CN112036761A - Method for constructing comprehensive energy system evaluation index system based on roof photovoltaic - Google Patents

Method for constructing comprehensive energy system evaluation index system based on roof photovoltaic Download PDF

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CN112036761A
CN112036761A CN202010925147.7A CN202010925147A CN112036761A CN 112036761 A CN112036761 A CN 112036761A CN 202010925147 A CN202010925147 A CN 202010925147A CN 112036761 A CN112036761 A CN 112036761A
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刘松
蔡小雨
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North China Electric Power University
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    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Electricity, gas or water supply
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
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    • Y02P90/82—Energy audits or management systems therefor
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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Abstract

The method for constructing the comprehensive energy system evaluation index system based on the roof photovoltaic comprises the following steps: establishing a comprehensive energy system based on roof photovoltaic, which comprises a roof photovoltaic power generation unit, a combined cooling heating and power supply unit and an external network power supply unit; establishing comprehensive evaluation indexes of a comprehensive energy system based on the roof photovoltaic, wherein the comprehensive evaluation indexes comprise a first-level economic level index, a first-level technical level index and a first-level energy efficiency level index; establishing a plurality of second-level evaluation indexes under each first-level layer index; calculating the weight of the comprehensive evaluation index by combining an analytic hierarchy process and an entropy weight method to obtain the weight of each evaluation index in the second-level evaluation index; and verifying by adopting a coefficient of variation method to finally obtain the weight distribution of the comprehensive energy system evaluation system. The invention establishes a two-stage evaluation index system, improves the comprehensiveness and objectivity of the evaluation index system, combines an analytic hierarchy process and an entropy weight method to determine the weight coefficient, improves the quality of the evaluation index system result, and has stronger application prospect.

Description

Method for constructing comprehensive energy system evaluation index system based on roof photovoltaic
Technical Field
The invention relates to the field of operation evaluation of a comprehensive energy system, in particular to a method for constructing a comprehensive energy system evaluation index system based on roof photovoltaic.
Background
And comprehensively evaluating the comprehensive energy system, and determining the quality of an index system as a basis, wherein the quality selected by the index system determines the quality of an evaluation result to a certain extent. The evaluation index system is composed of a plurality of related or unrelated evaluation indexes according to a certain logic level, is one of the most important tools for evaluators to carry out evaluation work, and is an indispensable link for connecting an evaluation method with an evaluated object. Only by establishing a scientific and reasonable evaluation index system, a scientific and reasonable evaluation result can be obtained.
The comprehensive energy system is a multi-energy-flow system, and comprehensive evaluation of the comprehensive energy system needs not only aiming at multiple energy sources contained in the system, but also reflecting the operation conditions of all sides of the system from different angles. And judging whether the design of the comprehensive energy system is reasonable or not, and providing an evaluation analysis criterion and an evaluation method. On one hand, the traditional energy system evaluation system usually has the defects of singleness and regional limitation, so that the application place and the application accuracy of the system need to be improved; on the other hand, the existing comprehensive energy evaluation system has the advantages of energy diversity and regional specificity, but the adopted subjective weighting method has the defects of strong subjectivity, limited problem solving capability and the like, and in addition, the control mode, the operation characteristics and the like have great differences.
Disclosure of Invention
The invention aims to overcome the defects of a traditional evaluation system and provide a method for constructing a comprehensive energy system evaluation index system based on rooftop photovoltaic, eight secondary evaluation indexes are defined from three aspects of economic level, technical level and energy efficiency level, an objective weighting method combining an analytic hierarchy process and an entropy weight method is adopted to determine index weight coefficients, and a variation coefficient method is used for verification, so that the quality of an evaluation result is improved.
The technical scheme of the invention is as follows: the method for constructing the comprehensive energy system evaluation index system based on the roof photovoltaic comprises the following steps:
step one, building a comprehensive energy system based on roof photovoltaic
The comprehensive energy system based on the roof photovoltaic comprises a roof photovoltaic power generation unit, a combined cooling heating and power supply unit and an external network power supply unit, wherein the roof photovoltaic power generation unit is composed of a plurality of photovoltaic arrays which are respectively paved on the roofs of floors; the combined cooling heating and power unit is a combined supply system taking a gas turbine as a generator set and comprises the gas turbine, a waste heat boiler and an absorption refrigerator; the external grid power supply unit is used for purchasing power to an external large power grid, and the external large power grid directly supplies power to a cold load and a heat load after being subjected to voltage reduction by a transformer.
Step two, establishing comprehensive evaluation indexes of the comprehensive energy system based on the roof photovoltaic
The comprehensive evaluation index is a two-stage evaluation index, and the first-stage evaluation index comprises an economic level index, a technical level index and an energy efficiency level index; specifically, the economic level indexes comprise unit power generation cost and incremental investment static recovery period, the technical level indexes comprise system performance, feasibility and coverage rate of an energy information acquisition system, and the energy efficiency level indexes comprise utilization rate of a comprehensive energy system, proportion of clean energy and energy saving rate; the unit power generation cost, the incremental investment static recovery period, the system performance, the feasibility, the coverage rate of the energy consumption information acquisition system, the utilization rate of the comprehensive energy system, the clean energy ratio and the energy saving rate are second-level evaluation indexes of the comprehensive energy system based on the roof photovoltaic.
The calculation formula of the unit power generation cost is as follows:
Figure BDA0002668203520000021
wherein: ceThe total engineering cost for constructing the comprehensive energy system comprises construction and installation, and the unit is ten thousand yuan; ccThe unit is ten thousand yuan for purchasing the equipment fee of the comprehensive energy system; cyThe unit is ten thousand yuan for the operation cost in the operation period of the comprehensive energy system; syThe unit of the total generated energy in the operation period of the comprehensive energy system is kWh.
The calculation formula of the incremental investment static recovery period is as follows:
Figure BDA0002668203520000031
wherein: incremental investment static recovery period t definitionThe time required for the incremental cost of the construction period is compensated for the revenue generated by energy conservation during the operation of the integrated energy system. CrThe unit of incremental investment required by the cold and hot electric quantity output by the comprehensive energy system is element; f. oftAnd fnThe annual operating costs of the traditional separate production system and the comprehensive energy system are respectively in yuan.
The calculation formula of the system energy supply reliability of the system performance is as follows:
Figure BDA0002668203520000032
wherein: phinSupplying energy to the system with reliability, wherein n is each energy form in the comprehensive energy system, and is electricity, heat and cold respectively; xnThe average energy losing time of the energy n is expressed in the unit of hour/household; t isnThe supply time of the energy source n is in hours.
The calculation formula of the coverage rate of the energy consumption information acquisition system is as follows:
Figure BDA0002668203520000033
wherein, VnThe coverage rate of the energy information acquisition system for the energy source n; c. CnThe number of users covered by the energy information acquisition system for the energy n is the unit of a user; cnThe number of users covered by the energy n information acquisition system in the target system is the unit of a user.
The calculation formula of the utilization rate of the comprehensive energy system is as follows:
Figure BDA0002668203520000041
wherein eta is the ratio of the total energy consumption and the total energy supply of the comprehensive energy system. KnThe energy used by the target system comprises electricity consumption, heat consumption and cold consumption, and the unit is kWh; pnThe energy supply for the target system comprises power supply quantity, heat supply quantity and cold supply quantity, and the unit is kWh.
The calculation formula of the clean energy ratio is as follows:
Figure BDA0002668203520000042
wherein σ refers to the ratio of the energy contributed by the clean energy source to the energy used by the target system, QpRefers to the energy contributed by photovoltaics as a clean energy source, KnThe nth energy utilized for the target system.
The calculation formula of the energy saving rate is as follows:
Figure BDA0002668203520000043
wherein: the energy saving rate θ is the ratio of the energy saved to the total energy consumed by the conventional production division system. E0The total energy consumed by the traditional separate production system is the sum of the energy consumed by the gas boiler, the electric refrigerator and the power grid, and E1 is the sum of the electric quantity purchased from the power grid and the natural gas energy purchased from a gas company in the operation process of the integrated energy system.
Step three, calculating the comprehensive evaluation index weight by combining an analytic hierarchy process and an entropy weight method
Firstly, the subjective weight of a first-level evaluation index is calculated by using an analytic hierarchy process, then the weight coefficient of a second-level evaluation index is obtained by using an entropy weight process, and finally the weight of each evaluation index in the second-level evaluation index is obtained by combining the weight of the analytic hierarchy process and the weight of the entropy weight process.
Step four, verifying by adopting a coefficient of variation method
The calculation formula of the variation coefficient of each evaluation index is as follows:
Figure BDA0002668203520000051
wherein σnThe standard deviation of the nth index is,
Figure BDA0002668203520000052
is the nth index average.
The weight of each evaluation index is:
Figure BDA0002668203520000053
and calculating the weight matrixes of all the experts, and if the judgment matrixes of the experts do not accord with consistency detection, rejecting corresponding data to finally obtain the weight distribution of the comprehensive energy system evaluation system.
The further technical scheme of the invention is as follows: the specific process of the third step comprises the following steps:
(1) constructing a comparison matrix: comparing the importance of the ith element and the jth element relative to the previous layer, and quantifying the relative importance as Cij. Assuming that m elements are compared, the formed comparison matrix is R, wherein the central symmetric elements in the comparison matrix are reciprocal
Figure BDA0002668203520000054
The elements on the main diagonal in the comparison matrix are all 1, i.e. cij1, for C in the matrixijAnd carrying out assignment.
The specific form of the comparison matrix is as follows:
Figure BDA0002668203520000055
(2) check matrix consistency
Calculating the characteristic vector W and the characteristic root lambda of the comparison matrix R, firstly calculating the product of each row of elements of the comparison matrix
Figure BDA0002668203520000056
Wherein: miFor comparing the products of the elements of each row of the matrix, cijAre elements in a comparison matrix; the n-th root of the product of the elements in each row is then calculated:
Figure BDA0002668203520000061
then to vector
Figure BDA0002668203520000062
Normalization treatment:
Figure BDA0002668203520000063
wherein: w ═ W1，W2，...，Wm]TIs the eigenvector of the comparison matrix; the maximum feature root of the comparison matrix is then calculated:
Figure BDA0002668203520000064
wherein: lambda [ alpha ]maxTo compare the maximum characteristic root of the matrix, (AW)iThe i-th element representing the vector AW; and finally, calculating a consistency index of the comparison matrix:
Figure BDA0002668203520000065
wherein: the smaller the CI value, the better the consistency of the constructed comparison matrix, and the larger the CI value, the worse the consistency of the comparison matrix.
(3) Weight coefficient of second-level evaluation index obtained by entropy weight method
Let the information entropy E of the jth indexjComprises the following steps:
Figure BDA0002668203520000066
wherein j is 1, 2, 3, 4, 5, 6, 7, 8.
Using information entropy values EjCalculating the degree of deviation d of the index jjAnd using the degree of deviation d of the indexjDetermining a correction factor lambdajThe calculation formula is as follows:
Figure BDA0002668203520000067
correcting the coefficient mu by each indexjAnd correcting the initial weight coefficient W found by the analytic hierarchy processjTo find the entropy weight methodPositive weight coefficient thetajThe calculation formula is as follows:
Figure BDA0002668203520000068
wherein mujAs an index correction factor, WjInitial weighting factor, theta, determined for the modified analytic hierarchy processjThe weight coefficient is the weight coefficient after the entropy weight method is modified.
Compared with the prior art, the invention has the following characteristics:
(1) according to the comprehensive evaluation index system, the comprehensive evaluation index system is established from a plurality of angle economic levels, technical levels and energy efficiency levels based on the comprehensive energy system of the roof photovoltaic, and the comprehensiveness and objectivity of the evaluation index system are improved.
(2) The invention selects an objective weighting method combining an analytic hierarchy process and an entropy weight method to determine the index weight coefficient, and adopts a variation coefficient method to verify, thereby improving the quality of the result of the evaluation index system.
The detailed structure of the present invention will be further described with reference to the accompanying drawings and the detailed description.
Drawings
FIG. 1 is a diagram of the comprehensive evaluation index system of the comprehensive energy system of the present invention;
FIG. 2 is a schematic diagram of the comprehensive evaluation index system of the comprehensive energy system.
Detailed Description
The embodiments described below are only a part of the embodiments of the present invention, and not all of them. 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 invention.
In a first embodiment, as shown in fig. 1-2, a method for constructing a comprehensive energy system evaluation index system based on rooftop photovoltaic includes the following steps:
step one, building a comprehensive energy system based on roof photovoltaic
The comprehensive energy system based on the roof photovoltaic comprises a roof photovoltaic power generation unit, a combined cooling heating and power supply unit and an external network power supply unit, wherein the roof photovoltaic power generation unit is composed of a plurality of photovoltaic arrays which are respectively paved on the roof of a floor, so that the cold load and the heat load in the floor can be conveniently supplied with power nearby; the combined cooling heating and power supply unit is a combined supply system taking a gas turbine as a generator set, comprises the gas turbine, a waste heat boiler and an absorption refrigerator, and provides power for cold load and heat load; the external grid power supply unit is used for purchasing power to an external large power grid, and the external large power grid directly supplies power to a cold load and a heat load after being subjected to voltage reduction by a transformer. Through the combined action of the roof photovoltaic power generation unit, the combined cooling, heating and power supply unit and the external network power supply unit, the reliability of power supply is ensured.
Step two, establishing comprehensive evaluation indexes of the comprehensive energy system based on the roof photovoltaic
The comprehensive evaluation index is a two-stage evaluation index, and the first-stage evaluation index comprises an economic level index, a technical level index and an energy efficiency level index. Specifically, the economic level indexes comprise unit power generation cost and incremental investment static recovery period, the technical level indexes comprise system performance, feasibility and energy consumption information acquisition system coverage rate, and the energy efficiency level indexes comprise comprehensive energy system utilization rate, clean energy ratio and energy saving rate. The unit power generation cost, the incremental investment static recovery period, the system performance, the feasibility, the coverage rate of the energy consumption information acquisition system, the utilization rate of the comprehensive energy system, the clean energy ratio and the energy saving rate are second-level evaluation indexes of the comprehensive energy system based on the roof photovoltaic.
The calculation formula of the unit power generation cost is as follows:
Figure BDA0002668203520000081
wherein: ceThe total engineering cost for constructing the comprehensive energy system comprises construction and installation, and the unit is ten thousand yuan; ccThe unit is ten thousand yuan for purchasing the equipment fee of the comprehensive energy system; cyFor in-situ synthesis of energy systemThe unit of the operation cost in the operation period is ten thousand yuan; syThe unit of the total generated energy in the operation period of the comprehensive energy system is kWh.
The calculation formula of the incremental investment static recovery period is as follows:
Figure BDA0002668203520000082
wherein: the incremental investment static recovery period t is defined as the time required for the revenue generated by energy saving during the operation of the integrated energy system to offset the incremental cost of the construction period. CrThe unit of incremental investment required by the cold and hot electric quantity output by the comprehensive energy system is element; f. oftAnd fnThe annual operating costs of the traditional separate production system and the comprehensive energy system are respectively in yuan.
The calculation formula of the system energy supply reliability of the system performance is as follows:
Figure BDA0002668203520000091
wherein: phinSupplying energy to the system with reliability, wherein n is each energy form in the comprehensive energy system, and is electricity, heat and cold respectively; xnThe average energy losing time of the energy n is expressed in the unit of hour/household; t isnThe supply time of the energy source n is in hours.
The calculation formula of the coverage rate of the energy consumption information acquisition system is as follows:
Figure BDA0002668203520000092
wherein, VnThe coverage rate of the energy information acquisition system for the energy source n; c. CnThe number of users covered by the energy information acquisition system for the energy n is the unit of a user; cnThe number of users covered by the energy n information acquisition system in the target system is the unit of a user.
The calculation formula of the utilization rate of the comprehensive energy system is as follows:
Figure BDA0002668203520000093
wherein eta is the ratio of the total energy consumption and the total energy supply of the comprehensive energy system. KnThe energy consumption for the target system comprises electricity consumption, heat consumption and cold consumption, and the unit is kWh. PnThe energy supply for the target system comprises power supply quantity, heat supply quantity and cold supply quantity, and the unit is kWh.
The calculation formula of the clean energy ratio is as follows:
Figure BDA0002668203520000094
wherein σ refers to the ratio of the energy contributed by the clean energy source to the energy used by the target system, QpRefers to the energy contributed by photovoltaics as a clean energy source, KnThe nth energy utilized for the target system.
The calculation formula of the energy saving rate is as follows:
Figure BDA0002668203520000101
wherein: the energy saving rate θ is the ratio of the energy saved to the total energy consumed by the conventional production division system. E0The total energy consumed by the traditional separate production system is the sum of the energy consumed by the gas boiler, the electric refrigerator and the power grid, and E1 is the sum of the electric quantity purchased from the power grid and the natural gas energy purchased from a gas company in the operation process of the integrated energy system.
Step three, calculating the comprehensive evaluation index weight by combining an analytic hierarchy process and an entropy weight method
Firstly, the subjective weight of a first-level evaluation index is calculated by using an analytic hierarchy process, and then the weight coefficient of a second-level evaluation index is obtained by using an entropy weight method by using the thought of transfer entropy. The weight determination ideas of the analytic hierarchy process and the entropy weight method are combined, the cognition and analysis of an evaluator on an evaluation object are integrated, objective information reflected on the basis of actual data is realized, and subjective and objective factors are combined to obtain the weight of each evaluation index in the second-level evaluation index. The method specifically comprises the following steps:
(1) constructing a comparison matrix: comparing the importance of the ith element and the jth element relative to the previous layer, and quantifying the relative importance as Cij. Assuming that m elements are compared, the formed comparison matrix is R, wherein the central symmetric elements in the comparison matrix are reciprocal
Figure BDA0002668203520000102
The elements on the main diagonal in the comparison matrix are all 1, i.e. cij1, for C in the matrixijAnd carrying out assignment.
The specific form of the comparison matrix is as follows:
Figure BDA0002668203520000103
(2) check matrix consistency
When the weight vector under the single criterion is calculated, consistency check must be carried out, namely consistency of judgment thinking of decision makers is kept. The consistency degree of the comparison matrix is checked by using the characteristic root change of the comparison matrix.
And calculating the feature vector W and the feature root lambda of the comparison matrix R. First, the product of each row of elements of the comparison matrix is calculated
Figure BDA0002668203520000111
Wherein: miFor comparing the products of the elements of each row of the matrix, cijAre elements in a comparison matrix; the n-th root of the product of the elements in each row is then calculated:
Figure BDA0002668203520000112
then to vector
Figure BDA0002668203520000113
Normalization treatment:
Figure BDA0002668203520000114
wherein: w ═ W1，W2，...，Wm]TIs the eigenvector of the comparison matrix; the maximum feature root of the comparison matrix is then calculated:
Figure BDA0002668203520000115
wherein: lambda [ alpha ]maxTo compare the maximum characteristic root of the matrix, (AW)iThe i-th element representing the vector AW; and finally, calculating a consistency index of the comparison matrix:
Figure BDA0002668203520000116
wherein: the smaller the CI value, the better the consistency of the constructed comparison matrix, and the larger the CI value, the worse the consistency of the comparison matrix.
(3) Weight coefficient of second-level evaluation index obtained by entropy weight method
Let the information entropy E of the jth indexjComprises the following steps:
Figure BDA0002668203520000117
wherein j is 1, 2, 3, 4, 5, 6, 7, 8;
using information entropy values EjCalculating the degree of deviation d of the index jjAnd using the degree of deviation d of the indexjDetermining a correction factor lambdajThe calculation formula is as follows:
Figure BDA0002668203520000118
correcting the coefficient mu by each evaluation indexjAnd correcting the initial weight coefficient W found by the analytic hierarchy processjTo find the weight coefficient theta after modification by the entropy weight methodjThe calculation formula is as follows:
Figure BDA0002668203520000121
wherein mujAs an index correction factor, WjInitial weighting factor, theta, determined for the modified analytic hierarchy processjThe weight coefficient is the weight coefficient after the entropy weight method is modified.
Step four, verifying by adopting a coefficient of variation method
The larger the difference of the values of the indexes is, the more the information content contained in the indexes is, the larger the occupied weight is, and the CV can be used as a verification method.
The calculation formula of the variation coefficient of each evaluation index is as follows:
Figure BDA0002668203520000122
wherein σnThe standard deviation of the nth index is,
Figure BDA0002668203520000123
is the nth index average.
The weights of the indexes are as follows:
Figure BDA0002668203520000124
and combining the weight matrix of the first-level index to obtain an expert comprehensive energy system evaluation system. And (5) analogizing the steps to obtain the weight matrixes of all experts. And if the judgment matrix of an expert does not accord with the consistency detection, eliminating corresponding data, and finally obtaining the weight distribution of the comprehensive energy system evaluation system.

Claims (2)

1. The method for constructing the comprehensive energy system evaluation index system based on the roof photovoltaic is characterized by comprising the following steps: the method comprises the following steps:
step one, building a comprehensive energy system based on roof photovoltaic
The comprehensive energy system based on the roof photovoltaic comprises a roof photovoltaic power generation unit, a combined cooling heating and power supply unit and an external network power supply unit, wherein the roof photovoltaic power generation unit is composed of a plurality of photovoltaic arrays which are respectively paved on the roofs of floors; the combined cooling heating and power unit is a combined supply system taking a gas turbine as a generator set and comprises the gas turbine, a waste heat boiler and an absorption refrigerator; the external grid power supply unit is used for purchasing power to an external large power grid, and the external large power grid directly supplies power to a cold load and a heat load after being subjected to voltage reduction by a transformer;
step two, establishing comprehensive evaluation indexes of the comprehensive energy system based on the roof photovoltaic
The comprehensive evaluation index is a two-stage evaluation index, and the first-stage evaluation index comprises an economic level index, a technical level index and an energy efficiency level index; specifically, the economic level indexes comprise unit power generation cost and incremental investment static recovery period, the technical level indexes comprise system performance, feasibility and coverage rate of an energy information acquisition system, and the energy efficiency level indexes comprise utilization rate of a comprehensive energy system, proportion of clean energy and energy saving rate; the unit power generation cost, the incremental investment static recovery period, the system performance, the feasibility, the coverage rate of an energy consumption information acquisition system, the utilization rate of a comprehensive energy system, the clean energy ratio and the energy saving rate are second-level evaluation indexes of the comprehensive energy system based on the roof photovoltaic;
the calculation formula of the unit power generation cost is as follows:
Figure FDA0002668203510000011
wherein: ceThe total engineering cost for constructing the comprehensive energy system comprises construction and installation, and the unit is ten thousand yuan; ccThe unit is ten thousand yuan for purchasing the equipment fee of the comprehensive energy system; cyThe unit is ten thousand yuan for the operation cost in the operation period of the comprehensive energy system; syThe unit of total generated energy is kWh in the operation period of the comprehensive energy system;
the calculation formula of the incremental investment static recovery period is as follows:
Figure FDA0002668203510000021
wherein: the incremental investment static recovery period t is defined as the time required for the revenue generated by energy saving during the operation of the integrated energy system to offset the incremental cost of the construction period. CrThe unit of incremental investment required by the cold and hot electric quantity output by the comprehensive energy system is element; f. oftAnd fnThe annual operating costs of the traditional separate production system and the comprehensive energy system are respectively in the unit of yuan;
the calculation formula of the system energy supply reliability of the system performance is as follows:
Figure FDA0002668203510000022
wherein: phinSupplying energy to the system with reliability, wherein n is each energy form in the comprehensive energy system, and is electricity, heat and cold respectively; xnThe average energy losing time of the energy n is expressed in the unit of hour/household; t isnThe supply time of the energy n is in hours;
the calculation formula of the coverage rate of the energy consumption information acquisition system is as follows:
Figure FDA0002668203510000023
wherein, VnThe coverage rate of the energy information acquisition system for the energy source n; c. CnThe number of users covered by the energy information acquisition system for the energy n is the unit of a user; cnThe number of users covered by the energy n information acquisition system in the target system is defined as a user;
the calculation formula of the utilization rate of the comprehensive energy system is as follows:
Figure FDA0002668203510000024
wherein eta is the ratio of the total energy consumption and the total energy supply of the comprehensive energy system. KnThe energy consumption for the target system comprises power consumption, heat consumption and cold consumptionThe bit is kWh; pnSupplying energy to a target system, wherein the energy comprises power supply quantity, heat supply quantity and cold supply quantity, and the unit is kWh;
the calculation formula of the clean energy ratio is as follows:
Figure FDA0002668203510000031
wherein σ refers to the ratio of the energy contributed by the clean energy source to the energy used by the target system, QpRefers to the energy contributed by photovoltaics as a clean energy source, KnAn nth energy utilized for the target system;
the calculation formula of the energy saving rate is as follows:
Figure FDA0002668203510000032
wherein: the energy saving rate theta is the ratio of the energy saving to the total energy consumed by the conventional production division system, E0The total energy consumed by the traditional separate production system is the sum of the energy consumed by the gas boiler, the electric refrigerator and the power grid, and E1 is the sum of the electric quantity purchased from the power grid and the natural gas energy purchased from a gas company in the operation process of the comprehensive energy system;
step three, calculating the comprehensive evaluation index weight by combining an analytic hierarchy process and an entropy weight method
Firstly, calculating subjective weight of a first-level evaluation index by using an analytic hierarchy process, then obtaining weight coefficient of a second-level evaluation index by using an entropy weight method, and finally combining the weights of the analytic hierarchy process and the entropy weight method to obtain the weight of each evaluation index in the second-level evaluation index;
step four, verifying by adopting a coefficient of variation method
The calculation formula of the variation coefficient of each evaluation index is as follows:
Figure FDA0002668203510000033
wherein σnThe standard deviation of the nth index is,
Figure FDA0002668203510000041
is the nth index average;
the weight of each evaluation index is:
Figure FDA0002668203510000042
and calculating the weight matrixes of all the experts, and if the judgment matrixes of the experts do not accord with consistency detection, rejecting corresponding data to finally obtain the weight distribution of the comprehensive energy system evaluation system.
2. The method for constructing the comprehensive energy system evaluation index system based on the rooftop photovoltaic as claimed in claim 1, wherein the method comprises the following steps: the specific process of the third step comprises the following steps:
(1) constructing a comparison matrix: comparing the importance of the ith element and the jth element relative to the previous layer, and quantifying the relative importance as Cij. Assuming that m elements are compared, the formed comparison matrix is R, wherein the central symmetric elements in the comparison matrix are reciprocal
Figure FDA0002668203510000043
The elements on the main diagonal in the comparison matrix are all 1, i.e. cij1, for C in the matrixijCarrying out assignment;
the specific form of the comparison matrix is as follows:
Figure FDA0002668203510000044
(2) check matrix consistency
Calculating the characteristic vector W and the characteristic root lambda of the comparison matrix R, firstly calculating the product of each row of elements of the comparison matrix
Figure FDA0002668203510000045
Wherein: miFor comparing the products of the elements of each row of the matrix, cijAre elements in a comparison matrix; the n-th root of the product of the elements in each row is then calculated:
Figure FDA0002668203510000046
then to vector
Figure FDA0002668203510000051
Normalization treatment:
Figure FDA0002668203510000052
wherein: w ═ W1，W2，...，Wm]TIs the eigenvector of the comparison matrix; the maximum feature root of the comparison matrix is then calculated:
Figure FDA0002668203510000053
wherein: lambda [ alpha ]maxTo compare the maximum characteristic root of the matrix, (AW)iThe i-th element representing the vector AW; and finally, calculating a consistency index of the comparison matrix:
Figure FDA0002668203510000054
wherein: the smaller the CI value is, the better the consistency degree of the constructed comparison matrix is, and the larger the CI is, the worse the consistency degree of the comparison matrix is;
(3) weight coefficient of second-level evaluation index obtained by entropy weight method
Let the information entropy E of the jth indexjComprises the following steps:
Figure FDA0002668203510000055
wherein j is 1, 2, 3, 4, 5, 6, 7, 8;
using information entropy values EjCalculating the degree of deviation d of the index jjAnd using the degree of deviation d of the indexjDetermining a correction factor lambdajThe calculation formula is as follows:
Figure FDA0002668203510000056
correcting the coefficient mu by each indexjAnd correcting the initial weight coefficient W found by the analytic hierarchy processjTo find the weight coefficient theta after modification by the entropy weight methodjThe calculation formula is as follows:
Figure FDA0002668203510000057
wherein mujAs an index correction factor, WjInitial weighting factor, theta, determined for the modified analytic hierarchy processjThe weight coefficient is the weight coefficient after the entropy weight method is modified.
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