Distributed photovoltaic power generation coordination demand response pricing method and device and storage medium

Abstract

The invention relates to a distributed photovoltaic power generation coordination demand response pricing method and device and a storage medium. The method comprises the following steps: acquiring power demand data; calculating power demand parameters according to the power demand data; acquiring an expected power price; calculating electricity purchase cost according to the expected electricity price and the electricity demand parameters; and according to the electricity purchase cost, calculating a planned electricity price. According to the distributed photovoltaic power generation coordination demand response pricing method and device and the storage medium provided by the invention, the user loss can be reduced, and the power economy can be improved.

Description

Technical Field

[0001] The present application relates to the field of Internet of Vehicles, and in particular to a distributed photovoltaic power generation coordinated demand response pricing method, device and storage medium. Background Art

[0002] As climate change and environmental pollution have a greater impact on human society, the energy and power systems of major countries in the world are transforming towards cleaner and lower-carbon directions. The structural transformation of the power system characterized by a high proportion of renewable energy will reshape the global power market.

[0003] In recent years, renewable energy has been connected to the power grid on a large scale. There are many participants in the distributed energy market, and the uncertainty and randomness are strong. The traditional electricity market mechanism is difficult to adapt to the grid-connected operation and trading of large-scale distributed new energy. Power market crises have occurred frequently, and the fluctuation and rise in electricity prices have a great impact on power market participants.

[0004] In a mature electricity market environment, demand-side response can participate in the electricity energy market (affecting electricity prices), the capacity market (providing low-cost capacity resources in emergency situations), and the ancillary service market (providing frequency regulation, backup, interruptible loads, etc.). By considering the demand-side response of the distribution network, formulating an economically optimal pricing strategy that meets the requirements of distributed photovoltaic grid connection and demand elasticity will help promote the balance of electricity supply and demand and grid security, which is a topic that urgently needs to be studied. Summary of the invention

[0005] In order to solve the above technical problems or at least partially solve the above technical problems, the present application provides a distributed photovoltaic power generation coordinated demand response pricing method, device and storage medium.

[0006] In a first aspect, the present application provides a distributed photovoltaic power generation coordinated demand response pricing method, the method comprising the steps of:

[0007] Obtaining electricity demand data;

[0008] Calculating power demand parameters according to the power demand data;

[0009] Get expected electricity prices;

[0010] Calculating the electricity purchase cost based on the expected electricity price and the electricity demand parameter;

[0011] The proposed electricity price is calculated based on the electricity purchase cost.

[0012] Preferably, the obtaining of power demand data comprises the steps of:

[0013] Obtaining power incentive demand data;

[0014] Get electricity price demand data.

[0015] Preferably, the step of calculating the power demand parameter according to the power demand data comprises the following steps:

[0016] Obtain the calculation formula for electricity demand elasticity;

[0017] Calculate the expected electricity price based on the electricity demand data and the electricity demand elasticity calculation formula;

[0018] Calculate elastic power demand according to the power demand data and the power demand elasticity calculation formula;

[0019] The power demand change is calculated according to the power demand data and the power demand elasticity calculation formula.

[0020] Preferably, the power demand elasticity calculation formula is expressed as:

[0021]

[0022] Among them, ε represents the elasticity value of electricity demand, P represents the electricity price, D represents the electricity demand, dD represents the change in electricity demand, and dP represents the change in electricity price.

[0023] Preferably, the expression of the expected electricity price is:

[0024]

[0025] Among them, P0 represents the expected electricity price, D Di,t represents the power demand of node i at time t, P Di,t represents the electricity price of node i at time t.

[0026] Preferably, the step of calculating the electricity purchase cost according to the expected electricity price and the electricity demand parameter comprises the following steps:

[0027] Obtain time-of-use electricity prices and photovoltaic system output power;

[0028] Obtain user demand and total system loss;

[0029] The electricity purchase cost is calculated according to the time-of-use electricity price, the photovoltaic system output power, the user demand and the total system loss.

[0030] Preferably, the calculation of the electricity purchase cost according to the time-of-use electricity price, the photovoltaic system output power, the user demand and the total system loss comprises the following steps:

[0031] Calculate critical peak electricity prices;

[0032] Calculate peak electricity prices;

[0033] Calculate off-peak electricity prices;

[0034] Calculate the electricity price of your photovoltaic system.

[0035] In a second aspect, the present application provides a distributed photovoltaic power generation coordinated demand response pricing device, comprising:

[0036] A data acquisition module, used for acquiring power demand data;

[0037] A parameter calculation module, used for calculating power demand parameters according to the power demand data;

[0038] A price acquisition module, used to obtain expected electricity prices;

[0039] A cost calculation module, used for calculating the electricity purchase cost according to the expected electricity price and the electricity demand parameter;

[0040] The electricity price calculation module is used to calculate the proposed electricity price according to the electricity purchase cost.

[0041] In a third aspect, an air conditioner control device is provided, comprising a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other via the communication bus;

[0042] Memory, used to store computer programs;

[0043] The processor is used to implement the steps of the distributed photovoltaic power generation coordinated demand response pricing method described in any one of the embodiments of the first aspect when executing the program stored in the memory.

[0044] In a fourth aspect, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the distributed photovoltaic power generation coordinated demand response pricing method as described in any embodiment of the first aspect are implemented.

[0045] The above technical solution provided by the embodiment of the present application has the following advantages compared with the prior art:

[0046] A distributed photovoltaic power generation coordinated demand response pricing method, device and storage medium provided in this application can reduce user losses and improve electricity economy. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0048] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0049] Figure 1 It is a flow chart of a distributed photovoltaic power generation coordinated demand response pricing method provided by an embodiment of the present invention;

[0050] Figure 2 It is a structural schematic diagram of a distributed photovoltaic power generation coordinated demand response pricing device provided by an embodiment of the present invention;

[0051] Figure 3 It is a structural schematic diagram of an electronic device provided by the present invention;

[0052] Figure 4 It is a structural schematic diagram of a non-transitory computer-readable storage medium provided by the present invention. DETAILED DESCRIPTION

[0053] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0054] Figure 1 A flow chart of a distributed photovoltaic power generation coordinated demand response pricing method provided in an embodiment of the present application.

[0055] The present application provides a distributed photovoltaic power generation coordinated demand response pricing method, the method comprising the steps of:

[0056] S1: Obtain power demand data;

[0057] In an embodiment of the present application, the obtaining of power demand data comprises the steps of:

[0058] Obtaining power incentive demand data;

[0059] Get electricity price demand data.

[0060] Specifically, the steps of obtaining power incentive demand data are as follows: In an incentive-based plan, the power company provides direct incentive payments to participants, such as direct load control (DLC), in which the power company remotely controls appliances or equipment from a central location. The incentives are then issued to participants. For interruptible / curtailable loads (I / C), participants can receive discounts on electricity bills in exchange for shutting down some interruptible / curtailable loads. For the Emergency Demand Response Program (EDRP), the incentive payment depends on the load reduction in an emergency. The steps of obtaining power price demand data are as follows: Price-based plans influence customer behavior through different electricity price policies (such as Time of Use (TOU), Critical Peak Pricing (CPP) and Real-Time Pricing (RTP)); Price-based plans are proposed in the form of electricity prices, and if participants reduce consumption during a specific period, they will benefit. Conversely, if customers fail to reduce their electricity usage during this time, they will pay higher electricity bills; incentive-based programs are direct, influencing customer behavior by providing incentives to reduce demand during peak periods and charging penalties to customers who fail to meet the targets.

[0061] S2: Calculating power demand parameters according to the power demand data;

[0062] In an embodiment of the present application, the step of calculating the power demand parameter according to the power demand data includes the following steps:

[0063] Obtain the calculation formula for electricity demand elasticity;

[0064] Calculate the expected electricity price based on the electricity demand data and the electricity demand elasticity calculation formula;

[0065] Calculate elastic power demand according to the power demand data and the power demand elasticity calculation formula;

[0066] The power demand change is calculated according to the power demand data and the power demand elasticity calculation formula.

[0067] Specifically, according to the demand price elasticity method, the process of deriving the expected electricity price, elastic electricity demand, and changes in electricity demand from the electricity demand elasticity calculation formula includes the following steps: the purpose of increasing electricity prices during key peak periods is to encourage customers to reduce consumption at these times. Reductions in electricity prices during off-peak hours may lead to changes in customer behavior, shifting their electricity consumption from key peak hours to cheaper hours. Changes in consumption patterns can be predicted by using the demand price elasticity method.

[0068] In the embodiment of the present application, the power demand elasticity calculation formula is expressed as:

[0069]

[0070] Among them, ε represents the elasticity value of electricity demand, P represents the electricity price, D represents the electricity demand, dD represents the change in electricity demand, and dP represents the change in electricity price.

[0071] S3: Obtain expected electricity price;

[0072] In the embodiment of the present application, the expression of the expected electricity price is:

[0073]

[0074] Among them, P0 represents the expected electricity price, D Di,t represents the power demand of node i at time t, P Di,t represents the electricity price of node i at time t.

[0075] S4: Calculating the electricity purchase cost according to the expected electricity price and the electricity demand parameter;

[0076] In an embodiment of the present application, the calculation of the electricity purchase cost according to the expected electricity price and the electricity demand parameter comprises the following steps:

[0077] Obtain time-of-use electricity prices and photovoltaic system output power;

[0078] Obtain user demand and total system loss;

[0079] The electricity purchase cost is calculated according to the time-of-use electricity price, the photovoltaic system output power, the user demand and the total system loss.

[0080] Specifically, the user's response depends on the difference between the expected electricity price and the actual electricity price. Therefore, the electricity demand elasticity value and the expected electricity price are important data for determining demand changes; Equation (2) represents the demand at hour i, and equation (3) represents the demand at other hours. The sum of each component is:

[0081] D i =D 0i +D i(Self) +D i(Cross) 1)

[0082]

[0083]

[0084] As shown in (1), D 0iRepresents the initial demand. The change in demand can be divided into two parts; self-elasticity D i(Self) represents the change in demand in hour i as shown in (2), and the cross elasticity D i(Cross) represents the load change between hour i and hour j as shown in Figure (3); by combining the above three equations, the change in demand can be written as:

[0085]

[0086] Where D i is the demand affected by the price change in hour i, D 0i is the original demand for hour i, ε ij is the price elasticity of demand per hour, ΔP j is the price deviation from the expected price at hour j.

[0087] In an embodiment of the present application, the calculation of the electricity purchase cost according to the time-of-use electricity price, the output power of the photovoltaic system, the user demand and the total system loss includes the following steps:

[0088] Calculate critical peak electricity prices;

[0089] Calculate peak electricity prices;

[0090] Calculate off-peak electricity prices;

[0091] Calculate the electricity price of your photovoltaic system.

[0092] Specifically, by dividing the electricity price into four parts, namely, critical peak, peak, non-peak and photovoltaic system, the calculation method of electricity purchase cost is formed respectively, and solving the cost function to determine the appropriate tariff rate includes the following steps:

[0093] The electricity price is calculated based on the time-of-use electricity price and takes into account the output power of the photovoltaic system. At the same time, the electricity purchase cost is related to its profit margin. In (21), the calculation of the electricity purchase cost is based on user demand, total system loss and photovoltaic system output power:

[0094] C buy =Σ(D ind,i +D res,i +P loss,i -P PV,i )×r i (5)

[0095] Among them, C buy is the electricity purchase cost, D ind,i is the industrial user demand for i hours, D res,i is the residential user demand in hour i, P PV,i Represents photovoltaic power, P loss,i represents the total system loss, r i is the electricity purchase rate in hour i.

[0096] The electricity price can be divided into four parts, including: critical peak, peak, off-peak and photovoltaic system. The electricity cost in each period can be determined using the following equation:

[0097] C DR =C Peak +C PV +C Off-peak (6)

[0098]

[0099]

[0100]

[0101] Among them, formula (6) represents the total cost, formula (7) represents the peak period, formula (8) represents the off-peak period, and formula (9) represents the period of high power output from the photovoltaic system.

[0102] C DR is the electricity charge for industrial users based on the proposed electricity price, C Peak is the electricity price during peak hours, C PV is the electricity charge from 09:00 am to 01:00 pm, C Off-peak is the off-peak electricity price, r Peak,i is the peak hour electricity price, r Off-peak,i is the off-peak electricity price, A is the electricity price discount used to determine the solar cycle electricity price;

[0103] When considering the output of photovoltaic solar power generation, the cost of electricity for industrial users is related to their overall demand:

[0104] C buy ≤(C DR +C res )≤(C old +C res ) (10)

[0105] 0≤A (11)

[0106] Among them C old is the electricity cost of industrial users under time-of-use electricity prices; Formula (10) represents the electricity cost of industrial users (C DR ) is finite, and in order for customers to reduce consumption during critical peak periods, the electricity price during the PV system period must be lower; therefore, the tariff rate (A) must be greater than zero, as shown in (11); the tariff calculation is completed by solving the cost function in (6)-(9) to determine the appropriate tariff rate based on the conditions in (10) and (11).

[0107] S5: Calculate a proposed electricity price based on the electricity purchase cost.

[0108] Specifically, the process of formulating a demand charging rate method based on the load curve power comparison of the basic situation of user use and forming an electricity price formulation strategy with the best benefits of photovoltaic power generation includes:

[0109] Since each price-based demand response program, including the proposed tariff, will have a demand charge determined by a power comparison using the base case load curve, the appropriate demand charge rate is

[0110] C old +C demand,TOU <C DR +C demand,DR (12)

[0111] Among them, C demand,TOU is the demand cost under the time-of-use electricity price, C demand,DR It is the required cost under the proposed electricity price.

[0112] Specifically, the main purpose of the proposed electricity price is to prevent customers from increasing their consumption during key peak periods, and the proposed demand charge rate should be limited to avoid user dissatisfaction, otherwise, users will participate in the proposed electricity price; for the proposed electricity price, if users cannot shift their consumption from key peak periods to the period between 09:00 am and 01:00 pm, the demand charge cost may be high, which will harm their interests.

[0113] like Figure 2 , the present application provides a distributed photovoltaic power generation coordinated demand response pricing device, comprising:

[0114] A data acquisition module 10 is used to acquire power demand data;

[0115] A parameter calculation module 20, used to calculate power demand parameters according to the power demand data;

[0116] A price acquisition module 30, used to acquire expected electricity prices;

[0117] A cost calculation module 40, configured to calculate the electricity purchase cost according to the expected electricity price and the electricity demand parameter;

[0118] The electricity price calculation module 50 is used to calculate the proposed electricity price according to the electricity purchase cost.

[0119] A distributed photovoltaic power generation coordinated demand response pricing device provided in the present application can execute a distributed photovoltaic power generation coordinated demand response pricing method provided in the above steps.

[0120] It should be understood that the above specific embodiments of the present invention are only used to illustrate or explain the principles of the present invention, and do not constitute a limitation of the present invention. Therefore, any modifications, equivalent substitutions, improvements, etc. made without departing from the spirit and scope of the present invention should be included in the protection scope of the present invention. In addition, the appended claims of the present invention are intended to cover all changes and modifications that fall within the scope and boundaries of the appended claims, or the equivalent forms of such scope and boundaries.

[0121] Reference below Figure 3 , which shows a schematic diagram of the structure of an electronic device 100 suitable for implementing the embodiment of the present disclosure. The electronic device in the embodiment of the present disclosure may include, but is not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle terminals (such as vehicle navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 3 The electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present disclosure.

[0122] like Figure 3 As shown, the electronic device 100 may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 101, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 102 or a program loaded from a storage device 108 to a random access memory (RAM) 103. In the RAM 103, various programs and data required for the operation of the electronic device 100 are also stored. The processing device 101, the ROM 102, and the RAM 103 are connected to each other via a bus 104. An input / output (I / O) interface 105 is also connected to the bus 104.

[0123] Typically, the following devices may be connected to the I / O interface 105: an input device 106 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; an output device 107 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; a storage device 108 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 109. The communication device 109 may allow the electronic device 100 to communicate with other devices wirelessly or by wire to exchange data. Although the electronic device 100 having various devices is shown in the figure, it should be understood that it is not required to implement or have all the devices shown. More or fewer devices may be implemented or have alternatively.

[0124] In particular, according to an embodiment of the present disclosure, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present disclosure includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program contains program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from the network through the communication device 109, or installed from the storage device 108, or installed from the ROM 102. When the computer program is executed by the processing device 101, the above-mentioned functions defined in the method of the embodiment of the present disclosure are executed.

[0125] Reference below Figure 4 , which shows a structural schematic diagram of a computer-readable storage medium suitable for implementing an embodiment of the present disclosure, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, it can implement a distributed photovoltaic power generation coordinated demand response pricing method as described in any of the above.

[0126] A distributed photovoltaic power generation coordinated demand response pricing method, device and storage medium provided in this application can reduce user losses and improve electricity economy.

[0127] It should be noted that, in this article, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0128] The foregoing is merely a specific embodiment of the present invention, which enables those skilled in the art to understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features claimed herein.

Claims

1. A distributed photovoltaic power generation coordinated demand response pricing method, characterized in that: The method comprises the steps of: Obtaining electricity demand data; Calculating power demand parameters according to the power demand data; Get expected electricity prices; Calculating the electricity purchase cost based on the expected electricity price and the electricity demand parameter; The proposed electricity price is calculated based on the electricity purchase cost.

2. The distributed photovoltaic power generation coordinated demand response pricing method according to claim 1 is characterized in that: The obtaining of power demand data comprises the steps of: Obtaining power incentive demand data; Get electricity price demand data.

3. The distributed photovoltaic power generation coordinated demand response pricing method according to claim 1 is characterized in that: The calculating of the power demand parameter according to the power demand data comprises the steps of: Obtain the calculation formula for electricity demand elasticity; Calculate the expected electricity price based on the electricity demand data and the electricity demand elasticity calculation formula; Calculate elastic power demand according to the power demand data and the power demand elasticity calculation formula; The power demand change is calculated according to the power demand data and the power demand elasticity calculation formula.

4. The distributed photovoltaic power generation coordinated demand response pricing method according to claim 3 is characterized in that: The power demand elasticity calculation formula is expressed as: Among them, ε represents the elasticity value of electricity demand, P represents the electricity price, D represents the electricity demand, dD represents the change in electricity demand, and dP represents the change in electricity price.

5. The distributed photovoltaic power generation coordinated demand response pricing method according to claim 1, characterized in that: The expression of the expected electricity price is: Among them, P0 represents the expected electricity price, D Di,t represents the power demand of node i at time t, P Di,t represents the electricity price of node i at time t.

6. The distributed photovoltaic power generation coordinated demand response pricing method according to claim 1, characterized in that: The calculation of the electricity purchase cost according to the expected electricity price and the electricity demand parameter comprises the following steps: Obtain time-of-use electricity prices and photovoltaic system output power; Obtain user demand and total system loss; The electricity purchase cost is calculated according to the time-of-use electricity price, the photovoltaic system output power, the user demand and the total system loss.

7. The distributed photovoltaic power generation coordinated demand response pricing method according to claim 6, characterized in that: The calculation of the electricity purchase cost according to the time-of-use electricity price, the photovoltaic system output power, the user demand and the total system loss comprises the following steps: Calculate critical peak electricity prices; Calculate peak electricity prices; Calculate off-peak electricity prices; Calculate the electricity price of your photovoltaic system.

8. A distributed photovoltaic power generation coordinated demand response pricing device, characterized in that: include: A data acquisition module, used for acquiring power demand data; A parameter calculation module, used for calculating power demand parameters according to the power demand data; A price acquisition module, used to obtain expected electricity prices; A cost calculation module, used for calculating the electricity purchase cost according to the expected electricity price and the electricity demand parameter; The electricity price calculation module is used to calculate the proposed electricity price according to the electricity purchase cost.

9. An electronic device, characterized in that: It includes a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other through the communication bus; Memory, used to store computer programs; A processor is used to implement the steps of the distributed photovoltaic power generation coordinated demand response pricing method as described in any one of claims 1-7 when executing the program stored in the memory.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the distributed photovoltaic power generation coordinated demand response pricing method as described in any one of claims 1 to 7 are implemented.

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