A resource collaborative configuration method to improve the power supply reliability of important users

Abstract

The present invention provides a resource collaborative configuration method for improving the power supply reliability of important users, which belongs to the technical field of distribution network reliability assessment, including step S1, obtaining distribution network data and basic data of users with power consumption connection with the distribution network, and selecting important users of the distribution network; step S2, constructing a distribution network equipment fault state transfer model considering operation and inspection factors; step S3, comprehensively considering traffic conditions and resource abundance to construct a collaborative configuration and regulation model of mobile supply guarantee and operation and inspection resources; step S4, determining the power supply reliability of important users of the distribution network through the model constructed by S2 and S3. The present invention fully considers the demand of important users for high power supply reliability, and improves the differentiated power supply service level of the distribution network to important users through the method of collaborative configuration and regulation of mobile supply guarantee and operation and inspection resources, which can effectively improve user satisfaction.

Description

Technical Field

[0001] The present invention relates to the technical field of distribution network reliability assessment, and in particular to a resource collaborative configuration method for improving the power supply reliability of important users. Background Art

[0002] Safe and reliable power supply is very important for the country's economic development. Power supply reliability is defined as the ability to continuously meet the power needs of end users with the required quantity and quality, and is an important indicator for evaluating the service capacity of distribution networks. However, the high penetration rate of new energy, high degree of power electronics, and high degree of freedom in energy supply and use in the new power system have brought huge challenges to the reliable power supply of distribution networks.

[0003] As the "last mile" connecting end users, the distribution system usually operates in a radial manner. Compared with the transmission network, the distribution system is more susceptible to system failure events, and the distribution network operator is responsible for ensuring the reliability of power supply to users. However, according to the traditional method, the distribution network operator focuses more on improving the average power supply reliability of the entire distribution network. Under this method, users with high requirements for power supply reliability may not be able to obtain the required high reliability services, thereby reducing the service capacity of the distribution network operator.

[0004] In recent years, with the deepening of the informatization of new power systems, effective power inspection and operation and maintenance services have significantly improved the reliability of distribution networks. At the same time, the effect of flexible supply resources, mainly mobile emergency power supplies and repair personnel, on improving the high power supply reliability of important users of distribution networks has become more and more significant. Therefore, it is necessary to study a resource collaborative configuration method to improve the power supply reliability of important users. Summary of the invention

[0005] In view of the shortcomings of the above-mentioned existing distribution network power supply reliability improvement in terms of normalized reliable power supply and reliable emergency power supply after disasters, the present invention provides a resource collaborative configuration method for improving the power supply reliability of important users.

[0006] To achieve the above-mentioned object of the invention, the technical solution of the present invention is as follows:

[0007] The present invention provides a resource collaborative configuration method for improving the power supply reliability of important users, comprising:

[0008] Step S1, obtaining distribution network data and basic data of users who have electricity connection with the distribution network, and selecting important users of the distribution network;

[0009] Step S2, constructing a distribution network equipment fault state transfer model taking into account operation and inspection factors;

[0010] Step S3, comprehensively considering traffic conditions and resource abundance, and constructing a coordinated allocation and regulation model for mobile supply and inspection resources;

[0011] Step S4, based on the distribution network equipment fault state transfer model and the mobile supply guarantee and operation and inspection resource collaborative configuration and regulation model, determine the power supply reliability of important users of the distribution network.

[0012] Preferably, the distribution network data includes: distribution network topology, distribution network switch locations, transformer equipment locations, line models and lengths, parameters of mobile supply and inspection resources, and access locations and configurations;

[0013] The user basic data includes: the reference user's power demand, geographical location, industry type and requirements for power reliability.

[0014] Preferably, the step S2 comprises:

[0015] The risk state is added to the normal-fault two-state transfer model of the distribution network, and a normal-risk-fault three-state equipment fault state transfer model of the distribution network considering the operation and inspection factors is defined;

[0016] When a risk is detected in a device in the distribution network based on the three-state device fault state transition model, an operation and maintenance instruction is sent to the operation and maintenance end for the operation and maintenance team to perform operation and maintenance to restore the distribution network from the risky device to a normal state;

[0017] Among them, the three-state equipment fault state transition model P considering the operation and inspection factors is defined de ={A1,A2,A3,α,ρ e ,γ e ,λ e ,μ}, where A1, A2, and A3 represent the normal state, risk state, and fault state of the distribution network device respectively, and α represents the probability of equipment risk occurrence, that is, the number of occurrences of the risk state detected by the distribution network device e within the statistical time; ρ e represents the risk operation and maintenance success rate, that is, the number of times that the risk of distribution network equipment e is found and the operation and maintenance team is dispatched to successfully repair it within the statistical time; γ e is the probability of risk operation and maintenance failure, that is, the number of times that distribution network equipment e has a risk but the operation and maintenance team is not dispatched to successfully repair it during the statistical time; λ e is the final failure rate of distribution network equipment, that is, the average number of times that distribution network equipment e generates risks but no operation and maintenance team is dispatched to successfully perform operation and maintenance repairs; μ is the successful repair rate of the fault.

[0018] Preferably, the distribution network-transportation network coupling model is:

[0019]

[0020] V i (t) = V i,0 e -1.7w ;

[0021] Where: T i,m,n (t) represents the actual scheduling time of mobile supply and inspection resource i between nodes m and n; D m,n (t) represents the equivalent scheduling distance between the mobile supply and inspection resources of nodes m and n; V i (t) represents the actual dispatching speed of mobile supply and inspection resource i; D m,n,0 represents the actual traffic network length between nodes m and n; V i,0 is the dispatching speed of mobile supply and inspection resources under ideal conditions; w represents the traffic real-time coefficient of the traffic network under real-time conditions;

[0022] The deployment model of the mobile emergency power supply is:

[0023] ∑ m1∈M,p1∈P1 ∝ m1,p1 ≤N p1,m1 ;

[0024] ∑ m1∈M,p1∈P1 ∝ m1,p1 ≤N m1 ;

[0025] ∑ p1∈P1 ∝ m1,p1 =1;

[0026] Where: M represents the set of mobile emergency generators, mobile emergency energy storage and mobile emergency power supplies; P1 represents the site selection point set of mobile emergency power supplies in the transportation network; p1 represents the specific site selection point of mobile supply resources in the transportation network; ∝ m1,p1 is a Boolean variable, that is, whether the mobile emergency power supply m1 is deployed at the site p1, ∝ m1,p1 =1 represents that the mobile emergency power supply m1 is deployed at the site p1, ∝ m1,p1 =0 means that the mobile emergency power supply m1 is not deployed at the site p1; N p1,m1 Represents the upper limit of the number of mobile power sources that can be connected to a mobile supply resource site selection point; N m1 Represents the total number of mobile supply resources in the distribution network;

[0027] The operation and inspection team deployment model is:

[0028] ∑ r∈R,p2∈P2 β r,p2 ≤N p2,r ;

[0029] ∑ r∈R,p2∈P2 β r,p2≤N r ;

[0030] ∑ p2∈P2 β r,p2 =1;

[0031] Where: R represents the set of maintenance personnel composed of the operation and maintenance team; P2 represents the set of location points of the mobile operation and maintenance team in the transportation network; p2 represents the specific location point of the operation and maintenance team in the transportation network; β r,p2 is a Boolean variable, that is, whether the inspection team r is deployed at the site p2, β r,p2 =1 means that the inspection team r is deployed at the site p2, β r,p2 =0 means that the inspection team r is not deployed at the site p2; N p2,r Represents the upper limit of the number of mobile power supplies that can be connected to a site selection point for an operation and inspection team; N r Represents the total number of operation and maintenance teams in the distribution network;

[0032] The mobile supply guarantee and operation inspection resource scheduling model is:

[0033]

[0034]

[0035]

[0036] Where: N M Represents the optional access preparation point set of the mobile emergency power supply; x t m1,p1,m,s represents the state of emergency power supply m1 moving from mobile emergency power supply site p1 to node m in time period t under scenario s, x t m1,p1,m,s Equal to 1 means that the emergency power supply m1 has moved to node m, x t m1,p1,m,s Equal to 0 means that the emergency power supply m1 has not yet moved to the node m; t(m,p1) represents the minimum moving time required to dispatch from the mobile emergency power supply site p1 to the node m; |N T | represents the time period that needs to be scheduled in scene s; L s represents the set of line faults that need to be repaired in the distribution network in scenario s; b t r,p2,l,s is a Boolean variable representing the state of the inspection team r being dispatched from the inspection team site p2 to the damaged location l at time period t in scenario s, b t r,p2,l,s =1 means that in scenario s, at time period t, the inspection team r has been dispatched from the inspection team site selection point p2 to the damaged location l; b t r,p2,l,sIf it is equal to 0, it means that in the scenario s, the maintenance team r has not yet been dispatched from the maintenance team location point p2 to the damaged location l at time period t; τ represents any time interval; l1 and l2 represent any two faulty lines; Represents the minimum scheduling time required for the inspection team r to travel from line l1 to l2.

[0037] Preferably, the power balance model and the safety constraint model of the distribution network are:

[0038] The power balance constraints of the distribution network are as follows:

[0039]

[0040]

[0041] Where: P mn With Q mn is the active power and reactive power between node m and node n; R mn With X mn Respectively represent the resistance and reactance of the distribution network line; P m DG With Q m DG is the active power and reactive power of distributed energy at node m; P L m,max With Q L m,max Represent the maximum values ​​of active power and reactive power of load nodes respectively; M1 is an infinite positive number; and They represent the square of the maximum value and the square of the minimum value of the voltage at the load point of the distribution network respectively; Represents the square of the maximum current of the distribution network line; α mn Indicates whether node m is connected to node n;

[0042] Second-order cone relaxation is used to transform the voltage, current and power relationship in the distribution network into a second-order cone constraint:

[0043]

[0044] The security constraints of the distribution network are as follows:

[0045]

[0046] Where: P min , P max They are the minimum and maximum active power of distributed generation respectively; P t k,s represents the active power of distributed generation k in time period t in scenario s; P tm1,p1,m,s represents the active power of the mobile emergency power supply m1 after it moves from the mobile emergency power supply site p1 to the node m where the backup power supply is connected to the grid in the time period t in scenario s; P t e,s represents the active power of energy storage device e in time period t in scenario s; E i,0 Represents the initial energy reserve of the energy storage device e, E e,min 、E e,max represents the minimum and maximum energy values ​​of the energy storage device during charging and discharging; t' represents the energy storage operation time; λ represents the energy conversion efficiency coefficient of the energy storage device; ΔT int Is the charge and discharge time.

[0047] Preferably, the step S4 comprises:

[0048] Select reliability evaluation indicators;

[0049] Determine the reliability of important users based on reliability evaluation indicators.

[0050] Preferably, the reliability of important users is determined based on reliability evaluation indicators, including:

[0051] The reliability evaluation index of important users is defined by the average power supply availability rate of important users and the expected value of power shortage of important users;

[0052] Based on the defined indicators, the reliable power supply service capability of distribution network operators for important users is evaluated, and this is used as the optimization goal. The mobile supply guarantee and operation and inspection resource coordinated scheduling model established in step S3 is used as the constraint condition. A mixed integer linear programming is established to solve the power supply reliability improvement strategy for important users of the distribution network. The mathematical expression of the objective function is as follows:

[0053]

[0054] Where: ASAI vip Indicates the average power supply availability of the distribution network to important users; EENS vip Indicates the expected value of power shortage for important users; R vip Represents the set of load points where important users are located in the distribution network; U u Statistics of fault duration for important users; N u is the number of important users in the distribution network; It represents the average power loss caused by insufficient power supply to important user u.

[0055] Preferably, the evaluation process for improving the power supply reliability of important users of the distribution network through the coordinated configuration of mobile supply guarantee and operation and inspection resources is specifically as follows:

[0056] Step 1: Read the basic data of the distribution network and users, and set the simulation timeline;

[0057] Step 2: Considering the influence of operation and maintenance factors, calculate the risk probability, operation and maintenance success probability, operation and maintenance failure probability and final failure rate of each equipment in the distribution network, and establish a distribution network equipment fault state transfer model considering operation and maintenance factors;

[0058] Step 3: Input the configuration of mobile supply and inspection resources in the distribution network, the abundance and access locations of other mobile supply and inspection resources, and the traffic topology of the distribution network;

[0059] Step 4: Based on the distribution network equipment fault state transfer model considering operation and inspection factors established in Step 2, sample the distribution network fault scenarios considering operation and inspection factors within the set simulation time axis;

[0060] Step 5: For the distribution network failure scenario considering the operation and inspection factors established in Step 4, a coordinated dispatching model of mobile supply guarantee and operation and inspection resources is constructed by comprehensively considering traffic conditions and resource abundance;

[0061] Step 6: Record the number and duration of power outages for important users in the distribution network, as well as the power lost during the outages;

[0062] Step 7: Determine whether all the scenes generated in the simulation timeline have been traversed. If not, jump to Step 5. If so, jump to Step 8.

[0063] Step 8: Count the power outage frequency and power loss of important users in all scenarios, calculate two types of power supply reliability indicators: the average power supply availability rate of important users and the expected value of power supply shortage for important users, compare them with the initial power supply reliability indicators, and evaluate the power supply reliability of important users improved by the resource collaborative configuration method of power supply reliability.

[0064] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0065] The present invention fully considers the distribution network operation and maintenance factors and mobile supply guarantee resources to improve the power supply reliability of important users. The method of coordinated configuration of mobile supply guarantee and operation and inspection resources improves the differentiated power supply service level of the distribution network for important users, which can effectively improve user satisfaction. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] Figure 1 It is a flow chart of a resource collaborative configuration method for improving power supply reliability of important users provided by the present invention;

[0067] Figure 2 It is a distribution network equipment fault state transfer model diagram established by considering operation and inspection factors;

[0068] Figure 3 It is a flow chart of a method for improving the reliability of power supply to important users of the distribution network through the coordinated configuration of mobile supply security and operation and inspection resources. DETAILED DESCRIPTION

[0069] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with embodiments and drawings. The exemplary embodiments of the present invention and their description are only used to explain the present invention and are not intended to limit the present invention.

[0070] Example 1

[0071] like Figure 1 As shown, a resource collaborative configuration method for improving the power supply reliability of important users includes the following steps:

[0072] Step S1, obtaining distribution network data and basic data of users who have electricity connection with the distribution network, and selecting important users of the distribution network, specifically:

[0073] The distribution network data includes: distribution network topology, distribution network switch locations, transformer equipment locations, line models and lengths, parameters of mobile supply and operation and inspection resources, and access locations and configurations;

[0074] The user basic data includes: the reference user's power demand, geographical location, industry type and requirements for power reliability.

[0075] Step S2, constructing a distribution network equipment fault state transfer model considering operation and inspection factors, specifically:

[0076] like Figure 2 As shown, a risk state is added to the normal-fault two-state transition model of the distribution network, and a normal-risk-fault three-state equipment fault state transition model of the distribution network considering the operation and inspection factors is defined; when a risk exists in a device in the distribution network based on the three-state equipment fault state transition model, an operation and maintenance instruction is sent to the operation and inspection end for the operation and maintenance team to perform operation and maintenance, so as to restore the distribution network from the risky equipment to the normal state;

[0077] Among them, the three-state equipment fault state transition model P considering the operation and inspection factors is defined de ={A1,A2,A3,α,ρ e ,γ e ,λ e ,μ}, where A1, A2, and A3 represent the normal state, risk state, and fault state of the distribution network device respectively, and α represents the probability of equipment risk occurrence, that is, the number of occurrences of the risk state detected by the distribution network device e within the statistical time; ρ erepresents the risk operation and maintenance success rate, that is, the number of times that the risk of distribution network equipment e is found and the operation and maintenance team is dispatched to successfully repair it within the statistical time; γ e is the probability of risk operation and maintenance failure, that is, the number of times that distribution network equipment e has a risk but the operation and maintenance team is not dispatched to successfully repair it during the statistical time; λ e is the final failure rate of distribution network equipment, that is, the average number of times that distribution network equipment e generates risks but no operation and maintenance team is dispatched to successfully perform operation and maintenance repairs; μ is the successful repair rate of the fault.

[0078] Step S3, comprehensively considering traffic conditions and resource abundance, constructing a coordinated allocation and regulation model for mobile supply and inspection resources, specifically:

[0079] The mobile supply and operation and inspection resource collaborative configuration and regulation model includes: a distribution network-transportation network coupling model, a mobile power supply deployment model, an operation and inspection team deployment model, a mobile supply and operation and inspection resource scheduling model, a distribution network power balance model and a distribution network safety constraint model.

[0080] The distribution network-transportation network coupling model is:

[0081]

[0082] V i (t) = V i,0 e -1.7w ;

[0083] Where: T i,m,n (t) represents the actual scheduling time of mobile supply and inspection resource i between nodes m and n; D m,n (t) represents the equivalent scheduling distance between the mobile supply and inspection resources of nodes m and n; V i (t) represents the actual dispatching speed of mobile supply and inspection resource i; D m,n,0 represents the actual traffic network length between nodes m and n; V i,0 is the dispatching speed of mobile supply and inspection resources under ideal conditions; w represents the traffic real-time coefficient of the traffic network under real-time conditions;

[0084] The deployment model of the mobile emergency power supply is:

[0085] ∑ m1∈M,p1∈P1 ∝ m1,p1 ≤N p1,m1 ;

[0086] ∑ m1∈M,p1∈P1 ∝ m1,p1 ≤N m1 ;

[0087] ∑ p1∈P1 ∝ m1,p1 =1;

[0088] Where: M represents the set of mobile emergency generators, mobile emergency energy storage and mobile emergency power supplies; P1 represents the site selection point set of mobile emergency power supplies in the transportation network; p1 represents the specific site selection point of mobile supply resources in the transportation network; ∝ m1,p1 is a Boolean variable, that is, whether the mobile emergency power supply m1 is deployed at the site p1, ∝ m1,p1 =1 represents that the mobile emergency power supply m1 is deployed at the site p1, ∝ m1,p1 =0 means that the mobile emergency power supply m1 is not deployed at the site p1; N p1,m1 Represents the upper limit of the number of mobile power sources that can be connected to a mobile supply resource site selection point; N m1 Represents the total number of mobile supply resources in the distribution network;

[0089] The operation and inspection team deployment model is:

[0090] ∑ r∈R,p2∈P2 β r,p2 ≤N p2,r ;

[0091] ∑ r∈R,p2∈P2 β r,p2 ≤N r ;

[0092] ∑ p2∈P2 β r,p2 =1;

[0093] Where: R represents the set of maintenance personnel composed of the operation and maintenance team; P2 represents the set of location points of the mobile operation and maintenance team in the transportation network; p2 represents the specific location point of the operation and maintenance team in the transportation network; β r,p2 is a Boolean variable, that is, whether the inspection team r is deployed at the site p2, β r,p2 =1 means that the inspection team r is deployed at the site p2, β r,p2 =0 means that the inspection team r is not deployed at the site p2; N p2,r Represents the upper limit of the number of mobile power supplies that can be connected to a site selection point for an operation and inspection team; N r Represents the total number of operation and maintenance teams in the distribution network;

[0094] The mobile supply guarantee and operation inspection resource scheduling model is:

[0095]

[0096] Where: N M Represents the optional access preparation point set of the mobile emergency power supply; x t m1,p1,m,s represents the state of emergency power supply m1 moving from mobile emergency power supply site p1 to node m in time period t under scenario s, xt m1,p1,m,s Equal to 1 means that the emergency power supply m1 has moved to node m, x t m1,p1,m,s Equal to 0 means that the emergency power supply m1 has not yet moved to the node m; t(m,p1) represents the minimum moving time required to dispatch from the mobile emergency power supply site p1 to the node m; |N T | represents the time period that needs to be scheduled in scene s; L s represents the set of line faults that need to be repaired in the distribution network in scenario s; b t r,p2,l,s is a Boolean variable representing the state of the inspection team r being dispatched from the inspection team site p2 to the damaged location l at time period t in scenario s, b t r,p2,l,s =1 means that in scenario s, at time period t, the inspection team r has been dispatched from the inspection team site selection point p2 to the damaged location l; b t r,p2,l,s If it is equal to 0, it means that in the scenario s, the maintenance team r has not yet been dispatched from the maintenance team location point p2 to the damaged location l at time period t; τ represents any time interval; l1 and l2 represent any two faulty lines; Represents the minimum scheduling time required for the inspection team r to travel from line l1 to l2.

[0097] The power balance constraints of the distribution network are as follows:

[0098]

[0099] Where: P mn With Q mn is the active power and reactive power between node m and node n; R mn With X mn Respectively represent the resistance and reactance of the distribution network line; P m DG With Q m DG is the active power and reactive power of distributed energy at node m; P L m,max With Q L m,max Represent the maximum values ​​of active power and reactive power of load nodes respectively; M1 is an infinite positive number; and They represent the square of the maximum value and the square of the minimum value of the voltage at the load point of the distribution network respectively; Represents the square of the maximum current of the distribution network line; α mn Indicates whether node m is connected to node n;

[0100] Second-order cone relaxation is used to transform the voltage, current and power relationship in the distribution network into a second-order cone constraint:

[0101]

[0102] The security constraints of the distribution network are as follows:

[0103]

[0104]

[0105] Where: P min , P max They are the minimum and maximum active power of distributed generation respectively; P t k,s represents the active power of distributed generation k in time period t in scenario s; P t m1,p1,m,s represents the active power of the mobile emergency power supply m1 after it moves from the mobile emergency power supply site p1 to the node m where the backup power supply is connected to the grid in the time period t in scenario s; P t e,s represents the active power of energy storage device e in time period t in scenario s; E i,0 Represents the initial energy reserve of the energy storage device e, E e,min 、E e,max represents the minimum and maximum energy values ​​of the energy storage device during charging and discharging; t' represents the energy storage operation time; λ represents the energy conversion efficiency coefficient of the energy storage device; ΔT int Is the charge and discharge time.

[0106] Step S4, based on the distribution network equipment fault state transfer model and the mobile supply guarantee and operation and inspection resource collaborative configuration and regulation model, determines the power supply reliability of important users of the distribution network, specifically:

[0107] The reliability evaluation index of important users is defined by the average power supply availability rate of important users and the expected value of power shortage of important users;

[0108] Based on the defined indicators, the reliable power supply service capability of distribution network operators for important users is evaluated, and this is used as the optimization goal. The mobile supply guarantee and operation and inspection resource coordinated scheduling model established in step S3 is used as the constraint condition. A mixed integer linear programming is established to solve the power supply reliability improvement strategy for important users of the distribution network. The mathematical expression of the objective function is as follows:

[0109]

[0110] Where: ASAI vip Indicates the average power supply availability of the distribution network to important users; EENS vipIndicates the expected value of power shortage for important users; R vip Represents the set of load points where important users are located in the distribution network; U u Statistics of fault duration for important users; N u is the number of important users in the distribution network; It represents the average power loss caused by insufficient power supply to important user u.

[0111] like Figure 3 As shown in the figure, the evaluation process of improving the power supply reliability of important users of the distribution network through the coordinated configuration of mobile supply guarantee and operation and inspection resources is as follows:

[0112] Step 1: Read the basic data of the distribution network and users, and set the simulation timeline;

[0113] Step 2: Considering the influence of operation and maintenance factors, calculate the risk probability, operation and maintenance success probability, operation and maintenance failure probability and final failure rate of each equipment in the distribution network, and establish a distribution network equipment fault state transfer model considering operation and maintenance factors;

[0114] Step 3: Input the configuration of mobile supply and inspection resources in the distribution network, the abundance and access locations of other mobile supply and inspection resources, and the traffic topology of the distribution network;

[0115] Step 4: Based on the distribution network equipment fault state transfer model considering operation and inspection factors established in Step 2, sample the distribution network fault scenarios considering operation and inspection factors within the set simulation time axis;

[0116] Step 5: For the distribution network failure scenario considering the operation and inspection factors established in Step 4, a coordinated dispatching model of mobile supply guarantee and operation and inspection resources is constructed by comprehensively considering traffic conditions and resource abundance;

[0117] Step 6: Record the number and duration of power outages for important users in the distribution network, as well as the power lost during the outages;

[0118] Step 7: Determine whether all the scenes generated in the simulation timeline have been traversed. If not, jump to Step 5. If so, jump to Step 8.

[0119] Step 8: Count the power outage frequency and power loss of important users in all scenarios, calculate two types of power supply reliability indicators: the average power supply availability rate of important users and the expected value of power supply shortage for important users, compare them with the initial power supply reliability indicators, and evaluate the power supply reliability of important users improved by the resource collaborative configuration method of power supply reliability.

[0120] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A resource collaborative configuration method for improving the power supply reliability of important users, characterized in that: include: Step S1, obtaining distribution network data and basic data of users who have electricity connection with the distribution network, and selecting important users of the distribution network; Step S2, constructing a distribution network equipment fault state transfer model taking into account operation and inspection factors; Step S3, comprehensively considering traffic conditions and resource abundance, and constructing a coordinated allocation and regulation model for mobile supply and inspection resources; Step S4, determining the power supply reliability of important users of the distribution network based on the distribution network equipment fault state transfer model and the mobile supply guarantee and operation and inspection resource collaborative configuration and regulation model; Wherein, the step S2 comprises: The risk state is added to the normal-fault two-state transfer model of the distribution network, and a normal-risk-fault three-state equipment fault state transfer model of the distribution network considering the operation and inspection factors is defined; When a risk is detected in a device in the distribution network based on the three-state device fault state transition model, an operation and maintenance instruction is sent to the operation and maintenance end for the operation and maintenance team to perform operation and maintenance to restore the distribution network from the risky device to a normal state; Among them, the three-state equipment fault state transition model P considering the operation and inspection factors is defined de ={A1,A2,A3,α,ρ e ,γ e ,λ e ,μ}, where A1, A2, and A3 represent the normal state, risk state, and fault state of the distribution network device respectively, and α represents the probability of equipment risk occurrence, that is, the number of occurrences of the risk state detected by the distribution network device e within the statistical time; ρ e represents the risk operation and maintenance success rate, that is, the number of times that the risk of distribution network equipment e is found and the operation and maintenance team is dispatched to successfully repair it within the statistical time; γ e is the probability of risk operation and maintenance failure, that is, the number of times that distribution network equipment e has a risk but the operation and maintenance team is not dispatched to successfully repair it during the statistical time; λ e is the final failure rate of distribution network equipment, that is, the average number of failures caused by the distribution network equipment e generating risks but not sending an operation and maintenance team to successfully perform operation and maintenance repairs; μ is the failure success repair rate; The mobile supply and inspection resource collaborative configuration and regulation model includes: distribution network-transportation network coupling model, mobile power deployment model, inspection team deployment model, mobile supply and inspection resource scheduling model, distribution network power balance model and distribution network safety constraint model; Among them, the distribution network-transportation network coupling model is: V i (t)=V i,0 yes -1.7w ; Where: T i,m,n (t) represents the actual scheduling time of mobile supply and inspection resource i between nodes m and n; D m,n (t) represents the equivalent scheduling distance between the mobile supply and inspection resources of nodes m and n; V i (t) represents the actual dispatching speed of mobile supply and inspection resource i; D m,n,0 represents the actual traffic network length between nodes m and n; V i,0 is the dispatching speed of mobile supply and inspection resources under ideal conditions; w represents the traffic real-time coefficient of the traffic network under real-time conditions; The mobile power deployment model is: ∑ m1∈M,p1∈P1 ∝ m1,p1 ≤N p1,m1 ； ∑ m1∈M,p1∈P1 ∝ m1,p1 ≤N m1 ； ∑ p1∈P1 ∝ m1,p1 ＝1； Where: M represents the set of mobile emergency generators, mobile emergency energy storage and mobile emergency power supplies; P1 represents the set of site selection points of mobile emergency power supplies in the transportation network; p1 represents the specific site selection point of mobile supply resources in the transportation network; ∝ m1,p1 is a Boolean variable, that is, whether the mobile emergency power supply m1 is deployed at the site p1, ∝ m1,p1 =1 represents that the mobile emergency power supply m1 is deployed at the site p1, ∝ m1,p1 =0 means that the mobile emergency power supply m1 is not deployed at the site p1; N p1,m1 Represents the upper limit of the number of mobile power sources that can be connected to a mobile supply resource site selection point; N m1 Represents the total number of mobile supply resources in the distribution network; The operation and inspection team deployment model is: ∑ r∈R,p2∈P2 β r,p2 ≤N p2,r ； ∑ r∈R,p2∈p2 β r,p2 ≤N r ； ∑ p2∈P2 β r,p2 ＝1； Where: R represents the set of maintenance personnel composed of the operation and maintenance team; P2 represents the set of location points of the mobile operation and maintenance team in the transportation network; p2 represents the specific location point of the operation and maintenance team in the transportation network; β r,p2 is a Boolean variable, that is, whether the inspection team r is deployed at the site p2, β r,p2 =1 means that the inspection team r is deployed at the site p2, β r,p2 =0 means that the inspection team r is not deployed at the site p2; N p2,r Represents the upper limit of the number of mobile power supplies that can be connected to a site selection point for an operation and inspection team; N r Represents the total number of operation and maintenance teams in the distribution network; The mobile supply guarantee and operation inspection resource scheduling model is: Where: N M Represents the optional access preparation point set of the mobile emergency power supply; x t m1,p1,m,s represents the state of emergency power supply m1 moving from mobile emergency power supply site p1 to node m in time period t under scenario s, x t m1,p1,m,s Equal to 1 means that the emergency power supply m1 has moved to node m, x t m1,p1,m,s Equal to 0 means that the emergency power supply m1 has not yet moved to the node m; t(m,p1) represents the minimum moving time required to dispatch from the mobile emergency power supply site p1 to the node m; |N T | represents the time period that needs to be scheduled in scene s; L s represents the set of line faults that need to be repaired in the distribution network in scenario s; b t r,p2,l,s is a Boolean variable representing the state of the inspection team r being dispatched from the inspection team site p2 to the damaged location l at time period t in scenario s, b t r,p2,l,s =1 means that in scenario s, at time period t, the inspection team r has been dispatched from the inspection team site selection point p2 to the damaged location l; b t r,p2,l,s If it is equal to 0, it means that in the scenario s, the maintenance team r has not yet been dispatched from the maintenance team location point p2 to the damaged location l at time period t; τ represents any time interval; l1 and l2 represent any two faulty lines; Represents the minimum dispatching time required for the inspection team r to travel from line l1 to l2; The power balance model and the safety constraint model of the distribution network are as follows: The power balance model of the distribution network is as follows: Where: P mn With Q mn is the active power and reactive power between node m and node n; R mn With X mn Respectively represent the resistance and reactance of the distribution network line; P m DG With Q m DG is the active power and reactive power of distributed energy at node m; P L m,max With Q L m,max Represent the maximum values ​​of active power and reactive power of load nodes respectively; M1 is an infinite positive number; and They represent the square of the maximum value and the square of the minimum value of the voltage at the load point of the distribution network respectively; Represents the square of the maximum current of the distribution network line; α mn Indicates whether node m is connected to node n; Second-order cone relaxation is used to transform the voltage, current and power relationship in the distribution network into a second-order cone constraint: The distribution network security constraint model is as follows: Where: P min , P max They are the minimum and maximum active power of distributed generation respectively; P t k,s represents the active power of distributed generation k in time period t in scenario s; P t m1,p1,m,s represents the active power of the mobile emergency power supply m1 after it moves from the mobile emergency power supply site p1 to the node m where the backup power supply is connected to the grid in the time period t in scenario s; P t e,s represents the active power of energy storage device e in time period t in scenario s; E i,0 Represents the initial energy reserve of the energy storage device e, E e,min 、E e,max represents the minimum and maximum energy values ​​of the energy storage device during charging and discharging; t' represents the energy storage operation time; λ represents the energy conversion efficiency coefficient of the energy storage device; ΔT int Is the charging and discharging time; Wherein, the step S4 comprises: Select reliability evaluation indicators; Determine the reliability of important users based on reliability evaluation indicators; Among them, the reliability of important users is determined based on reliability evaluation indicators, including: The reliability evaluation index of important users is defined by the average power supply availability rate of important users and the expected value of power shortage of important users; Based on the defined indicators, the reliable power supply service capability of distribution network operators for important users is evaluated, and this is used as the optimization goal. The mobile supply guarantee and operation and inspection resource coordinated scheduling model established in step S3 is used as the constraint condition. A mixed integer linear programming is established to solve the power supply reliability improvement strategy for important users of the distribution network. The mathematical expression of the objective function is as follows: Where: ASAI vip Indicates the average power supply availability of the distribution network to important users; EENS vip Indicates the expected value of power shortage for important users; R vip Represents the set of load points where important users are located in the distribution network; U u Statistics of fault duration for important users; N u is the number of important users in the distribution network; It represents the average power loss caused by insufficient power supply to important user u.

2. The resource collaborative configuration method for improving power supply reliability of important users according to claim 1 is characterized in that: The distribution network data includes: distribution network topology, distribution network switch locations, transformer equipment locations, line models and lengths, parameters of mobile supply and operation and inspection resources, and access locations and configurations; The user basic data includes: the reference user's power demand, geographical location, industry type and requirements for power reliability.

3. The resource collaborative configuration method for improving power supply reliability of important users according to claim 1 is characterized in that: The specific evaluation process for improving the power supply reliability of important users of the distribution network through the coordinated configuration of mobile supply guarantee and operation and inspection resources includes: Step 1: Read the basic data of the distribution network and users, and set the simulation timeline; Step 2: Considering the influence of operation and maintenance factors, calculate the risk probability, operation and maintenance success probability, operation and maintenance failure probability and final failure rate of each equipment in the distribution network, and establish a distribution network equipment fault state transfer model considering operation and maintenance factors; Step 3: Input the configuration of mobile supply and inspection resources in the distribution network, the abundance and access locations of other mobile supply and inspection resources, and the traffic topology of the distribution network; Step 4: Based on the distribution network equipment fault state transfer model considering operation and inspection factors established in Step 2, sample the distribution network fault scenarios considering operation and inspection factors within the set simulation time axis; Step 5: For the distribution network failure scenario considering the operation and inspection factors established in Step 4, a coordinated dispatching model of mobile supply guarantee and operation and inspection resources is constructed by comprehensively considering traffic conditions and resource abundance; Step 6: Record the number and duration of power outages for important users in the distribution network, as well as the power lost during the outages; Step 7: Determine whether all the scenes generated in the simulation timeline have been traversed. If not, jump to Step 5. If so, jump to Step 8. Step 8: Count the power outage frequency and power loss of important users in all scenarios, calculate two types of power supply reliability indicators: the average power supply availability rate of important users and the expected value of power supply shortage for important users, compare them with the initial power supply reliability indicators, and evaluate the power supply reliability of important users improved by the resource collaborative configuration method of power supply reliability.

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