CN115660303A - Regional energy Internet planning method and device - Google Patents

Abstract

The invention relates to the technical field of energy Internet planning, and particularly provides a regional energy Internet planning method and device, which comprise the following steps: acquiring index values of all final-stage evaluation indexes of a region biomass resource utilization scheme evaluation index system constructed in advance in the region biomass resource utilization scheme; determining a comprehensive evaluation value of the regional biomass resource utilization scheme based on the index value of each final-stage evaluation index and the weight coefficient of each final-stage evaluation index; selecting an optimal regional biomass resource utilization scheme from the regional biomass resource utilization schemes based on the comprehensive evaluation value of the regional biomass resource utilization schemes, and performing energy Internet planning on the region by using the optimal regional biomass resource utilization scheme; according to the technical scheme provided by the invention, feasible schemes of biomass resource utilization are obtained in a sequencing and preferential manner according to the comprehensive value, and the optimal energy Internet planning based on the biomass resource utilization scheme is realized.

Description

A regional energy internet planning method and device

technical field

The invention relates to the technical field of energy internet planning, in particular to a regional energy internet planning method and device.

Background technique

With the development of modernization, the energy demand of various agricultural industries and residents' life tends to be diversified, efficient and clean, and the energy demand has also increased significantly. As energy supply is an important infrastructure and public service, the planning and construction of Energy Internet and multi-energy supply system are technical means to realize economical, clean and efficient energy supply and utilization.

At present, with regard to the planning and construction of energy Internet and multi-energy supply system, in terms of resource and energy utilization, there are large differences in energy use scenarios, large differences in energy demand, large differences in energy resources, and large differences in resource utilization capabilities. How to gain a foothold? It is an urgent problem to be solved to realize economical, clean, and efficient energy supply and use due to its own resource endowment. In addition, under the trend of low-carbon energy consumption, it is imperative to make full and efficient use of biomass energy such as livestock manure, crop straw, and household waste. Energy consumption includes production energy, domestic energy consumption and energy consumption of public service facilities, including electricity demand, gas demand, heat demand, cooling demand and other energy forms. The energy source is mainly commercial energy, such as electric energy, fuel oil, natural gas , coal, coke, etc. Agricultural production and life will produce a large amount of biomass waste. Making full use of the biomass energy contained in it can not only provide electricity/gas/heat/cold supply, but also effectively reduce the damage of biomass waste to the environment. Usable biomass resources mainly include biomass waste such as straw, firewood, poultry and livestock manure, and household garbage. Biomass resources can be divided into three categories according to energy utilization efficiency and environmental impact: low-efficiency utilization, medium-efficiency utilization and high-efficiency utilization: direct combustion of firewood, straw, and livestock manure for energy supply and direct landfill disposal of waste are the lowest-cost biomass Energy utilization and processing mode, low energy conversion rate and serious environmental pollution, belong to low-efficiency utilization; biomass biogasification, straw gasification, straw solidification molding, straw carbonization, etc. Effectively improve the energy conversion rate and reduce environmental pollution, which belongs to medium-efficiency utilization; use biomass methane, combustible garbage, etc. to generate electricity, combined heat and power, and combined heat, power and cooling for energy supply, with high energy conversion rate and low pollution emissions, which belongs to high efficiency and cleanliness use. my country has a vast territory, diverse typical energy use scenarios, and great differences in the types and reserves of biomass resources. In addition, the environmental conditions and socio-economic levels of different regions are different, and there are many options for the utilization of biomass resources.

Therefore, it is necessary to consider the distribution, types, reserves and energy demand of biomass resources in a targeted manner, and establish an energy Internet planning method based on multi-attribute optimization of biomass resource utilization schemes, which can be applied to the economic development of different typical regions. , social development level and natural resource conditions. It can be applied to different typical energy usage scenarios and provide an important basis for the construction of energy supply system.

At present, in addition to the power supply system in most areas, other energy supply systems such as gas supply systems, heat supply systems and other energy infrastructure constructions are not perfect, and the energy supply system is not complete. In addition, in the existing energy Internet and multi-energy coupling system planning methods, the local biomass resources are incorporated into the planning model with a single utilization plan, but the relevant research on how to decide the utilization plan of biomass resources is not sufficient , the lack of a comprehensive evaluation method for biomass resource utilization schemes in terms of economy, environmental protection, and energy utilization efficiency, resulting in insufficient applicability of planning schemes to energy use scenarios and insufficient utilization of biomass resources. Therefore, it is urgent to study a convenient and effective energy Internet planning method to screen the configuration scheme of biomass energy supply equipment and provide a basis for the construction of subsequent energy supply systems.

Contents of the invention

In order to overcome the above defects, the present invention proposes a method and device for regional energy internet planning.

In the first aspect, a regional energy internet planning method is provided, and the regional energy internet planning method includes:

Obtain the index values of the final evaluation indicators of the regional biomass resource utilization scheme in the pre-constructed regional biomass resource utilization scheme evaluation index system;

Determining the weight coefficients of the respective final-level evaluation indexes based on the respective first weight coefficients and second weight coefficients of the respective final-level evaluation indexes;

Determine the comprehensive evaluation value of the regional biomass resource utilization scheme based on the index value of each final evaluation index and the weight coefficient of each final evaluation index;

Based on the comprehensive evaluation value of each regional biomass resource utilization plan, select the optimal regional biomass resource utilization plan in each regional biomass resource utilization plan, and use the optimal regional biomass resource utilization plan to plan the energy Internet for the region;

Wherein, the first weight coefficient and the second weight coefficient of each final evaluation index in the pre-constructed regional biomass resource utilization scheme evaluation index system are respectively obtained based on the AHP and the entropy weight method.

Preferably, the pre-constructed regional biomass resource utilization scheme evaluation index system is a secondary state evaluation system, and the first-level indicators in the pre-constructed regional biomass resource utilization scheme evaluation index system include at least one of the following Types: economic indicators, environmental indicators, and high-efficiency indicators;

The end-level indicators corresponding to the economic indicators include at least one of the following: investment cost, operation cost, maintenance cost, supporting project construction cost, financing rate, subsidy rate, investment/GDP ratio, investment/per capita income ratio , energy saving income, energy sales income, by-product sales income;

The end-level indicators corresponding to the environmental indicators include at least one of the following: carbon dioxide emissions, methane emissions, sulfide emissions, nitrogen oxide emissions, and particulate matter emissions;

The end-level indicators corresponding to the high-efficiency indicators include at least one of the following: resource reserves, biomass treatment equipment installation rate, biomass treatment equipment output rate, biomass energy conversion efficiency, biomass energy supply ratio Ratio, user equipment transformation amount, user equipment transformation cost.

Further, the calculation formula of the carbon dioxide emission is as follows:

E _CO2 ＝EA _CO2 +EB _CO2

The formula for calculating the amount of methane emissions is as follows:

E _CH4 ＝EA _CH4 +EB _CH4

The formula for calculating the sulfide emission is as follows:

E _SO2 ＝EA _SO2 +EB _SO2

The formula for calculating the emission of nitrogen oxides is as follows:

E _NO =EA _NO +EB _NO

The calculation formula of the particle emission is as follows:

E _pm =E _pm2.5 +E _pm10

In the above formula, E _CO2 is the total annual carbon dioxide emission, EA _CO2 is the annual carbon dioxide emission during the processing of biomass raw materials, EB _CO2 is the annual carbon dioxide emission for biomass energy combustion, E _CH4 is the annual total methane Emissions, EA _CH4 is the annual methane emission during the processing of biomass raw materials, EB _CH4 is the annual methane emission caused by leakage in the process of biomass energy transmission and use, E _SO2 is the annual total sulfide emission, EA _SO2 is the annual sulfide emissions during the processing of biomass raw materials, EB _SO2 is the annual sulfide emissions from biomass energy combustion for energy, E _NO is the annual total nitrogen oxide emissions, EA _NO is the biomass raw materials The annual nitrogen oxide emission during the processing process, EB _NO is the annual nitrogen oxide emission of biomass energy combustion for energy, E _pm is the annual total particulate matter emission produced in the process of biomass energy combustion for energy, E _{pm2 .5} is the total annual emission of inhalable particulate matter generated during the combustion of biomass energy for energy, and E _pm10 is the total annual dust emission generated during the combustion of biomass energy for energy.

Further, the formula for calculating the resource reserves is as follows:

Q _bio ＝Q _pl +Q _an +Q _kw +Q _cw

The formula for calculating the installation rate of the biomass treatment equipment is as follows:

The formula for calculating the output rate of the biomass treatment equipment is as follows:

The calculation formula of the biomass energy conversion efficiency is as follows:

The formula for calculating the energy supply ratio of biomass energy is as follows:

The formula for calculating the modification amount of the user equipment is as follows:

The formula for calculating the modification cost of the user equipment is as follows:

In the above formula, Q _bio is the total annual yield of biomass resources converted into standard coal, and Q _pl , Q _an , Q _kw , and Q _cw are crop straw/firewood, biological excrement, and kitchen waste converted into standard coal, respectively. The annual total amount of garbage and combustible garbage, η ₁ is the installation rate of biomass treatment equipment, S _i,bio is the installed capacity of the i-th biomass treatment equipment, Q _i,day is the daily average of the i-th biomass raw material Production amount, η ₂ is the output rate of biomass treatment equipment, W _i,bio is the daily energy output of the i-th biomass treatment equipment converted into kWh, Q _i,day is the day of the i-th biomass raw material The average output, η ₃ is the conversion efficiency of biomass energy, Q _j,out is the electricity/heat/cold energy output of the jth energy conversion equipment converted into kW, and Q _j,in is the conversion of the calculation unit is the biomass energy input of the jth energy conversion equipment in kW, η ₄ is the proportion of biomass energy supply, Q _e.bio , Q _h.bio , Q _l.bio , Q _g.bio are the planning area The annual energy supply of electricity, heat, cooling and gas provided by biomass energy, Q _eΣ , Q _hΣ , Q _lΣ , Q _gΣ are the annual demand for electricity, heat, cooling and gas in the planning area respectively, η ₅ user equipment transformation M _bio is the number of users who need to replace _or transform terminal energy-consuming equipment, M is the total number of users in the planning area, the total cost of CC(A) user equipment transformation, etc. or the number of modified users, cc _i is the cost required for the replacement or modification of end-use equipment for each household.

Further, the calculation formula of the weight coefficients of each final evaluation index is as follows:

ω＝0.5ω ¹ +0.5ω ²

In the above formula, ω is the weight coefficient vector of the final evaluation index, and ω ¹ and ω ² are the first weight coefficient vector and the second weight coefficient vector respectively.

Further, the determination of the comprehensive evaluation value of the regional biomass resource utilization scheme based on the index value of each final evaluation index and the weight coefficient of each final evaluation index includes:

Performing trend processing on the index values of each final evaluation index to obtain the index standard value of each final evaluation index;

Determine the evaluation value of the regional biomass resource utilization plan in the pre-constructed regional biomass resource utilization plan evaluation index system for each first-level index based on the standard value of the regional biomass resource utilization plan for each final evaluation index index standard value;

The comprehensive evaluation value of the regional biomass resource utilization plan is determined based on the evaluation values of the first-level indicators in the pre-built regional biomass resource utilization plan evaluation index system of the regional biomass resource utilization plan.

Further, the calculation formula of the evaluation value of each first-level index in the pre-constructed regional biomass resource utilization scheme evaluation index system of the regional biomass resource utilization scheme is as follows:

为区域生物质资源利用方案i在预先构建的区域生物质资源利用方案评价指标体系中第p个一级指标的指标值与第p个一级指标的最劣值之间的欧氏距离，

为区域生物质资源利用方案i在预先构建的区域生物质资源利用方案评价指标体系中第p个一级指标的指标值与第p个一级指标的最优值之间的欧氏距离。In the above formula, v _ip is the evaluation value of the pth first-level index of the regional biomass resource utilization scheme i in the pre-constructed regional biomass resource utilization scheme evaluation index system,

is the Euclidean distance between the index value of the pth first-level index and the worst value of the pth first-level index in the pre-constructed regional biomass resource utilization plan evaluation index system for regional biomass resource utilization scheme i,

is the Euclidean distance between the index value of the pth first-level index and the optimal value of the pth first-level index in the pre-constructed regional biomass resource utilization plan evaluation index system for regional biomass resource utilization scheme i.

Further, the formula for calculating the comprehensive evaluation value of the regional biomass resource utilization scheme is as follows:

v _ci =∑ _p ω _p v _ip

In the above formula, v _ci is the comprehensive evaluation value of regional biomass resource utilization scheme i, ω _p is the weight coefficient of the pth primary index in the pre-constructed regional biomass resource utilization scheme evaluation index system, p=1,2 ,3.

In the second aspect, a regional energy Internet planning device is provided, and the regional energy Internet planning device includes:

The obtaining module is used to obtain the index value of each final evaluation index of the regional biomass resource utilization plan in the pre-constructed evaluation index system of the regional biomass resource utilization plan;

The first determination module is configured to determine the weight coefficients of the respective final-level evaluation indexes based on the respective first weight coefficients and second weight coefficients of the respective final-level evaluation indexes;

The second determination module is used to determine the comprehensive evaluation value of the regional biomass resource utilization scheme based on the index value of each final evaluation index and the weight coefficient of each final evaluation index;

The planning module is used to select the optimal regional biomass resource utilization plan in each regional biomass resource utilization plan based on the comprehensive evaluation value of each regional biomass resource utilization plan, and use the optimal regional biomass resource utilization plan to make regional Carry out Energy Internet planning;

Wherein, the first weight coefficient and the second weight coefficient of each final evaluation index in the pre-constructed regional biomass resource utilization scheme evaluation index system are respectively obtained based on the AHP and the entropy weight method.

In a third aspect, a computer device is provided, including: one or more processors;

The processor is configured to store one or more programs;

When the one or more programs are executed by the one or more processors, the regional energy internet planning method is realized.

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, the above-mentioned regional energy internet planning method is realized.

The above-mentioned one or more technical solutions of the present invention have at least one or more of the following beneficial effects:

The present invention provides a regional energy Internet planning method and device, including: obtaining the index values of the final evaluation indicators of the regional biomass resource utilization scheme in the pre-constructed regional biomass resource utilization scheme evaluation index system; respectively based on the The first weight coefficient and the second weight coefficient of each end-level evaluation index respectively, determine the weight coefficient of each end-level evaluation index; based on the index value of each end-level evaluation index and the weight of each end-level evaluation index The coefficient determines the comprehensive evaluation value of the regional biomass resource utilization scheme; based on the comprehensive evaluation value of the regional biomass resource utilization scheme, the optimal regional biomass resource utilization scheme is selected among the regional biomass resource utilization schemes, and the optimal regional biomass resource utilization scheme is used. The regional biomass resource utilization plan carries out energy Internet planning for the region; wherein, the first weight coefficient and the second weight coefficient of each final evaluation index in the pre-constructed regional biomass resource utilization plan evaluation index system are based on the analytic hierarchy process and entropy weight method to obtain. The technical solution provided by the present invention establishes a multi-attribute evaluation system for biomass resource utilization schemes based on modern biomass resource endowments and multiple energy requirements, which can realize the value of biomass resource utilization schemes in terms of economy, environmental protection, and high efficiency. Comprehensive evaluation on attributes;

Further, in the technical solution provided by the present invention, the weights of index importance at each level are obtained by using the method of combining subjectivity and objectivity, and then the method of sorting by approaching the ideal solution (TOPSIS method) is used to realize the comprehensive sorting and preliminary screening of different biomass resource utilization schemes Obtain the scheme set; establish a three-tier optimization planning model of the Energy Internet, incorporate the biomass resource utilization scheme solution set together with relevant parameters into the planning model, and obtain the Energy Internet planning scheme by solving the planning model, providing a basis for the construction of the subsequent energy supply system.

Description of drawings

Fig. 1 is a schematic flow chart of main steps of a regional energy internet planning method according to an embodiment of the present invention;

Fig. 2 is a main structural block diagram of a regional energy internet planning device according to an embodiment of the present invention.

Detailed ways

The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings.

In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

Example 1

Referring to accompanying drawing 1, Fig. 1 is a schematic flowchart of the main steps of the regional energy internet planning method according to an embodiment of the present invention. As shown in Figure 1, the regional energy Internet planning method in the embodiment of the present invention mainly includes the following steps:

Step S101: Obtain the index value of each final evaluation index of the regional biomass resource utilization plan in the pre-constructed regional biomass resource utilization plan evaluation index system;

Step S102: Determine the weight coefficients of each end-level evaluation index based on the respective first weight coefficient and second weight coefficient of each end-level evaluation index;

Step S103: Determine the comprehensive evaluation value of the regional biomass resource utilization scheme based on the index values of the final evaluation indicators and the weight coefficients of the final evaluation indicators;

Step S104: Based on the comprehensive evaluation value of each regional biomass resource utilization plan, select the optimal regional biomass resource utilization plan among the regional biomass resource utilization plans, and use the optimal regional biomass resource utilization plan to perform energy Internet planning;

Wherein, the first weight coefficient and the second weight coefficient of each final evaluation index in the pre-constructed regional biomass resource utilization scheme evaluation index system are respectively obtained based on the AHP and the entropy weight method.

In this embodiment, the weight coefficient is a numerical value to measure the relative importance of each index in the comprehensive evaluation, and is generally expressed in the form of a relative number. Since the synthesis of multiple indicators generally adopts the method of weighted average, the determination of the weight directly affects the result of the comprehensive evaluation. The comprehensive evaluation index system of biomass resources utilization plan includes 3 categories and 8 groups with a total of 23 indicators. The focus of decision-making in different regions and different energy use scenarios will be different. Biomass resource utilization program provides technical support.

(1) Analytic Hierarchy Process

Analytical Hierarchy Process (AHP) refers to a decision-making method that decomposes elements related to decision-making into goals, criteria, and programs, and conducts qualitative and quantitative analysis on this basis. Using the expert scoring method, the weights of the evaluation indicators of the criterion layer and the element layer are respectively solved, and the index weights of each layer can be determined according to the following steps.

1) Form an expert group and form an expert questionnaire by experts scoring

2) Construct the consistency check questionnaire of the judgment matrix

The judgment matrix B is formed by the expert scoring table, and the consistency test is carried out on each judgment matrix, and the matrix that fails the consistency test is corrected and re-tested to reduce subjectivity and ensure the rationality and correctness of the judgment results.

3) Calculate indicator weight

Find the largest eigenvalue λ _max of the judgment matrix B and its corresponding eigenvector v:

Bv＝λ _max v

Calculate the weight ω ¹ _i of each evaluation index AHP according to the feature vector v:

(2) Entropy weight method

The value of a certain index in each biomass resource utilization plan tends to be consistent, indicating that the index has little influence on the decision-making of the plan, and the weight of the index is relatively small; the value of an index has a large difference, indicating that the index has a greater impact on the decision-making of the plan , the weight of this indicator is relatively large. The difference between the index values can be described by information entropy.

The basic idea of the entropy weight method is to quantify the information contained in the various differences of individual index values, and then establish an entropy-based index weight model, in which the index weight of each layer can be determined according to the following steps.

1) Construct the evaluation index matrix

The evaluation index matrix is:

In the formula, x _ij represents the evaluation index value of item j of the i-th biomass resource utilization scheme.

The matrix X is post-processed through normalization to obtain the error evaluation matrix D:

2) Calculate the entropy value

According to the definition of entropy, the entropy value of the importance of evaluation index j to each biomass resource utilization scheme is:

3) Calculate indicator weight

The entropy weight method weight ω ² _j of each evaluation index is:

(3) Subjective and objective combination method

Index weight is a quantitative way to reflect the proportion of each index's role in realizing the predetermined requirements of the object. Determining the weight of indicators can make the evaluation work different from the primary and secondary, and grasp the effect of the main contradiction. In order to make the determined index weights not only consider expert experience, but also combine objective reality, the subjective and objective combination method of Analytic Hierarchy Process and Entropy Weight Method can be used to determine the index weight, that is, the Analytic Hierarchy Process and Entropy Weight Method are used to calculate each sub-item After the indicator weights are determined, the final indicator weights are obtained by combining them according to a certain percentage. The calculation formula of the weight coefficients of each final evaluation index is as follows:

ω＝0.5ω ¹ +0.5ω ²

In the above formula, ω is the weight coefficient vector of the final evaluation index, and ω ¹ and ω ² are the first weight coefficient vector and the second weight coefficient vector respectively.

In this example, due to the large differences in regional economic levels, residents' living standards, social development status, and climate and environmental conditions, the types and reserves of main biomass resources in different typical energy consumption scenarios are quite different, so how to use biomass resources It is more reasonable, and requires a comprehensive evaluation of economy, environmental protection, and energy utilization efficiency. It is necessary to establish a comprehensive value evaluation of modern biomass resource utilization schemes based on the principle of fully consuming biomass resources and adapting to typical energy use scenarios. evaluation index system.

Considering the three aspects of economy, environmental protection and high efficiency, an evaluation system for biomass resource utilization schemes is established. In different typical energy use scenarios such as agricultural parks, the construction funds that can be obtained, the capital investment that can be tolerated, the functional effects that can be realized, and the additional benefits that can be brought are all very different; limited by capital investment and natural resources. Environment, the requirements for environmental protection and resource utilization efficiency are different under different typical energy consumption scenarios. Therefore, it is necessary to evaluate the comprehensive value of biomass resource utilization schemes from various aspects and angles. The present invention adopts the method of establishing a multi-attribute evaluation system, and establishes evaluation indicators of biomass resource utilization schemes.

The present invention adopts a hierarchical multi-attribute index system, and the index for evaluating economic attributes examines the three sub-attributes of resource utilization cost, capital acquisition ability, and operating income, with a total of 11 detailed indexes; the index for evaluating environmental protection attributes examines carbon emissions and harmful substance emissions There are two sub-attributes, with a total of 5 detailed indicators; the index for evaluating the high-efficiency attribute examines the three sub-attributes of resource utilization rate, energy conversion efficiency, and energy convenience, with a total of 7 detailed indicators.

Specifically, the pre-constructed regional biomass resource utilization scheme evaluation index system is a two-level state evaluation system, and the first-level indicators in the pre-constructed regional biomass resource utilization scheme evaluation index system include at least one of the following Types: economic indicators, environmental indicators, and high-efficiency indicators;

The end-level indicators corresponding to the economic indicators include at least one of the following: investment cost, operation cost, maintenance cost, supporting project construction cost, financing rate, subsidy rate, investment/GDP ratio, investment/per capita income ratio , energy saving income, energy sales income, by-product sales income;

The end-level indicators corresponding to the environmental indicators include at least one of the following: carbon dioxide emissions, methane emissions, sulfide emissions, nitrogen oxide emissions, and particulate matter emissions;

The end-level indicators corresponding to the high-efficiency indicators include at least one of the following: resource reserves, biomass treatment equipment installation rate, biomass treatment equipment output rate, biomass energy conversion efficiency, biomass energy supply ratio Ratio, user equipment transformation amount, user equipment transformation cost.

In one embodiment,

Different utilization methods of biomass resources will lead to huge differences in the funds required. In different typical energy consumption scenarios such as agricultural parks, the funds required for the same utilization method will also vary greatly. If a biogas project is used to treat biomass resources, gas turbines and local heating/cooling systems need to be configured for farms and facility agriculture; a supporting pipeline network needs to be built for gas supply or heating in villages where residents gather; the collection and distribution of biomass waste from scattered farmers Transshipment requires high transshipment costs and transshipment energy consumption. How to choose a biomass resource utilization plan, capital demand will be an important decision-making factor, so the cost of resource utilization needs to be measured from four indicators: investment cost, operation cost, maintenance cost and supporting project construction cost.

1) Investment cost

The investment cost includes the purchase cost of the equipment required to process and convert biomass resources into usable energy, the installation cost of the equipment and the construction cost of the project. The calculation method of the investment cost is as follows:

In the formula: CI(A) is the equivalent annual value of the investment cost; _{n is the economic service life; α is the discount rate; m is} the type of equipment; unit investment cost.

2) Operating costs

The operating cost includes the cost of energy used in the process of processing and transforming biomass resources, the cost of collecting and transferring biomass resources, and the cost of operating personnel. The calculation method of operating cost is as follows:

In the formula: CO(A) is the equivalent annual value of the operating cost; co _m is the unit operating cost of the m-type equipment.

3) Overhaul and maintenance costs

The maintenance cost calculation method is as follows:

In the formula: CM(A) is the equivalent annual value of the maintenance cost; cm _m is the unit maintenance cost of the m-class equipment.

4) Construction cost of supporting projects

The construction cost of supporting projects includes the cost of supporting projects for the collection and transportation of biomass resources, the cost of supporting projects for transporting the energy converted from biomass resources to the transmission channels that need to be additionally constructed by users, the cost of supporting projects for the treatment of production residues and processing facilities, and the cost of supporting projects The construction cost calculation method is as follows:

In the formula: CF(A) is the equivalent annual value of the construction cost of supporting projects; N _k is the total amount of supporting engineering equipment of category k; cf _k is the unit investment cost of supporting engineering equipment of category k.

The level of economic and social development in different regions varies greatly, as does the financing capacity and investment affordability. Commercial investment and subsidies for the development and utilization of energy resources are also increasing, and subsidies will also be tilted to regions to consolidate achievements. However, under different typical energy use scenarios, there will still be great differences in loan repayment ability and fund-raising ability, which will significantly affect the choice of biomass resource utilization schemes. The ratio and the investment/per capita income ratio are measured by four indicators.

1) Financing rate

The financing rate calculation method is as follows:

In the formula: B _B is the financing rate; C _B is the available financing (including bank loans, corporate and individual donations and other financing channels).

2) Subsidy rate

The subsidy rate is calculated as follows:

In the formula: B _G is the subsidy rate; C _G is the available financial subsidy.

3) Investment/GDP ratio

The investment/GDP ratio is calculated as follows:

In the formula: B _GDP is the investment/GDP ratio; C _GDP is the local annual gross product.

4) Investment/per capita income ratio

The investment/per capita income ratio is calculated as follows:

In the formula: B _P is the investment/per capita income ratio; C _P is the local annual per capita income.

The clean treatment of biomass resources can not only extract and utilize the biomass energy contained in it, thereby reducing energy purchase costs, but also sell by-products for profit. Based on the cost-benefit analysis method, the incidental benefits of the biomass resource scheme should also be included in the evaluation scope. Therefore, operating income needs to be measured from three indicators: energy saving income, energy sales income, and sales income of by-products.

1) Energy Saving Benefits

The energy-saving income refers to the energy purchase cost reduced by using biomass resources to supply energy instead of commercial energy purchases. The calculation method of energy-saving income is as follows:

In the formula: C _s1 is the energy-saving benefit; W _1i is the total purchase amount of the i-th commercial energy that is reduced due to the use of biomass resources for energy every year; ω _i is the unit price of the i-th commercial energy.

2) Energy sales income

The income from energy sales is the income obtained from the sale of energy after utilizing the production capacity of biomass resources. The calculation method of energy sales income is as follows:

In the formula: C _s2 is the energy-saving benefit; W _2i is the total sales volume of the i-th energy every year; ω _2i is the selling price of the i-th energy.

3) Revenue from sales of by-products

Revenue from sales of by-products refers to the revenue from the sale of commodities (such as fertilizers) after processing the residues after the production capacity of biomass resources. The revenue from sales of by-products is calculated as follows:

In the formula: C _s3 is the sales income of the by-product; W _3i is the total sales volume of the i-th by-product every year; ω _3i is the selling price of the i-th by-product.

Although the carbon in the whole process from production to utilization of biomass resources is carried out in an absorption-emission cycle, the greenhouse effect produced by different resource utilization methods is very different. Among them, the greenhouse effect of methane is dozens of times that of carbon dioxide, and should be avoided as much as possible. It is also an important requirement for environmental protection to treat biomass waste by natural fermentation to reduce methane emissions. Therefore, carbon emissions need to be measured from two indicators: carbon dioxide emissions and methane emissions.

Carbon dioxide emissions include the emissions generated during the processing and processing of biomass resources and the emissions generated during the use of energy products. The calculation formula for the carbon dioxide emissions is as follows:

E _CO2 ＝EA _CO2 +EB _CO2

Methane emissions include the emissions generated during the processing of biomass resources and the emissions generated during the use of energy products. The calculation formula for the methane emissions is as follows:

E _CH4 ＝EA _CH4 +EB _CH4

There are great differences in the types and amounts of harmful substances discharged in the processing and utilization methods of biomass resources. For example, crop straw returning to the field not only emits methane into the air, but also emits sulfide and nitrogen oxides; processing it into solid fuels will emit sulfide, nitrogen oxides, and soot into the air during combustion for energy; small-scale dispersed straw The emission reduction effect of biogas installations is also lower than that of large and medium-sized centralized biogas projects. Different utilization schemes are adopted for various types of biomass wastes, and their cleaning and environmental effects need to be effectively evaluated. Therefore, in terms of resource utilization cleanliness, three indicators of sulfide emissions, nitrogen oxide emissions, and particulate matter emissions need to be used to harm harmful Material row is measured.

The amount of sulfide emissions includes the amount of emissions generated during the processing of biomass resources and the amount of emissions generated during the use of energy products. The calculation formula for the amount of sulfide emissions is as follows:

E _SO2 ＝EA _SO2 +EB _SO2

Nitrogen oxide emissions include the emissions generated during the processing and processing of biomass resources and the emissions generated during the use of energy products. The calculation formula for the nitrogen oxide emissions is as follows:

E _NO =EA _NO +EB _NO

Particulate matter emissions include inhalable particulate matter emissions and other dust particulate matter emissions generated during biomass energy combustion for energy supply. The calculation formula for the particulate matter emissions is as follows:

E _pm =E _pm2.5 +E _pm10

In the above formula, E _CO2 is the total annual carbon dioxide emission, EA _CO2 is the annual carbon dioxide emission during the processing of biomass raw materials, EB _CO2 is the annual carbon dioxide emission for biomass energy combustion, E _CH4 is the annual total methane Emissions, EA _CH4 is the annual methane emission during the processing of biomass raw materials, EB _CH4 is the annual methane emission caused by leakage in the process of biomass energy transmission and use, E _SO2 is the annual total sulfide emission, EA _SO2 is the annual sulfide emissions during the processing of biomass raw materials, EB _SO2 is the annual sulfide emissions from biomass energy combustion for energy, E _NO is the annual total nitrogen oxide emissions, EA _NO is the biomass raw materials The annual nitrogen oxide emission during the processing process, EB _NO is the annual nitrogen oxide emission of biomass energy combustion for energy, E _pm is the annual total particulate matter emission produced in the process of biomass energy combustion for energy, E _{pm2 .5} is the total annual emission of inhalable particulate matter generated during the combustion of biomass energy for energy, and E _pm10 is the total annual dust emission generated during the combustion of biomass energy for energy.

Furthermore, in typical energy use scenarios such as agricultural parks, the types and content of biomass resources vary significantly, and the exploitable ratio, development scale, and development depth of biomass resources are all limited by financial capabilities and natural environmental conditions. Evaluate the utilization degree of biomass resources in terms of scale and handleable scale, and calculate the evaluation indicators of various resource utilization schemes in the form of conversion into a unified dimension. Resource utilization cost needs to be measured from two indicators: resource reserves and biomass treatment equipment installation rate.

Resource reserves include crop straw/firewood reserves, biological excrement reserves, kitchen waste reserves, and combustible waste reserves. The calculation formula for the resource reserves is as follows:

Q _bio ＝Q _pl +Q _an +Q _kw +Q _cw

The installation rate of biomass processing equipment represents the installable capacity of biomass resource processing equipment under the same amount of biomass raw material production, which reflects the processing capacity of biomass resources. The calculation formula for the installation rate of biomass processing equipment is as follows:

Energy is extracted from biomass resources and utilized, and its energy conversion efficiency is an important indicator for evaluating the efficiency of resource utilization schemes. Under the same scale of biomass resources, the difference in the output of different treatment and processing schemes represents the ability of resource utilization schemes to extract energy from biomass; under the same scale of biomass energy, secondary energy (electricity/heating/cold energy) The output of represents the energy utilization rate of the resource utilization scheme. Therefore, the energy conversion efficiency needs to calculate the energy input and output in the form of a unified dimension, and is measured by two indicators: the output rate of biomass treatment equipment and the efficiency of biomass energy conversion.

The output rate of biomass processing equipment represents the daily energy output of biomass resource processing equipment under the same biomass raw material production, which reflects the conversion efficiency of biomass resources into biomass energy. The output rate of biomass processing equipment The calculation formula is as follows:

The biomass energy conversion efficiency characterizes the conversion efficiency when biomass energy is converted into electricity/heat/cold energy, and the calculation formula of the biomass energy conversion efficiency is as follows:

Energy is extracted from biomass resources and utilized. Changes in energy extraction methods will inevitably lead to changes in the way energy is used at the receiving end. Compared with highly random energy sources such as wind power generation, the energy supply of biomass energy is more controllable, so the higher the proportion of energy supplied by local biomass energy in the energy demand, the better the convenience of energy use. Biomass resources The greater the development value. At the same time, energy users need to transform energy-consuming equipment to adapt to changes in energy supply methods, such as replacement of residential stoves, modification or replacement of heating appliances, etc. Both the amount of transformation and the cost of transformation affect the user's willingness to use biomass energy. Therefore, the convenience of energy use needs to be measured from three indicators: the proportion of biomass energy supply, the amount of user equipment transformation, and the cost of user equipment transformation.

The proportion of biomass energy supply represents the proportion of local energy demand supplied by biomass energy. The calculation formula for the proportion of biomass energy supply is as follows:

The transformation amount of user equipment represents the ratio of the number of users who need to replace or transform terminal energy-consuming equipment to the total number of users when the local biomass energy is used for energy supply. The calculation formula for the transformation amount of user equipment is as follows:

The transformation amount of user equipment represents the total cost of replacement or transformation of terminal energy-consuming equipment when local biomass energy is used for energy supply. The calculation formula for the transformation cost of user equipment is as follows:

In the above formula, Q _bio is the total annual yield of biomass resources converted into standard coal, and Q _pl , Q _an , Q _kw , and Q _cw are crop straw/firewood, biological excrement, and kitchen waste converted into standard coal, respectively. The annual total amount of garbage and combustible garbage, η ₁ is the installation rate of biomass treatment equipment, S _i,bio is the installed capacity of the i-th biomass treatment equipment, Q _i,day is the daily average of the i-th biomass raw material Production amount, η ₂ is the output rate of biomass treatment equipment, W _i,bio is the daily energy output of the i-th biomass treatment equipment converted into kWh, Q _i,day is the day of the i-th biomass raw material The average output, η ₃ is the conversion efficiency of biomass energy, Q _j,out is the electricity/heat/cold energy output of the jth energy conversion equipment converted into kW, and Q _j,in is the conversion of the calculation unit is the biomass energy input of the jth energy conversion equipment in kW, η ₄ is the proportion of biomass energy supply, Q _e.bio , Q _h.bio , Q _l.bio , Q _g.bio are the planning area The annual energy supply of electricity, heat, cooling and gas provided by biomass energy, Q _eΣ , Q _hΣ , Q _lΣ , Q _gΣ are the annual demand for electricity, heat, cooling and gas in the planning area respectively, η ₅ user equipment transformation M _bio is the number of users who need to replace or transform terminal energy-consuming equipment _, M is the total number of users in the planning area, the total cost of CC(A) user equipment transformation, etc. or the number of modified users, cc _i is the cost required for the replacement or modification of end-use equipment for each household.

In one embodiment, the present invention quantifies the attribute value of each biomass resource utilization scheme in terms of economy, environmental protection and high efficiency by using the technique for Order Preference by Similarity to an Ideal Solution (TOPSIS). Further combination can obtain its comprehensive value, which can be used to comprehensively evaluate the utilization scheme of biomass resources. Therefore, the comprehensive evaluation value of the regional biomass resource utilization scheme determined based on the index value of each final evaluation index and the weight coefficient of each final evaluation index includes:

Performing trend processing on the index values of each final evaluation index to obtain the index standard value of each final evaluation index;

Determine the evaluation value of the regional biomass resource utilization plan in the pre-constructed regional biomass resource utilization plan evaluation index system for each first-level index based on the standard value of the regional biomass resource utilization plan for each final evaluation index index standard value;

The comprehensive evaluation value of the regional biomass resource utilization plan is determined based on the evaluation values of the first-level indicators in the pre-built regional biomass resource utilization plan evaluation index system of the regional biomass resource utilization plan.

In one embodiment, the calculation formula of the evaluation value of each primary index in the regional biomass resource utilization scheme in the pre-constructed regional biomass resource utilization scheme evaluation index system is as follows:

为区域生物质资源利用方案i在预先构建的区域生物质资源利用方案评价指标体系中第p个一级指标的指标值与第p个一级指标的最劣值之间的欧氏距离，

为区域生物质资源利用方案i在预先构建的区域生物质资源利用方案评价指标体系中第p个一级指标的指标值与第p个一级指标的最优值之间的欧氏距离。In the above formula, v _ip is the evaluation value of the pth first-level index of the regional biomass resource utilization scheme i in the pre-constructed regional biomass resource utilization scheme evaluation index system,

is the Euclidean distance between the index value of the pth first-level index and the worst value of the pth first-level index in the pre-constructed regional biomass resource utilization plan evaluation index system for regional biomass resource utilization scheme i,

is the Euclidean distance between the index value of the pth first-level index and the optimal value of the pth first-level index in the pre-constructed regional biomass resource utilization plan evaluation index system for regional biomass resource utilization scheme i.

In one embodiment, the formula for calculating the comprehensive evaluation value of the regional biomass resource utilization scheme is as follows:

v _ci =∑ _p ω _p v _ip

In the above formula, v _ci is the comprehensive evaluation value of regional biomass resource utilization scheme i, ω _p is the weight coefficient of the pth primary index in the pre-constructed regional biomass resource utilization scheme evaluation index system, p=1,2 ,3.

In an optimal implementation, the steps for value quantification using the TOPSIS method are as follows:

Step 1: The matrix K is composed of all the index values of the biomass resource utilization schemes in each region. The row vector K _i represents the index value of the resource utilization scheme i under different evaluation attributes, and the column vector K _p represents the different resource utilization schemes under the attribute p The index value under;

Step 2: Process K with the same trend, so that the direction of change of the pros and cons of all indicators is consistent. This patent converts all benefit-type indicators into cost-type indicators to obtain a data matrix K', wherein the absolute number is converted by the reciprocal method, and the relative number is converted by the difference method;

Step 3: Standardize K' to obtain a standardized matrix K", to eliminate the impact on the results caused by the dimension and magnitude differences of each index value. The specific processing method is as follows:

In the formula: E _j is the mean value of each data of various resource utilization schemes under index j; D _j is the variance of various biomass resource utilization schemes under index j.

Step 4: Obtain the optimal value and the worst value of resource utilization scheme i in each index under each attribute according to K", and combine them to obtain the optimal scheme K ⁺ and the worst scheme K ^- respectively;

和

Step 5: Use the previous method to obtain the index weights of each layer, and calculate the Euclidean distance between the index value of the i-th resource utilization plan and the optimal plan and the worst plan

and

Step 6: Calculate the relative closeness between each resource utilization plan and the optimal plan, as its corresponding value of economy, environmental protection, and high efficiency. For example, the efficiency value of resource utilization scheme i is:

Step 7: Using the TOPSIS method, the 23 index values of all biomass resource utilization/plans can be uniformly quantified under the three attributes of economy, environmental protection, and high efficiency, and the comprehensive biomass resource utilization scheme can be obtained through calculation. Value matrix V, whose row vector represents the value of resource utilization scheme i under different evaluation attributes, and column vector represents the value of different resource utilization schemes under this attribute.

为资源利用方案i在经济性、环保性和高效性下的价值向量；列向量[v_1p,v_2p,v_3p,…,v_mp]^T为不同资源利用方案在第p种属性下的价值。Where: row vector

is the value vector of resource utilization scheme i under economy, environmental protection and high efficiency; column vector [v _1p ,v _2p ,v _3p ,…,v _mp ] ^T is the value of different resource utilization schemes under attribute p .

Step 8: Use the previous method to obtain the importance weight of the biomass resource utilization scheme in terms of economy, environmental protection and high efficiency, and obtain the comprehensive value V _ci of each resource utilization scheme through weighted combination as follows:

In the formula: ω _p is the importance weight of various resource utilization schemes in terms of economy, environmental protection and high efficiency, p=1,2,3, and

From this, the value evaluation vector Vs of each energy system biomass resource utilization method/scheme that integrates value attributes such as economy, environmental protection, and high efficiency is obtained, and the value ranking of different resource utilization schemes is obtained based on the evaluation value.

According to the comprehensive value of the biomass resource utilization scheme obtained by the TOPSIS method, and according to the value, the comprehensive ranking of the biomass resource utilization scheme can be obtained. According to the ranking, several biomass utilization schemes can be selected as feasible preset schemes; incorporating the preset scheme set into the optimization planning model can provide an important basis for energy supply system planning.

In an optimal implementation, in the S104, the optimal regional biomass resource utilization scheme is used to plan the energy internet for the region, which can be implemented in the following manner:

1. Energy Internet planning strategy

Energy Internet and multi-energy supply system planning should comprehensively consider biomass resource utilization plans based on multiple factors such as biomass resource endowment, basic energy consumption characteristics of production and life, local socio-economic development level, and climate and environmental conditions in typical energy-use scenarios such as agricultural parks. Based on relevant factors such as economy, environmental protection and high efficiency, a multi-objective and multi-constraint optimization planning model is established, and a reasonable and feasible optimization planning scheme is obtained by solving the model. However, directly incorporating the optimization of biomass energy utilization schemes and the optimization of related equipment into the planning model will lead to a surge in influencing factors and related variables, making it difficult to solve, making the optimization planning model only suitable for theoretical research and difficult to apply to energy Internet and multi-energy supply systems planning and construction.

By adopting the comprehensive evaluation index system and comprehensive evaluation method of the biomass resource utilization scheme proposed in this patent, the multi-attribute optimization of the biomass resource utilization scheme can be realized. Several biomass utilization schemes will be selected according to the comprehensive ranking as candidate solution sets, together with the calculation The important parameters of the biomass resource utilization plan, such as energy resource production capacity and energy resource utilization cost, which can be obtained when the index value is obtained, are incorporated into the optimization planning model to form a three-layer energy Internet planning model. The solution space of the biomass resource utilization plan in this model is relatively large It is an effective method to improve the applicability and rationality of the planning scheme because it is small and the difficulty of model solution is reduced.

2. Modeling method of three-tier planning model of Energy Internet

According to the comprehensive value index of the biomass resource utilization plan, a three-tier planning model of the Energy Internet is established by comprehensively considering factors such as the consumption of renewable energy in multi-energy systems, low-carbon emission reduction, and economical efficiency. The upper layer aims to minimize the overall planning cost of the Energy Internet to achieve the final optimization of the biomass resource utilization plan; the middle layer takes the minimum system carbon emissions, the maximum renewable energy consumption, and the minimum annual planning costs of the system as the optimization goals to obtain other energy sources of the Energy Internet. Equipment and its capacity configuration plan; the lower layer aims to minimize the operating cost, and obtains the optimal scheduling plan and operating cost of the Energy Internet under the established planning plan. The target constraints, optimization variables and solution methods of each layer model are shown in Table 1.

Table 1

3. Implementation process of Energy Internet planning based on biomass resource utilization scheme optimization

For typical energy use scenarios such as agricultural parks, analyze factors such as natural resource endowment, basic energy demand for production and life, capital investment capacity, and environmental cleanliness requirements. A small number of feasible schemes are selected by multi-attribute optimization of the biomass resource utilization scheme, and then the set of feasible schemes is incorporated into the planning model, and the energy Internet planning scheme is obtained by solving the planning model. Its implementation process can be divided into the following steps:

1) According to the production type and output of biomass resources in typical energy use scenarios, based on the existing biomass resource energy supply technology, set up a preliminary group of biomass resource utilization schemes;

2) Calculate the economic, environmental protection and high-efficiency indicators of each candidate scheme according to the established comprehensive evaluation index calculation method of the biomass resource utilization scheme;

3) Use the expert scoring method to score various indicators in each plan, and use the method of combining subjectivity and objectivity to solve the weights of each evaluation index at the criterion layer and element layer of each biomass resource utilization plan;

4) Using the approaching ideal solution sorting method (TOPSIS method) to realize the comprehensive ranking of different biomass resource utilization schemes and conduct preliminary screening to obtain the scheme set;

5) According to the comprehensive value index of the biomass resource utilization plan, comprehensively consider the multi-energy system renewable energy consumption, low-carbon emission reduction and economical factors, and establish a three-layer planning model of the energy Internet;

6) Incorporate the solution set of biomass resource utilization schemes together with relevant parameters into the planning model, and obtain the energy Internet planning scheme by solving the planning model.

Example 2

Based on the same inventive concept, the present invention also provides a regional energy Internet planning device, as shown in Figure 2, the regional energy Internet planning device includes:

The obtaining module is used to obtain the index value of each final evaluation index of the regional biomass resource utilization plan in the pre-constructed evaluation index system of the regional biomass resource utilization plan;

The first determination module is configured to determine the weight coefficients of the respective final-level evaluation indexes based on the respective first weight coefficients and second weight coefficients of the respective final-level evaluation indexes;

The second determination module is used to determine the comprehensive evaluation value of the regional biomass resource utilization scheme based on the index value of each final evaluation index and the weight coefficient of each final evaluation index;

The planning module is used to select the optimal regional biomass resource utilization plan in each regional biomass resource utilization plan based on the comprehensive evaluation value of each regional biomass resource utilization plan, and use the optimal regional biomass resource utilization plan to make regional Carry out Energy Internet planning;

Wherein, the first weight coefficient and the second weight coefficient of each final evaluation index in the pre-constructed regional biomass resource utilization scheme evaluation index system are respectively obtained based on the AHP and the entropy weight method.

Preferably, the pre-constructed regional biomass resource utilization scheme evaluation index system is a secondary state evaluation system, and the first-level indicators in the pre-constructed regional biomass resource utilization scheme evaluation index system include at least one of the following Types: economic indicators, environmental indicators, and high-efficiency indicators;

The end-level indicators corresponding to the economic indicators include at least one of the following: investment cost, operation cost, maintenance cost, supporting project construction cost, financing rate, subsidy rate, investment/GDP ratio, investment/per capita income ratio , energy saving income, energy sales income, by-product sales income;

The end-level indicators corresponding to the environmental indicators include at least one of the following: carbon dioxide emissions, methane emissions, sulfide emissions, nitrogen oxide emissions, and particulate matter emissions;

The end-level indicators corresponding to the high-efficiency indicators include at least one of the following: resource reserves, biomass treatment equipment installation rate, biomass treatment equipment output rate, biomass energy conversion efficiency, biomass energy supply ratio Ratio, user equipment transformation amount, user equipment transformation cost.

Further, the calculation formula of the carbon dioxide emission is as follows:

E _CO2 ＝EA _CO2 +EB _CO2

The formula for calculating the amount of methane emissions is as follows:

E _CH4 ＝EA _CH4 +EB _CH4

The formula for calculating the sulfide emission is as follows:

E _SO2 ＝EA _SO2 +EB _SO2

The formula for calculating the emission of nitrogen oxides is as follows:

E _NO =EA _NO +EB _NO

The calculation formula of the particle emission is as follows:

E _pm =E _pm2.5 +E _pm10

In the above formula, E _CO2 is the total annual carbon dioxide emission, EA _CO2 is the annual carbon dioxide emission during the processing of biomass raw materials, EB _CO2 is the annual carbon dioxide emission for biomass energy combustion, E _CH4 is the annual total methane Emissions, EA _CH4 is the annual methane emission during the processing of biomass raw materials, EB _CH4 is the annual methane emission caused by leakage in the process of biomass energy transmission and use, E _SO2 is the annual total sulfide emission, EA _SO2 is the annual sulfide emissions during the processing of biomass raw materials, EB _SO2 is the annual sulfide emissions from biomass energy combustion for energy, E _NO is the annual total nitrogen oxide emissions, EA _NO is the biomass raw materials The annual nitrogen oxide emission during the processing process, EB _NO is the annual nitrogen oxide emission of biomass energy combustion for energy, E _pm is the annual total particulate matter emission produced in the process of biomass energy combustion for energy, E _{pm2 .5} is the total annual emission of inhalable particulate matter generated during the combustion of biomass energy for energy, and E _pm10 is the total annual dust emission generated during the combustion of biomass energy for energy.

Further, the formula for calculating the resource reserves is as follows:

Q _bio ＝Q _pl +Q _an +Q _kw +Q _cw

The formula for calculating the installation rate of the biomass treatment equipment is as follows:

The formula for calculating the output rate of the biomass treatment equipment is as follows:

The calculation formula of the biomass energy conversion efficiency is as follows:

The formula for calculating the energy supply ratio of biomass energy is as follows:

The formula for calculating the modification amount of the user equipment is as follows:

The formula for calculating the modification cost of the user equipment is as follows:

In the above formula, Q _bio is the total annual yield of biomass resources converted into standard coal, and Q _pl , Q _an , Q _kw , and Q _cw are crop straw/firewood, biological excrement, and kitchen waste converted into standard coal, respectively. The annual total amount of garbage and combustible garbage, η ₁ is the installation rate of biomass treatment equipment, S _i,bio is the installed capacity of the i-th biomass treatment equipment, Q _i,day is the daily average of the i-th biomass raw material Production amount, η ₂ is the output rate of biomass treatment equipment, W _i,bio is the daily energy output of the i-th biomass treatment equipment converted into kWh, Q _i,day is the day of the i-th biomass raw material The average output, η ₃ is the conversion efficiency of biomass energy, Q _j,out is the electricity/heat/cold energy output of the jth energy conversion equipment converted into kW, and Q _j,in is the conversion of the calculation unit is the biomass energy input of the jth energy conversion equipment in kW, η ₄ is the proportion of biomass energy supply, Q _e.bio , Q _h.bio , Q _l.bio , Q _g.bio are the planning area The annual energy supply of electricity, heat, cooling and gas provided by biomass energy, Q _eΣ , Q _hΣ , Q _lΣ , Q _gΣ are the annual demand for electricity, heat, cooling and gas in the planning area respectively, η ₅ user equipment transformation M _bio is the number of users who need to replace _or transform terminal energy-consuming equipment, M is the total number of users in the planning area, the total cost of CC(A) user equipment transformation, etc. or the number of modified users, cc _i is the cost required for the replacement or modification of end-use equipment for each household.

Further, the calculation formula of the weight coefficients of each final evaluation index is as follows:

ω＝0.5ω ¹ +0.5ω ²

In the above formula, ω is the weight coefficient vector of the final evaluation index, and ω ¹ and ω ² are the first weight coefficient vector and the second weight coefficient vector respectively.

Further, the determination of the comprehensive evaluation value of the regional biomass resource utilization scheme based on the index value of each final evaluation index and the weight coefficient of each final evaluation index includes:

Performing trend processing on the index values of each final evaluation index to obtain the index standard value of each final evaluation index;

Determine the evaluation value of the regional biomass resource utilization plan in the pre-constructed regional biomass resource utilization plan evaluation index system for each first-level index based on the standard value of the regional biomass resource utilization plan for each final evaluation index index standard value;

The comprehensive evaluation value of the regional biomass resource utilization plan is determined based on the evaluation values of the first-level indicators in the pre-built regional biomass resource utilization plan evaluation index system of the regional biomass resource utilization plan.

Further, the calculation formula of the evaluation value of each first-level index in the pre-constructed regional biomass resource utilization scheme evaluation index system of the regional biomass resource utilization scheme is as follows:

为区域生物质资源利用方案i在预先构建的区域生物质资源利用方案评价指标体系中第p个一级指标的指标值与第p个一级指标的最劣值之间的欧氏距离，

为区域生物质资源利用方案i在预先构建的区域生物质资源利用方案评价指标体系中第p个一级指标的指标值与第p个一级指标的最优值之间的欧氏距离。In the above formula, v _ip is the evaluation value of the pth first-level index of the regional biomass resource utilization scheme i in the pre-constructed regional biomass resource utilization scheme evaluation index system,

is the Euclidean distance between the index value of the pth first-level index and the worst value of the pth first-level index in the pre-constructed regional biomass resource utilization plan evaluation index system for regional biomass resource utilization scheme i,

is the Euclidean distance between the index value of the pth first-level index and the optimal value of the pth first-level index in the pre-constructed regional biomass resource utilization plan evaluation index system for regional biomass resource utilization scheme i.

Further, the formula for calculating the comprehensive evaluation value of the regional biomass resource utilization scheme is as follows:

v _ci =∑ _p ω _p v _ip

In the above formula, v _ci is the comprehensive evaluation value of regional biomass resource utilization scheme i, ω _p is the weight coefficient of the pth primary index in the pre-constructed regional biomass resource utilization scheme evaluation index system, p=1,2 ,3.

Example 3

Based on the same inventive concept, the present invention also provides a computer device, the computer device includes a processor and a memory, the memory is used to store a computer program, the computer program includes program instructions, and the processor is used to execute the Program instructions stored on a computer storage medium. The processor may be a central processing unit (Central Processing Unit, CPU), or other general-purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), off-the-shelf programmable gate arrays ( Field-Programmable GateArray, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc., which are the computing core and control core of the terminal, which are suitable for implementing one or more instructions, and are specifically suitable for loading And execute one or more instructions in the computer storage medium to realize the corresponding method flow or corresponding function, so as to realize the steps of a regional energy Internet planning method in the above-mentioned embodiment.

Example 4

Based on the same inventive concept, the present invention also provides a storage medium, specifically a computer-readable storage medium (Memory). The computer-readable storage medium is a memory device in a computer device for storing programs and data. It can be understood that the computer-readable storage medium here may include a built-in storage medium in the computer device, and of course may also include an extended storage medium supported by the computer device. The computer-readable storage medium provides storage space, and the storage space stores the operating system of the terminal. Moreover, one or more instructions suitable for being loaded and executed by the processor are also stored in the storage space, and these instructions may be one or more computer programs (including program codes). It should be noted that the computer-readable storage medium here may be a high-speed RAM memory, or a non-volatile memory (non-volatile memory), such as at least one magnetic disk memory. One or more instructions stored in the computer-readable storage medium can be loaded and executed by the processor, so as to realize the steps of a regional energy internet planning method in the above-mentioned embodiment.

Those skilled in the art should understand that the embodiments of the present invention may be provided as methods, systems, or computer program products. Accordingly, the present invention can take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may 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.) having computer-usable program code embodied therein.

The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It should be understood that each procedure and/or block in the flowchart and/or block diagram, and a combination of procedures and/or blocks in the flowchart and/or block diagram can be realized by computer program instructions. These computer program instructions may be provided to a general purpose computer, special purpose computer, embedded processor, or processor of other programmable data processing equipment to produce a machine such that the instructions executed by the processor of the computer or other programmable data processing equipment produce a An apparatus for realizing the functions specified in one or more procedures of the flowchart and/or one or more blocks of the block diagram.

These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing apparatus to operate in a specific manner, such that the instructions stored in the computer-readable memory produce an article of manufacture comprising instruction means, the instructions The device realizes the function specified in one or more procedures of the flowchart and/or one or more blocks of the block diagram.

These computer program instructions can also be loaded onto a computer or other programmable data processing device, causing a series of operational steps to be performed on the computer or other programmable device to produce a computer-implemented process, thereby The instructions provide steps for implementing the functions specified in the flow chart or blocks of the flowchart and/or the block or blocks of the block diagrams.

Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: the present invention can still be Any modifications or equivalent replacements that do not depart from the spirit and scope of the present invention shall fall within the protection scope of the claims of the present invention.

Claims (11)

1. A regional energy Internet planning method is characterized by comprising the following steps:

acquiring index values of all final-stage evaluation indexes of a region biomass resource utilization scheme evaluation index system constructed in advance in the region biomass resource utilization scheme;

determining a weight coefficient of each final-stage evaluation index based on a first weight coefficient and a second weight coefficient of each final-stage evaluation index;

determining a comprehensive evaluation value of the regional biomass resource utilization scheme based on the index value of each final-stage evaluation index and the weight coefficient of each final-stage evaluation index;

selecting an optimal regional biomass resource utilization scheme from the regional biomass resource utilization schemes based on the comprehensive evaluation value of the regional biomass resource utilization schemes, and performing energy Internet planning on the region by using the optimal regional biomass resource utilization scheme;

and obtaining a first weight coefficient and a second weight coefficient of each final-stage evaluation index in the pre-constructed regional biomass resource utilization scheme evaluation index system based on an analytic hierarchy process and an entropy weight process respectively.

2. The method of claim 1, wherein the pre-constructed regional biomass resource utilization scheme evaluation index system is a secondary state evaluation system, and the primary indicator in the pre-constructed regional biomass resource utilization scheme evaluation index system comprises at least one of: economic index, environmental index and high-efficiency index;

the final-stage index corresponding to the economic index comprises at least one of the following indexes: investment cost, operation cost, overhaul and maintenance cost, supporting engineering construction cost, capital fusion rate, subsidy rate, investment/GDP rate, investment/per-capita income rate, energy-saving income, energy-selling income and byproduct sales income;

the final-stage index corresponding to the environment type index comprises at least one of the following indexes: carbon dioxide emission, methane emission, sulfide emission, nitrogen oxide emission and particulate matter emission;

the final level index corresponding to the high-efficiency class index comprises at least one of the following indexes: the biomass energy conversion system comprises the following components of resource storage amount, biomass processing equipment installation rate, biomass processing equipment output rate, biomass energy conversion efficiency, biomass energy supply ratio, user equipment modification amount and user equipment modification cost.

3. The method of claim 2, wherein the carbon dioxide emissions are calculated as follows:

E _CO2 ＝EA _CO2 +EB _CO2

the calculation formula of the methane emission is as follows:

E _CH4 ＝EA _CH4 +EB _CH4

the calculation formula of the emission of the sulfide is as follows:

E _SO2 ＝EA _SO2 +EB _SO2

the calculation formula of the emission of the nitrogen oxides is as follows:

E _NO ＝EA _NO +EB _NO

the calculation formula of the particulate matter emission is as follows:

E _pm ＝E _pm2.5 +E _pm10

in the above formula, E _CO2 EA being the total annual carbon dioxide emission _CO2 Annual carbon dioxide emission, EB, in biomass feedstock processing _CO2 Annual carbon dioxide emission for biomass energy combustion _CH4 For the total annual methane emission, EA _CH4 Annual methane emission, EB, in biomass feedstock processing _CH4 Annual methane emission due to leakage and the like in the process of biomass energy transmission and use, E _SO2 EA being the total emission of annual sulfides _SO2 Annual sulphide emission, EB, in biomass feedstock processing _SO2 Annual sulphide emission, E, for the combustion of biomass energy _NO EA being the total emission of nitrogen oxides _NO Annual nitrogen oxide emissions, EB, during processing of biomass feedstock _NO Annual nitrogen oxide emissions, E, for the combustion of biomass energy _pm Annual total particulate matter emission, E, produced during the process of supplying energy for the combustion of biomass energy _pm2.5 Total annual inhalable particulate matter emission, E, generated during the process of supplying energy for biomass energy combustion _pm10 The total annual dust emission generated in the process of supplying energy for biomass energy combustion.

4. The method of claim 2, wherein the resource inventory is calculated as follows:

Q _bio ＝Q _pl +Q _an +Q _kw +Q _cw

the calculation formula of the installation rate of the biomass processing equipment is as follows:

the output rate of the biomass processing equipment is calculated according to the following formula:

the calculation formula of the biomass energy conversion efficiency is as follows:

the calculation formula of the energy supply ratio of the biomass energy sources is as follows:

the calculation formula of the user equipment modification amount is as follows:

the calculation formula of the user equipment reconstruction cost is as follows:

in the above formula, Q _bio For conversion to annual total biomass resource availability, Q, for standard coal _pl 、Q _an 、Q _kw 、Q _cw Are respectively a rotationAnnual total yield, eta, of crop straw/firewood, biological excreta, kitchen waste and combustible waste converted to standard coal ₁ For installation rate of biomass processing equipment, S _i,bio Installation capacity, Q, for biomass processing plant of the ith category _i,day Is the daily average production of the ith biomass feedstock, eta ₂ For biomass processing plant output rate, W _i,bio To convert the units of calculation into the energy of daily production, Q, of a biomass processing plant of the ith type, kWh _i,day Is the daily average yield, eta, of the ith biomass material ₃ For biomass energy conversion efficiency, Q _j,out electric/Heat/Cold energy output quantity, Q, of the jth energy conversion apparatus for converting the calculation unit into kW _j,in To convert the unit of calculation into kW, the biomass energy input, eta of the jth energy conversion apparatus ₄ Energy supply ratio for biomass energy, Q _e.bio 、Q _h.bio 、Q _l.bio 、Q _g.bio Respectively supplying energy Q to electricity, heat, cold and fuel gas provided by biomass energy sources in a planning area in year _eΣ 、Q _hΣ 、Q _lΣ 、Q _gΣ The annual demand, eta, of electricity, heat, cold and gas in the planning area ₅ Amount of modification of user equipment, M _bio The number of users needing to replace or modify the energy equipment of the terminal, M is the total number of users in the planning area, CC (A) the total cost of the modification of the user equipment, and the like, M _bio Number of users, cc, who need to change or modify the energy equipment of the terminal _i The cost required for replacing or transforming the energy utilization equipment of the terminal is carried out for each household.

5. The method according to claim 2, wherein the weight coefficient of each final evaluation index is calculated as follows:

ω＝0.5ω ¹ +0.5ω ²

in the above formula, ω is a weight coefficient vector of the final evaluation index, ω ¹ 、ω ² A first weight coefficient vector and a second weight coefficient vector, respectively.

6. The method of claim 2, wherein determining a comprehensive evaluation value of the regional biomass resource utilization scheme based on the index value of each final evaluation index and the weight coefficient of each final evaluation index comprises:

trending the index values of the evaluation indexes of the last stages to obtain index standard values of the evaluation indexes of the last stages;

determining the evaluation value of each level index of the regional biomass resource utilization scheme in a pre-constructed regional biomass resource utilization scheme evaluation index system based on the index standard value of the regional biomass resource utilization scheme for each final-level evaluation index;

and determining a comprehensive evaluation value of the regional biomass resource utilization scheme based on the evaluation values of the primary indexes of the regional biomass resource utilization scheme in a pre-constructed regional biomass resource utilization scheme evaluation index system.

7. The method of claim 6, wherein the evaluation value of each primary index of the regional biomass resource utilization scheme in the pre-constructed regional biomass resource utilization scheme evaluation index system is calculated by the following formula:

in the above formula, v _ip The evaluation value of the p-th primary index in the pre-constructed regional biomass resource utilization scheme evaluation index system is used for the regional biomass resource utilization scheme i,

according to the regional biomass resource utilization scheme i, the Euclidean distance between the index value of the p-th primary index and the worst value of the p-th primary index in a pre-constructed regional biomass resource utilization scheme evaluation index system,

for regional biomass resource utilization scheme iAnd evaluating the Euclidean distance between the index value of the p-th primary index and the optimal value of the p-th primary index in the index system by the aid of a pre-constructed regional biomass resource utilization scheme.

8. The method of claim 7, wherein the overall evaluation value of the regional biomass resource utilization scheme is calculated as follows:

v _ci ＝∑ _p ω _p v _ip

in the above formula, v _ci Is a comprehensive evaluation value, omega, of a regional biomass resource utilization scheme i _p And evaluating the weight coefficient of the p-th primary index in the index system for the pre-constructed regional biomass resource utilization scheme, wherein p =1,2,3.

9. An regional energy internet planning apparatus, the apparatus comprising:

the system comprises an acquisition module, a calculation module and a calculation module, wherein the acquisition module is used for acquiring index values of all final-stage evaluation indexes of a region biomass resource utilization scheme in a pre-constructed region biomass resource utilization scheme evaluation index system;

a first determining module, configured to determine a weight coefficient of each final evaluation index based on a first weight coefficient and a second weight coefficient of each final evaluation index, respectively;

a second determination module, configured to determine a comprehensive evaluation value of the regional biomass resource utilization scheme based on the index value of each final-stage evaluation index and the weight coefficient of each final-stage evaluation index;

the planning module is used for selecting an optimal regional biomass resource utilization scheme from the regional biomass resource utilization schemes based on the comprehensive evaluation value of the regional biomass resource utilization schemes and planning the energy Internet of the region by using the optimal regional biomass resource utilization scheme;

and obtaining a first weight coefficient and a second weight coefficient of each final-stage evaluation index in the pre-constructed regional biomass resource utilization scheme evaluation index system based on an analytic hierarchy process and an entropy weight process respectively.

10. A computer device, comprising: one or more processors;

the processor to store one or more programs;

the one or more programs, when executed by the one or more processors, implement the regional energy internet planning method of any of claims 1 to 8.

11. A computer-readable storage medium having stored thereon a computer program which, when executed, implements a regional energy internet planning method according to any one of claims 1 to 8.

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