CN113743978B - Time-of-use electricity price making method and device of source network charge storage system and terminal equipment - Google Patents
Time-of-use electricity price making method and device of source network charge storage system and terminal equipment Download PDFInfo
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Abstract
The invention is suitable for the technical field of power grids, and provides a time-of-use electricity price making method, a device and terminal equipment of a source network charge storage system, wherein the method comprises the following steps: acquiring energy consumption data of a load side user in a target source network load storage system, and establishing an energy consumption model of the load side user according to the energy consumption data; acquiring power generation data of a source side distributed power supply in a target source network charge storage system, and establishing a power generation model of the source side distributed power supply according to the power generation data; establishing an interactive time-of-use electricity price setting model of the target source network charge storage system based on the energy consumption model and the power generation model; and solving the interactive time-of-use electricity price establishment model based on the multi-objective algorithm to obtain a time-of-use electricity price scheme of the objective source network charge storage system. The method can flexibly and reliably formulate the time-of-use electricity price of the system, thereby effectively guiding the electricity utilization behavior of users and promoting the consumption of new energy and the safe and stable operation of the power distribution network.
Description
Technical Field
The invention belongs to the technical field of power grids, and particularly relates to a time-of-use electricity price making method, a time-of-use electricity price making device and terminal equipment of a source network charge storage system.
Background
With the continuous development of novel clean energy, the access proportion of the distributed renewable energy sources in the power grid is continuously improved, and the complexity of operation scheduling of the power distribution network is also improved. The power distribution network system comprising the source network charge storage subsystem has the advantages of multiple controllable sources and abundant schedulable resources, but the safety, stability and economy of the power distribution network are difficult to ensure due to the fluctuation and randomness of the output of renewable energy sources such as wind power, photovoltaic and the like. On the other hand, as the power utilization users are diversified, the load of the power system is continuously increased, the peak-valley difference of the load is gradually increased, and a certain difficulty is also added to the power grid operation scheduling.
For a source network load storage and distribution network system accessed by high-proportion renewable energy, the traditional scheduling method is to utilize the demand response of a user to perform operation scheduling to realize peak clipping and valley filling of the load. In such scheduling methods, demand responses are generally classified into incentive-based demand responses and price-based demand responses. However, in the power distribution network system, frequent fluctuation of the electricity price can influence the user's willingness to respond to the real-time electricity price, the adjustment flexibility of the electricity price is poor, and the effect of adjusting the electricity consumption behavior of the user is difficult to effectively play.
Disclosure of Invention
In view of the above, the embodiment of the invention provides a time-of-use electricity price making method, a device and terminal equipment of a source network charge storage system, which can flexibly adjust the electricity price in the source network charge storage distribution network system.
A first aspect of an embodiment of the present invention provides a method for making a time-of-use electricity price of a source network charge storage system, including:
acquiring energy consumption data of a load side user in a target source network load storage system, and establishing an energy consumption model of the load side user according to the energy consumption data;
acquiring power generation data of a source side distributed power supply in a target source network charge storage system, and establishing a power generation model of the source side distributed power supply according to the power generation data;
establishing an interactive time-of-use electricity price establishment model of the target source network charge storage system based on the energy consumption model and the power generation model;
and solving the interactive time-of-use electricity price setting model based on a multi-objective algorithm to obtain a time-of-use electricity price scheme of the objective source network charge storage system.
A second aspect of the embodiment of the present invention provides a time-of-use electricity price making device of a source network charge storage system, including:
the energy consumption model building module is used for obtaining energy consumption data of a load side user in the target source network load storage system and building an energy consumption model of the load side user according to the energy consumption data;
the power generation model building module is used for obtaining power generation data of a source side distributed power supply in the target source network charge storage system and building a power generation model of the source side distributed power supply according to the power generation data;
the interactive time-of-use electricity price making module is used for establishing an interactive time-of-use electricity price making model of the target source network charge storage system based on the energy consumption model and the power generation model;
and the time-of-use electricity price solution module is used for solving the interactive time-of-use electricity price formulation model based on a multi-objective algorithm to obtain the time-of-use electricity price solution of the objective source network charge storage system.
A third aspect of the embodiments of the present invention provides a terminal device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the method as described above when executing the computer program.
A fourth aspect of the embodiments of the present invention provides a computer-readable storage medium storing a computer program which, when executed by a processor, implements the steps of the method as described above.
A fifth aspect of the embodiments of the present invention provides a computer program product for causing an electronic device to carry out the steps of the method according to any one of the first aspects described above when the computer program product is run on a terminal device.
Compared with the prior art, the embodiment of the invention has the beneficial effects that: the embodiment of the invention provides a time-of-use electricity price making method of a source network charge storage system, which comprises the steps of obtaining energy consumption data of a charge side user in a target source network charge storage system, and establishing an energy consumption model of the charge side user according to the energy consumption data; acquiring power generation data of a source side distributed power supply in a target source network charge storage system, and establishing a power generation model of the source side distributed power supply according to the power generation data; establishing an interactive time-of-use electricity price setting model of the target source network charge storage system based on the energy consumption model and the power generation model; and solving the interactive time-of-use electricity price establishment model based on the multi-objective algorithm to obtain a time-of-use electricity price scheme of the objective source network charge storage system. The time-sharing electricity price setting method of the source network and the storage system provided by the embodiment of the invention can flexibly and reliably set the time-sharing electricity price of the system, thereby effectively guiding the electricity utilization behavior of a user and promoting the consumption of new energy and the safe and stable operation of the power distribution network.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments or the description of the prior art will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is an application scenario schematic diagram of a time-of-use electricity price making method of a source network charge storage system provided by an embodiment of the present invention;
fig. 2 is a schematic implementation flow diagram of a method for making a time-of-use electricity price of a source network charge storage system according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a time-of-use electricity price making device of a source network charge storage system according to an embodiment of the present invention;
fig. 4 is a schematic diagram of a terminal device according to an embodiment of the present invention.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth such as the particular system architecture, techniques, etc., in order to provide a thorough understanding of the embodiments of the present invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
In order to illustrate the technical scheme of the invention, the following description is made by specific examples.
Fig. 1 shows a power distribution network system to which a time-of-use electricity price making method of a source network charge storage system provided by an embodiment of the present invention is applied. Referring to fig. 1, in a specific application scenario, the power distribution network system includes four subsystems, namely a "source", "a" network "," a "charge" and a "storage", where the subsystems are constantly interacted to maintain safe and stable operation of the power distribution network system.
Specifically, the power supply subsystem comprises a plurality of new energy power generation subsystems, the active decoupling device and the reactive decoupling device of the doubly-fed induction wind turbine generator and the photovoltaic inverter are utilized on the 'source' side to rapidly respond to reactive compensation of time sequence dynamics, meanwhile, the coordination of the distributed renewable energy source, the on-load voltage regulating transformer and the capacitor parallel group is utilized to fully improve voltage distribution, multi-heterogeneous output time sequence characteristic and spatial distribution characteristic complementation of the distributed renewable energy source are realized, the influence of power fluctuation on system operation is reduced, and the consumption of the distributed renewable energy source is promoted. The energy storage subsystem comprises various energy storage devices, the 'storage' side can quickly respond to the scheduling instruction, the distributed renewable energy source output can be tracked quickly, and the digestion is promoted. The load subsystem comprises a plurality of users with different electricity types and load amounts, and the 'load' side changes the power consumption behavior of the resident users by mobilizing the resident active load and time-of-use electricity price signals, so that the cost is reduced, the adjustable characteristic of the active load is fully exerted, the system operation control is participated, flexible resources are provided, the intermittent distributed renewable energy output is tracked, and the on-site consumption of the load side is promoted. The power grid subsystem is used for connecting the power distribution network system with an external power grid, the 'network' side can be gradually accessed along with the control of the remote control switch, and the power distribution network has faster and flexible reconstruction capability.
The interaction of the source and the charge can realize peak clipping and valley filling of electricity. Interaction of the "source" with the "grid" may mitigate fluctuations in the output of the distribution grid. The interaction of the "source" with the "reservoir" may enable support of both active and reactive frequencies. The interaction of the 'storage' and the 'charge' can realize the stabilization of force fluctuation and low-storage high-hair arbitrage. The interaction of the load and the network can promote the new energy consumption, and the problem of dynamic space-time distribution matching unbalance during the access of the distributed renewable energy sources with different characteristics is solved by considering the influence of the space diversity of the resident active load on the power flow and the voltage distribution of the power distribution network and further optimizing the power flow distribution of the power distribution network. The interaction of the storage and the network can realize the function of optimizing the power flow distribution.
Fig. 2 shows a schematic implementation flow diagram of a time-of-use electricity price making method of a source network charge storage system according to an embodiment of the present invention. Referring to fig. 2, in some embodiments, a method for making a time-of-use electricity price of a source network charge storage system according to an embodiment of the present invention may include steps S101 to S104.
S101: and acquiring energy consumption data of a load side user in a target source network load storage system, and establishing an energy consumption model of the load side user according to the energy consumption data.
In some embodiments, the load may be divided into an uncontrollable load, a transferable load, and an interruptible load. Wherein a power outage of an uncontrolled load affects the normal life of the resident and thus cannot participate in demand response, such as lighting, television shows, desktop computers, etc. The electricity utilization time of the transferable load is flexible, and the work requirements can be met within a certain time, such as a washing machine, an electric cooker and the like. The interruptible load can be powered off in a short time without affecting the normal life of the user, such as an air conditioner, a water heater, etc. However, after the power consumption of the interruptible load is interrupted, the working state of the interruptible load is changed, the power consumption is reduced due to the hardness of the power interruption of the load, and the comfort level of a user can be influenced when the power interruption time of the equipment is too long. The transferable load and the interruptible load are used as active loads to participate in demand response, so that the consumption demand of the distributed power supply is met.
Correspondingly, the energy consumption model comprises an uncontrollable load model, a transferable load model and an interruptible load model.
The expression for the uncontrollable load model may be:
wherein,for the minimum power consumption of the device, < > for>For maximum power consumption of the device, +.>For the initial run time of the device, +.>P for ending runtime of device t U Power consumption for the period t.
The expression of the transferable load model may be:
wherein,minimum power consumption to accomplish a task for a transferable load device.
The transferable load model shows that the power of the transferable load device is in the operating range in the operating time of the transferable load device, and the power consumption is required to meet the minimum power consumption requirement after the operation of the transferable load is finished, so that the device is indicated to complete the work. The transferable load device can participate in the load response requirements of the power grid by transferring the power usage period and ensuring that the operational requirements are completed.
The expression of the interruptible load model may be:
wherein P is t I To interrupt the power consumption of the load device in the t period,minimum comfort requirement to be met for an interruptible load device, < >>Actual comfort value for the device for the resident user during period t.
As can be seen from the interruptible load model, during operation of the interruptible load device, when the actual state of the device meets the user comfort requirement, the minimum power consumption thereof can be zero; when the actual state of the anti-legal device does not meet the comfort requirement of the user, the minimum power consumption is the rated power of the electric appliance. The interruptible load model limits the operation of the interruptible load equipment, so that the interruptible load equipment can participate in load scheduling on the premise of meeting the comfort requirement of users.
S102: and acquiring power generation data of a source side distributed power supply in a target source network charge storage system, and establishing a power generation model of the source side distributed power supply according to the power generation data.
In some embodiments, the power generation model comprises a photovoltaic output model.
In some embodiments, the expression of the photovoltaic output model may be:
wherein,for the distributed photovoltaic output of the period t, n PV For the area-separated photovoltaic quantity, +.>Is the rated output of distributed photovoltaic under standard conditions, L t For the illumination radiation intensity of T period, T t At a temperature of t period, L S Is the illumination radiation intensity under standard conditions, T S Temperature under standard conditions, η PV Is the temperature coefficient of the output.
As known from the power generation model, the output of a distributed photovoltaic module for converting solar energy into electric energy depends on the irradiation degree and the temperature of illumination.
S103: and establishing an interactive time-sharing electricity price establishment model of the target source network charge storage system based on the energy consumption model and the power generation model.
In some embodiments, S103 comprises: and establishing a grid-connected point load model and an electricity price model of the platform region of the target source network charge storage system based on the energy consumption model and the power generation model. And establishing an objective function of the target source network load storage system based on the past load model and the electricity price model of the platform area.
In some embodiments, a time-of-use electricity price formulation model of the source network charge storage system under the access of the proportional renewable energy source is constructed based on the distributed photovoltaic output, the exchange power inside and outside the transformer area, the energy storage model and the constraint condition.
In some embodiments, the time-of-use electricity price formulation model may include a grid-tie point load model.
The expression of the platform grid-connected point load model can be:
wherein,exchanging power inside and outside the station area for t period, < >>For the power load of user k in time t, < >>Outsourcing power for a t period of station, +.>And (5) surfing the net for t-period distributed photovoltaic.
According to the grid-connected point load model of the platform region, in the source grid load storage system, distributed photovoltaic in the platform region is firstly subjected to on-site digestion, the power consumption requirement in the platform region is met, redundant electric energy is transmitted to a power grid, and the deficiency is supplied by an external power grid. When the power exchange between the inside and the outside of the station area is greater than zero, the power consumption requirement in the station area cannot be completely met through the distributed photovoltaic, and the power exchange between the inside and the outside of the station area is the too late outsourcing power. When the exchange power between the inside and the outside of the platform area is smaller than zero, the distributed photovoltaic still remains after the power demand of the platform area is met, and the absolute value of the exchange power between the inside and the outside of the platform area is the power output of the distributed photovoltaic on-line.
In some embodiments, the time-of-use electricity rate formulation model may include an electricity rate model.
The expression of the electricity price model may be:
wherein,for the electricity price of user k in time t period, +.>The time-of-use electricity prices of the peak, flat and valley periods respectively.
In some embodiments, the optimization objective of the objective function is the maximum gain of the objective source network charge storage system and the maximum photovoltaic in-situ consumption of the objective source network charge storage system.
Specifically, the benefits of the target source network charge storage system comprise user electricity selling income, district user capacity income and distributed photovoltaic internet surfing income, and the cost comprises outsourcing electric quantity electricity fees and capacity electricity fees.
In some embodiments, the objective function of the objective source network charge storage system may be:
wherein W is S Selling electricity income for users in the area, W C For the income of the user capacity of the station area, W G For distributed photovoltaic Internet income, C P For outsourcing electric quantity and electric charge, C C C is the electric charge of capacity se To store energy for the purpose of running a net gain,for the capacity revenue of user k, p G For distributed photovoltaic internet electricity price, < >>Selling electricity price for t-period external power grid, p C For the price of electricity capacity, < >>For the energy storage charging and discharging power, sigma of the jth energy storage unit in the station area in the period t se Is an energy storage operation benefit coefficient.
According to the objective function, the electricity selling income of the station users is the sum of the electricity consumption of the station users in different time periods and the power price of other stations. Because the electricity quantity of the station users is partially supplied by photovoltaic in-situ power consumption, the electricity price of the station in the corresponding period is the electricity price of the distributed photovoltaic in-situ power consumption. The incomes of the distributed photovoltaic internet are the sum of products of the power quantity of the distributed photovoltaic internet and the power price of the distributed photovoltaic internet in different time periods. The online electricity price can refer to the online electricity price of the coal-fired unit, and the electricity prices in different time periods are the same. The electricity charge of the outsourcing electricity is the sum of the outsourcing electricity of the areas in different time periods and the multiplier of the sales electricity price of the external power grid, the sales electricity price of the external power grid is the peak-valley electricity price, and the outsourcing electricity of the areas is respectively settled according to the peak-valley time periods divided by the sales electricity price of the external power grid.
The demand response strategy provided by the embodiment can fully consider the electricity utilization habit and the electricity utilization willingness of the user, and meets the requirement of distributed power supply consumption on the premise of not affecting the normal life of residents. Compared with the single power supply side digestion, the digestion method can mobilize subjective activity of the user under the interaction of source network load storage, reduce the power operation and maintenance cost and keep good interaction between the power enterprise and the user.
S104: and solving the interactive time-of-use electricity price setting model based on a multi-objective algorithm to obtain a time-of-use electricity price scheme of the objective source network charge storage system.
In some embodiments, S104 comprises: and solving the interactive time-of-use electricity price setting model under a preset constraint condition to obtain a time-of-use electricity price scheme of the target source network charge storage system.
Specifically, the preset constraint conditions comprise non-negative constraint, electricity price decreasing constraint and internal and external exchange power constraint.
Specifically, the expression for the non-negative constraint may be:
the expression of the electricity price decremental constraint may be:
the electricity price decreasing constraint, namely the electricity price in the peak-to-valley period, is sequentially decreased, and the in-situ absorption of the distributed photovoltaic can be promoted by the electricity price decreasing constraint, so that peak clipping and valley filling are promoted.
The expression for the inner and outer switching power constraints may be:
wherein E is T The capacity of the grid-connected point transformer is obtained.
In this embodiment, the time-sharing electricity price making model is capable of flexibly determining a refined and differentiated peak-to-valley electricity price relative to a demand response mechanism of real-time electricity price. The time-of-use electricity price making method provided by the embodiment can consider the process of participation of active load in demand response and the charging and discharging process of the energy storage system, and is more in line with the actual interaction situation of a user and the power distribution network.
The time-sharing electricity price making method of the source network charge storage system provided by the embodiment of the invention can flexibly make time-sharing electricity price making, thereby effectively adjusting the electricity consumption behavior of a user and promoting the in-situ consumption of new energy and the safe and stable operation of a power distribution network system. Specifically, compared with the power supply side consumption of the distributed renewable energy sources, the method provided by the embodiment of the invention can reduce the investment cost of the power grid and effectively integrate the response resources of the demand side; compared with a demand response mechanism of real-time electricity price, the self-generating automatic comprehensive efficiency of the distributed power supply is higher, the economic benefit is better, and the initiative of the main pipe for scheduling the user to actively load to participate in time-sharing electricity price is stronger.
It should be understood that the sequence number of each step in the foregoing embodiment does not mean that the execution sequence of each process should be determined by the function and the internal logic, and should not limit the implementation process of the embodiment of the present invention.
Fig. 3 is a schematic structural diagram of a time-of-use electricity price setting device of a source network charge storage system according to an embodiment of the present invention. Referring to fig. 3, in some embodiments, a time-of-use electricity price making device 30 of a source network charge storage system provided in an embodiment of the present invention may include: the system comprises an energy utilization model building module 310, a power generation model building module 320, an interactive time-of-use electricity price making module 330 and a time-of-use electricity price scheme solving module 340.
The energy model building module 310 is configured to obtain energy data of a load side user in a target source network load storage system, and build an energy model of the load side user according to the energy data.
The power generation model building module 320 is configured to obtain power generation data of a source-side distributed power supply in a target source network load storage system, and build a power generation model of the source-side distributed power supply according to the power generation data.
The interactive time-of-use electricity price making module 330 is configured to establish an interactive time-of-use electricity price making model of the target source network charge storage system based on the energy consumption model and the power generation model.
The time-of-use electricity price solution module 340 is configured to solve the interactive time-of-use electricity price formulation model based on a multi-objective algorithm, so as to obtain a time-of-use electricity price solution of the objective source network charge storage system.
The time-sharing electricity price setting device of the source network charge storage system provided by the embodiment of the invention can flexibly set the time-sharing electricity price, thereby effectively adjusting the electricity consumption behavior of a user and promoting the in-situ consumption of new energy and the safe and stable operation of a power distribution network system.
In some embodiments, the energy usage model includes an uncontrollable load model, a transferable load model, and an interruptible load model.
In some embodiments, the power generation model comprises a photovoltaic output model.
In some embodiments, the interactive time-of-use electricity price formulation module 330 is specifically configured to: and establishing a grid-connected point load model and an electricity price model of the platform region of the target source network charge storage system based on the energy consumption model and the power generation model. And establishing an objective function of the target source network load storage system based on the past load model and the electricity price model of the platform area.
In some embodiments, the optimization objective of the objective function is the maximum gain of the objective source network charge storage system and the maximum photovoltaic in-situ consumption of the objective source network charge storage system.
In some embodiments, the time-of-use electricity price solution module 340 is specifically configured to: and solving the interactive time-of-use electricity price setting model under a preset constraint condition to obtain a time-of-use electricity price scheme of the target source network charge storage system.
In some embodiments, the preset constraints include a non-negative constraint, a power rate decrementing constraint, and an internal and external exchange power constraint.
Fig. 4 is a schematic diagram of a terminal device according to an embodiment of the present invention. As shown in fig. 4, the terminal device 40 of this embodiment includes: a processor 400, a memory 410, and a computer program 420 stored in the memory 410 and executable on the processor 400, such as a time-of-use electricity price formulation program for a source network load storage system. The processor 40 executes the computer program 420 to implement the steps in the embodiment of the method for making a time-of-use electricity price of each source network charge storage system, for example, steps S101 to S104 shown in fig. 2. Alternatively, the processor 400, when executing the computer program 420, performs the functions of the modules/units of the apparatus embodiments described above, e.g., the functions of the modules 310 to 340 shown in fig. 3.
Illustratively, the computer program 420 may be partitioned into one or more modules/units that are stored in the memory 410 and executed by the processor 400 to accomplish the present invention. The one or more modules/units may be a series of computer program instruction segments capable of performing the specified functions, which instruction segments describe the execution of the computer program 420 in the terminal device 40. For example, the computer program 420 may be partitioned into a power consumption model building module, a power generation model building module, an interactive time-of-use price formulation module, and a time-of-use price solution module.
The terminal device 40 may be a computing device such as a desktop computer, a notebook computer, a palm computer, and a cloud server. The terminal device may include, but is not limited to, a processor 400, a memory 410. It will be appreciated by those skilled in the art that fig. 4 is merely an example of the terminal device 40 and is not limiting of the terminal device 40, and may include more or fewer components than shown, or may combine certain components, or different components, e.g., the terminal device may also include input-output devices, network access devices, buses, etc.
The processor 400 may be a central processing unit (Central Processing Unit, CPU), other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), off-the-shelf programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 410 may be an internal storage unit of the terminal device 40, such as a hard disk or a memory of the terminal device 40. The memory 410 may also be an external storage device of the terminal device 40, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) or the like, which are provided on the terminal device 40. Further, the memory 410 may also include both an internal storage unit and an external storage device of the terminal device 40. The memory 410 is used for storing the computer program and other programs and data required by the terminal device. The memory 410 may also be used to temporarily store data that has been output or is to be output.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional units and modules is illustrated, and in practical application, the above-described functional distribution may be performed by different functional units and modules according to needs, i.e. the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-described functions. The functional units and modules in the embodiment may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit, where the integrated units may be implemented in a form of hardware or a form of a software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working process of the units and modules in the above system may refer to the corresponding process in the foregoing method embodiment, which is not described herein again.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and in part, not described or illustrated in any particular embodiment, reference is made to the related descriptions of other embodiments.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus/terminal device and method may be implemented in other manners. For example, the apparatus/terminal device embodiments described above are merely illustrative, e.g., the division of the modules or units is merely a logical function division, and there may be additional divisions in actual implementation, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection via interfaces, devices or units, which may be in electrical, mechanical or other forms.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated modules/units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the present invention may implement all or part of the flow of the method of the above embodiment, or may be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, and when the computer program is executed by a processor, the computer program may implement the steps of each of the method embodiments described above. . Wherein the computer program comprises computer program code which may be in source code form, object code form, executable file or some intermediate form etc. The computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth. It should be noted that the computer readable medium contains content that can be appropriately scaled according to the requirements of jurisdictions in which such content is subject to legislation and patent practice, such as in certain jurisdictions in which such content is subject to legislation and patent practice, the computer readable medium does not include electrical carrier signals and telecommunication signals.
The above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention, and are intended to be included in the scope of the present invention.
Claims (4)
1. A time-of-use electricity price making method of a source network charge storage system is characterized by comprising the following steps:
acquiring energy consumption data of a load side user in a target source network load storage system, and establishing an energy consumption model of the load side user according to the energy consumption data;
acquiring power generation data of a source side distributed power supply in a target source network charge storage system, and establishing a power generation model of the source side distributed power supply according to the power generation data;
establishing an interactive time-of-use electricity price establishment model of the target source network charge storage system based on the energy consumption model and the power generation model;
solving the interactive time-of-use electricity price setting model based on a multi-objective algorithm to obtain a time-of-use electricity price scheme of the objective source network charge storage system;
wherein the energy consumption model comprises an uncontrollable load model, a transferable load model and an interruptible load model;
the expression of the uncontrollable load model is as follows:
wherein,for the minimum power consumption of the device, < > for>For maximum power consumption of the device, +.>For the initial run time of the device, +.>P for ending runtime of device t U Power consumption for the period t;
the expression of the transferable load model is as follows:
wherein,minimum power consumption to complete a task for a transferable load device;
the expression of the interruptible load model is as follows:
wherein P is t I To interrupt the power consumption of the load device in the t period,minimum comfort requirement to be met for an interruptible load device, < >>Actual comfort value for the device for the resident user during period t; the power generation model comprises a photovoltaic output model;
the photovoltaic output model comprises:
wherein,for the distributed photovoltaic output of the period t, n PV For the area-separated photovoltaic quantity, +.>Is the rated output of distributed photovoltaic under standard conditions, L t For the illumination radiation intensity of T period, T t At a temperature of t period, L S Is the illumination radiation intensity under standard conditions, T S Temperature under standard conditions, η PV Is the temperature coefficient of the output;
the establishing an interactive time-of-use electricity price establishment model of the target source network charge storage system based on the energy consumption model and the power generation model comprises the following steps:
establishing a grid-connected point load model and an electricity price model of a platform region of the target source network charge storage system based on the energy consumption model and the power generation model;
establishing an objective function of the objective source network load storage system based on the platform grid-connected point load model and the electricity price model;
the expression of the platform region grid-connected point load model is as follows:
wherein,exchanging power inside and outside the station area for t period, < >>For the power load of user k in time t, < >>Outsourcing power for a t period of station, +.>The method comprises the steps of (1) surfing the net for a distributed photovoltaic of a period t;
the expression of the electricity price model is as follows:
wherein,for the electricity price of user k in time t period, +.>Time-sharing electricity prices at peak, flat and valley periods respectively;
the optimization target of the objective function is that the yield of the objective source network charge storage system is maximum and the photovoltaic in-situ absorption of the objective source network charge storage system is maximum;
the expression of the objective function is:
wherein W is S Selling electricity income for users in the area, W C For the income of the user capacity of the station area, W G For distributed photovoltaic Internet income, C P For outsourcing electric quantity and electric charge, C C C is the electric charge of capacity se To store energy for the purpose of running a net gain,for the capacity revenue of user k, p G Is divided intoCloth-type photovoltaic internet electricity price +.>Selling electricity price for t-period external power grid, p C For the price of electricity capacity, < >>For the energy storage charging and discharging power, sigma of the jth energy storage unit in the station area in the period t se The energy storage operation benefit coefficient;
the method for solving the interactive time-of-use electricity price formulation model based on the multi-objective algorithm to obtain a time-of-use electricity price scheme of the objective source network charge storage system comprises the following steps:
solving the interactive time-of-use electricity price setting model under a preset constraint condition to obtain a time-of-use electricity price scheme of the target source network charge storage system;
the preset constraint conditions comprise non-negative constraint, electricity price decremental constraint and internal and external exchange power constraint;
the expression of the non-negative constraint is:
the expression of the electricity price decremental constraint is as follows:
the expression of the internal and external exchange power constraint is as follows:
wherein E is T The capacity of the grid-connected point transformer is obtained.
2. The utility model provides a source net lotus stores up timesharing price of electricity setting device of system which characterized in that includes:
the energy consumption model building module is used for obtaining energy consumption data of a load side user in the target source network load storage system and building an energy consumption model of the load side user according to the energy consumption data;
the power generation model building module is used for obtaining power generation data of a source side distributed power supply in the target source network charge storage system and building a power generation model of the source side distributed power supply according to the power generation data;
the interactive time-of-use electricity price making module is used for establishing an interactive time-of-use electricity price making model of the target source network charge storage system based on the energy consumption model and the power generation model;
the time-of-use electricity price solution module is used for solving the interactive time-of-use electricity price formulation model based on a multi-objective algorithm to obtain a time-of-use electricity price solution of the objective source network charge storage system;
wherein the energy consumption model comprises an uncontrollable load model, a transferable load model and an interruptible load model;
the expression of the uncontrollable load model is as follows:
wherein,for the minimum power consumption of the device, < > for>For maximum power consumption of the device, +.>Is a deviceStart-up time->P for ending runtime of device t U Power consumption for the period t;
the expression of the transferable load model is as follows:
wherein,minimum power consumption to complete a task for a transferable load device;
the expression of the interruptible load model is as follows:
wherein P is t I To interrupt the power consumption of the load device in the t period,minimum comfort requirement to be met for an interruptible load device, < >>Actual comfort value for the device for the resident user during period t;
the power generation model comprises a photovoltaic output model;
the photovoltaic output model comprises:
wherein,for the distributed photovoltaic output of the period t, n PV For the area-separated photovoltaic quantity, +.>Is the rated output of distributed photovoltaic under standard conditions, L t For the illumination radiation intensity of T period, T t At a temperature of t period, L S Is the illumination radiation intensity under standard conditions, T S Temperature under standard conditions, η PV Is the temperature coefficient of the output;
the establishing an interactive time-of-use electricity price establishment model of the target source network charge storage system based on the energy consumption model and the power generation model comprises the following steps:
establishing a grid-connected point load model and an electricity price model of a platform region of the target source network charge storage system based on the energy consumption model and the power generation model;
establishing an objective function of the objective source network load storage system based on the platform grid-connected point load model and the electricity price model;
the expression of the platform region grid-connected point load model is as follows:
wherein,exchanging power inside and outside the station area for t period, < >>For the power load of user k in time t, < >>Outsourcing power for a t period of station, +.>The method comprises the steps of (1) surfing the net for a distributed photovoltaic of a period t;
the expression of the electricity price model is as follows:
wherein,for the electricity price of user k in time t period, +.>Time-sharing electricity prices at peak, flat and valley periods respectively;
the optimization target of the objective function is that the yield of the objective source network charge storage system is maximum and the photovoltaic in-situ absorption of the objective source network charge storage system is maximum;
the expression of the objective function is:
wherein W is S Selling electricity income for users in the area, W C For the income of the user capacity of the station area, W G For distributed photovoltaic Internet income, C P For outsourcing electric quantity and electric charge, C C C is the electric charge of capacity se To store energy for the purpose of running a net gain,for the capacity revenue of user k, p G For distributed photovoltaic internet electricity price, < >>Selling electricity price for t-period external power grid, p C For the price of electricity capacity, < >>For the energy storage charging and discharging power, sigma of the jth energy storage unit in the station area in the period t se The energy storage operation benefit coefficient;
the method for solving the interactive time-of-use electricity price formulation model based on the multi-objective algorithm to obtain a time-of-use electricity price scheme of the objective source network charge storage system comprises the following steps:
solving the interactive time-of-use electricity price setting model under a preset constraint condition to obtain a time-of-use electricity price scheme of the target source network charge storage system;
the preset constraint conditions comprise non-negative constraint, electricity price decremental constraint and internal and external exchange power constraint;
the expression of the non-negative constraint is:
the expression of the electricity price decremental constraint is as follows:
the expression of the internal and external exchange power constraint is as follows:
wherein E is T The capacity of the grid-connected point transformer is obtained.
3. A terminal device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the method according to claim 1 when executing the computer program.
4. A computer readable storage medium storing a computer program, which when executed by a processor performs the steps of the method according to claim 1.
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