A method and system for source network load storage collaborative optimization scheduling

Abstract

This invention relates to the field of distribution network dispatching technology, specifically to a method and system for coordinated optimization dispatching of power sources, grids, loads, and energy storage. The method includes: acquiring the operating power of power sources, loads, and energy storage at each time point, and acquiring the safe capacity of distribution transformers; acquiring the capacity pressure index at each time point based on the operating power of power sources, loads, and energy storage and the safe capacity of distribution transformers, and then selecting the corresponding high-voltage time points; acquiring the coordinated pressure reduction coefficient of power sources, loads, and energy storage at each time point based on the operating power of power sources, loads, and energy storage at the corresponding high-voltage time points, and combining this with the capacity pressure index at each time point to acquire the urgency of coordinated dispatching at each time point, thereby acquiring the dispatching time; and adjusting the operating power of power sources, loads, and energy storage at the dispatching time point based on the urgency of coordinated dispatching and the operating power of power sources, loads, and energy storage at the dispatching time point. This invention constructs capacity pressure and dispatch urgency based on the operating power of power sources, loads, and energy storage and capacity constraints, thereby generating target instructions for each resource and accurately allocating dispatching quantities.

Description

Technical Field

[0001] This invention relates to the field of power distribution network dispatching technology, specifically to a method and system for coordinated optimization dispatching of power sources, grids, loads, and storage. Background Technology

[0002] With the development of new energy power generation and energy storage technologies, the power distribution system of industrial parks is gradually shifting from the traditional single energy supply mode to a source-grid-load-storage coordinated operation mode. During the source-grid-load-storage coordinated operation, the power output of the new energy side, the power demand of the load side, and the charging and discharging status of the energy storage side will jointly affect the power carrying capacity of the distribution transformer. Therefore, it is necessary to dynamically adjust the operation of the distribution transformer according to the source-load-storage operation status within the power supply range to ensure the safe and stable operation of the power distribution system.

[0003] Existing source-grid-load-storage scheduling methods typically perform power balance control based on the current load demand, renewable energy output, and energy storage status. However, in actual operation, the power pressure on distribution transformers usually gradually increases as the source-load-storage operating status changes over a continuous period of time. This makes it impossible to accurately determine whether scheduling is required and the intensity of scheduling at different time ranges, which can easily lead to delayed or ineffective scheduling responses. Summary of the Invention

[0004] This invention provides a method and system for coordinated optimization scheduling of power generation, grid, load and storage systems to solve the existing problems: existing power generation, grid, load and storage scheduling methods cannot accurately determine whether scheduling needs to be performed and the scheduling intensity in different time ranges, which can easily lead to delayed scheduling response or ineffective adjustment.

[0005] The method and system for coordinated optimization scheduling of source, grid, load, and storage of the present invention adopts the following technical solution: One embodiment of the present invention provides a method for coordinated optimization scheduling of source, grid, load, and storage, the method comprising the following steps: The source-load-storage operating power at each time point is obtained, and the safe capacity of the distribution transformer is obtained. The source-load-storage operating power includes the active power on the source side, the active power on the load side, and the charging and discharging power on the storage side. Based on the source-load-storage operating power at each time, the net load power at each time is obtained; based on the local net load power and the safe capacity of the distribution transformer at each time, the capacity pressure index at each time is obtained, and then the high-voltage time corresponding to each time is selected; based on the source-load-storage operating power at the corresponding high-voltage time at each time, the source-load-storage operating pressure reduction response value at each time is obtained, and then the source-load-storage coordinated pressure reduction coefficient at each time is obtained. Based on the source-load-storage coordinated pressure reduction coefficient at each time point, and combined with the capacity pressure index at each time point, the urgency of coordinated scheduling at each time point is obtained; based on the urgency of coordinated scheduling at each time point, the scheduling time is obtained. The operating power of source, load, and storage is adjusted according to the urgency of coordinated scheduling at the scheduling time and the operating power of source, load, and storage at the scheduling time.

[0006] Preferably, the specific method for obtaining the net load power at each time point based on the source-load-storage operating power at each time point includes: For any given time, the difference between the active power on the load side and the active power on the source side at that time is added to the sum of the charging and discharging power on the storage side at that time, and this sum is taken as the net load power at that time.

[0007] Preferably, the method for obtaining the capacity pressure index at each time point based on the net load power of the local area and the safe capacity of the distribution transformer includes: A local time range is preset. For any given moment, each moment within the local time range preceding that moment is recorded as a local moment. The local moment when the net load power is less than the safe capacity of the distribution transformer is recorded as the previous sampling moment. For any pre-sampling time, the local time that follows the pre-sampling time is recorded as the post-sampling time of the pre-sampling time; For any previous sampling time and any subsequent sampling time, the difference between the net load power of the previous sampling time and the net load power of the subsequent sampling time is used as the load ramp-up amount of the previous sampling time and the subsequent sampling time. If the load ramp-up amount of the previous sampling time and the subsequent sampling time is less than 0, then the load ramp-up amount of the previous sampling time and the subsequent sampling time is set to 0. The difference between the safe capacity of the distribution transformer and the net load power at the previous sampling time is used as the remaining capacity buffer value at the previous sampling time. The ratio of the load ramp-up amount at the previous sampling time to the remaining capacity buffer value at the previous sampling time is used as the capacity pressure factor at the previous sampling time. The largest capacity pressure factor among all the subsequent sampling times of all the previous sampling times is taken as the capacity pressure index of the time; and the subsequent sampling time of the previous sampling time corresponding to the largest capacity pressure factor is taken as the high pressure time corresponding to the time.

[0008] Preferably, the specific method for obtaining the source-load-storage operation pressure reduction response value at each time point based on the source-load-storage operation power at the corresponding high-voltage time point is as follows: A source tracing time range is preset. For any given moment, each moment within the source tracing time range preceding the given moment is recorded as the source tracing moment. For the The first moment of tracing the source will be the first The source-side active power at the first tracing moment, minus the first... The difference between the source-side active power at the first tracing moment is used as the first... Source-side decompression response coefficient at each tracing point; Obtain the source-side decompression response coefficients at all tracing times, and take the maximum value among all the source-side decompression response coefficients at all tracing times as the source-side decompression response value at that time. The first The load-side active power at the first source-tracing moment, minus the first... The product of the difference in active power on the load side at the first source-tracing moment and -1 is used as the product of the first... The load-side decompression response coefficient at each tracing point; Obtain the load-side decompression response coefficients at all tracing times, and take the maximum value among all the load-side decompression response coefficients at all tracing times as the load-side decompression response value at that time. The first The storage-side charging and discharging power at the first traceability moment, minus the first... The product of the difference between the storage-side charging and discharging power at the first traceback moment and -1 is used as the product of the first traceback moment's value. The reservoir-side decompression response coefficient at each traceback point; Obtain the reservoir-side depressurization response coefficients at all traceback times, and take the maximum value among all traceback times as the reservoir-side depressurization response value at that time. The sum of the source-side decompression response value, the load-side decompression response value, and the storage-side decompression response value at the specified time is taken as the source-load-storage operation decompression response value at the specified time.

[0009] Preferably, the specific method for obtaining the source-load-storage coordinated decompression coefficient at each time point is as follows: For any given time, the source-load-storage coordinated decompression coefficient at that time is positively correlated with the source-load-storage operation decompression response value at that time. The source-load-storage coordinated pressure reduction coefficient at that time is negatively correlated with the active power on the load side at that time. The source-load-storage coordinated decompression coefficient at the specified time is negatively correlated with the storage-side charging and discharging power at the specified time.

[0010] Preferably, the specific method for obtaining the urgency of coordinated scheduling at each time point based on the source-load-storage coordinated pressure reduction coefficient and the capacity pressure index at each time point includes: For any given time, the capacity pressure index at that time is normalized, and the result of the normalization is used as the capacity pressure coefficient at that time. The difference between the source-load-storage coordinated pressure reduction coefficient and the capacity pressure coefficient at the specified time is taken as the risk digestion margin at the specified time. Based on the risk digestion margin and capacity pressure coefficient at the specified time, the urgency of coordinated scheduling at the specified time is obtained; The urgency of coordinated scheduling at that moment is positively correlated with the capacity pressure coefficient at that moment; The urgency of coordinated scheduling at a given time is negatively correlated with the risk digestion margin at that time.

[0011] Preferably, the specific method for obtaining the scheduling time based on the collaborative scheduling urgency at each time point includes: If the urgency of coordinated scheduling at any given time is greater than or equal to a preset scheduling threshold, then that time is taken as the scheduling time.

[0012] Preferably, the specific method for adjusting the source-load-storage operating power at the scheduling time based on the urgency of coordinated scheduling and the operating power of source, load, and storage at the scheduling time includes: For any scheduling time, the product of the urgency of coordinated scheduling at that scheduling time and the pressure reduction response value of source-load-storage operation at that scheduling time is used as the overall control quantity at that scheduling time. The minimum value between the overall control amount at the scheduling time and the storage-side pressure reduction response value at the scheduling time shall be taken as the storage-side control amount at the scheduling time. The difference between the overall control amount at the scheduling time and the storage-side control amount at the scheduling time is used as the source-side acceptance margin at the scheduling time. If the source-side acceptance margin at the scheduling time is less than 0, then the source-side acceptance margin at the scheduling time is set to 0. The minimum value between the source-side acceptance margin at the scheduling time and the source-side decompression response value at the scheduling time is used as the source-side control amount at the scheduling time. The difference between the source-side load capacity at the scheduling time and the source-side control amount at the scheduling time is taken as the load-side load capacity at the scheduling time. If the load-side load capacity at the scheduling time is less than 0, the load-side load capacity at the scheduling time is set to 0. The minimum value between the load-side load capacity at the scheduling time and the load-side pressure reduction response value at the scheduling time is taken as the load-side control amount at the scheduling time. Based on the storage-side control amount, source-side control amount, and load-side control amount at the scheduling time, and in conjunction with the source-load-storage operating power at the scheduling time, the source-load-storage operating power at the scheduling time is adjusted.

[0013] Preferably, the specific method for adjusting the source-load-storage operating power at the scheduling time based on the storage-side adjustment amount, source-side adjustment amount, and load-side adjustment amount at the scheduling time, combined with the source-load-storage operating power at the scheduling time, includes: The sum of the source-side active power at the scheduling time and the source-side control amount is used as the source-side target active power at the scheduling time, and the source-side active power at the scheduling time is controlled to the source-side target active power at the scheduling time. The difference between the load-side active power at the scheduling time and the load-side regulation amount is taken as the target active power at the scheduling time, and the load-side active power at the scheduling time is regulated to the target active power at the scheduling time. The difference between the storage-side charging and discharging power at the scheduling time and the storage-side regulation amount is taken as the storage-side target charging and discharging power at the scheduling time, and the storage-side charging and discharging power at the scheduling time is regulated to the storage-side target charging and discharging power at the scheduling time.

[0014] Another embodiment of the present invention provides a system for coordinated optimization scheduling of source, grid, load and storage, including a memory, a processor and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of any one of the above-described methods for coordinated optimization scheduling of source, grid, load and storage.

[0015] The beneficial effects of the technical solution of this invention are as follows: This invention obtains the source-load-storage operating power and the safe capacity of the distribution transformer at each moment, and obtains the net load power at the corresponding moment based on the active power on the source side, the active power on the load side, and the charging and discharging power on the storage side. This allows for a comprehensive consideration of the impact of new energy supply, load consumption, and energy storage regulation behavior on the load-bearing state of the distribution transformer. Furthermore, it obtains the capacity pressure index based on the relationship between the net load power and the safe capacity of the distribution transformer, and filters high-voltage moments with higher capacity pressure, thereby achieving dynamic identification of the capacity pressure change process of the distribution transformer. At the same time, it obtains the source-load-storage operating pressure reduction response value based on the source-load-storage operating status corresponding to the high-voltage moment, and further determines the source-load-storage coordinated pressure reduction coefficient, enabling the quantification of the capacity pressure relief capability of source-load-storage resources within the current time range. Furthermore, it obtains the coordinated scheduling urgency by combining the capacity pressure index and the source-load-storage coordinated pressure reduction coefficient, and determines the scheduling moment and the corresponding source-load-storage adjustment method based on the coordinated scheduling urgency, thereby achieving targeted regulation of the source-load-storage operating power under different time states, and generating target instructions for each resource to accurately allocate scheduling quantities. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 This is a flowchart illustrating the steps of a source-grid-load-storage collaborative optimization scheduling method according to the present invention. Detailed Implementation

[0018] To further illustrate the technical means and effects adopted by the present invention to achieve its intended purpose, the following, in conjunction with the accompanying drawings and preferred embodiments, details the specific implementation, structure, features, and effects of a source-grid-load-storage coordinated optimization scheduling method and system proposed according to the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0019] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0020] The following description, in conjunction with the accompanying drawings, details the specific scheme of the source-grid-load-storage collaborative optimization scheduling method and system provided by the present invention.

[0021] Please see Figure 1 The diagram illustrates a flowchart of a source-grid-load-storage collaborative optimization scheduling method according to an embodiment of the present invention. The method includes the following steps: Step S001: Obtain the source-load-storage operating power at each time point and obtain the safe capacity of the distribution transformer.

[0022] It should be noted that in the power distribution network of high-energy-consuming industrial parks, different production areas are usually powered by different distribution transformers, and the load changes of each power supply area vary greatly. When the load in the power supply area of ​​a certain distribution transformer increases significantly or the output of new energy sources decreases, the power demand in that area will increase rapidly, easily leading to the distribution transformer operating under high load. Existing technologies usually aim at overall power balance in the park for scheduling, which cannot accurately reflect the local capacity risk in the power supply area of ​​a single distribution transformer. Therefore, this embodiment uses the power supply range of a single distribution transformer as the data acquisition unit to acquire the active power on the source side, the active power on the load side, and the charging and discharging power on the energy storage side in real time, and to obtain the safe capacity of the distribution transformer. This provides a data foundation for subsequent dynamic identification of local capacity risk and source-load-energy storage coordinated optimization scheduling for the power supply area, thereby achieving accurate perception of local power supply pressure and avoiding the masking of local capacity over-limit risks due to overall power balance.

[0023] Specifically, obtain the rated capacity of the distribution transformer, and then... The multiple is used as the safe capacity of the distribution transformer. The preset safety capacity factor, The specific value can be set according to the actual situation. This embodiment does not make a hard requirement. In this embodiment, it is used as... Let's take 0.8 as an example.

[0024] Furthermore, the active power on the source side is collected at each moment by smart meters installed at the distributed new energy grid connection points; the active power on the load side is collected at each moment by smart meters installed at the low-voltage side outgoing line of the distribution transformer; and the energy storage side charging and discharging power is collected at each moment by energy storage converters directly connected to the energy storage system (positive energy storage side charging and discharging power indicates that the energy storage system is in a charging state, and negative energy storage side charging and discharging power indicates that the energy storage system is in a discharging state). In this embodiment, 30 seconds are used as a moment. The source-load-storage operating power includes the active power on the source side, the active power on the load side, and the charging and discharging power on the storage side.

[0025] Step S002: Obtain the net load power at each time based on the source-load-storage operating power at each time; obtain the capacity pressure index at each time based on the local net load power and the safe capacity of the distribution transformer at each time, and then select the high-voltage time corresponding to each time; obtain the source-load-storage operating pressure reduction response value at each time based on the source-load-storage operating power at the corresponding high-voltage time, and then obtain the source-load-storage coordinated pressure reduction coefficient at each time.

[0026] It should be noted that when there is a concentrated increase in load, a decrease in source-side output, or capacity occupancy for energy storage charging within the power supply area of ​​the distribution transformer, the net load power of the area will gradually increase, approaching or even exceeding the safe capacity of the distribution transformer. Therefore, this embodiment first calculates the net load power to comprehensively reflect the capacity occupancy level of the power supply area. Then, it analyzes the climbing process of the net load power relative to the safe capacity of the distribution transformer through a local time range analysis to obtain the capacity pressure index. The larger the capacity pressure index, the higher the supply and demand tension, and the high-voltage moment is selected accordingly. Furthermore, based on the source-load-storage operating power at the high-voltage moment, combined with the maximum response amplitude of each resource in the direction of reducing the capacity pressure of the distribution transformer in historical data, the pressure reduction response value of each resource is determined. The larger the source-load-storage operating pressure reduction response value, the stronger the effective pressure reduction capacity formed by the source side, load side, and storage side in the area. Then, the coordinated pressure reduction capacity index is comprehensively evaluated. The larger the coordinated pressure reduction capacity index, the stronger the self-regulation capacity of the area. This quantifies the supply and demand tension and self-regulation capacity of the power supply area, providing a basis for subsequent judgment on whether to trigger coordinated dispatch.

[0027] Specifically, for any given time, the difference between the active power on the load side and the active power on the source side at that time is added to the sum of the charging and discharging power on the storage side at that time, and this sum is taken as the net load power at that time.

[0028] It should be noted that the active power on the load side reflects the actual electricity demand of the production load in the power supply area, while the active power on the source side reflects the local power generation support capacity of distributed new energy sources. When the charging and discharging power on the storage side is positive, it indicates that the energy storage is charging and occupying the capacity of the distribution transformer; when it is negative, it indicates that the energy storage is discharging and releasing capacity. Subtracting the active power on the source side from the active power on the load side and then adding the charging and discharging power on the storage side, the net load power obtained comprehensively reflects the actual net capacity occupancy of the distribution transformer in the area under the combined effect of the source, load, and storage. By unifying the scattered data of the three types of resources into a single capacity occupancy index, a quantitative basis is provided for subsequent analysis of the evolution of capacity pressure.

[0029] Specifically, a local time range is preset. The local time range can be set according to the actual situation. This embodiment does not make a hard requirement. In this embodiment, the local time range is equal to 15 minutes as an example. For any time, each time within the local time range before the time is recorded as a local time (if the time range between the times is less than the local time range, then each time before the time is recorded as a local time); the local time when the net load power is less than the safe capacity of the distribution transformer is recorded as the previous sampling time.

[0030] For any pre-sampling time, the local time following the pre-sampling time is denoted as the post-sampling time of the pre-sampling time.

[0031] For any previous sampling time and any subsequent sampling time, the difference between the net load power of the previous sampling time and the net load power of the subsequent sampling time is used as the load ramp-up amount of the previous sampling time and the subsequent sampling time. If the load ramp-up amount of the previous sampling time and the subsequent sampling time is less than 0, then the load ramp-up amount of the previous sampling time and the subsequent sampling time is set to 0.

[0032] The difference between the safe capacity of the distribution transformer and the net load power at the previous sampling time is used as the remaining capacity buffer value at the previous sampling time.

[0033] The ratio of the load ramp-up amount at the previous sampling time to the remaining capacity buffer value at the previous sampling time is used as the capacity pressure factor at the previous sampling time.

[0034] As an example, the specific formula for calculating the capacity pressure factor at the subsequent sampling time after the previous sampling time is as follows: ; In the formula, The capacity pressure factor represents the capacity pressure factor at the time of the subsequent sampling, which is the time of the preceding sampling. This represents the net load power at the subsequent sampling time following the previous sampling time; This represents the net load power at the previous sampling time; Indicates the safe capacity of the distribution transformer; This represents the function that takes the maximum value.

[0035] The largest capacity pressure factor among all the subsequent sampling times of all the previous sampling times is taken as the capacity pressure index of the time; and the subsequent sampling time of the previous sampling time corresponding to the largest capacity pressure factor is taken as the high pressure time corresponding to the time.

[0036] It should be noted that supply and demand tensions in the power supply area of ​​a distribution transformer are usually not sudden at a single moment, but rather evolve gradually over a continuous period. For example, when high-power production equipment starts up one after another, the output of distributed photovoltaic power continues to decline, or energy storage devices are charging, the net load power will gradually increase, gradually consuming the original safety capacity margin of the distribution transformer. Therefore, this step, by pre-setting a local time range, selects time pairs that meet the criteria of "the starting time being in a safe state" and "the ending time having a net load power higher than the starting time." The pre-sampling time is the moment when the net load power has not yet exceeded the safety capacity of the distribution transformer, representing that there is still remaining capacity buffer at that moment; the post-sampling time is the moment after the pre-sampling time; the load ramp-up represents the increase in net load power from a certain pre-sampling time to its post-sampling time, reflecting the increased capacity occupancy pressure during that period.

[0037] It should be further explained that the remaining capacity buffer value represents the portion of the distribution transformer's safe capacity that has not yet been utilized at the previous sampling time, i.e., the capacity increase space that can still be tolerated at that time; the capacity pressure factor represents the proportion of the remaining capacity buffer consumed by a single ramp-up process. The larger the value, the more thoroughly the safety margin is consumed by the ramp-up; taking the maximum value of the capacity pressure factor at all times as the capacity pressure index at that time is to capture the most risky and representative capacity evolution process within the window; the larger the capacity pressure index, the higher the supply and demand tension within the window; taking the sampling time corresponding to the maximum capacity pressure factor as the high-voltage time is because this time represents the time when the capacity pressure within the window reaches its peak, and subsequent pressure reduction analysis needs to be carried out around the source-load-storage operation status at this time.

[0038] Furthermore, a source tracing time range is preset. The source tracing time range can be set according to the actual situation. This embodiment does not make a hard requirement. In this embodiment, the source tracing time range is equal to 150 minutes as an example. For any time, each time in the source tracing time range before the time is recorded as the source tracing time.

[0039] For the The first moment of tracing the source will be the first The source-side active power at the first tracing moment, minus the first... The difference between the source-side active power at the first tracing moment is used as the first... The source-side decompression response coefficient at each tracing point.

[0040] Obtain the source-side decompression response coefficients at all tracing times, and take the maximum value among all the source-side decompression response coefficients at the given time as the source-side decompression response value at that time.

[0041] The first The load-side active power at the first source-tracing moment, minus the first... The product of the difference in active power on the load side at the first source-tracing moment and -1 is used as the product of the first... The load-side decompression response coefficient at each traceback moment.

[0042] Obtain the load-side decompression response coefficients at all tracing times, and take the maximum value among all the load-side decompression response coefficients at all tracing times as the load-side decompression response value at that time.

[0043] The first The storage-side charging and discharging power at the first traceability moment, minus the first... The product of the difference between the storage-side charging and discharging power at the first traceback moment and -1 is used as the product of the first traceback moment's value. The reservoir-side decompression response coefficient at each traceback moment.

[0044] Obtain the reservoir-side decompression response coefficients at all traceback times, and take the maximum value among all traceback times as the reservoir-side decompression response value at that time.

[0045] The sum of the source-side decompression response value, the load-side decompression response value, and the storage-side decompression response value at the specified time is taken as the source-load-storage operation decompression response value at the specified time.

[0046] It should be noted that the pressure reduction capacity is not determined by a single state at the current moment, but is affected by its recent operating characteristics. Therefore, this embodiment extracts the maximum response magnitude in the direction of reducing the capacity pressure of the distribution transformer by reviewing the actual power changes of each resource in the period before the high-voltage moment. For the source side, an increase in active power on the source side can enhance local power supply support and reduce the power demand on the distribution transformer in the area. Therefore, the increase in active power on the source side at adjacent moments is directly taken as the source side pressure reduction response coefficient, and the maximum value among all coefficients is taken as the source side pressure reduction response value. The larger the value, the greater the increase in power generation on the source side recently. For the load side, a decrease in active power on the load side can directly reduce the capacity occupancy of the distribution transformer. Therefore, the difference in active power on the load side at adjacent moments is multiplied by -1 to convert the power decrease into a positive value as the load side pressure reduction response value. The load-side pressure reduction response coefficient is calculated, and the maximum value is taken as the load-side pressure reduction response value. The larger the value, the greater the load reduction amplitude that has been achieved on the load side recently. For the energy storage side, a decrease in energy storage charging power or an increase in energy storage discharging power can reduce the capacity pressure on the distribution transformer. Therefore, the difference in charging and discharging power on the energy storage side at adjacent times is multiplied by -1 to convert the change in the pressure reduction direction into a positive value as the energy storage side pressure reduction response coefficient, and the maximum value is taken as the energy storage side pressure reduction response value. The larger the value, the greater the pressure reduction adjustment amplitude that has been achieved on the energy storage side recently. Furthermore, the sum of the source-side pressure reduction response value, the load-side pressure reduction response value, and the energy storage side pressure reduction response value is taken as the source-load-energy storage operation pressure reduction response value, which comprehensively reflects the maximum effective pressure reduction that the source, load, and energy storage can jointly form in the recent operation of the region, providing a basis for subsequent calculation of the coordinated pressure reduction capacity index and allocation of various resource scheduling quantities.

[0047] Specifically, for any given time, the source-load-storage coordinated decompression coefficient at that time is positively correlated with the source-load-storage operation decompression response value at that time.

[0048] The source-load-storage coordinated pressure reduction coefficient at the specified time is negatively correlated with the active power on the load side at the specified time.

[0049] The source-load-storage coordinated decompression coefficient at the specified time is negatively correlated with the storage-side charging and discharging power at the specified time.

[0050] As an example, the specific formula for calculating the source-load-storage coordinated decompression coefficient at the stated time is as follows: ; In the formula, This represents the source-load-storage coordinated pressure reduction coefficient at the stated time. This represents the decompression response value of the source-load-storage operation at the stated moment; This represents the load-side active power at the stated moment; This indicates the storage-side charging and discharging power at the stated moment; This represents the function that takes the maximum value. This represents an exponential function with the natural constant as the base; this embodiment uses... The model is used to represent the inverse proportional relationship and for normalization processing. As input to the model, implementers can set inverse proportional functions and normalization functions according to the actual situation.

[0051] It should be noted that the source-load-storage operation pressure reduction response value reflects the total effective pressure reduction that the source, load, and storage can jointly form in the region. However, this total value alone cannot determine the strength of this pressure reduction capacity relative to the current electricity demand. Therefore, this embodiment calculates the source-load-storage coordinated pressure reduction coefficient to measure the relative strength of the total effective pressure reduction relative to the electricity demand. Among them, the active power on the load side represents the load electricity demand level of the region, and the charging and discharging power on the storage side, when positive, represents the energy storage charging power, which also constitutes the occupation of the distribution transformer capacity. The two together form the local electricity demand. The source-load-storage coordinated pressure reduction coefficient is positively correlated with the source-load-storage operation pressure reduction response value. When the total effective pressure reduction is larger, the coefficient is larger. It is negatively correlated with the active power on the load side and the charging power on the storage side. When the local electricity demand is larger, the coefficient is smaller. By using the source-load-storage coordinated pressure reduction coefficient, the pressure reduction capacity under different electricity demand levels is unified into a comparable dimensionless index, providing a basis for subsequent judgment on whether to trigger dispatch in combination with the capacity pressure index.

[0052] Step S003: Based on the source-load-storage coordinated pressure reduction coefficient at each time point and the capacity pressure index at each time point, obtain the urgency of coordinated scheduling at each time point; based on the urgency of coordinated scheduling at each time point, obtain the scheduling time.

[0053] It should be noted that a higher capacity pressure index indicates a higher degree of supply and demand tension; a higher coordinated pressure reduction capability index indicates a stronger self-regulation capability; and when the capacity pressure index is high and the coordinated pressure reduction capability index is low, it indicates that the supply and demand tension exceeds the range that the self-regulation capability can absorb, and coordinated scheduling needs to be triggered as soon as possible. Therefore, this embodiment normalizes the capacity pressure index to obtain the capacity pressure coefficient, and calculates the urgency of coordinated scheduling by combining it with the coordinated pressure reduction capability index. When the urgency of coordinated scheduling is higher, it indicates that the current supply and demand tension is more intense than the self-regulation capability, and scheduling needs to be triggered more. When the urgency of coordinated scheduling reaches the preset scheduling threshold, it is necessary to adjust the operating power of the source, load, and storage systems to ensure the safe and stable operation of the power distribution system.

[0054] Specifically, for any given time, the capacity pressure index at that time is normalized (using...). Normalization is performed, the The capacity-pressure coefficient at the stated time; The capacity pressure index represents the value at that moment. (representing an exponential function with the natural constant as the base), the normalized result is used as the capacity pressure coefficient at the stated time.

[0055] The difference between the source-load-storage coordinated pressure reduction coefficient and the capacity pressure coefficient at the specified time is taken as the risk digestion margin at the specified time.

[0056] Based on the risk digestion margin and capacity pressure coefficient at the specified time, the urgency of coordinated scheduling at the specified time is obtained.

[0057] The urgency of coordinated scheduling at a given time is positively correlated with the capacity pressure coefficient at that time.

[0058] The urgency of coordinated scheduling at a given time is negatively correlated with the risk digestion margin at that time.

[0059] As an example, the specific formula for calculating the urgency of coordinated scheduling at the given time is as follows: ; In the formula, This indicates the urgency of coordinated scheduling at the given moment; This indicates the capacity-pressure coefficient at the stated moment; This represents the source-load-storage coordinated pressure reduction coefficient at the stated time. This represents an exponential function with the natural constant as its base.

[0060] It should be noted that, firstly, the capacity pressure index is normalized to obtain the capacity pressure coefficient, which is then mapped to a unified dimensionless interval to make it comparable to the coordinated pressure reduction capacity index. The difference between the coordinated pressure reduction capacity index and the capacity pressure coefficient is used as the risk digestion margin. When the coordinated pressure reduction capacity index is larger and the capacity pressure coefficient is smaller, the risk digestion margin is larger, indicating that the self-regulation capacity is more sufficient relative to the supply and demand tension, and there is no need to trigger scheduling. When the capacity pressure coefficient is larger and the coordinated pressure reduction capacity index is smaller, the risk digestion margin is smaller, indicating that the supply and demand tension has exceeded the range that the self-regulation capacity can digest. The urgency of coordinated scheduling is positively correlated with the capacity pressure coefficient and negatively correlated with the risk digestion margin. When the capacity pressure coefficient is larger and the risk digestion margin is smaller, the urgency of coordinated scheduling is greater, and the more necessary it is to trigger coordinated scheduling, providing a quantitative basis for subsequent judgment on whether to trigger scheduling.

[0061] Furthermore, for any given time, if the urgency of coordinated scheduling at that time is greater than or equal to a preset scheduling threshold, then that time is taken as the scheduling time.

[0062] Step S004: Adjust the operating power of source, load and storage at the scheduling time according to the urgency of coordinated scheduling and the operating power of source, load and storage at the scheduling time.

[0063] It should be noted that after obtaining the scheduling time through step S003, the specific scheduling amount of the source-load-storage operating power needs to be obtained based on the urgency of coordinated scheduling. The overall control amount is obtained by multiplying the urgency of coordinated scheduling with the source-load-storage operation pressure reduction response value. When the urgency of coordinated scheduling is greater, the overall control amount is greater and the scheduling intensity is stronger. When allocating the overall control quantity, energy storage has a fast response speed and adjusting the charging and discharging power of energy storage usually does not affect production. Therefore, the energy storage side is prioritized, and the smaller value between the overall control quantity and the energy storage side pressure reduction response value is used as the energy storage side control quantity. The source side can enhance local power supply support and has little impact on production. Therefore, when the energy storage side cannot meet the requirements, the smaller value between the remaining control quantity and the source side pressure reduction response value is used as the source side control quantity. Load-side regulation involves reducing or transferring production load, which may affect production continuity. Therefore, only when neither the energy storage side nor the source side can meet the requirements is the smaller value between the final remaining control quantity and the load-side pressure reduction response value used as the load-side control quantity. Based on the order of "energy storage side priority, source side acceptance, and load side fallback", the target instructions for each resource are generated and the scheduling quantity is accurately allocated under the premise of minimizing the impact on production.

[0064] Specifically, for any scheduling time, the product of the urgency of coordinated scheduling at that time and the pressure reduction response value of source-load-storage operation at that time is used as the overall control quantity at that scheduling time.

[0065] The minimum value between the overall control amount at the scheduling time and the storage-side decompression response value at the scheduling time is taken as the storage-side control amount at the scheduling time.

[0066] The difference between the overall control amount at the scheduling time and the storage-side control amount at the scheduling time is used as the source-side acceptance margin at the scheduling time. If the source-side acceptance margin at the scheduling time is less than 0, then the source-side acceptance margin at the scheduling time is set to 0. The minimum value between the source-side acceptance margin at the scheduling time and the source-side decompression response value at the scheduling time is used as the source-side control amount at the scheduling time.

[0067] The difference between the source-side load capacity at the scheduling time and the source-side control amount at the scheduling time is taken as the load-side load capacity at the scheduling time. If the load-side load capacity at the scheduling time is less than 0, the load-side load capacity at the scheduling time is set to 0. The minimum value between the load-side load capacity at the scheduling time and the load-side pressure reduction response value at the scheduling time is taken as the load-side control amount at the scheduling time.

[0068] Furthermore, the source-side active power at the scheduling time is added to the source-side control amount to obtain the sum value, which is taken as the source-side target active power at the scheduling time, and the source-side active power at the scheduling time is controlled to the source-side target active power at the scheduling time.

[0069] The difference between the load-side active power at the scheduling time and the load-side regulation amount is taken as the target active power at the scheduling time, and the load-side active power at the scheduling time is regulated to the target active power at the scheduling time.

[0070] The difference between the storage-side charging and discharging power at the scheduling time and the storage-side regulation amount is taken as the storage-side target charging and discharging power at the scheduling time, and the storage-side charging and discharging power at the scheduling time is regulated to the storage-side target charging and discharging power at the scheduling time.

[0071] It should be noted that the greater the urgency of coordinated scheduling, the more the supply and demand tension exceeds its own adjustment capacity, and the larger the total pressure reduction needs to be called upon. The larger the pressure reduction response value of source-load-storage operation, the more abundant the available pressure reduction resources in the region. The multiplication of the two allows the overall control amount to simultaneously reflect the urgency of scheduling and the available pressure reduction capacity. Since energy storage has a fast response speed and adjusting the charging and discharging power of energy storage usually does not affect the continuity of production load, storage-side resources are called upon first, and the smaller value between the overall control amount and the storage-side pressure reduction response value is used as the storage-side control amount. If the storage side cannot fully meet the overall control amount, the remaining part is used as the source-side capacity. The increased generation on the source side can enhance local power supply support and has less impact on production, so it is used as the second priority, and the smaller value between the source-side capacity and the source-side pressure reduction response value is used as the source-side control amount. If the source side still cannot fully meet the demand, the final remaining part is used as the load-side capacity. Load-side adjustment involves reducing or transferring production load, which may affect production continuity, so it is used as a backup resource. The cutoff operation, which sets each available capacity to 0 when it is less than 0, ensures that subsequent resources will not be subject to ineffective adjustments once the current primary resource has met the overall control requirements. Finally, target power commands are generated based on the pressure reduction direction of each resource. On the source side, the output is increased to reduce the capacity pressure of the distribution transformer, so the source side active power plus the source side control is used as the source side target active power. On the load side, the power consumption is reduced to decrease capacity occupancy, so the load side active power minus the load side control is used as the load side target active power. On the storage side, the charging and discharging power is reduced or the discharging power is increased to release capacity, so the storage side charging and discharging power minus the storage side control is used as the storage side target charging and discharging power. In this way, the target commands for each resource are generated and the scheduling quantities are accurately allocated while minimizing the impact on production.

[0072] It should be further explained that, in order to avoid the situation where the denominator is zero and causes a division error during the fraction operation in this embodiment, the denominator is set to 0.1 when the denominator is zero during the fraction operation in this embodiment.

[0073] Another embodiment of the present invention provides a system for coordinated optimization scheduling of source, grid, load and storage, including a memory, a processor and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements a method for coordinated optimization scheduling of source, grid, load and storage in steps S001 to S004.

[0074] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for coordinated optimization scheduling of source, grid, load, and storage, characterized in that, The method includes the following steps: The source-load-storage operating power at each time point is obtained, and the safe capacity of the distribution transformer is obtained. The source-load-storage operating power includes the active power on the source side, the active power on the load side, and the charging and discharging power on the storage side. Based on the source-load-storage operating power at each time, the net load power at each time is obtained; based on the local net load power and the safe capacity of the distribution transformer at each time, the capacity pressure index at each time is obtained, and then the high-voltage time corresponding to each time is selected; based on the source-load-storage operating power at the corresponding high-voltage time at each time, the source-load-storage operating pressure reduction response value at each time is obtained, and then the source-load-storage coordinated pressure reduction coefficient at each time is obtained. Based on the source-load-storage coordinated pressure reduction coefficient at each time point, and combined with the capacity pressure index at each time point, the urgency of coordinated scheduling at each time point is obtained; based on the urgency of coordinated scheduling at each time point, the scheduling time is obtained. The operating power of source, load, and storage is adjusted according to the urgency of coordinated scheduling at the scheduling time and the operating power of source, load, and storage at the scheduling time.

2. The method for coordinated optimization scheduling of source, grid, load, and storage according to claim 1, characterized in that, The specific method for obtaining the net load power at each time point based on the source-load-storage operating power at each time point includes: For any given time, the difference between the active power on the load side and the active power on the source side at that time is added to the sum of the charging and discharging power on the storage side at that time, and this sum is taken as the net load power at that time.

3. The method for coordinated optimization scheduling of source, grid, load, and storage according to claim 1, characterized in that, The method for obtaining the capacity pressure index at each moment based on the local net load power and the safe capacity of the distribution transformer includes the following specific methods: A local time range is preset. For any given moment, each moment within the local time range preceding that moment is recorded as a local moment. The local moment when the net load power is less than the safe capacity of the distribution transformer is recorded as the previous sampling moment. For any pre-sampling time, the local time that follows the pre-sampling time is recorded as the post-sampling time of the pre-sampling time; For any previous sampling time and any subsequent sampling time, the difference between the net load power of the previous sampling time and the net load power of the subsequent sampling time is used as the load ramp-up amount of the previous sampling time and the subsequent sampling time. If the load ramp-up amount of the previous sampling time and the subsequent sampling time is less than 0, then the load ramp-up amount of the previous sampling time and the subsequent sampling time is set to 0. The difference between the safe capacity of the distribution transformer and the net load power at the previous sampling time is used as the remaining capacity buffer value at the previous sampling time. The ratio of the load ramp-up amount at the previous sampling time to the remaining capacity buffer value at the previous sampling time is used as the capacity pressure factor at the previous sampling time. The largest capacity pressure factor among all the subsequent sampling times of all the previous sampling times is taken as the capacity pressure index of the time; and the subsequent sampling time of the previous sampling time corresponding to the largest capacity pressure factor is taken as the high pressure time corresponding to the time.

4. The method for coordinated optimization scheduling of source, grid, load, and storage according to claim 1, characterized in that, The specific method for obtaining the source-load-storage operation pressure reduction response value at each time based on the source-load-storage operation power at each high-voltage time is as follows: A source tracing time range is preset. For any given moment, each moment within the source tracing time range preceding the given moment is recorded as the source tracing moment. For the The first moment of tracing the source will be the first The source-side active power at the first tracing moment, minus the first... The difference between the source-side active power at the first tracing moment is used as the first... Source-side decompression response coefficient at each tracing point; Obtain the source-side decompression response coefficients at all tracing times, and take the maximum value among all the source-side decompression response coefficients at all tracing times as the source-side decompression response value at that time. The first The load-side active power at the first source-tracing moment, minus the first... The product of the difference in active power on the load side at the nth source-tracing moment and -1 is used as the nth... The load-side decompression response coefficient at each tracing point; Obtain the load-side decompression response coefficients at all tracing times, and take the maximum value among all the load-side decompression response coefficients at all tracing times as the load-side decompression response value at that time. The first The storage-side charging and discharging power at the first traceability moment, minus the first... The product of the difference between the storage-side charging and discharging power at the first traceback moment and -1 is used as the product of the first traceback moment's value. The reservoir-side decompression response coefficient at each traceback point; Obtain the reservoir-side depressurization response coefficients at all traceback times, and take the maximum value among all traceback times as the reservoir-side depressurization response value at that time. The sum of the source-side decompression response value, the load-side decompression response value, and the storage-side decompression response value at the specified time is taken as the source-load-storage operation decompression response value at the specified time.

5. The method for coordinated optimization scheduling of source, grid, load, and storage according to claim 1, characterized in that, The specific method for obtaining the source-load-storage coordinated decompression coefficient at each time point is as follows: For any given time, the source-load-storage coordinated decompression coefficient at that time is positively correlated with the source-load-storage operation decompression response value at that time. The source-load-storage coordinated pressure reduction coefficient at that time is negatively correlated with the active power on the load side at that time. The source-load-storage coordinated decompression coefficient at the specified time is negatively correlated with the storage-side charging and discharging power at the specified time.

6. The method for coordinated optimization scheduling of source, grid, load, and storage according to claim 1, characterized in that, The method for obtaining the urgency of coordinated scheduling at each time point based on the source-load-storage coordinated pressure reduction coefficient and the capacity pressure index at each time point includes the following specific methods: For any given time, the capacity pressure index at that time is normalized, and the result of the normalization is used as the capacity pressure coefficient at that time. The difference between the source-load-storage coordinated pressure reduction coefficient and the capacity pressure coefficient at the specified time is taken as the risk digestion margin at the specified time. Based on the risk digestion margin and capacity pressure coefficient at the specified time, the urgency of coordinated scheduling at the specified time is obtained; The urgency of coordinated scheduling at that moment is positively correlated with the capacity pressure coefficient at that moment; The urgency of coordinated scheduling at a given time is negatively correlated with the risk digestion margin at that time.

7. The method for coordinated optimization scheduling of source, grid, load, and storage according to claim 1, characterized in that, The specific method for obtaining the scheduling time based on the collaborative scheduling urgency at each time point includes: If the urgency of coordinated scheduling at any given time is greater than or equal to a preset scheduling threshold, then that time is taken as the scheduling time.

8. The method for coordinated optimization scheduling of source, grid, load, and storage according to claim 4, characterized in that, The specific method for adjusting the source-load-storage operating power at the scheduling time based on the urgency of coordinated scheduling and the operating power of source, load, and storage at the scheduling time is as follows: For any scheduling time, the product of the urgency of coordinated scheduling at that scheduling time and the pressure reduction response value of source-load-storage operation at that scheduling time is used as the overall control quantity at that scheduling time. The minimum value between the overall control amount at the scheduling time and the storage-side pressure reduction response value at the scheduling time shall be taken as the storage-side control amount at the scheduling time. The difference between the overall control amount at the scheduling time and the storage-side control amount at the scheduling time is used as the source-side acceptance margin at the scheduling time. If the source-side acceptance margin at the scheduling time is less than 0, then the source-side acceptance margin at the scheduling time is set to 0. The minimum value between the source-side acceptance margin at the scheduling time and the source-side decompression response value at the scheduling time is used as the source-side control amount at the scheduling time. The difference between the source-side load capacity at the scheduling time and the source-side control amount at the scheduling time is taken as the load-side load capacity at the scheduling time. If the load-side load capacity at the scheduling time is less than 0, the load-side load capacity at the scheduling time is set to 0. The minimum value between the load-side load capacity at the scheduling time and the load-side pressure reduction response value at the scheduling time is taken as the load-side control amount at the scheduling time. Based on the storage-side control amount, source-side control amount, and load-side control amount at the scheduling time, and in conjunction with the source-load-storage operating power at the scheduling time, the source-load-storage operating power at the scheduling time is adjusted.

9. The method for coordinated optimization scheduling of source, grid, load, and storage according to claim 8, characterized in that, The specific method for adjusting the source-load-storage operating power at the scheduling time based on the storage-side adjustment amount, source-side adjustment amount, and load-side adjustment amount at the scheduling time, combined with the source-load-storage operating power at the scheduling time, includes the following: The sum of the source-side active power at the scheduling time and the source-side control amount is used as the source-side target active power at the scheduling time, and the source-side active power at the scheduling time is controlled to the source-side target active power at the scheduling time. The difference between the load-side active power at the scheduling time and the load-side regulation amount is taken as the target active power at the scheduling time, and the load-side active power at the scheduling time is regulated to the target active power at the scheduling time. The difference between the storage-side charging and discharging power at the scheduling time and the storage-side regulation amount is taken as the storage-side target charging and discharging power at the scheduling time, and the storage-side charging and discharging power at the scheduling time is regulated to the storage-side target charging and discharging power at the scheduling time.

10. A system for coordinated optimization scheduling of source, grid, load, and storage, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the computer program is executed by the processor, it implements the steps of the source-grid-load-storage collaborative optimization scheduling method as described in any one of claims 1-9.

Images