Power distribution network area demand response capability evaluation method and system

Abstract

The invention belongs to the technical field of power systems, and discloses a power distribution network area demand response capability evaluation method and system, and the method comprises the steps: obtaining the current operation state of a power distribution network, and determining the type of the operation state of the power distribution network according to the current operation state of the power distribution network; determining a demand response potential evaluation index of the power distribution network according to the operation state category of the power distribution network; calculating an index score of each demand response potential evaluation index of each transformer area; according to the demand response potential evaluation index and the index score of the current time period, calculating a demand response potential comprehensive score of each transformer area; and according to the demand response potential comprehensive score of each transformer area of the power distribution network in the current time period, grading the transformer area demand response potential to obtain a demand response potential grading evaluation result. The potential and capability of participating in demand response of the power distribution network in the novel power system are rapidly enhanced, the method can be applied to the field of power systems, and the efficiency and scientificity of demand response scheduling decision making of the power distribution network in the power system are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of power systems, and in particular to a method and system for evaluating demand response capability of a distribution network area. Background Art

[0002] With the large-scale access of new source-load equipment such as photovoltaics and energy storage to the distribution network, it has become possible to dispatch power generation and consumption entities in the distribution network to participate in demand response, smooth out system load fluctuations, and improve system operation levels. Most new source-load equipment such as photovoltaics and energy storage are installed in distribution networks in counties and townships. At present, the dispatching and management model of distribution networks in counties and townships is still relatively traditional, making it difficult to achieve efficient use of demand response resources such as energy storage. At the same time, it is difficult for the distribution network to evaluate and classify the resource capacity and adjustable capacity of each substation. When conducting demand response dispatching, it is impossible to accurately exert the adjustable capacity of substations with higher demand response capabilities, which seriously restricts the overall efficiency of the dispatching and operation of the distribution network.

[0003] At present, there have been studies on the analysis of the capacity and adjustable capacity of demand response resources in distribution network substations. The common method is to analyze the operating characteristics of photovoltaic, energy storage and other equipment, and use the adjustable capacity of the equipment as an important attribute of the demand response resource to characterize and aggregate the demand response level of the substation. However, the evaluation of demand response resources in the substation is mostly limited to the operation analysis of key equipment, and less consideration is given to the impact of other power generation and consumption entities in the substation on the substation's participation in demand response. At the same time, there is a lack of comprehensive dynamic analysis methods for the adjustable capacity of demand response in distribution network substations, which makes it difficult to achieve efficient demand response scheduling in the distribution network, and even affects the power supply operation level in the distribution network while performing demand response scheduling.

[0004] Against the backdrop of gradually achieving the dual carbon goals, new source-load equipment such as photovoltaics and energy storage are increasing year by year, and users' requirements for high-quality power supply are gradually increasing. If a comprehensive and dynamic assessment is not conducted on the adjustable demand response capabilities of each substation in the distribution network, the ability of the substations in the distribution network to participate in demand response will be severely limited, restricting the high-quality development of the distribution network of the new power system. Summary of the invention

[0005] The embodiments of the present invention provide a method and system for evaluating the demand response capability of a distribution network area to solve the above-mentioned technical problems in the prior art.

[0006] In order to have a basic understanding of some aspects of the disclosed embodiments, a brief summary is given below. This summary is not intended to be a general review, nor is it intended to identify key / important components or to delineate the scope of protection of these embodiments. Its only purpose is to present some concepts in a simple form as a preface to the detailed description that follows.

[0007] According to a first aspect of an embodiment of the present invention, a method for evaluating demand response capability of a distribution network area is provided.

[0008] In one embodiment, the distribution network area demand response capability evaluation method includes:

[0009] Obtaining the current operating state of the distribution network, and determining the operating state category of the distribution network according to the current operating state of the distribution network;

[0010] According to the distribution network operation status category, dynamic classification index classification processing is performed to determine the demand response potential evaluation index of the distribution network;

[0011] Calculate the index scores of each demand response potential evaluation index of each substation; and calculate the comprehensive score of demand response potential of each substation based on the demand response potential evaluation index and index score of the current period;

[0012] According to the comprehensive score of demand response potential of each substation in the distribution network during the current period, the demand response potential of the substation is graded to obtain the demand response potential graded evaluation result.

[0013] In one embodiment, the distribution network operating status category includes: a low demand response requirement operating status category and a high demand response requirement operating status category.

[0014] In one embodiment, the judgment formula of the distribution network operation status category is:

[0015]

[0016] D DR =D DR,L +D DR,PV +D DR,ES

[0017] D DR,L =P D,L / P D,S

[0018] D DR,PV =P D,PV / P D,PV,S

[0019] D DR,ES =SOC D,ES / SOC D,ES,S

[0020] Where D P Indicates the operating status of the distribution network; D P,L Indicates the operating state of the distribution network with low demand response requirements; D P,H Indicates the operating state of the distribution network with high demand response requirements; D DRIndicates the distribution network operation demand response requirement parameter index value; D DR,S Indicates the distribution network demand response requirement operation state division limit; D DR,L Indicates the value of the load-related sub-item index of the distribution network operation demand response parameter; D DR,PV Indicates the value of the photovoltaic-related sub-item index of the distribution network operation demand response parameter; D DR,ES Indicates the value of the energy storage related sub-item index of the distribution network operation demand response parameter; P D,L Represents the total load power in the distribution network; P D,S Represents the total load capacity in the distribution network; P D,PV Represents the photovoltaic output in the distribution network; P D,PV,S Represents the total installed capacity of photovoltaic power in the distribution network; SOC D,ES Indicates the total charge level of energy storage equipment in the distribution network; SOC D,ES,S Indicates the upper limit of the charge level of the energy storage equipment in the distribution network.

[0021] In one embodiment, when the distribution network operating state category is a low demand response requirement operating state category, the demand response potential evaluation index includes:

[0022] Substation terminal energy self-sufficiency rate index, substation net load curve fluctuation index, substation voltage deviation index, substation demand response capacity index and substation key load proportion index.

[0023] In one embodiment, when the distribution network operating state category is a high demand response requirement operating state category, the demand response potential evaluation index includes:

[0024] Substation terminal energy self-sufficiency rate index, substation voltage deviation index and substation demand response capacity index.

[0025] In one embodiment, the calculation formula of the demand response potential evaluation index includes:

[0026] m ES =P RE / (P RE +P LD )

[0027] m LW =1-[P ST -P ST,MIN / (P ST,MAX -P ST,MIN )]

[0028]

[0029] m VD =1-|V-((V MAX -V MIN) / 2)| / ((V MAX -V MIN ) / 2)

[0030] m DR =P DR -P DR,MIN / (P DR,MAX -P DR,MIN )

[0031] m LC =(P L,i -P LC ) / P L,i

[0032] In the formula, m ES It indicates the degree of self-sufficiency of electricity in the area, which is a scalar value between 0 and 1; P RE Indicates the renewable energy power generation in the current period; P LD Indicates the load power in the current period; m LW It indicates the fluctuation degree of the net load curve in the substation area, which is a scalar value between 0 and 1; ST Indicates the standard deviation of the load curve in the current period; P ST,MAX It represents the maximum value of the standard deviation of the load curves of all distribution network areas in the current period; P ST,MIN It represents the minimum value of the standard deviation of the load curves of all distribution network areas in the current period; P L,i Indicates the net load power in the substation at the sampling time of the current period; It represents the average net load power of all substations in the current period; n represents the number of sampling moments in the current period; m VD Indicates the degree of voltage deviation in the substation area, which is a scalar value between 0 and 1; V represents the voltage amplitude in the substation area during the current period; V MAX Indicates the maximum voltage amplitude of the substation in the system during the current period; V MIN Indicates the minimum voltage amplitude in the current period of the system; m DR Indicates the size of the demand response capacity in the substation area, which is a scalar value between 0 and 1; P DR represents the demand response capacity within the substation; P DR,MAX It represents the maximum value of the demand response capacity of all distribution network areas; P DR,MIN Indicates the minimum demand response capacity of all distribution network areas; m LC Indicates the proportion of key loads in the substation area, which is a scalar value between 0 and 1; P LC Indicates the power of key loads in the substation during the current period.

[0033] In one embodiment, the calculation formula of the demand response potential comprehensive score is:

[0034] mS =∑ i∈I m i

[0035] In the formula, m S represents the comprehensive potential of the area to participate in demand response in the current period; I represents the set of dynamic classification indicators selected in the current period; m i Represents the score of the selected demand response potential evaluation indicator.

[0036] In one embodiment, the formula for grading the demand response potential of the substation is:

[0037]

[0038]

[0039] m S,1 =0.25(m S,MAX -m S,MIN )

[0040] m S,2 =0.75(m S,MAX -m S,MIN )

[0041] Where, k represents the kth station; K A K represents the set of potential levels of demand response in Class A areas; B K represents the set of potential levels of demand response in Class B substations; C represents the set of demand response potential levels of Class C substations; the above sets are all subsets of the substation level set K in the system, and the demand response capability of the Class A demand response potential level set is less than that of the Class B demand response potential level set, and the demand response capability of the Class B demand response potential level set is less than that of the Class C demand response potential level set; m S,MIN Indicates the lowest comprehensive score of demand response potential of each substation in the system; m S,MAX Indicates the highest comprehensive score of demand response potential of each substation in the system; m S,1 、m S,2 Both represent the intermediate variables used in the demand response potential classification standard, where m S,MIN <m S,1 <m S,2 <m S,MAX ;m S,k It represents the comprehensive score of demand response potential of the kth substation in the system.

[0042] According to a second aspect of an embodiment of the present invention, a distribution network area demand response capability assessment system is provided.

[0043] In one embodiment, the distribution network area demand response capability assessment system includes:

[0044] A status category judgment module is used to obtain the current operating status of the distribution network and determine the operating status category of the distribution network according to the current operating status of the distribution network;

[0045] An evaluation index determination module is used to perform dynamic classification index classification processing according to the distribution network operation status category to determine the demand response potential evaluation index of the distribution network;

[0046] The index score calculation module is used to calculate the index scores of various demand response potential evaluation indicators of each substation; and calculate the comprehensive score of demand response potential of each substation based on the demand response potential evaluation indicators and index scores of the current period;

[0047] The capability grading assessment module is used to grade the demand response potential of each distribution network substation according to the comprehensive score of the demand response potential of each substation in the current period, and obtain the demand response potential grading assessment result.

[0048] In one embodiment, the distribution network operating status category includes: a low demand response requirement operating status category and a high demand response requirement operating status category.

[0049] In one embodiment, the judgment formula of the distribution network operation status category is:

[0050]

[0051] D DR =D DR,L +D DR,PV +D DR,ES

[0052] D DR,L =P D,L / P D,S

[0053] D DR,PV =P D,PV / P D,PV,S

[0054] D DR,ES =SOC D,ES / SOC D,ES,S

[0055] Where D P Indicates the operating status of the distribution network; D P,L Indicates the operating state of the distribution network with low demand response requirements; D P,H Indicates the operating state of the distribution network with high demand response requirements; D DR Indicates the distribution network operation demand response requirement parameter index value; DDR,S Indicates the distribution network demand response requirement operation state division limit; D DR,L Indicates the value of the load-related sub-item index of the distribution network operation demand response parameter; D DR,PV Indicates the value of the photovoltaic-related sub-item index of the distribution network operation demand response parameter; D DR,ES Indicates the value of the energy storage related sub-item index of the distribution network operation demand response parameter; P D,L Represents the total load power in the distribution network; P D,S Represents the total load capacity in the distribution network; P D,PV Represents the photovoltaic output in the distribution network; P D,PV,S Represents the total installed capacity of photovoltaic power in the distribution network; SOC D,ES Indicates the total charge level of energy storage equipment in the distribution network; SOC D,ES,S Indicates the upper limit of the charge level of the energy storage equipment in the distribution network.

[0056] In one embodiment, when the distribution network operating state category is a low demand response requirement operating state category, the demand response potential evaluation index includes:

[0057] Substation terminal energy self-sufficiency rate index, substation net load curve fluctuation index, substation voltage deviation index, substation demand response capacity index and substation key load proportion index.

[0058] In one embodiment, when the distribution network operating state category is a high demand response requirement operating state category, the demand response potential evaluation index includes:

[0059] Substation terminal energy self-sufficiency rate index, substation voltage deviation index and substation demand response capacity index.

[0060] In one embodiment, the calculation formula of the demand response potential evaluation index includes:

[0061] m ES =P RE / (P RE +P LD )

[0062] m LW =1-[P ST -P ST,MIN / (P ST,MAX -P ST,MIN )]

[0063]

[0064] m VD =1-|V-((V MAX -V MIN ) / 2)| / ((V MAX -VMIN ) / 2)

[0065] m DR =P DR -P DR,MIN / (P DR,MAX -P DR,MIN )

[0066] m LC =(P L,i -P LC ) / P L,i

[0067] In the formula, m ES It indicates the degree of self-sufficiency of electricity in the area, which is a scalar value between 0 and 1; P RE Indicates the renewable energy power generation in the current period; P LD Indicates the load power in the current period; m LW It indicates the fluctuation degree of the net load curve in the substation area, which is a scalar value between 0 and 1; ST Indicates the standard deviation of the load curve in the current period; P ST,MAX It represents the maximum value of the standard deviation of the load curves of all distribution network areas in the current period; P ST,MIN It represents the minimum value of the standard deviation of the load curves of all distribution network areas in the current period; P L,i Indicates the net load power in the substation at the sampling time of the current period; It represents the average net load power of all substations in the current period; n represents the number of sampling times in the current period; m VD Indicates the degree of voltage deviation in the substation area, which is a scalar value between 0 and 1; V represents the voltage amplitude in the substation area during the current period; V MAX Indicates the maximum voltage amplitude of the substation in the system during the current period; V MIN Indicates the minimum voltage amplitude in the current period of the system; m DR Indicates the size of the demand response capacity in the substation area, which is a scalar value between 0 and 1; P DR represents the demand response capacity within the substation; P DR,MAX It represents the maximum demand response capacity of all distribution network areas; P DR,MIN Indicates the minimum demand response capacity of all distribution network areas; m LC Indicates the proportion of key loads in the substation area, which is a scalar value between 0 and 1; P LC Indicates the power of key loads in the substation during the current period.

[0068] In one embodiment, the calculation formula of the demand response potential comprehensive score is:

[0069] m S =∑ i∈I mi

[0070] In the formula, m S represents the comprehensive potential of the area to participate in demand response in the current period; I represents the set of dynamic classification indicators selected in the current period; m i Represents the score of the selected demand response potential evaluation indicator.

[0071] In one embodiment, the formula for grading the demand response potential of the substation is:

[0072]

[0073]

[0074] m S,1 =0.25(m S,MAX -m S,MIN )

[0075] m S,2 =0.75(m S,MAX -m S,MIN )

[0076] Where, k represents the kth station; K A K represents the set of potential levels of demand response in Class A areas; B K represents the set of potential levels of demand response in Class B substations; C represents the set of potential levels of demand response in the C-type substation area; the above sets are all subsets of the substation level set K in the system; m S,MIN Indicates the lowest comprehensive score of demand response potential of each substation in the system; m S,MAX Indicates the highest comprehensive score of demand response potential of each substation in the system; m S,1 、m S,2 Both represent the intermediate variables used in the demand response potential classification standard, where m S,MIN <m S,1 <m S,2 <m S,MAX ;m S,k It represents the comprehensive score of demand response potential of the kth substation in the system.

[0077] The technical solution provided by the embodiment of the present invention may have the following beneficial effects:

[0078] The present invention comprehensively considers the operating status, load conditions and strength of demand response demand of the distribution network and substation, and realizes the demand response potential evaluation and dynamic classification of the substation; and according to the comprehensive judgment criteria of the distribution network demand response operating status category and the selection criteria of the demand response potential evaluation index, the dynamic classification division indicators based on the demand response potential evaluation index are flexibly selected in combination with the operating status of the distribution network and the substation, thereby improving the applicability and flexibility of the demand response potential evaluation and dynamic classification methods under different differentiated operating conditions of the distribution network.

[0079] In addition, the present invention combines the operation status of the substation, based on the substation terminal energy self-sufficiency rate index, the substation net load curve fluctuation index, the substation voltage deviation index, the substation demand response capacity index, and the substation key load proportion index, a total of 5 demand response potential evaluation indicators, which can realize a multi-dimensional quantitative evaluation of the substation demand response potential. And combined with the comprehensive score of the demand response potential of each substation in the distribution network in the current period, the demand response potential classification evaluation result is obtained. The demand response potential of each substation in the distribution network is evaluated and dynamically graded, and the demand response potential of each substation is evaluated and dynamically graded with a comprehensive and quantitative rating method, which provides a decision-making basis for the dispatching substations in the distribution network to participate in demand response, thereby assisting in realizing efficient and standardized dispatching of each substation to participate in demand response.

[0080] The present invention solves the problem of lack of multi-dimensional, flexible and quantifiable potential evaluation method in the process of demand response characteristics of distribution network. It rapidly enhances the potential and ability of distribution network to participate in demand response in new power system, has a wide range of applications, can be applied to the field of power system, and improves the efficiency and scientificity of demand response dispatch decision of distribution network in power system.

[0081] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0082] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0083] Figure 1 It is a flow chart of a method for evaluating demand response capability of a distribution network area according to an exemplary embodiment;

[0084] Figure 2 is a structural block diagram of a distribution network area demand response capability evaluation system according to an exemplary embodiment;

[0085] Figure 3 is a schematic diagram of selecting criteria and differential selection indicators for evaluating demand response potential according to an exemplary embodiment;

[0086] Figure 4 is a schematic diagram showing a change range and significance of a demand response potential evaluation index score according to an exemplary embodiment;

[0087] Figure 5 is a schematic diagram of demand response potential classification standards and three categories according to an exemplary embodiment;

[0088] Figure 6 It is a schematic diagram showing the structure of a computer device according to an exemplary embodiment. DETAILED DESCRIPTION

[0089] The following description and accompanying drawings fully illustrate the specific embodiments of this article so that those skilled in the art can practice them. Parts and features of some embodiments may be included in or replace parts and features of other embodiments. The scope of the embodiments of this article includes the entire scope of the claims, as well as all available equivalents of the claims. Herein, the terms "first", "second", etc. are only used to distinguish one element from another, without requiring or implying any actual relationship or order between these elements. In fact, the first element can also be called the second element, and vice versa. Moreover, the terms "include", "comprise" or any other variant thereof are intended to cover non-exclusive inclusion, so that the structure, device or equipment including a series of elements includes not only those elements, but also other elements that are not explicitly listed, or also include elements inherent to such structure, device or equipment. In the absence of more restrictions, the elements defined by the sentence "including one..." do not exclude the existence of other identical elements in the structure, device or equipment including the elements. Each embodiment is described in a progressive manner herein, and each embodiment focuses on the differences from other embodiments, and the same and similar parts between the embodiments can be referred to each other.

[0090] The terms "longitudinal", "lateral", "upper", "lower", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc. in this document indicate the orientation or position relationship based on the orientation or position relationship shown in the drawings, and are only for the convenience of describing this document and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operate in a specific orientation, and therefore cannot be understood as a limitation on the present invention. In the description of this document, unless otherwise specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a mechanical connection or an electrical connection, it can also be the internal communication of two elements, it can be a direct connection, or it can be an indirect connection through an intermediate medium. For ordinary technicians in this field, the specific meanings of the above terms can be understood according to specific circumstances.

[0091] As used herein, the term "plurality" means two or more than two, unless otherwise specified.

[0092] In this document, the character " / " indicates that the preceding and following objects are in an "or" relationship. For example, A / B means: A or B.

[0093] In this article, the term "and / or" is a description of the association relationship between objects, indicating that three relationships may exist. For example, A and / or B means: A or B, or, A and B.

[0094] It should be understood that, although the various steps in the flow chart are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear description in this article, the execution of these steps is not strictly limited in order, and these steps can be executed in other orders. Moreover, at least a portion of the steps in the figure may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these sub-steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.

[0095] Each module in the device or system of the present application can be implemented in whole or in part by software, hardware, or a combination thereof. The above modules can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute operations corresponding to the above modules.

[0096] In the absence of conflict, the embodiments of the present invention and the features of the embodiments may be combined with each other.

[0097] Figure 1An embodiment of a method for evaluating demand response capability of a distribution network area according to the present invention is shown.

[0098] In this optional embodiment, the distribution network area demand response capability evaluation method includes:

[0099] Step S101, obtaining the current operating state of the distribution network, and determining the operating state category of the distribution network according to the current operating state of the distribution network;

[0100] Step S103, performing dynamic classification index classification processing according to the distribution network operation status category to determine the demand response potential evaluation index of the distribution network;

[0101] Step S105, calculating the index scores of various demand response potential evaluation indicators of each substation; and calculating the comprehensive score of demand response potential of each substation based on the demand response potential evaluation indicators and index scores of the current period;

[0102] Step S107, classifying the demand response potential of each substation according to the comprehensive score of the demand response potential of each substation in the distribution network during the current period, and obtaining a demand response potential classification evaluation result.

[0103] Figure 2 An embodiment of a distribution network area demand response capability evaluation system of the present invention is shown.

[0104] In this optional embodiment, the distribution network area demand response capability evaluation system includes:

[0105] The state category judgment module 201 is used to obtain the current operation state of the distribution network and determine the operation state category of the distribution network according to the current operation state of the distribution network;

[0106] An evaluation index determination module 203 is used to perform dynamic classification index classification processing according to the distribution network operation status category to determine the demand response potential evaluation index of the distribution network;

[0107] The index score calculation module 205 is used to calculate the index scores of various demand response potential evaluation indicators of each substation; and calculate the comprehensive score of demand response potential of each substation based on the demand response potential evaluation indicators and index scores of the current period;

[0108] The capability grading evaluation module 207 is used to grade the demand response potential of each distribution network substation according to the comprehensive score of the demand response potential of each substation in the current period, and obtain the demand response potential grading evaluation result.

[0109] In specific applications, the distribution network has different requirements for the urgency and response intensity of each substation's participation in demand response under different operating conditions. Based on the comprehensive judgment criteria for distribution network demand response, the multi-dimensional operating status of the distribution network is comprehensively considered to clearly characterize the operating status categories that characterize the distribution network response requirements.

[0110] Specifically, the operating status categories of the distribution network are divided into the following two operating status categories: operating status categories with low demand response requirements and operating status categories with high demand response requirements. When the distribution network is in an operating state with high demand response requirements, each substation needs to provide demand response support as much as possible. When the distribution network is in an operating state with low demand response requirements, it is necessary to take into account the substation's operation and supply guarantee capabilities while dispatching each substation to participate in demand response.

[0111] The judgment formula of the distribution network operation status category is:

[0112]

[0113] Where: D P D is the operating status of the distribution network; P,L The distribution network operates in an operating state with low demand response requirements; D P,H The distribution network operates in a state with high demand response requirements; D DR D is the parameter index value required for distribution network operation demand response; DR,S The limits of the operating states required for demand response of the distribution network are divided.

[0114] The above distribution network operation demand response requires parameter index value D DR The calculation method is:

[0115] D DR =D DR,L +D DR,PV +D DR,ES

[0116] Where: D DR,L D is the value of the load-related sub-item index of the distribution network operation demand response parameter; DR,PV D is the value of the photovoltaic related sub-item index of the distribution network operation demand response parameter; DR,ES It is the value of the sub-indicator related to energy storage of distribution network operation demand response parameters.

[0117] Above D DR,L , D DR,PV and D DR,ES The numerical calculation method of the three sub-indicators is as follows:

[0118] D DR,L =P D,L / P D,S

[0119] D DR,PV =P D,PV / P D,PV,S

[0120] D DR,ES =SOC D,ES / SOC D,ES,S

[0121] Where: P D,L is the total load power in the distribution network; P D,S is the total load capacity in the distribution network; P D,PV is the photovoltaic power output in the distribution network; P D,PV,S is the total installed capacity of photovoltaic power in the distribution network; SOC D,ES is the total charge level of energy storage equipment in the distribution network; SOC D,ES,S The upper limit of the charge level of the energy storage equipment in the distribution network

[0122] In addition, in specific applications, for the selection of demand response potential evaluation indicators, it is to differentiate the dynamic classification indicators under different operating status categories of the distribution network, such as Figure 3 Dynamic grading index selection criteria and corresponding selection decisions:

[0123] Case 1: The distribution network is in an operating state with high demand response requirements. The following three indicators are selected for dynamic grading: substation terminal energy self-sufficiency rate indicator, substation voltage deviation indicator, and substation demand response capacity indicator.

[0124] Case 2: The distribution network is in an operating state with low demand response requirements. The following five indicators are selected for dynamic grading: substation terminal energy self-sufficiency rate indicator, substation net load curve fluctuation indicator, substation voltage deviation indicator, substation demand response capacity indicator, and substation key load proportion indicator.

[0125] When calculating each demand response potential evaluation index of each substation in the distribution network and obtaining each demand response potential evaluation index score of each substation, the calculation can be performed according to the following calculation method, specifically:

[0126] 1) According to the renewable energy power generation and power load information in the substation during the current period, the terminal energy self-sufficiency rate index score of the substation is calculated and obtained.

[0127] The score of the terminal energy self-sufficiency rate index in the area m ES The calculation method is:

[0128] m ES =P RE / (P RE +P LD )

[0129] Where: P RE P is the renewable energy power generation in the area during this period; LD is the load power in the substation during this period. m ES It indicates the degree of self-sufficiency of electricity in the substation area, which is a scalar value between 0 and 1. The larger the value, the higher the degree of self-sufficiency of electricity in the substation area and the stronger the ability to participate in demand response. The range of its value and its corresponding meaning are as follows: Figure 4 As shown; the smaller the value, the lower the degree of electricity self-sufficiency in the substation area and the weaker the ability to participate in demand response.

[0130] 2) According to the net load curve fluctuation information in the substation during this period, the net load curve fluctuation index score of the substation is calculated and obtained.

[0131] Net load curve fluctuation index score m LW The calculation method is:

[0132] m LW =1-[P ST -P ST,MIN / (P ST,MAX -P ST,MIN )]

[0133] Where: P ST is the standard deviation of the load curve in the substation during this period; ST,MAX is the maximum value of the standard deviation of the load curves of all distribution network areas during this period; ST,MIN It is the minimum value of the standard deviation of the load curves of all distribution network substations in this period.

[0134] Standard deviation P of the net load curve of the substation ST The calculation method is:

[0135]

[0136] Where: P L,i Indicates the net load power in the substation at the sampling time of the current period; It represents the average net load power of all substations in the distribution network in the current period; n is the number of sampling moments in this period; m LW It indicates the fluctuation degree of the net load curve in the substation, which is a scalar value between 0 and 1. The larger the value, the lower the fluctuation degree of the net load curve in the substation, and the stronger the ability to participate in demand response; the smaller the value, the higher the fluctuation degree of the net load curve in the substation, and the weaker the ability to participate in demand response.

[0137] 3) Based on the voltage deviation rate information of the substation during this period, calculate and obtain the substation voltage deviation index score.

[0138] Substation voltage deviation index score m VD The calculation method is:

[0139] m VD =1-|V-((V MAX -V MIN ) / 2)| / ((V MAX -V MIN ) / 2)

[0140] Where: V is the voltage amplitude in the substation during this period; V MAX is the maximum voltage amplitude of the substation in the system during this period; V MIN is the minimum voltage amplitude of the substation in the system during this period; m VD It indicates the degree of voltage deviation in the substation, which is a scalar value between 0 and 1. The larger the value, the lower the voltage deviation in the substation and the stronger the ability to participate in demand response; the smaller the value, the higher the voltage deviation in the substation and the weaker the ability to participate in demand response.

[0141] 4) Based on the demand response capacity information received in the substation during this period, calculate and obtain the substation demand response capacity index score.

[0142] Substation demand response capacity index score m DR The calculation method is:

[0143] m DR =P DR -P DR,MIN / (P DR,MAX -P DR,MIN )

[0144] Where: P DR is the demand response capacity in the area; P DR,MAX is the maximum demand response capacity of all distribution network areas; P DR,MIN is the minimum demand response capacity of all distribution network areas; m DR It indicates the size of the demand response capacity in the substation, which is a scalar value between 0 and 1. The larger the value, the higher the demand response capacity in the substation and the stronger the ability to participate in demand response; the smaller the value, the lower the demand response capacity in the substation and the weaker the ability to participate in demand response.

[0145] 5) Based on the information on the types of loads connected to the substation during this period, calculate and obtain the score of the key load proportion index of the substation.

[0146] The calculation method for the score of the key load proportion index of the substation area is as follows:

[0147] m LC =(P L,i -P LC ) / P L,i

[0148] Where: P LC is the power of the key load in the substation during this period; PL,i Indicates the net load power in the substation at the sampling time of the current period; m LC Indicates the proportion of key loads in the substation area, which is a scalar value between 0 and 1. The key loads cover: hospitals, municipal service agencies, and nursing homes. LC The larger the value, the lower the key load in the substation area and the stronger the demand response capability; m LC The smaller the value, the higher the key load in the substation and the lower the ability to participate in demand response.

[0149] In addition, when the demand response potential evaluation index and the index score results are selected for the current period to calculate and obtain the comprehensive score of the demand response potential of each substation, the comprehensive score of the demand response potential m S The calculation method is as follows:

[0150] m S =∑ i∈I m i

[0151] Where: I is the set of dynamic grading indicators selected for the current period; m i is the score of the selected indicator; m S It indicates the comprehensive potential of the substation to participate in demand response in the current period. The larger the value, the stronger the comprehensive potential of demand response in the substation; the smaller the value, the weaker the comprehensive potential of demand response in the substation.

[0152] When calculating the comprehensive score of the demand response potential of each substation in the current period of the distribution network, the demand response potential of the substation is graded according to the dynamic classification standard, and the demand response potential classification evaluation results are obtained. Since the operating status of each substation in the distribution network is different from the potential for participating in demand response, in order to achieve intensive and standardized dispatch of demand response in each substation, the demand response potential is graded and evaluated according to the characteristics of each substation. The demand response potential classification standard is as follows:

[0153]

[0154] in:

[0155]

[0156] The calculation method of the intermediate variables in the standard expression of demand response potential classification is:

[0157] m S,1 =0.25(m S,MAX -m S,MIN )

[0158] m S,2 =0.75(m S,MAX -m S,MIN )

[0159] Where: k is the kth station; K A K is the demand response potential level set of Class A substations; B K is the demand response potential level set of Class B substations; C is the set of potential levels of demand response in the C-type substation area; the above sets are all subsets of the substation level set K in the system; m S,MIN The lowest comprehensive score of demand response potential of each substation in the system; m S,MAX The highest score of the demand response potential of each substation in the system; m S,1 、m S,2 Both represent the intermediate variables used in the demand response potential classification standard, where m S,MIN <m S,1 <m S,2 <m S,MAX ;m S,k It represents the comprehensive score of demand response potential of the kth substation in the system.

[0160] The demand response potential classification standard and the three-category classification diagram are as follows: Figure 5 Among the three levels, the demand response capability of the A-type area demand response potential level is the weakest, the demand response capability of the B-type area demand response potential level is relatively strong, and the demand response capability of the C-type area demand response potential level is the strongest.

[0161] Figure 6 An embodiment of a computer device of the present invention is shown. A computer device is provided, which may be a server, and includes a processor, a memory, and a network interface connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store static information and dynamic information data. The network interface of the computer device is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, the steps in the above method embodiment are implemented.

[0162] Those skilled in the art will understand that Figure 6 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present invention, and does not constitute a limitation on the computer device to which the solution of the present invention is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0163] In addition, the present invention also provides a computer device, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above method embodiment when executing the computer program.

[0164] In addition, the present invention further provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps in the above method embodiment are implemented.

[0165] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided by the present invention can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory or optical memory, etc. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0166] The present invention is not limited to the structures which have been described above and shown in the drawings, and various modifications and changes may be made without departing from the scope thereof. The scope of the present invention is limited only by the appended claims.

Claims

1. A method for evaluating the demand response capability of a distribution network area, characterized in that: include: Obtaining the current operating state of the distribution network, and determining the operating state category of the distribution network according to the current operating state of the distribution network; According to the distribution network operation status category, dynamic classification index classification processing is performed to determine the demand response potential evaluation index of the distribution network; Calculate the index scores of each demand response potential assessment index of each substation; And according to the demand response potential evaluation index and index score of the current period, calculate the comprehensive score of demand response potential of each substation; According to the comprehensive score of demand response potential of each substation in the distribution network during the current period, the demand response potential of the substation is graded to obtain the demand response potential graded evaluation result.

2. The method for evaluating the demand response capability of a distribution network area according to claim 1, characterized in that: The distribution network operation status categories include: a low demand response requirement operation status category and a high demand response requirement operation status category.

3. The method for evaluating the demand response capability of a distribution network area according to claim 2, characterized in that: The judgment formula of the distribution network operation status category is: D DR =D DR,L +D DR,PV +D DR,ES D DR,L =P D,L / P D,S D DR,PV =P D,PV / P D,PV,S D DR,ES =SOC D,ES / SOC D,ES,S Where D P Indicates the operating status of the distribution network; D P,L Indicates the operating state of the distribution network with low demand response requirements; D P,H Indicates the operating state of the distribution network with high demand response requirements; D DR Indicates the distribution network operation demand response requirement parameter index value; D DRS Indicates the distribution network demand response requirement operation state division limit; D DR,L Indicates the value of the load-related sub-item index of the distribution network operation demand response parameter; D DR,PV Indicates the value of the photovoltaic-related sub-item index of the distribution network operation demand response parameter; D DR,ES Indicates the value of the energy storage related sub-item index of the distribution network operation demand response parameter; P D,L Represents the total load power in the distribution network; P D,S Represents the total load capacity in the distribution network; P D,PV Represents the photovoltaic output in the distribution network; P D,PV,S Represents the total installed capacity of photovoltaic power in the distribution network; SOC D,ES Indicates the total charge level of energy storage equipment in the distribution network; SOC D,ES,S Indicates the upper limit of the charge level of the energy storage equipment in the distribution network.

4. The method for evaluating the demand response capability of a distribution network area according to claim 3, characterized in that: When the distribution network operation status category is a low demand response requirement operation status category, the demand response potential evaluation indicators include: Substation terminal energy self-sufficiency rate index, substation net load curve fluctuation index, substation voltage deviation index, substation demand response capacity index and substation key load proportion index.

5. The method for evaluating the demand response capability of a distribution network area according to claim 4, characterized in that: When the distribution network operation status category is a high demand response requirement operation status category, the demand response potential evaluation indicators include: Substation terminal energy self-sufficiency rate index, substation voltage deviation index and substation demand response capacity index.

6. The method for evaluating the demand response capability of a distribution network area according to claim 5, characterized in that: The calculation formula of the demand response potential evaluation index is include: m ES =P RE / (P RE +P LD ) m LW =1-[P ST -P ST,MIN / (P ST,MAX -P ST,MIN )] m VD =1-|V-((V MAX -V MIN ) / 2)| / ((V MAX -V MIN ) / 2) m DR =P DR -P DR,MIN / (P DR,MAX -P DR,MIN ) m LC =(P L,i -P LC ) / P L,i In the formula, m ES It indicates the degree of self-sufficiency of electricity in the area, which is a scalar value between 0 and 1; P RE Indicates the renewable energy power generation in the current period; P LD Indicates the load power in the current period; m LW It indicates the fluctuation degree of the net load curve in the substation area, which is a scalar value between 0 and 1; ST Indicates the standard deviation of the load curve in the current period; P ST,MAX It represents the maximum value of the standard deviation of the load curves of all distribution network areas in the current period; P ST,MIN It represents the minimum value of the standard deviation of the load curves of all distribution network areas in the current period; P L,i Indicates the net load power in the substation at the sampling time of the current period; It represents the average net load power of all substations in the current period; n represents the number of sampling moments in the current period; m VD Indicates the degree of voltage deviation in the substation area, which is a scalar value between 0 and 1; V represents the voltage amplitude in the substation area during the current period; V MAX Indicates the maximum voltage amplitude of the substation in the system during the current period; V MIN Indicates the minimum voltage amplitude in the current period of the system; m DR Indicates the size of the demand response capacity in the substation area, which is a scalar value between 0 and 1; P DR represents the demand response capacity within the substation; P DR,MAX It represents the maximum value of the demand response capacity of all distribution network areas; P DR,MIN Indicates the minimum demand response capacity of all distribution network areas; m LC Indicates the proportion of key loads in the substation area, which is a scalar value between 0 and 1; P LC Indicates the power of key loads in the substation during the current period.

7. The method for evaluating the demand response capability of a distribution network area according to claim 6, characterized in that: The calculation formula for the demand response potential comprehensive score is: m S =∑ i∈I m i In the formula, m S It indicates the comprehensive potential of the area to participate in demand response in the current period; I represents the set of dynamic grading indicators selected in the current period; m i Represents the score of the selected demand response potential evaluation indicator.

8. The method for evaluating the demand response capability of a distribution network area according to claim 7, characterized in that: The formula for grading the demand response potential of the substation is: m S,1 =0.25(m S,MAX -m S,MIN ) m S,2 =0.75(m S,MAX -m S,MIN ) Where, k represents the kth station; K A K represents the set of potential levels of demand response in Class A areas; B K represents the set of potential levels of demand response in Class B substations; C represents the set of demand response potential levels of Class C substations; the above sets are all subsets of the substation level set K in the system, and the demand response capability of the Class A demand response potential level set is less than that of the Class B demand response potential level set, and the demand response capability of the Class B demand response potential level set is less than that of the Class C demand response potential level set; m S,MIN Indicates the lowest comprehensive score of demand response potential of each substation in the system; m S,MAX Indicates the highest comprehensive score of demand response potential of each substation in the system; m S,1 、m S,2 Both represent the intermediate variables used in the demand response potential classification standard, where m S,MIN <m S,1 <m S,2 <m S,MAX ;m S,k It represents the comprehensive score of demand response potential of the kth substation in the system.

9. A distribution network area demand response capability evaluation system, characterized in that: include: A status category judgment module is used to obtain the current operating status of the distribution network and determine the operating status category of the distribution network according to the current operating status of the distribution network; An evaluation index determination module is used to perform dynamic classification index classification processing according to the distribution network operation status category to determine the demand response potential evaluation index of the distribution network; An indicator score calculation module is used to calculate the indicator scores of various demand response potential evaluation indicators of each substation; And according to the demand response potential evaluation index and index score of the current period, calculate the comprehensive score of demand response potential of each substation; The capability grading assessment module is used to grade the demand response potential of each distribution network substation according to the comprehensive score of the demand response potential of each substation in the current period, and obtain the demand response potential grading assessment result.

10. The distribution network area demand response capability evaluation system according to claim 9, characterized in that: The distribution network operation status categories include: a low demand response requirement operation status category and a high demand response requirement operation status category.

11. The distribution network area demand response capability evaluation system according to claim 10, characterized in that: The judgment formula of the distribution network operation status category is: D DR =D DR,L +D DR,PV +D DR,ES D DR,L =P D,L / P D,S D DR,PV =P D,PV / P D,PV,S D DR,ES =SOC D,ES / SOC D,ES,S Where D P Indicates the operating status of the distribution network; D P,L Indicates the operating state of the distribution network with low demand response requirements; D P,H Indicates the operating state of the distribution network with high demand response requirements; D DR Indicates the distribution network operation demand response requirement parameter index value; D DR,S Indicates the distribution network demand response requirement operation state division limit; D DR,L Indicates the value of the load-related sub-item index of the distribution network operation demand response parameter; D DR,PV Indicates the value of the photovoltaic-related sub-item index of the distribution network operation demand response parameter; D DR,ES Indicates the value of the energy storage related sub-item index of the distribution network operation demand response parameter; P D,L Represents the total load power in the distribution network; P D,S Represents the total load capacity in the distribution network; P D,PV Represents the photovoltaic output in the distribution network; P D,PV,S Represents the total installed capacity of photovoltaic power in the distribution network; SOC D,ES Indicates the total charge level of energy storage equipment in the distribution network; SOC D,ES,S Indicates the upper limit of the charge level of the energy storage equipment in the distribution network.

12. The distribution network area demand response capability evaluation system according to claim 11, characterized in that: When the distribution network operation status category is a low demand response requirement operation status category, the demand response potential evaluation indicators include: Substation terminal energy self-sufficiency rate index, substation net load curve fluctuation index, substation voltage deviation index, substation demand response capacity index and substation key load proportion index.

13. The distribution network area demand response capability evaluation system according to claim 12, characterized in that: When the distribution network operation status category is a high demand response requirement operation status category, the demand response potential evaluation indicators include: Substation terminal energy self-sufficiency rate index, substation voltage deviation index and substation demand response capacity index.

14. The distribution network area demand response capability evaluation system according to claim 13, characterized in that: The calculation formula of the demand response potential evaluation index is include: m ES =P RE / (P RE +P LD ) m LW =1-[P ST -P ST,MIN / (P ST,MAX -P ST,MIN )] m VD =1-|V-((V MAX -V MIN ) / 2)| / ((V MAX -V MIN ) / 2) m DR =P DR -P DR,MIN / (P DR,MAX -P DR,MIN ) m LC =(P L,i -P LC ) / P L,i In the formula, m ES It indicates the degree of self-sufficiency of electricity in the area, which is a scalar value between 0 and 1; P RE Indicates the renewable energy power generation in the current period; P LD Indicates the load power in the current period; m LW It indicates the fluctuation degree of the net load curve in the substation area, which is a scalar value between 0 and 1; ST Indicates the standard deviation of the load curve in the current period; P ST,MAX It represents the maximum value of the standard deviation of the load curves of all distribution network areas in the current period; P ST,MIN It represents the minimum value of the standard deviation of the load curves of all distribution network areas in the current period; P L,i Indicates the net load power in the substation at the sampling time of the current period; P L It represents the average net load power of all substations in the current period; n represents the number of sampling moments in the current period; m VD Indicates the degree of voltage deviation in the substation area, which is a scalar value between 0 and 1; V represents the voltage amplitude in the substation area during the current period; V MAX Indicates the maximum voltage amplitude of the substation in the system during the current period; V MIN Indicates the minimum voltage amplitude in the current period of the system; m DR Indicates the size of the demand response capacity in the substation area, which is a scalar value between 0 and 1; P DR represents the demand response capacity within the substation; P DR,MAX It represents the maximum value of the demand response capacity of all distribution network areas; P DR,MIN Indicates the minimum demand response capacity of all distribution network areas; m LC Indicates the proportion of key loads in the substation area, which is a scalar value between 0 and 1; P LC Indicates the power of key loads in the substation during the current period.

15. The distribution network area demand response capability evaluation system according to claim 14, characterized in that: The calculation formula for the demand response potential comprehensive score is: m S =∑ i∈I m i In the formula, m S It indicates the comprehensive potential of the area to participate in demand response in the current period; I represents the set of dynamic grading indicators selected in the current period; m i Represents the score of the selected demand response potential evaluation indicator.

16. The distribution network area demand response capability evaluation system according to claim 15, characterized in that: The formula for grading the demand response potential of the substation is: m S,1 =0.25(m S,MAX -m S,MIN ) m S,2 =0.75(m S,MAX -m S,MIN ) Where, k represents the kth station; K A K represents the set of potential levels of demand response in Class A areas; B K represents the set of potential levels of demand response in Class B substations; C represents the set of potential levels of demand response in the C-type substation area; the above sets are all subsets of the substation level set K in the system; m S,MIN Indicates the lowest comprehensive score of demand response potential of each substation in the system; m S,MAX Indicates the highest comprehensive score of demand response potential of each substation in the system; m S,1 、m S,2 Both represent the intermediate variables used in the demand response potential classification standard, where m SMIN <m S1 <m S2 <m SMAX ;m S,k It represents the comprehensive score of demand response potential of the kth substation in the system.

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