CN112966854A - User side energy storage device configuration method and device, computer equipment and storage medium - Google Patents
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Abstract
The application relates to a method and a device for configuring a user-side energy storage device, computer equipment and a storage medium, wherein the configuration method comprises the steps of obtaining configuration data of the user-side energy storage device in a preset time period; establishing a target function of the user side energy storage device configuration based on the configuration data of the user side energy storage device; determining constraint conditions of the configuration of the user-side energy storage device based on the configuration data of the user-side energy storage device; and constructing a mixed integer linear programming configuration module of the energy storage device at the user side according to the objective function and the constraint condition so as to determine a configuration strategy of the energy storage device at the user side when the objective function is maximum. The method for configuring the energy storage device on the user side is more practical, so that the configuration of the energy storage device on the user side is more optimized, and the value of the energy storage device on the user side can be fully exerted.
Description
Technical Field
The present application relates to the field of energy storage of power systems, and in particular, to a method and an apparatus for configuring a user-side energy storage device, a computer device, and a storage medium.
Background
With the vigorous development of renewable energy sources, energy storage devices capable of transferring energy in time and space have become one of the key technologies for the development of power distribution networks. The energy storage device has advantages in the aspects of power system frequency modulation, peak clipping and valley filling, demand side response and the like due to the flexible adjustment characteristic, and therefore the energy storage device is concerned. The energy storage device is applied to the user side, and the electricity charge can be saved through user side management.
In the conventional art, there are many researches on the optimal configuration of an energy storage device, such as: the method comprises the steps of researching the life cycle cost of battery energy storage and an investment return model thereof, researching an investment optimization model of an energy storage system, researching a hybrid optimization model of the energy storage system, and researching a monthly and Japanese two-stage model of the energy storage system. However, these studies on the configuration of the energy storage device do not conform to the actual situation and are not optimized for the configuration of the energy storage device.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a method and an apparatus for configuring a user-side energy storage device, a computer device, and a storage medium.
In a first aspect, an embodiment of the present application provides a method for configuring a user-side energy storage device, including:
acquiring configuration data of a user side energy storage device in a preset time period, wherein the configuration data of the user side energy storage device comprises the following steps: the total fee value of the renting energy storage device, the income value of the capacity electricity fee and the profit value of the user-side energy storage device are calculated;
establishing an objective function configured by the user side energy storage device based on the configuration data of the user side energy storage device, wherein the objective function is a net gain function of the user side energy storage configuration;
determining constraint conditions of the user side energy storage device configuration based on the configuration data of the user side energy storage device, wherein the constraint conditions comprise: the method comprises the following steps of (1) power distribution network operation constraint, power constraint of a rental energy storage device and charge state constraint of the rental energy storage device;
and constructing a mixed integer linear programming configuration model of the energy storage device at the user side according to the objective function and the constraint condition so as to determine a configuration strategy of the energy storage device at the user side when the objective function is maximum.
In one embodiment, the method for obtaining the total charge value of the renting energy storage device comprises the following steps:
acquiring a cost value of leasing the energy storage device within a preset time period to obtain a first cost value;
acquiring a cost value for updating the lease energy storage device in a preset time period to obtain a second cost value;
and determining the total charge value of the renting energy storage device according to the first charge value and the second charge value.
In one embodiment, the method further comprises the following steps:
acquiring an original load value set of a user side in a preset time period to obtain a first load value set;
acquiring a load value set of a leasing energy storage device at a user side in a preset time period to obtain a second load value set;
and determining an equivalent load value set according to the first load value set and the second load value set.
In one embodiment, the consumer-side energy storage device comprises a household electric vehicle, and the method further comprises:
acquiring a load value set of the household electric automobile at the user side in a preset time period to obtain a third load value set;
and determining an equivalent load value set according to the first load value set, the second load value set and the third load value set.
In one embodiment, the method for obtaining the profit value of the capacity electricity fee comprises the following steps:
determining the maximum value of the original load value of the user side in a preset time period according to the first load value set to obtain a first maximum load value;
determining the maximum value of the equivalent load value of the user side in a preset time period according to the equivalent load value set to obtain a second maximum load value;
and determining a profit value of the capacity electricity fee according to the electricity price of the unit load, the first maximum load value and the second maximum load value.
In one embodiment, the method for acquiring the revenue profit value of the energy storage device at the user side comprises the following steps:
acquiring a real-time electricity price value in a preset time period;
and determining a benefit value of the revenue set according to the real-time electricity price value, the equivalent load value set and the first load value set.
In one embodiment, the user-side energy storage device comprises a household electric vehicle, and the constraint condition of the user-side energy storage device configuration further comprises: power constraints of the electric home car and state of charge constraints of the electric home car.
In a second aspect, an embodiment of the present application provides a user-side energy storage device configuration apparatus, including:
the obtaining module is used for obtaining configuration data of the energy storage device at the user side in a preset time period, wherein the configuration data of the energy storage device at the user side comprises: the total value of the fee of the leasing energy storage device, the total value of the income of the capacity electricity fee and the value of the benefit of the charging of the user-side energy storage device;
the system comprises an establishing module, a calculating module and a processing module, wherein the establishing module is used for establishing an objective function of the user side energy storage configuration based on the configuration data of the user side energy storage device, and the objective function refers to a net gain function of the user side energy storage configuration;
the determining module is used for determining constraint conditions configured by the user-side energy storage device based on the user-side energy storage data, wherein the constraint conditions comprise: the method comprises the following steps of (1) power distribution network operation constraint, power constraint of a rental energy storage device and charge state constraint of the rental energy storage device;
and the construction module is used for constructing a mixed integer linear programming configuration model of the energy storage device at the user side according to the objective function and the constraint condition so as to determine a configuration strategy of the energy storage device at the user side when the objective function is maximum.
In a third aspect, an embodiment of the present application provides a computer device, which includes a memory and a processor, where the memory stores a computer program, and the processor implements the steps of the method provided in the above embodiment when executing the computer program.
In a fourth aspect, an embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements the steps of the method provided in the above embodiment.
The embodiment of the application provides a method and a device for configuring a user-side energy storage device, computer equipment and a storage medium. The user side energy storage device configuration method comprises the steps of establishing a target function of user side energy storage device configuration based on configuration data of a user side energy storage device in a preset time period, and determining constraint conditions of the user side energy storage device configuration based on the configuration data of the user side energy storage device; and constructing a mixed integer linear programming configuration model according to the objective function and the constraint condition so as to determine a configuration strategy of the user side energy storage device corresponding to the maximum net income value. The user side energy storage device configuration method provided by the application uses the leased energy storage device on the basis of considering the capacity electric charge profit value and the charging profit value of the user side energy storage device, and can reduce the energy storage cost. And a mixed integer linear programming configuration model can be constructed according to the objective function and the constraint condition to determine a maximum net income value and a configuration strategy of the user side energy storage device corresponding to the maximum net income value. Therefore, the electricity price of a user can be reduced, and the maximum net income value is obtained by fully utilizing the energy storage device, so that the value of the energy storage device is fully exerted.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments or the conventional technologies of the present application, the drawings used in the description of the embodiments or the conventional technologies will be briefly introduced below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic flowchart illustrating steps of a method for configuring a user-side energy storage device according to an embodiment of the present disclosure;
fig. 2 is a schematic flowchart illustrating steps of a method for configuring a user-side energy storage device according to an embodiment of the present disclosure;
fig. 3 is a schematic flowchart illustrating steps of a method for configuring a user-side energy storage device according to an embodiment of the present application;
fig. 4 is a schematic flowchart illustrating steps of a method for configuring a user-side energy storage device according to an embodiment of the present application;
fig. 5 is a schematic flowchart illustrating steps of a method for configuring a user-side energy storage device according to an embodiment of the present application;
fig. 6 is a schematic flowchart illustrating steps of a method for configuring a user-side energy storage device according to an embodiment of the present application;
fig. 7 is a schematic structural diagram of a device configured as a user-side energy storage device according to an embodiment of the present application;
fig. 8 is a schematic structural diagram of a computer device according to an embodiment of the present application.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, embodiments accompanying the present application are described in detail below with reference to the accompanying drawings. In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present application. This application is capable of embodiments in many different forms than those described herein and that modifications may be made by one skilled in the art without departing from the spirit and scope of the application and it is therefore not intended to be limited to the specific embodiments disclosed below.
At present, in order to provide the maximum net benefit to the user by reasonably distributing the energy storage devices on the user side, research on the optimal configuration of the energy storage devices is increasing. In the traditional technology, most researches on the optimal configuration of the energy storage device only consider the lowest configuration cost of the energy storage device on the basis of ensuring the operation safety and reliability, or only consider the benefit of nesting and collecting of energy storage peak clipping and valley filling, and do not consider the operation cost related to the energy storage device. These studies on the configuration of the energy storage device are not in accordance with the actual situation, and the configuration of the energy storage device is not optimized. Therefore, the embodiment of the application provides a method for configuring a user-side energy storage device more suitable for practical situations, so that the configuration of the energy storage device is more optimized, and the value of the energy storage device can be fully exerted.
The configuration method of the energy storage device at the user side can be realized through computer equipment. Computer devices include, but are not limited to, control chips, personal computers, laptops, smartphones, tablets, and portable wearable devices. The method provided by the application can be realized through JAVA software and can also be applied to other software.
The following describes the technical solutions of the present application and how to solve the technical problems with the technical solutions of the present application in detail with specific embodiments. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments. Embodiments of the present application will be described below with reference to the accompanying drawings.
The numbering of the components as such, e.g., "first", "second", etc., is used herein only to distinguish the objects as described, and does not have any sequential or technical meaning.
Referring to fig. 1, an embodiment of the present application provides a method for configuring a user-side energy storage device, which includes the following specific steps:
The configuration data of the user-side energy storage device may be stored in a memory of the computer device in advance, and the computer device may directly obtain the configuration data from the memory in the process of implementing the user-side energy storage device configuration method. The preset time period is preset by a user, and can be a week or a month; the configuration data of the energy storage device at the user side may be the configuration data predicted by the user based on the historical configuration data of the energy storage device, which is not limited in this embodiment. The total charge value of the rented energy storage device refers to the total cost of the user when the user rents the energy storage device for use, and since the energy storage device is rented and needs to be maintained and replaced in the operation process, the total charge value of the rented energy storage device can comprise the rented cost and the maintenance and replacement cost of a preset time period.
Currently, the power supply department carries out the operation on usersThe method is characterized by comprising two parts of electricity price system for making electricity price, wherein the electricity price system is divided into a basic electricity price part and an electricity price part. The basic electricity rate is the electricity rate calculated according to the actual electricity consumption number of the user, and the electricity rate is the electricity rate calculated according to the actual electricity consumption number of the user, wherein the basic electricity rate is the basis for calculating the electricity rate according to the transformer capacity or the maximum demand (namely the maximum value of the average load every 15 minutes or 30 minutes in one month). The specific calculation formula of the two electricity prices is as follows:
wherein, Q represents two power generation rates, a unit power rate of user side transformer capacity (kVA) or monthly maximum load (kW), and M is user transformer capacity or monthly maximum load; d is the electricity charge per degree of electricity calculated by the electricity meter and H is the amount of electricity consumed (in kWh). The income value of the capacity electric charge refers to the electric charge value reduced when the user uses the rental energy storage device. The maximum load of the user side per month can be reduced by using the rental energy storage device, so that the electric charge spent by the user can be reduced, namely, the profit value of the capacity electric charge of the rental energy storage device used by the user is obtained.
The user side uses the electricity quantity stored by the rental energy storage device in the electricity utilization low peak period to be used in the electricity utilization high peak period, so that the total electricity consumption of the user side can be reduced, and the electricity price of the user can be reduced. The reduced electricity price is the profit value of the energy storage device at the user side.
102, establishing an objective function of the user side energy storage device configuration based on configuration data of the user side energy storage device, wherein the objective function is a net gain function of the user side energy storage configuration;
and the computer equipment establishes an objective function configured by the user side energy storage device according to the total cost value of the rental energy storage device at the user side, the income value of the capacity electricity fee and the collection benefit value of the user side energy storage device. The method for establishing the objective function in this embodiment is not limited, as long as the objective function can represent the net profit function of the user-side energy storage device configuration.
And the computer equipment determines the constraint conditions of the configuration of the energy storage device at the user side according to the total cost value of the renting energy storage device at the user side, the income value of the capacity electricity fee and the benefit value of the energy storage device at the user side. The power distribution network operation constraint refers to the constraint of the operation power of the renting energy storage device when the renting energy storage device is used. In a specific embodiment, due to the limitation of the transmission power of the distribution network line, the operation power of the leased energy storage device connected to the user side does not exceed 60% of the maximum power of the user, i.e., PESS,i≤0.6Pload,iWherein P isESS,iRefers to the operating power, P, of the leased energy storage device accessed in the ith time periodload,iRefers to the maximum power of the user in the ith time period.
The power constraints of the rental energy storage means refer to constraints on the charging power and the discharging power of the rental energy storage means. In one particular embodiment, the power constraint of the rental energy storage may be expressed by the following equation:
Ce,i+De,i＝1 (1)
0≤PESS,i≤Ce,i×PESS,max (2)
0≤P′ESS,i≤De,i×PESS,max (3)
wherein, Ce,iIndicating the state of charge of the rental energy storage device, De,iIndicating the discharge state of the rental energy storage. While charging the rental energy storage device, Ce,i＝1，De,i0; when the rental energy storage device discharges: ce,i＝0，De,i＝1；PESS,maxRepresenting the maximum total energy storage power, P, of the rental energy storage meansESS,iIs charging power P 'of leased energy storage device accessed in the ith time slot'ESS，iThe discharge power of the leased energy storage device accessed in the ith time slot is referred to. For equation (2), an auxiliary variable z is introducede,C,iIt can be converted to linear form: p is more than or equal to 0ESS,i≤ze,C,i，
Similarly, comparing equation (3), introducing an auxiliary variable ze,D,iIt can be converted to linear form: 0 is less than or equal to P'ESS,i≤ze,D,i，
Wherein the content of the first and second substances,
the maximum energy storage capacity of the energy storage device which can be rented and leased for the user.
In another specific embodiment, the power constraint of the rental energy storage device further comprises a luffing constraint on the rental energy storage device. That is, constraints on the magnitude of change in the stored energy power of the leased energy storage device are used for the current time period and the next time period. Specifically, it can be expressed as:
|(PESS,i+1-P′ESS,i+1)-(PESS,i-P′ESS,i)|≤ΔPESS，max。
the state of charge is a ratio of the capacity remaining when the rental energy storage device is not in use to the capacity of the rental energy storage device in a fully charged state. Therefore, the state of charge constraint of the rental energy storage device is a constraint on the ratio. In one particular embodiment, the state of charge constraint on the rental energy storage device may be expressed as: se,i+1 ESS＝Se,i ESS+(PESS,i×ηch-PESS,i′×ηdis)Δt，Smin ESS≤Se,i ESS≤Smax ESSWherein S ise,i ESSThe charge state of the leased energy storage device at the user side in the ith time period; se,i+1 ESSThe charge state of the leased energy storage device at the user side in the (i + 1) th time slot is obtained; smin ESSIs the minimum state of charge, S, of the leased energy storage devicemax ESSIs the maximum state of charge, η, of the leased energy storage devicechFor leasing the charging efficiency of the energy storage device, etadisTo lease the discharge efficiency of the energy storage, Δ t is the time interval. When the rented energy storage device runs in a daily cycle mode, representing that the rented energy storage device in the ith time period of the day and the rented energy storage device in the ith time period of the next day have the same charge state; when the rented energy storage device operates in a cyclic manner, the rented energy storage device representing the ith time period of the current week has the same charge state as the ith time period of the next week, and the charge state can be expressed by the following formula:
wherein the value of m is related to the cycle mode of leasing the leasing energy storage device, and if the cycle mode is daily cycle, m is 24 hours; if the cycle method is a cyclic cycle, m is 336 hours.
And 104, constructing a mixed integer linear programming configuration model of the energy storage device at the user side according to the objective function and the constraint condition so as to determine a configuration strategy of the energy storage device at the user side when the objective function is maximum.
The computer equipment can construct a mixed integer linear programming configuration Model (MILP) of the energy storage device at the user side according to the established objective function and the determined constraint condition, wherein the MILP comprises a decision variable, the objective function and the constraint condition, and the decision variable is a configuration mode of the renting energy storage device. The mixed integer linear programming configuration model of the energy storage device at the user side is solved through a related solver, and a corresponding decision variable, namely a configuration strategy of the energy storage device at the user side, can be determined when the net income of the user side after the rented energy storage device is used is maximum. The embodiment does not limit the method for solving the mixed integer linear programming configuration model of the energy storage device at the user side, as long as the function of the method can be realized.
According to the configuration method of the energy storage device at the user side, the target function of the configuration of the energy storage device at the user side is established through the acquired configuration data of the energy storage device at the user side; determining constraint conditions of the configuration of the energy storage device at the user side according to the acquired configuration data of the energy storage device at the user side; and constructing a mixed integer linear programming configuration model according to the objective function and the constraint condition. The maximum objective function, namely, the configuration strategy of the user-side energy storage device corresponding to the maximum net profit value, can be determined by solving the model. According to the configuration method of the energy storage device on the user side, the leased energy storage device is used on the basis of considering the income value of the capacity and the profit value of the charging of the energy storage device on the user side, and the energy storage cost can be reduced. And a mixed integer linear programming configuration model can be constructed according to the objective function and the constraint condition to determine a maximum net income value and a configuration strategy of the user side energy storage device corresponding to the maximum net income value. Therefore, the electricity price of a user can be reduced, and the maximum net income value is obtained by fully utilizing the energy storage device, so that the value of the energy storage device is fully exerted.
Referring to fig. 2, in one embodiment, the method for obtaining the total charge value of the rented energy storage device includes:
step 201, obtaining a cost value of leasing the energy storage device within a preset time period to obtain a first cost value.
The computer equipment obtains the expense paid by leasing the energy storage device within a preset time period to obtain a first expense numerical value. Typically, the cost of renting energy storage devices is calculated on a weekly basis, i.e., assuming a weekly cost of energy storage devices per unit of capacity of rented as ZSESSIf there are W weeks within the predetermined time period, the first cost value may be expressed as
Wherein the content of the first and second substances,
leasing the capacity of the energy storage device for the W week. In a specific embodiment, the weekly fee of the rental energy storage device and the preset time period are stored in a memory of the computer device by the user in advance, and the computer device is directly obtained from the memory when in use. Book (I)The embodiment is not limited in any way to the specific method of obtaining the first cost value.
Step 202, obtaining a cost value for updating the rental energy storage device in a preset time period, and obtaining a second cost value.
The computer equipment obtains the expense paid when the rental energy storage device is updated in the preset time period, and obtains a second expense value. When the rented energy storage device is updated, the energy storage device needs to be transported out of the distribution center of the energy storage device to the user, or the energy storage device on the user side needs to be transported back to the distribution center, and the cost generated in the process is the second cost value. The second cost value is related to the length of the transport path and the capacity of the energy storage device. In one embodiment, assuming j updates to the rental energy storage device per week, a cost per unit of transportation for transporting unit energy storage device capacity is DS, and a distance of transportation is D, the cost of j updates to the rental energy storage device can be expressed as
In the introduction of an auxiliary variable yjIn time, the formula for updating the rental energy storage device cost for the jth time can be converted into a linear equivalent form: TC (tungsten carbide)j＝D·yj·DS,
And step 203, determining a total charge value of the rental energy storage device according to the first charge value and the second charge value.
The computer device can determine a total value of expenses for renting the energy storage device according to the acquired first cost value and the acquired second cost value, namely, the total value of the expenses for renting the energy storage device. In one embodiment, assuming that the rental energy storage device is updated once per week, the total cost value C of the rental energy storage device is calculatedESSCan be expressed as:
in this embodiment, the user side uses the rental energy storage device, and the hybrid integer linear programming configuration model of the finally obtained user side energy storage device can be more actually fitted by considering the cost of the rental energy storage device and the cost of updating the rental energy storage device, so that the configuration of the rental energy storage device of the user side can be more optimized.
Referring to fig. 3, in an embodiment, the method for configuring the energy storage device at the user side further includes:
step 301, obtaining an original load value set of a user side in a preset time period to obtain a first load value set.
And 302, acquiring a load value set of the leased energy storage device at the user side in a preset time period to obtain a second load value set.
The preset time period may include a plurality of i time periods, for example, the preset time period is 24 hours, and the i-th time period is 1 hour. The computer equipment can acquire load values before a plurality of i-time-period user sides are accessed to the leasing energy storage device in a preset time period, so that an original load value set of the user sides in the preset time period can be obtained, and a first load value set is obtained. Similarly, the computer device may obtain load values of the leased energy storage devices at the user sides in a plurality of i time periods within a preset time period, so as to obtain a load value set of the leased energy storage devices at the user sides within the preset time period, and obtain a second load value set. The load value of the rental energy storage device at the user side comprises a charging load value and a discharging load value of the rental energy storage device. The present embodiment does not set any limit to a specific method for acquiring the first load value set and the second load value set, as long as the functions thereof can be realized.
And step 303, determining an equivalent load value set according to the first load value set and the second load value set.
The computer device can determine the equivalent load value set of the user side according to the first load value set and the second load value set. In a particular embodiment, the set of equivalent load values P 'for the ith time period'load,iCan be expressed as: p'load,i＝Pload,i+PESS,i-P′ESS,iWherein P isload,iThe original load value of the user side in the time period i; pESS,iCharging load value P 'of rental energy storage device in ith time period'ESS,iAnd discharging load value of the renting energy storage device in the ith time period.
Referring to fig. 4, in an embodiment, the user-side energy storage device includes a household electric vehicle, and the user-side energy storage device configuring method further includes:
step 401, acquiring a load value set of the household electric vehicle at the user side in a preset time period to obtain a third load value set.
The household electric automobile on the user side can be used as a small energy storage device, and the computer equipment can acquire the load values of the household electric automobiles in a plurality of i time periods in the preset time period, so that the load value set of the household electric automobile in the preset time period can be obtained, and the third load value set can be obtained. The load value set of the household electric automobile comprises a charging load value set and a discharging load value set. The present embodiment does not set any limitation to a specific method for obtaining the third load value set, as long as the function thereof can be achieved.
And 402, determining an equivalent load value set according to the first load value set, the second load value set and the third load value set.
After the computer device obtains the load value set (third load value set) of the household electric vehicle, the obtained original load value set (first load value set) of the user side and the obtained load value set (second load value set) of the leasing energy storage device can obtain the equivalent load value set of the user side after the leasing energy storage device and the household electric vehicle are connected. In a specific embodiment, after the household electric automobile is connected, the equivalent load value set P 'of the ith time period'load,iCan be expressed as: p'load,i＝Pload,i+PESS,i-P′ESS,i+PCSS，i+P′CSS,iWherein P isCSS,iIs the charging load value, P 'of the household electric automobile in the ith time period'CSS,iThe discharge load value of the household electric automobile in the ith time period is obtained.
In this embodiment, the energy storage device on the user side is added to the household electric vehicle, and the energy storage value of the household electric vehicle can be utilized, so that the user can obtain more benefits by using the energy storage device, and the reliability and the practicability of the energy storage device configuration method on the user side can be improved.
Referring to fig. 5, in one embodiment, the method for obtaining the profit value of the capacity electricity fee includes:
step 501, according to the first load value set, determining a maximum value of original load values of the user side in a preset time period to obtain a first maximum load value.
The computer equipment compares the load values in the obtained original load value set of the user, so that the maximum value of the original load values of the user side in a preset time period can be obtained and recorded as a first maximum load value. The first maximum load value may be formulated as: max { P }load,i1, 2, … N, where N represents the number of i slots within a preset slot. In one specific embodiment, assuming that the predetermined time period is one month and the ith time period is 30 minutes, then N is 1440.
The computer device compares the load values in the obtained set of the equivalent load values of the user side, so that the maximum value of the equivalent load values of the user side in a preset time period can be obtained and recorded as a second maximum load value. The second maximum load value may be formulated as: max { P'load,i|i＝1，2，…N}。
And 503, determining a profit value of the capacity electricity fee according to the electricity price of the unit load, the first maximum load value and the second maximum load value.
The computer equipment firstly obtains the electricity price of the unit load, namely, the maximum load value in the basic electricity price of the user is worth the unit electricity price, and the income value of the capacity electricity fee is determined according to the obtained first maximum load value and the second maximum load value. In a specific embodiment, the computer device first calculates a first maximum negativeThe difference value between the load value and the second maximum load value is the maximum load value of the user side after the leased energy storage device (and the household electric vehicle) is accessed; in calculating the difference and the electricity rate per unit load, a profit value of the capacity electricity rate may be determined. Revenue value for capacity charge
Can be expressed as:
referring to fig. 6, in one embodiment, the method for obtaining the revenue profit value of the energy storage device at the user side includes:
601, acquiring a real-time electricity price value in a preset time period;
and if the real-time electricity price of each time period in the preset time period is the same, the computer equipment acquires the real-time electricity price value in the preset time period. The real-time electricity price value refers to the cost of unit electricity consumption in the electricity price. If the real-time electricity prices of the i time periods are different in the preset time period, the computer equipment acquires the real-time electricity price value of the i time period in the preset time period, and a real-time electricity price value set can be formed. The embodiment does not set any limitation to the specific method for acquiring the real-time electricity price value, as long as the function thereof can be realized.
The computer equipment can calculate and obtain a revenue collecting benefit value according to the acquired real-time electricity price value, the equivalent load value set when the user side is connected to the leasing energy storage device (and the household electric vehicle) and the original load value set of the user. In a specific embodiment, the computer device may calculate a difference between the equivalent load value set and the first load value set in each i time period, calculate a product of the difference and the real-time electricity price value in each i time period, and sum to obtain the revenue collecting benefit value in the preset time period. Value of profit
Can be expressed by the formula:
wherein eta isiThe real-time electricity price value of the ith time period.
In one embodiment, the consumer-side energy storage device comprises a household electric vehicle, and the constraint condition configured by the consumer-side energy storage device further comprises: power constraints of the electric home car and state of charge constraints of the electric home car.
After the energy storage device on the user side is added into the household electric automobile, the constraint conditions configured by the energy storage device on the user side include constraint conditions related to the household electric automobile, namely power constraint of the household electric automobile and constraint of the charge state of the household electric automobile. The power constraint of the household electric automobile refers to the constraint of charging power and discharging power of the household electric automobile. In one specific implementation, the work power constraint of a home electric vehicle can be expressed by the following equation:
Cc,i+Dc,i＝1 (4)
0≤PCSS,i≤Cc,i×PCSS,max (5)
0≤P′CSS,i≤Dc,i×PCSS,max (6)
wherein, Cc,iIndicating the state of charge of the domestic electric vehicle, Dc,iIndicating the discharge state of the household electric vehicle. During charging of household electric vehicles, Cc,i＝1，Dc,i0; when the household electric automobile discharges: cc,i＝0，Dc,i＝1；PCSS,maxIndicating the rated power, P, of the domestic electric vehicleCSS,iCharging power P 'of household electric automobile accessed in the ith time slot'CSS，iThe discharge power of the household electric vehicle accessed in the ith time slot is referred to.
The constraint of the state of charge of the household electric automobile is toA constraint on the ratio of the capacity remaining when the electric home vehicle is not in use to the capacity of the electric home vehicle in a fully charged state. In one particular embodiment, the state of charge constraint for a home electric vehicle may be expressed as: sc,i+1 CSS＝Sc,i CSS+(PCSS,i×βch-P′CSS,i/βdis)Δt，Smin CSS≤Sc,i CSS≤Smax CSSWherein S isc,i CSSThe state of charge of the household electric automobile in the ith time period; sc,i+1 CSSThe charge state of the household electric automobile in the (i + 1) th time period; smin CSSIs the minimum allowable state of charge, S, of a domestic electric vehiclemax CSSIs the maximum allowable state of charge, beta, of the household electric vehiclechFor the charging efficiency of domestic electric vehicles, betadisΔ t is the time interval for the discharge efficiency of a home electric vehicle. Suppose that the home electric vehicle is at home for a period of 17 hours to 8 days. And after the 17-point electric automobile comes home, the state of charge is Sc,17 CSSAfter 15 hours of charge and discharge and 8 days next, the charge state of the electric automobile at least reaches Sc,8,min CSSTo meet the upcoming travel demand, the formula can be used
And (4) showing.
In another specific embodiment, the power constraint of the electric home automobile further comprises a luffing constraint for the electric home automobile. That is, the constraint of the magnitude of change of the stored energy power of the electric home automobile in the current time period and the next time period. Specifically, it can be expressed as:
|(PCSS,i+1-P′CSS,i+1)-(PCSS,i-P′CSS,i)|≤ΔPCSS，max。
it should be understood that although the various steps in the flow charts of fig. 1-6 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 1-6 may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed in turn or alternately with other steps or at least some of the other steps.
Referring to fig. 7, an embodiment of the present application provides a user-side energy storage device configuration apparatus 10, including: the device comprises an acquisition module 11, a building module 12, a determination module 13 and a building module. Wherein the content of the first and second substances,
the obtaining module 11 is configured to obtain configuration data of the energy storage device on the user side in a preset time period, where the configuration data of the energy storage device on the user side includes: the total value of the fee of the renting energy storage device, the total value of the income of the capacity electricity fee and the value of the benefit of the charging of the energy storage device at the user side.
The establishing module 12 is configured to establish an objective function of the energy storage configuration at the user side based on the configuration data of the energy storage device at the user side, where the objective function is a net gain function of the energy storage configuration at the user side.
The determining module 13 is configured to determine a constraint condition configured by the user-side energy storage device based on the user-side energy storage data, where the constraint condition includes: the power distribution network operation constraint, the power constraint of the rental energy storage device and the charge state constraint of the rental energy storage device.
The building module 14 is configured to build a user-side energy storage device mixed integer linear programming configuration model according to the objective function and the constraint condition, so as to determine a user-side energy storage device configuration strategy when the objective function is maximized.
In one embodiment, the user-side energy storage device configuration apparatus 10 further comprises:
the first obtaining unit is used for obtaining a cost value of leasing the energy storage device within a preset time period to obtain a first cost value; and obtaining a cost value for updating the lease energy storage device in a preset time period to obtain a second cost value.
And the first determining unit is used for determining the total charge value of the renting energy storage device according to the first charge value and the second charge value.
In one embodiment, the user-side energy storage device configuration apparatus 10 further comprises:
the second acquisition unit is used for acquiring an original load value set of a user side in a preset time period to obtain a first load value set; acquiring a second load value set of the leasing energy storage device at the user side in a preset time period;
and the second determining unit is used for determining the equivalent load value set according to the first load value set and the second load value set.
In one embodiment, the user-side energy storage device configuration apparatus 10 further comprises:
and the third acquisition unit is used for acquiring the load value set of the household electric automobile at the user side in a preset time period to obtain a third load value set.
And the third determining unit is used for determining the equivalent load value set according to the first load value set, the second load value set and the third load value set.
In one embodiment, the user-side energy storage device configuration apparatus 10 further comprises:
a fourth determining unit, configured to determine, according to the first load value set, a maximum value of original load values at the user side in a preset time period, to obtain a first maximum load value; determining the maximum value of the equivalent load value of the user side in a preset time period according to the equivalent load value set to obtain a second maximum load value; and determining a profit value of the capacity electricity fee according to the electricity price of the unit load, the first maximum load value and the second maximum load value.
In one embodiment, the user-side energy storage device configuration apparatus 10 further comprises:
the fourth acquisition unit is used for acquiring the real-time electricity price value in a preset time period;
and the fifth determining unit is used for determining the benefit value of the charging according to the real-time electricity price value, the equivalent load value set and the first load value set.
For specific limitations of the user-side energy storage device configuration apparatus 10, reference may be made to the above limitations of the user-side energy storage device configuration method, which is not described herein again. The various modules in the user-side energy storage device configuration apparatus 10 may be implemented in whole or in part by software, hardware, and combinations thereof. The above devices, modules or units may be embedded in hardware or independent from a processor in a computer device, or may be stored in a memory in the computer device in software, so that the processor can call and execute operations corresponding to the above devices or modules.
Referring to fig. 8, in one embodiment, a computer device is provided, and the computer device may be a server, and the internal structure thereof may be as shown in fig. 8. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. And the database of the computer equipment is used for storing the resistance value and the like of the armor layer of the cable to be tested. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer device is executed by the processor to implement a user-side energy storage configuration method.
Those skilled in the art will appreciate that the architecture shown in fig. 8 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
One embodiment of the present application provides a computer device, including a memory and a processor, where the memory stores a computer program, and the processor executes the computer program to implement the following steps:
acquiring configuration data of a user side energy storage device in a preset time period, wherein the configuration data of the user side energy storage device comprises the following steps: the total fee value of the renting energy storage device, the income value of the capacity electricity fee and the profit value of the user-side energy storage device are calculated;
establishing an objective function configured by the user side energy storage device based on the configuration data of the user side energy storage device, wherein the objective function is a net gain function of the user side energy storage configuration;
determining constraint conditions of the user side energy storage device configuration based on the configuration data of the user side energy storage device, wherein the constraint conditions comprise: the method comprises the following steps of (1) power distribution network operation constraint, power constraint of a rental energy storage device and charge state constraint of the rental energy storage device;
and constructing a mixed integer linear programming configuration model of the energy storage device at the user side according to the objective function and the constraint condition so as to determine a configuration strategy of the energy storage device at the user side when the objective function is maximum.
In one embodiment, the processor, when executing the computer program, further performs the steps of: acquiring a cost value of leasing the energy storage device within a preset time period to obtain a first cost value; acquiring a cost value for updating the lease energy storage device in a preset time period to obtain a second cost value; and determining the total charge value of the renting energy storage device according to the first charge value and the second charge value.
In one embodiment, the processor, when executing the computer program, further performs the steps of: acquiring an original load value set of a user side in a preset time period to obtain a first load value set; acquiring a load value set of a leasing energy storage device at a user side in a preset time period to obtain a second load value set; and determining an equivalent load value set according to the first load value set and the second load value set.
In one embodiment, the processor, when executing the computer program, further performs the steps of: acquiring a load value set of the household electric automobile at the user side in a preset time period to obtain a third load value set; and determining an equivalent load value set according to the first load value set, the second load value set and the third load value set.
In one embodiment, the processor, when executing the computer program, further performs the steps of: determining the maximum value of the original load value of the user side in a preset time period according to the first load value set to obtain a first maximum load value; determining the maximum value of the equivalent load value of the user side in a preset time period according to the equivalent load value set to obtain a second maximum load value; and determining a profit value of the capacity electricity fee according to the electricity price of the unit load, the first maximum load value and the second maximum load value.
In one embodiment, the processor, when executing the computer program, further performs the steps of: acquiring a real-time electricity price value in a preset time period; and determining a benefit value of the revenue set according to the real-time electricity price value, the equivalent load value set and the first load value set.
In one embodiment, the processor, when executing the computer program, further performs the steps of: the user side energy storage device comprises a household electric automobile, and the constraint conditions configured by the user side energy storage device further comprise: power constraints of the electric home car and state of charge constraints of the electric home car.
One embodiment of the present application provides a computer-readable storage medium having a computer program stored thereon, the computer program when executed by a processor implementing the steps of:
acquiring configuration data of a user side energy storage device in a preset time period, wherein the configuration data of the user side energy storage device comprises the following steps: the total fee value of the renting energy storage device, the income value of the capacity electricity fee and the profit value of the user-side energy storage device are calculated;
establishing an objective function configured by the user side energy storage device based on the configuration data of the user side energy storage device, wherein the objective function is a net gain function of the user side energy storage configuration;
determining constraint conditions of the user side energy storage device configuration based on the configuration data of the user side energy storage device, wherein the constraint conditions comprise: the method comprises the following steps of (1) power distribution network operation constraint, power constraint of a rental energy storage device and charge state constraint of the rental energy storage device;
and constructing a mixed integer linear programming configuration model of the energy storage device at the user side according to the objective function and the constraint condition so as to determine a configuration strategy of the energy storage device at the user side when the objective function is maximum.
In one embodiment, the computer program when executed by the processor further performs the steps of: acquiring a cost value of leasing the energy storage device within a preset time period to obtain a first cost value; acquiring a cost value for updating the lease energy storage device in a preset time period to obtain a second cost value; and determining the total charge value of the renting energy storage device according to the first charge value and the second charge value.
In one embodiment, the computer program when executed by the processor further performs the steps of: acquiring an original load value set of a user side in a preset time period to obtain a first load value set; acquiring a load value set of a leasing energy storage device at a user side in a preset time period to obtain a second load value set; and determining an equivalent load value set according to the first load value set and the second load value set.
In one embodiment, the computer program when executed by the processor further performs the steps of: acquiring a load value set of the household electric automobile at the user side in a preset time period to obtain a third load value set; and determining an equivalent load value set according to the first load value set, the second load value set and the third load value set.
In one embodiment, the computer program when executed by the processor further performs the steps of: determining the maximum value of the original load value of the user side in a preset time period according to the first load value set to obtain a first maximum load value; determining the maximum value of the equivalent load value of the user side in a preset time period according to the equivalent load value set to obtain a second maximum load value; and determining a profit value of the capacity electricity fee according to the electricity price of the unit load, the first maximum load value and the second maximum load value.
In one embodiment, the computer program when executed by the processor further performs the steps of: acquiring a real-time electricity price value in a preset time period; and determining a benefit value of the revenue set according to the real-time electricity price value, the equivalent load value set and the first load value set.
In one embodiment, the computer program when executed by the processor further performs the steps of: the user side energy storage device comprises a household electric automobile, and the constraint conditions configured by the user side energy storage device further comprise: power constraints of the electric home car and state of charge constraints of the electric home car.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A method for configuring a user-side energy storage device is characterized by comprising the following steps:
acquiring configuration data of a user side energy storage device in a preset time period, wherein the configuration data of the user side energy storage device comprises the following steps: the total fee value of the renting energy storage device, the income value of the capacity electricity fee and the profit value of the user-side energy storage device are calculated;
establishing an objective function of the user side energy storage device configuration based on the configuration data of the user side energy storage device, wherein the objective function is a net gain function of the user side energy storage configuration;
determining constraint conditions of the user-side energy storage device configuration based on the configuration data of the user-side energy storage device, wherein the constraint conditions comprise: the method comprises the following steps of (1) power distribution network operation constraint, power constraint of a rental energy storage device and charge state constraint of the rental energy storage device;
and constructing a mixed integer linear programming configuration model of the energy storage device at the user side according to the objective function and the constraint condition so as to determine a configuration strategy of the energy storage device at the user side when the objective function is maximum.
2. The method of claim 1, wherein the step of obtaining the total charge of the leased energy storage device comprises:
acquiring a cost value of the leasing energy storage device in the preset time period to obtain a first cost value;
acquiring a cost value for updating the lease energy storage device in the preset time period to obtain a second cost value;
and determining the total charge value of the rental energy storage device according to the first charge value and the second charge value.
3. The method of configuring a user-side energy storage device according to claim 1, further comprising:
acquiring an original load value set of a user side in the preset time period to obtain a first load value set;
acquiring a load value set of a leasing energy storage device at the user side in the preset time period to obtain a second load value set;
determining a set of equivalent load values from the first set of load values and the second set of load values.
4. The method of claim 3, wherein the consumer-side energy storage device comprises a household electric vehicle, the method further comprising:
acquiring a load value set of the household electric automobile at the user side in the preset time period to obtain a third load value set;
determining the equivalent set of load values from the first set of load values, the second set of load values, and the third set of load values.
5. The method for configuring a customer-side energy storage device according to claim 3 or 4, wherein the method for obtaining the profit value of the capacity electricity fee comprises:
determining the maximum value of the original load values of the user side in the preset time period according to the first load value set to obtain a first maximum load value;
determining the maximum value of the equivalent load value of the user side in the preset time period according to the equivalent load value set to obtain a second maximum load value;
and determining a profit value of the capacity electricity fee according to the electricity price of the unit load, the first maximum load value and the second maximum load value.
6. The method as claimed in claim 3 or 4, wherein the step of obtaining the revenue profit value of the energy storage device comprises:
acquiring a real-time electricity price value in the preset time period;
and determining the revenue collecting benefit value according to the real-time electricity price value, the equivalent load value set and the first load value set.
7. The method of claim 1, wherein the energy storage device comprises a household electric vehicle, and the constraints of the energy storage device configuration further comprise: power constraints of the electric home car and state of charge constraints of the electric home car.
8. A user-side energy storage device configuration device, comprising:
the obtaining module is configured to obtain configuration data of the energy storage device at the user side within a preset time period, where the configuration data of the energy storage device at the user side includes: the total value of the fee of the leasing energy storage device, the total value of the income of the capacity electricity fee and the value of the benefit of the charging of the user-side energy storage device;
the establishing module is used for establishing an objective function of the user side energy storage configuration based on the configuration data of the user side energy storage device, wherein the objective function is a net gain function of the user side energy storage configuration;
a determining module, configured to determine a constraint condition configured by the user-side energy storage device based on the user-side energy storage data, where the constraint condition includes: the method comprises the following steps of (1) power distribution network operation constraint, power constraint of a rental energy storage device and charge state constraint of the rental energy storage device;
and the construction module is used for constructing a mixed integer linear programming configuration model of the energy storage device at the user side according to the objective function and the constraint condition so as to determine a configuration strategy of the energy storage device at the user side when the objective function is maximum.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method of any of claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.
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