Urban integrated energy system evaluation system suitable for cooling, heating and power transformation

Abstract

The invention, which relates to the technical field of comprehensive energy system evaluation, discloses an urban comprehensive energy system evaluation system adaptive to cooling, heating and power transformation, and the system comprises a data collection module which is used for collecting basic data of refrigeration, heating and power supply in an urban comprehensive energy system; the data processing module is used for preprocessing basic data of refrigeration, heat supply and power supply; the data evaluation module is used for calculating and processing the preprocessed basic data to obtain an evaluation index of the urban comprehensive energy system; the data display module is used for establishing an integrated visualization and interactive analysis platform, and combining the urban map with the basic data of the urban comprehensive energy system on the basis of a geographic information system for visual display; a plurality of sensors are installed at key positions of all the systems, basic data can be comprehensively and specifically collected, and all-directional monitoring of the running state of the urban comprehensive energy system is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of integrated energy system evaluation, and particularly to an evaluation system for urban integrated energy systems adapted to cold, heat and power transformation. Background Art

[0002] With the global energy transformation, the traditional single - energy supply system is transforming into an integrated energy system. The organic combination of various energy forms such as electricity, heat, and refrigeration can meet diverse energy demands, improve system efficiency and flexibility, and reduce dependence on traditional fossil fuels. However, modern society has extremely high requirements for the stability of power supply, heat supply, and refrigeration. Power outages, heat cuts, and cold cuts will respectively cause serious problems in industrial production, residential life, and special places. The current integrated energy system has the complexity caused by coupling and is affected by various uncertain factors. Moreover, the traditional evaluation system focuses on single - energy or certain performance indicators, lacking the comprehensive stability evaluation of the cold, heat, and power multi - energy coupling system, making it difficult to comprehensively grasp the system status. However, the progress of intelligent monitoring and control technologies, as well as the guidance of the energy market and policies, provide the possibility and motivation for the stability assessment and optimal control of the integrated energy system. Summary of the Invention

[0003] To solve the above - mentioned technical problems, the present invention provides an evaluation system for urban integrated energy systems adapted to cold, heat and power transformation, including:

[0004] A data acquisition module for acquiring the basic data of refrigeration, heat supply, and power supply in the urban integrated energy system;

[0005] A data processing module for pre - processing the basic data of refrigeration, heat supply, and power supply;

[0006] A data evaluation module that calculates and processes the pre - processed basic data to obtain the evaluation index of the urban integrated energy system;

[0007] A data display module that establishes an integrated visualization and interactive analysis platform. Based on the geographic information system, it combines the urban map with the basic data of the urban integrated energy system for visual display;

[0008] A data feedback module that establishes a feedback system. When stability problems occur in the urban integrated energy system, it feeds back to the energy operation management department, the maintenance team, and relevant decision - makers.

[0009] Furthermore, the data acquisition module includes:

[0010] Voltage sensors are installed at key nodes of the power supply network, the output ends of substations and distribution rooms, and the access points of important users.

[0011] The current sensor has the same installation position as the voltage sensor;

[0012] The heating temperature sensor installs temperature sensors at the heat source outlet of the heating system, the inlet and outlet of the heat substation, and on the heating pipelines at the user end;

[0013] The heating flow sensor is installed on the heating pipeline, usually at positions such as the heat source outlet, the inlet and outlet of the heat substation, and the branch pipelines, for measuring the flow rate of the heating medium;

[0014] The refrigeration temperature sensor installs temperature sensors at positions such as the inlet and outlet of the evaporator and the inlet and outlet of the condenser in the refrigeration system;

[0015] The refrigeration flow sensor is installed on the refrigerant pipeline of the refrigeration system, usually at the inlet and outlet of the evaporator and the condenser and before and after the throttling device, for measuring the flow rate of the refrigerant.

[0016] Furthermore, the method for preprocessing the basic data includes the following steps

[0017] The basic data refers to the data collected by the voltage sensor, current sensor, heating temperature sensor, heating flow sensor, refrigeration temperature sensor, and refrigeration flow sensor;

[0018] Step S1, set the range of abnormal values of the basic data, and delete and clean the abnormal basic data;

[0019] Step S2, perform standardization processing on the basic data to unify data of different types and different ranges.

[0020] Furthermore, the range of abnormal values of the basic data includes

[0021] Voltage data, exceeding 110% of the rated voltage, is marked as abnormal;

[0022] Current data, exceeding 110% of the line carrying current, is regarded as abnormal;

[0023] Heating temperature data, higher than the normal heating temperature by 2°C and lasting for more than 2 minutes, is determined as abnormal;

[0024] Flow rate data, exceeding 110% of the designed flow rate of the heating system, is marked as abnormal;

[0025] Refrigeration temperature data, lower than the normal refrigeration temperature by 2°C and lasting for more than 2 minutes, is identified as abnormal;

[0026] Refrigerant flow rate data, exceeding 110% of the designed flow rate of the refrigeration system, is determined as abnormal.

[0027] Furthermore, the method for obtaining the evaluation index of the urban comprehensive energy system includes the following steps

[0028] Step 1, set the threshold of the basic data;

[0029] Step 2, according to the set threshold of the basic data, record the stable data of refrigeration, heating and power supply in the urban integrated energy system, where the stable data refers to the time data within the range of the basic data threshold;

[0030] Step 3, according to the stable data of refrigeration, heating and power supply in the urban integrated energy system, calculate the stable ratio of refrigeration, heating and power supply in the urban integrated energy system, where the stable ratio refers to the ratio of the time data within the range of the basic data threshold to the total time data;

[0031] Step 4, set the weights of refrigeration, heating and power supply in the urban integrated energy system;

[0032] Step 5, according to the weights of refrigeration, heating and power supply in the urban integrated energy system, combined with the stable ratio, calculate the evaluation index of the urban integrated energy system.

[0033] Further, the threshold of the basic data includes

[0034] The case where the power supply voltage is lower than 90% of the rated voltage and the duration exceeds the set value of 2 minutes;

[0035] The case where the power supply current is lower than 90% of the rated current and the duration exceeds the set value of 2 minutes;

[0036] The heating temperature is lower than the normal heating temperature by 2°C and the duration exceeds 5 minutes;

[0037] The heating flow rate is lower than the normal heating system flow rate and the duration exceeds 5 minutes;

[0038] The refrigeration temperature is higher than the normal refrigeration temperature by 2°C and the duration exceeds the specified duration of 3 minutes;

[0039] The refrigeration flow rate is lower than the normal refrigeration system flow rate and the duration exceeds 3 minutes.

[0040] Further, the method for setting the weights of refrigeration, heating and power supply in the urban integrated energy system

[0041] In winter, the importance of heating stability is relatively increased, the weight of the heating stability index is increased, the weight of the heating stability index is adjusted to 0.4, and at the same time, the weight of the power supply stability is adjusted to 0.3 and the weight of the refrigeration stability index is adjusted to 0.3;

[0042] In summer, the importance of refrigeration stability relatively increases. The weight of the refrigeration stability index is increased, and the weight of the refrigeration stability index is adjusted to 0.4. At the same time, the weight of power supply stability is correspondingly adjusted to 0.3, and the weight of heating stability index is adjusted to 0.3;

[0043] In the stage of rapid urban development, power supply stability is more crucial for ensuring newly built facilities and enterprise production. The weight of the power supply stability index can be increased. The weight of the power supply stability index is adjusted to 0.5, the weight of heating stability is 0.3, and the weight of refrigeration stability is 0.2.

[0044] Furthermore, the method of visual display includes the following steps

[0045] Step A: Establish a time interval and divide the time interval into days, weeks, months, and quarters;

[0046] Step B: Integrate the region with the time interval;

[0047] Step C: Divide the basic data, stability data, time data, stability ratio, and evaluation index according to the region and time interval;

[0048] Step D: Visually display the data in Step C in the form of a chart.

[0049] Furthermore, when stability problems occur in the urban integrated energy system, the method of feedback to the energy operation management department, maintenance team, and relevant decision-makers includes the following steps

[0050] 1). When the basic data exceeds the threshold range, the feedback system will generate an alarm and transmit the alarm message to the maintenance team for maintenance and repair;

[0051] 2). When the stability of the urban integrated energy system shown by the evaluation index exceeds the rated range, the feedback system will generate an alarm and feedback the alarm message and the visual display chart to the energy operation management department, and the relevant decision-makers will adjust the urban integrated energy system.

[0052] The present invention provides an evaluation system for an urban integrated energy system adapted to the cold, heat, and power transformation. It has the following beneficial effects:

[0053] 1. For the three key links of refrigeration, heating, and power supply, a variety of sensors are installed at key positions in each system, such as voltage sensors, current sensors, heating temperature sensors, heating flow sensors, refrigeration temperature sensors, refrigeration flow sensors, etc., which can comprehensively and specifically collect basic data and realize the all-round monitoring of the operation status of the urban integrated energy system.

[0054] 2. A clear range of outliers in the basic data is set, and the abnormal data is deleted and cleaned, avoiding the interference of abnormal data on subsequent analysis and evaluation, improving the accuracy and reliability of the data, helping to eliminate the dimensional differences between the data, enabling each item of data to participate fairly in the calculation and evaluation in the evaluation system, and improving the accuracy and comparability of the evaluation results.

[0055] 3. By setting the threshold of the basic data, recording the stable data of refrigeration, heating and power supply, calculating their stable ratios, and then combining the weights set for different seasons and urban development stages, the evaluation index of the urban integrated energy system is finally obtained. This calculation method fully considers the importance differences of refrigeration, heating and power supply under different conditions and can more accurately reflect the overall operation stability and performance of the urban integrated energy system. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] Figure 1 It is a flowchart of an evaluation system for an urban integrated energy system adapted to cold, heat and power transformation according to the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0057] The present invention will be further described in detail below in conjunction with the drawings and specific embodiments. The embodiments of the present invention are given for purposes of illustration and description, and are not exhaustive or limited to the disclosed form. Many modifications and variations are obvious to those of ordinary skill in the art. The embodiments are selected and described to better illustrate the principles and practical applications of the present invention, and to enable those of ordinary skill in the art to understand the present invention and thus design various embodiments with various modifications suitable for specific purposes.

[0058] Embodiment 1, an evaluation system for an urban integrated energy system adapted to cold, heat and power transformation, comprising:

[0059] A data acquisition module for collecting the basic data of refrigeration, heating and power supply in the urban integrated energy system;

[0060] The data acquisition module includes:

[0061] Voltage sensors are installed at key nodes of the power supply network, the output ends of substations and distribution rooms, and the access points of important users;

[0062] Current sensors are installed at the same positions as the voltage sensors;

[0063] Heating temperature sensors are installed at the heat source outlet of the heating system, the inlet and outlet of the heat substation, and the heating pipelines at the user end;

[0064] A heat supply flow sensor is installed on the heat supply pipeline, usually at positions such as the outlet of the heat source, the inlet and outlet of the heat substation, and the branch pipeline, and is used to measure the flow rate of the heat supply medium;

[0065] A refrigeration temperature sensor, and temperature sensors are installed at the inlet and outlet of the evaporator and the inlet and outlet of the condenser in the refrigeration system;

[0066] A refrigeration flow sensor is installed on the refrigerant pipeline of the refrigeration system, usually at the inlet and outlet of the evaporator and the condenser and before and after the throttling device, and is used to measure the flow rate of the refrigerant;

[0067] Basic data refers to the data collected by voltage sensors, current sensors, heat supply temperature sensors, heat supply flow sensors, refrigeration temperature sensors, and refrigeration flow sensors;

[0068] A data processing module preprocesses the basic data of refrigeration, heat supply, and power supply;

[0069] The method for preprocessing basic data includes the following steps

[0070] Step S1, set the range of basic data outliers, and delete and clean the abnormal basic data:

[0071] The range of basic data outliers includes

[0072] Voltage data, exceeding 110% of the rated voltage, is marked as abnormal;

[0073] Current data, exceeding 110% of the line carrying current, is regarded as abnormal;

[0074] Heat supply temperature data, higher than the normal heat supply temperature by 2°C and lasting for more than 2 minutes, is determined to be abnormal;

[0075] Flow data, exceeding 110% of the designed flow rate of the heat supply system, is marked as abnormal;

[0076] Refrigeration temperature data, lower than the normal refrigeration temperature by 2°C and lasting for more than 2 minutes, is identified as abnormal;

[0077] Refrigerant flow data, exceeding 110% of the designed flow rate of the refrigeration system, is determined to be abnormal;

[0078] Use statistical methods or model-based methods to identify and remove outliers, and use interpolation or mean substitution methods to repair or remove abnormal data;

[0079] Step S2, standardize the basic data to unify data of different types and ranges;

[0080] The range normalization method is used to convert data of different types and magnitudes into standard data, making various types of data comparable;

[0081] A data evaluation module that performs calculation processing on the preprocessed basic data to obtain evaluation indicators of the urban comprehensive energy system;

[0082] A method for obtaining evaluation indicators of the urban comprehensive energy system includes the following steps,

[0083] Step 1, set the threshold of the basic data;

[0084] The threshold of the basic data includes,

[0085] The case where the power supply voltage is lower than 90% of the rated voltage and the duration exceeds the set value of 2 minutes;

[0086] The case where the power supply current is lower than 90% of the rated current and the duration exceeds the set value of 2 minutes;

[0087] The heating temperature is lower than the normal heating temperature by 2°C and the duration exceeds 5 minutes;

[0088] The heating flow rate is lower than the normal heating system flow rate and the duration exceeds 5 minutes;

[0089] The refrigeration temperature is higher than the normal refrigeration temperature by 2°C and the duration exceeds the specified duration of 3 minutes;

[0090] The refrigeration flow rate is lower than the normal refrigeration system flow rate and the duration exceeds 3 minutes;

[0091] Step 2, according to the set threshold of the basic data, record the stable data of refrigeration, heating and power supply in the urban comprehensive energy system. The stable data refers to the time data within the range of the basic data threshold;

[0092] Step 3, according to the stable data of refrigeration, heating and power supply in the urban comprehensive energy system, calculate the stable ratios of refrigeration, heating and power supply in the urban comprehensive energy system. The stable ratio refers to the ratio of the time data within the range of the basic data threshold to the total time data;

[0093] Among them, the power outage frequency = the number of power outage events / the total number of time periods. For example, within a quarter, if there are 5 power outage events and the quarter is divided into 3 time periods on a monthly basis, then the power outage frequency = 5 / 3 ≈ 1.67 times / month;

[0094] The power outage time = ∑(the duration of each power outage event). For example, within a month, there are 3 power outage events. The first power outage lasted for 10 minutes, the second power outage lasted for 15 minutes, and the third power outage lasted for 20 minutes. Then the power outage time for that month = 10 + 15 + 20 = 45 minutes;

[0095] The calculation formula for power supply stability data is 1 - power outage time / total time. If the power outage time in a certain month is 45 minutes, then the power supply stability data = 1 - 45 / (30 * 24 * 60);

[0096] Heat insulation frequency = number of heat insulation events / total number of time periods. For example, within a heating season, if there are 4 heat insulation events, and the heating season is divided into 4 time periods on a monthly basis, then the heat insulation frequency = 4 / 4 = 1 time / month;

[0097] Heat insulation time = ∑(duration of each heat insulation event). For example, within a month, there are 2 heat insulation events. The first heat insulation lasts for 8 minutes, and the second heat insulation lasts for 12 minutes. Then the heat insulation time for this month = 8 + 12 = 20 minutes;

[0098] The calculation formula for heating stability data is 1 - heat insulation time / total time. If the heat insulation time in a certain month is 20 minutes, then the heating stability data = 1 - 20 / (30 * 24 * 60);

[0099] The calculation formula for cooling stop frequency is cooling stop frequency = number of cooling stop events / total number of time periods. For example, within a cooling season (assuming it is 5 months from May to September), if there are 3 cooling stop events, then the total number of time periods is 5, and the cooling stop frequency = 3 / 5 = 0.6 times / month;

[0100] The calculation method for cooling stop time is cooling stop time = ∑(duration of each cooling stop event). For example, within a month, there are 2 cooling stop events. The first cooling stop lasts for 5 minutes, and the second cooling stop lasts for 7 minutes. Then the cooling stop time for this month = 5 + 7 = 12 minutes;

[0101] The calculation formula for refrigeration stability data is 1 - cooling stop time / total time. If the cooling stop time in a certain month is 12 minutes, then the refrigeration stability data = 1 - 12 / (30 * 24 * 60);

[0102] Step 4, set the weights of refrigeration, heating, and power supply in the urban integrated energy system;

[0103] The method for setting the weights of refrigeration, heating, and power supply in the urban integrated energy system,

[0104] In winter, the importance of heating stability relatively increases. Increase the weight of the heating stability index, adjust the weight of the heating stability index to 0.4, and at the same time, correspondingly adjust the power supply stability weight to 0.3 and the refrigeration stability index weight to 0.3;

[0105] In summer, the importance of refrigeration stability relatively increases. Increase the weight of the refrigeration stability index, adjust the weight of the refrigeration stability index to 0.4, and at the same time, correspondingly adjust the power supply stability weight to 0.3 and the heating stability index weight to 0.3;

[0106] In the stage of rapid urban development, power supply stability is more crucial for ensuring newly constructed facilities and enterprise production. The weight of the power supply stability index can be increased. Adjust the weight of the power supply stability index to 0.5, the weight of the heat supply stability to 0.3, and the weight of the refrigeration stability to 0.2;

[0107] Step 5: According to the weights of refrigeration, heat supply, and power supply in the urban integrated energy system, combined with the stability ratio, calculate the evaluation index of the urban integrated energy system;

[0108] Based on the above power supply stability data, heat supply stability data, and refrigeration stability data, the following formula can be obtained:

[0109] Evaluation index = power supply stability weight * power supply stability data + heat supply stability weight * heat supply stability data + refrigeration stability weight * refrigeration stability data;

[0110] According to the comprehensive evaluation score range, different evaluation result levels are divided. For example, the evaluation results can be divided into five levels: excellent (greater than or equal to 0.95), good (0.9 - 0.95), medium (0.85 - 0.9), poor (0.8 - 0.85), and bad (less than or equal to 0.8);

[0111] Data display module: Establish an integrated visualization and interactive analysis platform. Based on the geographic information system, combine the urban map with the basic data of the urban integrated energy system for visual display;

[0112] The method of visual display includes the following steps

[0113] Step A: Establish a time interval, and divide the time interval into days, weeks, months, and quarters;

[0114] Step B: Integrate the region with the time interval;

[0115] Step C: Divide the basic data, stability data, time data, stability ratio, and evaluation index according to the region and time interval;

[0116] Step D: Visually display the data in step C in the form of a chart;

[0117] Data feedback module: Establish a feedback system. When stability problems occur in the urban integrated energy system, feedback to the energy operation management department, maintenance team, and relevant decision-makers, including the following steps

[0118] 1). When the basic data exceeds the threshold range, the feedback system will generate an alarm and transmit the alarm message to the maintenance team for maintenance and repair;

[0119] 2) When the stability of the urban integrated energy system shown by the evaluation index exceeds the rated range, the feedback system will generate an alarm and feed back the alarm message and the visualization display chart to the energy operation management department, and the relevant decision-makers will adjust the urban integrated energy system.

[0120] Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all embodiments. All other embodiments obtained by those of ordinary skill in the art and related fields based on the embodiments of the present invention without creative efforts shall fall within the scope of protection of the present invention. The structures, devices, and operation methods not specifically described and explained in the present invention shall be implemented by conventional means in the art without special instructions and limitations.

Claims

1. An evaluation system for an urban integrated energy system adapted to cold, heat and power transformation, characterized in that Including: A data acquisition module, which is used to acquire the basic data of refrigeration, heating, and power supply in the urban integrated energy system; A data processing module, which preprocesses the basic data of refrigeration, heating, and power supply; A data evaluation module, which performs calculation processing on the preprocessed basic data to obtain the evaluation indexes of the urban integrated energy system; A data display module, which establishes an integrated visualization and interactive analysis platform. Based on the geographic information system, it combines the urban map with the basic data of the urban integrated energy system for visual display; A data feedback module, which establishes a feedback system. When stability problems occur in the urban integrated energy system, it feeds back to the energy operation management department, the maintenance team, and relevant decision-makers.

2. The evaluation system for an urban integrated energy system adapted to the renovation of cooling, heating and power according to claim 1, wherein: The data acquisition module includes: Voltage sensors, which are installed at key nodes of the power supply network, the output ends of substations and distribution rooms, and the access points of important users; Current sensors, which are installed at the same positions as the voltage sensors; Heating temperature sensors, which are installed at the heat source outlet of the heating system, the inlet and outlet of the heat substation, and the heating pipelines at the user end; Heating flow sensors, which are installed on the heating pipelines, usually located at positions such as the heat source outlet, the inlet and outlet of the heat substation, and the branch pipelines, and are used to measure the flow of the heating medium; Refrigeration temperature sensors, which are installed at positions such as the inlet and outlet of the evaporator and the inlet and outlet of the condenser in the refrigeration system; Refrigeration flow sensors, which are installed on the refrigerant pipelines of the refrigeration system, usually located at the inlet and outlet of the evaporator and the condenser, and before and after the throttling device, and are used to measure the flow of the refrigerant.

3. An evaluation system for an urban integrated energy system adapted to the renovation of cooling, heating and power, as claimed in claim 1, wherein: The method for preprocessing the basic data includes the following steps The basic data refers to the data collected by voltage sensors, current sensors, heating temperature sensors, heating flow sensors, refrigeration temperature sensors, and refrigeration flow sensors; Step S1, set the range of abnormal values of the basic data, and delete and clean the abnormal basic data; Step S2, perform standardization processing on the basic data to unify data of different types and different ranges.

4. An evaluation system for an urban integrated energy system adapted to cold, heat and power transformation according to claim 1, characterized in that: The range of abnormal values of the basic data includes Voltage data, if it exceeds 110% of the rated voltage, it is marked as abnormal; Current data, if it exceeds 110% of the line carrying current, it is regarded as abnormal; Heating temperature data, if it is higher than the normal heating temperature by 2°C and lasts for more than 2 minutes, it is determined as abnormal; Flow data, if it exceeds 110% of the designed flow of the heating system, it is marked as abnormal; Refrigeration temperature data, if it is lower than the normal refrigeration temperature by 2°C and lasts for more than 2 minutes, it is identified as abnormal; Refrigerant flow data, if it exceeds 110% of the designed flow of the refrigeration system, it is determined as abnormal.

5. An evaluation system for an urban integrated energy system adapted to the renovation of cooling, heating and power, characterized in that: The method for obtaining the evaluation indexes of the urban integrated energy system Includes the following steps Step 1, set the threshold of the basic data; Step 2, according to the set threshold of the basic data, record the stable data of refrigeration, heating, and power supply in the urban integrated energy system. The stable data refers to the time data within the range of the basic data threshold. Step 3: Calculate the stability ratios of cooling, heating, and power supply in the urban integrated energy system based on the stable data of cooling, heating, and power supply in the urban integrated energy system. The stability ratio refers to the ratio of the time data within the threshold range of the basic data to the total time data. Step 4: Set the weights of cooling, heating, and power supply in the urban integrated energy system. Step 5: Calculate the evaluation index of the urban integrated energy system according to the weights of cooling, heating, and power supply in the urban integrated energy system and in combination with the stability ratio.

6. The evaluation system of an urban integrated energy system adapted to the cold, heat and power transformation according to claim 1, characterized in that: The thresholds of the basic data include the situation where the power supply voltage is lower than 90% of the rated voltage and the duration exceeds the set value of 2 minutes; the situation where the power supply current is lower than 90% of the rated current and the duration exceeds the set value of 2 minutes; the heating temperature is lower than the normal heating temperature by 2°C and the duration exceeds 5 minutes; the heating flow rate is lower than the normal heating system flow rate and the duration exceeds 5 minutes; the cooling temperature is higher than the normal cooling temperature by 2°C and the duration exceeds the specified duration of 3 minutes; the cooling flow rate is lower than the normal cooling system flow rate and the duration exceeds 3 minutes.

7. An evaluation system for an urban integrated energy system adapted to cold, heat and power transformation according to claim 1, characterized in that: The method for setting the weights of cooling, heating, and power supply in the urban integrated energy system In winter, the importance of heating stability is relatively increased. Increase the weight of the heating stability index, adjust the weight of the heating stability index to 0.4, and at the same time adjust the power supply stability weight to 0.3 and the cooling stability index weight to 0.3 accordingly; In summer, the importance of cooling stability is relatively increased. Increase the weight of the cooling stability index, adjust the weight of the cooling stability index to 0.4, and at the same time adjust the power supply stability weight to 0.3 and the heating stability index weight to 0.3 accordingly; In the stage of rapid urban development, power supply stability is more critical for ensuring newly built facilities and enterprise production. The weight of the power supply stability index can be increased, adjust the weight of the power supply stability index to 0.5, the heating stability weight to 0.3, and the cooling stability weight to 0.

2.

8. The evaluation system for an urban integrated energy system adapted to the cold, heat and power transformation according to claim 1, characterized in that: The method for visual display includes the following steps Step A: Establish a time interval and divide the time interval into days, weeks, months, and quarters; Step B: Integrate the region with the time interval; Step C: Divide the basic data, stable data, time data, stability ratio, and evaluation index according to the region and time interval; Step D: Visually display the data in Step C in the form of a chart.

9. The evaluation system for an urban integrated energy system adapted to cold, heat and power transformation according to claim 1, characterized in that: When stability problems occur in the urban integrated energy system, the method for feedback to the energy operation management department, maintenance team, and relevant decision-makers includes the following steps 1) When the basic data exceeds the threshold range, the feedback system will generate an alarm and transmit the alarm message to the maintenance team for maintenance and repair; 2) When the stability of the urban integrated energy system shown by the evaluation index exceeds the rated range, the feedback system will generate an alarm and feedback the alarm message and the visual display chart to the energy operation management department, and the relevant decision-makers will adjust the urban integrated energy system.

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