Evaluation method and system for the flexibility adjustment capability of power generation and consumption resources of self-owned power plants

Abstract

This invention provides a method and system for evaluating the flexibility of power generation and consumption in self-owned power plants. The method includes determining data corresponding to various behavioral characteristics of a company's power generation and consumption based on power generation and consumption data from the self-owned power plant, grid purchase data, and pre-constructed behavioral characteristic indicators of the self-owned power plant; and determining the flexibility of the self-owned power plant based on the company's power generation and consumption behavior data, pre-set flexibility evaluation indicators, and a pre-constructed company electricity cost model. This invention guides self-owned power plants to participate in regulating the real-time power balance of the grid, achieving comprehensive energy utilization and improving operational efficiency.

Description

Technical Field

[0001] This invention relates to the field of quantitative assessment, and more particularly to a method and system for assessing the flexibility of power generation and consumption resources of a self-owned power plant. Background Technology

[0002] A self-owned power plant is a power plant built by an enterprise to meet its own electricity needs. Self-owned power plants generate electricity according to the principle of meeting the production needs of their own unit; when their own consumption is insufficient, they purchase some electricity from the grid. In contrast, a public power plant is a power plant that provides electricity to the public.

[0003] To better manage and supervise self-owned power plants, relevant national guidelines point out the need to correctly guide and regulate their development, promote joint management of various types of power plants, and popularize ancillary services provided by self-owned power plants. However, existing problems with self-owned power plants urgently need to be addressed, making the regulation of these plants and their fair market participation a major concern. Faced with the current demands for self-owned power plant management and market participation, existing management models are no longer adequate to address the new situation, necessitating an upgrade in monitoring and management technologies. Simultaneously, self-owned power plants possess significant application potential in renewable energy consumption and demand response peak shaving. Due to their large installed capacity, self-owned power plants, as a flexible resource in the power system, can effectively promote the comprehensive utilization of social resources. Therefore, it is crucial to explore the application potential of self-owned power plants in assisting renewable energy consumption and participating in peak shaving under the new circumstances, and to propose practical and feasible flexible interactive evaluation methods. Summary of the Invention

[0004] To address the aforementioned shortcomings in the existing technology, this invention provides a method and system for evaluating the flexibility of power generation and consumption resources in self-owned power plants.

[0005] The technical solution provided by this invention is:

[0006] A method for assessing the flexibility of power generation and consumption regulation capabilities of a self-owned power plant, the method comprising:

[0007] Based on the power generation and consumption data of self-owned power plants, the power purchase data of the power grid, and the pre-constructed power generation and consumption behavior characteristic indicators of self-owned power plants, the data corresponding to each behavior characteristic of the enterprise's power generation and consumption are determined;

[0008] The flexibility adjustment capability of the self-owned power plant is determined based on the data corresponding to the characteristics of the enterprise's power generation and consumption behavior, as well as the pre-set flexibility assessment indicators and the pre-built enterprise electricity cost model.

[0009] The flexibility adjustment capability includes adjustable capacity adjustment rate, unit adjustment cost, and adjustable power consumption corresponding to multiple time steps determined by different needs.

[0010] Preferably, the characteristic indicators of the power generation and consumption behavior of the self-owned power plant include:

[0011] Daily load factor, daily peak-valley difference rate, overall efficiency, carbon emissions, daily electricity purchased from the grid, and daily renewable energy consumption.

[0012] Preferably, the daily load factor is calculated using the following formula:

[0013]

[0014] In the formula, K1 represents the daily load factor of the company's self-owned power plant; P t Load at various times; P tmax The maximum daily load; T: represents the number of load data sets;

[0015] The daily peak-valley difference rate is calculated using the following formula:

[0016]

[0017] In the formula, K2 represents the daily peak-valley difference rate of the company's self-owned power plant; P tmin Minimum daily load;

[0018] The overall efficiency is calculated using the following formula:

[0019]

[0020] In the formula, η total Overall efficiency; η Gt The power generation efficiency of the self-owned power plant; η dt P represents the power generation efficiency of the power grid. Gt Unit output; P dt Real-time power output of the power grid; P t Load at various times;

[0021] The carbon emissions are calculated using the following formula:

[0022]

[0023] In the formula, k Gt k is the power emission factor for self-generated power. dt The power emission factor for supplying power to the grid, where Δt is the interval time.

[0024] Preferably, the daily purchased electricity from the grid is calculated using the following formula:

[0025]

[0026] In the formula, Q Buy Daily electricity purchased from the grid; Δt is the interval time;

[0027] The daily renewable energy consumption is calculated using the following formula:

[0028]

[0029] In the formula, Q renew Daily renewable energy consumption; The percentage of energy output from new energy sources at time t.

[0030] Preferably, the setting of the indicators includes:

[0031] To address the different needs of frequency regulation, peak shaving, and renewable energy consumption, flexibility assessment indicators based on multiple time steps were determined.

[0032] The flexibility evaluation metrics based on multiple time steps include: minute-level flexibility evaluation metrics and hour-level flexibility evaluation metrics.

[0033] The minute-level flexible evaluation metrics include: unit adjustment rate and unit adjustment cost of equivalent load;

[0034] The hourly flexible assessment metrics include: the adjustable power output of the equivalent load of the self-owned power plant.

[0035] Preferably, the unit adjustment rate of the equivalent load is calculated using the following formula:

[0036]

[0037] In the formula, ΔT represents the unit output at each time point before load transfer, and ΔT is the scheduling time scale; The unit adjustment rate of the equivalent load; R user Load transfer volume in minutes; R t : External load obtained from the power generation and consumption systems of enterprises belonging to the self-owned power plant; P Gt Unit output;

[0038] The unit adjustment cost is calculated using the following formula:

[0039]

[0040] In the formula, Unit adjustment cost; C U : Enterprise electricity costs; P t Load at each time point.

[0041] Preferably, the adjustable power is calculated using the following formula:

[0042]

[0043] In the formula, Adjustable power; Q user Δt represents the hourly load transfer amount; Δt represents the interval time.

[0044] Preferably, the construction of the enterprise electricity cost model includes:

[0045] Considering energy efficiency and environmental protection, an objective function is constructed with the goal of minimizing enterprise costs.

[0046] Multiple constraints are constructed for the objective function, and the minimum enterprise electricity cost is obtained by solving the enterprise electricity cost model.

[0047] The constraints include: unit output constraints, energy efficiency level constraints, load transfer cost constraints, real-time power balance constraints, and enterprise unit adjustment cost constraints.

[0048] Preferably, the objective function is calculated using the following formula:

[0049] C U =C G (E Gt )+C B (P dt )+C C (P Gt ,P dt )+C L (P t )-C S (P Gt ,P t )

[0050] In the formula, C U Minimum electricity cost for businesses; C G (P Gt ): The unit's power generation cost during time period T1; C B (P dt ): Cost of electricity purchased from the power grid; C S (P Gt ,P t ): Power grid subsidy; C L (P t ): Discomfort is converted into cost; C C (P Gt ,P dt Carbon emission costs.

[0051] Preferably, the carbon emission cost C C (P Gt ,P dt Calculate using the following formula:

[0052]

[0053] In the formula, C C (P Gt ,P dt): Carbon emission cost; M is the emission allowance corresponding to this type of emission, c ct For carbon emissions market trading prices; k Gt The power emission factor for self-contained power supply; k dt The power emission factor for supplying power to the grid; Δt is the interval time; P Gt Unit output; P dt The power grid outputs power in real time.

[0054] Preferably, determining the flexibility adjustment capability of the self-owned power plant based on the enterprise's electricity generation and consumption behavior data, pre-set indicators, and a pre-built enterprise electricity cost model includes:

[0055] Under the premise that the overall efficiency meets the required efficiency, the minimum enterprise electricity cost is calculated by solving the enterprise electricity cost model based on the enterprise's electricity generation and consumption behavior data.

[0056] Based on the enterprise power generation and consumption behavior data corresponding to the minimum enterprise electricity cost, calculate the adjustable capacity adjustment rate, unit adjustment cost, and adjustable power volume of the self-owned power plant.

[0057] An evaluation system for the flexibility of power generation and consumption resources of a self-owned power plant, the system comprising:

[0058] The behavioral data determination module determines the enterprise's electricity generation and consumption behavior data based on the power generation and consumption data of the self-owned power plant, the power purchase data of the power grid, and the pre-built behavioral characteristic index model of the self-owned power plant.

[0059] The capacity determination module determines the flexibility adjustment capacity of the self-owned power plant based on the enterprise's power generation and consumption behavior data, as well as pre-set indicators and a pre-built enterprise electricity cost model.

[0060] The flexibility adjustment capability includes adjustable capacity adjustment rate, unit adjustment cost, and adjustable power consumption corresponding to multiple time steps determined by different needs.

[0061] Preferably, the capability determination module includes: an indicator setting submodule, a model building submodule, and an adjustment submodule;

[0062] The indicator setting submodule is used to propose different flexibility evaluation indicators from the perspectives of minutes and hours to meet the different needs of frequency regulation, peak shaving and new energy consumption.

[0063] The model building submodule is used to build an enterprise electricity cost model.

[0064] The calculation submodule calculates the flexibility adjustment capability of the self-owned power plant based on the enterprise electricity consumption behavior data corresponding to the minimum enterprise electricity cost calculated by the enterprise electricity cost model.

[0065] Compared with the prior art, the present invention has the following advantages:

[0066] 1. This invention provides a method for determining the flexibility adjustment amount of power generation and consumption resources of a self-owned power plant, comprising determining enterprise power generation and consumption behavior data based on the power generation and consumption data of the self-owned power plant, power grid purchase data, and a pre-constructed characteristic index model of the power generation and consumption behavior of the self-owned power plant; and determining the flexibility adjustment capability of the self-owned power plant based on the enterprise power generation and consumption behavior data, pre-set indicators, and a pre-constructed enterprise electricity cost model. This invention guides self-owned power plants to participate in regulating the real-time power balance of the power grid, realizing comprehensive energy utilization and improving operational efficiency. Attached Figure Description

[0067] Figure 1 This is a flowchart of the quantitative evaluation method of the present invention;

[0068] Figure 2 This is a classification diagram of the quantitative evaluation indicators for flexibility adjustment in this invention;

[0069] Figure 3 This is a diagram of the output constraint model of the self-owned power plant unit of the present invention. Detailed Implementation

[0070] To better understand this invention, the following description, in conjunction with the accompanying drawings and examples, will further illustrate the invention.

[0071] This invention provides a quantitative assessment method for the flexibility adjustment of power generation and consumption resources in self-owned power plants, such as... Figure 1 As shown: The method includes:

[0072] Step 1: Determine the data corresponding to each behavioral characteristic of the enterprise's power generation and consumption based on the power generation and consumption data of the self-owned power plant, the power purchase data of the power grid, and the pre-constructed behavioral characteristic indicators of the self-owned power plant's power generation and consumption;

[0073] Step 2: Determine the flexibility adjustment capability of the self-owned power plant based on the data corresponding to the enterprise's power generation and consumption behavior characteristics, as well as the pre-set flexibility assessment indicators and the pre-built enterprise electricity cost model;

[0074] The flexibility adjustment capability includes adjustable capacity adjustment rate, unit adjustment cost, and adjustable power consumption corresponding to multiple time steps determined by different needs.

[0075] Step 1: Based on the power generation and consumption data of the self-owned power plant, the power purchase data of the power grid, and the pre-constructed power generation and consumption behavior characteristic indicators of the self-owned power plant, determine the data corresponding to each behavior characteristic of the enterprise's power generation and consumption, as follows:

[0076] The power generation and consumption data of the self-owned power plant and the power grid are collected through an online monitoring system.

[0077] The enterprise's power generation and consumption behavior data is determined based on the power generation and consumption data of the self-owned power plant, the power purchase data of the power grid, and the pre-constructed characteristic index model of the power generation and consumption behavior of the self-owned power plant.

[0078] The characteristic index model of electricity generation and consumption behavior of self-owned power plants is constructed from the perspectives of both enterprises and the power grid.

[0079] From the enterprise's perspective, the analysis mainly focuses on daily load factor, daily peak-valley difference rate, overall efficiency, and carbon emissions. From the power grid's perspective, the analysis mainly focuses on the amount of electricity purchased from the grid and the amount of renewable energy consumed.

[0080] 1-1. Select load data group T for a certain day. The load at each time point can be represented as P. t (t=1,2,…,T), the daily load factor K1 and daily peak-valley difference rate K2 of the enterprise's self-owned power plant are expressed as follows:

[0081]

[0082]

[0083] In the above formula, P tmax P tmin This represents the daily maximum and minimum load.

[0084] 1-2. Overall efficiency η of the enterprise's self-owned power plant power generation and consumption system total :

[0085]

[0086] In the above formula, η Gt For the power generation efficiency of a self-owned power plant, η dt P represents the power generation efficiency of the power grid. Gt To provide power to the generator unit, P dt It provides real-time power output to the power grid.

[0087] 1-3. Enterprise electricity consumption carbon emissions E carbon :

[0088]

[0089] In the above formula, k Gt k is the power emission factor for self-generated power. dt The power emission factor that supplies electricity to the power grid.

[0090] 1-4, Daily electricity purchased from the grid Q Buy :

[0091]

[0092] In the above formula, Δt is the interval time.

[0093] 1-5, Daily renewable energy consumption Q renew :

[0094]

[0095] In the above formula, The percentage of energy output from new energy sources at time t.

[0096] Based on the above, we can obtain the characteristic indicators of the power generation and consumption behavior of the enterprise's self-owned power plant, and the model based on all the indicators and calculation methods.

[0097] In this embodiment, the following preferred solution is adopted:

[0098] When studying the flexibility and adjustment capabilities of self-owned power plants in terms of power generation and consumption resources, the generation side and the consumption side are equivalent to an equivalent load, and the whole system responds to external forces.

[0099] Step 2: Determine the flexibility adjustment capability of the self-owned power plant based on the enterprise's electricity generation and consumption behavior data, pre-set indicators, and a pre-built enterprise electricity cost model. Specifically, this includes:

[0100] 2-1. When evaluating minute-level flexibility, the unit adjustment rate of the equivalent load is defined as the flexibility index of the self-owned power plant. This index mainly characterizes the flexibility adjustment rate of the system at different times and scheduling time scales. Corresponding to increases and decreases in equivalent load power, this index is divided into upward and downward flexibility. The adjustment rate of the adjustable capacity of the equivalent load characterizes the ability to increase power, and the adjustment rate of the adjustable capacity of the equivalent load characterizes the ability to decrease power. Therefore, the adjustment rate of the adjustable capacity... It can be represented as:

[0101]

[0102] In the above formula, P represents the unit output at each moment before load transfer. Gt For unit output, ΔT is the scheduling time scale, R user This represents the load transfer volume on a minute-by-minute basis.

[0103] 2-2. When assessing minute-level flexibility, the change in applied electricity costs caused by adjusting the equivalent load per unit adjustable capacity of a self-owned power plant is defined as the flexibility index of the self-owned power plant. Corresponding to increases and decreases in equivalent load power, this index is divided into upward and downward flexibility. The upward flexibility of the self-owned power plant is represented by the unit adjustment cost of the equivalent load's upward adjustable capacity, and the downward flexibility is represented by the unit adjustment cost of the equivalent load's downward adjustable capacity. Therefore, the unit adjustment cost... Through enterprise electricity cost C U For equivalent load (P)t -P Gt Solve by taking partial derivatives:

[0104]

[0105] 2-3. When assessing hourly flexibility, the adjustable capacity of the equivalent load is defined as the flexibility index of the self-owned power plant. This index mainly characterizes the system's flexibility adjustment capacity over different time periods. Corresponding to increases and decreases in equivalent load power, this index is divided into upward and downward flexibility. The upward adjustment capacity of the equivalent load characterizes the range of increased power, and the downward adjustment capacity characterizes the range of decreased power. The upward and downward adjustment capacity of the equivalent load is also the integral of the unit output over time at different moments within that time period. This is similar to the method used when calculating the rate of change of adjustable capacity. The adjustable capacity consists of the unit's adjustable capacity and the load transfer amount; therefore, the adjustable capacity... It can be represented as:

[0106]

[0107] In the above formula, Δt is the time interval, and Q user This represents hourly load transfer volume.

[0108] 3-1. Analyze the enterprise's self-owned power plant from both the power generation and consumption sides, and construct an enterprise electricity cost model.

[0109] The power generation cost of a self-owned power plant includes initial investment, operation and maintenance, resource consumption, and cross-subsidies, which can be expressed as a convex quadratic function. Therefore, the power generation cost C of the unit during time period T1 is... G (P Gt )for:

[0110]

[0111] In the above formula, a t b t c t These are the coefficients of the cost function.

[0112] 3-2. Enterprise Electricity Purchase Cost Model:

[0113] The electricity used by enterprises mainly comes from two sources: electricity supplied by their own power plants and electricity purchased from the power grid. The cost C for electricity purchased from the grid is... B (P dt This can be expressed as follows:

[0114]

[0115] In the above formula, c dt Let t be the unit price of electricity purchased from the grid at time t.

[0116] At the same time, P dt Following the principle of power balance, it can be expressed as:

[0117] P dt +P Gt =P t (12)

[0118] 3-3. Grid subsidy expenses:

[0119] The power grid uses subsidies to incentivize the power generation and consumption system to make corresponding adjustments, and a power grid subsidy fee C is added to the electricity costs of enterprises. S (P Gt ,P t This can be expressed as follows:

[0120]

[0121] In the above formula, P represents the unit output at each moment before load transfer; Gt To provide power to the generator unit, c st The subsidy amount paid by the grid for each 1 MWh of equivalent load response.

[0122] 3-4. Cost-effectiveness in response to discomfort:

[0123] Load shifting at different times can cause some discomfort to users; this discomfort is converted into cost C. L (P t This can be expressed as follows:

[0124]

[0125] In the above formula, P t 0 tj represents the initial load before load transfer at each time point, tj represents the load transfer between time j and time t, and α represents the discomfort coefficient.

[0126] Based on the above models, the enterprise's electricity cost C can be obtained. U The expression is as follows:

[0127] C U =C G (P Gt )+C B (P dt )+C L (P t )-C S (P Gt ,P t (15)

[0128] To address different needs such as frequency regulation, peak shaving, and renewable energy consumption, different flexibility assessment indicators are proposed from both minute-level and hourly perspectives, such as... Figure 2 As shown:

[0129] 4-1. Energy Efficiency Analysis:

[0130] From a thermodynamic perspective, generator sets operate dynamically, and their thermodynamic characteristics vary at every moment. Since the thermodynamic characteristics studied here are derived from the analysis of the entire thermodynamic system, the energy efficiency evaluation of the unit correspondingly encompasses the overall dynamic characteristics of the unit. Therefore, generator set efficiency is used here to evaluate the unit's energy efficiency level.

[0131] Since the overall efficiency of enterprise electricity consumption is divided into two parts: the power generation efficiency of the self-owned power plant and the power generation efficiency of the power grid, the overall efficiency η total The inequality that satisfies the required efficiency η0 can be expressed as follows:

[0132]

[0133] In the formula, η Gt The power generation efficiency of the self-owned power plant; η dt P represents the power generation efficiency of the power grid. Gt Unit output; P dt Real-time power output of the power grid; P t Load at each time point.

[0134] 4-2. Environmental impact analysis:

[0135] Carbon emission rights in the carbon emissions trading market are essentially ordinary productive resources, generating profits for businesses as they circulate through various stages of production and marketing. Participating in the carbon emissions trading market not only responds to the government's call for energy conservation and emission reduction but also brings carbon trading costs or profits to businesses, which will influence their decision-making in the production and marketing process. Therefore, the carbon emissions ΔE that need to be traded during period T1... carbon Specifically, this can be expressed as follows:

[0136]

[0137] The company's emission cost for this type of emission during period T1 is C. C (P Gt ,P dt This can be represented as follows:

[0138]

[0139] In the above formula, M is the emission quota corresponding to this type of emission, and c ctThis refers to the trading price in the carbon emissions market. When the carbon emissions from self-generated and purchased electricity exceed the quota limit (i.e., the carbon emission cost is greater than zero), the company needs to purchase carbon emission rights from other companies to maintain normal production. When the carbon emissions from self-generated and purchased electricity are less than the quota limit (i.e., the carbon emission cost is less than zero), the company has surplus carbon emission rights after meeting its own production needs, which it can sell to other companies to generate profits.

[0140] 4-3. Minimize Enterprise Electricity Cost Model:

[0141] When considering energy efficiency and environmental friendliness, the enterprise electricity cost model has been updated as follows:

[0142] C U =C G (E Gt )+C B (P dt )+C C (P Gt ,P dt )+C L (P t )-C S (P Gt ,P t (19)

[0143] The constraints are as follows:

[0144] 1) Unit output constraints:

[0145]

[0146] In the formula, Minimum unit output; Maximum unit output; R dt : Unit downhill ramp rate; R ut : The rate at which the unit climbs the incline; ΔT: The scheduling time scale.

[0147] 2) Energy efficiency level constraints:

[0148]

[0149] In the formula, η Gt The power generation efficiency of the self-owned power plant; η dt P represents the power generation efficiency of the power grid. Gt Unit output; P dt Real-time power output of the power grid; P t Load at each time point.

[0150] 3) Load transfer cost constraints:

[0151]

[0152] In the above formula, C L (P t ): Load transfer costs; This is the upper limit for load transfer costs.

[0153] 4) Real-time power balance:

[0154] P dt +P Gt =P t (twenty three)

[0155] The optimal output P of the generator set after adjustment is obtained by solving the model using the fmincon function in Matlab. Gt For different scenario requirements, the adjustable capacity change rate and adjustable power are calculated according to Equations (7) and (9), thereby assessing the flexibility of the self-owned power plant.

[0156] 4-4. Enterprise Unit Adjustment Cost Model:

[0157] Unit adjustment cost The equivalent load (P) can be calculated based on the enterprise's electricity cost, which takes into account energy efficiency and environmental constraints, at the minute level. t -P Gt By taking partial derivatives and solving the problem, the unit cost of regulated electricity is derived as follows:

[0158]

[0159] In the formula, a t : Coefficient of the quadratic term in the generator output cost function; b t : First-order coefficient of generator output cost function; c dt : The unit price of electricity purchased from the grid at time t; c st c: The subsidy amount issued by the grid for each 1 MWh of equivalent load response; ct Carbon emission market trading price; k dt : Power emission factor for self-contained power supply; k Gt : Power emission factor of grid-connected electricity; P Gt To generate power for the generating unit; determine the flexibility adjustment range based on actual cost requirements. For example, if the flexibility adjustment requirement for a company's self-owned power plant is that the unit adjustment cost should not exceed ΔC0, it can be expressed as follows:

[0160]

[0161] This provides the output range of the unit that meets economic requirements, offering flexibility adjustment suggestions for enterprises with their own power plants, enabling them to make more economical and flexible adjustments.

[0162] like Figure 3The diagram shows the output constraint model of the self-owned power plant unit. From the diagram, we can see that the upper limit of point A when adjusting upward is the maximum output of the unit, the upper limit of point B when adjusting upward is the upper limit of the unit when climbing upward, the lower limit of point C when adjusting downward is the lower limit of the unit when climbing downward, and the lower limit of point D when adjusting downward is the minimum output of the unit.

[0163] Example 2:

[0164] Based on the same inventive concept, the present invention also provides a system for determining the flexibility adjustment amount of power generation and consumption resources of a self-owned power plant, the system comprising:

[0165] The behavioral data determination module determines the enterprise's electricity generation and consumption behavior data based on the power generation and consumption data of the self-owned power plant, the power purchase data of the power grid, and the pre-built behavioral characteristic index model of the self-owned power plant.

[0166] The capacity determination module determines the flexibility adjustment capacity of the self-owned power plant based on the enterprise's power generation and consumption behavior data, as well as pre-set indicators and a pre-built enterprise electricity cost model.

[0167] The flexibility adjustment capability includes adjustable capacity adjustment rate, unit adjustment cost, and adjustable power consumption corresponding to multiple time steps determined by different needs.

[0168] The capability determination module includes: an indicator setting submodule, a model building submodule, and an adjustment submodule;

[0169] The indicator setting submodule is used to propose different flexibility evaluation indicators from the perspectives of minutes and hours to meet the different needs of frequency regulation, peak shaving and new energy consumption.

[0170] The model building submodule is used to build an enterprise electricity cost model.

[0171] The calculation submodule calculates the flexibility adjustment capability of the self-owned power plant based on the enterprise electricity consumption behavior data corresponding to the minimum enterprise electricity cost calculated by the enterprise electricity cost model.

[0172] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0173] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0174] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0175] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0176] The above are merely embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention are included within the scope of the claims of the present invention pending approval.

Claims

1. A method for evaluating the flexibility of power generation and consumption regulation capabilities of a self-owned power plant, characterized in that, The method includes: Based on the power generation and consumption data of self-owned power plants, the power purchase data of the power grid, and the pre-constructed power generation and consumption behavior characteristic indicators of self-owned power plants, the data corresponding to each behavior characteristic of the enterprise's power generation and consumption are determined; The flexibility adjustment capability of the self-owned power plant is determined based on the data corresponding to the characteristics of the enterprise's power generation and consumption behavior, as well as the pre-set flexibility assessment indicators and the pre-built enterprise electricity cost model. The flexibility adjustment capability includes adjustable capacity adjustment rate, unit adjustment cost, and adjustable power consumption corresponding to multiple time steps determined by different needs. The setting of the indicators includes: To address the different needs of frequency regulation, peak shaving, and renewable energy consumption, flexibility assessment indicators based on multiple time steps were determined. The flexibility evaluation metrics based on multiple time steps include: minute-level flexibility evaluation metrics and hour-level flexibility evaluation metrics. The minute-level flexible evaluation metrics include: unit adjustment rate and unit adjustment cost of equivalent load; The hourly flexible evaluation indicators include: the adjustable power of the equivalent load of the self-owned power plant; The unit adjustment rate of the equivalent load is calculated using the following formula: Where, This represents the unit output at each time point before load transfer; ΔT is the scheduling time scale. The unit adjustment rate of the equivalent load; R user Load transfer volume in minutes; R t : External load obtained from the power generation and consumption systems of enterprises belonging to the self-owned power plant; P Gt Unit output; The unit adjustment cost is calculated using the following formula: Where, Unit adjustment cost; C U : Enterprise electricity costs; P t Load at various times; The adjustable power is calculated using the following formula: Where, Adjustable power; Q user Δt represents the hourly load transfer amount; Δt represents the interval time.

2. The method as described in claim 1, characterized in that, The power generation and consumption behavior characteristics indicators of the self-owned power plant include: Daily load factor, daily peak-valley difference rate, overall efficiency, carbon emissions, daily electricity purchased from the grid, and daily renewable energy consumption.

3. The method as described in claim 2, characterized in that, The daily load factor is calculated using the following formula: In the formula, K1 represents the daily load factor of the company's self-owned power plant; P t Load at various times; P tmax This is the maximum daily load. T: Indicates the number of load data sets; The daily peak-valley difference rate is calculated using the following formula: In the formula, K2 represents the daily peak-valley difference rate of the company's self-owned power plant; P tmin Minimum daily load; The overall efficiency is calculated using the following formula: In the formula, η total Overall efficiency; η Gt The power generation efficiency of the self-owned power plant; η dt P represents the power generation efficiency of the power grid. Gt Unit output; P dt Real-time power output of the power grid; P t Load at various times; The carbon emissions are calculated using the following formula: In the formula, k Gt k is the power emission factor for self-generated power. dt The power emission factor for supplying power to the grid, where Δt is the interval time.

4. The method as described in claim 3, characterized in that, The daily electricity purchased from the grid is calculated using the following formula: In the formula, Q Buy Daily electricity purchased from the grid; Δt is the interval time; The daily renewable energy consumption is calculated using the following formula: In the formula, Q renew Daily renewable energy consumption; The percentage of energy output from new energy sources at time t.

5. The method as described in claim 1, characterized in that, The construction of the enterprise electricity cost model includes: Considering energy efficiency and environmental protection, an objective function is constructed with the goal of minimizing enterprise costs. Multiple constraints are constructed for the objective function, and the minimum enterprise electricity cost is obtained by solving the enterprise electricity cost model. The constraints include: unit output constraints, energy efficiency level constraints, load transfer cost constraints, real-time power balance constraints, and enterprise unit adjustment cost constraints.

6. The method as described in claim 5, characterized in that, The objective function is calculated using the following formula: C U =C G (E Gt )+C B (P dt )+C C (P Gt ,P dt )+C L (P t )-C S (P Gt ,P t ) In the formula, C U Minimum electricity cost for businesses; C G (P Gt ): The power generation cost of the unit during time period T1; C B (P dt ): Cost of electricity purchased from the power grid; C S (P Gt ,P t ): Power grid subsidy; C L (P t ): Discomfort is converted into cost; C C (P Gt ,P dt Carbon emission costs.

7. The method as described in claim 6, characterized in that, The carbon emission cost C C (P Gt ,P dt Calculate using the following formula: In the formula, C C (P Gt ,P dt ): Carbon emission cost; M is the emission allowance corresponding to this type of emission, c ct For carbon emissions market trading prices; k Gt The power emission factor for self-contained power supply; k dt The power emission factor for supplying power to the grid; Δt is the interval time; P Gt Unit output; P dt The power grid outputs power in real time.

8. The method as described in claim 7, characterized in that, The determination of the flexibility adjustment capability of the self-owned power plant based on data corresponding to the enterprise's power generation and consumption behavior characteristics, as well as pre-set flexibility assessment indicators and a pre-constructed enterprise electricity cost model, includes: Under the premise that the overall efficiency meets the required efficiency, the minimum enterprise electricity cost is calculated by solving the enterprise electricity cost model based on the enterprise's electricity generation and consumption behavior data. Based on the enterprise power generation and consumption behavior data corresponding to the minimum enterprise electricity cost, calculate the adjustable capacity adjustment rate, unit adjustment cost, and adjustable power volume of the self-owned power plant.

9. A system for implementing the evaluation method for the flexibility of power generation and consumption regulation capabilities of self-owned power plants as described in any one of claims 1-8, characterized in that, The system includes: The behavioral data determination module determines the enterprise's electricity generation and consumption behavior data based on the power generation and consumption data of the self-owned power plant, the power purchase data of the power grid, and the pre-built behavioral characteristic index model of the self-owned power plant. The capacity determination module determines the flexibility adjustment capacity of the self-owned power plant based on the enterprise's power generation and consumption behavior data, as well as pre-set indicators and a pre-built enterprise electricity cost model. The flexibility adjustment capability includes adjustable capacity adjustment rate, unit adjustment cost, and adjustable power consumption corresponding to multiple time steps determined by different needs.

10. The system as described in claim 9, characterized in that, The capability determination module includes: an indicator setting submodule, a model building submodule, and an adjustment submodule; The indicator setting submodule is used to propose different flexibility evaluation indicators from the perspectives of minutes and hours to meet the different needs of frequency regulation, peak shaving and new energy consumption. The model building submodule is used to build an enterprise electricity cost model. The calculation submodule calculates the flexibility adjustment capability of the self-owned power plant based on the enterprise electricity consumption behavior data corresponding to the minimum enterprise electricity cost calculated by the enterprise electricity cost model.

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