CN116316583A - Power distribution network system toughness improving method, device and equipment based on energy storage sharing and storage medium - Google Patents
Power distribution network system toughness improving method, device and equipment based on energy storage sharing and storage medium Download PDFInfo
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- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
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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
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00004—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the power network being locally controlled
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- 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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- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
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Abstract
The invention discloses a method, a device, equipment and a storage medium for improving toughness of a power distribution network system based on energy storage sharing, wherein the method comprises the following steps: acquiring user load data, real-time electricity price, power grid data and user load loss data after faults; establishing an optimization model of the toughness of the power distribution network system, wherein the optimization model of the toughness of the power distribution network system comprises an objective function and constraint conditions; and inputting the acquired data into an optimization model of the system toughness of the power distribution network, and solving to obtain a scheduling scheme of shared energy storage under the system toughness angle. The system has the advantages of low cost, flexibility and practicability, stronger toughness of the power distribution system, faster operation speed and easy popularization.
Description
Technical Field
The invention belongs to the technical field of power distribution network systems, and relates to a power distribution network system toughness improving method, device and equipment based on energy storage sharing and a storage medium.
Background
In recent years, with the increasing popularity of distributed power generation resources and the continuous progress of information communication technologies, the safety and stability of a power system are gradually and widely paid attention to the academia and industry. The electrochemical energy storage system can be installed on the user side to avoid power loss of the user due to flexibility and convenience, and operation safety of the power distribution network system is guaranteed. Then, the unit capacity price of the current electrochemical energy storage system is higher, the place where the power distribution network breaks down is also random, and the large-scale installation of energy storage as a system for standby is difficult.
Disclosure of Invention
The purpose is as follows: in order to overcome the defects in the prior art, the invention provides a method, a device, equipment and a storage medium for improving the toughness of a power distribution network system based on energy storage sharing, which are used for resisting extreme disasters of the power distribution network system, reducing the system fault loss, simultaneously reducing the total energy storage investment requirement and improving the operation efficiency of the power distribution network system.
The technical scheme is as follows: in order to solve the technical problems, the invention adopts the following technical scheme:
in a first aspect, the present invention provides a method for improving toughness of a power distribution network system based on energy storage sharing, including:
acquiring user load data, real-time electricity price, power grid data and user load loss data after faults;
establishing an optimization model of the toughness of the power distribution network system, wherein the optimization model of the toughness of the power distribution network system comprises an objective function and constraint conditions;
and inputting the acquired data into an optimization model of the system toughness of the power distribution network, and solving to obtain a scheduling scheme of shared energy storage under the system toughness angle.
In some embodiments, the user load data comprises annual load data of users throughout the power distribution network system;
the real-time electricity price adopts the national unified peak Gu Ping three-hour electricity price;
the power grid data comprise the connection relation between the power distribution network system and the upper power grid, the resistance and reactance values of each branch and the upper limit of the transmission power of each branch;
the load loss data of the user after the fault comprises the load variation of the user after the fault occurs.
Further, the user load data and the user load loss data after the fault are acquired at least 15 minutes.
In some embodiments, the objective function of the optimization model of the power distribution network system toughness is:
wherein T epsilon T represents the running time of the power distribution network, and b epsilon N representsUser index G e G in distribution network b Indexing of distributed power for user b, C g Unit cost for user distributed generation, P t,b,g For the distributed power generation of the user,
for the purchase price of the upper power grid, +.>
For the purchase power of the upper power grid, +.>
Cost per loss of power for the user, +.>
For the electricity demand of user b at time t, p t,b For the actual functional electrical load of the user in the fault state, Δt is the time step, K e K represents the index of the user leasing the stored energy, +.>
Price for power storage of a user leasing unit, +.>
Stored energy power leased for the user, +.>
Price of the capacity of the unit energy store leased for the user, < >>
And (5) the energy storage capacity leased for the user.
In some embodiments, constraints of the optimization model of the power distribution network system toughness include charge-discharge state constraints of the shared energy storage, charge-discharge constraints of the shared energy storage, local power balance constraints, power flow constraints of the power distribution network, and reactive power generation constraints of the distributed power source.
Further, the charge-discharge state constraint of the shared energy storage is:
wherein:
indicating that the shared energy store leased by subscriber b is in a charged state,/->
The shared energy storage leased by the user b is in a discharging state, and K epsilon K represents the index of the leased energy storage of the user;
further, the charge-discharge constraint of the shared energy storage is:
wherein:
state of charge of stored energy leased for time t, < >>
Charging and discharging power of energy storage leased by user respectively, < ->
For the lower and upper limit of the state of charge of the energy store k,/>
Energy storage capacity leased for the user, +.>
Stored energy power leased for the user, +.>
Indicating that the shared energy store leased by subscriber b is in a charged state,
indicating that the shared energy store leased by user b is in a discharged state, P total To share the total power of the stored energy E total To share the total capacity of the store, K e K represents the index of the user leased store.
Further, the local power balancing constraint is:
wherein p is t,b For the actual functional electrical load of the user in the fault condition,
charging and discharging power respectively for leased energy storage of user, P t,b,g Distributed generation for a user, +.>
The electricity purchasing quantity of the upper power grid is obtained;
further, the power flow constraint of the distribution network is as follows:
wherein: l epsilon L is a collection of power transmission lines of the power distribution network, b epsilon N norm User set for normal region, b.epsilon.N fault As a set of users of the failure zone,
active and reactive power on line l, respectively, +.>
Is a Boolean variable, representing the fault state of the line, S l For the upper limit of the transmission power on line l, < >>
Active and reactive power flowing into user b for period t, respectively, +.>
Active and reactive power of user b is tapped for period t, respectively, +.>
Charging and discharging power, p, respectively of energy storage leased by a user t,b For the actual functional electrical load of the user in the fault state +.>
For purchasing electricity of the upper power grid, P t,b,g Distributed generation for a user, +.>
Charging and discharging reactive power, q, respectively, of user b at time t t,b For the actual reactive power load of the user in the fault state +.>
Reactive power, Q, purchased for consumer b to the upper grid t,b,g Reactive power output for the distributed power supply of user b, < >>
Reactive power demand for user b at time t;
further, the reactive power generation constraint of the distributed power supply is as follows:
wherein: p (P) t,b,g For the distributed generation of electricity of the user, Q t,b,g Reactive power output, P, for user b's distributed power supply b,g,max ,Q b,g,max The upper active and reactive limits of power generation for the distributed power supply installed at user b, respectively.
In a second aspect, the present invention provides a power distribution network system toughness improving device based on energy storage sharing, including:
a data acquisition module configured to: acquiring user load data, real-time electricity price, power grid data and user load loss data after faults;
a model building module configured to: establishing an optimization model of the toughness of the power distribution network system, wherein the optimization model of the toughness of the power distribution network system comprises an objective function and constraint conditions;
a solution acquisition module configured to: and inputting the acquired data into an optimization model of the system toughness of the power distribution network, and solving to obtain a scheduling scheme of shared energy storage under the system toughness angle.
In a third aspect, the present invention provides a storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the method of the first aspect.
In a fourth aspect, the present invention provides an apparatus comprising,
one or more processors, one or more memories, and one or more programs, wherein the one or more programs are stored in the one or more memories and configured to be executed by the one or more processors, the one or more programs comprising instructions for performing any of the methods of the first aspect.
The beneficial effects are that: the method, the device, the equipment and the storage medium for improving the toughness of the power distribution network system based on energy storage sharing have the following advantages: the sudden faults in the power distribution network are backed up by utilizing the shared energy storage of the user side, so that the power utilization satisfaction of the energy producers and consumers is improved and the power failure rate of the user is reduced while the safe and stable operation of the whole power distribution network is ensured. The shared energy storage can simultaneously meet the standby requirements of a plurality of users, and has higher use value.
Drawings
FIG. 1 is a schematic diagram of a system application according to an embodiment of the invention;
FIG. 2 is a flow chart of a method according to an embodiment of the invention.
Detailed Description
The invention is further described below with reference to the drawings and examples. The following examples are only for more clearly illustrating the technical aspects of the present invention, and are not intended to limit the scope of the present invention.
In the description of the present invention, the meaning of a number is one or more, the meaning of a number is two or more, and greater than, less than, exceeding, etc. are understood to exclude the present number, and the meaning of a number is understood to include the present number. The description of the first and second is for the purpose of distinguishing between technical features only and should not be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated or implicitly indicating the precedence of the technical features indicated.
In the description of the present invention, the descriptions of the terms "one embodiment," "some embodiments," "illustrative embodiments," "examples," "specific examples," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Example 1
As shown in fig. 2, a method for improving toughness of a power distribution network system based on energy storage sharing includes:
s1, acquiring user load data, real-time electricity price, power grid data and user load loss data after faults;
s2, establishing an optimization model of the toughness of the power distribution network system, wherein the optimization model of the toughness of the power distribution network system comprises an objective function and constraint conditions;
and S3, inputting the acquired data into an optimization model of the system toughness of the power distribution network, and solving to obtain a scheduling scheme of shared energy storage under the system toughness angle.
In some specific embodiments, referring to fig. 1, which shows a schematic diagram of a power distribution network system based on energy storage sharing in this embodiment, a method for improving toughness of the power distribution network system based on energy storage sharing includes the following steps:
s1, acquiring user load data, real-time electricity price, power grid data and load loss data of a user after faults, wherein the load loss data are used for transmitting the collected data into an optimization model as parameters;
further, the user load data comprises annual load data of users in the whole power distribution network system, and the data acquisition interval is minimum for 15 minutes.
Further, the real-time electricity price adopts the national unified peak Gu Ping three-hour electricity price.
Further, the power grid data comprises connection relation between the power distribution network system and the upper power grid, resistance and reactance values of each branch, and upper limit of transmission power of each branch.
Further, the load loss data of the user after the fault comprises the load change quantity of the user after the fault occurs, and the data acquisition interval is minimum for 15 minutes.
S2, establishing an optimization model of the toughness of the power distribution network system, wherein the optimization model of the toughness of the power distribution network system comprises an objective function and constraint conditions;
according to the method, the running cost of the power distribution network system under the fault condition is analyzed, and an optimization model and corresponding constraint conditions of the toughness of the power distribution network system are established;
when a sudden fault occurs in a power distribution network system, reducing the fault running cost of the power distribution network system is an important index for measuring the toughness of the power distribution network system. Therefore, the embodiment aims to minimize the running cost of the power distribution network system after the fault, including the power generation cost, the load loss cost and the emergency cost of the shared energy storage. The model is as follows:
wherein: t epsilon T represents the running time of the power distribution network, b epsilon N represents the index of users in the power distribution network, G epsilon G b Indexing of distributed power for user b, C g Unit cost for user distributed generation, P t,b,g For the distributed power generation of the user,
for the purchase price of the upper power grid, +.>
For the purchase power of the upper power grid, +.>
Cost per loss of power for the user, +.>
For the electricity demand of user b at time t, p t,b For the actual functional electrical load of the user in the fault state, Δt is the time step, K e K represents the index of the user leasing the stored energy, +.>
Price for power storage of a user leasing unit, +.>
Stored energy power leased for the user, +.>
Price of the capacity of the unit energy store leased for the user, < >>
And (5) the energy storage capacity leased for the user.
Considering the local energy balance of the user, the present embodiment lists the power balance constraint considering the shared energy storage in the fault state, so the local power balance constraint of the user is:
wherein p is t,b For the actual functional electrical load of the user in the fault condition,
charging and discharging power respectively for leased energy storage of user, P t,b,g Distributed generation for a user, +.>
And the electricity purchasing quantity of the upper power grid is obtained.
Besides the local power generation and consumption energy balance of the user, the power flow constraint of the whole power distribution network also needs to be added into an optimization model, so that the power flow constraint of the power distribution network in the embodiment is as follows:
wherein: l epsilon L is a collection of power transmission lines of the power distribution network, b epsilon N norm User set for normal region, b.epsilon.N fault As a set of users of the failure zone,
active and reactive power on line l, respectively, +.>
Is a Boolean variable, representing the fault state of the line, S l For the upper limit of the transmission power on line l, < >>
Active and reactive power flowing into user b for period t, respectively, +.>
Respectively for time period t to flow out usersb active and reactive power, +.>
Charging and discharging power, p, respectively of energy storage leased by a user t,b For the actual functional electrical load of the user in the fault state +.>
For purchasing electricity of the upper power grid, P t,b,g Distributed generation for a user, +.>
Charging and discharging reactive power, q, respectively, of user b at time t t,b For the actual reactive power load of the user in the fault state +.>
Reactive power, Q, purchased for consumer b to the upper grid t,b,g Reactive power output for the distributed power supply of user b, < >>
For the reactive power demand of subscriber b at time t.
Considering the reactive power output of the distributed power supply, the user-installed distributed power supply also has an upper limit of power generation, so the present embodiment models the reactive power generation constraint of the distributed power supply as follows:
wherein: p (P) t,b,g For the distributed generation of electricity of the user, Q t,b,g Reactive power output, P, for user b's distributed power supply b,g,max ,Q b,g,max The upper active and reactive limits of power generation for the distributed power supply installed at user b, respectively.
The embodiment analyzes the cost of electricity consumption and leasing shared energy storage of each user in the power distribution network, and in the power distribution network, each user needs to meet own electricity consumption requirement and pay a certain cost of leasing shared energy storage.
The shared energy storage leased by each user cannot be in a charging and discharging state at the same time, so the charging and discharging state of the shared energy storage is constrained as follows:
wherein:
indicating that the shared energy store leased by subscriber b is in a charged state,/->
And (4) indicating that the shared energy storage leased by the user b is in a discharged state, and K epsilon K indicates the index of the leased energy storage of the user.
The energy storage leased by the user cannot exceed the upper limit of the leased energy storage in the charging and discharging process, so that the charging and discharging constraint of the shared energy storage is as follows:
wherein:
state of charge of stored energy leased for time t, < >>
Charging and discharging power of energy storage leased by user respectively, < ->
For the lower and upper limit of the state of charge of the energy store k,/>
Energy storage capacity leased for the user, +.>
Stored energy power leased for the user, +.>
Indicating that the shared energy store leased by subscriber b is in a charged state,
indicating that the shared energy store leased by user b is in a discharged state, P total To share the total power of the stored energy E total To share the total capacity of the store, K e K represents the index of the user leased store.
And S3, inputting the acquired data into an optimization model of the system toughness of the power distribution network, and solving to obtain a scheduling scheme of shared energy storage under the system toughness angle.
The method is suitable for toughness improvement of the power distribution network system, the operation toughness of the power distribution network system is improved by applying the investment decision model for sharing energy storage from the power distribution network angle, the energy storage configuration benefits of all the producers and consumers are ensured from the power distribution network production and consumption perspective, a new thought is provided for toughness improvement of the power distribution network, and the power loss rate of the power distribution network in the fault period is effectively reduced.
Example 2
In a second aspect, this embodiment provides a toughness improving device for a power distribution network system based on energy storage sharing, including:
a data acquisition module configured to: acquiring user load data, real-time electricity price, power grid data and user load loss data after faults;
a model building module configured to: establishing an optimization model of the toughness of the power distribution network system, wherein the optimization model of the toughness of the power distribution network system comprises an objective function and constraint conditions;
a solution acquisition module configured to: and inputting the acquired data into an optimization model of the system toughness of the power distribution network, and solving to obtain a scheduling scheme of shared energy storage under the system toughness angle.
Example 3
In a third aspect, the present embodiment provides a storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the method described in embodiment 1.
Example 4
In a fourth aspect, the present invention provides an apparatus comprising,
one or more processors, one or more memories, and one or more programs, wherein the one or more programs are stored in the one or more memories and configured to be executed by the one or more processors, the one or more programs comprising instructions for performing any of the methods described in embodiment 1.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The foregoing is only a preferred embodiment of the invention, it being noted that: it will be apparent to those skilled in the art that various modifications and adaptations can be made without departing from the principles of the present invention, and such modifications and adaptations are intended to be comprehended within the scope of the invention.
Claims (10)
1. The utility model provides a distribution network system toughness promotes method based on energy storage sharing which characterized in that includes:
acquiring user load data, real-time electricity price, power grid data and user load loss data after faults;
establishing an optimization model of the toughness of the power distribution network system, wherein the optimization model of the toughness of the power distribution network system comprises an objective function and constraint conditions;
and inputting the acquired data into an optimization model of the system toughness of the power distribution network, and solving to obtain a scheduling scheme of shared energy storage under the system toughness angle.
2. The energy storage sharing-based power distribution network system toughness improvement method according to claim 1, wherein the user load data comprises annual load data of users in the whole power distribution network system;
the real-time electricity price adopts the national unified peak Gu Ping three-hour electricity price;
the power grid data comprise the connection relation between the power distribution network system and the upper power grid, the resistance and reactance values of each branch and the upper limit of the transmission power of each branch;
the load loss data of the user after the fault comprises the load variation of the user after the fault occurs.
3. The energy storage sharing-based power distribution network system toughness improvement method according to claim 1 or 2, wherein the user load data and the post-fault user load loss data acquisition interval is at least 15 minutes.
4. The energy storage sharing-based power distribution network system toughness improvement method according to claim 1, wherein an objective function of an optimization model of the power distribution network system toughness is:
wherein T epsilon T represents the running time of the power distribution network, b epsilon N represents the index of users in the power distribution network, G epsilon G b Indexing of distributed power for user b, C g Unit cost for user distributed generation, P t,b,g For the distributed power generation of the user, C t w For the electricity purchase price of the upper power grid,
for the purchase power of the upper power grid, +.>
Cost per loss of power for the user, +.>
For the electricity demand of user b at time t, p t,b For the actual functional electrical load of the user in the fault state, Δt is the time step, K e K represents the index of the user leasing the stored energy, +.>
Price for power storage of a user leasing unit, +.>
Stored energy power leased for the user, +.>
Price of the capacity of the unit energy store leased for the user, < >>
And (5) the energy storage capacity leased for the user.
5. The energy storage sharing-based power distribution network system toughness improvement method according to claim 1, wherein constraint conditions of an optimization model of the power distribution network system toughness comprise a charge and discharge state constraint of the shared energy storage, a charge and discharge constraint of the shared energy storage, a local power balance constraint, a power flow constraint of the power distribution network and a reactive power generation constraint of the distributed power supply.
6. The energy-storage-sharing-based power distribution network system toughness improvement method according to claim 5, wherein the charge and discharge state constraint of the shared energy storage is:
wherein:
indicating that the shared energy store leased by subscriber b is in a charged state,/->
The shared energy storage leased by the user b is in a discharging state, and K epsilon K represents the index of the leased energy storage of the user;
and/or, the charge-discharge constraint of the shared energy storage is:
wherein:
state of charge of stored energy leased for time t, < >>
Charging and discharging power of energy storage leased by user respectively, < ->
For the lower and upper limit of the state of charge of the energy store k,/>
The energy storage capacity leased for the user,
stored energy power leased for the user, +.>
Indicating that the shared energy store leased by subscriber b is in a charged state,/->
Indicating that the shared energy store leased by user b is in a discharged state, P total To share the total power of the stored energy E total To share the total capacity of the store, K e K represents the index of the user leased store.
7. The energy storage sharing-based power distribution network system toughness improvement method according to claim 5, wherein the local power balance constraint is:
wherein p is t,b For the actual functional electrical load of the user in the fault condition,
charging and discharging power respectively for leased energy storage of user, P t,b,g Distributed generation for a user, +.>
The electricity purchasing quantity of the upper power grid is obtained;
and/or, the power flow constraint of the distribution network is as follows:
wherein: l epsilon L is a collection of power transmission lines of the power distribution network, b epsilon N norm User set for normal region, b.epsilon.N fault As a set of users of the failure zone,
active and reactive power on line l, respectively, +.>
Is a Boolean variable, representing the fault state of the line, S l For the upper limit of the transmission power on line l, < >>
Active and reactive power flowing into user b for period t, respectively, +.>
Active and reactive power of user b is tapped for period t, respectively, +.>
Charging and discharging power, p, respectively of energy storage leased by a user t,b For the actual functional electrical load of the user in the fault state +.>
For purchasing electricity of the upper power grid, P t,b,g Distributed generation for a user, +.>
Charging and discharging reactive power, q, respectively, of user b at time t t,b For the actual reactive power load of the user in the fault state +.>
Reactive power, Q, purchased for consumer b to the upper grid t,b,g Reactive power output for the distributed power supply of user b, < >>
Reactive power demand for user b at time t;
and/or the reactive power generation constraint of the distributed power source is:
wherein: p (P) t,b,g For the distributed generation of electricity of the user, Q t,b,g Reactive power output, P, for user b's distributed power supply b,g,max ,Q b,g,max The upper active and reactive limits of power generation for the distributed power supply installed at user b, respectively.
8. Power distribution network system toughness hoisting device based on energy storage sharing, characterized by comprising:
a data acquisition module configured to: acquiring user load data, real-time electricity price, power grid data and user load loss data after faults;
a model building module configured to: establishing an optimization model of the toughness of the power distribution network system, wherein the optimization model of the toughness of the power distribution network system comprises an objective function and constraint conditions;
a solution acquisition module configured to: and inputting the acquired data into an optimization model of the system toughness of the power distribution network, and solving to obtain a scheduling scheme of shared energy storage under the system toughness angle.
9. A storage medium having stored thereon a computer program, which when executed by a processor performs the steps of the method according to any of claims 1 to 7.
10. An apparatus, characterized in that: comprising the steps of (a) a step of,
one or more processors, one or more memories, and one or more programs, wherein the one or more programs are stored in the one or more memories and configured to be executed by the one or more processors, the one or more programs comprising instructions for performing any of the methods of claims 1-7.
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| CN117252034B (en) * | 2023-11-14 | 2024-02-02 | 山东理工大学 | Shared leasing energy storage double-layer planning model based on robust optimization and demand defending |
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