simulation.

[0079] Specifically, first, the real-time values ​​of the basic load, electric vehicle load and distributed photovoltaic power generation power of the current distribution transformer area at time t (t = 1, 2, ..., 96) can be read at one time. According to the energy coordinated operation control target of the current distribution transformer area, 96 control results of the energy storage structure can be obtained. After extracting the power of the energy storage structure at time t = 1 as the control result of the energy storage structure at the current moment, enter the moment t+1, and construct the optimization curve at time t at the same time, where the actual load curve can be taken before time t, and the predicted load curve can be taken after time t. In addition, the output of the energy storage structure before time t is not used as an optimization variable. The optimization variable of the energy storage structure can be P v =[P t , P t+1 ,...,P 96 Then, the Pt in the obtained optimization variable can be used as the charge and discharge power of the energy storage structure at the current moment, and enter the next moment until the cycle of 96 points a day is completed. Figure 2 As shown in the figure, after the simulation is completed, the simulation results can be compared with the total estimated construction power of distributed photovoltaics and the construction configuration capacity of the energy storage structure, and the energy storage structure can be adjusted according to the comparison results.

[0080] To summarize, the present invention establishes a zero-carbon gap-based energy storage structure simulation model through a modeling module, then collects the total load curve data of the current distribution and transformation area, and calculates the total distributed photovoltaic estimated construction power generation power according to the zero-carbon gap and total load curve data through the first calculation module, and collects the daily load curve data of the current distribution and transformation area through the second calculation module, and calculates the energy storage structure construction configuration capacity according to the daily load curve data, and finally obtains the current distribution and transformation area's power load data through the adjustment module, imports the power load data into the energy storage structure simulation model for simulation, and compares the simulation results with the total distributed photovoltaic estimated construction power generation power and the energy storage structure construction configuration capacity, and regulates the energy storage structure according to the comparison results. Thus, it is possible to improve the power quality, reduce the problems of voltage fluctuation and network loss in the power device, improve the stability of the power device, and the calculation is simple.

[0081] In the description of the present invention, the terms "first" and "second" are used for descriptive purposes only and should not be understood to indicate or imply relative importance or implicitly specify the number of the technical features indicated. Therefore, a feature specified as "first" or "second" may explicitly or implicitly include one or more of such features. "Multiple" means two or more, unless otherwise specifically defined.

[0082] In the present invention, unless otherwise expressly specified or limited, the terms "mounted," "connected," "connect," "fixed," etc. should be understood broadly. For example, they may refer to fixed connection, detachable connection, or integration; mechanical connection or electrical connection; direct connection or indirect connection through an intermediate medium; internal communication between two components or interaction between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on specific circumstances.

[0083] In the present invention, unless otherwise expressly specified or limited, when a first feature is "above" or "below" a second feature, it may mean that the first and second features are in direct contact, or that the first and second features are in indirect contact through an intermediary. Furthermore, when a first feature is "above," "above," or "above" a second feature, it may mean that the first feature is directly above or diagonally above the second feature, or simply means that the first feature is at a higher level than the second feature. When a first feature is "below," "below," or "below" a second feature, it may mean that the first feature is directly below or diagonally below the second feature, or simply means that the first feature is at a lower level than the second feature.

[0084] In the description of this specification, the reference terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" mean that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art can combine and combine different embodiments or examples described in this specification and features of different embodiments or examples without contradiction.

[0085] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code comprising one or more executable instructions for implementing the steps of a specific logical function or process, and the scope of the preferred embodiments of the present invention includes alternative implementations in which functions may be performed out of the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present invention pertain.

[0086] The logic and / or steps represented in the flowcharts or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing the logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (e.g., a computer-based system, a system including a processor, or other system that can fetch and execute instructions from an instruction execution system, apparatus, or device). For purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include the following: an electrical connection having one or more wires (electronic devices), a portable computer disk cartridge (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disc read-only memory (CDROM). Furthermore, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing it in another suitable manner if necessary, and then storing it in a computer memory.

[0087] It should be understood that various parts of the present invention can be implemented using hardware, software, firmware, or a combination thereof. In the above-described embodiments, multiple steps or methods can be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented using hardware, as in another embodiment, any one of the following technologies known in the art or a combination thereof can be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application-specific integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0088] Those skilled in the art will understand that all or part of the steps in the method of the above embodiment can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiment.

[0089] In addition, the functional units in the various embodiments of the present invention may be integrated into a single processing module, or each unit may exist physically separately, or two or more units may be integrated into a single module. The aforementioned integrated modules may be implemented in the form of hardware or in the form of software functional modules. If the integrated modules are implemented in the form of software functional modules and sold or used as independent products, they may also be stored in a computer-readable storage medium.

[0090] Although the embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are illustrative and are not to be construed as limitations on the present invention. A person skilled in the art may change, modify, replace and modify the above embodiments within the scope of the present invention.

[0091] Finally, it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention and are not intended to limit the present invention. Those skilled in the art will appreciate that they may modify or substitute equivalents for the specific embodiments of the present invention, provided that such modifications or variations are within the scope of protection of the pending claims.

Claims

1. A simulation control method for energy storage structure based on zero carbon rate, characterized in that: The following steps are involved: S1, obtaining the daily frozen power consumption of the gateway power meter at the transformer through the power consumption information collection point, taking the daily frozen power consumption as the zero-carbon gap, and establishing a simulation model of the energy storage structure based on the zero-carbon gap in the current distribution transformer area; S2, collecting the total load curve data of the current distribution transformer area through the power consumption information collection point, and calculating the total estimated construction power generation power of the distributed photovoltaic in the current distribution transformer area according to the zero-carbon gap and the total load curve data; S3, collecting the daily load curve data of the current distribution transformer area through the power consumption information collection location, and calculating the energy storage structure construction configuration capacity of the current distribution transformer area according to the daily load curve data; S4, obtaining the power load data of the current distribution and transformation substation, importing the power load data into the energy storage structure simulation model for simulation, and comparing the simulation results with the total estimated construction power generation power of the distributed photovoltaic and the construction configuration capacity of the energy storage structure, and regulating the energy storage structure according to the comparison results.

2. The method for simulating and controlling energy storage structures based on zero carbon rate according to claim 1, characterized in that: The distribution and transformation substation area consists of basic power loads, distributed photovoltaic power generation, electric vehicle charging piles and energy storage structures.

3. The method for simulating and controlling energy storage structure based on zero carbon rate according to claim 2 is characterized in that: The calculation of the total estimated construction power generation power of distributed photovoltaic power in the current distribution and transformation area according to the zero-carbon gap and total load curve data specifically includes: Collect the daily power generation curve of the distributed photovoltaic power generation in the current distribution transformer area from the power consumption information collection point, and calculate the estimated value of the total estimated construction power generation power of the distributed photovoltaic power generation in the current distribution transformer area through the daily power generation curve of the distributed photovoltaic power generation in the current distribution transformer area; Acquire historical data of distributed photovoltaic power generation, establish a distributed photovoltaic power generation prediction model, input the historical data into the distributed photovoltaic power generation prediction model for training, and input the distributed photovoltaic power generation data of the prediction day into the trained distributed photovoltaic power generation prediction model to obtain the distributed photovoltaic power generation power curve of the prediction day, and optimize the estimated value of the daily power generation of the distributed photovoltaic through the distributed photovoltaic power generation power curve; The total estimated construction power generation power of distributed photovoltaic power in the current distribution transformer area is obtained according to the distributed photovoltaic power generation power curve, and the estimated value of the daily power generation of the distributed photovoltaic power is compared with the total estimated construction power generation power of the distributed photovoltaic power.

4. The method for simulating and controlling energy storage structure based on zero carbon rate according to claim 3 is characterized in that: The calculation of the energy storage structure construction configuration capacity of the current distribution transformer area according to the daily load curve data specifically includes: Collect the load curve data of the current distribution transformer area from the power consumption information collection place, and calculate the estimated capacity of the energy storage structure for one day through the load curve data; The charging and discharging process of the operating power curve of the estimated capacity of the energy storage structure for one day is divided into a plurality of intervals at intervals of 15 minutes, wherein each interval can only have one state, and each interval is accumulated in units of time to obtain the capacity of each interval; The interval with the largest capacity is selected as the configuration capacity for the energy storage structure construction in the current distribution transformer area.

5. The method for simulating and controlling energy storage structure based on zero carbon rate according to claim 4 is characterized in that: The total estimated construction power generation power of the distributed photovoltaic system and the construction configuration capacity of the energy storage structure are imported into the energy storage structure simulation model for simulation, specifically including: Selecting the energy coordinated operation control target of the current distribution transformer area through the energy storage structure simulation model, wherein the energy coordinated operation control target includes: maximizing photovoltaic consumption, minimizing load variance and minimizing load change square; The basic load daily data, electric vehicle load daily data and distributed photovoltaic load daily data of the current distribution transformer area are collected from the electricity consumption information collection point and input into the energy storage structure simulation model for simulation.

6. A zero-carbon rate-based energy storage structure simulation control system, which uses the zero-carbon rate-based energy storage structure simulation control method according to any one of claims 1 to 5 to perform energy storage structure simulation control, characterized in that: include: A modeling module, wherein the modeling module is used to obtain the daily frozen power consumption of the gateway electric energy meter at the transformer through the power consumption information collection, use the daily frozen power consumption as the zero-carbon gap, and establish an energy storage structure simulation model based on the zero-carbon gap in the current distribution transformer area; A first calculation module, the first calculation module is used to collect the total load curve data of the current distribution transformer area through the power consumption information collection location, and calculate the total estimated construction power generation power of the distributed photovoltaic in the current distribution transformer area according to the zero-carbon gap and the total load curve data; A second calculation module, the second calculation module is used to collect the daily load curve data of the current distribution transformer area through the power consumption information collection location, and calculate the energy storage structure construction configuration capacity of the current distribution transformer area according to the daily load curve data; The control module is used to obtain the power load data of the current distribution and transformation area, import the power load data into the energy storage structure simulation model for simulation, and compare the simulation results with the total estimated construction power generation power of the distributed photovoltaic and the energy storage structure construction configuration capacity, and control the energy storage structure according to the comparison results.

7. The energy storage structure simulation control system based on zero carbon rate according to claim 6 is characterized in that: The distribution and transformation substation area consists of basic power loads, distributed photovoltaic power generation, electric vehicle charging piles and energy storage structures.

8. The energy storage structure simulation control system based on zero carbon rate according to claim 7 is characterized in that: The first calculation module is also used for: Collect the daily power generation curve of the distributed photovoltaic power generation in the current distribution transformer area from the power consumption information collection point, and calculate the estimated value of the total estimated construction power generation power of the distributed photovoltaic power generation in the current distribution transformer area through the daily power generation curve of the distributed photovoltaic power generation in the current distribution transformer area; Acquire historical data of distributed photovoltaic power generation, establish a distributed photovoltaic power generation prediction model, input the historical data into the distributed photovoltaic power generation prediction model for training, and input the distributed photovoltaic power generation data of the prediction day into the trained distributed photovoltaic power generation prediction model to obtain the distributed photovoltaic power generation power curve of the prediction day, and optimize the estimated value of the daily power generation of the distributed photovoltaic through the distributed photovoltaic power generation power curve; The total estimated construction power generation power of distributed photovoltaic power in the current distribution transformer area is obtained according to the distributed photovoltaic power generation power curve, and the estimated value of the daily power generation of the distributed photovoltaic power is compared with the total estimated construction power generation power of the distributed photovoltaic power.

9. The energy storage structure simulation control system based on zero carbon rate according to claim 8 is characterized in that: The second calculation module is also used for: Collect the load curve data of the current distribution transformer area from the power consumption information collection place, and calculate the estimated capacity of the energy storage structure for one day through the load curve data; The charging and discharging process of the operating power curve of the estimated capacity of the energy storage structure for one day is divided into a plurality of intervals at intervals of 15 minutes, wherein each interval can only have one state, and each interval is accumulated in units of time to obtain the capacity of each interval; The interval with the largest capacity is selected as the configuration capacity for the energy storage structure construction in the current distribution transformer area.

10. The energy storage structure simulation control system based on zero carbon rate according to claim 9, characterized in that: The control module is also used for: Selecting the energy coordinated operation control target of the current distribution transformer area through the energy storage structure simulation model, wherein the energy coordinated operation control target includes: maximizing photovoltaic consumption, minimizing load variance and minimizing load change square; The basic load daily data, electric vehicle load daily data and distributed photovoltaic load daily data of the current distribution transformer area are collected from the electricity consumption information collection point and input into the energy storage structure simulation model for simulation.

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