CN113435686A

CN113435686A - Evaluation method and device for heat accumulating type electric heating system

Info

Publication number: CN113435686A
Application number: CN202110467992.9A
Authority: CN
Inventors: 丁恒春; 徐杰彦; 刘蕾; 魏子睿; 张博智; 陈雪敏; 朱婧
Original assignee: State Grid Beijing Comprehensive Energy Planning And Design Institute Co ltd; State Grid Corp of China SGCC; State Grid Jibei Electric Power Co Ltd
Current assignee: State Grid Beijing Comprehensive Energy Planning And Design Institute Co ltd; State Grid Corp of China SGCC; State Grid Jibei Electric Power Co Ltd
Priority date: 2021-04-28
Filing date: 2021-04-28
Publication date: 2021-09-24
Anticipated expiration: 2041-04-28

Abstract

The application provides a method and a device for evaluating a heat accumulating type electric heating system, wherein the method comprises the following steps: acquiring a multidimensional first-level index of a target heat accumulating type electric heating system and a second-level index corresponding to the multidimensional first-level index; according to a pairwise comparison method, the first-level indexes and the second-level indexes, constructing a first-level index judgment matrix and a second-level index judgment matrix corresponding to each second-level index; and (4) applying a preset expert scoring summary list and each secondary index judgment matrix to obtain the evaluation result of each primary index, and finishing the evaluation of the heat accumulating type electric heating system according to the evaluation result of each primary index. The accuracy of confirming the factor that influences heat accumulation formula electric heating equipment application efficiency and benefit can be improved to this application, and then the effect of improving heat accumulation formula electric heating equipment and promoting.

Description

Evaluation method and device for heat accumulating type electric heating system

Technical Field

The application relates to the technical field of electric power, in particular to a method and a device for evaluating a heat accumulating type electric heating system.

Background

At the present stage, the prices of the energy resources of petroleum and natural gas in China still tend to rise, renewable energy almost needs to be converted into electric energy to be utilized, the competitiveness of the electric energy in the terminal energy consumption market is further enhanced, and electric energy substitution projects have more remarkable economic benefits. Under such a background, the heat accumulating type electric heating is a novel heat supply mode under the background of the heat supply project of 'replacing coal with electricity' in China, and is widely popularized by the power department, the government also releases policies to encourage, and people have higher and higher attention.

At present, the popularization of the heat supply project of replacing coal with electricity in China meets a series of bottlenecks, the investment cost is high, the investment recovery period is long, the financing is difficult, relevant subsidy policies are short and unstable, the benefits of all relevant parties are difficult to coordinate, and the like, so that the popularization and the application of the electric heating are hindered. Meanwhile, as the heat accumulating type electric heating belongs to a new industry, the operation management mechanism of a relevant party is not mature in the popularization process, and the economic benefit and the use efficiency of the heat accumulating type electric heating in use are seriously influenced.

Disclosure of Invention

The method and the device for evaluating the heat accumulating type electric heating system can improve the accuracy of determining factors influencing the application efficiency and the benefit of heat accumulating type electric heating equipment, and further can improve the popularization effect of the heat accumulating type electric heating equipment.

In order to solve the technical problem, the present application provides the following technical solutions:

in a first aspect, the present application provides a method for evaluating a heat accumulating type electric heating system, comprising:

acquiring a multidimensional first-level index of a target heat accumulating type electric heating system and a second-level index corresponding to the multidimensional first-level index;

according to a pairwise comparison method, the first-level indexes and the second-level indexes, constructing a first-level index judgment matrix and a second-level index judgment matrix corresponding to each second-level index;

and (4) applying a preset expert scoring summary list and each secondary index judgment matrix to obtain the evaluation result of each primary index, and finishing the evaluation of the heat accumulating type electric heating system according to the evaluation result of each primary index.

Further, the dimensions of the primary index include: a system operation dimension, a user dimension, an economic dimension and a device attribute dimension;

wherein, the second-level index corresponding to the system operation dimension comprises: system operation management organization, system operation management flow, system operation management supervision and system operation management examination;

the secondary indexes corresponding to the user dimension comprise: family structure, income condition, housing area and electricity usage habit;

the secondary indexes corresponding to the economic dimensionality comprise: the investment recovery period, the fluctuation of electricity prices and subsidy policies;

the secondary indexes corresponding to the equipment attribute dimension comprise: rated power of the heat accumulating type electric heating equipment, heat accumulating materials and equipment concentration degree.

Further, the applying a preset expert scoring summary table and each secondary index judgment matrix to obtain an evaluation result of each primary index includes:

applying each secondary index judgment matrix to obtain the weight value of each secondary index;

applying a preset expert scoring summary table and the weighted values of the secondary indexes to obtain the score of each primary index corresponding to each evaluation standard, and taking the evaluation standard with the highest score as the evaluation result of the primary index, wherein the evaluation standards comprise: the influence degree is large, the influence degree is general, the influence degree is small and the influence degree is small.

Further, the method for evaluating a heat accumulating type electric heating system further comprises the following steps:

and outputting and displaying the evaluation result as a primary index with a large influence degree.

In a second aspect, the present application provides a heat accumulating type electric heating system evaluation device, including:

the acquisition module is used for acquiring a multidimensional first-level index of a target heat accumulating type electric heating system and a second-level index corresponding to the multidimensional first-level index;

the construction module is used for constructing a first-level index judgment matrix and a second-level index judgment matrix corresponding to each second-level index according to the pairwise comparison method, the first-level index and the second-level index;

and the evaluation module is used for applying a preset expert scoring summary list and each secondary index judgment matrix to obtain the evaluation result of each primary index so as to finish the evaluation of the heat accumulating type electric heating system according to the evaluation result of each primary index.

Further, the evaluation module is configured to perform the following:

Further, the evaluation device of the heat accumulating type electric heating system further comprises:

and the output module is used for outputting and displaying the evaluation result as a primary index with a large influence degree.

In a third aspect, the present application provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and capable of running on the processor, wherein the processor implements the evaluation method of the regenerative electric heating system when executing the program.

In a fourth aspect, the present application provides a computer-readable storage medium having stored thereon computer instructions that, when executed, implement the regenerative electric heating system evaluation method.

According to the technical scheme, the application provides a method and a device for evaluating a heat accumulating type electric heating system. Wherein, the method comprises the following steps: acquiring a multidimensional first-level index of a target heat accumulating type electric heating system and a second-level index corresponding to the multidimensional first-level index; according to a pairwise comparison method, the first-level indexes and the second-level indexes, constructing a first-level index judgment matrix and a second-level index judgment matrix corresponding to each second-level index; the preset experts are applied to score the summary list and each secondary index judgment matrix to obtain the evaluation result of each primary index, so that the evaluation of the heat accumulating type electric heating system is completed according to the evaluation result of each primary index, the accuracy of determining factors influencing the application efficiency and the benefit of the heat accumulating type electric heating equipment can be improved, and the popularization effect of the heat accumulating type electric heating equipment can be further improved; specifically, against the background of heat accumulating type electric heating to absorb abandoned wind heating, the use efficiency and the benefit of heat accumulating type electric heating equipment can be comprehensively considered from the system operation dimension, the user dimension, the economic dimension and the equipment attribute dimension; the method comprises the steps of evaluating by using a fuzzy comprehensive evaluation method based on an analytic hierarchy process, obtaining factors influencing the use efficiency and the benefit of the heat accumulating type electric heating equipment and weights thereof by using a hierarchical analysis thought, and introducing the fuzzy comprehensive evaluation thought to evaluate and analyze the influence degree of each influencing factor on the use efficiency and the benefit of the equipment on the basis, so that the evaluation result is more objective and accurate, and the method has guiding significance on the operation and popularization of the heat accumulating type electric heating system.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.

FIG. 1 is an architectural diagram of a hierarchy model;

fig. 2 is a schematic flow chart of an evaluation method of a heat accumulating type electric heating system in the embodiment of the application;

FIG. 3 is a flow chart illustrating a system operation cost management process in an application example of the present application;

fig. 4 is a schematic structural diagram of an evaluation device of a heat accumulating type electric heating system in the embodiment of the application;

fig. 5 is a schematic block diagram of a system configuration of an electronic device according to an embodiment of the present application.

Detailed Description

In order to make those skilled in the art better understand the technical solutions in the present specification, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

To facilitate understanding of the present solution, first, description will be made regarding the contents related to the present solution.

Heat accumulation formula electric heating system: the electric heating system is an electric heating system which utilizes low-price electric energy in the valley period of the power grid to complete the conversion and storage of electricity and heat energy, releases the stored heat in a radiation and convection mode in the peak period of the power grid and realizes 24-hour indoor heating all day.

Analytic Hierarchy Process (AHP): the method is a decision-making method which decomposes elements always related to decision-making into a target, a criterion, a scheme and other layers and performs qualitative and quantitative analysis on the basis of the target, the criterion, the scheme and other layers.

Fuzzy comprehensive evaluation method: the fuzzy comprehensive evaluation method is a comprehensive evaluation method based on fuzzy mathematics. The comprehensive evaluation method converts qualitative evaluation into quantitative evaluation according to the membership theory of fuzzy mathematics, namely, fuzzy mathematics is used for making overall evaluation on objects or objects restricted by various factors. The method has the characteristics of clear result and strong systematicness, can better solve the problems of fuzziness and difficult quantization, and is suitable for solving various non-determinacy problems.

Operation Management (Operations Management): the system is a general term for planning, organizing, implementing and controlling the operation process and managing various items closely related to product production and service creation. From another perspective, operations management may also refer to the design, operation, evaluation, and improvement of systems for producing and providing company-major products and services.

Analytic Hierarchy Process (AHP) is a method proposed by the university of pittsburgh operational research, t.l.chair, in the last 70 th century, that is applicable to multi-objective decision-making, combining qualitative and quantitative objectives. The basic architecture of the hierarchical structure model is shown in fig. 1 and is divided into three basic levels, namely a target level, a criterion level and an index level. The target layer A is the highest layer, is the final judgment target of analysis and problem solving or an ideal result which is wanted to be obtained, and generally has only one element; the middle layers below the target layer are criterion layers B1-B3 which are the basis, standard and specification for judging the target, and the layers consist of a plurality of criteria or sub-criteria; the index layers C1-C4 are the lowest layers, and are specific indexes under the constraints of the target layer and the criterion layer, including various decision schemes and measures for achieving the target.

The basic steps of the analytic hierarchy process are as follows:

(1) the problem under study and its scope, the factors involved, and the interrelationship between the factors are determined.

(2) And determining the overall hierarchical structure of the evaluation object, namely a target layer, a criterion layer and an index layer.

(3) And constructing a judgment matrix. Starting from the level 2 of the hierarchical structure model, for the factors of the same level belonging to each factor of the previous level, a judgment matrix is constructed by a pairwise comparison method until the last level.

(4) And determining the weight.

(5) And (5) checking the consistency of the judgment matrix.

Disadvantages of the analytic hierarchy process:

(1) no new solution can be provided for the decision.

The role of the analytic hierarchy process is to select the better from the alternatives. This effect just explains that the analytic hierarchy process can only select from the original schemes, but cannot provide new schemes for the decision maker to solve the problem. When applying analytic hierarchy process, there may be a situation where the effect is not good enough for the enterprise to do, although the best one is selected among many schemes. For most decision makers, it is desirable if an analysis tool can instead manually analyze the best of the known solutions, and then indicate the deficiencies of the known solutions, or even suggest improvements. However, it is clear that this has not been possible with the analytical hierarchy.

(2) The quantitative data is less, the qualitative components are more, the index selection and the evaluation standard are too subjective, and the credibility is not easy to be realized.

In the evaluation of scientific methods today, it is generally accepted that a science requires relatively rigorous mathematical demonstrations and well-established quantitative methods. However, the process of real world problems and human brain considerations is many times not simply numerical. The analytic hierarchy process is a method with a decision mode simulating human brain, has more qualitative colors, is very difficult to check whether a matrix is consistent or not, and has the standard CR <0.1 for checking whether the matrix is consistent or not, and lacks scientific basis.

(3) The problems of ambiguity, uncertainty and the like existing in the management evaluation process cannot be solved, and when indexes are too many, data statistics is large, and the weight is difficult to determine.

Most evaluation targets contain a plurality of fuzzy concepts and fuzzy phenomena, and not every problem is a criterion with clear boundary. The analytic hierarchy process establishes a simpler judgment consistency matrix through pairwise comparison of elements, and is difficult to judge the fuzzy problem. When the universality accuracy of the target problem is improved, more indexes need to be selected. The increase of indexes means that the judgment matrix with deeper layers, more quantity and larger scale is constructed. The work of comparing two by two of many indexes is needed. Because the relative importance of the two-dimensional analysis method is generally described by using 1 to 9 in pairwise comparison, if more and more indexes exist, the judgment of the importance degree between every two indexes is possibly difficult, and even the consistency of the single ordering and the total ordering of the layers is influenced, so that the consistency check cannot pass. The index can not pass through the target, and the target needs to be adjusted, so that the target is difficult to adjust when the number of the indexes is large.

(4) The exact solution of eigenvalues and eigenvectors is complex.

When the eigenvalue and eigenvector of the decision matrix are found, the method used is the same as that used for multivariate statistics. As the index increases, the order increases and becomes more computationally difficult.

Based on this, this application is with heat accumulation formula electric heating to absorb abandon the wind as the background, and the influence factor that influences heat accumulation formula electric heating availability factor and benefit is provided a heat accumulation formula electric heating system evaluation method and device, can help establishing more ripe operation management mechanism, and then promotes the popularization and application of heat accumulation formula electric heating.

In order to improve the accuracy of determining factors influencing the application efficiency and benefits of heat accumulating type electric heating equipment and further improve the popularization effect of the heat accumulating type electric heating equipment, the embodiment of the application provides an evaluation device of a heat accumulating type electric heating system, the evaluation device can be a server or client equipment, and the client equipment can comprise a smart phone, a tablet electronic device, a network set top box, a portable computer, a desktop computer, a Personal Digital Assistant (PDA), vehicle-mounted equipment, intelligent wearable equipment and the like. Wherein, intelligence wearing equipment can include intelligent glasses, intelligent wrist-watch and intelligent bracelet etc..

In practical applications, the evaluation of the regenerative electric heating system may be performed on the server side as described above, or all operations may be performed in the client device. The selection may be specifically performed according to the processing capability of the client device, the limitation of the user usage scenario, and the like. This is not a limitation of the present application. The client device may further include a processor if all operations are performed in the client device.

The client device may have a communication module (i.e., a communication unit), and may be communicatively connected to a remote server to implement data transmission with the server. The server may include a server on the task scheduling center side, and in other implementation scenarios, the server may also include a server on an intermediate platform, for example, a server on a third-party server platform that is communicatively linked to the task scheduling center server. The server may include a single computer device, or may include a server cluster formed by a plurality of servers, or a server structure of a distributed apparatus.

The server and the client device may communicate using any suitable network protocol, including network protocols not yet developed at the filing date of this application. The network protocol may include, for example, a TCP/IP protocol, a UDP/IP protocol, an HTTP protocol, an HTTPS protocol, or the like. Of course, the network Protocol may also include, for example, an RPC Protocol (Remote Procedure Call Protocol), a REST Protocol (Representational State Transfer Protocol), and the like used above the above Protocol.

The following examples are intended to illustrate the details.

In order to improve the accuracy of determining the factors affecting the application efficiency and the benefits of the heat accumulating type electric heating equipment and further improve the popularization effect of the heat accumulating type electric heating equipment, the embodiment provides a heat accumulating type electric heating system evaluation method of which the execution main body is a heat accumulating type electric heating system evaluation device, the heat accumulating type electric heating system evaluation device comprises but is not limited to a server, as shown in fig. 2, and the method specifically comprises the following contents:

step 100: and acquiring multidimensional first-level indexes of the target heat accumulating type electric heating system and corresponding second-level indexes thereof.

Step 200: and constructing a first-level index judgment matrix and a second-level index judgment matrix corresponding to each second-level index according to a pairwise comparison method and the first-level index and the second-level index.

Specifically, for the factors of the same level belonging to each factor of the previous level, a judgment matrix is constructed by means of pairwise comparison until the last level. The degree of lightness compared two by two can be expressed on the scale in table 1:

TABLE 1

The judgment matrix is obtained as follows:

in the formula, a_ijAnd (i, j ═ 1,2,3, …, n) represents the mean of the scores obtained by the i factor versus the j factor.

Step 300: and (4) applying a preset expert scoring summary list and each secondary index judgment matrix to obtain the evaluation result of each primary index, and finishing the evaluation of the heat accumulating type electric heating system according to the evaluation result of each primary index.

Specifically, the preset expert scoring summary table includes: the corresponding relationship between the secondary index and the evaluation standard can be set according to actual needs, and the application is not limited to this.

Wherein the dimensionality of the primary index comprises: a system operation dimension, a user dimension, an economic dimension and a device attribute dimension; the secondary indexes corresponding to the system operation dimensionality comprise: system operation management organization, system operation management flow, system operation management supervision and system operation management examination; the secondary indexes corresponding to the user dimension comprise: family structure, income condition, housing area and electricity usage habit; the secondary indexes corresponding to the economic dimensionality comprise: the investment recovery period, the fluctuation of electricity prices and subsidy policies; the secondary indexes corresponding to the equipment attribute dimension comprise: rated power of the heat accumulating type electric heating equipment, heat accumulating materials and equipment concentration degree.

Specifically, according to the characteristics of the heat accumulating type electric heating absorption and air abandonment heating system, namely the heat accumulating type electric heating system, and by combining the influence of user side demand response on the system operation efficiency and the system benefit, the management evaluation mode considering the equipment use efficiency and the system benefit in the heat accumulating type electric heating absorption and air abandonment system is constructed from the system operation dimension, the economic dimension, the user dimension and the equipment attribute dimension, and the evaluation mode constructed from the four dimensions can be used as an evaluation system of the heat accumulating type electric heating system.

(1) System operation dimension

And (4) system operation management organization. A system operation chief is set for a specific heat accumulating type electric heating, air-removing and air-abandoning heat supply system, and the system operation chief is responsible for approving system operation plan formulation and checking system operation plan implementation; one person is responsible for system operation management and is responsible for specifically making an operation plan, counting the actual operation cost of the system and the deviation reason of the plan cost and the actual cost and making a deviation correction scheme; one person is responsible for the operation of the system, and the system is responsible for specifically implementing the operation plan and the deviation correction scheme, and summarizing and reporting the actual operation cost of the system; and a plurality of project operators are responsible for the specific operation and operation management of each site.

And the second step, system operation management process. The cost management in the operation of the heat accumulating type electric heating system consuming and abandoning wind heating system is taken as an example. Before the heating season starts, the system operation accountability reports a system operation cost consumption plan table according to the cost expense condition in the actual operation period of the previous heating season and the predicted operation condition of the heating season by taking each cell as a unit and according to a time sequence. And the operation cost management supervisor adjusts and supplements the system operation cost consumption schedule according to a system operation cost consumption schedule provided by the system operation accountability, by combining the system operation cost expense in the past year and comparing a plurality of factors such as the weather condition of the heating season, the residence rate of the cell and the like, formulates the operation cost plan of the heating season according to a time sequence and reports the operation cost plan to the system operation chief staff. And the system operation chief manager carries out proportional adjustment control on the system operation cost plan according to the operation cost expense of other similar systems and the actual characteristics of system operation, and finally releases the system operation cost plan as the basis for managing and controlling the operation cost of all the system personnel.

When the heating season operation starts, system operation personnel copy and fill quantifiable operation cost such as electric quantity consumption of each system of a community, manual operation maintenance working hours and the like every day according to requirements and report the quantifiable operation cost to system operation responsibility. The system operation special responsibility summarizes the energy consumption and the labor cost and other operation cost of each station of the system, once a large deviation of the daytime data is found, the reason is found immediately, the error is corrected, the deviation reason and the correction method are filled into an operation cost expense table, and the operation cost expense table is reported to the system operation supervisor. And the system operation supervisor compiles a weekly operation cost expense table according to the daily operation cost expense table, analyzes and compares the weekly operation cost expense table with the system operation cost consumption plan table, accountates the found cost expense deviation, formulates a correction scheme, issues system operation accountability for rectification and modification, and reports the weekly operation cost expense table and the rectification implementation effect to a system operation chief staff. And the system operation master supervisors summarize and compile a monthly operation cost table of the system according to the weekly operation cost table, compare the monthly operation cost table with the plan, explain the cost and expense deviation reasons and corrective measures, report the superior leaders and carry out financial record.

And when the operation of the heating season is finished, the system operation manager collects and compiles a heating season operation cost consumption table, compares the system operation cost consumption plan table, and analyzes and explains the deviation value of the operation cost actual and plan. Except unavoidable cost deviation caused by objective conditions, other human deviation is analyzed for reasons and determines responsible persons, assessment opinions are proposed, and a preventive scheme is formulated according to deviation behaviors which may occur again; for cost reduction caused by artificial reasonable regulation, reward measures are proposed, and a feasible cost optimization method is further discussed and popularized to finally form a heating season operation cost report and report the report to a system operation chief prison. And the project master monitor confirms that a heating season operation cost report is issued, summarizes the heating season operation cost management work, and carries out reward and punishment examination on personnel behaviors in the cost management process. The system operation special duty and the operation personnel compare the operation loss according to the operation cost report of the heating season, fill in the related summary report of the personal operation cost management in a targeted manner, analyze the operation cost adjustment characteristics, summarize the operation experience and improve the personal level. Fig. 3 is a schematic flow chart of a system operation cost management process, and as shown in fig. 3, the system operation cost management includes: predicting the cost; judging whether the cost prediction is reasonable, if so, determining a cost target, and otherwise, executing the cost prediction again; decomposing a cost target; generating a cost plan; judging whether the cost plan is reasonable, if so, executing cost control according to the cost plan, otherwise, generating the cost plan again; judging whether the target cost is deviated from the actual cost, if so, acquiring a deviation correcting measure, otherwise, directly executing cost accounting; checking the deviation rectifying effect; cost accounting; and (5) analyzing the cost.

And thirdly, system operation management supervision. The operation management and supervision work of the heating system needs to be carried out regularly, and one important work is the statistics of cost data. And recording data reflecting the actual cost occurrence in time, accurately and comprehensively, and establishing a bottom-to-top cost report delivery system and system.

Fourthly, system operation management and assessment. The system is free of rules and does not form a square circle, and a good operation management system is a guarantee factor for the healthy operation of the system. For operation management, only the formulation and implementation of operation management targets are needed, and no strict rating and assessment is performed, so that the operation management targets are similar to nominal ones. Therefore, the actual results of the operation management targets must be evaluated and assessed timely and summarized continuously.

(2) User dimension

The influence factors which possibly influence the use efficiency and the benefit of the equipment in the heat accumulating type electric heating air-waste heating system are analyzed from the system operation angle, and through research and analysis, on the side layer of a user, the family structure, the income level, the housing area and the electricity utilization habit factors also influence the demand response participation degree of a heat accumulating type electric heating user so as to indirectly influence the use efficiency and the benefit of the equipment.

(ii) a home configuration. The lifestyle of a residential user determines to a large extent the level of participation in its demand response, usually depending on the age level, the time of work and rest, etc. of the user. For example, for a family with old people (children), the family is generally in a state of being "at home" all day long, and the demand for heat load is large due to the physical state, the life style and the like of the family, and compared with a working family, the load adjustable interval of such users in all time periods is very small, and the demand response capability is weak.

In addition, research finds that some houses are purchased, but the houses are in an empty idle state and used as warehouses, and only the requirement of the lowest heat load needs to be met, so that the demand response capacity of the users is strong.

② income status.

The economic factor is the main driving force of the user participating in demand response, the user responds to the incentive or the electricity price signal to change the original electricity utilization mode, the electricity charge expense is reduced, the response degree is often closely related to the consumption psychology of the user, and the response degree is determined by the income condition. For high-income groups, the demand on comfort degree is the greatest, but the demand is not sensitive to the economy of participating in demand response, and the method belongs to low-response-capability groups; the method comprises the following steps that (1) a medium income group resident user can make budget for heat accumulating type electric heating cost according to household income expenditure, and the group is sensitive to the heat accumulating type electric heating cost and is willing to participate in demand response to obtain economic compensation; while the population resident users with low income have higher sensitivity to the heat storage and electric heating cost, even are willing to sacrifice a certain comfort level to replace economic compensation, and have stronger demand response capability.

And thirdly, the housing area. Besides economic factors, another key factor influencing the response degree of the electric heating load demand is the thermal comfort feeling of the user, namely the smaller the change of the user thermal comfort feeling is, the larger the load response elasticity is, and the larger the demand response participation degree is. Research and analysis find that the house area is a main factor influencing the heat comfort feeling of a user, so that the size of the house area influences the opening or closing of electric heating equipment by the user.

And fourthly, using electricity. Compared with the influence factors of the first three user dimensions, the influence of the electricity utilization habit is the minimum, but the use efficiency and the system benefit of the heat accumulating type electric heating are also indirectly influenced. A good power consumption custom often can play energy-concerving and environment-protective effect, when the temperature is in the interval of the comfortable temperature of heat, closes heat accumulation electric heating equipment consciously, can reduce unnecessary energy resource consumption, increases system's benefit.

(3) Dimension of economy

And (4) investment recovery period. The investment recovery period is the time required by the net income compensation of the project to the total investment (namely the sum of the fixed asset investment and the mobile capital), is an important index for reflecting the investment recovery capacity of the project economy and can reflect the overall economy. The shorter the investment recovery period of the heat accumulating type electric heating air-removing and air-discarding heating system is, the better the economical efficiency of the system is, and the system efficiency and the benefit level can be realized by the length of the investment recovery period. The payback period is related to the initial investment construction costs of the heating system (including the acquisition costs of each equipment and the construction costs of the system) and the cost of maintaining all thermal load demands for a year in a particular area.

② fluctuation of electricity price. At present, the electricity price in China is divided into the price of internet electricity, the price of power transmission and distribution and the price of terminal sale electricity, and the current price of terminal sale electricity is divided into the price of resident electricity, agricultural electricity, industrial and commercial electricity and the like. From the historical electricity price, the electricity price in China has the problems that the electricity consumption of residents is subsidized for industrial and commercial electricity consumption, the electricity consumption of rural areas is subsidized for urban electricity consumption (the electricity consumption of drainage and irrigation in agricultural production is lower than that of residents), the subsidy with high voltage level is low in voltage level and the like. The fluctuation of the electricity price can influence the operation cost of a heat accumulating type electric heating system for absorbing and removing the abandoned wind, and a series of electricity price adjusting schemes are provided for improving the equipment utilization rate of an electric power system, promoting energy conservation and emission reduction, realizing social fairness and perfecting the electric power market in China.

And thirdly, subsidizing policies. In recent years, the price of energy sources at home and abroad continuously fluctuates, under the condition of no support of corresponding energy and environmental protection policies, a new energy power generation system is difficult to compete with a conventional energy power generation system, meanwhile, the construction cost of the heat accumulating type electric heating system is high, the difficulty of system popularization is increased to a certain extent, and the government popularization subsidy policy can make up the expensive construction cost of the heat accumulating type electric heating system and the power generation cost of the new energy power generation system. At present, the common subsidy policies which can be applied to the heat accumulating type electric heating system for eliminating and abandoning wind mainly include equipment subsidy, tax deduction and exemption, power generation subsidy, energy conservation and emission reduction reward, electricity price subsidy and the like.

(4) Device attribute dimension

Rated power of heat accumulating electric heating equipment. The static investment cost of the heat accumulating type electric heating is always in positive correlation with the rated power of the heat accumulating type electric heating, namely the higher the rated power is, the higher the static investment cost is. Meanwhile, the total wind curtailment consumption of the heating system is also related to the rated power of the electric heating equipment.

② a heat storage material. The performance of the heat storage material determines the heat storage and release efficiency of the heat storage electric heating, and at the present stage, the heat storage material applied to the heat storage electric heating is divided into water heat storage and solid heat storage. Compared with water heat storage, the solid heat storage boiler is more sufficient in output than the water heat storage boiler, so that the solid heat storage electric boiler is more reasonable in selection when the heating area is large, such as district independent central heating, large-size market heating and the like.

And thirdly, the concentration degree of the equipment. The aggregation of a large number of heat accumulating type electric heating loads can be used as a very considerable demand response resource, at the present stage, the research of the domestic scholars on the participation of the distributed heat accumulating type electric heating loads in demand response is still at the starting stage, and the domestic research on the aspect has fewer documents. If the electric heating equipment is too dispersed, the aggregation difficulty is increased, the regulation difficulty is increased, and the operation efficiency of the system is influenced, so that the concentration degree of the equipment needs to be considered when the heating system is managed and evaluated.

According to the analysis of the management evaluation indexes of the four dimensions, the use efficiency and the system benefit of the heat storage electric heating equipment are considered, and a hierarchical structure model of the heat storage electric heating waste wind heat absorption heating evaluation indexes shown in the table 2 is obtained.

TABLE 2

To further improve the reliability of the evaluation, in one embodiment of the present application, step 300 comprises:

step 301: and applying each secondary index judgment matrix to obtain the weight value of each secondary index.

Specifically, the eigenvector corresponding to the largest eigenvalue can be found according to the following formula:

Aω＝λ_maxω

the feature vector ω is normalized to obtain an importance ranking of each evaluation index, that is, the weight w of each evaluation index.

Step 302: applying a preset expert scoring summary table and the weighted values of the secondary indexes to obtain the score of each primary index corresponding to each evaluation standard, and taking the evaluation standard with the highest score as the evaluation result of the primary index, wherein the evaluation standards comprise: the influence degree is large, the influence degree is general, the influence degree is small and the influence degree is small.

In order to further improve the reliability of the secondary judgment index matrix, before step 300, the method may further include: and (5) carrying out consistency check on the secondary index judgment matrix, and if the secondary index judgment matrix passes the verification, executing the step 300.

Specifically, the maximum feature root of the judgment matrix and the feature vector corresponding to the maximum feature root can be calculated, and consistency check is performed by using the consistency index, the random consistency index and the consistency ratio. If the verification is passed, the feature vector after the normalization processing is the weight vector; if not, the judgment matrix needs to be reconsidered and constructed. The approximation of the eigenvector is usually considered to be obtained by a summation method or a root method. The consistency check steps are as follows:

1) calculating consistency check index

In the formula, λ_maxTo determine the maximum characteristic root of the matrix, n is the dimension of the determination matrix.

2) Calculating a consistency ratio

Wherein, r.i. is an average random consistency index obtained by judging the matrix calculation 1000 times, and the specific value is shown in table 3. When the C.R. is less than 0.1, judging that the matrix passes consistency test; and when the C.R. is more than 0.1, the consistency check of the judgment matrix fails, and the secondary judgment matrix needs to be modified again.

TABLE 3

In an embodiment of the present application, the method for evaluating a heat accumulating type electric heating system further includes:

In order to further explain the scheme, the application provides an application example of a heat accumulating type electric heating system evaluation method, and in the application example, the heat accumulating type electric heating system evaluation method comprises the following steps:

although the analytic hierarchy process can change the complicated heat accumulating type electric heating absorption and air abandonment management and evaluation problem into a simple problem, the solving process is more orderly. However, the analytic hierarchy process has some disadvantages, and cannot solve the problems of ambiguity and uncertainty in the management and evaluation process. Therefore, the application example introduces fuzzy thought on the basis of the analytic hierarchy process and combines AHP with fuzzy comprehensive evaluation. The fuzzy comprehensive evaluation method based on the analytic hierarchy process fully reflects the problems of fuzziness and uncertainty in evaluation, and enables the evaluation result to be more accurate and reliable.

The basic idea of fuzzy comprehensive evaluation is as follows: and (3) comprehensively considering all factors related to the evaluation method of the heat-accumulated electric heating system by using a fuzzy linear transformation principle and a maximum membership degree principle. And comprehensively evaluating each index of the index layer, and transmitting the index to the target layer to finally obtain a comprehensive evaluation result.

And evaluating the objective things by adopting a fuzzy comprehensive evaluation method. Firstly, the subjectivity of people in the evaluation process can be avoided; secondly, the fuzzy phenomenon encountered by the target can be avoided.

Evaluating the index system in the upper section by using a fuzzy comprehensive evaluation method based on an analytic hierarchy process, wherein the method comprises the following specific steps:

firstly, a pairwise comparison method is adopted for the first-level indexes of management evaluation of heat accumulating type electric heating absorption and abandoned air heating, and a judgment matrix A is constructed. In the same way, a decision matrix of the primary index layer can be obtained, as shown in table 4. The decision matrices of the secondary index layer are shown in tables 5 to 8.

TABLE 4

λ_max4.1144, c.i. ═ 0.0381, c.r. ═ 0.0424 <0.1, by consistency test.

TABLE 5

λ_max4.0816, c.i. ═ 0.0272, c.r. ═ 0.0302 <0.1, by consistency test.

TABLE 6

λ_max4.0340, c.i. ═ 0.0113, c.r. ═ 0.0126 <0.1, by consistency test.

TABLE 7

λ_max3.0183, c.i. ═ 0.0091, c.r. ═ 0.0158 <0.1, by identity test.

TABLE 8

λ_max3.0037, c.i.: 0.0018, c.r.: 0.0032 <0.1, by consistency test.

The weights of the indexes at each level obtained by the analytic hierarchy process are summarized as shown in table 9.

TABLE 9

Secondly, establishing an evaluation matrix of a secondary evaluation index by adopting a fuzzy comprehensive evaluation method, wherein the establishment of the evaluation matrix is an important link for determining the accuracy of a secondary fuzzy comprehensive evaluation resultAiming at the characteristics of a heat accumulating type electric heating air-removing and air-abandoning heating system, an industry expert scoring method is adopted to score evaluation indexes, the evaluation set considers the influence degree of each evaluation index on the use efficiency of heat accumulating type electric heating equipment and the system benefit, and a 5-dimensional evaluation set is adopted

The evaluation indexes respectively correspond to the influences of large, general, small and small on the system. The fuzzy comprehensive evaluation part consults seventeen related experts in the related field and finishes the consultation to obtain the rating condition of the experts as shown in a table 10.

Watch 10

The summary table is divided into four dimensions to be normalized, and a system operation dimension management evaluation matrix R is obtained respectively₁And a user dimension management evaluation matrix R₂Economic dimension management evaluation matrix R₃And a device attribute dimension management evaluation matrix R₄。

In the management evaluation of the heat accumulating type electric heating air-waste heat-absorbing heating system, the influence of different indexes on the use efficiency and the benefit of system equipment needs to be comprehensively considered, so that the fuzzy comprehensive operation can be carried out by adopting a full-factor weighted average type fuzzy synthesis operator. Each evaluation index has certain contribution to an evaluation target according to the weight of the evaluation index, and the operation process is as follows:

(1) carrying out fuzzy comprehensive evaluation on the secondary indexes of the system operation dimensionality:

and (3) fuzzy comprehensive evaluation results of secondary indexes of system operation dimensionality: the degree of membership for "very large" was 6.21%, the degree of membership for "very large" was 31.98%, the degree of membership for "normal" was 50.07%, the degree of membership for "small" was 4.22%, and the degree of membership for "very small" was 7.53%. According to the maximum membership principle, the influence of the system operation dimension on the service efficiency and the benefit of the heat accumulating type electric heating absorption wind-abandoning heating system equipment is obtained.

(2) Carrying out fuzzy comprehensive evaluation on the user dimension secondary indexes:

user dimensionality secondary index fuzzy comprehensive evaluation results: the degree of membership for "very large" was 52.05%, the degree of membership for "very large" was 23.73%, the degree of membership for "normal" was 17.70%, the degree of membership for "small" was 6.51%, and the degree of membership for "very small" was 0. According to the maximum membership principle, the influence of the user dimension on the service efficiency and the benefit of the heat accumulating type electric heating absorption wind-abandoning heating system equipment is obtained.

(3) Carrying out fuzzy comprehensive evaluation on the secondary indexes of the economic dimensionality:

the economic dimensionality secondary index fuzzy comprehensive evaluation result is as follows: the degree of membership for "very large" was 5.16%, the degree of membership for "very large" was 57.36%, the degree of membership for "normal" was 25.68%, the degree of membership for "small" was 10.36%, and the degree of membership for "very small" was 1.44%. According to the maximum membership principle, the economic dimensionality is obtained to greatly influence the service efficiency and the benefit of the heat accumulating type electric heating absorption wind-abandoning heating system equipment.

(4) Carrying out fuzzy comprehensive evaluation on the secondary indexes of the equipment attribute dimension:

and (3) fuzzy comprehensive evaluation results of equipment attribute dimension secondary indexes: the degree of membership for "very large" was 3.81%, the degree of membership for "very large" was 1.35%, the degree of membership for "normal" was 24.25%, the degree of membership for "small" was 57.47%, and the degree of membership for "very small" was 13.12%. According to the maximum membership principle, the obtained equipment attribute dimension has small influence on the service efficiency and benefit of the heat accumulating type electric heating absorption wind-abandoning heating system equipment.

In terms of software, in order to improve the accuracy of determining factors affecting the application efficiency and benefits of the heat accumulating type electric heating equipment and further improve the popularization effect of the heat accumulating type electric heating equipment, the application provides an embodiment of a heat accumulating type electric heating system evaluation device for realizing all or part of contents in the heat accumulating type electric heating system evaluation method, and referring to fig. 4, the heat accumulating type electric heating system evaluation device specifically includes the following contents:

the acquisition module 10 is used for acquiring a multidimensional first-level index of a target heat accumulating type electric heating system and a second-level index corresponding to the multidimensional first-level index;

the construction module 20 is configured to construct a primary index judgment matrix and a secondary index judgment matrix corresponding to each secondary index according to the pairwise comparison method, the primary index and the secondary index;

and the evaluation module 30 is used for scoring the summary list and each secondary index judgment matrix by using a preset expert to obtain the evaluation result of each primary index so as to complete the evaluation of the heat accumulating type electric heating system according to the evaluation result of each primary index.

In an embodiment of the present application, the evaluation module is configured to perform the following:

In an embodiment of the present application, the evaluation device for a heat accumulating type electric heating system further includes:

The embodiment of the evaluation device for a heat accumulating type electric heating system provided in this specification can be specifically used for executing the processing flow of the embodiment of the evaluation method for a heat accumulating type electric heating system, and the functions thereof are not described herein again, and reference can be made to the detailed description of the embodiment of the evaluation method for a heat accumulating type electric heating system.

According to the above description, the method and the device for evaluating the heat accumulating type electric heating system can improve the accuracy of determining the factors influencing the application efficiency and the benefit of the heat accumulating type electric heating equipment, and further can improve the popularization effect of the heat accumulating type electric heating equipment; specifically, against the background of heat accumulating type electric heating to absorb abandoned wind heating, the use efficiency and the benefit of heat accumulating type electric heating equipment can be comprehensively considered from the system operation dimension, the user dimension, the economic dimension and the equipment attribute dimension; the method comprises the steps of evaluating by using a fuzzy comprehensive evaluation method based on an analytic hierarchy process, obtaining factors influencing the use efficiency and the benefit of the heat accumulating type electric heating equipment and weights thereof by using a hierarchical analysis thought, and introducing the fuzzy comprehensive evaluation thought to evaluate and analyze the influence degree of each influencing factor on the use efficiency and the benefit of the equipment on the basis, so that the evaluation result is more objective and accurate, and the method has guiding significance on the operation and popularization of the heat accumulating type electric heating system.

In terms of hardware, in order to improve the accuracy of determining factors affecting the application efficiency and benefits of the heat accumulating type electric heating equipment and further improve the popularization effect of the heat accumulating type electric heating equipment, the application provides an embodiment of an electronic device for realizing all or part of contents in the heat accumulating type electric heating system evaluation method, and the electronic device specifically includes the following contents:

a processor (processor), a memory (memory), a communication Interface (Communications Interface), and a bus; the processor, the memory and the communication interface complete mutual communication through the bus; the communication interface is used for realizing information transmission between the heat accumulating type electric heating system evaluation device, the user terminal and other related equipment; the electronic device may be a desktop computer, a tablet computer, a mobile terminal, and the like, but the embodiment is not limited thereto. In this embodiment, the electronic device may be implemented by referring to the embodiment for implementing the method for evaluating a heat accumulating type electric heating system and the embodiment for implementing the device for evaluating a heat accumulating type electric heating system in the embodiments, and the contents thereof are incorporated herein, and repeated details are not repeated.

Fig. 5 is a schematic block diagram of a system configuration of an electronic device 9600 according to an embodiment of the present application. As shown in fig. 5, the electronic device 9600 can include a central processor 9100 and a memory 9140; the memory 9140 is coupled to the central processor 9100. Notably, this FIG. 5 is exemplary; other types of structures may also be used in addition to or in place of the structure to implement telecommunications or other functions.

In one or more embodiments of the present application, the regenerative electric heating system evaluation function may be integrated into the central processor 9100. The central processor 9100 may be configured to control as follows:

step 100: acquiring a multidimensional first-level index of a target heat accumulating type electric heating system and a second-level index corresponding to the multidimensional first-level index;

step 200: according to a pairwise comparison method, the first-level indexes and the second-level indexes, constructing a first-level index judgment matrix and a second-level index judgment matrix corresponding to each second-level index;

From the above description, the electronic equipment provided by the embodiment of the application can improve the accuracy of determining the factors influencing the application efficiency and the benefits of the heat accumulating type electric heating equipment, and further improve the popularization effect of the heat accumulating type electric heating equipment.

In another embodiment, the evaluation device of the heat accumulating type electric heating system may be configured separately from the central processor 9100, for example, the evaluation device of the heat accumulating type electric heating system may be configured as a chip connected to the central processor 9100, and the evaluation function of the heat accumulating type electric heating system is realized by the control of the central processor.

As shown in fig. 5, the electronic device 9600 may further include: a communication module 9110, an input unit 9120, an audio processor 9130, a display 9160, and a power supply 9170. It is noted that the electronic device 9600 also does not necessarily include all of the components shown in fig. 5; further, the electronic device 9600 may further include components not shown in fig. 5, which may be referred to in the art.

As shown in fig. 5, a central processor 9100, sometimes referred to as a controller or operational control, can include a microprocessor or other processor device and/or logic device, which central processor 9100 receives input and controls the operation of the various components of the electronic device 9600.

The memory 9140 can be, for example, one or more of a buffer, a flash memory, a hard drive, a removable media, a volatile memory, a non-volatile memory, or other suitable device. The information relating to the failure may be stored, and a program for executing the information may be stored. And the central processing unit 9100 can execute the program stored in the memory 9140 to realize information storage or processing, or the like.

The input unit 9120 provides input to the central processor 9100. The input unit 9120 is, for example, a key or a touch input device. Power supply 9170 is used to provide power to electronic device 9600. The display 9160 is used for displaying display objects such as images and characters. The display may be, for example, an LCD display, but is not limited thereto.

The memory 9140 can be a solid state memory, e.g., Read Only Memory (ROM), Random Access Memory (RAM), a SIM card, or the like. There may also be a memory that holds information even when power is off, can be selectively erased, and is provided with more data, an example of which is sometimes called an EPROM or the like. The memory 9140 could also be some other type of device. Memory 9140 includes a buffer memory 9141 (sometimes referred to as a buffer). The memory 9140 may include an application/function storage portion 9142, the application/function storage portion 9142 being used for storing application programs and function programs or for executing a flow of operations of the electronic device 9600 by the central processor 9100.

The memory 9140 can also include a data store 9143, the data store 9143 being used to store data, such as contacts, digital data, pictures, sounds, and/or any other data used by an electronic device. The driver storage portion 9144 of the memory 9140 may include various drivers for the electronic device for communication functions and/or for performing other functions of the electronic device (e.g., messaging applications, contact book applications, etc.).

The communication module 9110 is a transmitter/receiver 9110 that transmits and receives signals via an antenna 9111. The communication module (transmitter/receiver) 9110 is coupled to the central processor 9100 to provide input signals and receive output signals, which may be the same as in the case of a conventional mobile communication terminal.

Based on different communication technologies, a plurality of communication modules 9110, such as a cellular network module, a bluetooth module, and/or a wireless local area network module, may be provided in the same electronic device. The communication module (transmitter/receiver) 9110 is also coupled to a speaker 9131 and a microphone 9132 via an audio processor 9130 to provide audio output via the speaker 9131 and receive audio input from the microphone 9132, thereby implementing ordinary telecommunications functions. The audio processor 9130 may include any suitable buffers, decoders, amplifiers and so forth. In addition, the audio processor 9130 is also coupled to the central processor 9100, thereby enabling recording locally through the microphone 9132 and enabling locally stored sounds to be played through the speaker 9131.

According to the description, the electronic equipment provided by the embodiment of the application can improve the accuracy of determining the factors influencing the application efficiency and the benefits of the heat accumulating type electric heating equipment, and further improve the popularization effect of the heat accumulating type electric heating equipment.

An embodiment of the present application further provides a computer-readable storage medium capable of implementing all the steps in the evaluation method of a regenerative electric heating system in the above embodiment, where the computer-readable storage medium stores a computer program, and the computer program, when executed by a processor, implements all the steps of the evaluation method of a regenerative electric heating system in the above embodiment, for example, the processor implements the following steps when executing the computer program:

As can be seen from the above description, the computer-readable storage medium provided in the embodiment of the present application can improve the accuracy of determining the factors that affect the application efficiency and the benefits of the heat accumulating type electric heating device, and further improve the popularization effect of the heat accumulating type electric heating device.

In the present application, each embodiment of the method is described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. Reference is made to the description of the method embodiments.

As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application 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, and the like) having computer-usable program code embodied therein.

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

The principle and the implementation mode of the present application are explained by applying specific embodiments in the present application, and the description of the above embodiments is only used to help understanding the method and the core idea of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.

Claims

1. A method for evaluating a heat accumulating type electric heating system is characterized by comprising the following steps:

2. A regenerative electric heating system evaluation method as claimed in claim 1 wherein the primary index dimension comprises: a system operation dimension, a user dimension, an economic dimension and a device attribute dimension;

3. The evaluation method of a regenerative electric heating system according to claim 1, wherein the step of obtaining the evaluation result of each primary index by using a preset expert scoring summary table and each secondary index judgment matrix comprises:

4. The evaluation method of a regenerative electric heating system according to claim 1, further comprising:

5. A heat accumulating type electric heating system evaluation device is characterized by comprising:

6. A regenerative electric heating system evaluation device as claimed in claim 5, wherein the primary index dimension comprises: a system operation dimension, a user dimension, an economic dimension and a device attribute dimension;

7. A regenerative electric heating system evaluation device as claimed in claim 5, wherein the evaluation module is configured to perform the following:

8. The evaluation device of a regenerative electric heating system according to claim 5, further comprising:

9. An electronic device comprising a memory, a processor and a computer program stored in the memory and operable on the processor, wherein the processor implements the method of evaluating a regenerative electric heating system according to any of claims 1 to 4 when executing the program.

10. A computer readable storage medium having stored thereon computer instructions, wherein said instructions when executed implement the regenerative electric heating system evaluation method of any of claims 1 to 4.