Substation area new energy consumption method based on multi-party cooperation

Abstract

The invention provides a transformer substation area new energy consumption method based on multi-party cooperation. The consumption method specifically comprises the steps of performing statistics on tie line information, distributed energy information, load information and energy storage device information of a target transformer substation area; predicting the new energy generating capacity and the load demand in the target substation area based on the distributed energy information and the load information, and determining an excess consumption demand according to the prediction result of the new energy generating capacity and the load demand; and determining a new energy consumption invitation object and a corresponding invitation priority based on the energy storage device information, the load information and the tie line information of the target substation area, sending a consumption reservation to the new energy consumption invitation object according to a set sequence, and performing excess consumption demand consumption on an energy storage side, a load side and a network side. According to the invention, on the premise that the load side and the energy storage side participate in new energy output consumption, the network side is also added into new energy output consumption, and full consumption of new energy is guaranteed.

Description

Technical Field

[0001] The present invention relates to the field of new energy consumption technology, and in particular to a method for consuming new energy in a substation area based on multi-party collaboration. Background Art

[0002] The introduction of photovoltaic power generation technology in substations can not only significantly reduce dependence on traditional energy, but also has great significance for reducing carbon emissions, protecting the environment and responding to climate change. Although photovoltaic power generation has great potential, its intermittent and random output characteristics have brought severe challenges to the stable operation of the power grid. Specifically, there are many cases of single-phase or two-phase photovoltaic access, which is easy to cause three-phase imbalance; and photovoltaic power generation usually lacks sufficient reactive power support capacity, which is easy to reduce the voltage stability margin of the power grid after grid connection and increase the operation risk of the power grid; in addition, with the access of large-scale distributed photovoltaic power sources, the power grid's flow mode has changed from the traditional unidirectional mode to the bidirectional mode, which undoubtedly increases the complexity and difficulty of grid dispatching. Therefore, improving the local consumption capacity of photovoltaic power generation to improve the problems caused by large-scale photovoltaic power generation grid connection has important theoretical and practical significance for ensuring the stability, safety and economic operation of the power grid.

[0003] In order to improve the local absorption capacity of photovoltaic power generation, the Chinese invention patent with the publication number CN114914929A proposes a method for online full absorption of regional new energy based on substations. The invention can send a response invitation to users in the region that can absorb excess power when the photovoltaic power generation exceeds the load demand during the photovoltaic grid connection process, and deliver the excess power consumption to the invited customers within the agreed time. When the photovoltaic power is still not fully absorbed, it can also timely deploy emergency power supply vehicles, power supply cabins and other mobile energy storage stations to achieve full absorption. However, in the application process of this solution, since the response of users who can absorb excess power is difficult to estimate, and mobile energy storage stations such as emergency power supply vehicles and power supply cabins are oriented to the overall power grid, for one of the substation areas, its absorption capacity of new energy power generation in the substation area is also limited. That is, the instability of the response absorption capacity on the load side and the photovoltaic absorption capacity on the energy storage side is strong. Once the response rate is low or the storage margin of the mobile energy storage station is low, it will lead to the problem that the photovoltaic output cannot be fully absorbed. Summary of the invention

[0004] The purpose of the present invention is to overcome the disadvantage that when regional photovoltaic absorption is carried out through the load side and the energy storage side in the prior art, the response absorption amount of the load side and the photovoltaic absorption amount of the energy storage side are highly unstable. Once the response rate is low or the energy storage margin of the mobile energy storage station is low, the photovoltaic output cannot be fully absorbed. A substation regional new energy absorption method based on multi-party collaboration is provided. On the premise that the load side and the energy storage side participate in the new energy output absorption, the grid side is also added to the new energy output absorption. With the addition of the grid side, the new energy absorption results will no longer be affected by the instability of the absorption amount of the load side and the energy storage side, thereby ensuring the full absorption of new energy. The order in which the load side, the energy storage side and the grid side participate in the new energy absorption is further set, so as to ensure the full absorption of new energy and the efficiency of new energy absorption.

[0005] The purpose of the present invention is achieved through the following technical solutions:

[0006] A method for absorbing new energy in a substation area based on multi-party collaboration, comprising:

[0007] Collect information on interconnection lines, distributed energy, loads and energy storage devices in the target substation area;

[0008] Based on the distributed energy information and load information, the renewable energy power generation and load demand in the target substation area are predicted, and the excess consumption demand is determined according to the prediction results of renewable energy power generation and load demand;

[0009] Based on the energy storage device information, load information and interconnection line information in the target substation area, the objects of invitation for new energy consumption and the corresponding invitation priority are determined. In accordance with the set order, consumption appointments are issued to the objects of invitation for new energy consumption, and excess consumption demand is consumed on the energy storage side, load side and grid side.

[0010] This plan takes the load side, energy storage side and grid side as the objects of new energy consumption. When the load side and energy storage side cannot fully consume the excess consumption demand of new energy, the remaining excess consumption demand can be further consumed on the grid side to achieve full consumption of new energy. In addition, considering the different energy losses and consumption efficiencies of different consumption methods, the order of participating in the consumption of excess consumption demand by energy storage side, load side and grid side is further set to ensure the consumption efficiency and minimize the losses generated in the process of new energy consumption.

[0011] Furthermore, the determination of the new energy consumption invitation object and the corresponding invitation priority based on the energy storage device information, load information and tie line information of the target substation area includes:

[0012] Determine the effective power supply area of ​​the target substation, obtain other substations in the effective power supply area, and count the information of the tie lines in the effective power supply area according to the tie line settings between the target substation and other substations;

[0013] According to the information of the interconnection line, other substations are divided into interconnection substations and independent substations, and the interconnection substations are invited to consume new energy on the grid side;

[0014] Determine the location information of each contact substation, and obtain the renewable energy power generation of each contact substation in the corresponding effective power supply area, so as to classify the renewable energy access ratio of the contact substation, and add corresponding renewable energy access ratio category labels to the contact substation according to the classification results;

[0015] Determine the total load of each contact substation to classify the load demand of the contact substation, and add corresponding load demand category labels to the contact substation according to the classification results;

[0016] The invitation priority of each contact substation is determined according to the added new energy access ratio category label and load demand category label.

[0017] For the neighboring substations of the target substation, statistics are collected on their corresponding renewable energy access ratios, load demands and other information. Through the renewable energy access ratios and load demands, their capabilities to accept and absorb external renewable energy output can be judged. Therefore, when setting the invitation priority later, their capabilities to accept and absorb external renewable energy output can be judged based on their specific renewable energy access ratio classification results and load demand classification results. The stronger their capabilities to accept and absorb external renewable energy output, the higher their invitation priority. When neighboring substations are needed to participate in the absorption of excess demand in the future, neighboring substations with high invitation priorities can be given priority.

[0018] Furthermore, the determination of the new energy consumption invitation object and the corresponding invitation priority based on the energy storage device information, load information and tie line information of the target substation area includes:

[0019] Determine the adjustable load in the target substation area according to the load information, retrieve the historical load regulation data and response data of each adjustable load, and obtain the regulation amount and response rate of the adjustable load in each time period;

[0020] Determine the consumption time period corresponding to the current excess consumption demand consumption, screen the adjustable loads based on their response rate in each time period, and select the adjustable loads whose response rate exceeds the preset threshold as the new energy consumption invitation objects on the load side;

[0021] The corresponding control amount and response rate are weighted and calculated to obtain the control capability evaluation value of each screened controllable load, and the control capabilities are sorted based on the control capability evaluation value. The invitation priority of each screened controllable load is determined according to the sorting result.

[0022] Furthermore, the determination of the new energy consumption invitation object and the corresponding invitation priority based on the energy storage device information, load information and tie line information of the target substation area includes:

[0023] Identify all energy storage devices in the target substation area and establish real-time energy storage margin communication with each energy storage device;

[0024] Screen out energy storage devices that currently have energy storage margins, and determine the energy storage plan and corresponding energy storage progress for each screened energy storage device;

[0025] Determine the consumption time period corresponding to the current excess consumption demand consumption, and based on the energy storage plan and corresponding energy storage progress of each screened energy storage device, screen out energy storage devices with energy storage margins within the consumption time period corresponding to the current excess consumption demand consumption, and use the secondarily screened energy storage devices as the new energy consumption invitation objects on the energy storage side;

[0026] Determine the actual energy storage margin of each secondary screened energy storage device after completing the corresponding energy storage plan within the consumption time period, sort the secondary screened energy storage devices based on the actual energy storage margin, and determine the invitation priority of each secondary screened energy storage device according to the sorting result.

[0027] Since the energy storage equipment faces the entire power grid, during the absorption period of the target substation, the energy storage equipment may also need to bear the energy storage tasks of other substation areas. Therefore, in view of this situation, the energy storage equipment is screened again to ensure that when the energy storage equipment is used to absorb excess demand, its scheduling can be implemented smoothly.

[0028] Furthermore, the above-mentioned absorbing excess demand on the energy storage side, the load side and the grid side according to the set order includes:

[0029] When absorbing excess demand on the load side according to the set sequence;

[0030] Obtain the current demand for excess consumption, and based on the consumption time period corresponding to the consumption of excess consumption, send a new energy consumption invitation to each dispatchable load in turn according to the invitation priority;

[0031] According to the response of each dispatchable load to the invitation for new energy consumption, determine the maximum dispatchable total amount of all dispatchable loads participating in the consumption of excess demand within the consumption time period corresponding to the consumption of excess demand;

[0032] Compare the maximum dispatchable total with the current demand for absorbing excess demand;

[0033] If the maximum dispatchable total amount exceeds the current demand for excess consumption, the consumption amount of each dispatchable load that responds to the new energy consumption invitation shall be set according to the invitation priority based on the current demand for excess consumption;

[0034] If the current demand for excess absorption demand exceeds the maximum dispatchable total amount, the absorption capacity of each dispatchable load that responds to the invitation for new energy absorption is set according to the maximum dispatchable total amount, and the value by which the demand for excess absorption demand exceeds the maximum dispatchable total amount is calculated. In accordance with the set order, the calculated value is used as the demand for the next excess absorption demand participating in the absorption of excess demand.

[0035] Furthermore, the above-mentioned absorbing excess demand on the energy storage side, the load side and the grid side according to the set order includes:

[0036] When absorbing excess demand on the energy storage side according to the set order;

[0037] Calculate the total energy storage margin of all energy storage devices involved in absorbing excess demand during the absorption period corresponding to the absorption of excess demand, and obtain the current demand for absorbing excess demand;

[0038] Compare the total energy storage margin and the required amount;

[0039] If the total amount of energy storage surplus exceeds the demand, then in the consumption time period corresponding to the excess demand consumption, based on the invitation priority of the new energy consumption invitation object on the energy storage side, the new energy consumption invitation is sent to the corresponding energy storage equipment in turn, and the energy storage equipment that receives the new energy consumption invitation starts to store energy;

[0040] If the demand exceeds the total amount of energy storage margin, then in the consumption time period corresponding to the excess demand consumption, a new energy consumption invitation is sent to all new energy consumption invitation objects on the energy storage side. The energy storage equipment that receives the new energy consumption invitation starts to store energy, and the value of the excess demand consumption exceeding the total amount of energy storage margin is calculated. According to the set order, the calculated value is used as the demand of the next excess demand consumption participating in the excess demand consumption.

[0041] Furthermore, the excess demand absorption is performed on the energy storage side, the load side and the grid side in accordance with the set order, including, when absorbing the excess demand on the grid side in accordance with the set order, obtaining the current demand for excess demand absorption, and establishing an appointment with each contacted substation in turn according to the invitation priority, and calculating in real time the total absorption capacity of the contacted substations for establishing the appointment, and stopping the appointment establishment operation when the total absorption capacity reaches the current demand for excess demand absorption.

[0042] Furthermore, the above-mentioned absorbing excess demand on the energy storage side, the load side and the grid side in a set order also includes:

[0043] Obtain the consumption time period corresponding to the current excess consumption demand, and set the corresponding consumption scenario according to the excess consumption demand and the consumption time period;

[0044] Based on the consumption efficiency, energy loss and response speed of the energy storage side and the load side in the consumption scenario, the consumption capacity values ​​of the energy storage side and the load side in the consumption scenario are calculated respectively by weighted summation;

[0045] The order in which the energy storage side and the load side participate in absorbing excess demand is set according to the absorption capacity value, and the order in which the grid side participates in absorbing excess demand is set to the last.

[0046] Since the grid side has the largest absorption loss and the acceptable absorption capacity is the largest, the grid side is arranged last. Even if the energy storage side and the load side do not fully absorb the excess absorption demand, they can still absorb the unabsorbed part.

[0047] However, the absorption capacities of the energy storage side and the load side are different in different time periods and different absorption amounts. For example, during the daytime on weekdays, especially during the peak working hours in the morning and afternoon, the electricity demand will increase due to the increase in industrial and commercial electricity loads. Then the corresponding load value of the dispatchable load will also increase. For the absorption of excess demand, it can participate with higher absorption efficiency and higher response speed. During the daytime, in order to respond to the higher electricity demand, energy storage equipment may participate in the dispatching discharge. At this time, its response speed is lower, and its absorption capacity value in this absorption scenario is lower than that on the load side. At this time, the order of the load side, energy storage side and grid side can be set to the set order.

[0048] Furthermore, the prediction of the renewable energy generation and load demand in the target substation area based on the distributed energy information and load information includes:

[0049] Determine the historical new energy generation information of the target substation area based on the distributed energy information, and determine the historical load information of the target substation area based on the load information;

[0050] Set the forecast time period and obtain the weather information of the target substation area within the forecast time period;

[0051] Construct an ultra-short-term photovoltaic power combination prediction model based on BiLSTM, input weather information and historical renewable energy power generation information, and obtain renewable energy power generation in the target substation area within the prediction period;

[0052] An ultra-short-term load forecasting model of the temporal convolutional network is constructed, and weather information and historical load information are input to obtain the load forecast demand of the target substation area within the forecast period.

[0053] The beneficial effects of the present invention are:

[0054] On the premise that the load side and the energy storage side participate in the consumption of new energy, the grid side is also included in the consumption of new energy. The strong consumption capacity of the grid side can solve the problem of unstable and difficult to control consumption on the load side and the energy storage side. The grid side can fully consume the remaining consumption demand after the consumption on the load side and the energy storage side, ensuring the full consumption of new energy. While ensuring the full consumption of new energy, taking into account the different consumption efficiencies of the load side, the energy storage side and the grid side when participating in the consumption of new energy, the order of the load side, the energy storage side and the grid side participating in the consumption of new energy is further set to ensure the efficiency of new energy consumption. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Figure 1 It is a schematic diagram of a process of the present invention;

[0056] Figure 2 It is a schematic diagram of photovoltaic power generation in a target substation area and power consumption on each side of the grid-load-storage according to an embodiment of the present invention. DETAILED DESCRIPTION

[0057] The present invention is further described below in conjunction with the accompanying drawings and embodiments.

[0058] Example:

[0059] A method for accommodating new energy in substation areas based on multi-party collaboration, such as Figure 1 As shown, including

[0060] Collect information on interconnection lines, distributed energy, loads and energy storage devices in the target substation area;

[0061] Based on the distributed energy information and load information, the renewable energy power generation and load demand in the target substation area are predicted, and the excess consumption demand is determined according to the prediction results of renewable energy power generation and load demand;

[0062] Based on the energy storage device information, load information and interconnection line information in the target substation area, the objects of invitation for new energy consumption and the corresponding invitation priority are determined. In accordance with the set order, consumption appointments are issued to the objects of invitation for new energy consumption, and excess consumption demand is consumed on the energy storage side, load side and grid side.

[0063] Due to different forecast results of renewable energy power generation and load demand in different meteorological environments and time periods, the excess absorption demand presented is different. On the energy storage side, load side and grid side, the corresponding new energy invitation objects and their invitation priorities are different for different time periods and different excess absorption demands. Therefore, before each excess absorption demand is absorbed, it is necessary to re-determine the new energy invitation objects and the corresponding invitation priorities.

[0064] The determining of the new energy consumption invitation object and the corresponding invitation priority based on the energy storage device information, load information and tie line information of the target substation area includes:

[0065] Determine the effective power supply area of ​​the target substation, obtain other substations in the effective power supply area, and count the information of the tie lines in the effective power supply area according to the tie line settings between the target substation and other substations;

[0066] According to the information of the interconnection line, other substations are divided into interconnection substations and independent substations, and the interconnection substations are invited to consume new energy on the grid side;

[0067] Determine the location information of each contact substation, and obtain the renewable energy power generation of each contact substation in the corresponding effective power supply area, so as to classify the renewable energy access ratio of the contact substation, and add corresponding renewable energy access ratio category labels to the contact substation according to the classification results;

[0068] Determine the total load of each contact substation to classify the load demand of the contact substation, and add corresponding load demand category labels to the contact substation according to the classification results;

[0069] The invitation priority of each contact substation is determined according to the added new energy access ratio category label and load demand category label.

[0070] After determining the effective power supply area of ​​the target substation, the interconnection line information within the effective power supply area can be determined by judging whether it is a interconnection line, thereby determining the substation that can receive the excess demand. The substation that can receive the excess demand is a interconnection substation, and the substation that cannot receive its excess demand is an independent substation. Specifically, in this embodiment, the substation category is divided by counting the 10kV interconnection line information.

[0071] After obtaining the contact substation, in order to determine its ability to receive excess demand, further determine its new energy power generation and total load in its corresponding effective power supply area, so as to determine its new energy access ratio and load demand.

[0072] Specifically, in this embodiment, after classifying the proportion of new energy access to the connected substations, the connected substations can be specifically divided into low-proportion new energy access substations, medium-proportion new energy access substations and high-proportion new energy access substations, and corresponding new energy access proportion category labels are added based on the results.

[0073] After classifying the load demands of the interconnected substations, the interconnected substations can be specifically divided into low load demand substations, medium load demand substations and high load demand substations, and corresponding load demand category labels are added according to the results.

[0074] The addition of the new energy access ratio category label and the load demand category label here are independent of each other. When the invitation priority of contacting the substation is carried out later, the new energy access ratio category label and the load demand category label are also considered independently. Specifically, the basis for determining the invitation priority is: new energy access scale > load demand.

[0075] The determining of the new energy consumption invitation object and the corresponding invitation priority based on the energy storage device information, load information and tie line information of the target substation area includes:

[0076] Determine the adjustable load in the target substation area according to the load information, retrieve the historical load regulation data and response data of each adjustable load, and obtain the regulation amount and response rate of the adjustable load in each time period;

[0077] Determine the consumption time period corresponding to the current excess consumption demand consumption, screen the adjustable loads based on their response rate in each time period, and select the adjustable loads whose response rate exceeds the preset threshold as the new energy consumption invitation objects on the load side;

[0078] The corresponding control amount and response rate are weighted and calculated to obtain the control capability evaluation value of each screened controllable load, and the control capabilities are sorted based on the control capability evaluation value. The invitation priority of each screened controllable load is determined according to the sorting result.

[0079] When determining the adjustable load, first count the 10kV load information in the target substation area for the past year to help determine the adjustable load. In addition, the adjustable load has different control amounts and response rates in different time periods. In order to ensure the dispatch efficiency of the subsequent dispatchable load, first determine the corresponding time period for the excess demand absorption, and then determine the response rate of each dispatchable load in the time period. Exclude the dispatchable load with a low response rate first to improve the efficiency of the invitation.

[0080] Since there may be a situation in the future where only a part of the adjustable loads are needed to absorb excess demand, in order to ensure the absorption efficiency of such scenarios, the invitation priority of the adjustable loads is evaluated. When the invitation for new energy absorption is subsequently initiated to the adjustable loads, the invitation order can be determined based on the invitation priority.

[0081] The determining of the new energy consumption invitation object and the corresponding invitation priority based on the energy storage device information, load information and tie line information of the target substation area includes:

[0082] Identify all energy storage devices in the target substation area and establish real-time energy storage margin communication with each energy storage device;

[0083] Screen out energy storage devices that currently have energy storage margins, and determine the energy storage plan and corresponding energy storage progress for each screened energy storage device;

[0084] Determine the consumption time period corresponding to the current excess consumption demand consumption, and based on the energy storage plan and corresponding energy storage progress of each screened energy storage device, screen out energy storage devices with energy storage margins within the consumption time period corresponding to the current excess consumption demand consumption, and use the secondarily screened energy storage devices as the new energy consumption invitation objects on the energy storage side;

[0085] Determine the actual energy storage margin of each secondary screened energy storage device after completing the corresponding energy storage plan within the consumption time period, sort the secondary screened energy storage devices based on the actual energy storage margin, and determine the invitation priority of each secondary screened energy storage device according to the sorting result.

[0086] The energy storage equipment includes electric vehicles, energy storage cabinets and energy storage power stations. Since such energy storage equipment generally faces the overall power grid, a real-time communication mechanism for energy storage margin is established for such energy storage equipment to determine its real-time energy storage margin in the corresponding absorption time period to determine whether it can participate in the absorption of excess demand.

[0087] And because mobile energy storage devices such as electric vehicles do not necessarily face only one substation area, but face the entire power grid, they may need to execute the energy storage plans of other substations before during the consumption period. Therefore, first select energy storage devices that still have energy storage margin after executing all other energy storage plans. Although such energy storage devices can adjust the energy storage speed by adjusting parameters such as input power, for the safety of the equipment, it is still necessary to reserve a certain amount of time to complete the consumption of excess consumption demand in the target substation area. Therefore, the energy storage progress of energy storage devices with other energy storage plans is also determined, so as to judge whether the remaining time can participate in the consumption of excess consumption demand in the target substation area according to the energy storage progress.

[0088] Through two screenings of energy storage margin, actual energy storage margin and remaining time, the reliability of the energy storage side's participation in the absorption of excess demand in new energy invitation objects is guaranteed, and the safety of energy storage equipment is further guaranteed.

[0089] Similarly, there may be situations in the future where only some energy storage equipment is needed to absorb excess demand. In order to ensure the absorption efficiency of such scenarios, the invitation priority of the energy storage equipment is evaluated. When the energy storage equipment is subsequently invited to absorb new energy, the invitation order can be determined based on the invitation priority.

[0090] The above-mentioned method of absorbing excess demand on the energy storage side, the load side and the grid side in accordance with the set order includes:

[0091] When absorbing excess demand on the load side according to the set sequence;

[0092] Obtain the current demand for excess consumption, and based on the consumption time period corresponding to the consumption of excess consumption, send a new energy consumption invitation to each dispatchable load in turn according to the invitation priority;

[0093] According to the response of each dispatchable load to the invitation for new energy consumption, determine the maximum dispatchable total amount of all dispatchable loads participating in the consumption of excess demand within the consumption time period corresponding to the consumption of excess demand;

[0094] Compare the maximum dispatchable total with the current demand for absorbing excess demand;

[0095] If the maximum dispatchable total amount exceeds the current demand for excess consumption, the consumption amount of each dispatchable load that responds to the new energy consumption invitation shall be set according to the invitation priority based on the current demand for excess consumption;

[0096] If the current demand for excess absorption demand exceeds the maximum dispatchable total amount, the absorption capacity of each dispatchable load that responds to the invitation for new energy absorption is set according to the maximum dispatchable total amount, and the value by which the demand for excess absorption demand exceeds the maximum dispatchable total amount is calculated. In accordance with the set order, the calculated value is used as the demand for the next excess absorption demand participating in the absorption of excess demand.

[0097] The above-mentioned method of absorbing excess demand on the energy storage side, the load side and the grid side in accordance with the set order includes:

[0098] When absorbing excess demand on the energy storage side according to the set order;

[0099] Calculate the total energy storage margin of all energy storage devices involved in absorbing excess demand during the absorption period corresponding to the absorption of excess demand, and obtain the current demand for absorbing excess demand;

[0100] Compare the total energy storage margin and the required amount;

[0101] If the total amount of energy storage surplus exceeds the demand, then in the consumption time period corresponding to the excess demand consumption, based on the invitation priority of the new energy consumption invitation object on the energy storage side, the new energy consumption invitation is sent to the corresponding energy storage equipment in turn, and the energy storage equipment that receives the new energy consumption invitation starts to store energy;

[0102] If the demand exceeds the total amount of energy storage margin, then in the consumption time period corresponding to the excess demand consumption, a new energy consumption invitation is sent to all new energy consumption invitation objects on the energy storage side. The energy storage equipment that receives the new energy consumption invitation starts to store energy, and the value of the excess demand consumption exceeding the total amount of energy storage margin is calculated. According to the set order, the calculated value is used as the demand of the next excess demand consumption participating in the excess demand consumption.

[0103] The method comprises absorbing excess demand on the energy storage side, the load side and the grid side in accordance with the set order, including obtaining the current demand for excess demand when absorbing excess demand on the grid side in accordance with the set order, establishing an appointment with each contacted substation in turn according to the invitation priority, and calculating in real time the total absorption capacity of the contacted substations for establishing the appointment, and stopping the appointment establishment operation when the total absorption capacity reaches the current demand for excess demand.

[0104] The prediction of the renewable energy generation and load demand in the target substation area based on the distributed energy information and load information includes:

[0105] Determine the historical new energy generation information of the target substation area based on the distributed energy information, and determine the historical load information of the target substation area based on the load information;

[0106] Set the forecast time period and obtain the weather information of the target substation area within the forecast time period;

[0107] Construct an ultra-short-term photovoltaic power combination prediction model based on BiLSTM, input weather information and historical renewable energy power generation information, and obtain renewable energy power generation in the target substation area within the prediction period;

[0108] An ultra-short-term load forecasting model of the temporal convolutional network is constructed, and weather information and historical load information are input to obtain the load forecast demand of the target substation area within the forecast period.

[0109] In this embodiment, the weather information of the target substation area is the weather information of the effective power supply area corresponding to the target substation.

[0110] The ultra-short-term photovoltaic power combination prediction model based on BiLSTM (bidirectional long short-term memory network) is an advanced model that combines BiLSTM neural network and photovoltaic power prediction technology. This model aims to improve the accuracy of photovoltaic power prediction, especially in ultra-short-term prediction.

[0111] Specifically, BiLSTM is an improved version of LSTM (Long Short-Term Memory Network), which introduces a bidirectional structure while retaining the long-term dependency modeling capability of LSTM. This means that BiLSTM can process time series data in both forward and backward directions, thereby better capturing the timing patterns and trends in the time series. In photovoltaic power forecasting, this feature enables BiLSTM to more effectively learn and process the complexity and dynamics of photovoltaic power data.

[0112] Specifically, the mapping relationship between the input sequence (such as the photovoltaic power values ​​in the past few time steps) and the output sequence (the photovoltaic power values ​​in the future) can be learned through historical renewable energy power generation data and corresponding weather data, and by training and optimizing network parameters.

[0113] After determining the forecast time period, the corresponding weather data is obtained, and after the weather data is input into the ultra-short-term photovoltaic power combination forecasting model that has been trained and learned, the forecast of new energy power generation can be realized. In this embodiment, the predicted new energy power generation is specifically measured in the form of photovoltaic power output.

[0114] Similarly, the ultra-short-term load forecasting model based on the temporal convolutional network can also be trained and parameter optimized according to the corresponding historical load information and weather information. After inputting the weather data of the forecast time period, its specific load forecasting requirements can be determined.

[0115] If the predicted renewable energy power generation is greater than the load forecast demand during the forecast period, it is determined that there is excess demand for consumption, and the excess demand for consumption is the difference between the renewable energy power generation and the load forecast demand.

[0116] The above-mentioned absorbing excess demand on the energy storage side, the load side and the grid side in accordance with the set order also includes:

[0117] Obtain the consumption time period corresponding to the current excess consumption demand, and set the corresponding consumption scenario according to the excess consumption demand and the consumption time period;

[0118] Based on the consumption efficiency, energy loss and response speed of the energy storage side and the load side in the consumption scenario, the consumption capacity values ​​of the energy storage side and the load side in the consumption scenario are calculated respectively by weighted summation;

[0119] The order in which the energy storage side and the load side participate in absorbing excess demand is set according to the absorption capacity value, and the order in which the grid side participates in absorbing excess demand is set to the last.

[0120] However, the absorption capacities of the energy storage side and the load side are different in different time periods and different absorption amounts. For example, during the daytime on weekdays, especially during the peak working hours in the morning and afternoon, the electricity demand will increase due to the increase in industrial and commercial electricity loads. Then the corresponding load value of the dispatchable load will also increase. For the absorption of excess demand, it can participate with higher absorption efficiency and higher response speed. During the daytime, in order to respond to the higher electricity demand, energy storage equipment may participate in the dispatching discharge. At this time, its response speed is lower, and its absorption capacity value in this absorption scenario is lower than that on the load side. At this time, the order of the load side, energy storage side and grid side can be set to the set order.

[0121] Taking a 110kV substation as the target substation, it is determined that the photovoltaic installed capacity of the substation in a certain year is 12MWp, and the maximum photovoltaic output is 10.8MW.

[0122] Taking the new energy consumption of the substation on a certain day as an example, its photovoltaic output, conventional load demand, energy storage charging power, adjustable load power, interconnection line transmission power and other energy parameters are shown in Table 1:

[0123] Table 1 Energy parameters of a 110kV substation on a certain day

[0124]

[0125] Combining the energy parameters in Table 1, we can get the comparison diagram of photovoltaic power generation in the target substation area and the power consumption on each side of the grid-load-storage, as shown in the following figure: Figure 2 shown.

[0126] Depend on Figure 2 It can be seen that the photovoltaic power generation of the target substation can be fully absorbed.

[0127] Moreover, the method for absorbing new energy in a substation area based on multi-party collaboration described in this embodiment is highly versatile and can also be applied to other areas rich in new energy resources.

[0128] And because it is necessary to collect information about the neighboring substations of the target substation when conducting grid-side planning, this can also provide a data basis for establishing a regional coordination system. By establishing a regional coordination system, the distribution network flow can be adjusted to improve the voltage stability margin.

[0129] The above-described embodiment is only a preferred solution of the present invention and does not limit the present invention in any form. There are other variations and modifications without exceeding the technical solution described in the claims.

Claims

1. A method for accommodating new energy in a substation area based on multi-party collaboration, characterized in that: Including statistics on the interconnection line information, distributed energy information, load information and energy storage device information of the target substation area; Based on the distributed energy information and load information, the renewable energy power generation and load demand in the target substation area are predicted, and the excess consumption demand is determined according to the prediction results of renewable energy power generation and load demand; Based on the energy storage device information, load information and interconnection line information in the target substation area, the objects of invitation for new energy consumption and the corresponding invitation priority are determined. In accordance with the set order, consumption appointments are issued to the objects of invitation for new energy consumption, and excess consumption demand is consumed on the energy storage side, load side and grid side.

2. A method for accommodating new energy in a substation area based on multi-party collaboration according to claim 1, characterized in that: The determining of the new energy consumption invitation object and the corresponding invitation priority based on the energy storage device information, load information and tie line information of the target substation area includes: Determine the effective power supply area of ​​the target substation, obtain other substations in the effective power supply area, and count the information of the tie lines in the effective power supply area according to the tie line settings between the target substation and other substations; According to the information of the interconnection line, other substations are divided into interconnection substations and independent substations, and the interconnection substations are invited to consume new energy on the grid side; Determine the location information of each contact substation, and obtain the renewable energy power generation of each contact substation in the corresponding effective power supply area, so as to classify the renewable energy access ratio of the contact substation, and add corresponding renewable energy access ratio category labels to the contact substation according to the classification results; Determine the total load of each contact substation to classify the load demand of the contact substation, and add corresponding load demand category labels to the contact substation according to the classification results; The invitation priority of each contact substation is determined according to the added new energy access ratio category label and load demand category label.

3. A method for accommodating new energy in a substation area based on multi-party collaboration according to claim 1, characterized in that: The determining of the new energy consumption invitation object and the corresponding invitation priority based on the energy storage device information, load information and tie line information of the target substation area includes: Determine the adjustable load in the target substation area according to the load information, retrieve the historical load regulation data and response data of each adjustable load, and obtain the regulation amount and response rate of the adjustable load in each time period; Determine the consumption time period corresponding to the current excess consumption demand consumption, screen the adjustable loads based on their response rate in each time period, and select the adjustable loads whose response rate exceeds the preset threshold as the new energy consumption invitation objects on the load side; The corresponding control amount and response rate are weighted and calculated to obtain the control capability evaluation value of each screened controllable load, and the control capabilities are sorted based on the control capability evaluation value. The invitation priority of each screened controllable load is determined according to the sorting result.

4. A method for accommodating new energy in a substation area based on multi-party collaboration according to claim 1, characterized in that: The determining of the new energy consumption invitation object and the corresponding invitation priority based on the energy storage device information, load information and tie line information of the target substation area includes: Identify all energy storage devices in the target substation area and establish real-time energy storage margin communication with each energy storage device; Screen out energy storage devices that currently have energy storage margins, and determine the energy storage plan and corresponding energy storage progress for each screened energy storage device; Determine the consumption time period corresponding to the current excess consumption demand consumption, and based on the energy storage plan and corresponding energy storage progress of each screened energy storage device, screen out energy storage devices with energy storage margins within the consumption time period corresponding to the current excess consumption demand consumption, and use the secondarily screened energy storage devices as the new energy consumption invitation objects on the energy storage side; Determine the actual energy storage margin of each secondary screened energy storage device after completing the corresponding energy storage plan within the consumption time period, sort the secondary screened energy storage devices based on the actual energy storage margin, and determine the invitation priority of each secondary screened energy storage device according to the sorting result.

5. The method for accommodating new energy in a substation area based on multi-party collaboration according to claim 3 is characterized in that: The above-mentioned method of absorbing excess demand on the energy storage side, the load side and the grid side in accordance with the set order includes: When absorbing excess demand on the load side according to the set sequence; Obtain the current demand for excess consumption, and based on the consumption time period corresponding to the consumption of excess consumption, send a new energy consumption invitation to each dispatchable load in turn according to the invitation priority; According to the response of each dispatchable load to the invitation for new energy consumption, determine the maximum dispatchable total amount of all dispatchable loads participating in the consumption of excess demand within the consumption time period corresponding to the consumption of excess demand; Compare the maximum dispatchable total with the current demand for absorbing excess demand; If the maximum dispatchable total amount exceeds the current demand for excess consumption, the consumption amount of each dispatchable load that responds to the new energy consumption invitation shall be set according to the invitation priority based on the current demand for excess consumption; If the current demand for excess absorption demand exceeds the maximum dispatchable total amount, the absorption capacity of each dispatchable load that responds to the invitation for new energy absorption is set according to the maximum dispatchable total amount, and the value by which the demand for excess absorption demand exceeds the maximum dispatchable total amount is calculated. In accordance with the set order, the calculated value is used as the demand for the next excess absorption demand participating in the absorption of excess demand.

6. A method for accommodating new energy in a substation area based on multi-party collaboration according to claim 4, characterized in that: The above-mentioned method of absorbing excess demand on the energy storage side, the load side and the grid side in accordance with the set order includes: When absorbing excess demand on the energy storage side according to the set order; Calculate the total energy storage margin of all energy storage devices involved in absorbing excess demand during the absorption period corresponding to the absorption of excess demand, and obtain the current demand for absorbing excess demand; Compare the total energy storage margin with the required amount; If the total amount of energy storage surplus exceeds the demand, then in the consumption time period corresponding to the excess demand consumption, based on the invitation priority of the new energy consumption invitation object on the energy storage side, the new energy consumption invitation is sent to the corresponding energy storage equipment in turn, and the energy storage equipment that receives the new energy consumption invitation starts to store energy; If the demand exceeds the total amount of energy storage margin, then in the consumption time period corresponding to the excess demand consumption, a new energy consumption invitation is sent to all new energy consumption invitation objects on the energy storage side. The energy storage equipment that receives the new energy consumption invitation starts to store energy, and the value of the excess demand consumption exceeding the total amount of energy storage margin is calculated. According to the set order, the calculated value is used as the demand of the next excess demand consumption participating in the excess demand consumption.

7. A method for accommodating new energy in a substation area based on multi-party collaboration according to claim 2, characterized in that: The excess demand is absorbed on the energy storage side, the load side and the grid side in the set order. It includes, according to the set order, when absorbing excess demand on the grid side, obtaining the current demand for excess demand, and establishing an appointment with each contacted substation in turn according to the invitation priority, and calculating in real time the total absorption capacity of the contacted substations for establishing appointments, and stopping the appointment establishment operation when the total absorption capacity reaches the current demand for excess demand.

8. The method for accommodating new energy in a substation area based on multi-party collaboration according to claim 1 is characterized in that: The above-mentioned absorbing excess demand on the energy storage side, the load side and the grid side in accordance with the set order also includes: Obtain the consumption time period corresponding to the current excess consumption demand, and set the corresponding consumption scenario according to the excess consumption demand and the consumption time period; Based on the consumption efficiency, energy loss and response speed of the energy storage side and the load side in the consumption scenario, the consumption capacity values ​​of the energy storage side and the load side in the consumption scenario are calculated respectively by weighted summation; The order in which the energy storage side and the load side participate in absorbing excess demand is set according to the absorption capacity value, and the order in which the grid side participates in absorbing excess demand is set to the last.

9. The method for accommodating new energy in a substation area based on multi-party collaboration according to claim 1 is characterized in that: The method predicts the renewable energy generation and load demand in the target substation area based on the distributed energy information and load information. include, Determine the historical new energy generation information of the target substation area based on the distributed energy information, and determine the historical load information of the target substation area based on the load information; Set the forecast time period and obtain the weather information of the target substation area within the forecast time period; Construct an ultra-short-term photovoltaic power combination prediction model based on BiLSTM, input weather information and historical renewable energy power generation information, and obtain renewable energy power generation in the target substation area within the prediction period; An ultra-short-term load forecasting model of the temporal convolutional network is constructed, and weather information and historical load information are input to obtain the load forecast demand of the target substation area within the forecast period.

Images