Method and device for optimizing installation position of feeder terminal

Abstract

The invention provides a feeder terminal installation position optimization method and device, and relates to the technical field of power distribution networks. The method comprises the following steps: carrying out power distribution network fault processing whole process simulation based on a power distribution network simulation platform to obtain power failure loss cost corresponding to each analog switch; constructing a loss cost objective function corresponding to each analog switch according to the power failure loss cost and the equipment investment cost; and taking each feeder terminal as a planet, determining fitness corresponding to the corresponding planet according to each loss cost objective function, and calculating to obtain an optimized installation position of each feeder terminal in the power distribution network according to each fitness and by utilizing a preset optimization algorithm. The device executes the method. According to the method and the device for optimizing the installation position of the feeder terminal provided by the embodiment of the invention, the installation position of the feeder terminal in the power distribution network can be reasonably and accurately optimized.

Description

Technical Field

[0001] The present invention relates to the technical field of power distribution networks, and in particular to a method and device for optimizing the installation position of a feeder terminal. Background Art

[0002] The distribution network is the key to residents' daily electricity use. Once an unexpected failure occurs and causes a power outage, it will seriously affect people's normal production and life. Distribution automation, as a key component of the intelligent distribution network, is crucial to improving power supply reliability, improving power quality, and ensuring the safe and stable operation of the distribution network. How to reasonably configure the installation location of the feeder terminal to achieve a balance between system reliability and economy is an important issue facing the construction of distribution automation. At present, the feeder terminal relies on manual experience and simple calculations to determine the installation location of the feeder terminal. In recent years, although some studies have begun to use optimization algorithms such as genetic algorithms to automatically select the installation location of the feeder terminal, these algorithms usually require longer calculation time in practical applications. The higher the complexity of the model, the longer the calculation time required.

[0003] Most of the existing technical solutions conduct research on the optimal layout of feeder terminals by constructing analytical models. Especially in the part of constructing power outage loss costs, the calculation of power outage loss costs under various configurations mostly uses relatively fixed data. For example, the power outage times corresponding to the installation of feeder terminals are 1h and 3h respectively, without considering the actual operation process of the feeder terminals in the distribution network, resulting in the installation position of the feeder terminals being unreasonable and inaccurate. Summary of the invention

[0004] In view of the problems in the prior art, an embodiment of the present invention provides a method and device for optimizing the installation position of a feeder terminal, which can at least partially solve the problems in the prior art.

[0005] On the one hand, the present invention provides a method for optimizing the installation position of a feeder terminal, comprising:

[0006] Based on the distribution network simulation platform, the whole process of distribution network fault handling is simulated to obtain the power outage loss cost corresponding to each simulated switch;

[0007] According to the power outage loss cost and the equipment investment cost, construct a loss cost objective function corresponding to each analog switch;

[0008] Taking each feeder terminal as a planet, determining the fitness corresponding to the corresponding planet according to each loss cost objective function, and calculating the optimal installation position of each feeder terminal in the distribution network according to each fitness and using a preset optimization algorithm;

[0009] Wherein, the distribution network simulation platform includes a distribution network simulation model, a simulation switch and a feeder terminal;

[0010] Different positions in the line topology of the distribution network simulation model are respectively provided with corresponding simulation switches, and each simulation switch represents the installation position of each feeder terminal in the distribution network;

[0011] Each analog switch is respectively connected to each feeder terminal through an electrical signal processing board.

[0012] Wherein, the electrical signal processing board includes an analog output board, a digital input board and a digital output board; accordingly, the whole process of distribution network fault processing is simulated based on the distribution network simulation platform to obtain the power outage loss cost corresponding to each analog switch, including:

[0013] In response to the fault setting information executed based on the power distribution network simulation platform, a current and voltage signal of each simulated switch is acquired;

[0014] The analog output board converts the current and voltage signals of each analog switch and sends the converted current and voltage signals to the feeder terminal corresponding to the analog switch;

[0015] Each feeder terminal performs fault determination according to the converted current and voltage signals, executes opening and closing actions, and sends a first action signal to the digital input board;

[0016] The digital input board converts the first action signal sent by each feeder terminal, and sends the converted first action signal to the analog switch corresponding to the feeder terminal;

[0017] After each analog switch is actuated, a second action signal is sent to the digital output board;

[0018] The digital output board converts the second action signal, sends the converted second action signal to the feeder terminal corresponding to the analog switch, obtains the simulation result of the whole process of distribution network fault processing, and calculates the power outage loss cost corresponding to each analog switch according to the simulation result.

[0019] Wherein, the distribution network simulation platform also includes a power amplifier; accordingly, after the analog output board converts and processes the current and voltage signals of each analog switch, the feeder terminal installation position optimization method also includes:

[0020] The converted current and voltage signals are processed by the power amplifier, and the processed current and voltage signals are sent to the feeder terminal corresponding to the analog switch.

[0021] Wherein, constructing a loss cost objective function corresponding to each analog switch according to the power outage loss cost and the equipment investment cost includes:

[0022] The sum of the power outage loss cost and the equipment investment cost is determined as the loss cost objective function corresponding to each analog switch.

[0023] Wherein, determining the fitness corresponding to the corresponding planet according to each loss cost objective function includes:

[0024] The inverse of each loss cost objective function is determined as the fitness.

[0025] Wherein, obtaining the equipment investment cost includes:

[0026] The sum of the installation costs of the integrated primary and secondary side equipment of power distribution and the operation and maintenance costs of the integrated primary and secondary side supporting equipment of power distribution is determined as the equipment investment cost.

[0027] Wherein, the preset optimization algorithm includes a Kepler optimization algorithm; accordingly, the optimized installation position of each feeder terminal in the distribution network is calculated according to each fitness and using the preset optimization algorithm, including:

[0028] Taking network topology constraints, power supply reliability constraints, feeder terminal installation constraints, single trunk feeder terminal quantity constraints, and equipment installation cost constraints as constraint conditions, a global optimization is performed by calculating each fitness, and the global optimization result is used as the optimized installation position of each feeder terminal in the distribution network.

[0029] On the one hand, the present invention provides a feeder terminal installation position optimization device, comprising:

[0030] A simulation unit is used to simulate the whole process of distribution network fault handling based on the distribution network simulation platform to obtain the power outage loss cost corresponding to each simulated switch;

[0031] A construction unit, used to construct a loss cost objective function corresponding to each analog switch according to the power outage loss cost and the equipment investment cost;

[0032] The optimization unit is used to take each feeder terminal as a planet, determine the fitness corresponding to the corresponding planet according to each loss cost objective function, and calculate the optimal installation position of each feeder terminal in the distribution network according to each fitness and using a preset optimization algorithm;

[0033] Wherein, the distribution network simulation platform includes a distribution network simulation model, a simulation switch and a feeder terminal;

[0034] Different positions in the line topology of the distribution network simulation model are respectively provided with corresponding simulation switches, and each simulation switch represents the installation position of each feeder terminal in the distribution network;

[0035] Each analog switch is respectively connected to each feeder terminal through an electrical signal processing board.

[0036] In another aspect, an embodiment of the present invention provides an electronic device, including: a processor, a memory, and a bus, wherein:

[0037] The processor and the memory communicate with each other via the bus;

[0038] The memory stores program instructions that can be executed by the processor, and the processor calls the program instructions to execute the following method:

[0039] Based on the distribution network simulation platform, the whole process of distribution network fault handling is simulated to obtain the power outage loss cost corresponding to each simulated switch;

[0040] According to the power outage loss cost and the equipment investment cost, construct a loss cost objective function corresponding to each analog switch;

[0041] Taking each feeder terminal as a planet, determining the fitness corresponding to the corresponding planet according to each loss cost objective function, and calculating the optimal installation position of each feeder terminal in the distribution network according to each fitness and using a preset optimization algorithm;

[0042] Wherein, the distribution network simulation platform includes a distribution network simulation model, a simulation switch and a feeder terminal;

[0043] Different positions in the line topology of the distribution network simulation model are respectively provided with corresponding simulation switches, and each simulation switch represents the installation position of each feeder terminal in the distribution network;

[0044] Each analog switch is respectively connected to each feeder terminal through an electrical signal processing board.

[0045] An embodiment of the present invention provides a non-transitory computer-readable storage medium, including:

[0046] The non-transitory computer-readable storage medium stores computer instructions, which cause the computer to execute the following method:

[0047] Based on the distribution network simulation platform, the whole process of distribution network fault handling is simulated to obtain the power outage loss cost corresponding to each simulated switch;

[0048] According to the power outage loss cost and the equipment investment cost, construct a loss cost objective function corresponding to each analog switch;

[0049] Taking each feeder terminal as a planet, determining the fitness corresponding to the corresponding planet according to each loss cost objective function, and calculating the optimal installation position of each feeder terminal in the distribution network according to each fitness and using a preset optimization algorithm;

[0050] Wherein, the distribution network simulation platform includes a distribution network simulation model, a simulation switch and a feeder terminal;

[0051] Different positions in the line topology of the distribution network simulation model are respectively provided with corresponding simulation switches, and each simulation switch represents the installation position of each feeder terminal in the distribution network;

[0052] Each analog switch is respectively connected to each feeder terminal through an electrical signal processing board.

[0053] The feeder terminal installation position optimization method and device provided in the embodiment of the present invention simulate the whole process of distribution network fault processing based on the distribution network simulation platform to obtain the power outage loss cost corresponding to each simulated switch; construct the loss cost objective function corresponding to each simulated switch according to the power outage loss cost and the equipment investment cost; take each feeder terminal as a planet, determine the fitness corresponding to the corresponding planet according to each loss cost objective function, calculate the optimized installation position of each feeder terminal in the distribution network according to each fitness and using a preset optimization algorithm, and combine the virtual distribution network simulation platform with the feeder terminal physical entity, and fully consider the fault situation of the distribution network, so as to reasonably and accurately optimize the installation position of the feeder terminal in the distribution network. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. In the drawings:

[0055] Figure 1 It is a flow chart of a method for optimizing the installation position of a feeder terminal provided in one embodiment of the present invention.

[0056] Figure 2 It is a structural schematic diagram of a feeder terminal installation position optimization device provided by an embodiment of the present invention.

[0057] Figure 3 A schematic diagram of the physical structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0058] In order to make the purpose, technical scheme and advantages of the embodiments of the present invention more clear, the embodiments of the present invention are further described in detail below in conjunction with the accompanying drawings. Here, the illustrative embodiments of the present invention and their descriptions are used to explain the present invention, but are not intended to limit the present invention. It should be noted that, in the absence of conflict, the embodiments in this application and the features in the embodiments can be combined with each other arbitrarily.

[0059] Figure 1 FIG. 1 is a flow chart of a method for optimizing the installation position of a feeder terminal provided in an embodiment of the present invention. Figure 1 As shown, the feeder terminal installation position optimization method provided by the embodiment of the present invention includes:

[0060] Step R1: Based on the distribution network simulation platform, the whole process of distribution network fault handling is simulated to obtain the power outage loss cost corresponding to each simulated switch.

[0061] Step R2: construct a loss cost objective function corresponding to each analog switch according to the power outage loss cost and the equipment investment cost.

[0062] Step R3: Taking each feeder terminal as a planet, determining the fitness corresponding to the corresponding planet according to each loss cost objective function, and calculating the optimal installation position of each feeder terminal in the distribution network according to each fitness and using a preset optimization algorithm;

[0063] Wherein, the distribution network simulation platform includes a distribution network simulation model, a simulation switch and a feeder terminal;

[0064] Different positions in the line topology of the distribution network simulation model are respectively provided with corresponding simulation switches, and each simulation switch represents the installation position of each feeder terminal in the distribution network;

[0065] Each analog switch is respectively connected to each feeder terminal through an electrical signal processing board.

[0066] In the above step R1, the device simulates the whole process of distribution network fault handling based on the distribution network simulation platform to obtain the power outage loss cost corresponding to each simulated switch. The device can be a computer device that executes the method, the distribution network simulation model can be built using simulation software, and the above device can be specifically a computer device that is installed with simulation software and performs simulation.

[0067] In the above step R2, the device constructs a loss cost objective function corresponding to each analog switch according to the power outage loss cost and the equipment investment cost.

[0068] In the above step R3, the device takes each feeder terminal as a planet, determines the fitness corresponding to the corresponding planet according to each loss cost objective function, and calculates the optimal installation position of each feeder terminal in the distribution network according to each fitness and using a preset optimization algorithm;

[0069] Wherein, the distribution network simulation platform includes a distribution network simulation model, a simulation switch and a feeder terminal;

[0070] Different positions in the line topology of the distribution network simulation model are respectively provided with corresponding simulation switches, and each simulation switch represents the installation position of each feeder terminal in the distribution network;

[0071] Each analog switch is respectively connected to each feeder terminal through an electrical signal processing board.

[0072] The electrical signal processing board includes an analog output board, a digital input board and a digital output board; accordingly, the whole process of distribution network fault processing is simulated based on the distribution network simulation platform to obtain the power outage loss cost corresponding to each analog switch, including:

[0073] In response to the fault setting information executed based on the power distribution network simulation platform, a current and voltage signal of each simulated switch is acquired;

[0074] The analog output board converts the current and voltage signals of each analog switch and sends the converted current and voltage signals to the feeder terminal corresponding to the analog switch;

[0075] Each feeder terminal performs fault determination according to the converted current and voltage signals, executes opening and closing actions, and sends a first action signal to the digital input board;

[0076] The digital input board converts the first action signal sent by each feeder terminal, and sends the converted first action signal to the analog switch corresponding to the feeder terminal;

[0077] After each analog switch is actuated, a second action signal is sent to the digital output board;

[0078] The digital output board converts the second action signal, sends the converted second action signal to the feeder terminal corresponding to the analog switch, obtains the simulation result of the whole process of distribution network fault processing, and calculates the power outage loss cost corresponding to each analog switch according to the simulation result.

[0079] The distribution network simulation platform also includes a power amplifier; accordingly, after the analog output board converts and processes the current and voltage signals of each analog switch, the feeder terminal installation position optimization method also includes:

[0080] The converted current and voltage signals are processed by the power amplifier, and the processed current and voltage signals are sent to the feeder terminal corresponding to the analog switch.

[0081] The power outage loss and feeder terminal investment in the fault handling process when a short-circuit fault occurs are combined into the loss cost as the objective function of the feeder terminal optimization layout problem. The simulation software RTDS is used to connect with the physical FTU (feeder terminal). A distribution network simulation model is built in RTDS. Simulation switches are established at different locations in the line topology as the installation locations of the FTU. Various fault types and fault locations are set in RTDS. The voltage and current signals at the simulation switch are transmitted to the physical FTU through the GTAO board and power amplifier. The FTU determines whether a fault occurs according to the internal logic based on the received voltage and current signals, and implements the opening and closing actions. The action signal is converted into a digital signal through the GTDI board and outputted back to the analog switch. After the analog switch is actuated, the action signal is output again to the FTU through the GTDO board for action feedback, realizing a logical closed loop, completing the simulation of the entire fault handling process in the simulation model, and calculating the power outage loss cost based on the simulation results. Further explanation is as follows:

[0082] GTDI (Gigabit Transceiver Digital Input) provides optically isolated digital input for simulation. GTDO (Gigabit Transceiver Digital Output) provides optically isolated digital output from simulation to external devices. GTAO (Gigabit Transceiver Analog Output) provides optically isolated analog output from simulation to external devices.

[0083] The implementation process of the feeder terminal installation position optimization method is further described as follows:

[0084] S1. Collect data such as line impedance parameters, load rated power and power factor of the distribution network, and set model parameters such as evaluation period (implementation period of the method), unit electricity price, installation cost and maintenance cost of the integrated primary and secondary side distribution equipment.

[0085] S2. Construct an optimization model for the installation location of feeder terminals based on objective functions and constraints.

[0086] S3. Define and initialize a solution set.

[0087] S4. Initialize the parameters of each planet (position, eccentricity and orbital period).

[0088] S5. Calculate fitness and find the global optimal solution (sun).

[0089] S6. Calculate the Euclidean distances of the Sun and the planets.

[0090] S7. Determine the pull of the sun on each planet.

[0091] S8. Calculate the planetary speed.

[0092] S9. Generate random numbers rd and r, and determine whether rd is greater than r. If rd is less than r, update the distance between the sun and the planet; if rd is greater than r, update the position of the planet.

[0093] S10. Make sure the sun and planets are in the best positions.

[0094] S11. Calculate the fitness value and update the global optimal solution (sun).

[0095] S12. Determine whether the termination time has been reached. If not, return to step S6. If the termination time has been reached, end the algorithm flow. The solution represented by the sun at this time is the optimal layout solution.

[0096] S2 further includes S2.1 calculating the objective function and S2.2 constructing the constraint conditions, which are described as follows:

[0097] S2.1:

[0098] In the optimization layout problem of feeder terminals, the power outage loss and the investment cost of feeder terminals can be combined into a loss cost objective function C, which can be expressed as:

[0099] C=C inv +C loss

[0100] Among them, C loss It represents the comprehensive cost of the total load outage loss of the distribution network during the evaluation period; C inv It represents the equipment investment cost of the integrated primary and secondary side distribution equipment.

[0101] C can be calculated according to the following formula inv :

[0102] C inv =C ins +C mnt

[0103] Among them, C ins is the installation cost of the integrated equipment on the primary and secondary sides of the power distribution, C mnt It is the operating and maintenance cost of the integrated supporting equipment on the primary and secondary sides of power distribution.

[0104] C can be calculated according to the following formula loss :

[0105] C loss =C f +C Nf

[0106] Among them, Cf and C Nf They represent the power outage loss cost in the fault area and the power outage loss cost in the non-fault area respectively.

[0107] S2.2:

[0108] Network topology constraints:

[0109]

[0110] Where N refers to N nodes (each node represents a feeder terminal), B refers to B branches, and an N×B augmented correlation matrix is ​​constructed. The branch direction refers to the power direction of the power flow); a pq|value＝-1 represents the element with a value of -1 in row p and column q in the augmented incidence matrix, i.e., the element whose branch points to node p; σ N Refers to the collection of all nodes in the network.

[0111] Power supply reliability constraints:

[0112] The indicators of power supply reliability are expressed by SAIDI and ASAI, where the expression of SAIDI is:

[0113]

[0114] Where SAIDI represents the average power failure time of the system; N d Represents the total number of loads in the network; represents the set of all segmented routes of the distribution network, represents the set of all loads in the non-fault area when line j fails, represents the set of all loads in the fault area when line j fails; t loss,d It represents the total power outage time of load d during the process of fault location, isolation and restoration; t j represents the mean failure time of line j; j is the occurrence rate of permanent short circuit fault of line j; L j is the line length of line j; the expression of ASAI is:

[0115]

[0116] Among them, ASAI represents the average power supply availability index of the system; taking the index ASAI as the constraint condition of the power supply reliability of the distribution network, the expression that needs to be satisfied is:

[0117] ASAI ≥ ASAI h

[0118] Among them, ASAI h It represents the threshold value (%) of the average power supply availability rate of the system in different regions h.

[0119] Power distribution terminal installation constraints:

[0120]

[0121] in, Indicates the average fault duration when a permanent short circuit fault occurs in the distribution station area; L sum Indicates the total length of all routes in the distribution area;

[0122] Constraints on the number of single-line distribution terminals:

[0123] 0≤n single-line ≤n max-line

[0124] Among them, n single-line Indicates the number of feeder terminals installed on a trunk line; n max-line Indicates the maximum number of feeder terminals that can be installed on a trunk line.

[0125] Total investment cost constraints:

[0126] C ins ≤C max

[0127] C max It means the investment amount provided by Party A during construction. ins ≤C max It means that the installation cost of the equipment during construction cannot exceed the investment amount provided by Party A.

[0128] The description of S3 is as follows:

[0129] Define the total iteration parameter as K, the current number of iterations as k, and initialize k = 1; let the planetary group of the kth generation be denoted by P, is the i-th planet in the k-th iteration, representing a feeder terminal configuration scheme.

[0130] The description of S4 is as follows:

[0131] Initialize the parameters of each planet, including the planet's position, eccentricity, and orbital period, and randomize the initial position of the planet, as expressed in the following formula:

[0132]

[0133] in, represents the i-th planet (candidate solution) in the search space; N represents the number of candidate solutions in the search space; d represents the dimension of the problem to be optimized; and They represent the upper and lower limits of the j(k)th decision variable respectively; rand[0,1] is a randomly generated number between 0 and 1. The expressions for initializing the orbital eccentricity e and orbital period T are:

[0134] e i =rand [0,1] ,i=1,...,N

[0135] T i =|r|,i=1,...,N

[0136] Where r is a normally distributed random number. i It is related to the gravity in step S7 and can give KOA a certain randomness. i It is related to the length of the semi-major axis of the elliptical orbit, and the semi-major axis length will gradually decrease with time (number of iterations), and the corresponding solution will also move to the promising area where the global optimal solution may be found.

[0137] The description of S5 is as follows:

[0138] Calculate the i-th planet in the k-th generation Fitness And choose a fitness from The highest planet As the sun.

[0139]

[0140] The description of S6 is as follows:

[0141] Calculate the Euclidean distance between the Sun and a planet as follows:

[0142]

[0143] Among them, R i (t) represents the Euclidean distance between dimensions Xi and Xs.

[0144] The description for S7 is as follows:

[0145] To evaluate the gravitational pull of the sun on each planet, the law of universal gravitation is given by F gi (t), the expression is as follows:

[0146]

[0147] in, and Respectively represent M s and m iThe normalized values ​​represent the masses of Xs and Xi, respectively. ε is a very small value, μ(k) is the gravitational constant, and ei is the eccentricity of the planetary orbit, which is between 0 and 1. This value is proposed to give KOA a random characteristic. r1 is a random value generated between 0 and 1 in order to make the gravity value have a greater change during the optimization process; Ri (i.e. R) represents the Euclidean distance between Xs and Xi i (t)) is the normalized value.

[0148] At time t, the mass of sun s and object i is evaluated using fitness f and is simply calculated as follows (considering the minimization problem):

[0149]

[0150] Among them, fit s (t) and worst(t) are expressed as:

[0151]

[0152] Among them, r2 is a randomly generated number between 0 and 1, which is used to disperse the mass values ​​of each planet; (fit i (t) refers to the fitness of object i, i.e., f i k ); μ(k) is a function that decays exponentially with the number of iterations k and is used to control the search accuracy. The expression is as follows:

[0153]

[0154] Among them, γ is a constant; μ0 is the initial value of the gravitational constant; k and K are the current number of iterations and the maximum number of iterations respectively.

[0155] The description of S8 is as follows:

[0156] Calculate the speed of the planet. The expression is as follows:

[0157]

[0158] The expression of l is:

[0159]

[0160] The expression of M is:

[0161] M=(r3×(1-r4)+r4)

[0162] The expression of χ is:

[0163]

[0164] The expression of U is:

[0165]

[0166] The expression of f is:

[0167]

[0168] The expression is:

[0169]

[0170] The expression of M is:

[0171]

[0172] The expression is:

[0173]

[0174] The expression of U2 is:

[0175]

[0176] Among them, V i (t) represents the velocity of planet i at time t; represents the displacement of planet i; r3 and r4 represent randomly generated numbers in the interval [0, 1]; and represents two vectors containing random values ​​between 0 and 1; and represents a solution randomly selected from the population; a i (t) represents the semi-major axis of the elliptical orbit of object i at time t, which can be expressed by Kepler's third law as:

[0177]

[0178] In the proposed algorithm, it is assumed that the semi-major axis of the elliptical orbit of object i gradually decreases with the increase of algebra, where the solution moves towards the promising region where the global optimal solution may be found, The expression is as follows:

[0179]

[0180] The description for S9 is as follows:

[0181] Generate random numbers rd and r, and determine whether r is greater than rd. If r is less than rd, update the distance between the sun and the planet; if r is greater than rd, update the position of the planet. The expression is as follows:

[0182] The updated formula for the distance between the sun and the planet is:

[0183]

[0184] Among them, h is the adaptive factor of the distance between the sun and the current planet at the control time t, which is defined as follows:

[0185]

[0186] Where r is a random number generated based on a normal distribution, a linear decreasing factor from 1 to -2, defined as follows:

[0187] η=(a2-1)×r4+1

[0188] Among them, a2 is a loop control parameter, which gradually decreases from -1 to -2 in T cycles during the entire optimization process and is defined as follows:

[0189]

[0190] in, is the mean of all orbital periods; K is the maximum number of iterations; k is the number of iterations, and % refers to integer division.

[0191] The description of S10 is as follows:

[0192] The best positions for the sun and planets are determined by the following formula:

[0193]

[0194] in, It indicates the best position retained after the above comparison.

[0195] S11 will not be described in detail.

[0196] The description of S12 is as follows:

[0197] It is determined whether the termination time has been reached, if not, the process returns to step S6; if the termination time has been reached, the algorithm process ends. The solution represented by the sun at this time is the optimal layout solution.

[0198] The feeder terminal installation position optimization method provided by the embodiment of the present invention has the following beneficial technical effects:

[0199] Compared with analytical models and pure simulation models under theoretical analysis, semi-physical simulation is closer to the actual situation, and the calculation of power outage loss time is more realistic and more reliable. Most of the current layout research remains at the theoretical level. The application of this technology has opened up a new path for the research on the optimal layout of distribution terminals.

[0200] The feeder terminal installation position optimization method provided by the embodiment of the present invention simulates the entire distribution network fault processing process based on the distribution network simulation platform to obtain the power outage loss cost corresponding to each simulated switch; constructs the loss cost objective function corresponding to each simulated switch according to the power outage loss cost and the equipment investment cost; takes each feeder terminal as a planet, determines the fitness corresponding to the corresponding planet according to each loss cost objective function, calculates the optimized installation position of each feeder terminal in the distribution network according to each fitness and using a preset optimization algorithm, and combines the virtual distribution network simulation platform with the feeder terminal physical entity, and fully considers the fault situation of the distribution network, so as to reasonably and accurately optimize the installation position of the feeder terminal in the distribution network.

[0201] Furthermore, the electrical signal processing board includes an analog output board, a digital input board and a digital output board; accordingly, the whole process of simulating the distribution network fault processing based on the distribution network simulation platform is simulated to obtain the power outage loss cost corresponding to each analog switch, including:

[0202] In response to the fault setting information executed based on the distribution network simulation platform, the current and voltage signals of each simulated switch are obtained; the above-mentioned embodiments can be referred to for description and will not be repeated here.

[0203] The analog output board converts the current and voltage signals of each analog switch, and sends the converted current and voltage signals to the feeder terminal corresponding to the analog switch; the above-mentioned embodiments can be referred to for description and will not be described in detail.

[0204] Each feeder terminal performs fault determination according to the converted current and voltage signals, executes opening and closing actions, and sends a first action signal to the digital input board; the above-mentioned embodiments can be referred to for description and will not be repeated here.

[0205] The digital input board converts the first action signal sent by each feeder terminal, and sends the converted first action signal to the analog switch corresponding to the feeder terminal; the above-mentioned embodiment can be referred to and will not be described in detail.

[0206] After each analog switch is actuated, the second action signal is sent to the digital output board; the description may refer to the above embodiment and will not be repeated here.

[0207] The digital output board converts the second action signal, sends the converted second action signal to the feeder terminal corresponding to the analog switch, obtains the simulation result of the whole process of distribution network fault processing, and calculates the power outage loss cost corresponding to each analog switch according to the simulation result. The above embodiment can be referred to for explanation and will not be repeated here.

[0208] Furthermore, the distribution network simulation platform also includes a power amplifier; accordingly, after the analog output board converts and processes the current and voltage signals of each analog switch, the feeder terminal installation position optimization method also includes:

[0209] The converted current and voltage signals are processed by the power amplifier, and the processed current and voltage signals are sent to the feeder terminal corresponding to the analog switch. The above description can be referred to, and will not be repeated here.

[0210] Furthermore, the loss cost objective function corresponding to each analog switch is constructed according to the power outage loss cost and the equipment investment cost, including:

[0211] The sum of the power outage loss cost and the equipment investment cost is determined as the loss cost objective function corresponding to each analog switch. The above embodiments can be referred to for explanation and will not be described in detail.

[0212] Furthermore, determining the fitness corresponding to the corresponding planet according to each loss cost objective function includes:

[0213] The inverse of each loss cost objective function is determined as the fitness. The above description can be referred to in the above embodiment and will not be repeated here.

[0214] Furthermore, obtaining the equipment investment cost includes:

[0215] The sum of the installation cost of the integrated primary and secondary equipment of the power distribution and the operation and maintenance cost of the integrated primary and secondary equipment of the power distribution is determined as the equipment investment cost. The above-mentioned embodiment can be referred to for explanation and will not be repeated here.

[0216] Further, the preset optimization algorithm includes a Kepler optimization algorithm; accordingly, the optimized installation position of each feeder terminal in the distribution network is calculated according to each fitness and using the preset optimization algorithm, including:

[0217] With network topology constraints, power supply reliability constraints, feeder terminal installation constraints, single trunk feeder terminal quantity constraints, and equipment installation cost constraints as constraint conditions, global optimization is performed by calculating various fitness values, and the global optimization result is used as the optimal installation position of each feeder terminal in the distribution network. The above-mentioned embodiments can be referred to for explanation and will not be repeated here.

[0218] Figure 2 is a structural diagram of a feeder terminal installation position optimization device provided by an embodiment of the present invention, such as Figure 2 As shown, the feeder terminal installation position optimization device provided in the embodiment of the present invention includes a simulation unit 201, a construction unit 202 and an optimization unit 203, wherein:

[0219] The simulation unit 201 is used to simulate the whole process of distribution network fault handling based on the distribution network simulation platform to obtain the power outage loss cost corresponding to each simulated switch; the construction unit 202 is used to construct the loss cost objective function corresponding to each simulated switch according to the power outage loss cost and the equipment investment cost; the optimization unit 203 is used to take each feeder terminal as a planet, determine the fitness corresponding to the corresponding planet according to each loss cost objective function, and calculate the optimized installation position of each feeder terminal in the distribution network according to each fitness and using a preset optimization algorithm; wherein the distribution network simulation platform includes a distribution network simulation model, a simulated switch and a feeder terminal; corresponding simulated switches are respectively arranged at different positions in the line topology of the distribution network simulation model, and each simulated switch represents the installation position of each feeder terminal in the distribution network; each simulated switch is respectively connected to each feeder terminal through an electrical signal processing board.

[0220] Specifically, the simulation unit 201 in the device is used to simulate the entire process of distribution network fault handling based on the distribution network simulation platform to obtain the power outage loss cost corresponding to each simulated switch; the construction unit 202 is used to construct the loss cost objective function corresponding to each simulated switch according to the power outage loss cost and the equipment investment cost; the optimization unit 203 is used to take each feeder terminal as a planet, determine the fitness corresponding to the corresponding planet according to each loss cost objective function, and calculate the optimized installation position of each feeder terminal in the distribution network according to each fitness and using a preset optimization algorithm; wherein the distribution network simulation platform includes a distribution network simulation model, a simulated switch and a feeder terminal; corresponding simulated switches are respectively arranged at different positions in the line topology of the distribution network simulation model, and each simulated switch represents the installation position of each feeder terminal in the distribution network; each simulated switch is respectively connected to each feeder terminal through an electrical signal processing board.

[0221] The feeder terminal installation position optimization device provided by the embodiment of the present invention simulates the entire distribution network fault processing process based on the distribution network simulation platform to obtain the power outage loss cost corresponding to each simulated switch; constructs the loss cost objective function corresponding to each simulated switch according to the power outage loss cost and the equipment investment cost; takes each feeder terminal as a planet, determines the fitness corresponding to the corresponding planet according to each loss cost objective function, calculates the optimized installation position of each feeder terminal in the distribution network according to each fitness and using a preset optimization algorithm, and combines the virtual distribution network simulation platform with the feeder terminal physical entity, and fully considers the fault situation of the distribution network, so as to reasonably and accurately optimize the installation position of the feeder terminal in the distribution network.

[0222] The embodiment of the feeder terminal installation position optimization device provided in the embodiment of the present invention can be specifically used to execute the processing flow of the above-mentioned method embodiments. Its functions are not repeated here, and reference can be made to the detailed description of the above-mentioned method embodiments.

[0223] Figure 3 A schematic diagram of the physical structure of an electronic device provided in an embodiment of the present invention, such as Figure 3 As shown, the electronic device includes: a processor (processor) 301, a memory (memory) 302 and a bus 303;

[0224] The processor 301 and the memory 302 communicate with each other via a bus 303;

[0225] The processor 301 is used to call the program instructions in the memory 302 to execute the methods provided by the above method embodiments, for example, including:

[0226] Based on the distribution network simulation platform, the whole process of distribution network fault handling is simulated to obtain the power outage loss cost corresponding to each simulated switch;

[0227] According to the power outage loss cost and the equipment investment cost, construct a loss cost objective function corresponding to each analog switch;

[0228] Taking each feeder terminal as a planet, determining the fitness corresponding to the corresponding planet according to each loss cost objective function, and calculating the optimal installation position of each feeder terminal in the distribution network according to each fitness and using a preset optimization algorithm;

[0229] Wherein, the distribution network simulation platform includes a distribution network simulation model, a simulation switch and a feeder terminal;

[0230] Different positions in the line topology of the distribution network simulation model are respectively provided with corresponding simulation switches, and each simulation switch represents the installation position of each feeder terminal in the distribution network;

[0231] Each analog switch is respectively connected to each feeder terminal through an electrical signal processing board.

[0232] This embodiment discloses a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium. The computer program includes program instructions. When the program instructions are executed by a computer, the computer can perform the methods provided by the above method embodiments, for example, including:

[0233] Based on the distribution network simulation platform, the whole process of distribution network fault handling is simulated to obtain the power outage loss cost corresponding to each simulated switch;

[0234] According to the power outage loss cost and the equipment investment cost, construct a loss cost objective function corresponding to each analog switch;

[0235] Taking each feeder terminal as a planet, determining the fitness corresponding to the corresponding planet according to each loss cost objective function, and calculating the optimal installation position of each feeder terminal in the distribution network according to each fitness and using a preset optimization algorithm;

[0236] Wherein, the distribution network simulation platform includes a distribution network simulation model, a simulation switch and a feeder terminal;

[0237] Different positions in the line topology of the distribution network simulation model are respectively provided with corresponding simulation switches, and each simulation switch represents the installation position of each feeder terminal in the distribution network;

[0238] Each analog switch is respectively connected to each feeder terminal through an electrical signal processing board.

[0239] This embodiment provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, wherein the computer program enables the computer to execute the methods provided by the above method embodiments, for example, including:

[0240] Based on the distribution network simulation platform, the whole process of distribution network fault handling is simulated to obtain the power outage loss cost corresponding to each simulated switch;

[0241] According to the power outage loss cost and the equipment investment cost, construct a loss cost objective function corresponding to each analog switch;

[0242] Taking each feeder terminal as a planet, determining the fitness corresponding to the corresponding planet according to each loss cost objective function, and calculating the optimal installation position of each feeder terminal in the distribution network according to each fitness and using a preset optimization algorithm;

[0243] Wherein, the distribution network simulation platform includes a distribution network simulation model, a simulation switch and a feeder terminal;

[0244] Different positions in the line topology of the distribution network simulation model are respectively provided with corresponding simulation switches, and each simulation switch represents the installation position of each feeder terminal in the distribution network;

[0245] Each analog switch is respectively connected to each feeder terminal through an electrical signal processing board.

[0246] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0247] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0248] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0249] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0250] In the description of this specification, the description with reference to the terms "one embodiment", "a specific embodiment", "some embodiments", "for example", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0251] The specific embodiments described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for optimizing the installation position of a feeder terminal, characterized in that: include: Based on the distribution network simulation platform, the whole process of distribution network fault handling is simulated to obtain the power outage loss cost corresponding to each simulated switch; According to the power outage loss cost and the equipment investment cost, construct a loss cost objective function corresponding to each analog switch; Taking each feeder terminal as a planet, determining the fitness corresponding to the corresponding planet according to each loss cost objective function, and calculating the optimal installation position of each feeder terminal in the distribution network according to each fitness and using a preset optimization algorithm; Wherein, the distribution network simulation platform includes a distribution network simulation model, a simulation switch and a feeder terminal; Different positions in the line topology of the distribution network simulation model are respectively provided with corresponding simulation switches, and each simulation switch represents the installation position of each feeder terminal in the distribution network; Each analog switch is respectively connected to each feeder terminal through an electrical signal processing board.

2. The feeder terminal installation position optimization method according to claim 1, characterized in that: The electrical signal processing board includes an analog output board, a digital input board and a digital output board; accordingly, the whole process of distribution network fault processing is simulated based on the distribution network simulation platform to obtain the power outage loss cost corresponding to each analog switch, including: In response to the fault setting information executed based on the power distribution network simulation platform, a current and voltage signal of each simulated switch is acquired; The analog output board converts the current and voltage signals of each analog switch and sends the converted current and voltage signals to the feeder terminal corresponding to the analog switch; Each feeder terminal performs fault determination according to the converted current and voltage signals, executes opening and closing actions, and sends a first action signal to the digital input board; The digital input board converts the first action signal sent by each feeder terminal, and sends the converted first action signal to the analog switch corresponding to the feeder terminal; After each analog switch is actuated, a second action signal is sent to the digital output board; The digital output board converts the second action signal, sends the converted second action signal to the feeder terminal corresponding to the analog switch, obtains the simulation result of the whole process of distribution network fault processing, and calculates the power outage loss cost corresponding to each analog switch according to the simulation result.

3. The feeder terminal installation position optimization method according to claim 2, characterized in that: The distribution network simulation platform also includes a power amplifier; accordingly, after the analog output board converts and processes the current and voltage signals of each analog switch, the feeder terminal installation position optimization method also includes: The converted current and voltage signals are processed by the power amplifier, and the processed current and voltage signals are sent to the feeder terminal corresponding to the analog switch.

4. The feeder terminal installation position optimization method according to claim 1, characterized in that: The loss cost objective function corresponding to each analog switch is constructed according to the power outage loss cost and the equipment investment cost, including: The sum of the power outage loss cost and the equipment investment cost is determined as the loss cost objective function corresponding to each analog switch.

5. The feeder terminal installation position optimization method according to claim 1, characterized in that: Determining the fitness corresponding to the corresponding planet according to each loss cost objective function includes: The inverse of each loss cost objective function is determined as the fitness.

6. The feeder terminal installation position optimization method according to claim 1, characterized in that: Obtain the equipment investment cost, including: The sum of the installation costs of the integrated primary and secondary side equipment of power distribution and the operation and maintenance costs of the integrated primary and secondary side supporting equipment of power distribution is determined as the equipment investment cost.

7. The feeder terminal installation position optimization method according to claim 6, characterized in that: The preset optimization algorithm includes a Kepler optimization algorithm; accordingly, the optimized installation position of each feeder terminal in the distribution network is calculated according to each fitness and using the preset optimization algorithm, including: Taking network topology constraints, power supply reliability constraints, feeder terminal installation constraints, single trunk feeder terminal quantity constraints, and equipment installation cost constraints as constraint conditions, a global optimization is performed by calculating each fitness, and the global optimization result is used as the optimized installation position of each feeder terminal in the distribution network.

8. A feeder terminal installation position optimization device, characterized in that: include: A simulation unit is used to simulate the whole process of distribution network fault handling based on the distribution network simulation platform to obtain the power outage loss cost corresponding to each simulated switch; A construction unit, used to construct a loss cost objective function corresponding to each analog switch according to the power outage loss cost and the equipment investment cost; The optimization unit is used to take each feeder terminal as a planet, determine the fitness corresponding to the corresponding planet according to each loss cost objective function, and calculate the optimal installation position of each feeder terminal in the distribution network according to each fitness and using a preset optimization algorithm; Wherein, the distribution network simulation platform includes a distribution network simulation model, a simulation switch and a feeder terminal; Different positions in the line topology of the distribution network simulation model are respectively provided with corresponding simulation switches, and each simulation switch represents the installation position of each feeder terminal in the distribution network; Each analog switch is respectively connected to each feeder terminal through an electrical signal processing board.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

Images