CN113572171A - Emergency resource optimal scheduling method and device for power distribution network and storage medium - Google Patents
Emergency resource optimal scheduling method and device for power distribution network and storage medium Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/04—Circuit arrangements for ac mains or ac distribution networks for connecting networks of the same frequency but supplied from different sources
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/007—Arrangements for selectively connecting the load or loads to one or several among a plurality of power lines or power sources
- H02J3/0075—Arrangements for selectively connecting the load or loads to one or several among a plurality of power lines or power sources for providing alternative feeding paths between load and source according to economic or energy efficiency considerations, e.g. economic dispatch
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- H—ELECTRICITY
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- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
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Abstract
The invention relates to an emergency resource optimal scheduling method, device and storage medium for a power distribution network, wherein the method comprises the steps of setting the target of optimal allocation of power distribution network resources to maximize the difference between the power supply income of key loads of the power distribution network and the resource allocation cost, the power supply income of the key loads of the power distribution network is the expected value measurement of the power supply income of the key loads of the power distribution network under different fault scenes, and the resource allocation cost comprises the cost of purchasing fuel or renting energy storage equipment; and setting constraint conditions for optimizing and allocating the power distribution network resources to obtain a resource allocation model, acquiring load data of the power distribution network, loading the load data into the resource allocation model, and solving to obtain an emergency resource optimization scheduling scheme of the power distribution network. Compared with the prior art, the method has the advantages of comprehensive consideration, high accuracy, high calculation efficiency and the like.
Description
Technical Field
The invention relates to the field of emergency resource scheduling of a power distribution network, in particular to an emergency resource optimal scheduling method, device and storage medium of the power distribution network.
Background
After the power distribution network is found to have fault risks, a resource allocation scheme needs to be formulated so as to maximize possible power supply benefits of key loads of the power distribution network in a disaster and in a later period of time, and disaster response capacity of the power distribution network is improved. The specific power supply measure in the disaster process is to utilize an emergency power supply in the power distribution network to supply power to key loads in the power distribution network through a key path formed by the switching action of the power distribution network.
Different kinds of power supply resources exist in the power distribution network, such as fuel oil, natural gas, battery energy storage and the like. Among the power supply resources, some resources (such as energy storage devices) can be directly configured on the load side, and directly supply power to the load in a disaster, so that the power supply can play a role of an Uninterruptible Power Supply (UPS); other power supply resources (such as natural gas, fuel, etc.) require generators to achieve energy conversion, and therefore, most of them can only be configured in emergency power sources. In the present invention, the following two representative power supply resources are considered:
fuel (natural gas, diesel, etc.): the unit power generation cost is low; considering that the load side does not have the requirement of a generator or load side line protection, the fuel can only be configured in an emergency power supply;
an energy storage device: the cost of unit power generation is high; can be configured in both the load side and the emergency power supply.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides an emergency resource optimal scheduling method, device and storage medium for a power distribution network, which are comprehensively considered and have high accuracy.
The purpose of the invention can be realized by the following technical scheme:
an emergency resource optimization scheduling method for a power distribution network comprises the steps of setting the target of power distribution network resource optimization allocation to maximize the difference between the power supply income of key loads of the power distribution network and the resource allocation cost, wherein the power supply income of the key loads of the power distribution network is the expected value measurement of the power supply income of the key loads of the power distribution network under different fault scenes, and the resource allocation cost comprises the cost of purchasing fuel or renting energy storage equipment; and setting constraint conditions for optimizing and allocating the power distribution network resources to obtain a resource allocation model, acquiring load data of the power distribution network, loading the load data into the resource allocation model, and solving to obtain an emergency resource optimization scheduling scheme of the power distribution network.
Further, the calculation expression of the objective of the optimal allocation of the power distribution network resources is as follows:
in the formula, C is a key load set in the power distribution network, and C is a key load in the key load set; pcThe active power of the key load c during normal operation;
the power supply time of the key load c in recovery; wcThe power supply benefit of unit power for the key load; e (-) is an expected value of the key load recovery level when the probability distribution of the fault scene of the power distribution network is considered; and G is the total cost of the power supply resources configured for the power distribution network.
Further, the calculation expression of the total cost of the power distribution network configured power supply resources is as follows:
in the formula, gfIs the unit cost of electricity generation of the fuel, gbThe unit power generation cost of the energy storage equipment is shown, M is an emergency power supply set in the power distribution network, and M is an emergency power supply in the emergency power supply set; f. ofmFuel for emergency power supply m, emThe energy of the energy storage device allocated to the emergency power supply m is measured in the form of electric energy, ecEnergy storage capacity provided for the distribution network at load c.
Further, the constraint conditions for the optimal allocation of the power distribution network resources include: the total cost of the power distribution network resource allocation scheme does not exceed the total limit constraint, the maximum resource storage constraint which can be stored at the emergency power supply and the key load, the energy conservation relation in the emergency power supply, the energy conservation relation at the key load of the power distribution network, the recovery time range of each key load in the power distribution network, and the power flow constraint which needs to be met by each power supply path from the emergency power supply to the key load.
Further, the expression of the constraint condition for optimizing and allocating the power distribution network resources is as follows:
G≤GM
em,fm,ec≥0,m∈M,c∈C
in the formula, GMAllocating the budget upper limit value of the scheme for the power distribution network resources;
is the original energy storage equipment capacity in the emergency power supply m,
the maximum capacity that can be accommodated in the emergency power supply m;
is the original fuel reserve of the emergency power supply m,
the maximum fuel reserve that the emergency power supply m can accommodate,
is the original energy storage device capacity of the load c,
the maximum capacity that load c can accommodate;
is the average value of the active power output when the emergency power supply m recovers the load c,
the average value of the internal equivalent load power of the emergency power supply m is obtained;
the recovery time for the load c to be powered by the emergency power supply m,
recovery time, p, for a load c powered by its energy storage device1And p2Are all arbitrary phases in the system, p1，p2E is formed by { a, b, c }, wherein a, b and c respectively represent a phase, b phase and c phase; b is a bus set u on a recovery path in the power distribution network1、u2For restoring different buses on the path, and u1,u2∈B；
Is a bus u1P of (a)1Phase and bus u2P of (a)2Mutual inductance between phases; (.)*Is a conjugate operator; vcThe voltage of the phase in which the critical load c is located,
the upper limit value of the phase voltage of the key load c,
is the phase electricity of the critical load cLower limit of voltage, L is a line set on a restoration path in the power distribution network, L is a line in the line set, IlIs the current on the line i and,
is the upper limit value of the current on the line l, D is the DG set in the emergency power supply, D is the DG in the DG set, PdActive power, Q, output for ddFor the reactive power output by d,
an upper limit value of the apparent power output by d.
Further, the total recovery time of each distribution network key load is the sum of the power supply time of each emergency power supply in the distribution network and the power supply time of the energy storage device of the distribution network, and the expression of the total recovery time of each distribution network key load is as follows:
in the formula (I), the compound is shown in the specification,
the total recovery time of each distribution grid critical load.
Further, the solving process of the resource allocation model includes setting the following assumptions for simplification, where the assumptions include:
the first assumption is that: in the pre-disaster resource allocation stage, only the tidal current feasibility of a power supply path between an emergency power supply and a key load is considered, and the specific operation regulation and control in the disaster process is subsequently formulated by a recovery strategy according to actual conditions;
the second assumption is that: for recovery paths powered by the same emergency power supply for the same critical load, it is assumed that whether the paths are shut down or not are mutually independent; when a plurality of possible restoration paths exist between the emergency power supply and the critical load, sequentially selecting corresponding paths from low to high according to the outage probability to execute restoration;
the third assumption is that: estimating the recovery time of the critical load in the worst possible situation; when the network loss consumed on the recovery path is the maximum, the consumption speed of the power supply resource of the emergency power supply is the fastest, and the estimated critical load recovery time is the lower limit value of the critical load recovery time.
Further, the solving process of the resource allocation model further comprises the following simplified processes:
let zmIs a 0-1 variable representing the participation of an emergency power supply M in a load recovery state, and belongs to the M, zm1 means that the emergency power supply m participates in the load recovery, otherwise zm0, thereby reducing the goal of the resource deployment model to the following mixed integer programming problem:
wherein k is a recovery path,
when the load c is recovered by using the recovery path k, the average active power of the load;
the constraints of the resource allocation model include:
G≤GM
em,fm,ec≥0,m∈M,c∈C
zm∈{0,1},m∈M
the invention also provides an emergency resource optimal scheduling device of the power distribution network, which comprises a memory and a processor, wherein the memory stores a computer program, and the processor calls the computer program to execute the steps of the emergency resource optimal scheduling method of the power distribution network.
The invention also provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to execute the emergency resource optimal scheduling method for the power distribution network.
Compared with the prior art, the invention has the following advantages:
(1) the method takes the difference between the power supply income of the maximized power distribution network key load and the resource allocation cost as the target of the optimized allocation of the power distribution network emergency resources, and considers the total amount constraint of the allocation cost, the power supply resource storage constraint of the emergency power supply and the load, the recovery time constraint of the key load, the power flow constraint of the emergency power supply to the power distribution network key load power supply path and other constraint conditions to solve, so that the scheduling scheme of applying the emergency power supply to the power distribution network key load, which can maximize the income, can be obtained, and has the advantages of comprehensive consideration, high accuracy and the like.
(2) The invention considers that the established power distribution network resource allocation optimization model is a nonlinear stochastic programming model. The model not only contains non-convex power flow constraints, but also needs to search a power supply path from the emergency power supply to the key load on the premise of considering the outage probability of equipment in the power distribution network, and the calculation amount is large. Therefore, the invention provides the solution hypothesis and optimization of the resource allocation optimization model, simplifies the resource allocation optimization model into the mixed integer programming problem, is beneficial to reducing the calculation amount and improving the calculation efficiency.
Drawings
Fig. 1 is a schematic flowchart of an emergency resource optimal scheduling method for a power distribution network according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a topology structure of an IEEE123 bus distribution network provided in an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1
Referring to fig. 1, the present embodiment provides an emergency resource optimal scheduling method for a power distribution network, including:
s1: setting a target of optimizing and allocating power distribution network resources to maximize a difference between power supply income of key loads of the power distribution network and resource allocation cost, wherein the power supply income of the key loads of the power distribution network is measured by expected values of the power supply income of the key loads of the power distribution network under different fault scenes, and the resource allocation cost comprises the cost of purchasing fuel or renting energy storage equipment; and setting constraint conditions for optimizing and allocating the power distribution network resources to obtain a resource allocation model.
The calculation expression of the target of the power distribution network resource optimization allocation is as follows:
in the formula, C is a key load set in the power distribution network, and C is a key load in the key load set; pcThe active power of the key load c during normal operation;
the power supply time of the key load c in recovery; wcThe power supply benefit of unit power for the key load; e (-) is an expected value of the key load recovery level when the probability distribution of the fault scene of the power distribution network is considered; g is the total cost of power supply resource configuration of the power distribution network, and the calculation expression is as follows:
in the formula, gfIs the unit cost of electricity generation of the fuel, gbThe unit power generation cost of the energy storage equipment is shown, M is an emergency power supply set in the power distribution network, and M is an emergency power supply in the emergency power supply set; f. ofmFuel for emergency power supply m, emThe energy of the energy storage device allocated to the emergency power supply m is measured in the form of electric energy, ecEnergy storage capacity provided for the distribution network at load c.
In the resource allocation of the power distribution network, the constraint conditions comprise total amount constraint of allocation cost, power supply resource storage constraint of emergency power supplies and loads, recovery time constraint of key loads and power flow constraint of power supply paths from the emergency power supplies to the key loads of the power distribution network.
G≤GM
em,fm,ec≥0,m∈M,c∈C
In the formula, GMAllocating the budget upper limit value of the scheme for the power distribution network resources;
is the original energy storage equipment capacity in the emergency power supply m,
the maximum capacity that can be accommodated in the emergency power supply m;
is the original fuel reserve of the emergency power supply m,
the maximum fuel reserve that the emergency power supply m can accommodate,
is the original energy storage device capacity of the load c,
the maximum capacity that load c can accommodate;
is the average value of the active power output when the emergency power supply m recovers the load c,
the average value of the internal equivalent load power of the emergency power supply m is obtained;
for load c from emergencyThe recovery time of the power supply m,
recovery time, p, for a load c powered by its energy storage device1And p2Are all arbitrary phases in the system, p1，p2E is formed by { a, b, c }, wherein a, b and c respectively represent a phase, b phase and c phase; b is a bus set u on a recovery path in the power distribution network1、u2For restoring different buses on the path, and u1,u2∈B；
Is a bus u1P of (a)1Phase and bus u2P of (a)2Mutual inductance between phases; (.)*Is a conjugate operator; vcThe voltage of the phase in which the critical load c is located,
the upper limit value of the phase voltage of the key load c,
is the lower limit value of the phase voltage of the key load c, L is a line set on a recovery path in the power distribution network, L is a line in the line set, IlIs the current on the line i and,
is the upper limit value of the current on the line l, D is the DG set in the emergency power supply, D is the DG in the DG set, PdActive power, Q, output for ddFor the reactive power output by d,
an upper limit value of the apparent power output by d.
The constraint conditions respectively correspond to that the total cost of the power distribution network resource allocation scheme does not exceed the total limit constraint, the maximum resource storage constraint which can be stored at the emergency power supply and the key load, the energy conservation relation in the emergency power supply, the energy conservation relation at the key load of the power distribution network, the recovery time range of each key load in the power distribution network, and the power flow constraint which needs to be met by each power supply path from the emergency power supply to the key load.
Further, the total recovery time of each distribution network key load is the sum of the power supply time of each emergency power supply in the distribution network and the power supply time of the energy storage device of the distribution network, and the expression of the total recovery time of each distribution network key load is as follows:
in the formula (I), the compound is shown in the specification,
the total recovery time of each distribution grid critical load.
The established power distribution network resource allocation optimization model is a nonlinear stochastic programming model. The model not only contains non-convex power flow constraints, but also needs to search a power supply path from the emergency power supply to the key load on the premise of considering the outage probability of equipment in the power distribution network, and the calculation amount is large. Therefore, the following proposes a method for transforming and solving the resource allocation optimization model.
(1) Simplifying assumptions
S2: to simplify the resource deployment model, the following assumptions are made in solving:
the first assumption is that: in the pre-disaster resource allocation stage, only the tidal current feasibility of a power supply path between an emergency power supply and a key load is considered, and the specific operation regulation and control in the disaster process is subsequently formulated by a recovery strategy according to actual conditions;
the second assumption is that: for recovery paths powered by the same emergency power supply for the same critical load, it is assumed that whether the paths are shut down or not are mutually independent; when a plurality of possible restoration paths exist between the emergency power supply and the critical load, sequentially selecting corresponding paths from low to high according to the outage probability to execute restoration;
the third assumption is that: estimating the recovery time of the critical load in the worst possible situation; when the network loss consumed on the recovery path is the maximum, the consumption speed of the power supply resource of the emergency power supply is the fastest, and the estimated critical load recovery time is the lower limit value of the critical load recovery time.
(2) Solution of optimization model
S3: in a graph theory model of a power distribution network, an emergency power supply and a key load are abstracted into nodes. And searching communication path paths between all emergency power supplies and the critical loads in the power distribution network by depth-first traversal (depth-first traversal). And further respectively carrying out power flow verification on the paths, and only reserving feasible paths meeting power flow constraints.
For all restoration paths k connecting between emergency power supply m and load c1,k2,...,knInstruction:
in the formula (I), the compound is shown in the specification,
the average output power of the emergency power supply when power is supplied by adopting a path k;
outputting an upper limit value of average power for the emergency power supply in all recovery paths for connecting the emergency power supply m and the load c;
the power supply recovery time for the load c in the path k;
and recovering the lower limit value of the power supply time for the load in all recovery paths for connecting the emergency power supply m and the load c.
In the context of the optimization model, the model,
given an upper limit value of (A), will
Substitution into
In this equation, in
Is equal to
Namely:
let zmIs a 0-1 variable representing the participation of an emergency power supply M in a load recovery state, and belongs to the M, zm1 means that the emergency power supply m participates in the load recovery, otherwise zm0, thereby reducing the goal of the resource deployment model to the following mixed integer programming problem:
wherein k is a recovery path,
to recover the load c using the recovery path k, the average active power of the load.
The constraints considered include:
G≤GM
em,fm,ec≥0,m∈M,c∈C
zm∈{0,1},m∈M
in the model, non-convex constraints are converted into constraints according to whether the emergency power supply participates in load recovery.
And S4, acquiring load data of the power distribution network, loading the load data into the resource allocation model, solving, acquiring an emergency resource optimal scheduling scheme, and performing emergency resource optimal scheduling.
The embodiment also provides an emergency resource optimal scheduling device for the power distribution network, which includes a memory and a processor, where the memory stores a computer program, and the processor calls the computer program to execute the steps of the emergency resource optimal scheduling method for the power distribution network.
The present embodiment also provides a computer-readable storage medium, which stores a computer program, where the computer program is executed by a processor to perform the method for optimally scheduling emergency resources of the power distribution network.
Examplestest
The provided emergency power supply resource allocation model is tested by adopting an IEEE123 bus distribution network, and the topology is shown in figure 2. Emergency power is connected to the bus bars 50, 56 and 66. The 5 critical loads are connected at the bus bars 37, 46, 90, 94 and 106, respectively, and their weights (W)c) Set to 50, 10 yuan/kWh, respectively. According to the forecast information of extreme natural disasters, the failure rate of each line in the power distribution network system is 0.06 through prediction calculation, and the grid-connected failure rate of the emergency power supply is 0.02.
In the example test, the three-phase unbalanced load flow of the power distribution network is calculated through OpenDSS, and the optimization problem is solved by CPLEX.
(1) Basic example
And 43 feasible power supply paths for connecting the emergency power supply and the critical load are obtained through path search and power flow verification in the power distribution network. The number of paths is shown in table 1 for different emergency power supplies and critical loads.
TABLE 1 number of possible restoration paths between emergency power supply and critical load
And solving the optimization model of resource allocation to obtain the maximum expected benefit of the power distribution network when the EPS-56 and EPS-66 participate in load recovery. At this time, the resource allocation scheme of the distribution network and the expected power restoration time of each critical load are shown in tables 2 to 4, respectively.
Table 2 basic examples of emergency power source resource allocation scheme
Table 3 load side resource allocation scheme of basic examples
TABLE 4 load Power restoration time (h) of basic examples
It can be seen from the table that the distribution network is only provided with fuel in 2 emergency power supplies and reaches the respective maximum fuel reserve capacity, since the unit cost of the fuel is lower than that of the energy storage device. On the load side, the amount of energy storage device regulation is maximized because CL-37 and CL-46 are important (high power supply). In terms of recovery time, CL-37 and CL-46 respectively use 2 emergency power supplies to ensure continuous power supply during power failure time besides using self-equipped energy storage equipment to supply power. And only CL-94 of other loads is powered back by EPS-66 for 0.12 h. The objective function value of the model is 23850 yuan, which is the maximum expected benefit of the power distribution network obtained through resource allocation.
(2) Resource allocation scheme for recovery of different emergency power supplies
Taking the situation that 3 emergency power supplies all participate in load recovery as an example, the method is compared with the optimal resource allocation scheme of the power distribution network. Let zm1, m 1,2,3 when ignoring constraints:
in the case of (3), the resource deployment model is transformed into a linear programming problem.
Resource allocation scheme of emergency power supplies when 53 emergency power supplies participate in recovery
The amounts of resource allocation on the emergency power and load sides in the table with regard to recovery are all the same, except for the increased fuel allocation in the EPS-50. In terms of load recovery time, EPS-56 provides power to CL-46 for 3.99h, while the recovery power time for CL-94 increases. Although the power supply revenue obtained by the distribution grid is increased at this time compared to when only EPS-56 and EPS-66 participate in the restoration, the expected revenue of the distribution grid is reduced because it increases the resource deployment cost at the same time.
Resource allocation scheme of load side when 63 emergency power supplies all participate in recovery
Table 73 power supply recovery time (h) of load when all emergency power sources participate in recovery
For other combinations of emergency power supply participating in load restoration, the optimization objective function value of the resource allocation model is shown in table 7.
TABLE 8 maximum expected revenue for distribution network when different emergency power supplies participate in recovery
As can be seen in table 8, the maximum expected revenue obtained from the distribution network varies among the different combinations of emergency power sources participating in load restoration. And solving the emergency power supply participation load recovery combination when the result obtained by solving the resource allocation optimization model corresponds to the maximum expected income.
(3) Resource allocation scheme under different conditions
For a given power distribution network, the resource allocation scheme is related to factors such as the price of power supply resources, the size of equivalent load in an emergency power supply, the original resource reserve and the maximum capacity of the original resource reserve. The effectiveness of the proposed optimization decision method is tested here when these factors are changed separately.
A. Price of power supply resources
The purchase cost of fuel in the market is reduced by 50%, and the configuration cost of the energy storage device is increased by 100%, namely the cost is changed from 4 yuan/kWh to 20 yuan/kWh to 2 yuan/kWh and 40 yuan/kWh respectively. In this case, the resource allocation plan of the power distribution network and the power restoration time of each critical load are obtained by solving the problem shown in table 9, table 10, and table 11, respectively.
TABLE 9 resource Allocation results for Emergency Power supplies when Power supply resource prices change
TABLE 10 resource Allocation results on load side for Power supply resource price changes
TABLE 11 Power restoration time (h) for load when power supply resource price changes
As can be seen from the table, the amount of energy storage equipment deployed by the distribution grid at CL-37 and CL-46 is reduced due to the increased cost of the energy storage equipment. These 2 loads are also more powered by the fuel in the emergency power supply. At this point, a fuel reserve is also provided in EPS-50 and used to restore power to CL-46.
B. Equivalent load in emergency power supply
Due to the increase of the power generation power of the renewable energy DG in the emergency power supply, the internal equivalent load of 3 emergency power supplies is respectively reduced to 50% of the original internal equivalent load.
As can be seen from the table, since the internal equivalent load in the emergency power supply is reduced, 3 emergency power supplies can be used for load restoration, and the fuel reserves thereof respectively reach the maximum reserve capacity. At this time, other loads except CL-90 are powered continuously within TO. The optimization objective function value is increased from 23850 yuan to 36620 yuan, which shows that when the internal equivalent load is reduced, the emergency power supply can use more emergency power supply resources for load recovery of the power distribution network, so that the disaster coping capability of the power distribution network is improved.
TABLE 12 resource Allocation result of Emergency Power supply when equivalent load inside Emergency Power supply changes
TABLE 13 resource allocation results on load side when equivalent load changes inside emergency power supply
TABLE 14 Power restoration time (h) of load when equivalent load inside emergency power supply changes
C. Maximum resource reserve capacity of emergency power supply
Let the maximum energy storage device capacities of EPS-50 and EPS-56 increase by 50%, respectively, while the maximum fuel reserve capacity of EPS-66 decreases by 50%. The resource allocation scheme of the power distribution network and the power restoration time of each key load obtained by solving the problem are shown in table 15, table 16 and table 17, respectively.
TABLE 15 resource Allocation results for Emergency Power supplies when the maximum resource reserve Capacity of the Emergency Power supply changes
TABLE 16 resource Allocation result on load side when maximum resource reserve capacity of Emergency Power supply changes
TABLE 17 Power restoration time (h) of load when maximum resource reserve capacity of emergency power supply changes
As can be seen from the table, EPS-66 is no longer involved in load restoration due to its reduced maximum fuel reserve capacity. The resource deployment scenario increases fuel and energy storage device deployment in EPS-50 and EPS-56 and is used to restore CL-37 and CL-46, respectively.
The foregoing detailed description of the preferred embodiments of the invention has been presented. It should be understood that numerous modifications and variations could be devised by those skilled in the art in light of the present teachings without departing from the inventive concepts. Therefore, the technical solutions available to those skilled in the art through logic analysis, reasoning and limited experiments based on the prior art according to the concept of the present invention should be within the scope of protection defined by the claims.
Claims (10)
1. The method for optimizing and scheduling the emergency resources of the power distribution network is characterized by comprising the steps of setting the target of optimizing and allocating the resources of the power distribution network to maximize the difference between the power supply income of the key loads of the power distribution network and the resource allocation cost, wherein the power supply income of the key loads of the power distribution network is the expected value measurement of the power supply income of the key loads of the power distribution network under different fault scenes, and the resource allocation cost comprises the cost of purchasing fuel or renting energy storage equipment; and setting constraint conditions for optimizing and allocating the power distribution network resources to obtain a resource allocation model, acquiring load data of the power distribution network, loading the load data into the resource allocation model, and solving to obtain an emergency resource optimization scheduling scheme of the power distribution network.
2. The method for optimally scheduling the emergency resources of the power distribution network according to claim 1, wherein the computational expression of the target for optimally allocating the power distribution network resources is as follows:
in the formula, C is a key load set in the power distribution network, and C is a key load in the key load set; pcThe active power of the key load c during normal operation;
the power supply time of the key load c in recovery; wcThe power supply benefit of unit power for the key load; e (-) is an expected value of the key load recovery level when the probability distribution of the fault scene of the power distribution network is considered; and G is the total cost of the power supply resources configured for the power distribution network.
3. The method for optimally scheduling the emergency resources of the power distribution network according to claim 2, wherein the calculation expression of the total cost of the power distribution network configured with the power supply resources is as follows:
in the formula, gfIs the unit cost of electricity generation of the fuel, gbFor the unit power generation cost of the energy storage equipment, M is an emergency power supply set in the power distribution network, and M is an emergency power supplyAn emergency power supply in the collection; f. ofmFuel for emergency power supply m, emThe energy of the energy storage device allocated to the emergency power supply m is measured in the form of electric energy, ecEnergy storage capacity provided for the distribution network at load c.
4. The method according to claim 3, wherein the constraint conditions for the optimal allocation of power distribution network resources include: the total cost of the power distribution network resource allocation scheme does not exceed the total limit constraint, the maximum resource storage constraint which can be stored at the emergency power supply and the key load, the energy conservation relation in the emergency power supply, the energy conservation relation at the key load of the power distribution network, the recovery time range of each key load in the power distribution network, and the power flow constraint which needs to be met by each power supply path from the emergency power supply to the key load.
5. The method for optimal scheduling of emergency resources of a power distribution network according to claim 4, wherein the expression of the constraint condition for optimal allocation of power distribution network resources is as follows:
G≤GM
em,fm,ec≥0,m∈M,c∈C
Vc U≤Vc≤Vc M,c∈C
in the formula, GMAllocating the budget upper limit value of the scheme for the power distribution network resources;
is the original energy storage equipment capacity in the emergency power supply m,
the maximum capacity that can be accommodated in the emergency power supply m;
is the original fuel reserve of the emergency power supply m,
the maximum fuel reserve that the emergency power supply m can accommodate,
is the original energy storage device capacity of the load c,
the maximum capacity that load c can accommodate;
is the average value of the active power output when the emergency power supply m recovers the load c,
the average value of the internal equivalent load power of the emergency power supply m is obtained;
the recovery time for the load c to be powered by the emergency power supply m,
recovery time, p, for a load c powered by its energy storage device1And p2Are all arbitrary phases in the system, p1，p2E is formed by { a, b, c }, wherein a, b and c respectively represent a phase, b phase and c phase; b is a bus set u on a recovery path in the power distribution network1、u2For restoring different buses on the path, and u1,u2∈B；
Is a bus u1P of (a)1Phase and bus u2P of (a)2Mutual inductance between phases; (.)*Is a conjugate operator; vcThe voltage of the phase in which the critical load c is located,
is the upper limit value, V, of the phase voltage of the critical load cc UIs the lower limit value of the phase voltage of the key load c, L is a line set on a recovery path in the power distribution network, L is a line in the line set, IlIs the current on the line i and,
is the upper limit value of the current on the line l, D is the DG set in the emergency power supply, D is the DG in the DG set, PdActive power, Q, output for ddFor the reactive power output by d,
an upper limit value of the apparent power output by d.
6. The method for optimally scheduling the emergency resources of the power distribution network according to claim 5, wherein the total recovery time of the key loads of each power distribution network is the sum of the power supply time of each emergency power supply and the power storage equipment of the power distribution network, and the expression of the total recovery time of the key loads of each power distribution network is as follows:
in the formula (I), the compound is shown in the specification,
the total recovery time of each distribution grid critical load.
7. The method according to claim 6, wherein the solving process of the resource allocation model includes setting the following assumptions for simplification, and the assumptions include:
the first assumption is that: in the pre-disaster resource allocation stage, only the tidal current feasibility of a power supply path between an emergency power supply and a key load is considered, and the specific operation regulation and control in the disaster process is subsequently formulated by a recovery strategy according to actual conditions;
the second assumption is that: for recovery paths powered by the same emergency power supply for the same critical load, it is assumed that whether the paths are shut down or not are mutually independent; when a plurality of possible restoration paths exist between the emergency power supply and the critical load, sequentially selecting corresponding paths from low to high according to the outage probability to execute restoration;
the third assumption is that: estimating the recovery time of the critical load in the worst possible situation; when the network loss consumed on the recovery path is the maximum, the consumption speed of the power supply resource of the emergency power supply is the fastest, and the estimated critical load recovery time is the lower limit value of the critical load recovery time.
8. The method according to claim 6, wherein the solving process of the resource allocation model further comprises the following simplified processes:
let zmIs a 0-1 variable representing the participation of an emergency power supply M in a load recovery state, and belongs to the M, zm1 means that the emergency power supply m participates in the load recovery, otherwise zm0, thereby reducing the goal of the resource deployment model to the following mixed integer programming problem:
wherein k is a recovery path,
when the load c is recovered by using the recovery path k, the average active power of the load;
the constraints of the resource allocation model include:
G≤GM
em,fm,ec≥0,m∈M,c∈C
zm∈{0,1},m∈M
9. an emergency resource optimization scheduling device for a power distribution network, comprising a memory and a processor, wherein the memory stores a computer program, and the processor calls the computer program to execute the steps of the method according to any one of claims 1 to 8.
10. A computer-readable storage medium, characterized in that a computer program is stored on the computer-readable storage medium, which computer program is executed by a processor for performing the method according to any one of claims 1 to 8.
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