Zero-carbon power supply station bus carbon potential calculation method, system, equipment and medium

Abstract

The invention relates to the technical field of power system analysis, and discloses a zero-carbon power supply station bus carbon potential calculation method, system, device and medium, and the method comprises the steps: considering a power supply station structure in which a DC micro-grid participates in power supply, and determining a first network structure for bus carbon potential calculation; based on the first network structure, collecting first distributed power generation output data; and performing first judgment according to the first distributed power generation output data, and obtaining the micro-grid direct-current bus carbon potential and the power supply station alternating-current bus carbon potential according to a first judgment result. The method fully considers the influence of the fluctuation of the new energy generating capacity on the bus carbon potential, and formulates the calculation strategies according to different conditions, so that the carbon potential calculation is closer to the actual condition, and the calculation accuracy is improved. And through the method, the zero-carbon power supply station can more accurately master the change condition of the bus carbon potential, so that the energy management strategy is adjusted according to the carbon potential data, and more environment-friendly and efficient operation of the zero-carbon power supply station is facilitated.

Description

Technical Field

[0001] The present invention relates to the technical field of power system analysis and research, and in particular to a method, system, equipment and medium for calculating the carbon potential of a busbar of a zero-carbon power supply station. Background Art

[0002] With the increasing global emphasis on environmental protection and sustainable development, reducing carbon emissions has become a common challenge faced by all industries. In the power system sector, traditional fossil fuel power generation is increasingly restricted due to its high carbon emissions. Zero-carbon energy supply models are becoming a hot topic in research and application. Zero-carbon power stations, as key facilities in achieving this goal, aim to achieve zero carbon emissions in the power supply process through distributed generation and efficient energy management systems.

[0003] However, in actual operation, microgrids within zero-carbon power stations face the problem of fluctuating renewable energy generation. Due to factors such as weather conditions and equipment status, renewable energy generation may not meet the microgrid's load requirements or may even be excessive. This imbalance in supply and demand places higher demands on microgrid energy scheduling and carbon potential management.

[0004] Carbon potential, as an indicator to measure the carbon emission intensity of the power system, is crucial for evaluating and optimizing the environmental performance of zero-carbon power stations. Traditional carbon potential calculation methods are often based on a stable power supply structure, ignoring the intermittent and uncertain nature of renewable energy generation. Therefore, in the microgrid of a zero-carbon power station, how to accurately calculate and manage the bus carbon potential under different renewable energy generation conditions has become an urgent problem to be solved. When renewable energy generation is insufficient, the microgrid may need to introduce additional electricity from the upper grid to meet load demand. At this time, the carbon potential within the microgrid will be affected by the carbon potential of the upper grid. Conversely, when renewable energy generation is in excess, the excess electricity may be fed back to the upper grid through grid connection. The carbon potential calculation in this process is also complex and requires consideration of the interaction of multiple factors.

[0005] In summary, considering the uncertainty of renewable energy power generation in zero-carbon power supply microgrids and its impact on bus carbon potential calculation, developing a zero-carbon power supply bus carbon potential calculation method that can flexibly adapt to different renewable energy power generation situations is of great significance for improving the energy management efficiency and environmental protection performance of zero-carbon power supply stations. Summary of the Invention

[0006] In view of the above existing problems, the present invention is proposed.

[0007] Therefore, the present invention provides a method, system, equipment and medium for calculating the bus carbon potential of a zero-carbon power supply station to solve the problem that the traditional carbon potential calculation method fails to effectively consider the volatility and supply-demand imbalance of renewable energy power generation in the zero-carbon power supply station microgrid, resulting in the inability to accurately calculate and dynamically adjust the bus carbon potential when renewable energy power generation is insufficient or excessive, affecting the accuracy of carbon emission assessment and energy scheduling optimization.

[0008] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0009] In a first aspect, the present invention provides a method for calculating the carbon potential of a zero-carbon power supply station busbar, comprising:

[0010] Considering the power supply structure of the DC microgrid, determine the first network structure for busbar carbon potential calculation;

[0011] Based on the first network structure, collecting first distributed power generation output data;

[0012] A first judgment is performed based on the first distributed power generation output data, and the carbon potential of the microgrid DC bus and the carbon potential of the power station AC bus are obtained based on the result of the first judgment.

[0013] As a preferred solution of the method for calculating the carbon potential of a zero-carbon power supply station busbar according to the present invention, the first judgment includes:

[0014] If the renewable energy power generation in the first distributed power generation output data does not meet the first load power supply condition, it means that the AC bus of the power supply station injects power into the DC bus at this time;

[0015] If the renewable energy power generation in the first distributed power generation output data exceeds the first threshold range, it means that the microgrid DC bus is injecting power into the power supply station AC bus.

[0016] As a preferred solution of the method for calculating the carbon potential of a zero-carbon power station bus described in the present invention, the step of obtaining the carbon potential of the microgrid DC bus and the AC bus of the power station includes:

[0017] When the AC bus of the power supply station injects power into the DC bus, the carbon potential of the AC bus of the power supply station is the carbon potential of the upper-level power grid station, and the carbon potential of the DC bus of the microgrid is obtained through the first calculation operation.

[0018] As a preferred solution of the method for calculating the carbon potential of a zero-carbon power station bus described in the present invention, the step of obtaining the carbon potential of the microgrid DC bus and the AC bus of the power station further comprises:

[0019] When the microgrid DC bus injects power into the power station AC bus, the carbon potential of the microgrid DC bus is equal to the carbon potential of the distributed generation power, and the carbon potential of the power station AC bus is obtained through a second calculation operation.

[0020] The beneficial effects of this preferred technical solution are: fully considering the impact of fluctuations in renewable energy power generation on the bus carbon potential, formulating calculation strategies according to different situations, making the carbon potential calculation closer to the actual situation and improving the accuracy of the calculation.

[0021] As a preferred solution of the method for calculating the bus carbon potential of a zero-carbon power supply station described in the present invention, the first network structure for determining the bus carbon potential calculation includes:

[0022] The first network structure of the power supply station in which the DC microgrid participates in power supply is an AC / DC bus interconnection model, that is, the AC load of the power supply station and the upper-level AC power grid are connected to the AC bus through several substations, and the distributed power supply, energy storage device, and DC load of the DC microgrid are all connected to the DC bus.

[0023] As a preferred solution of the method for calculating the bus carbon potential of a zero-carbon power supply station described in the present invention, wherein: based on the first network structure, the calculation order of the bus carbon potential is determined by obtaining the power flow direction between the interconnected busbars, and the carbon potential of the interconnected buses is calculated sequentially according to the calculation order of the bus carbon potential.

[0024] The beneficial effects of this preferred technical solution are: it can more accurately reflect the carbon emissions during the flow of electric energy and avoid carbon potential calculation errors caused by improper calculation sequence.

[0025] As a preferred solution of the method for calculating the bus carbon potential of a zero-carbon power supply station described in the present invention, the first distributed power generation output data includes but is not limited to the three-phase voltage, three-phase current, total active power, node carbon potential and output carbon flow rate at each metering point.

[0026] In a second aspect, the present invention provides a zero-carbon power supply station busbar carbon potential calculation system, comprising:

[0027] A network structure determination module is used to determine the first network structure for busbar carbon potential calculation by considering the power supply structure of the DC microgrid participating in the power supply;

[0028] A data acquisition module, configured to acquire first distributed power generation output data based on the first network structure;

[0029] The carbon potential calculation module is used to make a first judgment based on the first distributed power generation output data, and obtain the carbon potential of the microgrid DC bus and the carbon potential of the power supply station AC bus through the result of the first judgment.

[0030] In a third aspect, the present invention provides an electronic device comprising a memory and a processor; the memory is used to store computer-executable instructions, and the processor implements the steps of a method for calculating the carbon potential of a zero-carbon power supply station bus when executing the computer-executable instructions.

[0031] In a fourth aspect, the present invention provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the steps of a method for calculating the carbon potential of a zero-carbon power station bus.

[0032] Compared with the prior art, the present invention has the following beneficial effects:

[0033] ① This invention fully considers the impact of fluctuations in renewable energy generation on the bus carbon potential, formulating calculation strategies based on different situations. When renewable energy generation is insufficient, the carbon potential of the power station's AC bus serves as the carbon potential of the higher-level power grid. When renewable energy generation is excessive, the carbon potential of the microgrid's DC bus is zero, and the carbon potential of the power station's AC bus is calculated based on this. This makes the carbon potential calculation more accurate and more accurate.

[0034] ② Through the method of this invention, a zero-carbon power station can more accurately grasp changes in busbar carbon potential and adjust its energy management strategy based on this carbon potential data. For example, when renewable energy generation is insufficient, it can prioritize the introduction of low-carbon electricity from the upper grid. When renewable energy generation is excessive, it can rationally arrange for surplus electricity to be connected to the grid, reducing carbon emissions. Flexible energy management strategies help zero-carbon power stations achieve more environmentally friendly and efficient operations.

[0035] ③ By accurately calculating the bus carbon potential, the present invention enables the zero-carbon power station to have a clearer understanding of its own carbon emissions and then take targeted emission reduction measures, which helps to enhance the environmental image of the zero-carbon power station and promote its competitiveness in the energy market.

[0036] ④ By accurately calculating the bus carbon potential, the present invention enables zero-carbon power stations to more scientifically plan the layout of new energy power generation and power transmission, improve the utilization rate of new energy and the overall efficiency of the power system, reduce dependence on traditional fossil energy, and promote the green transformation of the energy structure. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0038] Figure 1This is a logic diagram of the overall process of a method for calculating the carbon potential of a zero-carbon power supply station bus according to an embodiment of the present invention.

[0039] Figure 2 This is a flow chart of a method for calculating the carbon potential of a zero-carbon power supply station busbar according to an embodiment of the present invention.

[0040] Figure 3 This is a schematic diagram of network metering of insufficient renewable energy generation in a power supply station microgrid according to a method for calculating the carbon potential of a zero-carbon power supply station busbar according to an embodiment of the present invention.

[0041] Figure 4 This is a schematic diagram of network metering of excess renewable energy power generation in a power supply station microgrid according to a method for calculating the carbon potential of a zero-carbon power supply station busbar according to an embodiment of the present invention.

[0042] Figure 5 This is a schematic diagram of the measurement points of an XP power station according to a method for calculating the carbon potential of a zero-carbon power station busbar according to an embodiment of the present invention. DETAILED DESCRIPTION

[0043] To make the above-mentioned objects, features, and advantages of the present invention more clearly understood, the following detailed description of the specific embodiments of the present invention is given in conjunction with the accompanying drawings. It is obvious that the described embodiments are only part 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 persons in this field without creative work should fall within the scope of protection of the present invention.

[0044] Example 1, with reference to Figures 1-4 As an embodiment of the present invention, a method for calculating the carbon potential of a zero-carbon power station bus is provided. The present invention is aimed at a power station network structure containing an AC / DC hybrid bus model, and proposes a specific bus carbon potential calculation strategy based on different situations of new energy power generation to ensure the accuracy and rationality of the carbon potential calculation, providing an important basis for evaluating the carbon emission intensity of the power station and optimizing the energy structure.

[0045] like Figure 1 The specific steps shown include:

[0046] S100: considering the power supply substation structure of the DC microgrid participating in power supply, determining the first network structure for busbar carbon potential calculation;

[0047] S200: Collecting first distributed generation output data based on the first network structure;

[0048] S300: Perform a first judgment based on the first distributed power generation output data, and obtain the carbon potential of the microgrid DC bus and the carbon potential of the power station AC bus according to the result of the first judgment.

[0049] It should be noted that the traditional carbon potential calculation method fails to effectively consider the volatility and supply-demand imbalance of renewable energy power generation in the zero-carbon power supply station microgrid, resulting in the inability to accurately calculate and dynamically adjust the bus carbon potential when renewable energy power generation is insufficient or excessive, affecting the accuracy of carbon emission assessment and energy scheduling optimization. The method provided by the present invention fully considers the impact of fluctuations in renewable energy power generation on the bus carbon potential, and formulates calculation strategies according to different situations. When renewable energy power generation is insufficient, the carbon potential of the AC bus of the power supply station is the carbon potential of the upper power grid; when renewable energy power generation is excessive, the carbon potential of the DC bus of the microgrid is 0, and the carbon potential of the AC bus of the power supply station is calculated based on this, so that the carbon potential calculation is closer to the actual situation and the accuracy of the calculation is improved. And through the method of the present invention, the zero-carbon power supply station can more accurately grasp the changes in the bus carbon potential, thereby adjusting the energy management strategy according to the carbon potential data, which helps the zero-carbon power supply station to achieve more environmentally friendly and efficient operation. In addition, by accurately calculating the bus carbon potential, the present invention allows zero-carbon power stations to have a clearer understanding of their own carbon emissions and then take targeted emission reduction measures, which helps to enhance the environmental image of zero-carbon power stations and promote their competitiveness in the energy market.

[0050] In the embodiment of the present application, the above step S100 considers the structure of the power supply station in which the DC microgrid participates in power supply, and determines the first network structure for busbar carbon potential calculation, including:

[0051] Specifically, the first network structure of the power supply station in which the DC microgrid participates in power supply is an AC / DC bus interconnection model, that is, the AC load of the power supply station and the upper-level AC power grid are connected to the AC bus through several substations, and the distributed power supply, energy storage device, and DC load of the DC microgrid are all connected to the DC bus.

[0052] In an optional embodiment, the first network structure can also be a multi-level DC ring network structure, that is, the high-voltage DC bus is connected to large-capacity energy storage and wind power, the low-voltage DC bus is connected to photovoltaics and DC micro-loads, and a hierarchical carbon potential calculation system is constructed through DC / DC converters, which is suitable for new power electronic load scenarios such as data centers.

[0053] In another optional embodiment, the first network structure can also be an integrated photovoltaic storage and charging structure, where the AC bus connects the power grid and the charging pile load, and the DC bus integrates photovoltaic power generation, energy storage batteries and electric vehicle fast charging piles, and realizes AC / DC hybrid power supply through an intelligent energy router, which is suitable for electric vehicle charging station scenarios.

[0054] In an embodiment of the present application, based on the first network structure, the calculation order of the bus carbon potential is determined by obtaining the power flow direction between the interconnected busbars, and the carbon potential of the interconnected busbars is calculated in sequence according to the calculation order of the bus carbon potential.

[0055] It should be noted that the above step S100 provides an accurate topological basis for subsequent carbon potential calculation by clarifying the network structure of the power supply stations participating in the DC microgrid power supply, ensuring that the power source and carbon emission relationship of each bus can still be correctly identified under the condition of fluctuations in renewable energy power generation, thereby improving the adaptability and reliability of carbon potential calculation.

[0056] In the embodiment of the present application, the above step S200 collects the first distributed generation output data based on the first network structure, including:

[0057] Specifically, the first distributed power generation output data includes but is not limited to the three-phase voltage, three-phase current, total active power, node carbon potential and output carbon flow rate at each metering point.

[0058] Should be explained, such as Figure 3 and Figure 4 As shown, F represents the metering point, and the metering data items, namely, the first distributed generation output data, include the three-phase voltage, three-phase current, total active power, node carbon potential and output carbon flow rate at each metering point. Figure 3 F1, F2, F3...F m It is the metering point at the main power switch of the substation, F m+1 、F m+2 、F m+3 、F m+4 、F m+5 、F m+6 They are the metering points at the power supply switches of the power supply station busbar branches, and define the power supply station busbars L1...L i 、L j Carbon potential E GDS Right now (Unit: kgCO2 / kWh) corresponds to the carbon potential at each metering location. Since each substation is geographically located at the power supply station, the carbon potential at the low-voltage node in each substation is the same, which is e1 (unit: kgCO2 / kWh).

[0059] It should be noted that the above step S200 provides dynamic data support for carbon potential calculation by real-time collection of distributed power generation output data, enabling the system to accurately respond to fluctuations in renewable energy power generation and ensure the timeliness and accuracy of carbon potential calculation under different power generation conditions.

[0060] In the embodiment of the present application, the above step S300 performs a first judgment based on the first distributed power generation output data, and obtains the carbon potential of the microgrid DC bus and the AC bus of the power station through the result of the first judgment, including:

[0061] In an optional embodiment, the first judgment step may be an efficiency comparison, that is, based on the collected first distributed power generation output data, the average output efficiency of each energy type is calculated, and the average output efficiency of each type of energy is compared with a preset standard value or historical data to identify energy types that are higher or lower than the standard value; based on the comparison results, the contribution weights of different energy types are adjusted to calculate a more accurate carbon potential of the microgrid DC bus and the power station AC bus.

[0062] In another optional embodiment, the first judgment step may be a carbon emission factor analysis, that is, collecting the power generation of each distributed power source and its corresponding carbon emission factor, calculating the total carbon emissions of each distributed power source, and combining the total carbon emissions of all distributed power sources with their total power generation to calculate the average carbon potential of the microgrid DC bus and the power station AC bus.

[0063] In the embodiments of this application, Figure 2 The steps of the first judgment include:

[0064] If the renewable energy power generation in the first distributed power generation output data does not meet the first load power supply condition, it means that the AC bus of the power supply station injects power into the DC bus at this time;

[0065] If the renewable energy power generation in the first distributed power generation output data exceeds the first threshold range, it means that the microgrid DC bus injects power into the power supply station AC bus.

[0066] It should be noted that the first load power supply condition refers to the total power demand of the local loads connected to the microgrid DC bus (including DC loads and AC loads converted by inverters). When the power generation of distributed renewable energy (such as photovoltaics, wind power, etc.) is lower than the total demand, the system is determined to be in a state of insufficient power supply. At this time, it is necessary to supplement the power supply from the upper power grid to the DC bus through the AC bus of the power supply station. In this case, the carbon potential of the AC bus of the power supply station directly adopts the carbon emission intensity of the upper power grid, while the carbon potential of the DC bus of the microgrid needs to be calculated based on the carbon potential of the AC bus injection power and the distributed generation power, and the weighted average calculation is carried out according to the respective power supply ratios to accurately reflect the comprehensive carbon potential during mixed power supply.

[0067] It should be noted that the first threshold range refers to the pre-set critical value at which the amount of renewable energy power generation exceeds the local load demand. When the output of distributed generation exceeds this threshold, the system is determined to be in a state of excess power. At this time, the microgrid DC bus returns the excess power to the power supply station AC bus through a bidirectional converter (i.e., "surplus power is connected to the grid"). In this case, since the returned power comes entirely from zero-carbon renewable energy, the carbon potential of the microgrid DC bus is 0; and the carbon potential of the power supply station AC bus needs to be combined with the zero-carbon attribute of the returned power and the carbon potential of the electric power under the upper power grid, and calculated by weighted power supply ratio, so as to dynamically reflect the carbon emission intensity under the hybrid power source. This threshold range is usually set based on historical data or a forecast model to ensure that the system can switch the carbon potential calculation mode in time when power generation fluctuates.

[0068] Furthermore, when the renewable energy power generation in the zero-carbon power supply station microgrid is insufficient (unable to meet the microgrid load supply), the power supply station AC bus injects power into the DC bus. At this time, the carbon potential of the power supply station AC bus is the carbon potential of the upper-level power grid station, and the carbon potential of the microgrid DC bus is obtained through the first calculation operation.

[0069] In an optional embodiment, the first calculation may be a dynamic weight real-time calculation, that is, real-time monitoring of the AC bus injection power and the distributed generation power, calculating the weight coefficient, and calculating the microgrid DC bus carbon potential based on the weight coefficient;

[0070] In another optional embodiment, the first calculation can also be a time-based fixed-weight calculation, that is, the operating day is divided into multiple time periods, and a fixed weight is preset for each time period to obtain the carbon potential of the microgrid DC bus, which is suitable for scenarios with strong regularity in photovoltaic output.

[0071] In the embodiment of the present application, the first calculation is to perform a weighted average of the carbon potential of the power injected from the AC bus of the power supply station to the DC bus and the carbon potential of the distributed generation power according to the corresponding power supply power;

[0072] Specifically, when the AC bus of the power supply station injects power into the DC bus, the calculation formulas for the carbon potential of the microgrid DC bus and the carbon potential of the AC bus of the power supply station are:

[0073] E L-AC =E SJDW

[0074]

[0075] Among them, E L-AC is the carbon potential of the AC busbar of the power supply station, in kgCO2 / kWh, E L-DC is the carbon potential of the microgrid DC bus, unit is kgCO2 / kWh, P1 is the power injected from the power supply station AC bus to the DC bus, unit is kW, P DG is the power generated by the microgrid DG, in kW, E SJDWis the carbon potential of the upper-level power grid area.

[0076] Furthermore, when there is excess renewable energy power generation in the zero-carbon power supply station microgrid (surplus power is connected to the grid), the microgrid DC bus injects power into the power supply station AC bus. At this time, the carbon potential of the microgrid DC bus is equal to the carbon potential of the distributed power generation power, that is, 0. The carbon potential of the power supply station AC bus is obtained through the second calculation operation.

[0077] In an optional embodiment, the second calculation may be a dynamic return ratio calculation, that is, real-time monitoring of the DC bus return power and the grid power, calculating the dynamic weight, and calculating the AC bus carbon potential of the power supply station based on the dynamic weight;

[0078] In another optional embodiment, the second calculation may also be a net metering segment calculation, that is, a return power segment threshold is set, and different calculation strategies are used for each segment.

[0079] In the embodiment of the present application, the second calculation is to perform a weighted average of the carbon potential of the power injected from the microgrid DC bus to the AC bus of the power supply station and the carbon potential of the power from the upper power grid according to the corresponding power supply power;

[0080] Specifically, when the microgrid DC bus injects power into the power station AC bus, the calculation formulas for the carbon potential of the microgrid DC bus and the power station AC bus are:

[0081] E L-DC =0

[0082]

[0083] Among them, P2 is the power injected from the DC bus of the microgrid to the AC bus of the power supply station, in kW, and P SJDW The power output from the upper power grid, in kW.

[0084] It should be noted that the above step S300 dynamically judges the output of distributed power generation and intelligently adjusts the carbon potential calculation strategy to achieve accurate calculation of the bus carbon potential under the new energy fluctuation scenario, effectively solving the problem of inaccurate carbon potential assessment of traditional methods when power generation is insufficient or excessive, and providing a reliable basis for low-carbon scheduling of power supply stations.

[0085] Example 2, reference Figure 5 Based on the previous embodiment, this embodiment provides an application example of a method, system, equipment and medium for calculating the carbon potential of a zero-carbon power supply station busbar, to verify and illustrate the technical effects adopted in this method.

[0086] This example uses a power supply station in the south as an example to introduce the calculation of busbar carbon potential. Figure 5As shown, the AC loads on floors 1 to 5 of the power station are connected to the AC380V bus. When the DG output is insufficient to maintain the power station's load supply, the upper-level grid discharges energy to the power station's AC380V bus through the XP power station's charging station transformer. The power station's microgrid structure includes rooftop photovoltaics, carport photovoltaics, wind turbines, energy storage, and bidirectional charging stations. All equipment within the microgrid is connected to the DC750V bus. The power station's DC loads, such as air conditioners and lighting, are connected to the DC220V bus. The AC380V bus is connected to the DC750V bus via a flexible bidirectional converter. The DC750V bus is connected to the DC220V bus via a DC / DC converter. Since power measurement equipment is not currently installed at the branch where the bidirectional charging column is located and at the node where the upper-level grid discharges power to the power station's DC750V bus via the XX upper-level transformer, the impact of the power flow of the bidirectional charging column and the power discharge from the upper-level grid to the power station's DC750V bus via the XX upper-level transformer on subsequent calculations are not considered.

[0087] Because the DC loads in the power supply station consume electricity, the energy injected into the DC220V bus comes from the DC750V bus, resulting in the same carbon potential for the DC220V and DC750V buses. Because power flows in different directions between the AC380V and DC750V buses, the carbon potential of these two interconnected buses needs to be calculated based on actual conditions and the building-level carbon flow calculation principle.

[0088] This embodiment selects a typical working day of the XP power supply station, uses hourly measurement intervals to count the hourly power of each device from 0:00 to 7:00 on that working day, and calculates the hourly carbon potential of the AC380V bus and DC750V bus.

[0089] ①AC380V busbar hourly carbon potential

[0090] When the upper-level power grid supplies power to the power supply station through the public transformer of the XP power supply station charging pile, the power flowing through the public variable measuring point of the XP power supply station charging pile at this time is defined as a positive value; when the microgrid has excess new energy generation and needs to return electricity to the upper-level power grid, the power flowing through the public variable measuring point of the XP power supply station charging pile at this time is defined as a negative value.

[0091] The hourly carbon potential of the AC380V bus can be calculated based on the carbon potential of the power flowing through the flexible bidirectional converter and the corresponding carbon potentials of the on- and off-grid power of the XP power station charging station's public transformer. The carbon potential of the upper-level grid, i.e., the off-grid power of the XP power station's public transformer, is assumed to be 0.451 kgCO2 / kWh. When the microgrid is experiencing insufficient renewable energy generation, the power flowing through the flexible bidirectional converter injects power from the AC380V bus into the DC750V bus, and the power at this time is defined as negative. When the microgrid is experiencing excess renewable energy generation, the power flowing through the flexible bidirectional converter injects power from the DC750V bus into the AC380V bus, and the power at this time is defined as positive. The hourly carbon potential of the AC380V bus from 0:00 to 7:00 is shown in Table 1.

[0092] Table 1: Hourly carbon potential calculation results of AC380V busbar from 0:00 to 7:00

[0093]

[0094] ②DC750V busbar hourly carbon potential

[0095] The hourly carbon potential of the DC750V bus can be calculated based on the carbon potential of the power flowing through the flexible bidirectional converter, the carbon potential of the DG power generation, and the corresponding carbon potential of the energy storage device power. Assuming that before period 0, the internal energy storage device stored 100 kWh of energy, the carbon potential of the stored energy is 0.451 kgCO2 / kWh. The calculation results are shown in Table 2.

[0096] Table 2: Hourly carbon potential calculation results of DC750V bus from 0:00 to 7:00

[0097]

[0098] It can be seen from the above embodiments that the method provided by the present invention fully considers the impact of fluctuations in renewable energy power generation on the bus carbon potential, and formulates calculation strategies according to different situations. When renewable energy power generation is insufficient, the carbon potential of the AC bus of the power station is the carbon potential of the upper power grid; when renewable energy power generation is in excess, the carbon potential of the microgrid DC bus is 0, and the carbon potential of the AC bus of the power station is calculated based on this, so that the carbon potential calculation is closer to the actual situation and the accuracy of the calculation is improved. And through the method of the present invention, the zero-carbon power station can more accurately grasp the changes in the bus carbon potential, thereby adjusting the energy management strategy according to the carbon potential data, which helps the zero-carbon power station to achieve more environmentally friendly and efficient operation. In addition, by accurately calculating the bus carbon potential, the present invention allows the zero-carbon power station to have a clearer understanding of its own carbon emissions, and then take targeted emission reduction measures, which helps to enhance the environmental image of the zero-carbon power station and promote its competitiveness in the energy market.

[0099] Example 3: This embodiment provides a zero-carbon power supply station busbar carbon potential calculation system, including a network structure determination module, a data acquisition module, and a carbon potential calculation module;

[0100] Specifically, the network structure determination module is used to determine the first network structure for busbar carbon potential calculation by considering the power supply structure of the DC microgrid participating in the power supply;

[0101] Specifically, the data acquisition module is used to collect first distributed power generation output data based on the first network structure;

[0102] Specifically, the carbon potential calculation module is used to perform a first judgment based on the first distributed power generation output data, and obtain the carbon potential of the microgrid DC bus and the carbon potential of the power station AC bus through the result of the first judgment.

[0103] It should be noted that the technical solution of the zero-carbon power supply station bus carbon potential calculation system and the technical solution of the above-mentioned zero-carbon power supply station bus carbon potential calculation method belong to the same concept. For details not described in detail in the technical solution of the zero-carbon power supply station bus carbon potential calculation system in this embodiment, please refer to the description of the technical solution of the above-mentioned zero-carbon power supply station bus carbon potential calculation method.

[0104] The above-mentioned unit modules can be embedded in or independent of the processor in the electronic device in the form of hardware, or can be stored in the memory of the electronic device in the form of software, so that the processor can call and execute the corresponding operations of the above-mentioned modules.

[0105] This embodiment also provides an electronic device, which includes a processor, a memory, a communication interface, a display screen and an input device connected via a system bus. The processor of the electronic device is used to provide computing and control capabilities. The memory of the electronic device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the electronic device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, an operator network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a method for calculating the carbon potential of a zero-carbon power supply station bus is implemented. The display screen of the electronic device can be a liquid crystal display screen or an electronic ink display screen, and the input device of the electronic device can be a touch layer covering the display screen, or a button, trackball or touchpad provided on the housing of the electronic device, or an external keyboard, touchpad or mouse.

[0106] This embodiment further provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the method proposed in the above embodiment is implemented.

[0107] The storage medium proposed in this embodiment and the method proposed in the above embodiment belong to the same inventive concept. For technical details not fully described in this embodiment, please refer to the above embodiment, and this embodiment has the same beneficial effects as the above embodiment.

[0108] Through the above description of the implementation methods, those skilled in the art can clearly understand that the present invention can be implemented with the help of software and necessary general-purpose hardware, and of course it can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as a computer floppy disk, read-only memory (ROM), random access memory (RAM), flash memory (FLASH), hard disk or optical disk, etc., including a number of instructions for enabling an electronic device (which can be a personal computer, server, or network device, etc.) to execute the method of the embodiment of the present invention.

[0109] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

[0110] Those skilled in the art will appreciate that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the application can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code. The scheme in the embodiment of the present application can be implemented in various computer languages.

[0111] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the steps in the process. Figure 1a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0112] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0113] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0114] Although the preferred embodiments of the present application have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present application.

[0115] Obviously, those skilled in the art may make various changes and modifications to this application without departing from the spirit and scope of this application. Thus, if these modifications and variations of this application fall within the scope of the claims of this application and their equivalents, this application is intended to include these modifications and variations.

Claims

1. A method for calculating the carbon potential of a zero-carbon power supply station bus, characterized in that: include: Considering the power supply structure of the DC microgrid, determine the first network structure for busbar carbon potential calculation; Based on the first network structure, collecting first distributed power generation output data; A first judgment is performed based on the first distributed power generation output data, and the carbon potential of the microgrid DC bus and the carbon potential of the power station AC bus are obtained based on the result of the first judgment.

2. A method for calculating the carbon potential of a zero-carbon power supply station bus as claimed in claim 1, characterized in that: The first judgment includes: If the renewable energy power generation in the first distributed power generation output data does not meet the first load power supply condition, it means that the AC bus of the power supply station injects power into the DC bus at this time; If the renewable energy power generation in the first distributed power generation output data exceeds a first threshold range, it means that the microgrid DC bus is injecting power into the power supply station AC bus.

3. A method for calculating the carbon potential of a zero-carbon power supply station bus as claimed in claim 2, characterized in that: The obtaining of the carbon potential of the microgrid DC bus and the AC bus of the power station comprises: When the AC bus of the power supply station injects power into the DC bus, the carbon potential of the AC bus of the power supply station is the carbon potential of the upper-level power grid station, and the carbon potential of the DC bus of the microgrid is obtained through the first calculation operation.

4. A method for calculating the carbon potential of a zero-carbon power supply station bus as claimed in claim 3, characterized in that: The obtaining of the carbon potential of the microgrid DC bus and the AC bus of the power station further includes: When the microgrid DC bus injects power into the power station AC bus, the carbon potential of the microgrid DC bus is equal to the carbon potential of the distributed generation power, and the carbon potential of the power station AC bus is obtained through a second calculation operation.

5. The method for calculating the carbon potential of a zero-carbon power supply station bus as claimed in claim 1, characterized in that: The first network structure for determining busbar carbon potential calculation includes: The first network structure of the power supply station in which the DC microgrid participates in power supply is an AC / DC bus interconnection model, that is, the AC load of the power supply station and the upper-level AC power grid are connected to the AC bus through several substations, and the distributed power supply, energy storage device, and DC load of the DC microgrid are all connected to the DC bus.

6. A method for calculating the carbon potential of a zero-carbon power supply station bus as claimed in claim 5, characterized in that: Based on the first network structure, the calculation order of the bus carbon potential is determined by obtaining the power flow direction between the interconnected busbars, and the carbon potential of the interconnected busbars is calculated in sequence according to the calculation order of the bus carbon potential.

7. A method for calculating the carbon potential of a zero-carbon power supply station bus as claimed in claim 6, characterized in that: The first distributed power generation output data includes but is not limited to three-phase voltage, three-phase current, total active power, node carbon potential and output carbon flow rate at each metering point.

8. A zero-carbon power supply station busbar carbon potential calculation system, using a zero-carbon power supply station busbar carbon potential calculation method according to any one of claims 1 to 7, characterized in that: include: A network structure determination module is used to determine the first network structure for busbar carbon potential calculation by considering the power supply structure of the DC microgrid; A data acquisition module, configured to acquire first distributed power generation output data based on the first network structure; The carbon potential calculation module is used to make a first judgment based on the first distributed power generation output data, and obtain the carbon potential of the microgrid DC bus and the carbon potential of the power supply station AC bus through the result of the first judgment.

9. An electronic device comprising a memory and a processor, characterized in that: The memory is used to store computer-executable instructions, and when the processor executes the computer-executable instructions, it implements the steps of the method for calculating the carbon potential of a zero-carbon power supply station bus as described in any one of claims 1 to 7.

10. A computer-readable storage medium having computer-executable instructions stored thereon, characterized in that: When the computer executable instructions are executed by a processor, the steps of the method for calculating the carbon potential of a zero-carbon power supply station busbar are realized as described in any one of claims 1 to 7.

Images