CN115511312B

CN115511312B - Power grid planning method and device and readable storage medium

Info

Publication number: CN115511312B
Application number: CN202211196409.6A
Authority: CN
Inventors: 赵朗; 彭冬; 曾沅; 薛雅玮; 王雪莹; 刘宏杨; 张天琪; 李一铮; 盛浩
Original assignee: State Grid Jiangxi Electric Power Co ltd Ji'an Power Supply Branch; Tianjin University; State Grid Economic and Technological Research Institute
Current assignee: State Grid Jiangxi Electric Power Co ltd Ji'an Power Supply Branch; Tianjin University; State Grid Economic and Technological Research Institute
Priority date: 2022-02-15
Filing date: 2022-09-27
Publication date: 2023-10-10
Anticipated expiration: 2042-09-27
Also published as: CN115511312A

Abstract

The disclosure provides a power grid planning method, a power grid planning device and a readable storage medium. The method comprises the following steps: constructing a power grid network structure, and collecting network parameters related to the power grid network structure, wherein the power grid network structure comprises a plurality of nodes, and at least one line is arranged between every two nodes; determining the total investment cost of a circuit, the total operation cost of the circuit, the total loss cost of the abandoned wind power and the total loss cost of the abandoned wind power of the power grid network structure according to the power grid network structure and the network parameters; determining the power grid operation efficiency of the power grid network structure according to the power grid network structure; establishing an objective function of a power grid network structure according to the total investment cost of the circuit, the total operation cost of the circuit, the loss cost of the abandoned wind power and the operation efficiency of the power grid; and solving the objective function, and determining an optimal solution of the objective function to obtain a planning scheme of the objective power grid network structure, wherein the planning scheme of the objective power grid network structure meets power grid operation constraint.

Description

Power grid planning method and device and readable storage medium

Citation of related application

The application claims priority to a chinese patent application with application number 202210139628.4, entitled "a power grid planning method", filed on the chinese national intellectual property office at 2022, 02 and 15, the entire contents of which are incorporated herein by reference.

Technical Field

The disclosure relates to the field of power grid planning, in particular to a power grid planning method, a device and a readable storage medium.

Background

The traditional power grid planning method generally achieves the optimal economical efficiency on the basis of meeting the newly added load. However, because the network frame is less concerned about whether the transmission efficiency of the network frame is optimal after the network frame is newly built, partial circuits often appear in a high load level and are in a light load state. In addition, in the existing power grid planning method, the result of the random operation simulation of the new energy cannot be effectively linked with the power flow calculation in the power grid planning, and the electric quantity loss caused by insufficient new energy consumption due to the net rack is not truly reflected.

Disclosure of Invention

In view of the above, the present disclosure provides a power grid planning method, so as to solve the technical problem that a result of random operation simulation of a new energy cannot be effectively linked with power flow calculation in power grid planning, and does not truly reflect electric quantity loss caused by insufficient new energy consumption due to grid reasons, thereby effectively selecting a power grid planning scheme with a more reasonable power grid network structure. The disclosure also provides a power grid planning device and a readable storage medium.

To achieve the above object, an aspect of the present disclosure provides a power grid planning method, including: constructing a power grid network structure, and collecting network parameters related to the power grid network structure, wherein the power grid network structure comprises a plurality of nodes, and at least one line is arranged between every two nodes; determining the total investment cost of a circuit, the total operation cost of the circuit, the total loss cost of the abandoned wind power and the total loss cost of the abandoned wind power of the power grid network structure according to the power grid network structure and the network parameters; determining the power grid operation efficiency of the power grid network structure according to the power grid network structure; establishing an objective function of a power grid network structure according to the total investment cost of the circuit, the total operation cost of the circuit, the loss cost of the abandoned wind power and the operation efficiency of the power grid; and solving the objective function, and determining an optimal solution of the objective function to obtain a planning scheme of the objective power grid network structure, wherein the planning scheme of the objective power grid network structure meets power grid operation constraint.

According to an embodiment of the present disclosure, the calculation formula of the total investment cost of the line includes:

wherein C is _I Representing the total investment cost of the line, r ₀ Represents the discount rate, m represents the depreciation period of the line, i, j represents a node number, n _ij Representing the number of newly added lines between node i and node j, c representing line unit investment cost (Yuan/km), L _ij Representing the line length (km) between node i and node j, N _B Representing a set of nodes, X _ij Indicating whether a line between the node i and the node j needs to be constructed, and taking a value of 1 or 0.

According to an embodiment of the present disclosure, a calculation formula of a total operation cost of a line includes:

wherein C is _o Representing the total running cost of the line, d representing the running scene, k representing the number of running scenes, k being an integer greater than or equal to 1, c _price Representing the total electricity price (Yuan/kWh), P of the electric power system _loss Representing the active power loss of the power system, delta t _lossd Representing the time spent running the scene.

According to an embodiment of the present disclosure, a calculation formula of an active network loss of a power system includes:

wherein P is _loss Representing the active power loss of the power system, P _lossij Representing active network loss between node i and node j, i and j representing node numbers, X _ij Indicating whether the line between the node i and the node j needs to be constructed, wherein the value is 1 or 0, r _ij Representing the equivalent resistance (Ω) between node i and node j, S _ij Represents the transmission power (kVA) between node i and node j, U represents the rated voltage, N _B Representing a set of nodes.

According to an embodiment of the present disclosure, the calculation formula of the total loss cost of the discarded wind power includes:

wherein C is _WS Representing the total loss cost of the abandoned wind power, c _w Represents the wind power online electricity price (Yuan/kWh), E _WAP Represents the electric energy loss (kWh) caused by the wind abandoning phenomenon, d represents the operation scene, k represents the number of the operation scenes, k is an integer greater than or equal to 1, and m _d The duration days of the wind abandoning phenomenon under the operation scene d are represented, t represents the days, and n _t Indicating the duration of the wind-abandoning phenomenon on day t, P _wd (t) represents the average output value of the wind power on the t th day under the operation scene d, P _lim-total Representing the total maximum power limit of the grid.

According to an embodiment of the present disclosure, a calculation formula of a total loss cost of the discarded light amount includes:

wherein C is _SS Representing total loss cost of discarded photovoltaic power, cs represents photovoltaic internet power price (Yuan/kWh), E _SAP Represents the electric energy loss (kWh) caused by the photovoltaic phenomenon, d represents the operation scene, k represents the number of the operation scenes, k is an integer greater than or equal to 1, and m _d The duration of the light rejection phenomenon in the operation scene d is represented by the number of days, t represents the number of days, and n _t Indicating the duration of the light rejection phenomenon on day t, P _sd (t) represents the average photovoltaic output value of the t th day under the operation scene d, P _lim-total Representing the total maximum power limit of the grid.

According to an embodiment of the present disclosure, the calculation formula of the total maximum power limit of the power grid includes:

wherein P is _lim-total Representing the total maximum power limit of the power grid, P _lim Representing maximum transmission power of a single line, N _B Represents node set, i and j represent node numbers, X _ij Indicating whether a line between node i and node j needs to be constructed, taking a value of 1 or 0,n _ij representing the number of newly added lines between node i and node j.

According to an embodiment of the present disclosure, the calculation formula of the grid operation efficiency includes:

wherein eta represents the operation efficiency of the power grid, omega _ij Represents the topological objective weight, eta, of the line between node i and node j _ij Representing the load factor of the line between node i and node j, P _ij Representing the actual active power (kW), P, of the line transmission between node i and node j _Ge Stable power control quota (kW) representing power supply outlet, P _LW Representing the economic power delivery (kW) of a line of a network structure of an electric network, N _B Representing a set of nodes, N _GB Representing a collection of nodes that are generator nodes.

According to an embodiment of the present disclosure, the objective function is established using the following formula:

wherein F (X) represents an objective function value of an unknown variable X by whether or not a line between the node i and the node j is constructed, C _I Representing the total investment cost of the line, C _o Representing the total running cost of the line, C _WS Representing the total loss cost of the abandoned wind power, C _SS Indicating the total loss cost of the discarded electric power, and 77 indicating the operation efficiency of the power grid.

According to an embodiment of the present disclosure, wherein the grid operation constraints include: power balance constraints, node voltage constraints, unit output constraints, and line transmission capacity constraints.

Another aspect of the present disclosure provides a power grid planning apparatus, including: the system comprises a construction module, a control module and a control module, wherein the construction module is used for constructing a power grid network structure and collecting network parameters related to the power grid network structure, the power grid network structure comprises a plurality of nodes, and at least one line is arranged between every two nodes; the first determining module is used for determining the total investment cost of the circuit, the total operation cost of the circuit, the total loss cost of the abandoned wind power and the total loss cost of the abandoned wind power of the grid network structure according to the grid network structure and the network parameters; the second determining module is used for determining the power grid operation efficiency of the power grid network structure according to the power grid network structure; the building module is used for building an objective function of a power grid network structure according to the total investment cost of the circuit, the total operation cost of the circuit, the loss cost of the abandoned wind power, the loss cost of the abandoned light power and the operation efficiency of the power grid; the acquisition module is used for solving the objective function, determining the optimal solution of the objective function, and acquiring a planning scheme of the objective power grid network structure, wherein the planning scheme of the objective power grid network structure meets the power grid operation constraint.

Another aspect of the present disclosure also provides a computer-readable storage medium having stored thereon executable instructions that, when executed by a processor, cause the processor to perform the above-described method.

According to the embodiment of the disclosure, the influence of the uncertainty of the wind and solar energy and the operation efficiency of the network structure of the power grid on the power grid planning is considered by the power grid planning method, the result of random operation simulation of the new energy is effectively linked with the power flow calculation in the power grid planning, the electric quantity loss caused by insufficient new energy consumption due to the net rack is truly reflected, a power grid planning scheme with a more reasonable network structure of the power grid can be effectively selected, and the operation efficiency and the economy of the power grid are better balanced comprehensively.

Drawings

FIG. 1 schematically illustrates a flow chart of a power grid planning method according to an embodiment of the present disclosure;

FIG. 2 schematically illustrates a constructed grid network architecture diagram according to an embodiment of the present disclosure;

3 (a) -3 (d) schematically illustrate wind power sustained output graphs under various operating scenarios according to embodiments of the present disclosure;

4 (a) -4 (d) schematically illustrate graphs of photovoltaic sustained output in various operating scenarios according to embodiments of the present disclosure;

FIG. 5 schematically illustrates a block diagram of an optimal grid network according to an embodiment of the present disclosure;

FIG. 6 schematically illustrates a network structure diagram of an optimal power grid determined by a conventional power grid planning method;

fig. 7 schematically illustrates a block diagram of a power grid planning apparatus according to an embodiment of the present disclosure; and

fig. 8 schematically illustrates a block diagram of an electronic device adapted to implement a grid planning method according to an embodiment of the present disclosure.

Detailed Description

For the purposes of promoting an understanding of the principles and advantages of the disclosure, reference will now be made to the embodiments illustrated in the drawings and specific language will be used to describe the same.

In the related art, the requirements of reliability and economic optimization of a power grid are more focused in the traditional power grid planning, but little attention is paid to influencing the network structure of the power grid due to the uncertainty of new energy and the efficiency of the grid frame, and further influencing the transmission efficiency of the power grid.

The utility model provides a planning method for a power grid network structure by considering the uncertainty of new energy, which adopts the method for planning the power grid network structure by considering the uncertainty of new energy, thereby balancing the operation efficiency and the economy of the power grid.

Fig. 1 schematically shows a flow chart of a power grid planning method according to an embodiment of the present disclosure.

As shown in fig. 1, the method includes operations S101 to S105.

In operation S101, a power grid network structure is constructed, and network parameters related to the power grid network structure are collected, wherein the power grid network structure includes a plurality of nodes, and at least one line is provided between every two nodes.

According to embodiments of the present disclosure, constructing a power grid network structure may include planning a plurality of possible operational new lines in the lines between nodes of an existing power grid network structure, or may include constructing a plurality of possible operational new power grid network structures between nodes.

According to an embodiment of the present disclosure, each grid network structure has associated network parameters, which may include: the load of each node in the power grid network structure, the power generation parameter of new energy, the impedance parameter of each line, the maximum active power which can be passed by the line, the line length of each line and the like.

According to embodiments of the present disclosure, each node may be understood as a generator, a power source, a fan, a photovoltaic machine, etc. At least one new path may be included between any two nodes.

In operation S102, a total investment cost of a line of the grid network structure, a total operation cost of the line, a total loss cost of the discarded wind power amount, and a total loss cost of the discarded wind power amount are determined according to the grid network structure and the network parameters.

According to embodiments of the present disclosure, the total investment cost of the lines of the grid network structure may be the sum of the investment costs of the newly built new paths between the nodes, which may be denoted as C _I 。C _I The calculation formula can be expressed as:

wherein C is _I Representing the total investment cost of the line, r ₀ Represents the discount rate, m represents the depreciation period of the line, i and j represent node numbers, n _ij Representing the number of newly added lines between node i and node j, c representing line unit investment cost (Yuan/km), L _ij Representing the line length (km) between node i and node j, N _B Representing a set of nodes, X _ij Indicating whether a line between the node i and the node j needs to be constructed, and taking a value of 1 or 0.

According to embodiments of the present disclosure, when X _ij When the value is 1, the line between the node i and the node j needs to be constructed; when X is _ij When the value is 0, the line between the node i and the node j does not need to be constructed.

According to embodiments of the present disclosure, the total operating cost of the line may be the sum of the operating costs of the line between the nodes. That is, the units at each node are transported during normal use during the life cycleLine loss cost, which can be expressed as C _o 。C _o The calculation formula can be expressed as:

According to the embodiment of the disclosure, the operation scene may be an operation environment of the power grid network structure, and the operation scene may be divided according to a maximum operation mode of the power grid network structure in seasons, for example, may be divided into a maximum operation mode in summer, a minimum operation mode in summer, a maximum operation mode in winter, and a minimum operation mode in winter; the maximum operation mode of the power grid network structure in each day can be divided, and the specific operation scene can be set according to the actual requirement, and details are not repeated here.

According to an embodiment of the present disclosure, an active net loss P of a power system _loss The calculation formula of (2) can be expressed as:

According to the embodiment of the disclosure, the abandoned wind power can be the wind power plant due to technical constraints, power grid network structure constraints and the like There is a portion of the wind power that can be sent out but must be discarded. The total loss cost of the abandoned wind power can be expressed as C _WS 。C _WS The calculation formula of (2) can be expressed as:

According to the embodiment of the disclosure, the light-discarding electric quantity may be a value obtained by subtracting a sum of the maximum transmission electric quantity of the electric power system and the amount of the power to be consumed from the generated energy of the photovoltaic power station. The total loss cost of the discarded electric power can be expressed as C _SS 。C _SS The calculation formula of (2) can be expressed as:

wherein C is _SS Representing the total loss cost of the discarded photovoltaic power, c _s Represents the photovoltaic internet electricity price (Yuan/kWh), E _SAP Represents the electric energy loss (kWh) caused by the photovoltaic phenomenon, d represents the operation scene, k represents the number of the operation scenes, k is an integer greater than or equal to 1, and m _d The duration of the light rejection phenomenon in the operation scene d is represented by the number of days, t represents the number of days, and n _t Indicating the duration of the light rejection phenomenon on day t, P _sd (t) represents the average photovoltaic output value of the t th day under the operation scene d, P _lim-total Representing the total maximum power limit of the grid.

According to the embodiment of the disclosure, in the calculation formula (5) to the upper(6) Total maximum power limit P of the grid in (b) _lim-total The calculation formula of (2) can be expressed as:

wherein P is _lim-total Representing the total maximum power limit of the power grid, P _lim Representing maximum transmission power of a single line, N _B Represents node set, i and j represent node numbers, X _ij Indicating whether the line between the node i and the node j needs to be constructed, wherein the value is 1 or 0, n _ij Representing the number of newly added lines between node i and node j.

In operation S103, a grid operation efficiency of the grid network structure is determined according to the grid network structure.

According to the embodiment of the disclosure, the power grid network structure comprises a plurality of nodes, each node is provided with a unit, and the units can comprise a generator, a power supply, a fan, a photovoltaic machine and the like.

According to embodiments of the present disclosure, the grid operating efficiency may be the operating efficiency of the overall grid network structure, which may be expressed as η. The calculation formula of η can be expressed as:

In operation S104, an objective function of the grid network structure is established according to the total investment cost of the line, the total operation cost of the line, the rejected electricity loss cost, and the grid operation efficiency.

According to an embodiment of the present disclosure, the above calculation formulas (1) to (7) are all the sum variable X _ij The related calculation relation.

According to an embodiment of the present disclosure, according to the above and variable X _ij And (3) establishing a related calculation formula, and establishing an objective function of a power grid network structure taking the uncertainty of new energy sources of wind power and photovoltaic into consideration and the operation efficiency of the power grid.

According to embodiments of the present disclosure, the objective function may be expressed as:

wherein F (X) represents an objective function value of an unknown variable X by whether or not a line between the node i and the node j is constructed, C _I Representing the total investment cost of the line, C _o Representing the total running cost of the line, C _WS Representing the total loss cost of the abandoned wind power, C _SS The total loss cost of the waste light energy is represented, and eta represents the running efficiency of the power grid.

According to an embodiment of the present disclosure, the above objective function expression formula (8) is constructed by the above formulas (1) to (7), and as can be seen from formulas (1) to (7), formulas (1) to (7) are related to the variable X _ij Then the objective function (8) is also related to the variable X _ij By constructing an objective function, determining which line in the power grid network structure needs to be constructed or not, and which line can construct the optimal power grid network structure.

In operation S105, the objective function is solved, and an optimal solution of the objective function is determined, so as to obtain a planning scheme of the objective power grid network structure, where the planning scheme of the objective power grid network structure meets the power grid operation constraint.

According to embodiments of the present disclosure, solving the objective function may determine an optimal solution of the objective function by calculation using an optimization algorithm. The optimization algorithm may include a particle swarm optimization algorithm, among others.

According to embodiments of the present disclosure, the optimal solution of the objective function may be characterized as a planning scheme of the final derived objective grid network structure. The planning scheme of the target power grid network structure meets the power grid operation constraint. Wherein the grid operation constraints may include: power balance constraints, node voltage constraints, unit output constraints, and line transmission capacity constraints.

According to embodiments of the present disclosure, the power balancing constraint may be expressed as:

wherein P is _G，i Representing the active output (kW), Q of the power supply at node i _G，i Representing the reactive output (kVar), P, of the power supply at node i _L，i Representing the active load (kW), Q of node i _L，i Representing the reactive load (kVar) of node i, U _i Voltage (kV) representing node i, U _j Voltage (kV) of node j, G _ij Representing the conductance between nodes i and j, B _ij Representing susceptance, θ, between nodes i and j _ij Representing the phase angle difference between nodes i and j.

According to embodiments of the present disclosure, the node voltage constraint may be a voltage constraint of the unit at each node, and may be expressed as:

U _i，min ≤U _i ≤U _i，max (10)

wherein U is _i Voltage (kV) representing node i, U _i，min Representing the lower voltage limit of node i, U _i，max Representing the upper voltage limit of node i.

In accordance with an embodiment of the present disclosure, in the above equation (10), the node voltage constraint indicates that the above node voltage constraint needs to be satisfied at each node in the grid network structure, i.e., the unit including node i and node j.

According to an embodiment of the disclosure, the node unit output constraint may be an active output constraint of a unit at each node, and may be expressed as:

P _{G，i min} ≤P _G，i ≤P _{G，i max} (11)

wherein P is _G，i Representing the active output (kW) of the power supply at node i, P _{G，i min} Representing the lower limit of the active output of the power supply at node i, P _{G，i max} Representing the upper limit of the active power output of the power supply at node i.

According to an embodiment of the present disclosure, in the above formula (11), the node unit output constraint indicates that the unit at each node in the grid network structure, that is, including the node i and the node j, needs to satisfy the above node unit output constraint.

According to an embodiment of the present disclosure, the line transmission capacity constraint may be a transmission power constraint of a line between the node i and the node j, and may be expressed as:

P _ij ≤P _ij，max (12)

wherein P is _ij Representing the transmission power of the line between node i and node j, P _ij，max Representing the maximum transmission power of the line between node i and node j.

Taking a power grid network structure constructed after planning a plurality of possible running new lines among nodes of the existing power grid network structure as an example and collecting relevant network parameters of the constructed power grid network structure, the running scene can take a summer maximum running mode (abbreviated as 'summer big'), a summer minimum running mode (abbreviated as 'Xia Xiao'), a winter maximum running mode (abbreviated as 'winter big') and a winter minimum running mode (abbreviated as 'winter small') as an example, and the method and the device can realize that the running efficiency and the economy of the power grid can reach comprehensive balance better. It should be noted that this example is only illustrative, and does not limit the protection scope of the present disclosure.

Fig. 2 schematically illustrates a constructed grid network structure diagram according to an embodiment of the present disclosure.

As shown in fig. 2, each number in the diagram represents nodes on two sides of a line, one line can be contained between the nodes, multiple lines can be contained between the nodes, existing established lines can be contained between the nodes, newly-added operable lines can be contained between the nodes, each node is provided with a unit, and each unit can comprise a generator, a power supply, a fan, a photovoltaic machine and the like.

According to an embodiment of the present disclosure, for example, the line unit investment cost c of the newly built line in fig. 2 is 28 ten thousand yuan/km, electricity price c _price Wind power online electricity price c is 0.6 yuan/kWh _w 0.35 yuan/kWh, photovoltaic Internet electricity price c _s 1.45 yuan/kWh.

Fig. 3 (a) -3 (d) schematically illustrate graphs of wind power sustained output in various operating scenarios according to embodiments of the present disclosure.

Referring to fig. 2, a wind farm is connected to node 14, the upper limit of the installed capacity of the wind turbine is 600MW, and the conventional generator sets generate power according to the minimum output. Because the wind resource characteristics are different in different scenes, the wind power output characteristics are also different in each scene. As shown in fig. 3 (a) -3 (d), in each operation scenario, the wind power continuous output varies with time, where fig. 3 (a) -3 (d) are a wind power continuous output curve in scenario 1 ("summer" operation scenario), a wind power continuous output curve in scenario 2 ("Xia Xiao" operation scenario), a wind power continuous output curve in scenario 3 ("winter big" operation scenario), and a wind power continuous output curve in scenario 4 ("winter small" operation scenario), respectively.

In fig. 3 (a), P is according to an embodiment of the present disclosure _lim-total Representing the total maximum power limit of the power grid, 0.6P _{d1 max} Representing the maximum output of the fan in the scene 1; similarly, P in FIGS. 3 (b) -3 (d) _lim-total Representing the total maximum power limit of the power grid, 0.5P _{d2 max} 、0.8P _{d3 max} 、0.7P _{d4 max} Representing the maximum force of the blower in scenes 2, 3, 4, respectively.

Fig. 4 schematically illustrates a graph of photovoltaic sustained output in various operating scenarios in accordance with an embodiment of the present disclosure.

Referring to fig. 2, a photovoltaic electric field is connected to a node 11, the upper limit of the installed capacity of the photovoltaic machine is 540MW, and the conventional photovoltaic machine set generates power according to the minimum output. The photovoltaic output characteristics in different scenes are different due to the fact that the light resource characteristics in different scenes are different. As shown in fig. 4 (a) -4 (d), the photovoltaic sustained output varies with time in each operating scenario. Wherein, fig. 4 (a) -4 (d) are respectively a photovoltaic sustained output curve of scene 1 ("in summer" operation scene), a photovoltaic sustained output curve of scene 2 ("in Xia Xiao" operation scene), a photovoltaic sustained output curve of scene 3 ("in winter" operation scene), and a photovoltaic sustained output curve of scene 4 ("in winter small" operation scene).

In fig. 4 (a), P is according to an embodiment of the present disclosure _lim-total Representing the total maximum power limit of the power grid, 0.9P _{d1 max} Representing the maximum output of the photovoltaic in scenario 1; similarly, P in FIG. 4 (b) -FIG. 4 (d) _lim-total Representing the total maximum power limit of the power grid, 0.85P _{d2 max} 、0.95P _{d3 max} 、0.87P _{d4 max} Representing the maximum output of the photovoltaic in scenes 2, 3, 4, respectively.

According to an embodiment of the present disclosure, network parameters related to the network structure of the power grid of fig. 2 are gathered for the line of fig. 2. As shown in tables 1 and 2. Wherein, table 1 shows network parameters in the network structure of the power grid of fig. 2; table 2 is data relating to each node in the grid network structure of fig. 2.

TABLE 1

TABLE 2

Node	Power generation capacity	Load capacity	Node	Power generation capacity	Load capacity
						1	0	55	10	750	94
2	360	84	11	540	700
						3	0	154	12	0	190
4	0	33	13	0	110
						5	760	639	14	600	32
6	0	199	15	0	200
						7	0	213	16	495	132
8	0	88	17	0	400
						9	0	259	18	142	0

The comparison of balance of power grid operation efficiency and economy is performed after confirming the optimal power grid planning scheme according to the power grid planning scheme of the present disclosure and the conventional planning method, respectively, for the constructed power grid network structure and the collected related networks.

Examples:

fig. 5 schematically illustrates an optimal grid network structure diagram according to an embodiment of the present disclosure.

According to an embodiment of the disclosure, fig. 5 is a target power grid structure obtained by performing optimal solution of an objective function by a particle swarm algorithm with the influence of waste wind and waste light loss and power grid network structure operation efficiency fully considered on the basis of considering economy, wherein the population number can be set to 30, and the maximum iteration number can be 100.

According to an embodiment of the present disclosure, in the grid network structure in fig. 5, according to each index calculation formula, each index cost in each operation scene is calculated, as shown in table 3.

TABLE 3 Table 3

Scene(s)	Line investment (Wanyuan)	Net loss expense (Wan)	Wind and light discarding expense (Wanyuan)	Net rack operation efficiency
					Xiadao (summer)	7040.41	136.15	4349.80	59.85
Xia Xiao	7040.41	145.49	3302.25	65.93
					Dongdao (winter big)	7040.41	134.51	6096.00	58.82
Winter small	7040.41	137.25	4219.35	62.96

According to the embodiment of the present disclosure, since the probability of occurrence of various operation scenarios is considered to be equal, the total index of the optimal grid network structure determined by the grid planning method of the present disclosure can be obtained as shown in table 4.

TABLE 4 Table 4

Comparative example:

fig. 6 schematically shows a structure diagram of an optimal power grid determined by a conventional power grid planning method.

According to the embodiment of the disclosure, fig. 6 is a schematic diagram of a power grid network, which is obtained by solving a conventional power grid planning method by using a particle swarm algorithm without considering wind and light abandoning loss and operating efficiency of the power grid network structure, wherein the population number can be set to 30, and the maximum iteration number can be 100.

According to an embodiment of the present disclosure, in the grid network structure in fig. 6, according to each index calculation formula, each index cost in each operation scene is calculated, as shown in table 5.

TABLE 5

Scene(s)	Line investment (Wanyuan)	Network loss expense (Wanyuan)	Wind and light discarding expense (Wanyuan)
				Xiadao (summer)	6602.71	167.15	6449.80
Xia Xiao	6602.71	185.25	5602.25
				Dongdao (winter big)	6602.71	164.51	6196.00
Winter small	6602.71	175.49	5867.27

According to the embodiment of the present disclosure, since the probability of occurrence of various operation scenarios is considered to be equal, the total index of the optimal grid network structure determined using the conventional grid planning method can be obtained as shown in table 6.

TABLE 6

Various indexes of the power grid network structure according to the embodiment of the present disclosure and the conventional comparative example are compared as shown in table 7.

TABLE 7

It can be seen from table 7 that a double loop needs to be constructed between node 14 and node 15, and this is not the case in the comparative example. The wind and light discarding loss caused in the comparative example is serious, and the planning scheme in the embodiment of the disclosure increases the wind power and photoelectric sending channels, solves the problem of line overload, ensures that the line operates in a more economical state, and realizes better comprehensive balance of the operation efficiency and the economical efficiency of the power grid.

According to the embodiment of the disclosure, the power grid planning scheme is provided based on consideration of the power grid operation efficiency and the uncertainty of new energy, and the power grid planning method can effectively select a power grid planning scheme with a more reasonable power grid structure, so that the comprehensive balance of the power grid operation efficiency and the economy is better achieved, and meanwhile, the problem of serious wind and light abandoning loss caused by wind power and photovoltaic access is also relieved, and the method has practical significance.

Fig. 7 schematically shows a block diagram of a power grid planning apparatus according to an embodiment of the present disclosure.

As shown in fig. 7, the apparatus may include: a construction module 701, a first determination module 702, a second determination module 703, a setup module 704 and an acquisition module 705.

The building module 701 is configured to build a power grid network structure, and collect network parameters related to the power grid network structure, where the power grid network structure includes a plurality of nodes, and at least one line is between every two nodes.

The first determining module 702 is configured to determine, according to the grid network structure and the network parameters, a total investment cost of a line of the grid network structure, a total operation cost of the line, a total loss cost of the discarded wind power, and a total loss cost of the discarded wind power.

The second determining module 703 is configured to determine a grid operation efficiency of the grid network structure according to the grid network structure.

The establishing module 704 is configured to establish an objective function of the grid network structure according to the total investment cost of the line, the total operation cost of the line, the loss cost of the discarded wind power and the grid operation efficiency.

And the obtaining module 705 is configured to solve the objective function, determine an optimal solution of the objective function, and obtain a planning scheme of the objective power grid network structure, where the planning scheme of the objective power grid network structure meets the power grid operation constraint.

Any of the building module 701, the first determining module 702, the second determining module 703, the building module 704, and the obtaining module 705 may be combined in one module to be implemented, or any of the modules may be split into a plurality of modules, according to an embodiment of the present disclosure. Alternatively, at least some of the functionality of one or more of the modules may be combined with at least some of the functionality of other modules and implemented in one module. According to embodiments of the present disclosure, at least one of the building block 701, the first determination block 702, the second determination block 703, the building block 704, and the acquisition block 705 may be implemented at least in part as hardware circuitry, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system on a chip, a system on a substrate, a system on a package, an Application Specific Integrated Circuit (ASIC), or may be implemented in hardware or firmware in any other reasonable way of integrating or packaging the circuitry, or in any one of or a suitable combination of any of the three implementations of software, hardware, and firmware. Alternatively, at least one of the building block 701, the first determination block 702, the second determination block 703, the establishing block 704 and the obtaining block 705 may be at least partly implemented as computer program modules, which when run may perform the respective functions.

As shown in fig. 8, the electronic device according to the embodiment of the present disclosure includes a processor 801 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 802 or a program loaded from a storage section 808 into a Random Access Memory (RAM) 803. The processor 801 may include, for example, a general purpose microprocessor (e.g., a CPU), an instruction set processor and/or an associated chipset and/or a special purpose microprocessor (e.g., an Application Specific Integrated Circuit (ASIC)), or the like. The processor 801 may also include on-board memory for caching purposes. The processor 801 may include a single processing unit or multiple processing units for performing the different actions of the method flows according to embodiments of the disclosure.

In the RAM803, various programs and data required for the operation of the electronic device 800 are stored. The processor 801, the ROM 802, and the RAM803 are connected to each other by a bus 804. The processor 801 performs various operations of the method flow according to the embodiments of the present disclosure by executing programs in the ROM 802 and/or the RAM 803. Note that the program may be stored in one or more memories other than the ROM 802 and the RAM 803. The processor 801 may also perform various operations of the method flows according to embodiments of the present disclosure by executing programs stored in the one or more memories.

According to an embodiment of the present disclosure, the electronic device 800 may also include an input/output (I/O) interface 805, the input/output (I/O) interface 805 also being connected to the bus 804. The electronic device 800 may also include one or more of the following components connected to the I/O interface 805: an input portion 806 including a keyboard, mouse, etc.; an output portion 807 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and a speaker; a storage section 808 including a hard disk or the like; and a communication section 809 including a network interface card such as a LAN card, a modem, or the like. The communication section 809 performs communication processing via a network such as the internet. The drive 810 is also connected to the I/O interface 805 as needed. A removable medium 811 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 810 as needed so that a computer program read out therefrom is mounted into the storage section 808 as needed.

The present disclosure also provides a computer-readable storage medium that may be embodied in the apparatus/device/system described in the above embodiments; or may exist alone without being assembled into the apparatus/device/system. The computer-readable storage medium carries one or more programs which, when executed, implement methods in accordance with embodiments of the present disclosure.

According to embodiments of the present disclosure, the computer-readable storage medium may be a non-volatile computer-readable storage medium, which may include, for example, but is not limited to: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this disclosure, a computer-readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. For example, according to embodiments of the present disclosure, the computer-readable storage medium may include ROM 802 and/or RAM 803 and/or one or more memories other than ROM 802 and RAM 803 described above.

Embodiments of the present disclosure also include a computer program product comprising a computer program containing program code for performing the methods shown in the flowcharts. The program code, when executed in a computer system, causes the computer system to implement the item recommendation method provided by embodiments of the present disclosure.

The above-described functions defined in the system/apparatus of the embodiments of the present disclosure are performed when the computer program is executed by the processor 801. The systems, apparatus, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the disclosure.

In one embodiment, the computer program may be based on a tangible storage medium such as an optical storage device, a magnetic storage device, or the like. In another embodiment, the computer program may also be transmitted, distributed, and downloaded and installed in the form of a signal on a network medium, and/or from a removable medium 811 via a communication portion 809. The computer program may include program code that may be transmitted using any appropriate network medium, including but not limited to: wireless, wired, etc., or any suitable combination of the foregoing.

In such an embodiment, the computer program may be downloaded and installed from a network via the communication section 809, and/or installed from the removable media 811. The above-described functions defined in the system of the embodiments of the present disclosure are performed when the computer program is executed by the processor 801. The systems, devices, apparatus, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the disclosure.

According to embodiments of the present disclosure, program code for performing computer programs provided by embodiments of the present disclosure may be written in any combination of one or more programming languages, and in particular, such computer programs may be implemented in high-level procedural and/or object-oriented programming languages, and/or assembly/machine languages. Programming languages include, but are not limited to, such as Java, c++, python, "C" or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of remote computing devices, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., connected via the Internet using an Internet service provider).

The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

Those skilled in the art will appreciate that the features recited in the various embodiments of the disclosure may be combined in a variety of combinations and/or combinations, even if such combinations or combinations are not explicitly recited in the disclosure. In particular, features recited in various embodiments of the present disclosure may be combined and/or combined in various ways without departing from the spirit and teachings of the present disclosure. All such combinations and/or combinations fall within the scope of the present disclosure.

The foregoing embodiments have been provided for the purpose of illustrating the general principles of the present disclosure, and are not meant to limit the disclosure to the particular embodiments disclosed, but to limit the scope of the disclosure to the particular embodiments disclosed.

Claims

1. A power grid planning method, comprising:

constructing a power grid network structure and collecting network parameters related to the power grid network structure, wherein the power grid network structure comprises a plurality of nodes, and at least one line is arranged between every two nodes;

determining the total investment cost, the total running cost, the total loss cost of the abandoned wind power and the total loss cost of the abandoned wind power of the circuit of the power grid network structure according to the power grid network structure and the network parameters;

Determining the power grid operation efficiency of the power grid network structure according to the power grid network structure;

establishing an objective function of the power grid network structure according to the total investment cost of the circuit, the total running cost of the circuit, the total loss cost of the abandoned wind power and the running efficiency of the power grid, wherein a calculation formula of the total loss cost of the abandoned wind power comprises:

wherein C is _WS Representing the total loss cost of the abandoned wind power, c _w The unit of the wind power online price is Yuan/kWh, E _WAP Represents the electric energy loss caused by the wind abandoning phenomenon, the unit is kWh, d represents the operation scene, k represents the number of the operation scene, k is an integer greater than or equal to 1, and m _d The duration days of the wind abandoning phenomenon under the operation scene d are represented, t represents the days, and n _t Indicating the duration of the wind-abandoning phenomenon on day t, P _wd (t) represents the average output value of the wind power on the t th day under the operation scene d, P _lim-total Representing a total maximum power limit of the power grid;

the calculation formula of the total loss cost of the light discarding electric quantity comprises the following steps:

wherein C is _SS Representing the total loss cost of the discarded photovoltaic power, c _s Represents the photovoltaic internet electricity price, the unit is Yuan/kWh, E _SAP Represents the electric energy loss caused by the photovoltaic phenomenon, the unit is kWh, d represents the operation scene, k represents the number of the operation scenes, k is an integer greater than or equal to 1, and m _d The duration of the light rejection phenomenon in the operation scene d is represented by the number of days, t represents the number of days, and n _t Indicating the duration of the light rejection phenomenon on day t, P _sd (t) represents the average photovoltaic output value of the t th day under the operation scene d, P _lim-total Representing a total maximum power limit of the power grid;

the calculation formula of the total maximum power limit of the power grid comprises the following steps:

wherein P is _lim-total Representing the total maximum power limit of the power grid, P _lim Representing maximum transmission power of a single line, N _B Represents node set, i and j represent node numbers, X _ij Indicating whether the line between the node i and the node j needs to be constructed, wherein the value is 1 or 0, n _ij Representing the number of newly added lines between node i and node j;

solving the objective function, and determining an optimal solution of the objective function to obtain a planning scheme of a target power grid network structure, wherein the planning scheme of the target power grid network structure meets power grid operation constraint, and the objective function is established by adopting the following formula:

wherein F (X) represents a target function of whether or not a line between the node i and the node j is constructed as an unknown variable XNumerical value, C _I Representing the total investment cost of the line, C _o Representing the total running cost of the line, C _WS Representing the total loss cost of the abandoned wind power, C _SS Representing the total loss cost of the discarded photovoltaic power, eta representing the operating efficiency of the power grid, wherein the operating constraint of the power grid comprises: power balance constraint, node voltage constraint, unit output constraint and line transmission capacity constraint;

The power balance constraint is expressed as:

wherein P is _G，i Representing the active output of the power supply at the node i, wherein the unit is kW, Q _G，i The reactive output of the power supply at node i is expressed in kVar, P _L，i Representing the active load of node i in kW, Q _L，i Representing the reactive load of node i in kVar, U _i Representing the voltage at node i in kV, U _j Representing the voltage at node j in kV, G _ij Representing the conductance between nodes i and j, B _ij Representing susceptance, θ, between nodes i and j _ij Representing the phase angle difference between nodes i and j;

the node voltage constraint is expressed as:

U _i，min ≤U _i ≤U _i，max (10)

wherein U is _i，min Representing the lower voltage limit of node i, U _i，max Representing the upper voltage limit of node i, wherein in the formula (10), the node voltage constraint represents that each node in the power grid network structure, namely, the unit comprising node i and node j, is required to meet the node voltage constraint;

the unit output constraint is expressed as:

P _{G，i min} ≤P _G，i ≤P _{G，i max} (11)

wherein P is _{G，i min} Representing the lower limit of the active output of the power supply at node i, P _{G，i max} Representing the upper limit of the active power output of the power supply at node i, atIn the formula (11), the node unit output constraint indicates that the unit including the node i and the node j in each node in the power grid network structure is required to meet the node unit output constraint;

The line transmission capacity constraint is expressed as:

P _ij ≤P _ij，max (12)

2. The method of claim 1, wherein the calculation formula of the total investment cost of the line comprises:

wherein C is _I Representing the total investment cost of the line, r ₀ Represents the discount rate, m represents the depreciation period of the line, i and j represent node numbers, n _ij Representing the number of newly added lines between node i and node j, c representing the investment cost of line units, the units being Yuan/km, L _ij Representing the line length between node i and node j in km, N _B Representing a set of nodes, X _ij Indicating whether a line between the node i and the node j needs to be constructed, and taking a value of 1 or 0.

3. The method of claim 2, wherein the calculation formula of the total running cost of the line comprises:

wherein C is _o Representing the total running cost of the line, d representing the running scene, k representing the number of running scenes, k being an integer greater than or equal to 1, c _price Representing the total electricity price of the power system in units of Yuan/kWh, P _loss Representing the active power loss of the power system, delta t _lossd Representing the time spent running the scene.

4. A method according to claim 3, wherein the calculation formula of the active net loss of the power system comprises:

Wherein P is _loss Representing the active power loss of the power system, P _lossij Representing active network loss between node i and node j, i and j representing node numbers, X _ij Indicating whether the line between the node i and the node j needs to be constructed, wherein the value is 1 or 0, r _ij Representing the equivalent resistance between node i and node j in Ω, S _ij Representing the transmission power between node i and node j in kVA, U representing the nominal voltage, N _B Representing a set of nodes.

5. The method of claim 1, wherein the calculation formula for grid operation efficiency comprises:

wherein eta represents the operation efficiency of the power grid, omega _ij Represents the topological objective weight, eta, of the line between node i and node j _ij Representing the load factor of the line between node i and node j, P _ij Representing the actual active power of the line transmission between node i and node j, in kW, P _Ge The steady power control limit representing the power supply outlet line is kW, P _LW The unit of the economic transmission power of the line of the network structure of the power grid is kW, N _B Representing a set of nodes, N _GB Representing a collection of nodes that are generator nodes.

6. A power grid planning apparatus comprising:

the system comprises a construction module, a control module and a control module, wherein the construction module is used for constructing a power grid network structure and collecting network parameters related to the power grid network structure, the power grid network structure comprises a plurality of nodes, and at least one line is arranged between every two nodes;

The first determining module is used for determining the total investment cost, the total running cost, the total loss cost of the abandoned wind power and the total loss cost of the abandoned wind power of the circuit of the power grid network structure according to the power grid network structure and the network parameters;

the second determining module is used for determining the power grid operation efficiency of the power grid network structure according to the power grid network structure;

the building module is configured to build an objective function of the grid network structure according to the total investment cost of the line, the total operation cost of the line, the total loss cost of the discarded wind power and the grid operation efficiency, wherein a calculation formula of the total loss cost of the discarded wind power includes:

the acquisition module is used for solving the objective function, determining an optimal solution of the objective function, and acquiring a planning scheme of a target power grid network structure, wherein the planning scheme of the target power grid network structure meets power grid operation constraint, and the objective function is established by adopting the following formula:

Wherein F (X) represents an objective function value of an unknown variable X by whether or not a line between the node i and the node j is constructed, C _I Representing the total investment cost of the line, C _o Representing the total running cost of the line, C _WS Representing the total loss cost of the abandoned wind power, C _SS Representing the total loss cost of the discarded photovoltaic power, eta representing the operating efficiency of the power grid, wherein the operating constraint of the power grid comprises: power balance constraint, node voltage constraint, unit output constraint and line transmission capacity constraint;

the power balance constraint is expressed as:

the node voltage constraint is expressed as:

U _i，min ≤U _i ≤U _i，max (10)

The unit output constraint is expressed as:

P _{G，i min} ≤P _G，i ≤P _{G，i max} (11)

wherein P is _{G，i min} Representing the lower limit of the active output of the power supply at node i, P _{G，i max} Representing the upper limit of the active power output of the power supply at node i, in equation (11) above, the node unit output constraint represents the power output at each node in the grid network structure, i.e., including node i and node iiThe units at the node j all need to meet the output constraint of the node unit;

the line transmission capacity constraint is expressed as:

P _ij ≤P _ij，max (12)

7. A computer readable storage medium having stored thereon executable instructions which, when executed by a processor, cause the processor to perform the method according to any of claims 1-5.