Scheduling scheme evaluation method and device based on node carbon emission, terminal equipment and storage medium

Abstract

The invention discloses a scheduling scheme evaluation method and device based on node carbon emission, terminal equipment and a storage medium, and the method comprises the steps: constructing a unit connection matrix and a node connection matrix according to a topological structure of a power distribution network, and determining a unit power flow distribution matrix and a branch power flow distribution matrix in combination with scheme data; calculating active power flowing through each node in the power distribution network, generating a node carbon potential matrix, further combining with a load distribution matrix, calculating node carbon emission of each node, and finally comparing the sum of the total power generation carbon emission and the node carbon emission with a preset carbon emission threshold value. And determining a carbon emission evaluation result of the to-be-evaluated power dispatching scheme. Therefore, the problem that whether the carbon emission generated in the implementation process of the power dispatching strategy reaches the standard or not cannot be evaluated due to the fact that the carbon emission generated in the electric energy transmission link in the implementation process of the power dispatching strategy cannot be accurately evaluated at present can be solved.

Description

TECHNICAL FIELD

[0001] The present application relates to a node carbon emission based scheduling scheme evaluation method and device, terminal equipment and storage medium. BACKGROUND

[0002] A significant feature of the new power system is that a large number of new power sources and loads are connected to the distribution network, such as photovoltaic power generation, wind power generation, etc. By connecting a large number of distributed power sources to the distribution network side, the carbon emissions generated by power generation can be effectively reduced. The current carbon emissions are also an important indicator for evaluating whether the power dispatching strategy is implementable.

[0003] The distribution line also produces carbon emissions during the transmission of electric energy. The energy loss due to the resistance, inductance, capacitance and other elements in the process of transmitting electric energy from the power source to the user will eventually be lost to the environment in the form of heat. Therefore, the calculation of carbon emissions generated by the distribution line in transmitting electric energy depends on the calculation and analysis of the power flow of the distribution network. However, with the increasing number of clean energy sources connected to the distribution network, the temporal and spatial characteristics of the power flow of the distribution network are different from those of the traditional distribution network. The traditional power flow analysis method is not suitable for the new power system with a large number of new energy sources connected. In addition, the traditional carbon emission accounting method only calculates the carbon emissions generated by the source-side unit output. Therefore, it is currently impossible to accurately evaluate the carbon emissions generated by the electric energy transmission link during the implementation of the power dispatching strategy, and thus it is impossible to evaluate whether the carbon emissions generated by the implementation of the power dispatching strategy meet the standards. SUMMARY

[0004] The present application provides a node carbon emission based scheduling scheme evaluation method, device, terminal equipment and storage medium, which can solve the problem that the current carbon emissions generated by the electric energy transmission link during the implementation of the power dispatching strategy cannot be accurately evaluated, and thus the carbon emissions generated by the implementation of the power dispatching strategy cannot be evaluated whether they meet the standards.

[0005] An embodiment of the present application provides a node carbon emission based scheduling scheme evaluation method, comprising:

[0006] Obtaining the topological structure of the distribution network, the load distribution matrix and the scheme data of the to-be-evaluated power dispatching scheme; wherein the scheme data includes the first output power of the source-side unit in the distribution network, the second output power of the distributed power source arranged at each target node in the distribution network, and the total power generation carbon emissions of the source-side unit and all distributed power sources;

[0007] According to the topological structure, a unit connection matrix for representing the connection structure of each target node in the distribution network and a node connection matrix for representing the connection structure of all nodes in the distribution network are constructed;

[0008] According to the node connection matrix, the unit connection matrix, and the scheme data, a branch power flow distribution matrix for representing power flow distribution of the first output power and a unit power flow distribution matrix for representing power flow distribution of the second output power are respectively determined;

[0009] The unit power flow distribution matrix and the branch power flow distribution matrix are integrated to calculate active power flowing through each node in the power distribution network, and a node carbon potential matrix for representing carbon emission flow direction of each node is generated according to the active power;

[0010] According to the node carbon potential matrix and the load distribution matrix, the node carbon emission of each node in the power distribution network is calculated;

[0011] The total power generation carbon emission and the sum of the node carbon emissions are compared with a preset carbon emission threshold to determine the carbon emission evaluation result of the to-be-evaluated power dispatching scheme.

[0012] Further, the generating, according to the active power, of the node carbon potential matrix for representing carbon emission flow direction of each node comprises:

[0013] The preset carbon emission intensity of each distributed power supply is obtained;

[0014] According to the active power, a node active flux matrix is constructed;

[0015] According to the carbon emission intensity, the node active flux matrix, the unit power flow distribution matrix, and the branch power flow distribution matrix, the node carbon potential matrix for representing carbon emission flow direction of each node is generated.

[0016] Further, the generating, according to the carbon emission intensity, the node active flux matrix, the unit power flow distribution matrix, and the branch power flow distribution matrix, of the node carbon potential matrix for representing carbon emission flow direction of each node comprises:

[0017] According to the following formula, the node carbon potential matrix for representing carbon emission flow direction of each node is generated:

[0018]

[0019]

[0020] wherein, E N is the node carbon potential matrix, P B is the branch power flow distribution matrix, P G is the unit power flow distribution matrix, P N is the node active flux matrix, E Ga carbon intensity matrix e Gk is the carbon intensity of the kth distributed power source.

[0021] Further, according to the load distribution matrix, a node total load of each node in the power distribution network is calculated;

[0022] According to the following formula, a node carbon emission matrix of each node in the power distribution network is constructed:

[0023]

[0024] E N = [e N1 ,...,e NN ] T ;

[0025] wherein, is a node carbon emission matrix composed of the node carbon emissions of each node in the power distribution network, P′ L is a node load matrix composed of the node total load, E N is a node carbon potential matrix, e Ni is the node carbon potential of the ith node in the power distribution network.

[0026] According to the node carbon emission matrix, the node carbon emission of each node in the power distribution network is determined.

[0027] According to the node carbon emission matrix, the node carbon emission of each node in the power distribution network is determined.

[0028] Further, the generation of the to-be-evaluated power dispatch scheme comprises:

[0029] Performance parameters of each distributed power source, operation cost parameters of the power distribution network, and carbon emission cost parameters are obtained; wherein, the operation cost parameters comprise generation cost per unit output power of source-side units and the distributed power sources; the carbon emission cost parameters comprise carbon emission cost per unit carbon emission generated by the source-side units and the distributed power sources;

[0030] According to the operation cost parameters and the carbon emission cost parameters, a target function with the objective of minimizing cost is constructed;

[0031] According to the load distribution matrix, a power balance constraint condition is constructed, and according to the performance parameters, a performance constraint condition is constructed;

[0032] Under the power balance constraint condition and the performance constraint condition, the target function is solved to generate the to-be-evaluated power dispatch scheme.

[0033] The other embodiment of the present application also provides a scheduling scheme evaluation device based on node carbon emission, comprising:

[0034] a data acquisition module, configured to acquire a topology structure of a power distribution network, a load distribution matrix, and scheme data of a power scheduling scheme to be evaluated; wherein the scheme data comprises a first output power of a source-side unit in the power distribution network, a second output power of a distributed power source arranged at each target node in the power distribution network, and a total power generation carbon emission of the source-side unit and all distributed power sources;

[0035] a structure analysis module, configured to construct, according to the topology structure, a unit connection matrix for characterizing a connection structure of each target node in the power distribution network, and a node connection matrix for characterizing a connection structure of all nodes in the power distribution network;

[0036] a power flow analysis module, configured to determine, according to the node connection matrix, the unit connection matrix, and the scheme data, a branch power flow distribution matrix for characterizing a power flow distribution of the first output power, and a unit power flow distribution matrix for characterizing a power flow distribution of the second output power;

[0037] a carbon potential calculation module, configured to integrate the unit power flow distribution matrix and the branch power flow distribution matrix, calculate active power flowing through each node in the power distribution network, and generate, according to the active power, a node carbon potential matrix for characterizing a carbon emission flow direction of each node;

[0038] a carbon emission calculation module, configured to calculate, according to the node carbon potential matrix and the load distribution matrix, a node carbon emission of each node in the power distribution network;

[0039] a scheme evaluation module, configured to compare the total power generation carbon emission and a sum of the node carbon emissions with a preset carbon emission threshold, and determine a carbon emission evaluation result of the power scheduling scheme to be evaluated.

[0040] Further, the carbon potential calculation module generates, according to the active power, a node carbon potential matrix for characterizing a carbon emission flow direction of each node, comprising:

[0041] acquiring a preset carbon emission intensity of each distributed power source;

[0042] constructing a node active flux matrix according to the active power;

[0043] generating, according to the carbon emission intensity, the node active flux matrix, the unit power flow distribution matrix, and the branch power flow distribution matrix, a node carbon potential matrix for characterizing a carbon emission flow direction of each node.

[0044] Further, the carbon potential calculation module generates a node carbon potential matrix for representing carbon emission flow direction of each node according to the carbon emission intensity, the node active power flow matrix, the unit power flow distribution matrix and the branch power flow distribution matrix, including:

[0045] The node carbon potential matrix for representing carbon emission flow direction of each node is generated according to the following formula:

[0046]

[0047] Wherein, E N is the node carbon potential matrix, P B is the branch power flow distribution matrix, P G is the unit power flow distribution matrix, P N is the node active power flow matrix, E G is a carbon emission intensity matrix constructed by carbon emission intensities of all distributed power sources, e Gk is the carbon emission intensity of the kth distributed power source.

[0048] Another embodiment of the present application also provides a terminal device, comprising: a processor, a memory and a computer program stored in the memory and configured to be executed by the processor, when the processor executes the computer program, the steps of the scheduling scheme evaluation method based on node carbon emission as described in any one of the above embodiments of the present application are implemented.

[0049] Another embodiment of the present application also provides a computer readable storage medium, comprising: a stored computer program, when the computer program runs, the device where the computer readable storage medium is located executes the steps of the scheduling scheme evaluation method based on node carbon emission as described in any one of the above embodiments of the present application.

[0050] By implementing the present application, the following beneficial effects are achieved:

[0051] The application discloses a scheduling scheme evaluation method and device based on node carbon emission, a terminal equipment and a storage medium. BRIEF DESCRIPTION OF DRAWINGS

[0052] In order to more clearly illustrate the technical solutions of the present application, the following will briefly introduce the drawings needed to be used in the embodiments. Obviously, the drawings described in the following are only some of the embodiments of the present application, and other drawings can also be obtained by those skilled in the art without any creative effort.

[0053] Figure 1 is a flow diagram of a scheduling scheme evaluation method based on node carbon emission provided by an embodiment of the present application;

[0054] Figure 2 is a structural diagram of a scheduling scheme evaluation device based on node carbon emission provided by an embodiment of the present application. DETAILED DESCRIPTION

[0055] In order to make the purpose, technical solutions and advantages of the present application clearer, the technical solutions in the present application will be described clearly and completely in the following by combining the drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without any creative effort are within the protection scope of the present application.

[0056] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs; the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of this application; the use of the terms "including," "comprising," or "having" and variations thereof herein is intended to be broad and encompass the terms "consisting of" and "consisting essentially of" and variations thereof. Unless otherwise required by context, singular terms shall include pluralities and vice versa. Unless otherwise required by context, the use herein of the singular is also to be construed as a use of the plural and vice versa.

[0057] In the description of the embodiments of the present application, the technical terms "first", "second", etc. are only used to distinguish different objects, and cannot be understood as indicating or implying relative importance or implicitly indicating the number, specific order or primary and secondary relationship of the indicated technical features. In the description of the embodiments of the present application, the meaning of "a plurality of" is two or more, unless otherwise explicitly specified.

[0058] Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearance of the phrase in various places in the specification does not necessarily all refer to the same embodiment, nor is it necessarily independent or alternative embodiments to each other. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0059] In the description of the embodiments of the present application, the term "and / or" is only a description of the association relationship of the associated objects, which means that there can be three relationships, for example, A and / or B, which can represent the three cases of A alone, A and B together, and B alone. In addition, the character " / " herein generally represents an "or" relationship between the front and rear associated objects.

[0060] In the description of the embodiments of the present application, the terms "a plurality of", "several" refer to two or more (including two), and similarly, "a plurality of groups" refers to two or more groups (including two groups), and "a plurality of pieces" refers to two or more pieces (including two pieces).

[0061] In the description of the embodiments of the present application, unless otherwise explicitly specified and limited, the technical terms "mounting", "connecting", "connecting", "fixing" and the like should be understood in a broad sense, for example, it can be fixedly connected, or it can be detachably connected, or it can be integrated; it can be mechanical connection, or it can be electrical connection; it can be directly connected, or it can be indirectly connected through an intermediate medium; it can be the internal communication of two elements or the interaction relationship between two elements. For those skilled in the art, the specific meaning of the above terms in the embodiments of the present application can be understood according to the specific circumstances.

[0062] Reference is made to Figure 1To solve the problem that the carbon emissions generated by the power dispatching strategy in the power transmission link in the implementation process cannot be accurately evaluated at present, and thus whether the carbon emissions generated by the power dispatching strategy in the implementation process meet the standard cannot be evaluated, an embodiment of the present application provides a kind of dispatching scheme evaluation method based on node carbon emissions, comprising:

[0063] S1, the topology structure of distribution network, load distribution matrix and the scheme data of the power dispatching scheme to be evaluated are acquired;Wherein, the scheme data includes: the first output power of the source side unit in the distribution network, the second output power of the distributed power source arranged in each target node of the distribution network and the total power generation carbon emissions of the source side unit and all distributed power sources;

[0064] In a preferred embodiment of the present application, the topology structure is data recording the connection structure of all distribution nodes in power distribution, which can be in the form of node topology graph, three-dimensional topology model or text description, etc.It should be noted that the distribution node includes a plurality of load nodes (i.e.users), and the distribution node provided with a distributed power source is defined as a target node.The load distribution matrix is a matrix composed of the predicted load of each load node, which is obtained by connecting with the load prediction system.The power dispatching scheme to be evaluated is a scheme formulated or generated by experts or models according to the predicted load, which is used to guide the output of each distributed power source and source side unit in the future distribution network to ensure normal power consumption of regional users.

[0065] S2, according to the topology structure, a unit connection matrix for characterizing the connection structure of each target node in the distribution network is constructed, and a node connection matrix for characterizing the connection structure of all nodes in the distribution network is constructed;

[0066] In a preferred embodiment of the present application, the unit connection matrix is A G =(A Gkj ) K×N , wherein K represents the number of distributed power sources, N represents the number of all nodes in the distribution network, the distributed power source k is connected to node j (j = 1, 2, …, N), then A Gkj = 1, otherwise A Gkj = 0.The node connection matrix is A B =(A Bij ) N×N , if there is a branch connected between node i and node j (i, j = 1, 2, …, N), then A Bij = 1, A Bji = -1, if there is no branch connected between node i and node j, then A Bij = 0, A Bji = 0.

[0067] S3. Determine, based on the node connection matrix, the unit connection matrix, and the scheme data, a branch power flow distribution matrix for characterizing the power flow distribution of the first output power and a unit power flow distribution matrix for characterizing the power flow distribution of the second output power;

[0068] In a preferred embodiment of the present invention, to improve the efficiency of constructing the branch power flow distribution matrix, it is first assumed that all nodes in the distribution network are connected, and a branch power flow pre-distribution matrix is ​​constructed based on the first output power. However, in reality, the power flow between non-adjacent nodes is zero. Therefore, the node connection matrix is ​​multiplied by the branch power flow pre-distribution matrix to eliminate the power flow between non-adjacent nodes and retain only the power flow between adjacent nodes. The branch power flow distribution matrix is ​​generated as follows:

[0069] P B =A B ⊙P preB ;

[0070] Where, P preB is the branch power flow pre-distribution matrix, P B is the branch power distribution matrix. If there is a branch connecting node i and node j (i, j = 1, 2, ..., N), and the positive active power flow from node i to node j through this branch is p, then P jBi =p,P Bji =-p; if the active power flow p flowing through the branch is a reverse flow, then P Bij =-p,P Bji =p; otherwise P Bij =P Bji = 0, in particular, for all diagonal elements, P Bii =0(i,j=1,2,...,N).

[0071] Similarly, we first assume that the target node with distributed power is connected to all other nodes. According to the second output power, we construct the unit power flow pre-distribution matrix. Then, we multiply the unit connection matrix with the unit power flow pre-distribution matrix to eliminate the power flows between non-adjacent nodes and retain only the power flows between adjacent nodes. The unit power flow distribution matrix is ​​generated, which is expressed as follows:

[0072] P G =A G ⊙P preG ;

[0073] Where, P preG is the unit power flow pre-distribution matrix, P G is the unit power flow distribution matrix.

[0074] To facilitate subsequent calculations, in this embodiment, it is assumed that the output power of one distributed power source can only be injected into one node, that is, it is only used by users under this node. Therefore, the following constraints exist for any row of the unit power flow distribution matrix, namely, P Gij In (j=1,2,…N), only one element is not 0, that is, the element in the column corresponding to the node i connected to the distributed power supply k is not 0, and the elements in the other N-1 columns are all 0. Its mathematical expression is:

[0075]

[0076] S4. Integrate the unit power flow distribution matrix and the branch power flow distribution matrix, calculate the active power flowing through each node in the distribution network, and generate a node carbon potential matrix for characterizing the carbon emission flow direction of each node based on the active power;

[0077] Preferably, generating a node carbon potential matrix for characterizing the carbon emission direction of each node according to the active power includes:

[0078] S41. Obtaining the preset carbon emission intensity of each distributed power source;

[0079] In a preferred embodiment of the present invention, different distributed power sources have different carbon emission characteristics, which are known conditions and can form a carbon emission intensity matrix. Let the carbon emission intensity of the kth (k=1, 2, ...K) distributed power source be e Gk , then the carbon emission intensity matrix can be expressed as:

[0080]

[0081] Among them, E G The carbon emission intensity matrix is ​​constructed by the carbon emission intensity of all distributed power sources.

[0082] S42. Constructing a node active flux matrix according to the active power;

[0083] In a preferred embodiment of the present invention, the following node active flux matrix is ​​constructed based on the unit power flow pre-distribution matrix and the branch power flow distribution matrix:

[0084] P N =diag(ζ N+K P Z );

[0085] P Z =[P B P G ] T ;

[0086] Among them, N+Kis an N+K order row vector, all elements in the vector are 1, P Z is an intermediate vector integrated by the unit power flow pre-distribution matrix and the branch power flow distribution matrix. The node active power flow matrix is an N order diagonal matrix, denoted as . is the active power flowing through the branch between the i th node and the j th node, when the i th node and the j th node are not connected,

[0087] S43, generating a node carbon potential matrix for representing carbon emission flow direction of each node according to the carbon emission intensity, the node active power flow matrix, the unit power flow distribution matrix and the branch power flow distribution matrix.

[0088] Preferably, the generating a node carbon potential matrix for representing carbon emission flow direction of each node according to the carbon emission intensity, the node active power flow matrix, the unit power flow distribution matrix and the branch power flow distribution matrix comprises:

[0089] S431, generating a node carbon potential matrix for representing carbon emission flow direction of each node according to the following formula:

[0090]

[0091] wherein, E N is a node carbon potential matrix, P B is a branch power flow distribution matrix, P G is a unit power flow distribution matrix, P N is a node active power flow matrix, E G is a carbon emission intensity matrix constructed by carbon emission intensities of all distributed power sources, e Gk is a carbon emission intensity of the k th distributed power source.

[0092] S5, calculating node carbon emission of each node in the distribution network according to the node carbon potential matrix and the load distribution matrix;

[0093] Preferably, the calculating node carbon emission of each node in the distribution network according to the node carbon potential matrix and the load distribution matrix comprises:

[0094] S51, calculating node total load of each node in the distribution network according to the load distribution matrix;

[0095] S52, constructing a node carbon emission matrix of each node in the distribution network according to the following formula:

[0096]

[0097] E N= [e N1 ,...,e NN ] T ;

[0098] wherein, is a node carbon emission matrix composed of node carbon emissions of each node in the power distribution network, P′ L is a load distribution matrix, E N is a node carbon potential matrix, e Ni is a node carbon potential of the i-th node in the power distribution network.

[0099] S53, determining the node carbon emission of each node in the power distribution network according to the node carbon emission matrix.

[0100] In a preferred embodiment of the present application, in the embodiment, it is assumed that each user (load) is powered by only one node, and one node powers multiple users, therefore, the load distribution matrix is an M*N order matrix, denoted as P L = (P Lmj ) M×N If the node j is a node powering the m-th (m=1, 2, …M) load, and the active load provided to m is p, then P Lmj = p, otherwise P Lmj = 0.

[0101] The total load of each node is obtained by accumulating the loads under each node:

[0102]

[0103] The node carbon emission is calculated as follows:

[0104]

[0105] wherein, is a node carbon emission matrix composed of node carbon emissions of each node in the power distribution network, P′ L is a node load matrix composed of the node total loads, E N is a node carbon potential matrix, e Ni is a node carbon potential of the i-th node in the power distribution network.

[0106] S6, comparing the total power generation carbon emission and the sum of the node carbon emissions with a preset carbon emission threshold, to determine the carbon emission evaluation result of the to-be-evaluated power dispatching scheme.

[0107] In a preferred embodiment of the present application, the total carbon emission generated in the implementation of the to-be-evaluated power dispatching scheme is calculated by summing the total power generation carbon emission generated by power generation and the sum of node carbon emissions, and is compared with the carbon emission threshold defined by the relevant department, and when the total carbon emission is greater than the carbon emission threshold, it is determined that the carbon emission evaluation result of the to-be-evaluated power dispatching scheme is substandard, and when the total carbon emission is not greater than the carbon emission threshold, it is determined that the carbon emission evaluation result of the to-be-evaluated power dispatching scheme is up to standard.

[0108] Preferably, the generation of the to-be-evaluated power dispatching scheme comprises:

[0109] S11, acquiring performance parameters of each distributed power supply, operation cost parameters and carbon emission cost parameters of the power distribution network; wherein the operation cost parameters comprise power generation cost per unit output power of source side units and the distributed power supply; and the carbon emission cost parameters comprise carbon emission cost per unit carbon emission generated by power generation of the source side units and the distributed power supply;

[0110] S12, constructing a target function with the objective of cost minimization according to the operation cost parameters and the carbon emission cost parameters;

[0111] S13, constructing a power balance constraint condition according to the load distribution matrix, and constructing a performance constraint condition according to the performance parameters;

[0112] S14, solving the target function under the power balance constraint condition and the performance constraint condition to generate the to-be-evaluated power dispatching scheme.

[0113] In a preferred embodiment of the present application, the expression of the target function is as follows:

[0114]

[0115] Wherein, C Op , respectively represent the operation cost and the carbon emission cost.

[0116] The system operation cost calculation method is as follows:

[0117]

[0118] In the formula, C OM represents the fixed operation and maintenance cost required by the distributed power supply due to equipment loss and normal operation, C FUEL,G represents the unit generation cost of the unit, C SU,G represents the unit start-stop cost, represents the operation and maintenance cost corresponding to the unit capacity of the conventional unit, C g represents the conventional unit capacity, ωt denotes the runtime of the corresponding subject, a g , b g and c g respectively denote the generation cost coefficient of the conventional unit, P g,t denotes the generation power of the conventional unit at time t, U g,t denotes the start-stop state of the unit, U g,t = 1 indicates that the unit is in the start state at time t, U g,t = 0 indicates that the unit is in the stop state at time t; and respectively denote the start cost and stop cost per unit capacity of the conventional unit, S g,t and D g,t respectively denote the start action and stop action of the unit at time t, S g,t = 1 indicates that the unit is started at time t, D g,t = 1 indicates that the unit is stopped at time t, S g,t = 0 or D g,t = 0 indicates that the state of the unit does not change at time t.

[0119] The carbon emission cost calculation method is as follows:

[0120]

[0121] wherein denotes the penalty cost corresponding to unit carbon emission, which can be represented by the carbon trading price. Referring to the closing price of carbon market on June 20, 2022, which is 59.25 yuan per ton, ω g,t denotes the runtime of the unit g, e g denotes the carbon emission factor of the unit g. The typical generation carbon emission factors of various types of units are shown in the following table.

[0122]

[0123] Further, the power balance constraint condition

[0124] Considering that each node needs to satisfy the power balance constraint at any time, the power balance constraint of each node can be described as the power flowing into node i + the generation power of the distributed power source connected to node i = the load power connected to node i at any time, and the mathematical expression is as follows:

[0125]

[0126] In the formula, denotes the inflow power of node n flowing into node i, denotes the generation power of the distributed power source k connected to node i, represents the active power of the load m connected to node i. The above system balance matrix can be further extended to the power balance calculation of each node in a multi-node system. For a multi-node system, a branch power flow distribution matrix, a unit injection distribution matrix, and a load distribution matrix can be established as follows.

[0127] The performance constraints include new energy unit output constraints, conventional unit output technical constraints, etc. The operation constraints of distributed power sources (such as wind power, photovoltaic power, etc.) mainly depend on resource availability. The maximum adjustable capacity of the distributed power source is represented by the product of the maximum capacity factor and the installed capacity. Specifically,

[0128] Upper and lower limits of conventional unit output constraints:

[0129]

[0130] Ramp constraints of units:

[0131]

[0132] Specifically, when the unit is switched from the start state to the stop state, the downward ramp constraint is the effective constraint, and vice versa, the upward ramp constraint is the effective constraint.

[0133] Unit operation state constraints: the operation state of the unit and the operation state conversion flag are both 0-1 variables, and the unit is limited to have only one operation state at any time.

[0134]

[0135]

[0136] Start-up time constraints are used to limit the minimum start-up duration of the unit:

[0137]

[0138] Shutdown time constraints limit the minimum shutdown duration of the unit:

[0139]

[0140] Unit output constraints limit the maximum and minimum output of distributed power sources:

[0141]

[0142] Ψ T Ψ R Ψ Ψ respectively represent the minimum and maximum technical output levels of the unit; respectively represent the maximum upward and downward ramping capability of the unit, which does not include the minimum output level that needs to be reached when the unit is switched from the shutdown state to the startup state; respectively represent the minimum continuous startup and continuous shutdown time of the unit; and respectively represent the minimum and maximum technical output levels of the unit; respectively represent the minimum and maximum technical output levels of the unit; g,t predicting an energy factor for the renewable energy unit.

[0143] As shown in the above method embodiment, on the basis of the above method embodiment, a corresponding device embodiment is provided; Figure 2 An embodiment of the present application provides a scheduling scheme evaluation device based on node carbon emission, comprising:

[0144] A data acquisition module is configured to acquire a topological structure of a power distribution network, a load distribution matrix, and scheme data of a power dispatching scheme to be evaluated; wherein the scheme data comprises a first output power of a source-side unit in the power distribution network, a second output power of a distributed power supply arranged at each target node in the power distribution network, and a total power generation carbon emission of the source-side unit and all distributed power supplies.

[0145] A structure analysis module is configured to construct, according to the topological structure, a unit connection matrix for representing a connection structure of each target node in the power distribution network, and a node connection matrix for representing a connection structure of all nodes in the power distribution network.

[0146] A power flow analysis module is configured to determine, according to the node connection matrix, the unit connection matrix, and the scheme data, a branch power flow distribution matrix for representing power flow distribution of the first output power, and a unit power flow distribution matrix for representing power flow distribution of the second output power.

[0147] A carbon potential calculation module is configured to integrate the unit power flow distribution matrix and the branch power flow distribution matrix, calculate active power flowing through each node in the power distribution network, and generate a node carbon potential matrix for representing carbon emission flow direction of each node according to the active power.

[0148] A carbon emission calculation module is configured to calculate node carbon emission of each node in the power distribution network according to the node carbon potential matrix and the load distribution matrix.

[0149] A scheme evaluation module is configured to compare the total power generation carbon emission and a sum of the node carbon emissions with a preset carbon emission threshold, and determine a carbon emission evaluation result of the power dispatching scheme to be evaluated.

[0150]

[0151] ​Further, the carbon potential calculation module generates a node carbon potential matrix for representing carbon emission flow direction of each node according to the active power, including:

[0152] obtaining a preset carbon emission intensity of each distributed power supply;

[0153] constructing a node active flux matrix according to the active power;

[0154] generating a node carbon potential matrix for representing carbon emission flow direction of each node according to the carbon emission intensity, the node active flux matrix, the unit power flow distribution matrix and the branch power flow distribution matrix.

[0155] Further, the carbon potential calculation module generates a node carbon potential matrix for representing carbon emission flow direction of each node according to the carbon emission intensity, the node active flux matrix, the unit power flow distribution matrix and the branch power flow distribution matrix, including:

[0156] generating a node carbon potential matrix for representing carbon emission flow direction of each node according to the following formula:

[0157]

[0158]

[0159] wherein, E N is the node carbon potential matrix, P B is the branch power flow distribution matrix, P G is the unit power flow distribution matrix, P N is the node active flux matrix, E G is a carbon emission intensity matrix constructed by carbon emission intensities of all distributed power supplies, e Gk is the carbon emission intensity of the kth distributed power supply.

[0160] It can be understood that the above-mentioned device embodiment is corresponding to the method embodiment of the present application, which can realize the method of any one of the above-mentioned embodiments of the present application to provide a scheduling scheme evaluation method based on node carbon emission.

[0161] It should be noted that the device embodiments described above are only schematic, and some or all of the modules can be selected according to actual needs to achieve the purpose of the present embodiment scheme. In addition, the device embodiments provided by the present application in the drawings, the connection relationship between the modules indicates that there is a communication connection between them, which can be realized as one or more communication buses or signal lines. Those skilled in the art can understand and implement without creative labor.

[0162] On the basis of the above-mentioned embodiment of the method for evaluating the scheduling scheme based on node carbon emission, another embodiment of the present application provides a terminal device, which comprises a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and when the computer program is executed by the processor, a method for evaluating the scheduling scheme based on node carbon emission in any embodiment of the present application is realized.

[0163] For example, in this embodiment, the computer program can be divided into one or more modules, which are stored in the memory and executed by the processor to complete the present application. The one or more modules can be a series of computer program instruction segments capable of completing a specific function, which are used to describe the execution process of the computer program in the terminal device.

[0164] The terminal device can be a desktop computer, a notebook computer, a palm computer, a cloud server and other computing devices. The terminal device can include, but is not limited to, a processor and a memory.

[0165] The processor can be a central processing unit (CPU), and can also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor, etc. The processor is the control center of the terminal device, and connects all parts of the terminal device through various interfaces and lines.

[0166] On the basis of the above-mentioned method embodiment, another embodiment of the present application provides a computer-readable storage medium, which comprises a stored computer program, wherein when the computer program runs, the device where the computer-readable storage medium is located executes the method for evaluating the scheduling scheme based on node carbon emission in any embodiment of the present application.

[0167] The modules / units integrated in the device / terminal equipment, if realized in the form of software function units and sold or used as independent products, can be stored in a computer readable storage medium. Based on this understanding, all or part of the processes in the above-mentioned embodiment methods can also be completed by a computer program instructing related hardware, and the computer program can be stored in a computer readable storage medium. When the computer program is executed by a processor, the steps of each method embodiment can be implemented. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or some intermediate forms, etc. The computer readable medium can include any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal, and software distribution medium, etc.

[0168] The above is the preferred embodiment of the present application. It should be noted that, for those skilled in the art, without departing from the principles of the present application, a number of improvements and refinements can be made, which are also considered within the scope of protection of the present application.

Claims

1. A scheduling scheme evaluation method based on node carbon emissions, characterized in that: include: Obtaining the topology of the distribution network, the load distribution matrix, and scheme data of the power dispatch scheme to be evaluated; wherein the scheme data includes: the first output power of the source-side unit in the distribution network, the second output power of the distributed power supply set at each target node in the distribution network, and the total power generation carbon emissions of the source-side unit and all distributed power supplies; According to the topological structure, constructing a unit connection matrix for representing the connection structure of each target node in the distribution network, and a node connection matrix for representing the connection structure of all nodes in the distribution network; Determining, based on the node connection matrix, the unit connection matrix, and the scheme data, a branch power flow distribution matrix for characterizing the power flow distribution of the first output power and a unit power flow distribution matrix for characterizing the power flow distribution of the second output power; Integrating the unit power flow distribution matrix and the branch power flow distribution matrix, calculating the active power flowing through each node in the distribution network, and generating a node carbon potential matrix for characterizing the carbon emission flow direction of each node based on the active power; Calculating the node carbon emissions of each node in the distribution network according to the node carbon potential matrix and the load distribution matrix; The total power generation carbon emissions and the sum of the carbon emissions of several nodes are compared with a preset carbon emission threshold to determine a carbon emission assessment result of the power dispatching scheme to be assessed.

2. The method for evaluating a scheduling scheme based on node carbon emissions according to claim 1, wherein: Generating a node carbon potential matrix for characterizing the carbon emission direction of each node according to the active power includes: Obtaining a preset carbon emission intensity of each of the distributed power sources; Constructing a node active flux matrix according to the active power; A node carbon potential matrix for characterizing the carbon emission direction of each node is generated according to the carbon emission intensity, the node active power flux matrix, the unit power flow distribution matrix, and the branch power flow distribution matrix.

3. The method for evaluating a scheduling scheme based on node carbon emissions according to claim 2, wherein: The generating, according to the carbon emission intensity, the node active flux matrix, the unit power flow distribution matrix, and the branch power flow distribution matrix, of a node carbon potential matrix for characterizing the carbon emission direction of each node includes: The node carbon potential matrix used to characterize the carbon emission flow direction of each node is generated according to the following formula: Among them, E N is the node carbon potential matrix, P B is the branch power flow distribution matrix, P G is the power flow distribution matrix of the unit, P N is the node active flux matrix, E G is the carbon emission intensity matrix constructed by the carbon emission intensity of all distributed power sources, e Gk is the carbon emission intensity of the kth distributed generation unit.

4. The method for evaluating a scheduling scheme based on node carbon emissions according to claim 3, wherein: Calculating the node carbon emissions of each node in the distribution network according to the node carbon potential matrix and the load distribution matrix includes: Calculating the total node load of each node in the distribution network according to the load distribution matrix; According to the following formula, a node carbon emission matrix of each node in the distribution network is constructed: AND N =[and N1 ,...,And NN ] T ; in, is the node carbon emission matrix composed of the node carbon emission of each node in the distribution network, P′ L is the node load matrix formed according to the total load of the node, E N is the node carbon potential matrix, e Ni is the node carbon potential of the ith node in the distribution network; The node carbon emissions of each node in the distribution network are determined according to the node carbon emissions matrix.

5. The method for evaluating a scheduling scheme based on node carbon emissions according to claim 4, wherein: The generation of the power dispatching plan to be evaluated includes: Obtaining performance parameters of each of the distributed power sources, operating cost parameters of the distribution network, and carbon emission cost parameters; wherein the operating cost parameters include: the power generation cost per unit output power of the source-side unit and the distributed power source; the carbon emission cost parameters include: the carbon emission cost per unit carbon emission generated by the source-side unit and the distributed power source; Constructing an objective function with cost minimization as the goal based on the operating cost parameters and the carbon emission cost parameters; Constructing a power balance constraint condition based on the load distribution matrix, and constructing a performance constraint condition based on the performance parameter; Under the power balance constraint condition and the performance constraint condition, the objective function is solved to generate the power dispatching plan to be evaluated.

6. A scheduling scheme evaluation device based on node carbon emissions, characterized in that: include: A data acquisition module is configured to acquire the topology of the distribution network, the load distribution matrix, and scheme data of the power dispatch scheme to be evaluated; wherein the scheme data includes: the first output power of the source-side unit in the distribution network, the second output power of the distributed power source provided at each target node in the distribution network, and the total carbon emissions of the source-side unit and all distributed power sources; a structure analysis module, configured to construct, based on the topological structure, a unit connection matrix for characterizing the connection structure of each target node in the distribution network, and a node connection matrix for characterizing the connection structure of all nodes in the distribution network; a power flow analysis module, configured to determine, based on the node connection matrix, the unit connection matrix, and the scheme data, a branch power flow distribution matrix for characterizing the power flow distribution of the first output power and a unit power flow distribution matrix for characterizing the power flow distribution of the second output power; a carbon potential calculation module, configured to integrate the unit power flow distribution matrix and the branch power flow distribution matrix, calculate the active power flowing through each node in the distribution network, and generate a node carbon potential matrix for characterizing the carbon emission flow direction of each node based on the active power; a carbon emission calculation module, configured to calculate the node carbon emission of each node in the distribution network according to the node carbon potential matrix and the load distribution matrix; The scheme evaluation module is used to compare the total power generation carbon emissions and the sum of the carbon emissions of several nodes with a preset carbon emission threshold to determine the carbon emission evaluation result of the power dispatch scheme to be evaluated.

7. The scheduling scheme evaluation device based on node carbon emissions according to claim 6, characterized in that: The carbon potential calculation module generates a node carbon potential matrix for characterizing the carbon emission flow direction of each node based on the active power, including: Obtaining a preset carbon emission intensity of each of the distributed power sources; Constructing a node active flux matrix according to the active power; A node carbon potential matrix for characterizing the carbon emission direction of each node is generated according to the carbon emission intensity, the node active power flux matrix, the unit power flow distribution matrix, and the branch power flow distribution matrix.

8. The scheduling scheme evaluation device based on node carbon emissions according to claim 7, characterized in that: The carbon potential calculation module generates a node carbon potential matrix for characterizing the carbon emission direction of each node according to the carbon emission intensity, the node active flux matrix, the unit power flow distribution matrix, and the branch power flow distribution matrix, including: The node carbon potential matrix used to characterize the carbon emission flow direction of each node is generated according to the following formula: Among them, E N is the node carbon potential matrix, P B is the branch power flow distribution matrix, P G is the power flow distribution matrix of the unit, P N is the node active flux matrix, E G is the carbon emission intensity matrix constructed by the carbon emission intensity of all distributed power sources, e Gk is the carbon emission intensity of the kth distributed generation unit.

9. A terminal device, characterized in that: The method comprises a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, the method for evaluating a scheduling scheme based on node carbon emissions as described in any one of claims 1 to 5 is implemented.

10. A computer-readable storage medium, characterized in that include: A stored computer program, wherein when the computer program is executed, the device where the computer-readable storage medium is located is controlled to execute a scheduling scheme evaluation method based on node carbon emissions according to any one of claims 1 to 5.

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