Method and system for subsidy traceability of low-voltage distributed photovoltaic transformer area

Abstract

The invention discloses a subsidy traceability method and system for a low-voltage distributed photovoltaic area. The method comprises the following steps: acquiring actual power and actual voltage of all photovoltaic nodes of the low-voltage distributed photovoltaic area; for any photovoltaic node i, calculating a theoretical out-of-limit voltage TVSi based on the actual power and the actual voltage; determining a decision subject set I based on all the photovoltaic nodes, and calculating alliance total abandoned light of all participants in a subset S of the decision subject set I based on the theoretical out-of-limit voltages until the theoretical out-of-limit voltages of all the photovoltaic nodes in the decision subject set I are smaller than or equal to 0; and calculating a Sharpley value of each photovoltaic node i based on the alliance total abandoned light of all participants in the subset S, calculating subsidy cost based on the Sharpley values, and performing subsidy traceability. According to the invention, accurate subsidy traceability is carried out based on the actual photovoltaic power generation amount and the light abandoning data, so that subsidy funds can be reasonably distributed to the power generation unit with higher responsibility and higher contribution.

Description

Technical Field

[0001] The present invention relates to the technical field of accurate subsidy traceability for low-voltage distributed photovoltaic substations, and more specifically, to a subsidy traceability method and system for low-voltage distributed photovoltaic substations. Background Art

[0002] In recent years, the installation and application of low-voltage distributed photovoltaics in China have shown explosive growth. According to statistics, the installed capacity of distributed photovoltaics in China has reached dozens of gigawatts, and with the support of policies and the progress of technology, the installed capacity of low-voltage distributed photovoltaics is expected to continue to grow. This development trend has continuously increased the proportion of photovoltaic power generation in the energy structure, and at the same time has put forward higher requirements for the dispatching and operation of the power grid. However, with the rapid increase in the access volume of distributed photovoltaics, new problems faced by the power grid operation have gradually emerged, and the most prominent one is the frequent occurrence of voltage over-limit phenomena. Voltage over-limit means that the voltage level exceeds the set safety range. Excessive voltage may damage user equipment, while too low voltage may cause the equipment to malfunction. To prevent these risks, the system will automatically adjust or limit the output of photovoltaic power generation, resulting in curtailment of light. The access of distributed photovoltaics has changed the traditional unidirectional power flow mode of the distribution network, which may cause reverse power flow, leading to an increase in the voltage at the connection point and even over-limit. The intermittency and volatility of photovoltaic power generation, especially during the peak power generation at noon, may also cause the voltage at the end of the substation area to exceed the limit. In addition, too high installed capacity of photovoltaic power generation systems on the same line may also cause the voltage of the distribution transformer substation area to exceed the limit. This phenomenon not only has a significant impact on the power quality of the local power grid, but also may threaten the safe operation of user equipment and even pose potential risks to the overall stability of the power grid. However, existing research mainly focuses on improving the control efficiency, and the research on the overall cost sharing of distributed photovoltaic control subsidies is still relatively less. When the voltage exceeds the limit, when regulating the photovoltaic nodes with over-limit, the voltage of other photovoltaic nodes usually also changes accordingly. The voltage over-limit is caused by regional photovoltaics together, but in fact, in order to minimize the total curtailment of light, usually only the distributed photovoltaics that have the greatest impact on the over-limit voltage are regulated, ignoring fairness for the sake of power generation efficiency. But if all the photovoltaics in the low-voltage substation area refuse to form an alliance and refuse grid control, then the voltage rise in the substation area will trigger the forced off-grid conditions of the power grid, resulting in greater economic losses for distributed photovoltaic users; if only fairness is emphasized and the measure of rotating control is adopted, the comprehensive losses faced by distributed photovoltaic users are also relatively high.

[0003] Therefore, in view of the above problems, a method for accurate subsidy traceability of low-voltage distributed photovoltaic substations based on the Shapley value method is needed. Summary of the Invention

[0004] The present invention provides a method and system for subsidy traceability in a low-voltage distributed photovoltaic substation area to solve the problem of how to accurately trace the subsidies for the low-voltage distributed photovoltaic substation area.

[0005] To solve the above problems, according to one aspect of the present invention, a method for subsidy traceability in a low-voltage distributed photovoltaic substation area is provided. The method includes:

[0006] Obtain the actual power and actual voltage of all photovoltaic nodes in the low-voltage distributed photovoltaic substation area;

[0007] For any photovoltaic node i, calculate the theoretical over-limit voltage TVS based on the actual power and actual voltage i ;

[0008] Determine the decision-making subject set I based on all photovoltaic nodes, and calculate the total curtailment of light for all participants in the subset S of the decision-making subject set I based on the theoretical over-limit voltage until the theoretical over-limit voltages of all photovoltaic nodes in the decision-making subject set I are less than or equal to 0;

[0009] Calculate the Shapley value of each photovoltaic node i based on the total curtailment of light for all participants in the subset S, and calculate the subsidy cost based on the Shapley value to perform subsidy traceability.

[0010] Preferably, for any photovoltaic node i, calculating the theoretical over-limit voltage TVS based on the actual power and actual voltage i , includes:

[0011] TSV i =AV i +TUV - AV, i = 1, 2,..., n,

[0012]

[0013] where, TSV i is the theoretical over-limit voltage of photovoltaic node i; AV is the preset voltage threshold; AV i is the actual voltage of photovoltaic node i; n is the number of photovoltaic nodes; l ij is the electrical position of distributed photovoltaic power generation point i relative to the grid preset reference point j; AP j is the actual power of reference node j.

[0014] Preferably, the step of determining the decision-making subject set I based on all photovoltaic nodes and calculating the total curtailment of light for all participants in the subset S of the decision-making subject set I based on the theoretical over-limit voltage until the theoretical over-limit voltages of all photovoltaic nodes in the decision-making subject set I are less than or equal to 0 includes:

[0015] For There are |S| participants in S. To achieve fast minimum curtailment, the responsibility ratio is calculated starting from the one with the maximum theoretical overvoltage limit, and maxTSV is taken. i , where i ∈ I, denoted as

[0016] Let ......

[0018]

[0019] Judge and for their magnitude relationship;

[0020] Among them, if then determine the corresponding PV node, that is, the PV node with the longest lever arm from the regulated PV, which can fully bear the responsibility of the regulation of the i1-th PV node. At this time the overvoltage values of the remaining PV nodes in for which the responsibility attribution has not been determined are i `, where i ∈ I - {i1}, denoted as TSV i2 , and repeat the above operations until the theoretical overvoltage of all PV nodes is less than or equal to 0, that is, the responsibilities borne by the PV nodes in S are fully allocated;

[0021] If then determine the corresponding PV node only needs to discard part of its power generation to fully bear the responsibility of the regulation of the i1-th PV node, and calculate c is the proportion to be discarded for the j1-th PV node to fully bear the responsibility of the regulation of the i1-th PV node, the overvoltage values of the remaining PV nodes in I for which the responsibility attribution has not been determined are Similarly, take maxTSV i `, where i ∈ I - {i1}, denoted as Repeat the above operations until the theoretical overvoltage of all PV nodes in I is less than or equal to 0;

[0022] If then determine the corresponding PV node cannot fully bear the responsibility of the regulation of the i1-th PV node even if it generates all its power. Then, select the PV node with the longest lever arm from the remaining PV nodes in S to compensate the regulated PV first. At this time the overvoltage values of the remaining PV nodes in I for which the responsibility attribution has not been determined are Then judge and Magnitude relationship;

[0023] If all the PV nodes in S together cannot fully bear the curtailment responsibility of the i1-th PV node being regulated, then And take maxTSV i `, where i ∈ I - {i1}, denoted as TSV i2 , repeat the above operations until the theoretical over-limit voltages of all PV nodes in I are less than or equal to 0.

[0024] Preferably, calculating the Shapley value of each PV node i based on the total curtailment of the coalition of all participants in the subset S includes:

[0025]

[0026] Where φ i (v) is the Shapley value of PV node i, which is the curtailment responsibility borne by PV node i in the cooperative game of n decision-making entities; |S| is the number of participants in subset S, v(S) represents the expression of the characteristic function of the coalition, that is, the total curtailment of the coalition; v(S - {i}) represents the total curtailment after removing i from subset S, and W(|S|) is the weighting factor.

[0027] According to another aspect of the present invention, a subsidy traceability system for a low-voltage distributed PV substation area is provided, and the system includes:

[0028] A data acquisition unit for acquiring the actual power and actual voltage of all PV nodes in the low-voltage distributed PV substation area;

[0029] A theoretical over-limit voltage calculation unit for calculating the theoretical over-limit voltage TVS for any PV node i based on the actual power and actual voltage i ;

[0030] A total curtailment calculation unit for determining the decision-making entity set I based on all PV nodes, and calculating the total curtailment of the coalition of all participants in the subset S of the decision-making entity set I based on the theoretical over-limit voltage until the theoretical over-limit voltages of all PV nodes in the decision-making entity set I are less than or equal to 0;

[0031] A traceability unit for calculating the Shapley value of each PV node i based on the total curtailment of the coalition of all participants in subset S, and calculating the subsidy cost based on the Shapley value for subsidy traceability.

[0032] Preferably, the theoretical over-limit voltage calculation unit calculates the theoretical over-limit voltage TVS for any PV node i based on the actual power and actual voltage i , including:

[0033] TSVi = AV i + TUV - AV,i = 1,2,...,n,

[0034]

[0035] wherein, TSV i is the theoretical over - limit voltage of photovoltaic node i; AV is the preset voltage threshold; AV i is the actual voltage of photovoltaic node i; n is the number of photovoltaic nodes; l ij is the electrical position of distributed photovoltaic power generation point i relative to the preset reference point j of the power grid; AP j is the actual power of reference node j.

[0036] Preferably, the total curtailment calculation unit of the alliance determines the decision - making subject set I based on all photovoltaic nodes, and calculates the total curtailment of all participants in the subset S of the decision - making subject set I based on the theoretical over - limit voltage until the theoretical over - limit voltages of all photovoltaic nodes in the decision - making subject set I are less than or equal to 0, including:

[0037] For There are |S| participants in S. To achieve rapid minimum curtailment, the responsibility ratio is calculated starting from the one with the largest theoretical over - limit voltage, taking maxTSV i , where i ∈ I, set as

[0038] Let ......

[0040]

[0041] Judge and the magnitude relationship;

[0042] Among them, if then determine the corresponding photovoltaic node, that is, the photovoltaic node with the longest lever arm from the regulated photovoltaic, can fully bear the responsibility of the i1 - th photovoltaic node being regulated. At this time the over - limit voltage values of the remaining photovoltaic nodes in for which the responsibility attribution has not been determined are i `, where i ∈ I - {i1}, set as Repeat the above operations until the theoretical over - limit voltages of all photovoltaic nodes are less than or equal to 0, that is, the responsibilities to be borne by the photovoltaic nodes in S are fully allocated;

[0043] If then determine The corresponding PV node only needs to discard part of its power generation to fully assume the responsibility of regulating the i1-th PV node. Calculate c is the proportion to be discarded for the j1-th PV node to fully assume the responsibility of regulating the i1-th PV node. The over-limit voltage values of the remaining PV nodes whose responsibility attribution is not determined in Also take maxTSV i `, where i ∈ I - {i1}, denoted as Repeat the above operations until the theoretical over-limit voltages of all PV nodes in I are less than or equal to 0;

[0044] If Then determine Even if all the power generation of the corresponding PV node cannot fully assume the responsibility of regulating the i1-th PV node, then select the PV node with the longest lever arm from the remaining PV nodes in S to compensate the regulated PV first. At this time The over-limit voltage values of the remaining PV nodes whose responsibility attribution is not determined in Then judge And The magnitude relationship;

[0045] If all the PV nodes in S together cannot fully assume the curtailment responsibility of regulating the i1-th PV node, then And take maxTSV i `, where i ∈ I - {i1}, denoted as Repeat the above operations until the theoretical over-limit voltages of all PV nodes in I are less than or equal to 0.

[0046] Preferably, the tracing unit calculates the Shapley value of each PV node i based on the total curtailment of the coalition of all participants in the subset S, including:

[0047]

[0048] Among them, φ i (v) is the Shapley value of PV node i, which is the curtailment responsibility borne by PV node i in the cooperative game of n decision-making entities; |S| is the number of participants in subset S, v(S) represents the expression of the characteristic function of the coalition, that is, the total curtailment of the coalition; v(S - {i}) represents the total curtailment after removing i from subset S, and W(|S|) is the weighting factor.

[0049] Based on another aspect of the present invention, the present invention provides a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, it implements the steps of any one of the subsidy tracing methods for a low-voltage distributed PV substation area.

[0050] On the other hand of the present invention, the present invention provides an electronic device, including:

[0051] The above-mentioned computer-readable storage medium; and

[0052] One or more processors for executing the program in the computer-readable storage medium.

[0053] The present invention provides a subsidy traceability method and system for a low-voltage distributed photovoltaic station area, including: obtaining the actual power and actual voltage of all photovoltaic nodes in the low-voltage distributed photovoltaic station area; for any photovoltaic node i, calculating the theoretical over-limit voltage TVS based on the actual power and actual voltage i ; determining the decision-making subject set I based on all photovoltaic nodes, and calculating the total coalition curtailment of all participants in the subset S of the decision-making subject set I based on the theoretical over-limit voltage until the theoretical over-limit voltages of all photovoltaic nodes in the decision-making subject set I are less than or equal to 0; calculating the Shapley value of each photovoltaic node i based on the total coalition curtailment of all participants in the subset S, so as to calculate the subsidy cost based on the Shapley value and perform subsidy traceability. The present invention introduces the Shapley value method in cooperative game theory, constructs a model for calculating the contribution ratio of each photovoltaic power generation unit in the curtailment responsibility, calculates the responsibility ratio of each unit in curtailment by considering the marginal contribution of different power generation units to the overall power generation, so as to realize the reasonable distribution of subsidies. In order to ensure the fairness of subsidy distribution, accurate subsidy traceability is carried out based on the actual photovoltaic power generation amount and curtailment data, so as to ensure that the subsidy funds can be reasonably distributed to the power generation units with greater responsibility and greater contribution. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] By referring to the following drawings, the exemplary embodiments of the present invention can be more completely understood:

[0055] Figure 1 It is a flowchart of the subsidy traceability method 100 for a low-voltage distributed photovoltaic station area according to an embodiment of the present invention;

[0056] Figure 2 It is a flowchart of determining the total coalition curtailment according to an embodiment of the present invention;

[0057] Figure 3 It is a topological diagram of test data according to an embodiment of the present invention;

[0058] Figure 4 It is an actual power curve graph of the A-phase photovoltaic node according to an embodiment of the present invention;

[0059] Figure 5 It is a theoretical power curve graph of the A-phase photovoltaic node according to an embodiment of the present invention;

[0060] Figure 6 Schematic diagram of the subsidy traceability system 600 for a low-voltage distributed photovoltaic substation area according to an embodiment of the present invention. Detailed implementation manners

[0061] Now, exemplary embodiments of the present invention will be described with reference to the accompanying drawings. However, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. These embodiments are provided to disclose the present invention in detail and completely, and to fully convey the scope of the present invention to those skilled in the art. The terms in the exemplary embodiments shown in the accompanying drawings are not intended to limit the present invention. In the drawings, the same unit / element is denoted by the same reference numeral.

[0062] Unless otherwise specified, the terms (including scientific and technical terms) used herein have the ordinary meaning understood by those skilled in the art. In addition, it can be understood that the terms defined in a commonly used dictionary should be understood to have a meaning consistent with the context of their related fields, and should not be understood as idealized or overly formal meanings.

[0063] The present invention proposes a precise subsidy traceability technology for a low-voltage distributed photovoltaic substation area based on a distributed power access unit, which accurately analyzes and quantifies the unit-level power generation of all photovoltaics in the substation area at the same time node during the regulation time period. In order to further reasonably allocate the responsibility for light curtailment, the present invention introduces the Shapley value method and constructs a cooperative game model for calculating the proportion of light curtailment responsibility in a low-voltage distributed photovoltaic substation area. In photovoltaic subsidy traceability, the Shapley value can accurately calculate the light curtailment responsibility and economic losses that each photovoltaic user should bear according to the impact of each photovoltaic user on the power quality. This allocation mechanism not only ensures the economic interests of photovoltaic users, but also avoids resource waste, maximally improves the utilization efficiency of photovoltaic power generation, and reduces light curtailment losses. Under the guidance of the Shapley value method, photovoltaic users are more motivated to improve their power quality, reduce grid fluctuations and harmonic interference, thereby effectively improving the overall stability of the power grid. At the same time, by fairly sharing the economic responsibility, conflicts of interest between users are avoided, and the transparency and fairness of grid regulation are enhanced. In addition, through this fair and reasonable responsibility sharing, photovoltaic users' recognition of grid operation and management also increases, further promoting users to actively participate in the collaborative management of photovoltaic power generation and grid dispatching. Generally speaking, the precise subsidy traceability technology based on the Shapley value method not only takes into account both efficiency and fairness, but also creates a win-win situation for photovoltaic users and grid operators, helps to promote the further development of distributed photovoltaic power generation, and realizes the long-term goal of green energy transformation.

[0064] Figure 1 Flowchart of the subsidy traceability method 100 for a low-voltage distributed photovoltaic substation area according to an embodiment of the present invention. As Figure 1As shown, the subsidy traceability method for low-voltage distributed photovoltaic substations provided by the embodiments of the present invention introduces the Shapley value method in cooperative game theory, constructs a model for calculating the contribution ratio of each photovoltaic power generation unit in the responsibility of light curtailment, calculates the responsibility ratio of each unit in light curtailment by considering the marginal contribution of different power generation units to the overall power generation, so as to achieve reasonable distribution of subsidies. To ensure the fairness of subsidy distribution, accurate subsidy traceability is carried out based on the actual photovoltaic power generation and light curtailment data, ensuring that the subsidy funds can be reasonably distributed to the power generation units with greater responsibility and contribution. The subsidy traceability method 100 for low-voltage distributed photovoltaic substations provided by the embodiments of the present invention starts from step 101. In step 101, the actual power and actual voltage of all photovoltaic nodes in the low-voltage distributed photovoltaic substation are obtained.

[0065] In step 102, for any photovoltaic node i, the theoretical over-limit voltage TVS is calculated based on the actual power and actual voltage i .

[0066] Preferably, for any photovoltaic node i, the theoretical over-limit voltage TVS is calculated based on the actual power and actual voltage i , including:

[0067] TSV i =AV i +TUV-AV, i = 1, 2,..., n,

[0068]

[0069] where, TSV i is the theoretical over-limit voltage of photovoltaic node i; AV is the preset voltage threshold; AV i is the actual voltage of photovoltaic node i; n is the number of photovoltaic nodes; l ij is the electrical position of distributed photovoltaic power generation point i relative to the grid preset reference point j; AP j is the actual power of reference node j.

[0070] In step 103, based on all photovoltaic nodes, the decision-making subject set I is determined, and the total light curtailment of all participants in the subset S of the decision-making subject set I is calculated based on the theoretical over-limit voltage until the theoretical over-limit voltages of all photovoltaic nodes in the decision-making subject set I are less than or equal to 0.

[0071] Preferably, where the decision-making subject set I is determined based on all photovoltaic nodes, and the total light curtailment of all participants in the subset S of the decision-making subject set I is calculated based on the theoretical over-limit voltage until the theoretical over-limit voltages of all photovoltaic nodes in the decision-making subject set I are less than or equal to 0, including:

[0072] For There are |S| participants in S. To achieve rapid minimum curtailment of light, the responsibility ratio is calculated starting from the one with the largest theoretical over-limit voltage, and maxTSV is taken. i , where i ∈ I, denoted as

[0073] Let ......

[0075]

[0076] Judge and the size relationship of;

[0077] Among them, if then determine the corresponding PV node, that is, the PV node with the longest lever arm from the regulated PV, can fully bear the responsibility of regulating the i1-th PV node. At this time the over-limit voltage values of the remaining PV nodes in for which the responsibility attribution has not been determined are i `, where i ∈ I - {i1}, denoted as Repeat the above operations until the theoretical over-limit voltages of all PV nodes are less than or equal to 0, that is, the responsibilities to be borne by the PV nodes in S are all allocated;

[0078] If then determine the corresponding PV node only needs to discard part of the power generation to fully bear the responsibility of regulating the i1-th PV node, calculate c is the proportion to be discarded for the j1-th PV node to fully bear the responsibility of regulating the i1-th PV node, the over-limit voltage values of the remaining PV nodes in Similarly, take maxTSV i `, where i ∈ I - {i1}, denoted as Repeat the above operations until the theoretical over-limit voltages of all PV nodes in I are less than or equal to 0;

[0079] If then determine the corresponding PV node cannot fully bear the responsibility of regulating the i1-th PV node even if all its power generation is used. Then, select the PV node with the longest lever arm from the remaining PV nodes in S to compensate the regulated PV first. At this time the over-limit voltage values of the remaining PV nodes in Then judge and Magnitude relationship;

[0080] If all the photovoltaic nodes in S together cannot fully assume the curtailment responsibility of the i1-th photovoltaic node being regulated, then And take maxTSV i `, where i ∈ I - {i1}, denoted as Repeat the above operations until the theoretical over-limit voltages of all photovoltaic nodes in I are less than or equal to 0.

[0081] In step 104, based on the total curtailment of all participants in subset S, calculate the Shapley value of each photovoltaic node i, calculate the subsidy cost based on the Shapley value, and conduct subsidy traceability.

[0082] Preferably, calculating the Shapley value of each photovoltaic node i based on the total curtailment of all participants in subset S includes:

[0083]

[0084] Among them, φ i (v) is the Shapley value of photovoltaic node i, which is the curtailment responsibility borne by photovoltaic node i in the cooperative game of n decision-making entities; |S| is the number of participants in subset S, v(S) represents the expression of the characteristic function of the coalition, that is, the total curtailment of the coalition; v(S - {i}) represents the total curtailment after removing i from subset S, and W(|S|) is the weighting factor.

[0085] In the present invention, the photovoltaic units in the substation area need to form a coalition, adopt the regulation strategy with the least curtailment to conduct photovoltaic regulation while ensuring power quality, and solve the curtailment responsibility according to the influence of each photovoltaic on power quality. The Shapley value is applied to the cost sharing and profit and loss distribution problems of many interest coalitions. Under the current situation, each distributed photovoltaic in the low-voltage substation area can be regarded as a coalition that has signed a binding cooperation agreement.

[0086] Use the set I to represent the set of numbers of n decision-making entities. If φ i (v(I)), i ∈ I represents the curtailment responsibility borne by photovoltaic node i in the cooperative game of decision-making entities, that is, the Shapley value of i, then the calculation formula is:

[0087]

[0088] Among them, S is a subset containing the decision-making entities participating in the coalition, |S| is the number of participants in subset S, v(S) represents the expression of the characteristic function of the coalition (that is, the total curtailment of the coalition), v(S - {i}) represents the total curtailment after removing i from subset S, and W(|S|) is the weighting factor, and the calculation formula is:

[0089]

[0090] Obviously, the key to solving the curtailment responsibility ratio of the i-th PV node is to solve the total curtailment v(S) of the coalition S.

[0091] To reflect the real scenario of reverse power flow causing the node voltage to exceed the upper limit, this paper assumes reverse power flow on the line and first ignores the power loss on the line.

[0092] The PV moment M of the entire distribution network PV is equal to the sum of the PV moments of all PV nodes, and the load moment M of the entire distribution network LD is equal to the sum of the load moments of all load nodes, that is:

[0093]

[0094] where and are the PV moment and load moment of the i-th PV node, i = 1, 2, …, n, and n is the total number of PV units. For a uniform distribution network, the resistance and reactance per unit length of each line are equal, then the PV moment and load moment are respectively the product of PV output / load magnitude and line length, similar to the concept of "moment" in mechanics, so it gets this name.

[0095] For a given distribution network, the moment difference is defined as:

[0096]

[0097] In the formula: M is the moment difference, that is, the difference between the PV moment and the load moment; m is the number of all nodes except the root node of the distribution network; H V is the voltage cumulative reference value, which changes with the PV distribution and load distribution.

[0098] After the topological structure and line parameters are determined, as the PV output gradually increases, when the highest node voltage reaches the specified voltage upper limit, the moment difference in the above section is approximately equal to a constant, which can be called the standard moment difference M0. This value is only related to the topological structure, line parameters and voltage upper limit of the distribution network, and has nothing to do with the PV distribution and load distribution, that is:

[0099]

[0100] In the formula: M PV+ , M LD and are respectively the PV moment, load moment and voltage cumulative reference value when the highest node voltage reaches the voltage upper limit; is the arithmetic mean of the voltage amplitudes of all nodes from the root node to the end of the active reverse power flow section; Δδ +is the specified upper voltage limit. For example, the upper voltage limit of a 10 kV distribution network is +7%, which is a constant.

[0101] According to the moment difference analysis theory, the problem of accommodating distributed photovoltaic power in a distribution network can be transformed into maintaining and restoring the balance of the following moment difference equation, that is:

[0102] M = M PV -M LD ≤ M0

[0103] Based on the moment difference analysis theory, a fast minimum PV curtailment decision for a distribution network with distributed photovoltaic power can be obtained. When the distributed photovoltaic power exceeds the accommodation capacity of a distribution network, appropriate PV curtailment is the most direct and economical solution. To reduce the PV moment and restore the balance of the moment difference equation, PV curtailment can start from the PV at the end of the active power reverse transmission section, because in this way, the "lever arm" of the PV moment is the longest, and the effect of reducing the PV moment per kilowatt of PV curtailment is the largest, and it also makes the total PV curtailment amount for restoring the balance of the moment difference equation the smallest.

[0104] In the power system, define the "lever arm" l of the PV moment ij as the electrical position of the distributed photovoltaic power generation point i relative to the specific reference point j of the power grid (such as the end of the power flow reverse transmission section). This position determines the relative influence of the photovoltaic power generation point in the system, that is, its influence degree on the power grid stability and power balance.

[0105] Install a distributed power access unit in the low-voltage distributed photovoltaic substation area to obtain the actual voltage and unit-level power generation of all PVs in the substation area at the same time node during the regulation period. The unit-level power generation can adopt 15-minute power generation or 30-minute power generation. Based on this, calculate the actual power and theoretical power of the PVs and list them as follows.

[0106] Table 1 Distributed power access unit obtains PV data

[0107] the i-th photovoltaic node Actual power / W Actual voltage / V Theoretical power / W 1 <![CDATA[AP1]]> <![CDATA[AV1]]> <![CDATA[TP1]]> 2 <![CDATA[AP2]]> <![CDATA[AV2]]> <![CDATA[TP2]]> … … … … n <![CDATA[AP n > <![CDATA[AV n > <![CDATA[TP n >

[0108] In reality, to overcome voltage over-limit, often one or several PVs are selected for PV curtailment. At this time, the PV curtailment may be greater than the PV curtailment amount required to overcome voltage over-limit, and other PVs are not regulated. This also means that the PV curtailment taken to overcome voltage over-limit should be jointly responsible by all PVs. Therefore, when calculating the proportion of PV curtailment responsibility, all PV nodes need to be considered.

[0109] When calculating the total PV curtailment amount, it is necessary to first calculate the voltage over-limit value without PV curtailment, that is, the theoretical unadjusted voltage (TUV), that is:

[0110]

[0111] Set the voltage threshold as AV, and then calculate the theoretical over-limit voltage (TSV) of the i-th photovoltaic as: TSV i = AV i + TUV - AV, i = 1, 2,..., n.

[0112] For each Calculating v(S) essentially adopts a regulation strategy with the least curtailment of light, and solves the curtailment responsibility based on the influence of each photovoltaic on power quality, that is, taking each photovoltaic node with TSV i > 0 as the target, and starting from the photovoltaic with a larger theoretical over-limit voltage and a longer "lever arm" to trace and compensate in order to achieve the fastest minimum curtailment of light until the responsibility attribution of the photovoltaic nodes represented by the theoretical over-limit voltage S of all photovoltaics is determined. The flowchart for calculating v(S) is as Figure 2 shown.

[0113] For There are |S| participants in S. To achieve the fastest minimum curtailment of light, calculate the proportion of responsibility starting from the one with the largest theoretical over-limit voltage, and take maxTSV i , where i ∈ I, and set it as

[0114] Since the longer the lever arm, the greater the impact on power quality and the more responsibility it bears, when calculating the proportion of responsibility, select the photovoltaic node with a longer lever arm from the regulated photovoltaic to compensate the regulated photovoltaic first.

[0115] Let ......

[0117]

[0118] First, judge and the size relationship. If it means that the corresponding photovoltaic node, that is, the photovoltaic node with the longest lever arm from the regulated photovoltaic, exactly bears the responsibility for the regulation of the i1-th photovoltaic node. At this time,

[0119] the over-limit voltage values of the remaining photovoltaic nodes in

[0120] Take maxTSV i `, where i ∈ I - {i1}, and set it as Repeat the above operation until the theoretical over-limit voltages of all photovoltaic nodes are less than or equal to 0, that is, the responsibilities borne by the photovoltaic nodes in S are all allocated completely.

[0121] If It shows that The corresponding photovoltaic node only needs to discard part of its power generation to completely bear the responsibility of the regulation of the i1-th photovoltaic node. Calculate c is the proportion to be discarded for the j1-th photovoltaic node to completely bear the responsibility of the regulation of the i1-th photovoltaic node. At this time The over-limit voltage values of the remaining photovoltaic nodes with undetermined responsibility attribution in are Similarly, take maxTSV i `, where i ∈ I - {i1}, and set it as Repeat the above operation until the theoretical over-limit voltages of all photovoltaic nodes in I are less than or equal to 0.

[0122] If It shows that Even if all the power generation of the corresponding photovoltaic node cannot completely bear the responsibility of the regulation of the i1-th photovoltaic node, then it is necessary to select the photovoltaic node with the longest lever arm from the remaining photovoltaic nodes in S to compensate the regulated photovoltaic first. At this time

[0123] The over-limit voltage values of the remaining photovoltaic nodes with undetermined responsibility attribution in are Then judge And The magnitude relationship of.

[0124] If all the participants (photovoltaic nodes) in S together cannot completely bear the power curtailment responsibility of the regulation of the i1-th photovoltaic node, then Then take maxTSV i `, where i ∈ I - {i1}, and set it as Repeat the above operation until the theoretical over-limit voltages of all photovoltaic nodes in I are less than or equal to 0.

[0125] In the present invention, after obtaining the total power curtailment of the coalition, the Shapley value of each photovoltaic node i is calculated based on the total power curtailment of all participants in the subset S, so as to calculate the subsidy cost based on the Shapley value and conduct subsidy traceability. Among them, the Shapley value is calculated using the following formula:

[0126]

[0127] Among them, φ i(v) is the Shapley value of photovoltaic node i, which represents the curtailment responsibility borne by photovoltaic node i in the cooperative game of n decision-making entities; |S| is the number of participants in subset S, v(S) represents the expression of the characteristic function of the coalition, that is, the total curtailment of the coalition; v(S-{i}) represents the total curtailment after removing i from subset S, and W(|S|) is the weighting factor.

[0128] The beneficial effects of the present invention are as follows:

[0129] 1. Fair responsibility allocation: By calculating the marginal contribution of each photovoltaic unit, this technology breaks the problem of unfair subsidies caused by simple proportional allocation in traditional technologies. The Shapley value method can fully consider the impact of photovoltaic units on the power grid under different operating conditions, making the responsibility allocation more accurate and ensuring the fairness and reasonableness of subsidy allocation.

[0130] 2. Dynamically adapt to complex grid conditions: This technology effectively addresses the complex grid operation problem of voltage over-limit. The Shapley value method has flexible adaptability and can dynamically adjust the responsibility allocation according to the changes in the scale and operating conditions of the photovoltaic system, ensuring that the subsidy allocation is still reasonable and efficient in complex grid scenarios and solving the limitations of traditional methods in dealing with complex grid conditions.

[0131] 3. Improve the utilization efficiency of photovoltaic power generation: By accurately calculating the contribution of each photovoltaic unit to the curtailment problem, this technology can optimize the operation mode of the power grid, reduce the curtailment of photovoltaic power generation, significantly improve the utilization efficiency of photovoltaic power generation, and promote the healthy and sustainable development of the photovoltaic industry.

[0132] 4. Reduce management costs and improve efficiency: This technology reduces manual judgment and intervention through a systematic and scientific calculation method, significantly reducing management costs. Compared with traditional methods, the Shapley value method reduces the errors caused by manual intervention, improves the transparency and execution efficiency of subsidy allocation, and solves the problems of complex management and high costs in existing technologies.

[0133] The following specifically illustrates the implementation manner of the present invention

[0134] (1) Selection of the substation area for introduction

[0135] The substation area selected for the experiment is a medium-sized low-voltage distributed photovoltaic access area, with a total of 46 residential users and 10 distributed photovoltaic power generation units installed, numbered as Figure 3 shown. The geographical distribution of these photovoltaic units has a certain concentration, and the installation positions are relatively scattered, covering the main load areas of this substation area. The entire experiment will verify its effectiveness in different branch and position situations through real-time monitoring of the power generation and electricity consumption of each branch line and precise subsidy traceability analysis using the Shapley value method.

[0136] (2) Select the regulation period

[0137] To verify the effectiveness of the accurate subsidy traceability technology for low - voltage distributed photovoltaic substations based on the Shapley value method, an experimental study was carried out in a real substation in this paper. The experimental design adopted flexible regulation means, covering measures such as distributed photovoltaic output regulation, load level adjustment, and dynamic control of grid voltage and frequency.

[0138] (3) Collect frequency

[0139] Here, the 15 - minute - level power generation is selected, that is, the meter energy data of the distributed power access unit is collected every 15 minutes. The power generation data between two adjacent time nodes is a 15 - minute - level power generation, so as to obtain the actual power and actual voltage of all photovoltaic nodes, as shown in Figure 4 and Figure 5 .

[0140] (4) Calculation of the proportion of curtailment responsibility

[0141] The daily Shapley value of the i - th photovoltaic node is the sum of the Shapley values of the three - phase nodes at all time points, that is

[0142]

[0143] Table 2 and Table 3 are the actual power, actual voltage, theoretical power of the A - phase node at a certain time node, and the "lever arm" between nodes respectively.

[0144] Table 2 Photovoltaic data obtained by the distributed power access unit

[0145] the i-th photovoltaic node Actual power / W Actual voltage / V Theoretical power / W 2005A 6.24 236.8360761 6.24 2006A 12.48 237.1780049 12.48 2017A 12.48 237.3531403 12.48 2018A 6.24 237.3197239 6.24 2022A 5 240.2976192 12.48 2023A 5 240.2976192 12.48 2034A 6.24 239.4804357 6.24 2035A 6.24 239.4804357 6.24 2036A 3 238.9798257 6.24 2037A 6.24 239.0361186 6.24

[0146] Table 3 Lever arm between photovoltaic nodes

[0147]

[0148]

[0149] Set the voltage threshold to 242V, and calculate v(S) and φ i . Substitute the data into the formula to obtain the Shapley value and theoretical subsidy cost of the low - voltage distributed photovoltaic nodes in one day.

[0150] Table 4 Partial v(S) of photovoltaic nodes

[0151]

[0152] Table 5 Shapley value of photovoltaic nodes and subsidy cost table

[0153]

[0154]

[0155] As can be seen from Table 5, 2022A received the most subsidies, 2023A was in the middle, and 2036A was the least, and it was a positive number, indicating that fees needed to be subsidized to these photovoltaic nodes. The other photovoltaic subsidy fees were negative numbers, indicating that these photovoltaic nodes needed to give out subsidy fees. Among them, 2006A gave out the most subsidies, and 2037A gave out the least subsidies. The Shapley value method allocation results show that among the regulated photovoltaics, those with greater regulation intensity received more subsidies. Among the unregulated photovoltaics, under the same power, the shorter the lever arm, the more benefits, so more subsidies are given; under the same lever arm, the greater the theoretical power, the more benefits, so more subsidies are given, which is also in line with the actual regulation situation.

[0156] Figure 6 It is a schematic structural diagram of a subsidy traceability system 600 for a low-voltage distributed photovoltaic substation area according to an embodiment of the present invention. As Figure 6 shown, the subsidy traceability system 600 for a low-voltage distributed photovoltaic substation area provided by the embodiment of the present invention includes: a data acquisition unit 601, a theoretical over-limit voltage calculation unit 602, a total curtailment of light in the coalition calculation unit 603, and a traceability unit 604.

[0157] Preferably, the data acquisition unit 601 is configured to acquire the actual power and actual voltage of all photovoltaic nodes in the low-voltage distributed photovoltaic substation area.

[0158] Preferably, the theoretical over-limit voltage calculation unit 602 is configured to calculate the theoretical over-limit voltage TVS for any photovoltaic node i based on the actual power and actual voltage i .

[0159] Preferably, the theoretical over-limit voltage calculation unit 602 calculates the theoretical over-limit voltage TVS for any photovoltaic node i based on the actual power and actual voltage i , including:

[0160] TSV i =AV i +TUV - AV, i = 1, 2,..., n,

[0161]

[0162] Among them, TSV i is the theoretical over-limit voltage of photovoltaic node i; AV is a preset voltage threshold; AV i is the actual voltage of photovoltaic node i; n is the number of photovoltaic nodes; l ij is the electrical position of distributed photovoltaic power generation point i relative to the grid preset reference point j; AP jis the actual power of the reference node j.

[0163] Preferably, the total curtailment calculation unit 603 of the coalition is configured to determine a decision-making subject set I based on all photovoltaic nodes, and calculate the total curtailment of all participants in a subset S of the decision-making subject set I based on the theoretical over-limit voltage until the theoretical over-limit voltages of all photovoltaic nodes in the decision-making subject set I are less than or equal to 0.

[0164] Preferably, the total curtailment calculation unit 603 of the coalition, which determines a decision-making subject set I based on all photovoltaic nodes and calculates the total curtailment of all participants in a subset S of the decision-making subject set I based on the theoretical over-limit voltage until the theoretical over-limit voltages of all photovoltaic nodes in the decision-making subject set I are less than or equal to 0, includes:

[0165] For There are |S| participants in S. To achieve the fastest minimum curtailment, calculate the responsibility ratio starting from the one with the largest theoretical over-limit voltage, and take maxTSV i , where i ∈ I, and set it as

[0166] Let ......

[0168]

[0169] Judge and the size relationship;

[0170] Among them, if then determine the corresponding photovoltaic node, that is, the photovoltaic node with the longest lever arm from the regulated photovoltaic, can fully bear the responsibility of regulating the i1-th photovoltaic node. At this time the over-limit voltage values of the remaining photovoltaic nodes in for which the responsibility attribution has not been determined are i `, where i ∈ I - {i1}, and set it as Repeat the above operations until the theoretical over-limit voltages of all photovoltaic nodes are less than or equal to 0, that is, the responsibilities to be borne by the photovoltaic nodes in S are all allocated;

[0171] If then determine the corresponding photovoltaic node only needs to discard part of its power generation to fully bear the responsibility of regulating the i1-th photovoltaic node, and calculate c is the proportion to be discarded for the j1-th photovoltaic node to fully bear the responsibility of regulating the i1-th photovoltaic node, The over-limit voltage values of the remaining PV nodes with undetermined liability attribution are Similarly, take maxTSV i `, where i ∈ I - {i1}, denoted as Repeat the above operations until the theoretical over-limit voltages of all PV nodes in I are less than or equal to 0;

[0172] If Then determine that Even if all the PV nodes corresponding to generate electricity, they cannot fully bear the responsibility of regulating the i1-th PV node. Then, select the PV node with the longest lever arm from the remaining PV nodes in S to compensate the regulated PV first. At this time, Then judge The size relationship with ;

[0173] If all the PV nodes in S together cannot fully bear the curtailment responsibility of regulating the i1-th PV node, then And take maxTSV i `, where i ∈ I - {i1}, denoted as Repeat the above operations until the theoretical over-limit voltages of all PV nodes in I are less than or equal to 0.

[0174] Preferably, the tracing unit 604 is used to calculate the Shapley value of each PV node i based on the total curtailment of the coalition of all participants in the subset S, so as to calculate the subsidy cost based on the Shapley value and perform subsidy tracing.

[0175] Preferably, the tracing unit 604 calculates the Shapley value of each PV node i based on the total curtailment of the coalition of all participants in the subset S, including:

[0176]

[0177] Where, φ i (v) is the Shapley value of the PV node i, which is the curtailment responsibility borne by the PV node i in the cooperative game of n decision-making entities; |S| is the number of participants in the subset S, v(S) represents the expression of the characteristic function of the coalition, that is, the total curtailment of the coalition; v(S - {i}) represents the total curtailment after removing i from the subset S, and W(|S|) is the weighting factor.

[0178] The subsidy tracing system 600 of the low-voltage distributed PV substation area in the embodiment of the present invention corresponds to the subsidy tracing method 100 of the low-voltage distributed PV substation area in another embodiment of the present invention, and will not be elaborated here.

[0179] On the other hand of the present invention, the present invention provides a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the steps of any one of the subsidy traceability methods for a low-voltage distributed photovoltaic station area are implemented.

[0180] On the other hand of the present invention, the present invention provides an electronic device, including:

[0181] The above-mentioned computer-readable storage medium; and

[0182] One or more processors for executing the program in the computer-readable storage medium.

[0183] The present invention has been described by referring to a few embodiments. However, as is well known to those skilled in the art, other embodiments equivalent to those disclosed above of the present invention equally fall within the scope of the present invention.

[0184] Generally, all terms used in the present invention are interpreted according to their ordinary meanings in the technical field, unless otherwise clearly defined therein. All references to "a / the [device, component, etc.]" are open to interpretation as at least one instance of the device, component, etc., unless otherwise clearly stated. The steps of any method disclosed herein need not be run in the exact order disclosed, unless clearly stated.

[0185] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present 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, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0186] The present application is described with reference to the flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and the combination of flows and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate a device for implementing the functions specified in Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.

[0187] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to work in a particular manner, such that the instructions stored in the computer-readable memory produce a manufacture including an instruction device that implements the functions specified in one or more of the processes Figure 1 one or more of the processes and / or blocks Figure 1 specified in the block or blocks.

[0188] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process, so that the instructions executed on the computer or other programmable apparatus provide steps for implementing the functions specified in one or more of the processes Figure 1 one or more of the processes and / or blocks Figure 1 specified in the block or blocks.

[0189] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications or equivalent replacements can still be made to the specific embodiments of the present invention. Any modifications or equivalent replacements that do not depart from the spirit and scope of the present invention shall be covered by the protection scope of the present invention.

Claims

1. A subsidy traceability method for a low-voltage distributed photovoltaic substation area, characterized in that, The method includes: Obtaining the actual power and actual voltage of all photovoltaic nodes in a low-voltage distributed photovoltaic substation area; For any photovoltaic node i, calculate the theoretical over-limit voltage TVS based on the actual power and actual voltage i ; Determining a decision-making subject set I based on all the photovoltaic nodes, and calculating the total curtailment of all participants in a subset S of the decision-making subject set I based on the theoretical over-limit voltage until the theoretical over-limit voltages of all photovoltaic nodes in the decision-making subject set I are less than or equal to 0; Calculating the Shapley value of each photovoltaic node i based on the total curtailment of all participants in the subset S, and calculating subsidy costs based on the Shapley value for subsidy traceability.

2. The method according to claim 1, wherein For any photovoltaic node i, calculate the theoretical over-limit voltage TVS based on the actual power and actual voltage i , including: TSV i = AV i + TUV - AV, i = 1, 2, ..., n, Among them, TSV i is the theoretical over-limit voltage of photovoltaic node i; AV is the preset voltage threshold; AV i is the actual voltage of photovoltaic node i; n is the number of photovoltaic nodes; l ij is the electrical position of distributed photovoltaic power generation point i relative to the preset reference point j of the power grid; AP j is the actual power of reference node j.

3. The method according to claim 1, characterized in that The determining a decision-making subject set I based on all the photovoltaic nodes, and calculating the total curtailment of all participants in a subset S of the decision-making subject set I based on the theoretical over-limit voltage until the theoretical over-limit voltages of all photovoltaic nodes in the decision-making subject set I are less than or equal to 0 includes: For There are |S| participants in S. To achieve fast minimum curtailment, the responsibility ratio is calculated starting from the one with the largest theoretical over-limit voltage, and maxTSV is taken i , where i ∈ I, set as Let ...... Judge and size relationship; Among them, if then determine the corresponding PV node, that is, the PV node with the longest lever arm from the regulated PV, can fully assume the responsibility of regulating the i1-th PV node. At this time the overvoltage values of the remaining PV nodes in I whose responsibility attribution has not been determined are take maxTSV i `, where i ∈ I - {i1}, denoted as Repeat the above operations until the theoretical overvoltage of all PV nodes is less than or equal to 0, that is, the responsibilities to be borne by the PV nodes in S are fully allocated; If then determine the corresponding PV node only needs to discard part of the power generation to fully assume the responsibility of regulating the i1-th PV node, and calculate c is the proportion to be discarded for the j1-th PV node to fully assume the responsibility of regulating the i1-th PV node, the overvoltage values of the remaining PV nodes in I whose responsibility attribution has not been determined are also take maxTSV i `, where i ∈ I - {i1}, and set it as Repeat the above operations until the theoretical overvoltage of all PV nodes in I is less than or equal to 0; If then determine If all the power generation of the corresponding photovoltaic nodes cannot fully bear the responsibility for the regulation of the i1-th photovoltaic node, then select the photovoltaic node with the longest lever arm from the remaining photovoltaic nodes in S to compensate the regulated photovoltaic first. At this time The overvoltage values of the remaining photovoltaic nodes in I whose responsibility attribution has not been determined are Then judge with the size relationship of; If all the PV nodes in S together cannot fully bear the curtailment responsibility of the i1-th PV node being regulated, then and take the maxTSV i `, where i ∈ I - {i1}, denoted as Repeat the above operations until the theoretical over-limit voltages of all PV nodes in I are less than or equal to 0.

4. The method according to claim 1, characterized in that, The calculating the Shapley value of each photovoltaic node i based on the total curtailment of all participants in the subset S includes: Among them, φ i (v) is the Shapley value of photovoltaic node i, which is the curtailment responsibility borne by photovoltaic node i in the cooperative game of n decision-making entities; |S| is the number of participants in subset S, v(S) represents the expression of the characteristic function of the coalition, that is, the total curtailment of the coalition; v(S-{i}) represents the total curtailment after removing i from subset S, and W(|S|) is the weighting factor.

5. A subsidy traceability system for a low-voltage distributed photovoltaic substation area, characterized in that, The system includes: A data acquisition unit for obtaining the actual power and actual voltage of all photovoltaic nodes in a low-voltage distributed photovoltaic substation area; The theoretical over-limit voltage calculation unit is configured to calculate the theoretical over-limit voltage TVS for any photovoltaic node i based on the actual power and the actual voltage i ; A total curtailment calculation unit for determining a decision-making subject set I based on all the photovoltaic nodes, and calculating the total curtailment of all participants in a subset S of the decision-making subject set I based on the theoretical over-limit voltage until the theoretical over-limit voltages of all photovoltaic nodes in the decision-making subject set I are less than or equal to 0; A traceability unit for calculating the Shapley value of each photovoltaic node i based on the total curtailment of all participants in the subset S, and calculating subsidy costs based on the Shapley value for subsidy traceability.

6. The system according to claim 5, wherein The theoretical over-limit voltage calculation unit calculates the theoretical over-limit voltage TVS for any photovoltaic node i based on the actual power and actual voltage i , including: TSV i = AV i + TUV - AV, i = 1, 2,..., n, Among them, TSV i is the theoretical over-limit voltage of photovoltaic node i; AV is the preset voltage threshold; AV i is the actual voltage of photovoltaic node i; n is the number of photovoltaic nodes; l ij is the electrical position of distributed photovoltaic power generation point i relative to the preset reference point j of the power grid; AP j is the actual power of reference node j.

7. The system according to claim 5, characterized in that The total curtailment calculation unit, which determines a decision-making subject set I based on all the photovoltaic nodes, and calculates the total curtailment of all participants in a subset S of the decision-making subject set I based on the theoretical over-limit voltage until the theoretical over-limit voltages of all photovoltaic nodes in the decision-making subject set I are less than or equal to 0, includes: For There are |S| participants in S. To achieve fast minimum curtailment, the responsibility ratio is calculated starting from the one with the largest theoretical over-limit voltage, and maxTSV is taken i , where i ∈ I, set as Let ...... Judge and for their size relationship; Among them, if then determine the corresponding PV node, that is, the PV node with the longest lever arm from the regulated PV, can fully assume the responsibility of regulating the i1-th PV node. At this time the overvoltage values of the remaining PV nodes in I whose responsibility attribution has not been determined are take maxTSV i `, where i ∈ I - {i1}, denoted as Repeat the above operations until the theoretical overvoltage of all PV nodes is less than or equal to 0, that is, the responsibilities to be borne by the PV nodes in S are all allocated; If then determine the corresponding PV node only needs to discard part of its power generation to fully assume the responsibility of the regulation of the i1-th PV node, and calculate c is the proportion to be discarded for the j1-th PV node to fully assume the responsibility of the regulation of the i1-th PV node, the over-limit voltage values of the remaining PV nodes in I whose responsibility attribution has not been determined are also take maxTSV i `, where i ∈ I - {i1}, and set it as Repeat the above operations until the theoretical over-limit voltages of all PV nodes in I are less than or equal to 0; If then determine If all the power generation of the corresponding photovoltaic nodes cannot fully bear the responsibility of regulating the i1-th photovoltaic node, then select the photovoltaic node with the longest lever arm from the remaining photovoltaic nodes in S to compensate the regulated photovoltaic first. At this time The over-limit voltage values of the remaining photovoltaic nodes in I whose responsibility attribution has not been determined are Then judge and the magnitude relationship; If all the PV nodes in S together cannot fully assume the curtailment responsibility of the PV node No. i1 being regulated, then And take maxTSV i `, where i ∈ I - {i1}, denoted as Repeat the above operations until the theoretical over-limit voltages of all PV nodes in I are less than or equal to 0.

8. The system according to claim 5, wherein The traceability unit, which calculates the Shapley value of each photovoltaic node i based on the total curtailment of all participants in the subset S, includes: Among them, φ i (v) is the Shapley value of photovoltaic node i, which is the curtailment responsibility borne by photovoltaic node i in the cooperative game of n decision-making entities; |S| is the number of participants in subset S, v(S) represents the expression of the characteristic function of the coalition, that is, the total curtailment of the coalition; v(S-{i}) represents the total curtailment after removing i from subset S, and W(|S|) is the weighting factor.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by a processor, it implements the steps of the method according to any one of claims 1-4.

10. An electronic device, characterized in that, It includes: The computer-readable storage medium described in claim 9; And One or more processors for executing the program in the computer-readable storage medium.

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