Method for constructing comprehensive evaluation index system of comprehensive energy system

Abstract

The invention relates to the field of power distribution network operation and optimization, in particular to a method for constructing a comprehensive evaluation index system of a comprehensive energy system. The comprehensive evaluation index system framework is a secondary evaluation system composed of five primary indexes, namely a safety evaluation index, a reliability evaluation index, an economy evaluation index, a demand side evaluation index and an environmental protection evaluation index; calculating each second-level index in the first-level indexes; according to the construction method for the comprehensive evaluation index system of the comprehensive energy system, the index weight is measured and calculated through an analytic hierarchy process, the comprehensive energy system is comprehensively evaluated, and the comprehensive evaluation index system of the comprehensive energy system can be comprehensively evaluated.

Description

Technical Field

[0001] The present invention belongs to the field of distribution network operation and optimization, and specifically relates to a method for constructing a comprehensive evaluation index system for an integrated energy system. Background Art

[0002] In recent years, as governments of various countries have successively introduced policies to promote energy transformation, the development of integrated energy systems has received more and more attention. Against this background, a large number of integrated energy system projects have begun to be built and put into use. Many topics on integrated energy systems have become research hotspots, among which the evaluation of integrated energy systems has received much attention. Before the actual construction of integrated energy system projects, it is necessary to conduct a comprehensive evaluation of multiple system design schemes, and the evaluation results will serve as an important basis for selecting the best one.

[0003] As the basis of comprehensive evaluation, the construction of the index system is related to whether the final evaluation results are accurate, and must be objective, reasonable and comprehensive. At the same time, with the current large-scale construction of integrated energy system projects, many decision makers need to make decisions on engineering plans quickly and efficiently, which makes it very important to develop a set of highly applicable index systems. However, most studies only consider unilateral evaluation or evaluation of a few indicators, and most evaluation methods only achieve a single subjective or objective evaluation. Summary of the invention

[0004] In order to solve the problem that the existing integrated energy system lacks a comprehensive evaluation method, the present invention proposes a method for constructing a comprehensive evaluation index system for an integrated energy system, which can comprehensively evaluate the integrated energy system.

[0005] The technical solution of the present invention is as follows:

[0006] A method for constructing a comprehensive evaluation index system for an integrated energy system, the method being as follows:

[0007] Step 1: Establish a comprehensive evaluation index system framework for the integrated energy system. The comprehensive evaluation index system framework is a secondary evaluation system consisting of five primary indicators: safety evaluation index, reliability evaluation index, economic evaluation index, demand-side evaluation index, and environmental evaluation index;

[0008] Step 2: Calculate each secondary index in the primary index;

[0009] Step 3: Calculate the indicator weights through the hierarchical analysis method and conduct a comprehensive evaluation of the integrated energy system.

[0010] Preferably, the safety evaluation index has three secondary indicators, specifically: power grid safety index, heat network safety index and natural gas network safety index;

[0011] The reliability evaluation index has five secondary indicators, including the system average outage duration index, the system average outage frequency index, the user average outage time, the shortage index and the energy supply reliability rate;

[0012] The economic evaluation index has two secondary indicators, including system equipment utilization and primary energy utilization efficiency;

[0013] The demand-side evaluation index has three secondary indicators, including line load rate, energy information collection system coverage rate and maximum load transfer capacity;

[0014] The environmental protection evaluation index has two secondary indicators, including the reduction of gas pollutant emissions and the environmental value of emission reduction.

[0015] Preferably, step 2 is specifically:

[0016] Calculation of safety evaluation indicators, including:

[0017] The calculation of the power grid security index is:

[0018]

[0019] C 11 =1-η vd (twenty four)

[0020] Among them, η vd is the voltage offset rate; V cr 、T cr 、V cxt and k are the bus voltage deviation reference value, the allowable time for voltage to exceed the reference value, the extreme value of bus voltage in transient process, and the conversion factor of critical voltage deviation duration into frequency; C 11 It is an indicator of power grid security;

[0021] The calculation of the heating network safety index is:

[0022]

[0023] Among them, R(t) is the safety index of the heating network; Q(t), Q, ΔQ j ,ω i They represent the actual system function quality characteristic function, the heat supply in good condition, the amount of heat supply cut-off when the heating network components are damaged, and the pipeline and valve fault flow parameters respectively;

[0024] The calculation of the natural gas network security index is:

[0025]

[0026] Among them, f g is the safety index of natural gas network; n, D(xij ) represent the total number of samples and the system state x in the time period respectively. ij Duration of H(x ij ) is the load loss probability indicator function;

[0027] Calculation of reliability evaluation indicators, including:

[0028] The calculation of the system average outage duration indicator is:

[0029]

[0030] Wherein, SAID is the average outage duration indicator of the system; N i Indicates the number of users at the network load point; U i represents the average outage duration of load point i;

[0031] The calculation of the system average outage frequency index is:

[0032]

[0033] Where SAIF is the system average outage frequency index; λ i represents the average failure rate of load point i; N i represents the total number of users at load point i;

[0034] The average outage time for users is calculated as:

[0035]

[0036] Among them, CAID is the average outage time of users; N i Indicates the number of users at the network load point; U i represents the average power outage duration of load point i; λ i represents the average failure rate of load point i;

[0037] The calculation of the shortage index is:

[0038]

[0039] Among them, ENS is the shortage index; L a(i) represents the average load at load point i; U i represents the average outage duration of load point i;

[0040] The calculation of energy supply reliability is:

[0041]

[0042] Among them, ASA is the energy supply reliability rate; N i Indicates the number of users at the network load point; Ui represents the average outage duration of load point i;

[0043] Calculation of economic evaluation indicators, including:

[0044] The calculation of system equipment utilization is:

[0045]

[0046] Among them: ζ, J i，m , T i，m , G im They represent the equipment utilization rate, the operating time h when equipment m provides energy i, the planned operating time h when equipment m provides energy i, and the energy supplied by equipment m to energy i;

[0047] The calculation of primary energy efficiency is:

[0048]

[0049] Among them, η, W, Q1, Q2, Q L They represent primary energy utilization efficiency, net output electricity, annual effective waste heat heating, annual effective waste heat cooling, annual low calorific value of gas, annual gas effective energy, and annual coal effective energy respectively;

[0050] The calculation of demand-side evaluation indicators includes:

[0051] The line load factor is calculated as:

[0052]

[0053] Among them, γ i is the line load rate; I i，o is the average load of the line; I i，max is the maximum load of the line;

[0054] The calculation of the coverage rate of the energy consumption information collection system is:

[0055]

[0056] Among them, v i represents the coverage rate of the energy information collection system when the i-th energy is applied; i represents various forms of energy, including heat energy, electrical energy and cold energy; c i represents the number of users covered by the i-th energy consumption information collection system; C i It represents the total number of load users corresponding to energy i in the comprehensive energy system;

[0057] The maximum load transfer capacity is calculated as:

[0058]

[0059] In formula (14), q, P q0 , q , are the devices in the nodes corresponding to the energy conversion device set on the network, the annual growth rate of the load at node q, and the maximum input power allowed by the device at node q; in formula (15), is the device conversion efficiency at node q;

[0060] Calculation of environmental performance evaluation indicators, including:

[0061] The calculation of gas pollutant emission reduction is:

[0062] o=Lf u +Lf x (38)

[0063] Among them, o, L, f u 、f x They are respectively the reduction in gaseous pollutant emissions, the total electricity consumption during the time period, the reduction coefficient of sulfur dioxide emissions and the reduction coefficient of nitrogen dioxide emissions;

[0064] The calculation of the environmental value of emission reduction is:

[0065]

[0066] Among them, V i ,n,Q i，c , Q i.dg , Q dg They respectively represent the environmental value of the reduction of the ith pollutant, the type of pollutant, the emission of the ith pollutant from the coal-fired power generation unit, the emission of the ith pollutant from the distributed power generation unit, and the clean energy power generation.

[0067] Preferably, in step 3, the indicator weights are calculated by the analytic hierarchy process, specifically:

[0068] Determine the relative importance of each factor and establish the same target layer B according to expert opinions i Next pairwise index judgment matrix C ij , the expression is as follows:

[0069]

[0070] The consistency test of the judgment matrix is ​​carried out, and the weight of each layer of indicators is sorted in a hierarchical manner, that is, according to the judgment matrix C ij Calculate its characteristic roots and eigenvectors, the expressions are as follows:

[0071] C ij W=λ max W (41)

[0072] Among them, λ max C ij The largest characteristic root of W corresponds to λ max The normalized eigenvector of W, the component W i That is, the weight of the corresponding factor single ranking;

[0073] To check the consistency of the matrix, we need to calculate its consistency index CI, which is expressed as follows:

[0074]

[0075] Among them, λ max C ij The largest characteristic root of ij The order of

[0076] The calculated indicator weight value data is used for consistency check. When the order is greater than 2, the ratio of the judgment matrix consistency index to the average random consistency index of the same order is called the random consistency ratio of the judgment matrix. The matrix consistency index is marked as CR, and the expression is as follows:

[0077]

[0078] When the calculated CR value is less than 0.01, the judgment matrix has satisfactory consistency, otherwise the judgment matrix needs to be adjusted;

[0079] On the basis of judging whether the matrix satisfies consistency, the sum of each row vector of the matrix is ​​averaged and normalized to obtain the weight W. i , the expression is as follows:

[0080]

[0081] in, is the matrix C ij The average value of each row vector;

[0082]

[0083] Preferably, in step 3, the comprehensive evaluation of the integrated energy system is specifically:

[0084] Calculate the values ​​of the secondary indicators of the integrated energy system, select the entropy weight method to weight the individual indicators to obtain the weights of each secondary indicator, and then perform weighted calculation to obtain the scores of each primary indicator;

[0085] A comprehensive score for the integrated energy system is obtained, and an evaluation conclusion on the comprehensive effectiveness of the integrated energy system planning and construction program is given based on the comprehensive score.

[0086] Compared with the prior art, the present invention has the following beneficial effects:

[0087] The present invention provides a method for constructing a comprehensive evaluation index system for an integrated energy system, which can obtain macro-effectiveness indicators for evaluating the integrated energy system and micro-indicators affecting the construction effect of the integrated energy system, and can scientifically and effectively evaluate the comprehensive benefits of the integrated energy system. BRIEF DESCRIPTION OF THE DRAWINGS

[0088] Figure 1 Flow chart of the method of the present invention. DETAILED DESCRIPTION

[0089] The present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.

[0090] See also Figure 1 , a method for constructing a comprehensive evaluation index system of an integrated energy system, the method comprising the following steps:

[0091] Step 1: Establish a comprehensive evaluation index system framework for the integrated energy system. The comprehensive evaluation index system framework is a secondary evaluation system consisting of five primary indicators: safety evaluation index, reliability evaluation index, economic evaluation index, demand-side evaluation index, and environmental evaluation index;

[0092] Step 2: Calculate each secondary index in the primary index;

[0093] Step 3: Calculate the indicator weights through the hierarchical analysis method and conduct a comprehensive evaluation of the integrated energy system.

[0094] The present invention will be further described below in conjunction with a specific embodiment:

[0095] A method for constructing a comprehensive evaluation index system for an integrated energy system comprises the following steps:

[0096] Step 1: Construct a comprehensive evaluation index system framework for the integrated energy system. The comprehensive evaluation index system framework is a secondary evaluation system consisting of five primary indicators, namely, safety evaluation index, reliability evaluation index, economic evaluation index, demand-side evaluation index, and environmental evaluation index, as shown in Table 1.

[0097] Table 1 Comprehensive energy system evaluation index system

[0098]

[0099] The safety evaluation index has three secondary indicators, specifically: power grid safety index, heat network safety index and natural gas network safety index;

[0100] The reliability evaluation index has five secondary indicators, including the system average outage duration index, the system average outage frequency index, the user average outage time, the shortage index and the energy supply reliability rate;

[0101] The economic evaluation index has two secondary indicators, including system equipment utilization and primary energy utilization efficiency;

[0102] The demand-side evaluation index has three secondary indicators, including line load rate, energy information collection system coverage rate and maximum load transfer capacity;

[0103] The environmental protection evaluation index has two secondary indicators, including the reduction of gas pollutant emissions and the environmental value of emission reduction.

[0104] Calculation of safety evaluation indicators, including:

[0105] The calculation of the power grid security index is:

[0106]

[0107] C 11 =1-η vd (47)

[0108] Among them, η vd is the voltage offset rate; V cr , T cr 、V cxt and k are the bus voltage deviation reference value, the allowable time for voltage to exceed the reference value, the extreme value of bus voltage in transient process, and the conversion factor of critical voltage deviation duration into frequency; C 11 It is an indicator of power grid security.

[0109] The calculation of the heating network safety index is:

[0110]

[0111] Among them, R(t) is the safety index of the heating network; Q(t), Q, ΔQ j ,ω i They respectively represent the actual system functional quality characteristic function, the heating amount in good condition, the amount of supply interruption when the heating network components are damaged, and the pipeline and valve fault flow parameters.

[0112] The calculation of the natural gas network security index is:

[0113]

[0114] Among them, f g is the safety index of natural gas network; n, D(x ij ) represent the total number of samples and the system state x in the time period respectively. ijDuration of H(x ij ) is the load loss probability indicator function.

[0115] Calculation of reliability evaluation indicators, including:

[0116] The calculation of the system average outage duration indicator is:

[0117]

[0118] Wherein, SAID is the average outage duration indicator of the system; N i Indicates the number of users at the network load point; U i It represents the average outage duration of load point i.

[0119] The calculation of the system average outage frequency index is:

[0120]

[0121] Where SAIF is the system average outage frequency index; λ i represents the average failure rate of load point i; N i Represents the total number of users at load point i.

[0122] The average outage time for users is calculated as:

[0123]

[0124] Among them, CAID is the average outage time of users; N i Indicates the number of users at the network load point; U i represents the average power outage duration of load point i; λ i represents the average failure rate of load point i.

[0125] The calculation of the shortage index is:

[0126]

[0127] Among them, ENS is the shortage index; L a(i) represents the average load at load point i; U i It represents the average outage duration of load point i.

[0128] The calculation of energy supply reliability is:

[0129]

[0130] Among them, ASA is the energy supply reliability rate; N i Indicates the number of users at the network load point; U i represents the average outage duration of load point i;

[0131] Calculation of economic evaluation indicators, including:

[0132] The calculation of system equipment utilization is:

[0133]

[0134] Among them: ζ, J i，m 、T i，m , G im They represent the equipment utilization rate, the operating time h when equipment m provides energy i, the planned operating time h when equipment m provides energy i, and the energy supplied by equipment m to energy i;

[0135] The calculation of primary energy efficiency is:

[0136]

[0137] Among them, η, W, Q1, Q2, Q L They represent primary energy utilization efficiency, net output electricity, annual effective waste heat heating, annual effective waste heat cooling, annual low calorific value of gas, annual gas effective energy, and annual coal effective energy respectively;

[0138] The calculation of demand-side evaluation indicators includes:

[0139] The line load factor is calculated as:

[0140]

[0141] Among them, γ i is the line load rate; I i，o is the average load of the line; I i，max is the maximum load of the line;

[0142] The calculation of the coverage rate of the energy consumption information collection system is:

[0143]

[0144] Among them, v i represents the coverage rate of the energy information collection system when the i-th energy is applied; i represents various forms of energy, including heat energy, electrical energy and cold energy; c i represents the number of users covered by the i-th energy consumption information collection system; C i It represents the total number of load users corresponding to energy i in the comprehensive energy system;

[0145] The maximum load transfer capacity is calculated as:

[0146]

[0147] In formula (14), q, P q0 , q , are the devices in the nodes corresponding to the energy conversion device set on the network, the annual growth rate of the load at node q, and the maximum input power allowed by the device at node q; in formula (15), is the device conversion efficiency at node q;

[0148] Calculation of environmental performance evaluation indicators, including:

[0149] The calculation of gas pollutant emission reduction is:

[0150] o=Lf u +Lf x (61)

[0151] Among them, o, L, f u 、f x They are respectively the reduction in gaseous pollutant emissions, the total electricity consumption during the time period, the reduction coefficient of sulfur dioxide emissions and the reduction coefficient of nitrogen dioxide emissions;

[0152] The calculation of the environmental value of emission reduction is:

[0153]

[0154] Among them, V i ,n,Q i，c , Q i.dg , Q dg They respectively represent the environmental value of the reduction of the ith pollutant, the type of pollutant, the emission of the ith pollutant from the coal-fired power generation unit, the emission of the ith pollutant from the distributed power generation unit, and the clean energy power generation.

[0155] Step 3: Calculation of indicator weights and comprehensive evaluation based on the analytic hierarchy process;

[0156] The indicator weights are calculated by the analytic hierarchy process, specifically:

[0157] The relative importance of each factor was determined using the 1-9 scale method shown in Table 2, and the factors belonging to the same target layer B were established based on expert opinions. i Next pairwise index judgment matrix C ij , Table 2 and the expressions are as follows:

[0158] Table 2 Scaling method table

[0159]

[0160]

[0161]

[0162] The consistency test of the judgment matrix is ​​carried out, and the weight of each layer of indicators is sorted in a hierarchical manner, that is, according to the judgment matrix C ij Calculate its characteristic roots and eigenvectors, the expressions are as follows:

[0163] C ij W=λ max W (64)

[0164] Among them, λ max C ij The largest characteristic root of W corresponds to λ max The normalized eigenvector of W, the component W i That is, the weight of the corresponding factor single ranking;

[0165] To check the consistency of the matrix, we need to calculate its consistency index CI, which is expressed as follows:

[0166]

[0167] Among them, λ max C ij The largest characteristic root of ij The order of

[0168] The calculated indicator weight value data is used for consistency check, and the Random Index random consistency check table is introduced, as shown in Table 3:

[0169] Table 3 Average random agreement index

[0170]

[0171] When the order is greater than 2, the ratio of the consistency index of the judgment matrix to the average random consistency index of the same order is called the random consistency ratio of the judgment matrix. The matrix consistency index is marked as CR, and the expression is as follows:

[0172]

[0173] When the calculated CR value is less than 0.01, the judgment matrix has satisfactory consistency, otherwise the judgment matrix needs to be adjusted;

[0174] On the basis of judging whether the matrix satisfies consistency, the sum of each row vector of the matrix is ​​averaged and normalized to obtain the weight W. i , the expression is as follows:

[0175]

[0176] in, is the matrix C ij The average value of each row vector;

[0177]

[0178] Conduct a comprehensive evaluation of the integrated energy system, including:

[0179] Calculate the values ​​of the secondary indicators of the integrated energy system, select the entropy weight method to weight the individual indicators to obtain the weights of each secondary indicator, and then perform weighted calculation to obtain the scores of each primary indicator;

[0180] A comprehensive score for the integrated energy system is obtained, and an evaluation conclusion on the comprehensive effectiveness of the integrated energy system planning and construction program is given based on the comprehensive score.

[0181] Based on the above content, in order to verify the effectiveness of the solution of the present invention, the above solution is applied as an example in this embodiment, as follows:

[0182] Using the above-mentioned analytic hierarchy process, various evaluation indicators of the integrated energy system were sorted out, and experts compared them in pairs and scored them to form a judgment matrix. The indicator weight judgment matrix is ​​shown in Tables 4 to 8 below.

[0183] Table 4 Safety index expert weight judgment table

[0184]

[0185] Table 5 Reliability index expert weight judgment table

[0186]

[0187] Table 6 Economic indicators expert weight judgment table

[0188]

[0189] Table 7 Expert weight judgment table of demand-side indicators

[0190]

[0191]

[0192] Table 8 Expert weight judgment table of environmental protection indicators

[0193]

[0194] Table 9 Calculation of target layer indicators

[0195]

[0196] Based on the data obtained from the expert scoring above, the weight calculation is carried out by taking the first-level security index as an example. First, the judgment matrix needs to be checked for consistency. According to equations (19) to (21), the following can be obtained:

[0197] λmax =3.0183 (69)

[0198] CI = 0.0092 (70)

[0199] CR=0.0177<0.1 (71)

[0200] It can be seen that the safety indicator importance score passes the consistency test.

[0201] Then, the sum of each column is obtained from Table 10 as follows:

[0202] Table 10 lists and

[0203]

[0204] The corresponding values ​​in the matrix of Table 10 are obtained according to formula (22) to obtain the matrix of Table 11:

[0205] Table 11 Ratio table

[0206]

[0207] Finally, according to formula (23), the weight vector of each safety index is obtained: Similarly, the weights of various indicators and target layers such as reliability, economy, demand side, and environmental protection are analyzed. First, the consistency of the corresponding judgment matrix needs to be tested, and the calculation results of the consistency parameters of various indicators are shown in Table 12.

[0208] Table 12 Consistency parameters of each indicator layer

[0209]

[0210]

[0211] It can be seen from the above table that all indicators and target layers of the established comprehensive energy system evaluation index system meet the consistency test. Then, the weight coefficients of various indicators and target layers of the established comprehensive energy system evaluation index system are calculated as shown in Table 13:

[0212] Table 13 Weight coefficients of indicators in the comprehensive energy system evaluation system

[0213]

[0214]

[0215] The above descriptions are merely embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A method for constructing a comprehensive evaluation index system for an integrated energy system, characterized in that: Step 1: Establish a comprehensive evaluation index system framework for the integrated energy system. The comprehensive evaluation index system framework is a secondary evaluation system consisting of five primary indicators: safety evaluation index, reliability evaluation index, economic evaluation index, demand-side evaluation index, and environmental evaluation index; Step 2: Calculate each secondary index in the primary index; Step 3: Calculate the indicator weights through the hierarchical analysis method and conduct a comprehensive evaluation of the integrated energy system.

2. A method for constructing a comprehensive evaluation index system for an integrated energy system according to claim 1, characterized in that: The safety evaluation index has three secondary indicators, specifically: power grid safety index, heat network safety index and natural gas network safety index; The reliability evaluation index has five secondary indicators, including the system average outage duration index, the system average outage frequency index, the user average outage time, the shortage index and the energy supply reliability rate; The economic evaluation index has two secondary indicators, including system equipment utilization and primary energy utilization efficiency; The demand-side evaluation index has three secondary indicators, including line load rate, energy information collection system coverage rate and maximum load transfer capacity; The environmental protection evaluation index has two secondary indicators, including the reduction of gas pollutant emissions and the environmental value of emission reduction.

3. A method for constructing a comprehensive evaluation index system for an integrated energy system according to claim 2, characterized in that: Step 2 is as follows: Calculation of safety evaluation indicators, including: The calculation of the power grid security index is: C 11 =1st vd (2) Among them, η vd is the voltage offset rate; V cr , T cr 、V cxt and k are the bus voltage deviation reference value, the allowable time for voltage to exceed the reference value, the extreme value of bus voltage in transient process, and the conversion factor of critical voltage deviation duration into frequency; C 11 It is an indicator of power grid security; The calculation of the heating network safety index is: Among them, R(t) is the safety index of the heating network; Q(t), Q, ΔQ j ,ω i They represent the actual system function quality characteristic function, the heat supply in good condition, the amount of heat supply cut-off when the heating network components are damaged, and the pipeline and valve fault flow parameters respectively; The calculation of the natural gas network security index is: Among them, f g is the safety index of natural gas network; n, D(x ij ) represent the total number of samples and the system state x in the time period respectively. ij Duration of H(x ij ) is the load loss probability indicator function; Calculation of reliability evaluation indicators, including: The calculation of the system average outage duration indicator is: Wherein, SAID is the average outage duration indicator of the system; N i Indicates the number of users at the network load point; U i represents the average outage duration of load point i; The calculation of the system average outage frequency index is: Where SAIF is the system average outage frequency index; λ i represents the average failure rate of load point i; N i represents the total number of users at load point i; The average outage time for users is calculated as: Among them, CAID is the average outage time of users; N i Indicates the number of users at the network load point; U i represents the average power outage duration of load point i; λ i represents the average failure rate of load point i; The calculation of the shortage index is: Among them, ENS is the shortage index; L a(i) represents the average load at load point i; U i represents the average outage duration of load point i; The calculation of energy supply reliability is: Among them, ASA is the energy supply reliability rate; N i Indicates the number of users at the network load point; U i represents the average outage duration of load point i; Calculation of economic evaluation indicators, including: The calculation of system equipment utilization is: Among them: ζ, J i，m , T i，m , G im They represent the equipment utilization rate, the operating time h when equipment m provides energy i, the planned operating time h when equipment m provides energy i, and the energy supplied by equipment m to energy i; The calculation of primary energy efficiency is: Among them, η, W, Q1, Q2, Q L They represent primary energy utilization efficiency, net output electricity, annual effective waste heat heating, annual effective waste heat cooling, annual low calorific value of gas, annual gas effective energy, and annual coal effective energy respectively; The calculation of demand-side evaluation indicators includes: The line load factor is calculated as: Among them, γ i is the line load rate; I i，o is the average load of the line; I i，max is the maximum load of the line; The calculation of the coverage rate of the energy consumption information collection system is: Among them, v i represents the coverage rate of the energy information collection system when the i-th energy is applied; i represents various forms of energy, including heat energy, electrical energy and cold energy; c i represents the number of users covered by the i-th energy consumption information collection system; C i It represents the total number of load users corresponding to energy i in the comprehensive energy system; The maximum load transfer capacity is calculated as: In formula (14), q, P q0 , q , are the devices in the nodes corresponding to the energy conversion device set on the network, the annual growth rate of the load at node q, and the maximum input power allowed by the device at node q; in formula (15), is the device conversion efficiency at node q; Calculation of environmental performance evaluation indicators, including: The calculation of gas pollutant emission reduction is: o=Lf u +Lf x (16) Among them, o, L, f u 、f x They are respectively the reduction in gaseous pollutant emissions, the total electricity consumption during the time period, the reduction coefficient of sulfur dioxide emissions and the reduction coefficient of nitrogen dioxide emissions; The calculation of the environmental value of emission reduction is: Among them, V i ,n,Q i，c , Q i.dg , Q dg They respectively represent the environmental value of the reduction of the ith pollutant, the type of pollutant, the emission of the ith pollutant from the coal-fired power generation unit, the emission of the ith pollutant from the distributed power generation unit, and the clean energy power generation.

4. A method for constructing a comprehensive evaluation index system for an integrated energy system according to claim 1, characterized in that: In step 3, the indicator weights are calculated by the analytic hierarchy process, specifically: Determine the relative importance of each factor and establish the same target layer B according to expert opinions i Next pairwise index judgment matrix C ij , the expression is as follows: The consistency test of the judgment matrix is ​​carried out, and the weight of each layer of indicators is sorted in a hierarchical manner, that is, according to the judgment matrix C ij Calculate its characteristic roots and eigenvectors, the expressions are as follows: C ij W=λ max W (19) Among them, λ max C ij The largest characteristic root of w corresponds to λ max The normalized eigenvector of W, the component W i That is, the weight of the corresponding factor single ranking; To check the consistency of the matrix, we need to calculate its consistency index CI, which is expressed as follows: Among them, λ max C ij The largest characteristic root of ij The order of The calculated indicator weight value data is used for consistency check. When the order is greater than 2, the ratio of the judgment matrix consistency index to the average random consistency index of the same order is called the random consistency ratio of the judgment matrix. The matrix consistency index is marked as CR, and the expression is as follows: When the calculated CR value is less than 0.01, the judgment matrix has satisfactory consistency, otherwise the judgment matrix needs to be adjusted; On the basis of judging whether the matrix satisfies consistency, the sum of each row vector of the matrix is ​​averaged and normalized to obtain the weight W. i , the expression is as follows: in, is the matrix C ij The average value of each row vector; 5. A method for constructing a comprehensive evaluation index system for an integrated energy system according to claim 4, characterized in that: In step 3, the comprehensive evaluation of the integrated energy system is specifically as follows: Calculate the values ​​of the secondary indicators of the integrated energy system, select the entropy weight method to weight the individual indicators to obtain the weights of each secondary indicator, and then perform weighted calculation to obtain the scores of each primary indicator; A comprehensive score for the integrated energy system is obtained, and an evaluation conclusion on the comprehensive effectiveness of the integrated energy system planning and construction program is given based on the comprehensive score.

Images