CN115940274A - Optical storage system configuration method, device and medium - Google Patents
Optical storage system configuration method, device and medium Download PDFInfo
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Abstract
The application discloses a method, a device and a medium for configuring an optical storage system, which are used for acquiring historical electricity utilization data and environmental information; confirming configuration parameters of the optical storage system according to user requirements; setting upper layer constraint conditions, constructing an upper layer optimization model, and establishing an upper layer objective function according to configuration parameters and environmental information; setting a lower layer constraint condition, constructing a lower layer optimization model, and establishing a lower layer objective function according to configuration parameters and historical electricity consumption data; and confirming the configuration scheme of the optical storage system according to the solving results of the upper layer optimization model and the lower layer optimization model. According to the technical scheme, the historical electricity utilization data can reflect electricity utilization information of a user, the environment information can reflect the working capacity of the light storage system, an upper-layer optimization model and a lower-layer optimization model are set according to the historical electricity utilization data and the environment information of the user, different objective functions are set according to different requirements of the user, the light storage system is enabled to make a preferred configuration method under the condition of comprehensively considering economy and performance, and therefore performance is improved.
Description
Technical Field
The present application relates to the field of optical storage systems, and in particular, to a method, an apparatus, and a medium for configuring an optical storage system.
Background
The capacity configuration problem is the first problem to be solved in the design stage of the optical storage system, and the quality of the configuration scheme directly determines the safe operation and the economic benefit of the power consumption of a user. In order to improve the power supply reliability and the photovoltaic utilization rate of the independent photovoltaic system, the capacities of the photovoltaic modules and the energy storage system need to be reasonably configured. The optimal configuration of the light storage system is to determine the system structure and equipment configuration according to specific targets and constraint conditions on the basis of statistical analysis on load requirements and illumination resources, so that the optimization of quantitative indexes such as economy, low carbon, energy utilization efficiency and the like is realized.
In actual engineering design, an empirical method or the total investment of users is adopted to determine the rated photovoltaic power and the capacity of the energy storage system, or a matched capacity configuration scheme is directly adopted. The configuration scheme is difficult to ensure that the light storage system is in an ideal matching state, and may cause higher investment cost and poorer performance of the whole system, so that the advantages of the light storage system cannot be exerted.
Therefore, an urgent need exists in the art for a method for configuring an optical storage system, which is capable of improving system performance and reducing cost while considering both economy and technology when configuring the optical storage system.
Disclosure of Invention
The invention aims to provide a method, a device and a medium for configuring an optical storage system, so as to take account of economy and technology when configuring the optical storage system, improve the performance of the system and reduce the cost.
In order to solve the above technical problem, the present application provides a method for configuring an optical storage system, including:
acquiring historical electricity utilization data and environmental information;
confirming configuration parameters of the optical storage system according to user requirements;
setting upper-layer constraint conditions, constructing an upper-layer optimization model, and establishing an upper-layer objective function according to the configuration parameters and the environmental information, wherein the upper-layer objective function is used for selecting the photovoltaic rated output and the energy storage capacity of the optical storage system;
setting a lower layer constraint condition and constructing a lower layer optimization model, and establishing a lower layer objective function according to the configuration parameters and the historical electricity consumption data for generating a charge and discharge strategy of the battery;
and confirming the configuration scheme of the optical storage system according to the solving results of the upper layer optimization model and the lower layer optimization model.
Preferably, the historical electricity consumption data is active power information collected by an intelligent ammeter; the environmental information comprises longitude and latitude, illumination resources and temperature, the illumination resources are total radiant quantity Q of a user in a unit area of a geographical position in one day, and furthermore, irradiance G at a corresponding moment is obtained according to the illumination resources c,t The irradiance is calculated as:
wherein a and b are sunrise and sunset time respectively;
based on the temperature, the irradiance and a rated power S of the photovoltaic array STC Calculating the output power S of a photovoltaic array PV,t ：
Wherein G is STC And T STC Irradiance and system temperature under standard test conditions, k is the power temperature coefficient, T c，t Is the surface temperature of the current photovoltaic power generation system.
Preferably, the configuration parameters include: equal annual cost and operation and maintenance cost C of photovoltaic system of user PV Equal annual cost and operation and maintenance cost C of energy storage system Batt Year operation cost C 'without light storage system' Y Annual running cost C for configuring the optical storage system Y And the disposable patch C for photovoltaic power generation PV,sub Disposable patch C of energy storage system Batt,sub Spontaneous self-use rate R suff And self balance ratio R self The self-generating self-rate reflects the influence of the grid-connected micro-grid on self power generation, and the self-generating self-rate reflects the self power supply capacity and the degree of dependence on the grid;
further, the upper layer objective function is:
min T C＝(C PV +C Batt +C Y -C′ Y -C PV,sub -C Batt,sub )×R suff ×R self 。
preferably, the calculation of the equal-year-value cost and the operation and maintenance cost of the user photovoltaic system is as follows:
the calculation of the equal-year-value cost and the operation and maintenance cost of the energy storage system is as follows:
wherein S is PV,i Is the photovoltaic system capacity; kappa PV,i Cost per unit capacity for the photovoltaic system; kappa type Batt,i Energy storage system capacity cost; gamma ray PV,i And gamma Batt,i The annual operation and maintenance cost per unit capacity of the photovoltaic system and the energy storage system; n is a radical of PV And N Batt The service life of the photovoltaic array and the energy storage system is prolonged; r is o The discount rate is the discount rate.
The calculation of the one-time subsidy of the photovoltaic power generation is as follows:
wherein, c PV,sub,i Capacity subsidies are installed for a unit;
the rated power constraint of the photovoltaic system is calculated as:
S PV,i,min ＜＝S PV,i ＜＝S PV,i,max ；
wherein S is PV,i Rated power for the photovoltaic array;
the self-rate constraint is calculated as:
wherein E is DG The total amount of power generated for the distributed power supply; e Out The electricity sales amount of the micro-grid;
the self-balancing rate is calculated as:
wherein E is total The total demand of the load in the dispatching period; e In The power is purchased for the microgrid.
The annual operating cost is calculated as:
C Y ＝f(C o )；
wherein, C o The typical daily operating costs of the system.
Preferably, the lower layer objective function is:
wherein, C In,t And C Out,t The electricity price of the electric quantity bought by the user and the electricity price of the sold electric quantity sold by the user are respectively in the time period from t to t + 1; p is In,t And P Out,t Active power flowing into a user and active power flowing into a power grid in a period from t to t +1 respectively; c PV Subsidizing electricity prices for photovoltaics; p is PV,i,t The photovoltaic output is obtained.
Preferably, the lower layer constraint condition includes:
carrying and maximum power purchasing power constraint:
in the formula, P In,t And P Out,t Respectively the power purchased and the power transmitted to the power grid; p is In,max And P Out,max Respectively representing the maximum allowable value of the power purchasing power and the maximum allowable value of the power transferring to the power grid; b In,t And B Out,t Respectively representing the electricity purchasing state and the electricity selling state of the microgrid in the time period t for a variable with the value of 0 or 1, B In,t Is 1, the microgrid is in a power purchasing state, B Out,t The number 1 indicates that the microgrid is in a power selling state, and if the number is 0, the microgrid system does not purchase or sell power;
the power balance equation is:
wherein, P loss Approximate losses for the optical storage system;
the energy storage system has the following charge and discharge power constraints:
in the formula, B d,i,t And B c,i,t Is a variable with the value of 0 or 1, respectively represents the discharge and charge states of the energy storage system in the time period t, B d,i,t 1 indicates that the energy storage system is in a discharge state, B c,i,t If the value is 1, the energy storage system is in a charging state, and if the values are 0, the energy storage system is in a stopping state and is not charged or discharged; p d,i,max And P c,i,max Respectively the maximum discharge power and the maximum charge power of the energy storage system;
the energy storage system state of charge constraints are:
SOC i,t ＝SOC i,t-1 +η c,i P c,i,t Δt/E i,max -P d,i,t Δt/η d,i E i,max ；
in the formula, SOC i,t The state of charge of the energy storage system at the moment t; e i,max The maximum state of charge of the energy storage system; eta c,i And η d,i Respectively the charging efficiency and the discharging efficiency of the energy storage system;
the energy storage system state of charge constraints are:
SOC i,min ≤SOC i,t ≤SOC i,max ；
the charge-discharge conversion times of the energy storage system are constrained as follows:
in the formula, N max And (4) the maximum charge and discharge conversion times in the energy storage system scheduling period.
Preferably, the upper layer model selects the photovoltaic rated output and the energy storage capacity of the user light and energy storage system by adopting a meta-heuristic algorithm or an enumeration method, and transmits the photovoltaic rated output and the energy storage capacity to the lower layer model, and the lower layer model obtains user electricity fee information by adopting a CBC solver and transmits the user electricity fee information to the upper layer model.
In order to solve the above technical problem, the present application further provides an optical storage system configuration device, including:
the acquisition module is used for acquiring historical electricity utilization data and environmental information;
the configuration module is used for confirming configuration parameters of the optical storage system according to user requirements;
the first setting module is used for setting upper-layer constraint conditions, constructing an upper-layer optimization model, and establishing an upper-layer objective function according to the configuration parameters and the environment information, and is used for selecting the photovoltaic rated output and the energy storage capacity of the light storage system;
the second setting module is used for setting a lower-layer constraint condition, constructing a lower-layer optimization model, and establishing a lower-layer objective function according to the configuration parameters and the historical electricity consumption data for generating a charge and discharge strategy of the battery;
and the confirmation module is used for confirming the configuration scheme of the optical storage system according to the solving results of the upper-layer optimization model and the lower-layer optimization model.
In order to solve the above technical problem, the present application further provides another optical storage system configuration apparatus, including a memory for storing a computer program;
a processor for implementing the steps of the configuration method of the optical storage system when executing the computer program.
To solve the above technical problem, 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 optical storage system configuration method as described above.
According to the configuration method of the optical storage system, historical electricity utilization data and environmental information are acquired; confirming configuration parameters of the optical storage system according to user requirements; setting upper-layer constraint conditions, constructing an upper-layer optimization model, and establishing an upper-layer objective function according to configuration parameters and environmental information, wherein the upper-layer objective function is used for selecting the photovoltaic rated output and the energy storage capacity of the optical storage system; setting a lower layer constraint condition, constructing a lower layer optimization model, and establishing a lower layer objective function according to configuration parameters and historical electricity consumption data for generating a charge and discharge strategy of the battery; and confirming the configuration scheme of the optical storage system according to the solving results of the upper layer optimization model and the lower layer optimization model. Compared with the prior art, the light storage system cannot be in an ideal matching state due to the fixed configuration method, and the performance is low.
In addition, the configuration device and the medium of the optical storage system provided by the application correspond to the configuration method of the optical storage system, and the effect is the same as that of the configuration device and the medium.
Drawings
In order to more clearly illustrate the embodiments of the present application, the drawings needed for the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings can be obtained by those skilled in the art without inventive effort.
Fig. 1 is a flowchart of a method for configuring an optical storage system according to an embodiment of the present disclosure;
fig. 2 is a structural diagram of an optical storage system configuration apparatus according to an embodiment of the present application;
fig. 3 is a structural diagram of another configuration apparatus of an optical storage system according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only some embodiments of the present application, and not all embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without any creative effort belong to the protection scope of the present application.
The core of the application is to provide a method, a device and a medium for configuring an optical storage system, so as to take account of economy and technology when configuring the optical storage system, improve the performance of the system and reduce the cost.
In order that those skilled in the art will better understand the disclosure, the following detailed description will be given with reference to the accompanying drawings.
Fig. 1 is a flowchart of a method for configuring an optical storage system according to an embodiment of the present application, and as shown in fig. 1, the method includes:
s10: acquiring historical electricity utilization data and environmental information;
s11: confirming configuration parameters of the optical storage system according to user requirements;
s12: setting upper-layer constraint conditions, constructing an upper-layer optimization model, and establishing an upper-layer objective function according to configuration parameters and environmental information, wherein the upper-layer objective function is used for selecting the photovoltaic rated output and the energy storage capacity of the optical storage system;
s13: setting a lower layer constraint condition, constructing a lower layer optimization model, and establishing a lower layer objective function according to configuration parameters and historical electricity consumption data for generating a charge and discharge strategy of the battery;
s14: and confirming the configuration scheme of the optical storage system according to the solving results of the upper layer optimization model and the lower layer optimization model.
The optimal configuration of the light storage system is to determine the system structure and equipment configuration according to specific targets and constraint conditions on the basis of statistical analysis on load requirements and illumination resources, so that the optimization of quantitative indexes such as economy, low carbon, energy utilization efficiency and the like is realized. The capacity configuration problem is the first problem to be solved in the design stage of the optical storage system, and the quality of the configuration scheme directly determines the safe operation and economic benefit of the power consumption of a user.
In actual engineering design, an empirical method or the total investment of users is adopted to determine the rated photovoltaic power and the capacity of the energy storage system, or a collocated capacity configuration scheme is directly adopted. The configuration scheme is difficult to ensure that the light storage is in an ideal matching state, and may cause higher investment cost and poorer performance of the whole system, and cannot exert the advantages of the light storage.
Generally, the existing configuration method of the optical storage system does not recommend a better configuration scheme for the user according to the actual power utilization information and weather information of the user, and the configuration scheme is determined only according to experience or total investment, which causes that the configuration scheme is not targeted and economic and technical properties cannot be taken into account, so that an optimal configuration method of the user optical storage system taking both economic and technical properties into account is urgently needed.
Historical electricity utilization data are active power information collected by the intelligent electric meter; the environmental information comprises longitude and latitude, illumination resources and temperature, the illumination resources are total radiation quantity Q of a unit area of a geographic position of a user in a day, and the method further comprises the step of obtaining irradiance G at a corresponding moment according to the illumination resources c,t The irradiance is calculated as:
wherein t is the current time, and a and b are sunrise time and sunset time respectively;
rated power S based on temperature, irradiance and photovoltaic array STC Calculating the output power S of a photovoltaic array PV,t ：
Wherein, G STC And T STC Irradiance and system temperature under standard test conditions, k is the power temperature coefficient, T c，t Is the surface temperature of the current photovoltaic power generation system.
The configuration method of the optical storage system provided by the embodiment combines the actual historical electricity utilization information and the meteorological information to construct a double-layer optimization configuration model, performs data analysis and optimization calculation, recommends a better configuration scheme for a user, and ensures the scientificity of the scheme. The method has the advantages that economy and technology are considered, a unified objective function considering multiple indexes is constructed, the economy index and the technology index are balanced in an autonomous and coordinated mode, a complex multi-objective solving algorithm does not need to be constructed, and the method is simple, practical and good in expandability. The invention can obtain the recommended scheme only by inputting a small amount of information such as capacity, price and the like in the whole optimal configuration process of the household light storage capacity, does not depend on the experience of technical personnel, and is convenient and quick to use.
According to the configuration method of the optical storage system, historical electricity utilization data and environmental information are acquired; confirming configuration parameters of the optical storage system according to user requirements; setting upper-layer constraint conditions, constructing an upper-layer optimization model, and establishing an upper-layer objective function according to configuration parameters and environmental information, wherein the upper-layer objective function is used for selecting the photovoltaic rated output and the energy storage capacity of the optical storage system; setting a lower layer constraint condition, constructing a lower layer optimization model, and establishing a lower layer objective function according to configuration parameters and historical electricity consumption data for generating a charge and discharge strategy of the battery; and confirming the configuration scheme of the optical storage system according to the solving results of the upper layer optimization model and the lower layer optimization model. Compared with the prior art, the light storage system cannot be in an ideal matching state due to the fixed configuration method, and the performance is low.
On the basis of the above embodiment, the configuration parameters include: equal annual cost and operation and maintenance cost C of photovoltaic system of user PV Equal annual cost and operation and maintenance cost C of energy storage system Batt Year operation cost C 'without light storage system' Y Annual operating cost of configuring the optical storage system C Y And the disposable patch C for photovoltaic power generation PV,sub Disposable patch C of energy storage system Batt,sub Spontaneous self-use ratio R suff And self-balancing rate R self The spontaneous self-utilization rate reflects the influence of the grid-connected micro-grid on self power generation, and the self-utilization rate reflects the self power supply capacity and the degree of dependence on the grid;
further, the upper layer objective function is:
min T C＝(C PV +C Batt +C Y -C′ Y -C PV,sub -C Batt,sub )×R suff ×R self 。
the calculation of the equal annual value cost and the operation and maintenance cost of the photovoltaic system of the user comprises the following steps:
the equal-year-value cost and the operation and maintenance cost of the energy storage system are calculated as follows:
wherein S is PV,i Is the photovoltaic system capacity; kappa PV,i Cost per unit capacity for the photovoltaic system; kappa type Batt,i For energy storage system capacity cost; gamma ray PV,i And gamma Batt,i The annual operation and maintenance cost per unit capacity of the photovoltaic system and the energy storage system; n is a radical of PV And N Batt The service life of the photovoltaic array and the energy storage system is prolonged; r is o The discount rate is the discount rate.
The calculation of the one-time subsidy of photovoltaic power generation is as follows:
wherein, c PV,sub,i Capacity subsidies are installed for a unit;
the rated power constraint of the photovoltaic system is calculated as:
S PV,i,min ＜＝S PV,i ＜＝S PV,i,max ；
wherein S is PV,i Rated power for the photovoltaic array;
the self-generated self-rate constraint is calculated as:
wherein, E DG The total amount of power generated for the distributed power supply; e Out The electricity sales amount of the micro-grid;
the self-balancing rate is calculated as:
wherein E is total The total demand of the load in the dispatching period; e In The power is purchased for the microgrid.
The annual operating cost is calculated as:
C Y ＝f(C o )；
wherein, C o The typical daily operating costs of the system.
The lower objective function is:
wherein, C In,t And C Out,t The electricity price of the electric quantity bought by the user and the electricity price of the sold electric quantity sold by the user are respectively in the time period from t to t + 1; p In,t And P Out,t Active power flowing into a user and active power flowing into a power grid in a period from t to t +1 respectively; c PV Supplementing the photovoltaic with electricity price; p PV,i,t Photovoltaic output is obtained.
The lower layer constraint conditions include:
carrying and maximum power purchasing power constraint:
in the formula, P In,t And P Out,t Respectively the power purchasing power and the power transmitted to the power grid; p is In,max And P Out,max Respectively representing the maximum allowable value of the power purchasing power and the maximum allowable value of the power transferring to the power grid; b is In,t And B Out,t Respectively representing the electricity purchasing state and the electricity selling state of the microgrid in the time period t for a variable with the value of 0 or 1, B In,t Is 1, the microgrid is in a power purchasing state, B Out,t If the number of the microgrid is 1, the microgrid is in an electricity selling state, and if the microgrid number is 0, the microgrid system does not buy electricity or sell electricity;
the power balance equation is:
wherein, P loss Approximate losses for the optical storage system;
the charge and discharge power constraint of the energy storage system is as follows:
in the formula, B d,i,t And B c,i,t For variables with values of 0 or 1, respectivelyCharacterization of the discharge and charge states of the energy storage system during time t, B d,i,t 1 indicates that the energy storage system is in a discharge state, B c,i,t If the value is 1, the energy storage system is in a charging state, and if the value is 0, the energy storage system is in a stopping state and is not charged or discharged; p d,i,max And P c,i,max Respectively the maximum discharge power and the maximum charge power of the energy storage system;
the energy storage system state of charge constraints are:
SOC i,t ＝SOC i,t-1 +η c,i P c,i,t Δt/E i,max -P d,i,t Δt/η d,i E i,max ；
in the formula, SOC i,t The state of charge of the energy storage system at the moment t; e i,max The maximum state of charge of the energy storage system; eta c,i And η d,i Respectively the charging efficiency and the discharging efficiency of the energy storage system;
the energy storage system state of charge constraints are:
SOC i,min ≤SOC i,t ≤SOC i,max ；
the charge-discharge conversion times of the energy storage system are constrained as follows:
in the formula, N max And (4) the maximum charge and discharge conversion times in the energy storage system scheduling period.
The upper layer model adopts a meta-heuristic algorithm or an enumeration method to select the photovoltaic rated output and the energy storage capacity of the user light storage system and transmits the photovoltaic rated output and the energy storage capacity to the lower layer model, and the lower layer model adopts a CBC solver to obtain the user electricity fee information and transmits the user electricity fee information to the upper layer model.
In the above embodiments, the method for configuring the optical storage system is described in detail, and the present application also provides corresponding embodiments of the optical storage system configuration apparatus. It should be noted that the present application describes the embodiments of the apparatus portion from two perspectives, one is from the perspective of the function module, and the other is from the perspective of the hardware.
Fig. 2 is a structural diagram of an optical storage system configuration apparatus according to an embodiment of the present application, and as shown in fig. 2, the apparatus includes:
the acquisition module 10 is used for acquiring historical electricity consumption data and environmental information;
the configuration module 11 is configured to confirm configuration parameters of the optical storage system according to user requirements;
the first setting module 12 is used for setting upper layer constraint conditions, constructing an upper layer optimization model, establishing an upper layer objective function according to configuration parameters and environmental information, and selecting the photovoltaic rated output and the energy storage capacity of the light storage system;
the second setting module 13 is used for setting a lower-layer constraint condition, constructing a lower-layer optimization model, and establishing a lower-layer objective function according to the configuration parameters and the historical electricity consumption data, and is used for generating a charge and discharge strategy of the battery;
and the confirming module 14 is used for confirming the configuration scheme of the optical storage system according to the solving results of the upper layer optimization model and the lower layer optimization model.
Since the embodiments of the apparatus portion and the method portion correspond to each other, please refer to the description of the embodiments of the method portion for the embodiments of the apparatus portion, which is not repeated here.
The light storage system configuration device provided by the application acquires historical electricity utilization data and environmental information; confirming configuration parameters of the optical storage system according to user requirements; setting upper-layer constraint conditions, constructing an upper-layer optimization model, and establishing an upper-layer objective function according to configuration parameters and environmental information, wherein the upper-layer objective function is used for selecting the photovoltaic rated output and the energy storage capacity of the optical storage system; setting a lower layer constraint condition, constructing a lower layer optimization model, and establishing a lower layer objective function according to configuration parameters and historical electricity consumption data for generating a charge and discharge strategy of the battery; and confirming the configuration scheme of the optical storage system according to the solving results of the upper layer optimization model and the lower layer optimization model. Compared with the prior art, the light storage system cannot be in an ideal matching state due to the fixed configuration method, and the performance is low.
Fig. 3 is a structural diagram of another optical storage system configuration apparatus provided in an embodiment of the present application, and as shown in fig. 3, the apparatus includes: a memory 20 for storing a computer program;
the processor 21 is configured to implement the steps of the configuration method of the optical storage system according to the above embodiment when executing the computer program.
The light storage system configuration apparatus provided in this embodiment may include, but is not limited to, a smart phone, a tablet computer, a notebook computer, or a desktop computer.
The processor 21 may include one or more processing cores, such as a 4-core processor, an 8-core processor, and the like. The Processor 21 may be implemented in hardware using at least one of a Digital Signal Processor (DSP), a Field-Programmable Gate Array (FPGA), and a Programmable Logic Array (PLA). The processor 21 may also include a main processor and a coprocessor, where the main processor is a processor for Processing data in an awake state, and is also called a Central Processing Unit (CPU); a coprocessor is a low power processor for processing data in a standby state. In some embodiments, the processor 21 may be integrated with a Graphics Processing Unit (GPU) which is responsible for rendering and drawing the content required to be displayed on the display screen. In some embodiments, the processor 21 may further include an Artificial Intelligence (AI) processor for processing computational operations related to machine learning.
The memory 20 may include one or more computer-readable storage media, which may be non-transitory. Memory 20 may also include high speed random access memory, as well as non-volatile memory, such as one or more magnetic disk storage devices, flash memory storage devices. In this embodiment, the memory 20 is at least used for storing a computer program 201, wherein after being loaded and executed by the processor 21, the computer program can implement the relevant steps of the optical storage system configuration method disclosed in any of the foregoing embodiments. In addition, the resources stored in the memory 20 may also include an operating system 202, data 203, and the like, and the storage manner may be a transient storage manner or a permanent storage manner. Operating system 202 may include, among others, windows, unix, linux, and the like. Data 203 may include, but is not limited to, historical electricity usage data, configuration parameters, and the like.
In some embodiments, the light storage system configuration device may further include a display 22, an input/output interface 23, a communication interface 24, a power supply 25, and a communication bus 26.
Those skilled in the art will appreciate that the configuration shown in fig. 3 does not constitute a limitation of the light storage system configuration means and may include more or fewer components than those shown.
The configuration device of the optical storage system provided by the embodiment of the application comprises a memory and a processor, and when the processor executes a program stored in the memory, the following method can be realized: acquiring historical electricity utilization data and environmental information; confirming configuration parameters of the optical storage system according to user requirements; setting upper-layer constraint conditions, constructing an upper-layer optimization model, and establishing an upper-layer objective function according to configuration parameters and environmental information, wherein the upper-layer objective function is used for selecting the photovoltaic rated output and the energy storage capacity of the optical storage system; setting a lower layer constraint condition, constructing a lower layer optimization model, and establishing a lower layer objective function according to configuration parameters and historical electricity consumption data for generating a charge and discharge strategy of the battery; and confirming the configuration scheme of the optical storage system according to the solving results of the upper layer optimization model and the lower layer optimization model.
Finally, the application also provides a corresponding embodiment of the computer readable storage medium. The computer-readable storage medium has stored thereon a computer program which, when being executed by a processor, carries out the steps as set forth in the above-mentioned method embodiments.
It is to be understood that if the method in the above embodiments is implemented in the form of software functional units and sold or used as a stand-alone product, it can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application, which are essential or part of the prior art, or all or part of the technical solutions may be embodied in the form of a software product, which is stored in a storage medium and executes all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, an optical disk, or other various media capable of storing program codes.
The method, the apparatus and the medium for configuring the optical storage system provided by the present application are described in detail above. The embodiments are described in a progressive manner in the specification, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description. It should be noted that, for those skilled in the art, it is possible to make several improvements and modifications to the present application without departing from the principle of the present application, and such improvements and modifications also fall within the scope of the claims of the present application.
It is further noted that, in the present specification, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising a," "8230," "8230," or "comprising" does not exclude the presence of additional like elements in a process, method, article, or apparatus that comprises the element.
Claims (10)
1. A method for configuring an optical storage system, comprising:
acquiring historical electricity utilization data and environmental information;
confirming configuration parameters of the optical storage system according to user requirements;
setting upper-layer constraint conditions, constructing an upper-layer optimization model, and establishing an upper-layer objective function according to the configuration parameters and the environmental information, wherein the upper-layer objective function is used for selecting the photovoltaic rated output and the energy storage capacity of the optical storage system;
setting a lower layer constraint condition and constructing a lower layer optimization model, and establishing a lower layer objective function according to the configuration parameters and the historical electricity consumption data for generating a charge and discharge strategy of the battery;
and confirming the configuration scheme of the optical storage system according to the solving results of the upper layer optimization model and the lower layer optimization model.
2. The light storage system configuration method according to claim 1, wherein the historical electricity consumption data is active power information collected by a smart meter; the environmental information comprises longitude and latitude, illumination resources and temperature, the illumination resources are total radiant quantity Q of a user geographical position unit area in one day, and the method further comprises the step of obtaining irradiance G of corresponding time according to the illumination resources c,t The irradiance is calculated as:
wherein t is the current time, and a and b are sunrise time and sunset time respectively;
based on the temperature, the irradiance and a rated power S of the photovoltaic array STC Calculating the output power S of the photovoltaic array PV,t ：
Wherein G is STC And T STC Irradiance and system temperature under standard test conditions, k is the power temperature coefficient, T c，t Is the surface temperature of the current photovoltaic power generation system.
3. The light storage system configuration method of claim 2, wherein the configuration parameters comprise: equal annual value cost and operation and maintenance cost C of photovoltaic system of user PV Equal annual cost and operation and maintenance cost C of energy storage system Batt Year operation cost C 'without light storage system' Y Annual running cost C for configuring the optical storage system Y Photovoltaic power generation disposable patch C PV,sub Disposable patch C of energy storage system Batt,sub Spontaneous self-use rate R suff And self-balancing rate R self The self-generating self-rate reflects the influence of the grid-connected micro-grid on self power generation, and the self-generating self-rate reflects the self power supply capacity and the degree of dependence on the grid;
further, the upper layer objective function is:
minTC＝(C PV +C Batt +C Y -C′ Y -C PV,sub -C Batt,sub )×R suff ×R self 。
4. a method for configuring a light storage system according to claim 3, wherein the equivalent annual cost and the operating and maintenance cost of the consumer photovoltaic system are calculated as:
the calculation of the equal-year-value cost and the operation and maintenance cost of the energy storage system is as follows:
wherein S is PV,i Is the photovoltaic system capacity; kappa type PV,i Cost per unit capacity for the photovoltaic system; kappa Batt,i Energy storage system capacity cost; gamma ray PV,i And gamma Batt,i Annual operation and maintenance cost of a photovoltaic system and an energy storage system; n is a radical of PV And N Batt The service life of the photovoltaic array and the energy storage system is prolonged; r is a radical of hydrogen o The current rate is the current rate;
the calculation of the one-time subsidy of the photovoltaic power generation is as follows:
wherein, c PV,sub,i Capacity subsidies are installed for a unit;
the rated power constraint of the photovoltaic system is calculated as:
S PV,i,min ＜＝S PV,i ＜＝S PV,i,max ；
wherein S is PV,i Rated power for the photovoltaic array;
the self-generated self-rate constraint is calculated as:
wherein E is DG The total amount of power generated for the distributed power supply; e Out The electricity sales amount of the micro-grid;
the self-balancing rate is calculated as follows:
wherein E is total The total demand of the load in the dispatching period; e In Purchasing power for the microgrid;
the annual operating cost is calculated as:
C Y ＝f(C o )；
wherein, C o The typical daily operating costs of the system.
5. The method of claim 4, wherein the lower layer objective function is:
wherein, C In,t And C Out,t The electricity price of the electric quantity bought by the user and the electricity price of the sold electric quantity sold by the user are respectively in the time period from t to t + 1; p In,t And P Out,t Active power flowing into a user and active power flowing into a power grid in a period from t to t +1 respectively; c PV Supplementing the photovoltaic with electricity price; p PV,i,t The photovoltaic output is obtained.
6. The method of configuring a light storage system according to claim 5, wherein the lower layer constraints comprise:
carrying and maximum power purchasing power constraint:
in the formula, P In,t And P Out,t Respectively the power purchased and the power transmitted to the power grid; p In,max And P Out,max Respectively representing the maximum allowable value of the power purchasing power and the maximum allowable value of the power transferring to the power grid; b In,t And B Out,t Respectively representing the electricity purchasing state and the electricity selling state of the microgrid in the time period t for a variable with the value of 0 or 1, B In,t Is 1, the microgrid is in a power purchasing state, B Out,t The number 1 indicates that the microgrid is in a power selling state, and if the number is 0, the microgrid system does not purchase or sell power;
the power balance equation is:
wherein, P loss Approximate losses for the optical storage system;
the charge and discharge power constraint of the energy storage system is as follows:
in the formula, B d,i,t And B c,i,t Is a variable with the value of 0 or 1, respectively represents the discharge and charge states of the energy storage system in the time period t, B d,i,t 1 indicates that the energy storage system is in a discharge state, B c,i,t If the value is 1, the energy storage system is in a charging state, and if the value is 0, the energy storage system is in a stopping state and is not charged or discharged; p is d,i,max And P c,i,max Respectively the maximum discharge power and the maximum charge power of the energy storage system;
the energy storage system state of charge constraints are:
SOC i,t ＝SOC i,t-1 +η c,i P c,i,t Δt/E i,max -P d,i,t Δt/η d,i E i,max ；
in the formula, SOC i,t The state of charge of the energy storage system at the moment t; e i,max The maximum state of charge of the energy storage system; eta c,i And η d,i Respectively the charging efficiency and the discharging efficiency of the energy storage system;
the energy storage system state of charge constraints are:
SOC i,min ≤SOC i,t ≤SOC i,max ；
the charge-discharge conversion times of the energy storage system are constrained as follows:
in the formula, N max Maximum charge-discharge transition for energy storage system scheduling cycleThe number of times.
7. The light storage system configuration method according to claim 1, wherein the upper layer model selects the photovoltaic rated output and the energy storage capacity of the user light storage system by using a meta-heuristic algorithm or an enumeration method, and transmits the photovoltaic rated output and the energy storage capacity to the lower layer model, and the lower layer model obtains user electricity fee information by using a CBC solver and transmits the user electricity fee information to the upper layer model.
8. An optical storage system configuration apparatus, comprising:
the acquisition module is used for acquiring historical electricity utilization data and environmental information;
the configuration module is used for confirming configuration parameters of the optical storage system according to user requirements;
the first setting module is used for setting upper-layer constraint conditions, constructing an upper-layer optimization model, and establishing an upper-layer objective function according to the configuration parameters and the environmental information, and is used for selecting the photovoltaic rated output and the energy storage capacity of the light storage system;
the second setting module is used for setting a lower-layer constraint condition, constructing a lower-layer optimization model, and establishing a lower-layer objective function according to the configuration parameters and the historical electricity consumption data for generating a charge and discharge strategy of the battery;
and the confirmation module is used for confirming the configuration scheme of the optical storage system according to the solving results of the upper-layer optimization model and the lower-layer optimization model.
9. An optical storage system configuration apparatus comprising a memory for storing a computer program;
a processor for implementing the steps of the light storage system configuration method according to any one of claims 1 to 7 when executing said computer program.
10. A computer-readable storage medium, characterized in that a computer program is stored thereon, which computer program, when being executed by a processor, carries out the steps of the method of configuring an optical storage system according to any one of claims 1 to 7.
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| CN117369619B (en) * | 2023-12-06 | 2024-03-22 | 深圳市德晟达电子科技有限公司 | Intelligent energy-saving method and system for computer |
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