Adjustable resource control method considering power fluctuation suppression and three-phase dynamic balance

Abstract

The invention relates to an adjustable resource control method giving consideration to power fluctuation suppression and three-phase dynamic balance. The method comprises the following steps: collecting the total load power of a user, the load / power of an adjustable resource and the three-phase power; calculating a fluctuation residual error, splitting the fluctuation residual error to obtain fusion components, and determining the source of each fusion component; by adopting a three-phase average distribution principle, calculating a fluctuation stabilization control adjusting quantity of a source of each fusion component to obtain a fluctuation stabilization control adjusting quantity of an adjustable resource; generating a three-phase balance regulating variable based on the fluctuation stabilizing control regulating variable and the three-phase power of the V2G unit of the electric vehicle; calculating the total control regulating variable of the V2G unit of the electric vehicle based on the fluctuation stabilizing control regulating variable and the three-phase balance regulating variable of the V2G unit of the electric vehicle; and respectively controlling the adjustable resources by adopting the fluctuation stabilizing control adjusting quantity and the total control adjusting quantity. According to the invention, power fluctuation suppression and three-phase dynamic balance of the power distribution area can be simultaneously considered.

Description

Technical Field

[0001] This invention relates to the field of smart distribution network technology, and in particular to an adjustable resource control method that balances power fluctuation suppression and three-phase dynamic balance. Background Technology

[0002] Traditionally, the three-phase imbalance problem in distribution transformer areas stems from the random distribution of single-phase loads from users and the asymmetrical operation of three-phase motors. With the integration of distributed energy resources, the volatility of net load in distribution transformer areas has intensified. In particular, the widespread adoption of electric vehicles as large single-phase loads means that their disordered charging behavior can easily accumulate in time and space, leading to severe three-phase imbalance and causing problems such as excessive neutral current, reduced transformer output, increased line losses, and deteriorated voltage quality.

[0003] The maturity of Vehicle-to-Grid (V2G) technology offers a novel approach to solving the aforementioned problems. However, existing V2G-based control strategies often have limitations, focusing solely on peak shaving and valley filling without integrating power optimization with three-phase balance. Therefore, a new method is needed that can accurately analyze power demand and fully utilize V2G capabilities for phase power complementarity, thereby achieving stable operation of distribution substations and intrinsic synergy of three-phase balance. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide an adjustable resource control method that takes into account both power fluctuation suppression and three-phase dynamic balance, and can simultaneously take into account both power fluctuation suppression and three-phase dynamic balance in the distribution area.

[0005] The technical solution adopted by this invention to solve its technical problem is: to provide an adjustable resource control method that takes into account both power fluctuation suppression and three-phase dynamic balance, including the following steps:

[0006] Collect the total load power of users on the distribution substation bus, the actual output of photovoltaic power, electric vehicle load, total charging and discharging power of energy storage system, and three-phase power;

[0007] The fluctuation residual is calculated based on the total user load power, actual photovoltaic output, electric vehicle load, and total charging and discharging power of the energy storage system. The fluctuation residual is then decomposed to obtain fused components, and the source of each fused component is determined.

[0008] Using the principle of three-phase average distribution, the fluctuation smoothing control adjustment amount of each fusion component is calculated for its source, and the fluctuation smoothing control adjustment amount of electric vehicle V2G unit, photovoltaic inverter and energy storage unit are obtained.

[0009] Based on the fluctuation smoothing control adjustment amount of the electric vehicle V2G unit and the three-phase power generation three-phase balance adjustment amount;

[0010] The total control adjustment of the electric vehicle V2G unit is calculated based on the fluctuation suppression control adjustment amount of the electric vehicle V2G unit and the three-phase balance adjustment amount;

[0011] The total control adjustment of the electric vehicle V2G unit, the fluctuation suppression control adjustment of the photovoltaic inverter, and the fluctuation suppression control adjustment of the energy storage unit are used to control the electric vehicle V2G unit, the photovoltaic inverter, and the energy storage unit, respectively.

[0012] The process involves calculating the fluctuation residual based on the total user load power, actual photovoltaic output, electric vehicle load, and total charging and discharging power of the energy storage system, then decomposing the fluctuation residual into fused components, and determining the source of each fused component. Specifically, this includes:

[0013] The net load of the distribution station area is calculated based on the total user load power, actual photovoltaic output, electric vehicle load, and total charging and discharging power of the energy storage system. The net load is then subtracted from the target net power to obtain the fluctuation residual.

[0014] The ICEEMDAN algorithm is used to decompose the fluctuation residual into a set of first mode components;

[0015] The VMD decomposition algorithm is used to decompose the fluctuation residual into a set of second mode components;

[0016] The first and second modal components are fused using an attention fusion gating mechanism to obtain a set of fused modal components;

[0017] For each fused mode component, calculate its similarity index with the actual output of photovoltaics, electric vehicle load, and total charging and discharging power of energy storage system, and determine the source of each fused mode component based on the similarity index.

[0018] The similarity index is calculated as follows: ,in, To fuse modal components With adjustable resources Similarity index, , Indicates photovoltaics, Indicates electric vehicle, Indicates energy storage system, To fuse modal components With adjustable resources The Pearson correlation coefficient between them To fuse modal components With adjustable resources The dynamic time-normalized distance between them Let be the normalization constant for the Pearson correlation coefficient. Let be the normalization constant for the dynamic time-warped distance. These are the weighting coefficients.

[0019] The principle of three-phase average distribution is adopted to calculate the fluctuation smoothing control adjustment amount from which each fused component originates, thereby obtaining the fluctuation smoothing control adjustment amounts for the electric vehicle V2G unit, the photovoltaic inverter, and the energy storage unit, specifically including:

[0020] Calculate the total power that needs to be regulated for each fusion component and distribute it evenly across the three phases to obtain the regulation power that each phase needs to bear;

[0021] The fluctuation suppression control adjustment amounts for the electric vehicle V2G unit, the photovoltaic inverter, and the energy storage unit are calculated based on the adjustment power required for each phase and the adjustable capacity of the adjustable resources.

[0022] The calculation of the fluctuation smoothing control adjustment amounts for the electric vehicle V2G unit, the photovoltaic inverter, and the energy storage unit based on the adjustment power required for each phase and the adjustable capacity of the adjustable resources specifically includes:

[0023] When the adjustable resource is photovoltaic, if The photovoltaic inverter needs to handle a regulation power greater than zero. The phase easing control adjustment amount is: ;like The required regulation power of the photovoltaic inverter is less than zero. The phase easing control adjustment amount is: ;in, For photovoltaic inverters Phase sedation control adjustment amount, for The required adjustment power For the adjustable capacity of photovoltaic inverters, for The collection of all adjustable photovoltaic inverters;

[0024] When the adjustable resources are electric vehicles, if The required regulation power of the electric vehicle V2G unit is greater than zero. The phase easing control adjustment amount is: ;like The required regulation power of the electric vehicle V2G unit is less than zero. The phase easing control adjustment amount is: ;in, For electric vehicle V2G unit pair Phase sedation control adjustment amount, Adjustable capacity for V2G units in electric vehicles. for The collection of all adjustable electric vehicle V2G units;

[0025] When the adjustable resource is an energy storage system, if The required regulation power of the energy storage unit is greater than zero. The phase easing control adjustment amount is: ;like The required regulation power of the energy storage unit is less than zero. The phase easing control adjustment amount is: ;in, For energy storage units Phase sedation control adjustment amount, For the adjustable capacity of the energy storage unit, for A collection of all adjustable energy storage units.

[0026] The adjustment amount based on the fluctuation suppression control of the electric vehicle V2G unit and the three-phase balance adjustment amount of the three-phase power generation specifically includes:

[0027] The deviation between the power of each phase and the average power of the three phases is calculated based on the three-phase power, and the heavily loaded phase and the lightly loaded phase are identified based on the deviation.

[0028] The power to be transferred is determined based on the smaller absolute value of the deviation between the heavily loaded phase and the lightly loaded phase.

[0029] The remaining adjustable capacity is calculated for the electric vehicle V2G unit in the heavy-load phase and the electric vehicle V2G unit in the light-load phase based on the fluctuation smoothing control adjustment amount of the electric vehicle V2G unit.

[0030] The three-phase balance adjustment amount is obtained based on the remaining adjustable capacity.

[0031] The process of obtaining the three-phase balance adjustment amount based on the remaining adjustable capacity is as follows:

[0032] For the heavy-load phase, the adjustment amount of the electric vehicle V2G unit is: ;

[0033] For the light-load phase, the adjustment amount of the electric vehicle V2G unit is: ;

[0034] For the third phase, the adjustment amount of the electric vehicle V2G unit is zero;

[0035] in, The adjustment amount for the V2G unit of the electric vehicle. The power to be transferred, The remaining capacity available for discharge by the V2G unit in the electric vehicle. The remaining capacity available for charging of V2G units in electric vehicles. This is the collection of all adjustable electric vehicle V2G units on the heavy-load phase. It is the collection of all adjustable electric vehicle V2G units on the light load phase.

[0036] The calculation of the total control adjustment of the electric vehicle V2G unit based on the fluctuation suppression control adjustment and the three-phase balance adjustment specifically includes:

[0037] Extract the fusion component that needs to be smoothed for electric vehicles, calculate its standard deviation, and then perform linear normalization on the obtained standard deviation to obtain the normalized standard deviation. ;

[0038] The deviation between the power of each phase and the average power of the three phases is calculated based on the three-phase power, and the imbalance degree of the deviation is calculated. The obtained imbalance degree is then linearly normalized to obtain the normalized imbalance degree. ;

[0039] use Calculate the adjustment weights; where, To adjust the weight of the quantity, To balance the adjustment of the weight discount coefficient;

[0040] The total control adjustment of the electric vehicle V2G unit is obtained by weighting and summing the fluctuation suppression control adjustment and the three-phase balance adjustment using the aforementioned adjustment weights.

[0041] The technical solution adopted by this invention to solve its technical problem is: to provide an adjustable resource control device that takes into account both power fluctuation suppression and three-phase dynamic balance, comprising:

[0042] The data acquisition module is used to collect the total load power of users on the distribution substation bus, the actual output of photovoltaic power, electric vehicle load, total charging and discharging power of energy storage system, and three-phase power;

[0043] The fusion component calculation and determination module is used to calculate the fluctuation residual based on the total user load power, actual photovoltaic output, electric vehicle load, and total charging and discharging power of the energy storage system, and to decompose the fluctuation residual to obtain fusion components and determine the source of each fusion component;

[0044] The fluctuation smoothing control adjustment quantity calculation module is used to calculate the fluctuation smoothing control adjustment quantity of each fused component based on the principle of three-phase average distribution, so as to obtain the fluctuation smoothing control adjustment quantity of electric vehicle V2G unit, photovoltaic inverter and energy storage unit.

[0045] The three-phase balance adjustment quantity generation module is used to generate a three-phase balance adjustment quantity based on the fluctuation smoothing control adjustment quantity of the electric vehicle V2G unit and the three-phase power.

[0046] The total control adjustment calculation module for the electric vehicle V2G unit is used to calculate the total control adjustment of the electric vehicle V2G unit based on the fluctuation suppression control adjustment and the three-phase balance adjustment.

[0047] The control module is used to control the electric vehicle V2G unit, the photovoltaic inverter, and the energy storage unit respectively using the total control adjustment amount of the electric vehicle V2G unit, the fluctuation smoothing control adjustment amount of the photovoltaic inverter, and the fluctuation smoothing control adjustment amount of the energy storage unit.

[0048] The fusion component calculation and determination module includes:

[0049] The fluctuation residual calculation unit is used to calculate the net load of the distribution station area based on the total user load power, actual photovoltaic output, electric vehicle load, and total charging and discharging power of the energy storage system, and to subtract the target net power from the net load to obtain the fluctuation residual.

[0050] The first decomposition unit is used to decompose the fluctuation residual into a set of first mode components using the ICEEMDAN algorithm.

[0051] The second decomposition unit is used to decompose the fluctuation residual into a signal using the VMD decomposition algorithm to obtain a set of second mode components.

[0052] The fusion unit is used to fuse the first modal component and the second modal component through an attention fusion gating mechanism to obtain a set of fused modal components;

[0053] The source determination unit is used to calculate the similarity index between each fusion mode component and the actual output of photovoltaic, electric vehicle load, and total charging and discharging power of energy storage system, and to determine the source of each fusion mode component based on the similarity index.

[0054] The source determination unit adopts Calculate the similarity index, where, To fuse modal components With adjustable resources Similarity index, , Indicates photovoltaics, Indicates electric vehicle, Indicates energy storage system, To fuse modal components With adjustable resources The Pearson correlation coefficient between them To fuse modal components With adjustable resources The dynamic time-normalized distance between them Let be the normalization constant for the Pearson correlation coefficient. Let be the normalization constant for the dynamic time-warped distance. These are the weighting coefficients.

[0055] The fluctuation smoothing control adjustment amount calculation module includes:

[0056] The single-phase regulation power calculation unit is used to calculate the total power that needs to be regulated for each fusion component and distribute it evenly to the three phases to obtain the regulation power that each phase needs to bear.

[0057] The fluctuation smoothing control adjustment unit is used to calculate the fluctuation smoothing control adjustment amount of the electric vehicle V2G unit, the fluctuation smoothing control adjustment amount of the photovoltaic inverter, and the fluctuation smoothing control adjustment amount of the energy storage unit based on the adjustment power required by each phase and the adjustable capacity of the adjustable resources.

[0058] The suppression control adjustment calculation unit includes:

[0059] The first calculation subunit is used to, when the adjustable resource is photovoltaic, if The photovoltaic inverter needs to handle a regulation power greater than zero. The phase easing control adjustment amount is: ;like The required regulation power of the photovoltaic inverter is less than zero. The phase easing control adjustment amount is: ;in, For photovoltaic inverters Phase sedation control adjustment amount, for The required adjustment power For the adjustable capacity of photovoltaic inverters, for The collection of all adjustable photovoltaic inverters;

[0060] The second calculation subunit is used when the adjustable resource is an electric vehicle, if... The required regulation power of the electric vehicle V2G unit is greater than zero. The phase easing control adjustment amount is: ;like The required regulation power of the electric vehicle V2G unit is less than zero. The phase easing control adjustment amount is: ;in, For electric vehicle V2G unit pair Phase sedation control adjustment amount, Adjustable capacity for V2G units in electric vehicles. for The collection of all adjustable electric vehicle V2G units;

[0061] The third calculation subunit is used when the adjustable resource is an energy storage system, if... The required regulation power of the energy storage unit is greater than zero. The phase easing control adjustment amount is: ;like The required regulation power of the energy storage unit is less than zero. The phase easing control adjustment amount is: ;in, For energy storage units Phase sedation control adjustment amount, For the adjustable capacity of the energy storage unit, for A collection of all adjustable energy storage units.

[0062] The three-phase balance adjustment generation module includes:

[0063] The identification unit is used to calculate the deviation between the power of each phase and the average power of the three phases based on the three-phase power, and to identify the heavily loaded phase and the lightly loaded phase based on the deviation.

[0064] The power to be transferred determination unit is used to determine the power to be transferred based on the smaller absolute value of the deviation between the heavy-load phase and the light-load phase.

[0065] The remaining adjustable capacity calculation unit is used to calculate the remaining adjustable capacity of the electric vehicle V2G unit in the heavy load phase and the electric vehicle V2G unit in the light load phase according to the fluctuation smoothing control adjustment amount of the electric vehicle V2G unit.

[0066] The three-phase balance adjustment calculation unit is used to obtain the three-phase balance adjustment based on the remaining adjustable capacity.

[0067] The three-phase balance adjustment calculation unit includes:

[0068] The heavy-load phase calculation unit is used to calculate the heavy-load phase using... Calculate the adjustment amount of the V2G unit of the electric vehicle;

[0069] The light-load phase calculation unit is used to perform calculations on the light-load phase. Calculate the adjustment amount of the V2G unit of the electric vehicle;

[0070] The third phase calculation unit is used to set the adjustment amount of the electric vehicle V2G unit to zero for the third phase.

[0071] in, The adjustment amount for the V2G unit of the electric vehicle. The power to be transferred, The remaining capacity available for discharge by the V2G unit in the electric vehicle. The remaining capacity available for charging of V2G units in electric vehicles. This is the collection of all adjustable electric vehicle V2G units on the heavy-load phase. It is the collection of all adjustable electric vehicle V2G units on the light load phase.

[0072] The technical solution adopted by the present invention to solve its technical problem is: to provide an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, it implements the steps of the above-mentioned adjustable resource control method that takes into account both power fluctuation suppression and three-phase dynamic balance.

[0073] The technical solution adopted by the present invention to solve its technical problem is: to provide a computer-readable storage medium on which a computer program is stored, wherein when the computer program is executed by a processor, the steps of the above-mentioned adjustable resource control method that takes into account both power fluctuation suppression and three-phase dynamic balance are implemented.

[0074] Beneficial effects

[0075] Due to the adoption of the above-mentioned technical solutions, this invention has the following advantages and positive effects compared with the prior art: This invention, through fluctuation residual decomposition and source tracing, combined with the three-phase average distribution principle, accurately matches adjustable resources and control requirements, avoiding the introduction of new three-phase imbalances when smoothing fluctuations. This invention fully leverages the flexible control advantages of V2G units, integrates fluctuation smoothing and three-phase balance adjustment to generate a total control command, and achieves optimal allocation of resource adjustment capabilities. This invention breaks through the limitations of traditional single-target control, simultaneously achieving power fluctuation suppression and three-phase dynamic balance in the distribution area, significantly improving the stability and reliability of the distribution area operation. Attached Figure Description

[0076] Figure 1 This is a flowchart of the adjustable resource control method that takes into account both power fluctuation suppression and three-phase dynamic balance in the first embodiment of the present invention.

[0077] Figure 2This is a flowchart of the signal decomposition process in the first embodiment of the present invention. Detailed Implementation

[0078] The present invention will be further illustrated below with reference to specific embodiments. It should be understood that these embodiments are for illustrative purposes only and are not intended to limit the scope of the invention. Furthermore, it should be understood that after reading the teachings of this invention, those skilled in the art can make various alterations or modifications to the invention, and these equivalent forms also fall within the scope defined by the appended claims.

[0079] The first embodiment of the present invention relates to an adjustable resource control method that balances power fluctuation suppression and three-phase dynamic balance, such as... Figure 1 As shown, it includes the following steps:

[0080] Step 1: Collect the total user load power, actual photovoltaic output, electric vehicle load, total charging and discharging power of the energy storage system, and three-phase power on the distribution substation bus.

[0081] This step involves using smart meters deployed in the distribution transformer area to collect real-time data on the total load power of users on the area's bus. Actual output of photovoltaic power Electric vehicle load Total charging and discharging power of the energy storage system Read the measured power values ​​of phases A, B, and C at the current moment. .

[0082] Step 2: Calculate the fluctuation residual based on the total user load power, actual photovoltaic output, electric vehicle load, and total charging / discharging power of the energy storage system. Then, decompose the fluctuation residual to obtain fused components and determine the source of each fused component. This step specifically includes:

[0083] (1) Calculation of fluctuation residuals:

[0084] The net load of the transformer area is calculated in real time based on real-time data acquisition. This net load value reflects the power that needs to be shared by distribution transformers and coordinated distributed resources, and its calculation formula is as follows:

[0085] ;

[0086] in, For the number of photovoltaic cells, The number of electric vehicles currently charging or discharging. This represents the total amount of energy stored.

[0087] At the same time, the system sets a smooth, desired target net power curve. The difference between the actual net power and the target net power is the residual fluctuation that needs to be smoothed. ,Right now: .

[0088] (2) Signal decomposition:

[0089] The fluctuation residual of the latest time series window obtained The workflow for signal decomposition is as follows: Figure 2 As shown, this signal decomposition process leverages the complementary strengths of the improved Adaptive Noise Complete Set Empirical Mode Decomposition (ICEEMDAN) algorithm and the Variational Mode Decomposition (VMD) algorithm to more comprehensively and accurately analyze the time-frequency characteristics of complex power grid power fluctuation signals, thereby providing a more reliable data foundation for subsequent screening of key fluctuation components and achieving precise regulation.

[0090] The ICEEMDAN algorithm is a signal decomposition method based on Empirical Mode Decomposition (EMD). It improves the stability and accuracy of the decomposition by introducing adaptive noise and a complete ensemble strategy. Its formula is as follows:

[0091] First-tier IMF:

[0092] ;

[0093] First-order residual:

[0094] ;

[0095] k-th order IMF:

[0096] ;

[0097] k-th order residual:

[0098] ;

[0099] in, This represents the local mean calculated from the signal to be decomposed. This represents the k-th IMF obtained by performing EMD decomposition on the signal. Let i be the white noise sequence added for the i-th time. Noise figure This is the average coefficient.

[0100] ;

[0101] in, Based on the basic noise figure, For adjustment coefficients, For the local standard deviation of the short-time window, This represents the global standard deviation.

[0102] The ICEEMDAN algorithm adaptively incorporates fluctuation residuals. Decomposed into a series of intrinsic mode function components, ultimately yielding a set of modal components. .

[0103] VMD decomposition is a method that decomposes a non-stationary signal into multiple modal components with finite bandwidths and different center frequencies. These components effectively reflect the frequency characteristics of the signal. First, a number of modes is set. Set the number of modes Afterwards, the goal of VMD is to reduce the fluctuation residuals. Decomposed into Modal components Each mode has a center frequency. .

[0104] The decomposition process solves the following optimization problem:

[0105] ;

[0106] The constraints are:

[0107] ;

[0108] Iterative solutions to problems are typically found using the alternating direction multiplier method, with the following steps:

[0109] initialization , Lagrange multipliers .

[0110] Update each mode in the frequency domain ,Right now:

[0111] ;

[0112] Update center frequency ,Right now:

[0113] ;

[0114] Update Lagrange multipliers ,Right now:

[0115] ;

[0116] Repeat the steps until convergence, eventually obtaining another set of modal components. .

[0117] The attention fusion gating mechanism aims to integrate modal components from the two signal decomposition pathways ICEEMDAN and VMD. By extracting features and evaluating weights for each modal component, it achieves more accurate and robust screening of fluctuation components, thereby improving the effectiveness of subsequent control strategies.

[0118] After feature extraction of the modal components obtained from the two decomposition paths, the input is fed into the multi-head attention fusion gating module. The feature extraction extracts temporal features (mean, variance, skewness, kurtosis) and frequency domain features (dominant frequency, frequency band energy ratio) for each modal component.

[0119] For the k-th component of ICEEMDAN Construct feature vectors :

[0120] ;

[0121] in, These are the mean, variance, skewness, kurtosis, dominant frequency, and bandwidth energy ratio, respectively.

[0122] Similarly, for the k-th component of VMD Constructing feature vectors .

[0123] Multi-head attention fusion will integrate feature vectors and After concatenation, an F-input multi-head attention layer is formed, and the importance of each modal component is evaluated through self-attention calculation. Attention weights. Calculated using the following formula:

[0124] ;

[0125] in, These are query, key, and value matrices, respectively. This is the dimension scaling factor. The original modal components are weighted and fused according to the attention weights to obtain a set of fused modal components. .

[0126] (3) Modal component tracing

[0127] For each fused modal component Identify the primary sources of fluctuation and assign suppression resources accordingly for each Calculate its weighted dynamic fusion similarity index with three key fluctuation source sequences (photovoltaic power output, total power of electric vehicles, and total power of energy storage). .

[0128] ;

[0129] in, They represent photovoltaics, electric vehicles, and energy storage, respectively. To integrate modal components and adjustable resources The Pearson correlation coefficient between them To fuse modal components With adjustable resources The dynamic time-normalized distance between them These are the weighting coefficients. Let be the normalization constant for the Pearson correlation coefficient. is the normalization constant for the dynamic time-warped distance.

[0130] Identify the dominant fluctuation source and find the related... The type of fluctuation source with the strongest correlation is:

[0131]

[0132] in, The threshold is used to exclude irrelevant components with weak correlation.

[0133] Finally, the modal components are... Assign adjustment resource type, if Then a photovoltaic inverter is used for regulation. Then, the V2G unit of the electric vehicle is used for regulation. In this case, energy storage units are used for regulation.

[0134] Therefore, this implementation method, which employs the ICEEMDAN-VMD-Attention hybrid signal decomposition and source tracing method, can more accurately analyze the time-frequency characteristics of complex fluctuation signals and identify their sources, thereby achieving accurate identification of fluctuations from different sources and in different frequency bands, and improving the effectiveness and adaptability of the mitigation strategy.

[0135] Step 3: Using the principle of three-phase average distribution, calculate the fluctuation smoothing control adjustment amount of each fused component, and obtain the fluctuation smoothing control adjustment amount of the electric vehicle V2G unit, the photovoltaic inverter, and the energy storage unit.

[0136] For each IMF component that has been traced, identified, and assigned a type of suppressed resource... This generates specific power regulation commands. To ensure that no new three-phase imbalance is introduced during the smoothing of fluctuations, this implementation adopts the principle of three-phase average distribution. The suppression power demand of each IMF component is first evenly distributed across phases A, B, and C to form the basic regulation amount for each phase. Then, within each phase, it is borne by the schedulable resources connected to that phase and traced back to the aforementioned fluctuation components.

[0137] For each fused modal component (IMF) that needs to be smoothed, the total power that needs to be adjusted is:

[0138] ;

[0139] To ensure that the adjustment process does not affect the three-phase balance, the suppression power is evenly distributed among phases A, B, and C. The suppression power required for each phase is as follows:

[0140] ;

[0141] Fusion modal components In each phase Suppression task The power allocation is undertaken by the schedulable resource cluster that is connected to the phase and is the source of the aforementioned fluctuation components. Each unit within the resource cluster allocates power according to its real-time adjustable capacity.

[0142] The photovoltaic inverter control command generation method is as follows:

[0143] Set access The first phase One photovoltaic inverter, whose current actual output is The maximum force that can be emitted at present is The minimum force that can be emitted is .

[0144] For the power allocated to this phase :

[0145] like >0 indicates that the photovoltaic output of this phase needs to be reduced. The available down-regulation capacity for each photovoltaic inverter is: .

[0146] set up for The set of all adjustable photovoltaic inverters in the phase, the first phase Each photovoltaic inverter supports the fusion mode components. exist The power reduction adjustment amount for the phase is:

[0147] ;

[0148] in, Available capacity for photovoltaic up-up or down-down adjustments.

[0149] like <0 indicates that the photovoltaic output of this phase needs to be increased. The available upregulation capacity for each photovoltaic inverter is: .

[0150] The first phase Each photovoltaic inverter supports the fusion mode components. exist The power adjustment amount for the phase is:

[0151] .

[0152] The control commands for the electric vehicle V2G unit are generated as follows:

[0153] Set access The i-th electric vehicle V2G unit of phase i has a rated charging and discharging power of The current charging and discharging power is The battery capacity is The current state of charge is The upper and lower limits of the running SOC are and The control cycle is .

[0154] For the power allocated to this phase :

[0155] like A value >0 indicates that the i-th electric vehicle V2G unit needs to increase the power absorbed from the grid. At this time, the available charging capacity of the i-th electric vehicle V2G unit is:

[0156] ;

[0157] set up for The set of all adjustable V2G units in a phase, where the i-th electric vehicle V2G unit in that phase fuses the modal components. exist The adjustment amount for increasing the absorption power of the phase is:

[0158] ;

[0159] in, Available capacity for charging (CH) or discharging (D) electric vehicles.

[0160] like <0 indicates that the electric vehicle V2G unit needs to increase its power injection into the grid. At this time, the available discharge capacity of the i-th electric vehicle V2G unit is:

[0161] ;

[0162] The i-th electric vehicle V2G unit of this phase fuses the modal components. exist The adjustment amount for increasing the phase injection power is:

[0163]

[0164] The energy storage unit control commands are generated as follows:

[0165] Set access The rated charge / discharge power of the i-th energy storage unit in phase is The current charging and discharging power is The battery capacity is The current state of charge is The upper and lower limits of the running SOC are and .

[0166] For the suppression power allocated to this phase :

[0167] like A value greater than 0 indicates that the energy storage phase requires an increase in power absorbed from the grid. In this case, the available charging capacity of the i-th energy storage unit is:

[0168] ;

[0169] set up for The set of all adjustable energy storage units in a phase, where the i-th energy storage unit is associated with the fusion mode components. exist The adjustment amount for increasing the absorption power of the phase is:

[0170] ;

[0171] in, The available capacity for charging (ch) or discharging (dis) the energy storage system.

[0172] like <0 indicates that the energy storage phase requires increased power injection into the grid. In this case, the available discharge capacity of the i-th energy storage unit is:

[0173] ;

[0174] set up for The set of all adjustable energy storage units in a phase, where the i-th energy storage unit is associated with the fusion mode components. exist The adjustment amount for increasing the phase injection power is:

[0175] .

[0176] Step 4: Based on the fluctuation smoothing control adjustment amount of the electric vehicle V2G unit and the three-phase power generation three-phase balance adjustment amount.

[0177] This step leverages the charging and discharging flexibility of the electric vehicle's V2G unit to correct three-phase imbalance by transferring power between different phases, as detailed below:

[0178] First, calculate the three-phase power deviation.

[0179] Calculate the average three-phase power, i.e.: ;

[0180] Calculate the power deviation of each phase from the average value, i.e.:

[0181] ;

[0182] Search This phase is a heavily loaded phase, and the total power of this phase needs to be reduced; find... This phase is a lightly loaded phase, and the total power of this phase needs to be increased.

[0183] Next, the power to be transferred is determined.

[0184] To avoid over-adjustment, the total power to be transferred is determined based on the two phases that require the most adjustment (i.e., the heavily loaded phase and the lightly loaded phase), using the smaller absolute value of the deviation between the two phases as a benchmark.

[0185] .

[0186] Then, the remaining adjustable capacity of the electric vehicle V2G unit is calculated.

[0187] Heavy-load phases need to increase power injection into the grid, while light-load phases need to increase power absorption from the grid, taking into account the fluctuation smoothing tasks already undertaken by the electric vehicle V2G units. The remaining adjustable capacity needs to be reduced by this part.

[0188] For the V2G unit of the electric vehicle in the heavy-load phase, if the V2G unit of the electric vehicle discharges during the fluctuation smoothing task, its remaining capacity available for discharge is:

[0189] ;

[0190] If the electric vehicle V2G unit is charging during a fluctuation smoothing task, its remaining capacity available for discharging is:

[0191] ;

[0192] For an electric vehicle V2G unit in a lightly loaded phase, if the electric vehicle V2G unit discharges during a fluctuation smoothing task, its remaining capacity available for charging is:

[0193] ;

[0194] If the V2G unit of the electric vehicle is charging during the fluctuation smoothing task, its remaining capacity available for charging is:

[0195] .

[0196] Finally, based on the remaining capacity allocation balancing adjustment instruction

[0197] The V2G unit of the electric vehicle in the heavily loaded phase increases discharge to reduce the power of that phase, that is:

[0198] ;

[0199] In the lightly loaded phase, the electric vehicle V2G unit increases charging to improve the phase power, i.e.:

[0200] ;

[0201] The electric vehicle V2G unit in the third phase does not participate in this balance adjustment, that is:

[0202] .

[0203] Step 5: Calculate the total control adjustment of the electric vehicle V2G unit based on the fluctuation smoothing control adjustment amount of the electric vehicle V2G unit and the three-phase balance adjustment amount.

[0204] Each electric vehicle V2G unit simultaneously undertakes fluctuation suppression and three-phase balance The two tasks need to be merged into a single executable command, as follows:

[0205] Extract the IMF component smoothed by the demand network and calculate its standard deviation. This reflects the overall fluctuation of the deviation component, that is: Further linear normalization can be performed to adjust the standard deviation. Mapped to The interval, i.e.: .

[0206] Calculate power deviation imbalance This directly reflects the degree of imbalance in three-phase power, that is: Further linear normalization can be performed to reduce the power imbalance. Mapped to The interval, i.e.: .

[0207] To prevent a single objective from dominating the overall picture, and since fluctuation issues typically have a more direct impact on grid security, fluctuation mitigation takes priority when both are of equal urgency. Therefore, the following weighted normalization formula is used to calculate the adjustment weights. :

[0208]

[0209] in, The balancing adjustment weight discount factor is greater than 0 and less than 0.5.

[0210] For the One electric vehicle V2G unit (access phase) Its final control command is a linear weighted sum of the fluctuation suppression component and the three-phase balance component, that is:

[0211] ;

[0212] This design makes the normalized standard deviation Significantly greater than the normalized imbalance At that time, the adjustment weight V2G power is almost entirely used for fluctuation suppression. When the normalized imbalance... Significantly greater than the normalized standard deviation At that time, the adjustment weight V2G power is almost entirely used for three-phase balancing. When the normalized standard deviation... Equal to normalized imbalance At that time, 0.5 < <1, still giving higher weight to volatility smoothing.

[0213] Step 6: The total control adjustment of the electric vehicle V2G unit, the fluctuation suppression control adjustment of the photovoltaic inverter, and the fluctuation suppression control adjustment of the energy storage unit are used to control the electric vehicle V2G unit, the photovoltaic inverter, and the energy storage unit, respectively.

[0214] In this step, the verified final instruction set is distributed to the local controllers of each photovoltaic inverter, energy storage unit, and electric vehicle V2G unit via a reliable communication network for execution. The system performs rolling optimization at a fixed cycle. At the end of each control cycle, the next cycle is immediately started, and the complete process described above is repeated. The new cycle will be based on the latest system measurement data, and will re-perform signal decomposition, fluctuation source tracing, decision-making, and instruction generation.

[0215] This closed-loop rolling optimization mechanism of perception-decision-execution-feedback endows the method described in this invention with strong adaptability and robustness. The system can dynamically track and adapt to random fluctuations in photovoltaic output within the distribution substation, time-varying characteristics of user loads, random grid connection and disconnection of electric vehicles, and continuous changes in state of charge. This enables the endogenous synergistic optimization of the two major objectives of precise power fluctuation mitigation and three-phase dynamic balance within the distribution substation, ultimately significantly improving the operational stability of the distribution substation.

[0216] It is easy to see that this invention, through fluctuation residual decomposition and source tracing, combined with the three-phase average distribution principle, accurately matches adjustable resources with control requirements, avoiding the introduction of new three-phase imbalances when smoothing fluctuations. This invention fully leverages the flexible control advantages of V2G units, integrates fluctuation smoothing and three-phase balance adjustment to generate a total control command, and achieves optimal allocation of resource adjustment capabilities. This invention breaks through the limitations of traditional single-target control, simultaneously achieving power fluctuation suppression and three-phase dynamic balance in the distribution area, significantly improving the stability and reliability of the distribution area operation.

[0217] The second embodiment of the present invention relates to an adjustable resource control device that balances power fluctuation suppression and three-phase dynamic balance, comprising:

[0218] The data acquisition module is used to collect the total load power of users on the distribution substation bus, the actual output of photovoltaic power, electric vehicle load, total charging and discharging power of energy storage system, and three-phase power;

[0219] The fusion component calculation and determination module is used to calculate the fluctuation residual based on the total user load power, actual photovoltaic output, electric vehicle load, and total charging and discharging power of the energy storage system, and to decompose the fluctuation residual to obtain fusion components and determine the source of each fusion component;

[0220] The fluctuation smoothing control adjustment quantity calculation module is used to calculate the fluctuation smoothing control adjustment quantity of each fused component based on the principle of three-phase average distribution, so as to obtain the fluctuation smoothing control adjustment quantity of electric vehicle V2G unit, photovoltaic inverter and energy storage unit.

[0221] The three-phase balance adjustment quantity generation module is used to generate a three-phase balance adjustment quantity based on the fluctuation smoothing control adjustment quantity of the electric vehicle V2G unit and the three-phase power.

[0222] The total control adjustment calculation module for the electric vehicle V2G unit is used to calculate the total control adjustment of the electric vehicle V2G unit based on the fluctuation suppression control adjustment and the three-phase balance adjustment.

[0223] The control module is used to control the electric vehicle V2G unit, the photovoltaic inverter, and the energy storage unit respectively using the total control adjustment amount of the electric vehicle V2G unit, the fluctuation smoothing control adjustment amount of the photovoltaic inverter, and the fluctuation smoothing control adjustment amount of the energy storage unit.

[0224] The fusion component calculation and determination module includes:

[0225] The fluctuation residual calculation unit is used to calculate the net load of the distribution station area based on the total user load power, actual photovoltaic output, electric vehicle load, and total charging and discharging power of the energy storage system, and to subtract the target net power from the net load to obtain the fluctuation residual.

[0226] The first decomposition unit is used to decompose the fluctuation residual into a set of first mode components using the ICEEMDAN algorithm.

[0227] The second decomposition unit is used to decompose the fluctuation residual into a signal using the VMD decomposition algorithm to obtain a set of second mode components.

[0228] The fusion unit is used to fuse the first modal component and the second modal component through an attention fusion gating mechanism to obtain a set of fused modal components;

[0229] The source determination unit is used to calculate the similarity index between each fusion mode component and the actual output of photovoltaic, electric vehicle load, and total charging and discharging power of energy storage system, and to determine the source of each fusion mode component based on the similarity index.

[0230] The source determination unit adopts Calculate the similarity index, where, To fuse modal components With adjustable resources Similarity index, , Indicates photovoltaics, Indicates electric vehicle, Indicates energy storage system, To fuse modal components With adjustable resources The Pearson correlation coefficient between them To fuse modal components With adjustable resources The dynamic time-normalized distance between them Let be the normalization constant for the Pearson correlation coefficient. Let be the normalization constant for the dynamic time-warped distance. These are the weighting coefficients.

[0231] The fluctuation smoothing control adjustment amount calculation module includes:

[0232] The single-phase regulation power calculation unit is used to calculate the total power that needs to be regulated for each fusion component and distribute it evenly to the three phases to obtain the regulation power that each phase needs to bear.

[0233] The fluctuation smoothing control adjustment unit is used to calculate the fluctuation smoothing control adjustment amount of the electric vehicle V2G unit, the fluctuation smoothing control adjustment amount of the photovoltaic inverter, and the fluctuation smoothing control adjustment amount of the energy storage unit based on the adjustment power required by each phase and the adjustable capacity of the adjustable resources.

[0234] The suppression control adjustment calculation unit includes:

[0235] The first calculation subunit is used to, when the adjustable resource is photovoltaic, if The photovoltaic inverter needs to handle a regulation power greater than zero. The phase easing control adjustment amount is: ;like The required regulation power of the photovoltaic inverter is less than zero. The phase easing control adjustment amount is: ;in, For photovoltaic inverters Phase sedation control adjustment amount, for The required adjustment power For the adjustable capacity of photovoltaic inverters, for The collection of all adjustable photovoltaic inverters;

[0236] The second calculation subunit is used when the adjustable resource is an electric vehicle, if... The required regulation power of the electric vehicle V2G unit is greater than zero. The phase easing control adjustment amount is: ;like The required regulation power of the electric vehicle V2G unit is less than zero. The phase easing control adjustment amount is: ;in, For electric vehicle V2G unit pair Phase sedation control adjustment amount, Adjustable capacity for V2G units in electric vehicles. for The collection of all adjustable electric vehicle V2G units;

[0237] The third calculation subunit is used when the adjustable resource is an energy storage system, if... The required regulation power of the energy storage unit is greater than zero. The phase easing control adjustment amount is: ;like The required regulation power of the energy storage unit is less than zero. The phase easing control adjustment amount is: ;in, For energy storage units Phase sedation control adjustment amount, For the adjustable capacity of the energy storage unit, for A collection of all adjustable energy storage units.

[0238] The three-phase balance adjustment generation module includes:

[0239] The identification unit is used to calculate the deviation between the power of each phase and the average power of the three phases based on the three-phase power, and to identify the heavily loaded phase and the lightly loaded phase based on the deviation.

[0240] The power to be transferred determination unit is used to determine the power to be transferred based on the smaller absolute value of the deviation between the heavy-load phase and the light-load phase.

[0241] The remaining adjustable capacity calculation unit is used to calculate the remaining adjustable capacity of the electric vehicle V2G unit in the heavy load phase and the electric vehicle V2G unit in the light load phase according to the fluctuation smoothing control adjustment amount of the electric vehicle V2G unit.

[0242] The three-phase balance adjustment calculation unit is used to obtain the three-phase balance adjustment based on the remaining adjustable capacity.

[0243] The three-phase balance adjustment calculation unit includes:

[0244] The heavy-load phase calculation unit is used to calculate the heavy-load phase using... Calculate the adjustment amount of the V2G unit of the electric vehicle;

[0245] The light-load phase calculation unit is used to perform calculations on the light-load phase. Calculate the adjustment amount of the V2G unit of the electric vehicle;

[0246] The third phase calculation unit is used to set the adjustment amount of the electric vehicle V2G unit to zero for the third phase.

[0247] in, The adjustment amount for the V2G unit of the electric vehicle. The power to be transferred, The remaining capacity available for discharge by the V2G unit in the electric vehicle. The remaining capacity available for charging of V2G units in electric vehicles. This is the collection of all adjustable electric vehicle V2G units on the heavy-load phase. It is the collection of all adjustable electric vehicle V2G units on the light load phase.

[0248] The third embodiment of the present invention relates to an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the adjustable resource control method of the first embodiment that balances power fluctuation suppression and three-phase dynamic balance.

[0249] The fourth embodiment of the present invention relates to a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the adjustable resource control method of the first embodiment that balances power fluctuation suppression and three-phase dynamic balance.

[0250] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product implemented on one or more computer-usable storage media (including, but not limited to, disk storage and optical storage) containing computer-usable program code.

[0251] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0252] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to operate in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction methods implemented in a process. Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0253] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0254] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. An adjustable resource control method that balances power fluctuation suppression and three-phase dynamic balance, characterized in that, Includes the following steps: Collect the total load power of users on the distribution substation bus, the actual output of photovoltaic power, electric vehicle load, total charging and discharging power of energy storage system, and three-phase power; The fluctuation residual is calculated based on the total user load power, actual photovoltaic output, electric vehicle load, and total charging and discharging power of the energy storage system. The fluctuation residual is then decomposed to obtain fused components, and the source of each fused component is determined. Using the principle of three-phase average distribution, the fluctuation smoothing control adjustment amount of each fusion component is calculated for its source, and the fluctuation smoothing control adjustment amount of electric vehicle V2G unit, photovoltaic inverter and energy storage unit are obtained. Based on the fluctuation smoothing control adjustment amount of the electric vehicle V2G unit and the three-phase power generation three-phase balance adjustment amount; The total control adjustment of the electric vehicle V2G unit is calculated based on the fluctuation suppression control adjustment amount of the electric vehicle V2G unit and the three-phase balance adjustment amount; The total control adjustment of the electric vehicle V2G unit, the fluctuation suppression control adjustment of the photovoltaic inverter, and the fluctuation suppression control adjustment of the energy storage unit are used to control the electric vehicle V2G unit, the photovoltaic inverter, and the energy storage unit, respectively.

2. The adjustable resource control method that balances power fluctuation suppression and three-phase dynamic balance according to claim 1, characterized in that, The process involves calculating the fluctuation residual based on the total user load power, actual photovoltaic output, electric vehicle load, and total charging and discharging power of the energy storage system, then decomposing the fluctuation residual into fused components, and determining the source of each fused component. Specifically, this includes: The net load of the distribution station area is calculated based on the total user load power, actual photovoltaic output, electric vehicle load, and total charging and discharging power of the energy storage system. The net load is then subtracted from the target net power to obtain the fluctuation residual. The ICEEMDAN algorithm is used to decompose the fluctuation residual into a set of first mode components; The VMD decomposition algorithm is used to decompose the fluctuation residual into a set of second mode components; The first and second modal components are fused using an attention fusion gating mechanism to obtain a set of fused modal components; For each fused mode component, calculate its similarity index with the actual output of photovoltaics, electric vehicle load, and total charging and discharging power of energy storage system, and determine the source of each fused mode component based on the similarity index.

3. The adjustable resource control method that balances power fluctuation suppression and three-phase dynamic balance according to claim 2, characterized in that, The similarity index is calculated as follows: ,in, To fuse modal components With adjustable resources Similarity index, , Indicates photovoltaics, Indicates electric vehicle, Indicates energy storage system, To fuse modal components With adjustable resources The Pearson correlation coefficient between them To fuse modal components With adjustable resources The dynamic time-normalized distance between them Let be the normalization constant for the Pearson correlation coefficient. Let be the normalization constant for the dynamic time-warped distance. These are the weighting coefficients.

4. The adjustable resource control method that balances power fluctuation suppression and three-phase dynamic balance according to claim 1, characterized in that, The principle of three-phase average distribution is adopted to calculate the fluctuation smoothing control adjustment amount from which each fused component originates, thereby obtaining the fluctuation smoothing control adjustment amounts for the electric vehicle V2G unit, the photovoltaic inverter, and the energy storage unit, specifically including: Calculate the total power that needs to be regulated for each fusion component and distribute it evenly across the three phases to obtain the regulation power that each phase needs to bear; The fluctuation suppression control adjustment amounts for the electric vehicle V2G unit, the photovoltaic inverter, and the energy storage unit are calculated based on the adjustment power required for each phase and the adjustable capacity of the adjustable resources.

5. The adjustable resource control method that balances power fluctuation suppression and three-phase dynamic balance according to claim 4, characterized in that, The calculation of the fluctuation smoothing control adjustment amounts for the electric vehicle V2G unit, the photovoltaic inverter, and the energy storage unit based on the adjustment power required for each phase and the adjustable capacity of the adjustable resources specifically includes: When the adjustable resource is photovoltaic, if The photovoltaic inverter needs to handle a regulation power greater than zero. The phase easing control adjustment amount is: ;like The required regulation power of the photovoltaic inverter is less than zero. The phase easing control adjustment amount is: ;in, For photovoltaic inverters Phase sedation control adjustment amount, for The required adjustment power For the adjustable capacity of photovoltaic inverters, for The collection of all adjustable photovoltaic inverters; When the adjustable resources are electric vehicles, if The required regulation power of the electric vehicle V2G unit is greater than zero. The phase easing control adjustment amount is: ;like The required regulation power of the electric vehicle V2G unit is less than zero. The phase easing control adjustment amount is: ;in, For electric vehicle V2G unit pair Phase sedation control adjustment amount, Adjustable capacity for V2G units in electric vehicles. for The collection of all adjustable electric vehicle V2G units; When the adjustable resource is an energy storage system, if The required regulation power of the energy storage unit is greater than zero. The phase easing control adjustment amount is: ;like The required regulation power of the energy storage unit is less than zero. The phase easing control adjustment amount is: ;in, For energy storage units Phase sedation control adjustment amount, For the adjustable capacity of the energy storage unit, for A collection of all adjustable energy storage units.

6. The adjustable resource control method that balances power fluctuation suppression and three-phase dynamic balance according to claim 1, characterized in that, The adjustment amount based on the fluctuation suppression control of the electric vehicle V2G unit and the three-phase balance adjustment amount of the three-phase power generation specifically includes: The deviation between the power of each phase and the average power of the three phases is calculated based on the three-phase power, and the heavily loaded phase and the lightly loaded phase are identified based on the deviation. The power to be transferred is determined based on the smaller absolute value of the deviation between the heavily loaded phase and the lightly loaded phase. The remaining adjustable capacity is calculated for the electric vehicle V2G unit in the heavy-load phase and the electric vehicle V2G unit in the light-load phase based on the fluctuation smoothing control adjustment amount of the electric vehicle V2G unit. The three-phase balance adjustment amount is obtained based on the remaining adjustable capacity.

7. The adjustable resource control method that balances power fluctuation suppression and three-phase dynamic balance according to claim 6, characterized in that, The process of obtaining the three-phase balance adjustment amount based on the remaining adjustable capacity is as follows: For the heavy-load phase, the adjustment amount of the electric vehicle V2G unit is: ; For the light-load phase, the adjustment amount of the electric vehicle V2G unit is: ; For the third phase, the adjustment amount of the electric vehicle V2G unit is zero; in, The adjustment amount for the V2G unit of the electric vehicle. The power to be transferred, The remaining capacity available for discharge by the V2G unit in the electric vehicle. The remaining capacity available for charging of V2G units in electric vehicles. It is the collection of all adjustable electric vehicle V2G units on the heavy-load phase. It is the collection of all adjustable electric vehicle V2G units on the light load phase.

8. The adjustable resource control method that balances power fluctuation suppression and three-phase dynamic balance according to claim 1, characterized in that, The calculation of the total control adjustment of the electric vehicle V2G unit based on the fluctuation suppression control adjustment and the three-phase balance adjustment specifically includes: Extract the fusion component that needs to be smoothed for electric vehicles, calculate its standard deviation, and then perform linear normalization on the obtained standard deviation to obtain the normalized standard deviation. ; The deviation between the power of each phase and the average power of the three phases is calculated based on the three-phase power, and the imbalance degree of the deviation is calculated. The obtained imbalance degree is then linearly normalized to obtain the normalized imbalance degree. ; use Calculate the adjustment weights; where, To adjust the weight of the quantity, To balance the adjustment of the weight discount coefficient; The total control adjustment of the electric vehicle V2G unit is obtained by weighting and summing the fluctuation suppression control adjustment and the three-phase balance adjustment using the aforementioned adjustment weights.

9. An adjustable resource control device that balances power fluctuation suppression and three-phase dynamic balance, characterized in that, include: The data acquisition module is used to collect the total load power of users on the distribution substation bus, the actual output of photovoltaic power, electric vehicle load, total charging and discharging power of energy storage system, and three-phase power; The fusion component calculation and determination module is used to calculate the fluctuation residual based on the total user load power, actual photovoltaic output, electric vehicle load, and total charging and discharging power of the energy storage system, and to decompose the fluctuation residual to obtain fusion components and determine the source of each fusion component; The fluctuation smoothing control adjustment quantity calculation module is used to calculate the fluctuation smoothing control adjustment quantity of each fused component based on the principle of three-phase average distribution, so as to obtain the fluctuation smoothing control adjustment quantity of electric vehicle V2G unit, photovoltaic inverter and energy storage unit. The three-phase balance adjustment quantity generation module is used to generate a three-phase balance adjustment quantity based on the fluctuation smoothing control adjustment quantity of the electric vehicle V2G unit and the three-phase power. The total control adjustment calculation module for the electric vehicle V2G unit is used to calculate the total control adjustment of the electric vehicle V2G unit based on the fluctuation suppression control adjustment and the three-phase balance adjustment. The control module is used to control the electric vehicle V2G unit, the photovoltaic inverter, and the energy storage unit respectively using the total control adjustment amount of the electric vehicle V2G unit, the fluctuation smoothing control adjustment amount of the photovoltaic inverter, and the fluctuation smoothing control adjustment amount of the energy storage unit.

10. The adjustable resource control device that combines power fluctuation suppression and three-phase dynamic balance according to claim 9, characterized in that, The fusion component calculation and determination module includes: The fluctuation residual calculation unit is used to calculate the net load of the distribution station area based on the total user load power, actual photovoltaic output, electric vehicle load, and total charging and discharging power of the energy storage system, and to subtract the target net power from the net load to obtain the fluctuation residual. The first decomposition unit is used to decompose the fluctuation residual into a set of first mode components using the ICEEMDAN algorithm. The second decomposition unit is used to decompose the fluctuation residual into a signal using the VMD decomposition algorithm to obtain a set of second mode components. The fusion unit is used to fuse the first modal component and the second modal component through an attention fusion gating mechanism to obtain a set of fused modal components; The source determination unit is used to calculate the similarity index between each fusion mode component and the actual output of photovoltaic, electric vehicle load, and total charging and discharging power of energy storage system, and to determine the source of each fusion mode component based on the similarity index.

11. The adjustable resource control device that combines power fluctuation suppression and three-phase dynamic balance according to claim 10, characterized in that, The source determination unit adopts Calculate the similarity index, where, To fuse modal components With adjustable resources Similarity index, , Indicates photovoltaics, Indicates electric vehicle, Indicates energy storage system, To fuse modal components With adjustable resources The Pearson correlation coefficient between them To fuse modal components With adjustable resources The dynamic time-normalized distance between them Let be the normalization constant for the Pearson correlation coefficient. Let be the normalization constant for the dynamic time-warped distance. These are the weighting coefficients.

12. The adjustable resource control device that combines power fluctuation suppression and three-phase dynamic balance according to claim 9, characterized in that, The fluctuation smoothing control adjustment amount calculation module includes: The single-phase regulation power calculation unit is used to calculate the total power that needs to be regulated for each fusion component and distribute it evenly to the three phases to obtain the regulation power that each phase needs to bear. The fluctuation smoothing control adjustment unit is used to calculate the fluctuation smoothing control adjustment amount of the electric vehicle V2G unit, the fluctuation smoothing control adjustment amount of the photovoltaic inverter, and the fluctuation smoothing control adjustment amount of the energy storage unit based on the adjustment power required by each phase and the adjustable capacity of the adjustable resources.

13. The adjustable resource control device that combines power fluctuation suppression and three-phase dynamic balance according to claim 12, characterized in that, The suppression control adjustment calculation unit includes: The first calculation subunit is used to, when the adjustable resource is photovoltaic, if The photovoltaic inverter needs to handle a regulation power greater than zero. The phase easing control adjustment amount is: ;like The required regulation power of the photovoltaic inverter is less than zero. The phase easing control adjustment amount is: ;in, For photovoltaic inverters Phase sedation control adjustment amount, for The required adjustment power For the adjustable capacity of photovoltaic inverters, for The collection of all adjustable photovoltaic inverters; The second calculation subunit is used when the adjustable resource is an electric vehicle, if... The required regulation power of the electric vehicle V2G unit is greater than zero. The phase easing control adjustment amount is: ;like The required regulation power of the electric vehicle V2G unit is less than zero. The phase easing control adjustment amount is: ;in, For electric vehicle V2G unit pair Phase sedation control adjustment amount, Adjustable capacity for V2G units in electric vehicles. for The collection of all adjustable electric vehicle V2G units; The third calculation subunit is used when the adjustable resource is an energy storage system, if... The required regulation power of the energy storage unit is greater than zero. The phase easing control adjustment amount is: ;like The required regulation power of the energy storage unit is less than zero. The phase easing control adjustment amount is: ;in, For energy storage units Phase sedation control adjustment amount, For the adjustable capacity of the energy storage unit, for A collection of all adjustable energy storage units.

14. The adjustable resource control device that combines power fluctuation suppression and three-phase dynamic balance according to claim 9, characterized in that, The three-phase balance adjustment generation module includes: The identification unit is used to calculate the deviation between the power of each phase and the average power of the three phases based on the three-phase power, and to identify the heavily loaded phase and the lightly loaded phase based on the deviation. The power to be transferred determination unit is used to determine the power to be transferred based on the smaller absolute value of the deviation between the heavy-load phase and the light-load phase. The remaining adjustable capacity calculation unit is used to calculate the remaining adjustable capacity of the electric vehicle V2G unit in the heavy load phase and the electric vehicle V2G unit in the light load phase according to the fluctuation smoothing control adjustment amount of the electric vehicle V2G unit. The three-phase balance adjustment calculation unit is used to obtain the three-phase balance adjustment based on the remaining adjustable capacity.

15. The adjustable resource control device that combines power fluctuation suppression and three-phase dynamic balance according to claim 14, characterized in that, The three-phase balance adjustment calculation unit includes: The heavy-load phase calculation unit is used to calculate the heavy-load phase using... Calculate the adjustment amount of the V2G unit of the electric vehicle; The light-load phase calculation unit is used to perform calculations on the light-load phase. Calculate the adjustment amount of the V2G unit of the electric vehicle; The third phase calculation unit is used to set the adjustment amount of the electric vehicle V2G unit to zero for the third phase. in, The adjustment amount for the V2G unit of the electric vehicle. The power to be transferred, The remaining capacity available for discharge by the V2G unit in the electric vehicle. The remaining capacity available for charging of V2G units in electric vehicles. It is the collection of all adjustable electric vehicle V2G units on the heavy-load phase. It is the collection of all adjustable electric vehicle V2G units on the light load phase.

16. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the adjustable resource control method that combines power fluctuation suppression and three-phase dynamic balance as described in any of claims 1-8.

17. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the adjustable resource control method that combines power fluctuation suppression and three-phase dynamic balance as described in any of claims 1-8.

Images