An emergency scenario-based mobile energy storage device dynamic power distribution method

Abstract

The application discloses a kind of mobile energy storage equipment dynamic power distribution methods based on emergency scene, it is related to mobile energy storage equipment power distribution field, comprising: obtaining the state of city power under emergency power supply scene, load information, mobile energy storage state and peak-valley electricity price information;Based on road attribute, power supply area is divided into multiple power supply subareas, and the power level of each subarea key load is determined;At least one group of dynamic power distribution scheme is generated;The power supply balance index and economic operation index under each group of dynamic power distribution scheme are calculated respectively;Determine the optimal dynamic power distribution scheme;Real-time distribution city power output power and mobile energy storage output power;When detecting city power anomaly, lock economic distribution strategy, complete full-power dynamic distribution by mobile energy storage.Through subarea fine allocation, double-index optimization, smooth power regulation and city power abnormality automatic lock economic strategy, realize the safe, stable, efficient dynamic power distribution of mobile energy storage equipment.

Description

Technical Field

[0001] This invention relates to the field of power allocation for mobile energy storage devices, specifically to a dynamic power allocation method for mobile energy storage devices based on emergency scenarios. Background Technology

[0002] Emergency power supply is a core component for disaster relief, temporary power backup, medical emergencies, transportation hubs, and critical public scenarios. Mobile energy storage devices, with their advantages of flexible deployment, rapid response, and independent power supply, have become essential equipment for ensuring uninterrupted power supply to critical loads in emergency scenarios. When the mains power is normal, mobile energy storage can cooperate with the mains to achieve peak-valley arbitrage, peak shaving, and economical operation. In the event of mains power outages, undervoltage, or abnormal waveforms, mobile energy storage must immediately assume full load power supply, prioritizing the continuous operation of critical loads such as rescue, lighting, communications, and medical services. Currently, mobile energy storage power supply systems in emergency scenarios generally adopt fixed power distribution or manual switching modes, simply switching between mains power and energy storage, which makes it difficult to balance power supply reliability, distribution stability, and operational economy, and is no longer suitable for the complex and ever-changing emergency power supply needs.

[0003] Existing mobile energy storage power allocation methods often adopt a globally unified mode without considering the power supply path, cable load, and load location for refined zoning management. This can easily lead to local line overload, voltage drop, or power waste. Secondly, the lack of a quantitative power supply balance and economic operation evaluation mechanism makes it prone to sudden shocks during power switching and adjustment, causing problems such as load interruption and voltage fluctuation, which seriously affect the stability of emergency power supply. Summary of the Invention

[0004] To address the aforementioned technical issues, this paper provides a dynamic power allocation method for mobile energy storage devices based on emergency scenarios. This technical solution solves the problems mentioned in the background technology, which often adopts a globally unified mode for power allocation, without combining power supply path, cable bearing, and load location for refined zone management, and lacks a quantitative power supply balance and economic operation evaluation mechanism. During power switching and adjustment, sudden shocks are prone to occur, causing problems such as load interruption and voltage fluctuation, which seriously affect the stability of emergency power supply.

[0005] To achieve the above objectives, the technical solution adopted by the present invention is as follows:

[0006] A dynamic power allocation method for mobile energy storage devices based on emergency scenarios includes:

[0007] Acquire the status of mains power, load information, status of mobile energy storage, and peak-valley electricity price information in emergency power supply scenarios;

[0008] The power supply area is divided into multiple power supply zones based on road attributes, and the critical load power level of each zone is determined.

[0009] Based on the grid power status, peak-valley electricity price forecast results, and remaining energy storage capacity, generate at least one set of dynamic power allocation schemes;

[0010] Calculate the power supply balance index and economic operation index for each dynamic power allocation scheme;

[0011] Based on power supply balance index and economic operation index, determine the optimal dynamic power allocation scheme;

[0012] According to the optimal dynamic power allocation scheme, the mains power output power and the mobile energy storage output power are allocated in real time.

[0013] When an abnormality in the mains power is detected, the economic distribution strategy is locked and switched to emergency power supply mode, where mobile energy storage completes the dynamic distribution of full power.

[0014] Preferably, the acquisition of mains power status, load information, mobile energy storage status, and peak-valley electricity price information in emergency power supply scenarios specifically includes:

[0015] Real-time acquisition of mains power operation status, including: mains power normal, mains power undervoltage, mains power interruption, and mains voltage waveform distortion;

[0016] Obtain the total power requirement of emergency loads, the power of critical loads, the power of non-critical loads, and the real-time load fluctuation value;

[0017] Obtain the remaining SOC, rated discharge power, rated charging power, minimum protection capacity, and maximum full charge capacity of the mobile energy storage device;

[0018] Obtain the three-stage electricity price and time period division rules for valley, flat and peak periods published by the power grid, and determine the corresponding electricity price value and start and end time for each time period;

[0019] For statutory holidays and special dispatch days announced by the power grid, the temporary electricity price adjustment notice issued by the power grid shall be used as a supplementary basis.

[0020] Preferably, the step of dividing the power supply area into multiple power supply zones based on road attributes and determining the critical load power level of each zone specifically includes:

[0021] In emergency scenarios, continuous areas with the same power supply path, load distribution location, and cable load-bearing capacity are divided into the same power supply zone.

[0022] Each power supply zone is assigned a unique identifier, and the maximum allowable power capacity of each zone is recorded.

[0023] Based on the purpose of the load, it is divided into critical loads and non-critical loads, and the priority power supply level of critical loads is determined.

[0024] Record and statistically analyze the load power, line impedance, and allowable voltage drop of each zone to construct a zone power allocation database.

[0025] Preferably, generating at least one dynamic power allocation scheme based on the grid power status, peak-valley electricity price prediction results, and remaining energy storage capacity specifically includes:

[0026] Determine the upper limit of available mains power based on the mains power status;

[0027] Based on the electricity price period, determine the priority power supply intervals for municipal power and energy storage power supply intervals;

[0028] Based on the energy storage SOC, determine the energy storage's discharge power, rechargeable power, and allowable charge / discharge state;

[0029] Generate mains power allocation values ​​and energy storage power allocation values ​​for each power supply zone;

[0030] Based on the constrained pruning enumeration strategy, several sets of dynamic power allocation schemes are generated, and each set of schemes contains a power allocation sequence for the entire time period.

[0031] Preferably, the calculation of the power supply balance index and economic operation index under each dynamic power allocation scheme specifically includes:

[0032] Based on the mains power and energy storage output power and the load power of each zone at each moment in each scheme, calculate the power deviation value at each moment.

[0033] Based on power deviation, voltage fluctuation and power response speed, the power supply balance index is calculated using the power supply balance formula.

[0034] Based on the three-stage electricity price (valley, peak, and off-peak), grid electricity consumption, and energy storage discharge, economic operation indicators are calculated using an economic operation formula.

[0035] The arithmetic mean of the index values ​​of all control cycles within the analysis period is used as the comprehensive power supply balance index and economic operation index of the dynamic power allocation scheme.

[0036] Preferably, determining the optimal dynamic power allocation scheme based on power supply balance index and economic operation index specifically includes:

[0037] Weighting coefficients are assigned to power supply balance and economic operation indicators, with the power supply balance weight being higher than the economic weight in emergency scenarios.

[0038] By weighting and integrating the power supply balance index with the economic operation index, a comprehensive evaluation value of the scheme is obtained;

[0039] Based on the dynamic power allocation scheme, the dynamic power allocation scheme with the smallest comprehensive evaluation value is selected as the optimal scheme;

[0040] If there is a sudden change in the grid power status or electricity price period, the scheme generation and selection process will be re-executed.

[0041] Preferably, the real-time allocation of mains power output and mobile energy storage output according to the optimal dynamic power allocation scheme specifically includes:

[0042] Based on the optimal dynamic power allocation scheme, the mains output power and energy storage output power of each control cycle are extracted, and the mains output power coefficient in that cycle is calculated.

[0043] Collect the current actual total load power and allocate the output power of the mains power and energy storage in real time according to the output coefficient;

[0044] Maintain total output power equal to total load power to achieve dynamic power balance;

[0045] The distribution process adopts a smooth and gradual approach, with each adjustment not exceeding a% of the rated power.

[0046] At the start of each control cycle, the output coefficient is recalculated based on the current plan to adapt to changes in grid power status and electricity price periods.

[0047] Preferably, the step of locking the economic power distribution strategy and switching to emergency power supply mode when a mains power anomaly is detected, with the mobile energy storage completing the full power dynamic distribution, specifically includes:

[0048] When a mains power interruption, undervoltage, or distortion exceeds a preset threshold, it is immediately determined to be a mains power malfunction.

[0049] Forcefully lock out all economic allocation logic based on electricity prices and stop energy storage charging;

[0050] Allocate energy storage output power to prioritize supplying critical loads;

[0051] Non-critical loads are classified and handled according to their importance level: priority is given to ensuring the protection of non-critical loads with higher importance level, and the power allocation of non-critical loads with lower importance level is reduced or they are disconnected in sequence.

[0052] Real-time monitoring of energy storage SOC; when energy storage SOC falls below the preset emergency alarm threshold, an early warning is issued, and non-critical loads are switched off sequentially from low to high load level until energy storage SOC stabilizes above the minimum protection capacity.

[0053] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0054] This invention provides a dynamic power allocation scheme for mobile energy storage devices based on emergency scenarios. The scheme proposes a dynamic power allocation strategy combining refined zoning and constraint pruning enumeration. By dividing power supply zones based on road attributes, it achieves hierarchical and refined allocation of critical and non-critical loads, avoiding local line overload and voltage drop at the end. Through the constraint pruning enumeration strategy, it rapidly generates a limited number of feasible allocation schemes while satisfying multiple constraints such as power balance, zone capacity, voltage quality, and energy storage capacity, solving the problem of traditional methods generating only single schemes and being unable to adapt to dynamic constraints. By constructing a quantitative evaluation system of power supply balance indicators and economic operation indicators, it incorporates power fluctuations, voltage stability, supply and demand matching, peak and valley electricity prices, and energy storage lifespan loss into the scheme evaluation, achieving synergistic optimization of power supply reliability and electricity economy. When the mains power is abnormal, it automatically switches to emergency power supply mode, dynamically adjusting the power supply strategy according to the load level, prioritizing critical loads and gradually cutting off non-critical loads to ensure high-reliability power supply in emergency scenarios. Simultaneously, it identifies the load type in real time through the inrush current characteristics when the load is connected, solving the problem of missing load information in unknown areas and realizing the dynamic construction and updating of the power allocation database. This solution effectively overcomes the shortcomings of existing emergency power supply solutions, such as insufficient refinement, poor adaptability, single evaluation, and weak emergency support capabilities. It achieves the goal of ensuring continuous and stable power supply to critical loads while taking into account both power consumption economy and energy storage life optimization, significantly improving the system reliability, economy, and intelligence level in emergency power supply scenarios. Attached Figure Description

[0055] Figure 1 This is a flowchart of a dynamic power allocation method for mobile energy storage devices based on emergency scenarios according to the present invention.

[0056] Figure 2 The present invention generates at least one set of dynamic power allocation scheme flowcharts based on the mains power status, peak-valley electricity price prediction results, and remaining energy storage capacity.

[0057] Figure 3 The flowchart for calculating the power supply balance index and economic operation index of each dynamic power allocation scheme of the present invention is shown below.

[0058] Figure 4 This is a flowchart illustrating the real-time allocation of mains power output and mobile energy storage output according to the optimal dynamic power allocation scheme of the present invention.

[0059] Figure 5 This is a structural diagram of the electronic device proposed in this invention;

[0060] Figure 6 This is a schematic diagram of the structure of the computer-readable storage medium proposed in this invention. Detailed Implementation

[0061] The following description is intended to disclose the invention and enable those skilled in the art to implement it. The preferred embodiments described below are merely examples, and other obvious variations will occur to those skilled in the art.

[0062] Reference Figure 1 As shown, a dynamic power allocation method for mobile energy storage devices based on emergency scenarios includes:

[0063] Acquire the status of mains power, load information, status of mobile energy storage, and peak-valley electricity price information in emergency power supply scenarios;

[0064] The power supply area is divided into multiple power supply zones based on road attributes, and the critical load power level of each zone is determined.

[0065] Based on the grid power status, peak-valley electricity price forecast results, and remaining energy storage capacity, generate at least one set of dynamic power allocation schemes;

[0066] Calculate the power supply balance index and economic operation index for each dynamic power allocation scheme;

[0067] Based on power supply balance index and economic operation index, determine the optimal dynamic power allocation scheme;

[0068] According to the optimal dynamic power allocation scheme, the mains power output power and the mobile energy storage output power are allocated in real time.

[0069] When an abnormality in the mains power is detected, the economic distribution strategy is locked and switched to emergency power supply mode, where mobile energy storage completes the dynamic distribution of full power.

[0070] This solution addresses the practical needs of emergency power supply, which requires reliability, economy, and stability. It establishes a complete closed-loop control process encompassing perception, zoning, planning, evaluation, execution, and emergency response. By comprehensively collecting information on mains power, loads, energy storage, and electricity prices, it provides a data foundation for power allocation. Then, it divides power supply zones according to the importance of power lines and loads, distinguishing between critical and non-critical loads to achieve refined power supply. Subsequently, it generates multiple feasible power allocation schemes based on constraints, selecting the optimal scheme through dual indicators of power supply balance and economy. Finally, it smoothly allocates mains power and energy storage power according to the optimal scheme, ensuring stable power supply at a lower cost. Once an anomaly in the mains power is detected, it immediately abandons the economic strategy and forcibly switches to a pure emergency power supply mode, prioritizing mobile energy storage to ensure power supply to critical loads. This allows for safe, stable, efficient, and economical dynamic power allocation in various emergency situations.

[0071] The acquisition of mains power status, load information, mobile energy storage status, and peak-valley electricity price information in emergency power supply scenarios specifically includes:

[0072] Real-time acquisition of mains power operation status, including: mains power normal, mains power undervoltage, mains power interruption, and mains voltage waveform distortion;

[0073] Obtain the total power requirement of emergency loads, the power of critical loads, the power of non-critical loads, and the real-time load fluctuation value;

[0074] Obtain the remaining SOC, rated discharge power, rated charging power, minimum protection capacity, and maximum full charge capacity of the mobile energy storage device;

[0075] Obtain the three-stage electricity price and time period division rules for valley, flat and peak periods published by the power grid, and determine the corresponding electricity price value and start and end time for each time period;

[0076] For statutory holidays and special dispatch days announced by the power grid, the temporary electricity price adjustment notice issued by the power grid shall be used as a supplementary basis.

[0077] This solution establishes a comprehensive power supply sensing system to provide a data foundation for dynamic power allocation. Specifically: in emergency scenarios, power supply reliability is prioritized, therefore, it is essential to simultaneously collect data on mains power health, load levels, and energy storage status; peak-valley electricity prices are divided into low-price valley periods, medium-price flat periods, and high-price peak periods to achieve economic allocation when the mains power is normal; by acquiring the fixed-time division rules and special day adjustment notices issued by the power grid, the accuracy of electricity price information is ensured, providing a reliable basis for subsequent price-based economic dispatch; energy storage capacity boundaries are used to prevent overcharging and over-discharging, extend battery life, and reserve emergency power.

[0078] The process of dividing the power supply area into multiple power supply zones based on road attributes and determining the critical load power levels of each zone specifically includes:

[0079] In emergency scenarios, continuous areas with the same power supply path, load distribution location, and cable load-bearing capacity are divided into the same power supply zone.

[0080] Each power supply zone is assigned a unique identifier, and the maximum allowable power capacity of each zone is recorded.

[0081] Based on the purpose of the load, it is divided into critical loads and non-critical loads, and the priority power supply level of critical loads is determined.

[0082] Record and statistically analyze the load power, line impedance, and allowable voltage drop of each zone to construct a zone power allocation database.

[0083] This solution is designed to achieve zoned and refined power allocation, preventing single-path overload or localized voltage drops. Specifically, areas with the same line impedance and path capacity can be considered as the same power supply unit, facilitating unified power allocation; critical loads such as rescue equipment, lighting, and communication base stations must be given priority to ensure sufficient power supply, while non-critical loads can be dynamically derated in emergency mode.

[0084] It should be noted that for sudden emergency scenarios or unknown areas where load information cannot be obtained in advance, the above-mentioned partitioned power allocation database cannot be pre-built, and the following real-time identification and dynamic input strategy is adopted:

[0085] The mobile energy storage device uses its built-in load access detection function to identify whether there is a load connected to each power supply circuit in real time, and measures the real-time power and power change characteristics of the connected load.

[0086] Based on the inrush current characteristics and steady-state power value when the load is connected, the load type can be preliminarily determined:

[0087] If the inrush current is large and the steady-state power fluctuation is small, it is determined to be a motor-type load and classified as a critical load.

[0088] If the inrush current is small and the steady-state power is relatively stable, it is determined to be an electronic load;

[0089] If the power fluctuates periodically, it is identified as a lighting or communication load;

[0090] Loads that cannot be clearly classified into levels will be treated as critical loads by default, and their power supply will be prioritized until the operator manually confirms the load level through a remote or local interactive interface.

[0091] All identification results and load level information confirmed by the operators are simultaneously entered into the power allocation database for the generation and optimization of subsequent dynamic power allocation schemes.

[0092] Reference Figure 2 As shown, the process of generating at least one dynamic power allocation scheme based on the grid power status, peak-valley electricity price prediction results, and remaining energy storage capacity specifically includes:

[0093] Determine the upper limit of available mains power based on the mains power status;

[0094] Based on the electricity price period, determine the priority power supply intervals for municipal power and energy storage power supply intervals;

[0095] Based on the energy storage SOC, determine the energy storage's discharge power, rechargeable power, and allowable charge / discharge state;

[0096] Generate mains power allocation values ​​and energy storage power allocation values ​​for each power supply zone;

[0097] Based on the constrained pruning enumeration strategy, several sets of dynamic power allocation schemes are generated, and each set of schemes contains a power allocation sequence for the entire time period.

[0098] This can be explained as follows: this scheme is used to generate all feasible allocation schemes that meet the constraints, providing a basis for subsequent optimal selection. Specifically, each dynamic power allocation scheme must satisfy the following conditions: total output power equals total load power, does not exceed the rated power of the power supply, does not exceed the line's capacity limit, and does not violate energy storage constraints, ensuring that the scheme can be directly executed. In detail:

[0099] Mains power status processing: Based on the mains power status (normal mains power, low mains voltage, mains power interruption, mains voltage waveform distortion), determine the upper limit of available mains power:

[0100] When the mains power is normal, the upper limit of the available mains power is the minimum value between the rated capacity of the mains power and the load demand;

[0101] When the mains voltage is low, the upper limit of the available mains power is reduced linearly according to the depth of the low voltage.

[0102] When the mains power is interrupted, the available mains power is zero, and the power is supplied entirely by energy storage.

[0103] When the mains voltage waveform is distorted, the mains power only supplies power to non-sensitive loads. The upper limit of the available power of the mains is the total power of the non-sensitive loads, and the sensitive loads are switched to energy storage power supply.

[0104] Electricity pricing period processing: Based on peak and off-peak electricity pricing periods, determine the priority power supply intervals for grid power and energy storage power supply intervals.

[0105] The off-peak and peak periods are priority power supply zones for grid power: grid power is used first, and energy storage is only used to supplement grid power when it is insufficient; during off-peak periods, low-priced grid power can be used to charge energy storage.

[0106] Peak periods are designated as energy storage priority power supply zones: energy storage discharge is used to supply power first, reducing the amount of mains power used to save on electricity costs, while mains power is only used to supply critical loads or as a backup.

[0107] Energy storage status processing: Based on the energy storage SOC, determine the energy storage discharge power (when SOC is higher than the minimum protection capacity), the chargeable power (when SOC is lower than the maximum full charge capacity) and the allowable charge and discharge status;

[0108] Zoned Power Allocation: Generate mains power allocation values ​​and energy storage power allocation values ​​for each power supply zone. The specific allocation logic is as follows:

[0109] In the areas where the mains power is prioritized for supply (valley and peak periods), mains power is allocated to each zone first. The total allocated mains power does not exceed the upper limit of available mains power, and the allocated power to each zone does not exceed the maximum allowable load capacity of that zone. The remaining unmet load power is supplemented by energy storage.

[0110] In the energy storage priority power supply zone (peak period), the energy storage discharge power is allocated to each zone first. The total energy storage discharge power shall not exceed the energy storage discharge power, and the power allocated to each zone shall not exceed the maximum allowable carrying power of that zone. Critical loads shall be prioritized to be guaranteed by energy storage. Non-critical loads may be supplied with reduced power or temporarily withheld when energy storage is insufficient. The remaining unmet load power shall be supplemented by the grid power, and the grid power allocation power shall not exceed the upper limit of the grid power available power.

[0111] Scheme generation: Generate mains power allocation values ​​and energy storage power allocation values ​​for each power supply zone. Based on the constraint pruning enumeration strategy, generate several sets of dynamic power allocation schemes. Each scheme contains a power allocation sequence for the entire time period.

[0112] Each set of solutions satisfies the following constraints:

[0113] Power balance: The sum of the total power allocated to the mains and the total power allocated to energy storage equals the total load power;

[0114] Partition capacity: The power allocated to each partition shall not exceed the maximum allowable power of that partition;

[0115] Voltage quality: Calculated based on the line impedance and allowable voltage drop of the zone to ensure that the voltage at the end is not lower than the allowable lower limit;

[0116] Energy storage constraints: The energy storage discharge power shall not exceed the rated discharge power, the charging power shall not exceed the rated charging power, and the SOC shall be maintained between the minimum protected capacity and the maximum full charge capacity;

[0117] Mains power constraints: The total allocated power of the mains power shall not exceed the upper limit of the available mains power.

[0118] The constraint-pruning-based enumeration strategy includes: using the load power of each zone as a benchmark, the rated power of the mains power and energy storage as the upper limit, and the energy storage SOC constraint (SOC(min)≤SOC≤SOC(max)) as the boundary, enumerating in layers according to the output priority divided by the electricity price period, eliminating schemes that do not meet the line capacity and voltage drop constraints, ensuring that the number of generated schemes is within a controllable range, completing finite enumeration within the feasible solution space after pruning, generating several sets of dynamic power allocation schemes, each set of schemes containing a power allocation sequence for the entire time period, and all satisfying that the total output power is equal to the total load power, does not exceed the rated power of the power supply, does not exceed the line carrying capacity limit, and does not violate the energy storage capacity constraint.

[0119] Reference Figure 3 As shown, the calculation of the power supply balance index and economic operation index under each dynamic power allocation scheme specifically includes:

[0120] Based on the mains power and energy storage output power and the load power of each zone at each moment in each scheme, calculate the power deviation value at each moment.

[0121] Based on power deviation, voltage fluctuation and power response speed, the power supply balance index is calculated using the power supply balance formula.

[0122] Based on the three-stage electricity price (valley, peak, and off-peak), grid electricity consumption, and energy storage discharge, economic operation indicators are calculated using an economic operation formula.

[0123] The arithmetic mean of the index values ​​of all control cycles within the analysis period is used as the comprehensive power supply balance index and economic operation index of the dynamic power allocation scheme.

[0124] This can be explained as follows: This scheme is used to quantitatively evaluate the power supply quality and economy of each allocation scheme. The smaller the power supply balance index, the more stable the power distribution and the smaller the fluctuation; the smaller the economic operation index, the lower the electricity cost.

[0125] The power supply balance index is calculated in the following way:

[0126] Suppose the analysis period is divided into T consecutive control periods, each with a duration of Δt, and k = 1, 2, 3, ..., T represents the control period number;

[0127] Define power deviation value ,in, , Let be the average output power of the mains power and the energy storage power during the k-th control cycle, respectively. , These represent the average output power of the mains power and the energy storage power during the (k-1)th control cycle, respectively.

[0128] Define voltage fluctuation factor Where N is the total number of power supply zones. Let i be the average voltage of partition i during the k-th control cycle. The rated voltage of partition i;

[0129] Define response hysteresis factor ,in, Let the average total load power be during the k-th control cycle. It is a very small positive number;

[0130] Define the power supply balance index in the k-th control cycle. ,in, The rated discharge power of the mobile energy storage device. , , To normalize the weighting coefficients, the comprehensive power supply balance index is defined as follows: Where T is the total number of control cycles contained within the analysis period;

[0131] The power balance index is used to quantify the stability of power distribution under dynamic power allocation schemes, avoiding the impact of power abrupt changes on the load and power grid. The power deviation value reflects the degree of output power change between adjacent control cycles of the mains power and energy storage. The smaller the value, the smoother the power regulation. The voltage fluctuation factor takes the maximum proportion of voltage deviation from the rated value in all power supply zones, reflecting the system voltage stability. The smaller the value, the more stable the voltage in each zone. The response lag factor reflects the degree of matching between the total output power of the mains power and energy storage and the total load power. The smaller the value, the more balanced the power supply and demand. The power balance index of each control cycle is obtained by weighted summation of these three components. The arithmetic mean of all control cycles in the analysis period is then taken as the comprehensive power balance index. The smaller the index value, the more stable the power distribution, the more stable the voltage, the better the supply and demand matching, and the higher the power quality.

[0132] The economic performance indicators are calculated in the following manner:

[0133] The electricity prices during off-peak, flat, and peak periods are respectively , , ;

[0134] Define the cost of mains electricity ,in, , The electricity price corresponding to the k-th control period. ;

[0135] Define the equivalent cost of energy storage and discharge. ,in, , Let be the energy storage lifespan reduction factor, then the economic operation indicators ;

[0136] Economic operation indicators are used to quantify the electricity cost under the dynamic power allocation scheme. The grid electricity cost is calculated based on the actual electricity purchased and the corresponding electricity price in each period. The equivalent cost of energy storage discharge is calculated by multiplying the peak electricity price by the life loss factor. It is used to reflect the battery cycle life loss cost caused by energy storage discharge. The sum of the two is used as the economic operation indicator. The smaller the indicator value, the better the economic efficiency of the scheme.

[0137] The determination of the optimal dynamic power allocation scheme based on power supply balance index and economic operation index specifically includes:

[0138] Weighting coefficients are assigned to power supply balance and economic operation indicators, with the power supply balance weight being higher than the economic weight in emergency scenarios.

[0139] By weighting and integrating the power supply balance index with the economic operation index, a comprehensive evaluation value of the scheme is obtained;

[0140] Based on the dynamic power allocation scheme, the dynamic power allocation scheme with the smallest comprehensive evaluation value is selected as the optimal scheme;

[0141] If there is a sudden change in the grid power status or electricity price period, the scheme generation and selection process will be re-executed.

[0142] This can be explained by the fact that, in emergency scenarios, ensuring a continuous and stable power supply to critical loads is the highest priority. Therefore, the weighting coefficient of the power supply balance index is set higher than that of the economic operation index, ensuring that the scheme prioritizes allocation methods with small power fluctuations, stable voltage, and high supply-demand matching. Secondly, under the premise of ensuring power supply stability, a comprehensive evaluation value is formed through weighted fusion, unifying two indicators with different dimensions under the same evaluation framework for comparison. The smaller the comprehensive evaluation value, the better the overall performance of the scheme. Thus, a minimum value screening strategy is used to select the dynamic power allocation scheme with the best overall performance from multiple feasible schemes. Considering the real-time dynamic nature of emergency scenarios, when there are sudden changes in the mains power status (such as switching from normal to abnormal) or the electricity price period (such as switching from valley to peak), the optimal premise of the original scheme has changed. Therefore, it is necessary to immediately trigger the recalculation mechanism to re-execute the scheme generation and selection process to ensure that the power allocation always adapts to the current scenario, thereby achieving a balance between economy and reliability while ensuring the reliability of emergency power supply and minimizing electricity costs.

[0143] Reference Figure 4 As shown, the real-time allocation of mains power output and mobile energy storage output according to the optimal dynamic power allocation scheme specifically includes:

[0144] Based on the optimal dynamic power allocation scheme, the mains output power and energy storage output power of each control cycle are extracted, and the mains output power coefficient in that cycle is calculated.

[0145] Collect the current actual total load power and allocate the output power of the mains power and energy storage in real time according to the output coefficient;

[0146] Maintain total output power equal to total load power to achieve dynamic power balance;

[0147] The distribution process adopts a smooth and gradual approach, with each adjustment not exceeding a% of the rated power.

[0148] At the start of each control cycle, the output coefficient is recalculated based on the current plan to adapt to changes in grid power status and electricity price periods.

[0149] The explanation is that the optimal solution has generated ideal power allocation values ​​for each control cycle based on factors such as mains power status, electricity price period, and energy storage status. However, in actual operation, the load may fluctuate in real time. Therefore, by using the output coefficient, the power ratio relationship in the solution is solidified, and then scaled proportionally according to the real-time load power. This not only follows the optimization results of the solution but also adapts to the real-time changes in the load. The power transfer between mains power and energy storage is achieved through continuous coefficient adjustment, rather than direct switching, thus meeting the emergency load power supply requirements.

[0150] The mains power output coefficient is equal to the ratio obtained by dividing the mains power output power in the current control cycle by the sum of the mains power output power and the energy storage power output power.

[0151] The method of real-time allocation of mains power and energy storage output power according to the output coefficient specifically includes:

[0152] Collect the current actual total load power, multiply the actual total load power by the mains power output coefficient, and obtain the real-time mains power output power;

[0153] Multiply the actual total load power by the energy storage output coefficient to obtain the real-time energy storage output power; where the energy storage output coefficient is equal to 1 minus the mains power output coefficient;

[0154] This allocation method ensures that the sum of the real-time output power of the mains power and the energy storage is always equal to the current actual total load power, thus achieving dynamic power balance.

[0155] The allocation process adopts a smooth and gradual approach, that is, the change in power command is controlled within a% of the system's rated power each time. The target power value is gradually approached through a multi-step progressive approach to avoid voltage drops, frequency fluctuations and load interruptions caused by power sudden changes.

[0156] The step of locking the economic power allocation strategy and switching to emergency power supply mode when a mains power anomaly is detected, with mobile energy storage completing the dynamic full power allocation, specifically includes:

[0157] When a mains power interruption, undervoltage, or distortion exceeds a preset threshold, it is immediately determined to be a mains power malfunction.

[0158] Forcefully lock out all economic allocation logic based on electricity prices and stop energy storage charging;

[0159] Allocate energy storage output power to prioritize supplying critical loads;

[0160] Non-critical loads are classified and handled according to their importance level: priority is given to ensuring the protection of non-critical loads with higher importance level, and the power allocation of non-critical loads with lower importance level is reduced or they are disconnected in sequence.

[0161] Real-time monitoring of energy storage SOC; when energy storage SOC falls below the preset emergency alarm threshold, an early warning is issued, and non-critical loads are switched off sequentially from low to high load level until energy storage SOC stabilizes above the minimum protection capacity.

[0162] This solution is designed to ensure the highest priority objective in emergency scenarios: uninterrupted power supply to critical loads. Specifically, after a mains power failure, economic considerations are disregarded, and all power allocation revolves around emergency power preservation. When switching to emergency power preservation mode, a smooth and gradual transfer of mains power output to energy storage output is used to avoid load interruptions caused by sudden power surges. By dynamically differentiating load levels, reducing the power of non-critical loads in stages, and gradually cutting off low-priority loads, the solution maximizes emergency protection time and system reliability.

[0163] The preset threshold is calculated by collecting monitoring data of parameters such as mains voltage and harmonics under normal operating conditions, calculating the mean μ and standard deviation σ of each parameter, and using μ±3σ as the normal fluctuation boundary. If the value exceeds this boundary and the duration exceeds the set time, it is determined to be an abnormal mains voltage.

[0164] The preset emergency alarm threshold is determined by collecting historical discharge data from the energy storage system, statistically analyzing the probability distribution of critical load power and the empirical distribution of emergency response time, selecting the critical load power value and emergency response time value corresponding to the 90th percentile as the design basis, multiplying the two to obtain the total power demand in the emergency scenario, dividing by the total capacity of the energy storage system to calculate the required emergency margin, and finally setting the emergency alarm threshold as the sum of the minimum protection power and the emergency margin, thereby ensuring that the system can reserve sufficient time to complete the graded power outage operation in 90% of emergency scenarios.

[0165] Furthermore, the method according to the embodiments of this application can also be achieved by means of... Figure 5 The architecture of the electronic device shown is used to implement this. For example... Figure 5 As shown, the electronic device 500 may include a bus 501, one or more CPUs 502, a read-only memory (ROM) 503, a random access memory (RAM) 504, a communication port 505 connected to a network, an input / output component 506, a hard disk 507, etc. The storage device in the electronic device 500, such as the ROM 503 or the hard disk 507, may store a dynamic power allocation method for mobile energy storage devices based on emergency scenarios provided in this application. The electronic device 500 may also include a user interface 508. Of course, Figure 5 The architecture shown is merely exemplary and can be omitted as needed when implementing different devices. Figure 5 One or more components in the illustrated electronic device.

[0166] Figure 6This is a schematic diagram of a computer-readable storage medium structure provided in one embodiment of this application. Figure 6 The diagram illustrates a computer-readable storage medium 600 according to one embodiment of this application. The computer-readable storage medium 600 stores computer-readable instructions. When executed by a processor, the computer-readable instructions can perform a dynamic power allocation method for a mobile energy storage device based on an emergency scenario, as described above with reference to the accompanying drawings, according to an embodiment of this application. The storage medium 600 includes, but is not limited to, volatile memory and / or non-volatile memory. Volatile memory may include, for example, random access memory (RAM) and cache memory. Non-volatile memory may include, for example, read-only memory (ROM), hard disk, flash memory, etc.

[0167] In summary, the advantages of this invention are: it can balance power supply reliability and operational economy in emergency scenarios, and achieve safe, stable and efficient dynamic power allocation for mobile energy storage devices through zoned fine allocation, dual-index optimization, smooth power regulation and automatic blocking economic strategies for abnormal mains power.

[0168] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the claimed invention. The scope of protection claimed by the appended claims and their equivalents is defined.

Claims

1. A dynamic power allocation method for mobile energy storage devices based on emergency scenarios, characterized in that, include: Acquire the status of mains power, load information, status of mobile energy storage, and peak-valley electricity price information in emergency power supply scenarios; The power supply area is divided into multiple power supply zones based on road attributes, and the critical load power level of each zone is determined. Based on the grid power status, peak-valley electricity price forecast results, and remaining energy storage capacity, generate at least one set of dynamic power allocation schemes; Calculate the power supply balance index and economic operation index for each dynamic power allocation scheme; Based on power supply balance index and economic operation index, determine the optimal dynamic power allocation scheme; According to the optimal dynamic power allocation scheme, the mains power output power and the mobile energy storage output power are allocated in real time. When an abnormality in the mains power is detected, the economic distribution strategy is locked and switched to emergency power supply mode, where mobile energy storage completes the dynamic distribution of full power.

2. The dynamic power allocation method for mobile energy storage devices based on emergency scenarios according to claim 1, characterized in that, The acquisition of mains power status, load information, mobile energy storage status, and peak-valley electricity price information in emergency power supply scenarios specifically includes: Real-time acquisition of mains power operation status, including: mains power normal, mains power undervoltage, mains power interruption, and mains voltage waveform distortion; Obtain the total power requirement of emergency loads, the power of critical loads, the power of non-critical loads, and the real-time load fluctuation value; Obtain the remaining SOC, rated discharge power, rated charging power, minimum protection capacity, and maximum full charge capacity of the mobile energy storage device; Obtain the three-stage electricity price and time period division rules for valley, flat and peak periods published by the power grid, and determine the corresponding electricity price value and start and end time for each time period; For statutory holidays and special dispatch days announced by the power grid, the temporary electricity price adjustment notice issued by the power grid shall be used as a supplementary basis.

3. The dynamic power allocation method for mobile energy storage devices based on emergency scenarios according to claim 2, characterized in that, The process of dividing the power supply area into multiple power supply zones based on road attributes and determining the critical load power levels of each zone specifically includes: In emergency scenarios, continuous areas with the same power supply path, load distribution location, and cable load-bearing capacity are divided into the same power supply zone. Each power supply zone is assigned a unique identifier, and the maximum allowable power capacity of each zone is recorded. Based on the purpose of the load, it is divided into critical loads and non-critical loads, and the priority power supply level of critical loads is determined. Record and statistically analyze the load power, line impedance, and allowable voltage drop of each zone to construct a zone power allocation database.

4. The dynamic power allocation method for mobile energy storage devices based on emergency scenarios according to claim 3, characterized in that, The process of generating at least one dynamic power allocation scheme based on the grid power status, peak-valley electricity price prediction results, and remaining energy storage capacity specifically includes: Determine the upper limit of available mains power based on the mains power status; Based on the electricity price period, determine the priority power supply intervals for municipal power and energy storage power supply intervals; Based on the energy storage SOC, determine the energy storage's discharge power, rechargeable power, and allowable charge / discharge state; Generate mains power allocation values ​​and energy storage power allocation values ​​for each power supply zone; Based on the constrained pruning enumeration strategy, several sets of dynamic power allocation schemes are generated, and each set of schemes contains a power allocation sequence for the entire time period.

5. The dynamic power allocation method for mobile energy storage devices based on emergency scenarios according to claim 4, characterized in that, The calculation of the power supply balance index and economic operation index under each dynamic power allocation scheme specifically includes: Based on the mains power and energy storage output power and the load power of each zone at each moment in each scheme, calculate the power deviation value at each moment. Based on power deviation, voltage fluctuation and power response speed, the power supply balance index is calculated using the power supply balance formula. Based on the three-stage electricity price (valley, peak, and off-peak), grid electricity consumption, and energy storage discharge, economic operation indicators are calculated using an economic operation formula. The arithmetic mean of the index values ​​of all control cycles within the analysis period is used as the comprehensive power supply balance index and economic operation index of the dynamic power allocation scheme.

6. The dynamic power allocation method for mobile energy storage devices based on emergency scenarios according to claim 5, characterized in that, The determination of the optimal dynamic power allocation scheme based on power supply balance index and economic operation index specifically includes: Weighting coefficients are assigned to power supply balance and economic operation indicators, with the power supply balance weight being higher than the economic weight in emergency scenarios. By weighting and integrating the power supply balance index with the economic operation index, a comprehensive evaluation value of the scheme is obtained; Based on the dynamic power allocation scheme, the dynamic power allocation scheme with the smallest comprehensive evaluation value is selected as the optimal scheme; If there is a sudden change in the grid power status or electricity price period, the scheme generation and selection process will be re-executed.

7. The dynamic power allocation method for mobile energy storage devices based on emergency scenarios according to claim 6, characterized in that, The real-time allocation of mains power output and mobile energy storage output according to the optimal dynamic power allocation scheme specifically includes: Based on the optimal dynamic power allocation scheme, the mains output power and energy storage output power of each control cycle are extracted, and the mains output power coefficient in that cycle is calculated. Collect the current actual total load power and allocate the output power of the mains power and energy storage in real time according to the output coefficient; Maintain total output power equal to total load power to achieve dynamic power balance; The distribution process adopts a smooth and gradual approach, with each adjustment not exceeding a% of the rated power. At the start of each control cycle, the output coefficient is recalculated based on the current plan to adapt to changes in grid power status and electricity price periods.

8. The dynamic power allocation method for mobile energy storage devices based on emergency scenarios according to claim 7, characterized in that, The step of locking the economic power allocation strategy and switching to emergency power supply mode when a mains power anomaly is detected, with mobile energy storage completing the dynamic full power allocation, specifically includes: When a mains power interruption, undervoltage, or distortion exceeds a preset threshold, it is immediately determined to be a mains power malfunction. Forcefully lock out all economic allocation logic based on electricity prices and stop energy storage charging; Allocate energy storage output power to prioritize supplying critical loads; Non-critical loads are classified and handled according to their importance level: priority is given to ensuring the protection of non-critical loads with higher importance level, and the power allocation of non-critical loads with lower importance level is reduced or they are disconnected in sequence. Real-time monitoring of energy storage SOC; when the energy storage SOC falls below the preset emergency alarm threshold, an early warning is issued, and non-critical loads are switched off sequentially from low to high load level until the energy storage SOC stabilizes above the minimum protection capacity.

9. An electronic device, characterized in that, include: At least one processor; And, a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, which, when executed by the at least one processor, enables the at least one processor to perform a dynamic power allocation method for mobile energy storage devices based on emergency scenarios as described in any one of claims 1-8.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the dynamic power allocation method for mobile energy storage devices based on emergency scenarios according to any one of claims 1-8.

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