Green electricity substance metabolism accounting and evaluation method in regional power system

Abstract

The invention provides a green electricity substance metabolism accounting and evaluation method in a regional power system. The method comprises the steps that S101, a system framework of green electricity substance metabolism accounting of the whole life cycle of the regional power system is built; s102, collecting material flow parameters of the green electricity in each link in the system framework; s103, calculating the flow and stock of green electricity resources in the regional power system based on the system framework and the material flow parameters; and S104, evaluating metabolism of green electricity substances in the system framework according to the flow and stock of green electricity resources in the regional power system, and outputting an evaluation result. The method can realize quantitative relation analysis and utilization level evaluation of the green power resource material flow of the regional power system, can further refine the spatio-temporal evolution law of the regional green power in the whole life cycle based on the flow and stock accounting result and the evaluation index, identifies the utilization efficiency of the green power resource, and improves the utilization efficiency of the green power system. The method provides an important basis for establishing refined green power resource management and power system optimization, and has high industrial application value.

Description

Technical Field

[0001] The present invention relates to the field of green electricity accounting technology, and in particular to a method for calculating and evaluating green electricity material metabolism in a regional power system. Background Art

[0002] In recent years, driven by technological innovation, renewable energy generation (also known as green electricity or simply "green power") has begun to gradually replace traditional fossil fuels. Against the backdrop of international energy development and my country's "dual carbon" goals, my country's installed green power capacity has grown rapidly, ranking first in the world for many years.

[0003] However, the lack of a unified analytical framework for the material metabolism of green electricity resources throughout their life cycle makes it difficult to fully understand their spatiotemporal evolution. This uncertainty hinders the scientific allocation and efficient utilization of green electricity resources. Furthermore, scientific utilization level assessments of regional power systems are crucial. This can be used to evaluate the effectiveness of existing technical strategies and provide a foundation for the optimal design of future green electricity systems. Currently, there is a lack of research on the analysis and evaluation of the material metabolism of green electricity resources throughout their life cycle in regional power systems. Summary of the Invention

[0004] The purpose of the present invention is to provide a method for calculating and evaluating the metabolism of green electricity materials in a regional power system, so as to solve the problem of the current lack of quantitative accounting and evaluation technology for the metabolism of green electricity resources at all stages of the entire life cycle.

[0005] To achieve the above objectives, the technical solutions provided by the present invention are as follows:

[0006] A method for calculating and evaluating green electricity material metabolism in a regional power system includes the following operations:

[0007] S101. Build a system framework for green electricity material metabolism accounting throughout the life cycle of the regional power system;

[0008] S102, collecting material flow parameters of green electricity in each link of the system framework;

[0009] S103. Calculate the flow and stock of green electricity resources in the regional power system based on the system framework and material flow parameters;

[0010] S104. Based on the flow and stock of green electricity resources in the regional power system, evaluate the green electricity material metabolism within the system framework and output the evaluation results.

[0011] Furthermore, the system framework is composed of space-time boundaries and life cycle processes. The space-time boundaries include time boundaries and space boundaries. The life cycle processes include power generation links, power transmission links, power trading links, user consumption links and power storage links.

[0012] Furthermore, material flow parameters of green electricity in each link of the system framework are collected, including:

[0013] The following parameters are collected in the power generation stage: wind power generation, photovoltaic power generation, wind curtailment rate, photovoltaic curtailment rate, wind power installed capacity, photovoltaic installed capacity, power generation cost, and power investment;

[0014] The following parameters are collected during the power transmission process: network loss rate, green power transmission volume;

[0015] The following parameters are collected during the electricity trading process: green electricity trading volume, green certificate trading volume;

[0016] The following parameters are collected at the user consumption stage: electricity consumption of downstream industries and green electricity utilization rate of each industry;

[0017] The following parameters are collected in the power storage link: energy storage inflow and overall efficiency of the energy storage power station.

[0018] Furthermore, the flow and stock of green electricity resources in the regional power system are calculated, and the corresponding expressions include:

[0019] F generation =F consumption +F export +F loss +S

[0020] Among them, F generation is the green electricity generation within the system framework, F consumption is the local consumption of green electricity, F export is the net outbound delivery of green electricity, F loss is the system loss of green electricity, S is the green electricity stock of the energy storage unit, and the local consumption of green electricity is obtained by calculating the green electricity consumption of each industry. The calculation formula for the green electricity consumption of a specific industry is as follows:

[0021] f i greenpowerconsumption =W i consumption ×ω i

[0022] Among them, i is the specific industry, f i greenpowerconsumption is the green electricity consumption of industry i, W i consumption is the total electricity consumption of industry i, ω i is the green electricity utilization rate of industry i;

[0023] The calculation formula for the green electricity storage of the energy storage unit is as follows:

[0024]

[0025] Where t0 is the base year, Indicates the green electricity storage in the energy storage unit, and represent the green current flowing into and out of the energy storage module in year t, Indicates the overall efficiency of energy storage.

[0026] Furthermore, before evaluating the green electricity material metabolism within the system framework, an evaluation index system is constructed, which includes sub-goals in three dimensions: environment, economy, and sustainable supply.

[0027] Evaluation indicators under the environmental sub-goal include: sulfur dioxide emission reduction, nitrogen oxide emission reduction, particulate matter emission reduction, and carbon dioxide emission reduction compared to coal-fired power generation;

[0028] Evaluation indicators under the economic sub-goal include: the ratio of the levelized cost of electricity (LCOE) of photovoltaic power generation to the local coal-fired benchmark electricity price, the ratio of the levelized cost of electricity (LCOE) of wind power generation to the local coal-fired benchmark electricity price, the trading coverage rate of green electricity and green certificates, and the ratio of green electricity investment to total electricity investment in the region;

[0029] The evaluation indicators under the sustainable supply sub-goal include: average utilization rate of green electricity, average annual utilization hours of green electricity, network loss rate, and ratio of green electricity generation to storage capacity.

[0030] Furthermore, each evaluation index is standardized and the calculation formula is as follows:

[0031]

[0032] Among them, i represents the index of the evaluation index; x i is the original value of i; x max and x min are the maximum and minimum values of i respectively; x i ' and x i "represent the positive and negative dimensionless index values of i, respectively.

[0033] Furthermore, the maximum and minimum values of the evaluation index i are calculated as follows:

[0034] The indicator values corresponding to each evaluation indicator in the sub-goals of different dimensions are converted into distributed confidence based on the multi-attribute value theory;

[0035] Determine the indicator weight corresponding to each evaluation indicator, convert the distributed confidence of each evaluation indicator into a probability distribution form according to the indicator weight, and synthesize the probability distribution form of the evaluation indicator;

[0036] The synthesis results in the form of probability distribution are converted into the maximum and minimum values of the evaluation indicators.

[0037] Furthermore, the standardized evaluation indicators are synthesized and the green electricity material metabolism within the system framework is evaluated by level score measurement. The calculation formula is as follows:

[0038]

[0039] Among them, TS is the green electricity utilization level score; R i 、E i 、S i are standardized indicators under the economic, environmental and sustainable supply sub-goals respectively; ω Ri 、ω Ei 、ω Si are the sub-goal weights of the three dimensions respectively.

[0040] Furthermore, the weights of sub-goals of different dimensions are determined in the following way:

[0041] For the sub-goal evaluation index of any dimension, define ω e 、ω a 、ω te and ω c , which respectively represent the normalized sub-goal weights calculated by different weight calculation methods;

[0042] According to the user's preference for the weight calculation method, the bias coefficients p and q are determined, p+q=1;

[0043] The sub-goal weight is calculated based on the normalized evaluation index weight and bias coefficient. The calculation formula is as follows:

[0044]

[0045] Where N(·) represents the normalized calculation function.

[0046] Furthermore, after the evaluation result is output, a hash operation is performed on the evaluation result to obtain a hash operation result, the evaluation result is saved in a distributed storage system, and the storage address of the evaluation result in the distributed storage system and the hash operation result are written into the blockchain for storage.

[0047] Compared with the prior art, the present invention has the following beneficial effects:

[0048] The present invention provides a method for calculating and evaluating the material metabolism of green electricity in a regional power system, which can realize the quantitative relationship analysis and utilization level evaluation of the material flow of green electricity resources in the regional power system. Based on the flow and stock accounting results and evaluation indicators, it can further refine the spatiotemporal evolution law of regional green electricity in the whole life cycle, identify the utilization efficiency of green electricity resources, and provide an important basis for establishing refined green electricity resource management and power system optimization. Therefore, the present invention effectively overcomes many defects in the existing technology and has high industrial application value. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only preferred embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0050] Figure 1 It is a schematic diagram of the overall process of a method for calculating and evaluating green electricity metabolism in a regional power system provided by an embodiment of the present invention.

[0051] Figure 2 This is a flow chart of a method for calculating and evaluating the green electricity metabolism of a regional power system, provided by an embodiment of the present invention, taking the eight leagues and cities covered by the Inner Mongolia Western Power Grid in China as an example of data from 2022 to 2024. DETAILED DESCRIPTION

[0052] The principles and features of the present invention are described below with reference to the accompanying drawings. The enumerated embodiments are only used to explain the present invention and are not used to limit the scope of the present invention.

[0053] Reference Figure 1 This embodiment provides a method for calculating and evaluating green electricity material metabolism in a regional power system, the method comprising the following operations:

[0054] S101. Build a system framework for accounting for green electricity metabolism throughout the life cycle of regional power systems.

[0055] In this embodiment, the system framework consists of spatiotemporal boundaries and lifecycle processes. These spatiotemporal boundaries include time boundaries and spatial boundaries. For example, the time boundary should be based on a one-year step; the spatial boundary should be based on administrative divisions such as cities, provinces, and countries. The lifecycle process includes power generation, power transmission, power trading, user consumption, and power storage.

[0056] S102. Collect material flow parameters of green electricity in each link of the system framework.

[0057] In this step, the material flow parameters that need to be collected by green electricity in each link of the system framework are as follows:

[0058] Parameters in the power generation link include: wind power generation, photovoltaic power generation, wind curtailment rate, photovoltaic curtailment rate, wind power installed capacity, photovoltaic installed capacity, power generation cost, and power investment;

[0059] Parameters in the power transmission link include: network loss rate, green power transmission volume;

[0060] Parameters in the electricity trading process include: green electricity trading volume, green certificate trading volume;

[0061] Parameters in the user consumption link include: electricity consumption of downstream industries and green electricity utilization rate of various industries;

[0062] Parameters in the power storage link include: energy storage inflow and the overall efficiency of the energy storage power station.

[0063] S103. Based on the system framework and material flow parameters, calculate the flow and stock of green electricity resources in the regional power system.

[0064] S104. Based on the flow and stock of green electricity resources in the regional power system, evaluate the green electricity material metabolism within the system framework and output the evaluation results.

[0065] As a possible implementation method, based on the principle of energy conservation, the flow and stock of green electricity resources in the regional power system are calculated. The corresponding expressions include:

[0066] F generation =F consumption +F export +F loss +S

[0067] Among them, F generation is the green electricity generation within the system framework, F consumption is the local consumption of green electricity, F export is the net outbound delivery of green electricity, F loss is the system loss of green electricity, S is the green electricity stock of the energy storage unit, and the local consumption of green electricity is obtained by calculating the green electricity consumption of each industry. The calculation formula for the green electricity consumption of a specific industry is as follows:

[0068] f i greenpowerconsumption =W i consumption ×ω i

[0069] Among them, i is the specific industry, f i greenpowerconsumption is the green electricity consumption of industry i, W iconsumption is the total electricity consumption of industry i, ω i is the green electricity utilization rate of industry i.

[0070] The calculation formula for the green electricity storage of the energy storage unit is as follows:

[0071]

[0072] Where t0 is the base year, Indicates the green electricity storage in the energy storage unit, and represent the green current flowing into and out of the energy storage module in year t, Indicates the overall efficiency of energy storage.

[0073] In this embodiment, the method constructs an evaluation index system to evaluate the green electricity material metabolism within the system framework. As a possible implementation, the evaluation index system includes sub-goals in three dimensions: environment, economy, and sustainable supply.

[0074] Among them, the evaluation indicators under the environmental sub-goal include: sulfur dioxide emission reduction, nitrogen oxide emission reduction, particulate matter emission reduction, and carbon dioxide emission reduction compared with coal-fired power generation.

[0075] The evaluation indicators under the economic sub-goal include: the ratio of the levelized cost of electricity of photovoltaic power generation to the local coal-fired benchmark electricity price, the ratio of the levelized cost of electricity of wind power generation to the local coal-fired benchmark electricity price, the trading coverage rate of green electricity and green certificates, and the ratio of green electricity investment in the region to total electricity investment.

[0076] The evaluation indicators under the sustainable supply sub-goal include: average utilization rate of green electricity, average annual utilization hours of green electricity, network loss rate, and ratio of green electricity generation to storage capacity.

[0077] After constructing the evaluation index system, each evaluation index is standardized and the calculation formula is as follows:

[0078]

[0079] Among them, i represents the index of the evaluation index; x i is the original value of i; x max and x min are the maximum and minimum values of i respectively; x' i and x" i Represent the positive and negative dimensionless index values of i respectively.

[0080] As a further possible implementation, the maximum and minimum values of the evaluation index i are calculated in the following manner:

[0081] S201. Convert the indicator values corresponding to the evaluation indicators in the sub-goals of different dimensions into distributed confidence based on the multi-attribute value theory.

[0082] S202: Determine the indicator weight corresponding to each evaluation indicator, convert the distributed confidence of each evaluation indicator into a probability distribution form according to the indicator weight, and synthesize the probability distribution form of the evaluation indicator.

[0083] S203: Convert the synthesis result in the form of probability distribution into the maximum and minimum values of the evaluation index.

[0084] The calculation of evaluation index values is closely related to the accuracy of evaluation results. However, existing calculation methods are mainly based on manually selected evaluation indicators, which are highly subjective and cannot guarantee data integrity. This implementation method integrates information of evaluation indicators and further calculates the corresponding evaluation index values, thereby improving data credibility and ensuring the accuracy of evaluation results.

[0085] After standardizing the evaluation indicators, they are further synthesized and the green electricity metabolism within the system framework is evaluated by level score measurement. The calculation formula is as follows:

[0086]

[0087] Among them, TS is the green electricity utilization level score; R i 、E i 、S i are standardized indicators under the economic, environmental and sustainable supply sub-goals respectively; ω Ri 、ω Ei 、ω Si are the weights of the sub-goals in the three dimensions. After calculating the green electricity utilization level score, the green electricity material metabolism within the system framework is evaluated based on the green electricity utilization level score. The evaluation principle is: the higher the green electricity utilization level score, the higher the evaluation level, and vice versa.

[0088] As a further possible implementation, the weights of sub-goals of different dimensions are determined in the following manner:

[0089] S301. For any dimension of sub-goal evaluation index, define ω e 、ω a 、ω te and ω c , which respectively represent the normalized sub-goal weights calculated by different weight calculation methods.

[0090] In this embodiment, ω e 、ω a 、ω te and ω cThey represent the normalized sub-goal weights calculated using the expert weighting method, AHP analysis method, entropy method and coefficient of variation method respectively.

[0091] S302 : Determine bias coefficients p and q according to the user's preference for the weight calculation method, where p+q=1.

[0092] S303. Calculate the sub-goal weight according to the normalized evaluation index weight and the bias coefficient. The calculation formula is as follows:

[0093]

[0094] Where N(·) represents the normalized calculation function.

[0095] The sub-goal weight calculation method provided by this embodiment can take into account the characteristics of both subjective and objective methods to accurately reflect the importance of different sub-goals.

[0096] As another possible implementation, in step S104, after the evaluation results are output, a hash operation is performed on the evaluation results to obtain a hash result, which is then stored in a distributed storage system. The storage address of the evaluation results in the distributed storage system and the hash result are written to the blockchain for storage. The storage address and hash result in the blockchain allow for traceability and tamper-proof verification of the evaluation results, thereby ensuring the authenticity and reliability of the green electricity substance metabolism evaluation.

[0097] In a specific embodiment of the present invention, the method provided in the above embodiment is used to calculate and evaluate the metabolism of green electricity in a regional power system.

[0098] This specific embodiment mainly includes three steps:

[0099] Step 1: Build a system framework for calculating green electricity metabolism throughout the life cycle of the regional power system:

[0100] The eight leagues and cities covered by the Inner Mongolia Western Power Grid (Hohhot, Baotou, Ordos, Ulanqab, Bayannur, Alxa, Wuhai, and Xilin Gol) are used as spatial boundaries, and the period from 2022 to 2024 is used as the time boundary. Figure 2 As shown, the life cycle processes involved in the green electricity resources within the system boundary are determined.

[0101] Step 2: Collect material flow parameters of green electricity in each link of the system framework:

[0102] Determine the material flow parameters of power generation, power transmission, power trading, user consumption, and power storage within the system framework; specifically, the parameters in the power generation link include wind power generation, photovoltaic power generation, wind curtailment rate, solar curtailment rate, wind installed capacity, photovoltaic installed capacity, power generation cost, and power investment; the parameters in the power transmission link include network loss rate and green electricity export volume; the parameters in the power trading link include green electricity trading volume and green certificate trading volume; the parameters in the user consumption link include power consumption of downstream industries and green electricity utilization rate of various industries; the parameters in the power storage link include energy storage inflow and the comprehensive efficiency of energy storage power stations.

[0103] Step 3: Calculate the green current flow and stock of each link in the regional power system. The specific calculation formula is shown in Table 1.

[0104] Table 1 Calculation formulas for green electricity resource flows and stocks in each link of the regional power system

[0105]

[0106]

[0107]

[0108] Step 4: Evaluate the green electricity utilization level of the regional power system based on the green electricity flow, stock and collected parameters in the regional power system.

[0109] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for calculating and evaluating green electricity metabolism in a regional power system, characterized in that: The method comprises: S101. Build a system framework for green electricity material metabolism accounting throughout the life cycle of the regional power system; S102, collecting material flow parameters of green electricity in each link of the system framework; S103. Calculate the flow and stock of green electricity resources in the regional power system based on the system framework and material flow parameters; S104. Based on the flow and stock of green electricity resources in the regional power system, evaluate the green electricity material metabolism within the system framework and output the evaluation results.

2. A method for calculating and evaluating green electricity metabolism in a regional power system according to claim 1, characterized in that: The system framework is composed of space-time boundaries and life cycle processes. The space-time boundaries include time boundaries and space boundaries. The life cycle processes include power generation links, power transmission links, power trading links, user consumption links and power storage links.

3. The method for calculating and evaluating green electricity metabolism in a regional power system according to claim 2, characterized in that: Collect material flow parameters of green electricity in each link of the system framework, including: The following parameters are collected in the power generation stage: wind power generation, photovoltaic power generation, wind curtailment rate, photovoltaic curtailment rate, wind power installed capacity, photovoltaic installed capacity, power generation cost, and power investment; The following parameters are collected during the power transmission process: network loss rate, green power transmission volume; The following parameters are collected during the electricity trading process: green electricity trading volume, green certificate trading volume; The following parameters are collected at the user consumption stage: electricity consumption of downstream industries and green electricity utilization rate of each industry; The following parameters are collected in the power storage link: energy storage inflow and overall efficiency of the energy storage power station.

4. A method for calculating and evaluating green electricity metabolism in a regional power system according to claim 3, characterized in that: Calculate the flow and stock of green electricity resources in the regional power system. The corresponding expressions include: F generation =F consumption +F export +F loss +S Among them, F generation is the green electricity generation within the system framework, F consumption is the local consumption of green electricity, F export is the net outbound delivery of green electricity, F loss is the system loss of green electricity, S is the green electricity stock of the energy storage unit, and the local consumption of green electricity is obtained by calculating the green electricity consumption of each industry. The calculation formula for the green electricity consumption of a specific industry is as follows: Among them, i is a specific industry, is the green electricity consumption of industry i, is the total electricity consumption of industry i, ω i is the green electricity utilization rate of industry i; The calculation formula for the green electricity storage of the energy storage unit is as follows: Where t0 is the base year, Indicates the green electricity storage in the energy storage unit, and represent the green current flowing into and out of the energy storage module in year t, Indicates the overall efficiency of energy storage.

5. The method for calculating and evaluating green electricity metabolism in a regional power system according to claim 1, characterized in that: Before evaluating the green electricity material metabolism within the system framework, an evaluation index system is constructed, which includes sub-goals in three dimensions: environment, economy, and sustainable supply. Evaluation indicators under the environmental sub-goal include: sulfur dioxide emission reduction, nitrogen oxide emission reduction, particulate matter emission reduction, and carbon dioxide emission reduction compared to coal-fired power generation; Evaluation indicators under the economic sub-goal include: the ratio of the levelized cost of electricity (LCOE) of photovoltaic power generation to the local coal-fired benchmark electricity price, the ratio of the levelized cost of electricity (LCOE) of wind power generation to the local coal-fired benchmark electricity price, the trading coverage rate of green electricity and green certificates, and the ratio of green electricity investment to total electricity investment in the region; The evaluation indicators under the sustainable supply sub-goal include: average utilization rate of green electricity, average annual utilization hours of green electricity, network loss rate, and ratio of green electricity generation to storage capacity.

6. A method for calculating and evaluating green electricity metabolism in a regional power system according to claim 5, characterized in that: Each evaluation index is standardized and the calculation formula is as follows: Among them, i represents the index of the evaluation index; x i is the original value of i; x max and x min are the maximum and minimum values of i respectively; x i ' and x i "represent the positive and negative dimensionless index values of i, respectively.

7. A method for calculating and evaluating green electricity metabolism in a regional power system according to claim 6, characterized in that: The maximum and minimum values of the evaluation index i are calculated as follows: The indicator values corresponding to each evaluation indicator in the sub-goals of different dimensions are converted into distributed confidence based on the multi-attribute value theory; Determine the indicator weight corresponding to each evaluation indicator, convert the distributed confidence of each evaluation indicator into a probability distribution form according to the indicator weight, and synthesize the probability distribution form of the evaluation indicator; The synthesis results in the form of probability distribution are converted into the maximum and minimum values of the evaluation indicators.

8. The method for calculating and evaluating green electricity metabolism in a regional power system according to claim 6, characterized in that: The standardized evaluation indicators are synthesized and the green electricity metabolism within the system framework is evaluated by level score measurement. The calculation formula is as follows: Among them, TS is the green electricity utilization level score; R i 、E i 、S i are standardized indicators under the economic, environmental and sustainable supply sub-goals respectively; ω Ri 、ω Ei 、ω Si are the sub-goal weights of the three dimensions respectively.

9. A method for calculating and evaluating green electricity metabolism in a regional power system according to claim 8, characterized in that: The weights of sub-goals in different dimensions are determined as follows: For the sub-goal evaluation index of any dimension, define ω e 、ω a 、ω te and ω c , which respectively represent the normalized sub-goal weights calculated by different weight calculation methods; According to the user's preference for the weight calculation method, the bias coefficients p and q are determined, p+q=1; The sub-goal weight is calculated based on the normalized evaluation index weight and bias coefficient. The calculation formula is as follows: Where N(·) represents the normalized calculation function.

10. The method for calculating and evaluating green electricity metabolism in a regional power system according to claim 1, characterized in that: After the evaluation result is output, a hash operation is performed on the evaluation result to obtain the hash operation result, and the evaluation result is saved in a distributed storage system. The storage address of the evaluation result in the distributed storage system and the hash operation result are written into the blockchain for storage.

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