CN112614013A - Multi-energy coupling scheduling system and method for multi-station fusion type distributed energy station - Google Patents
Multi-energy coupling scheduling system and method for multi-station fusion type distributed energy station Download PDFInfo
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Abstract
The invention discloses a multi-energy coupling dispatching system and a method for a multi-station fusion type distributed energy station, wherein the system comprises: the scheme making module is used for making an energy utilization requirement scheme based on the user requirement and the constraint condition; setting key parameters, and performing condition constraint on the load rate and the operation duration of the heat pump unit and the operation power and the operation duration of the air conditioner; the information acquisition module is used for acquiring the operation measurement information of the energy equipment and the operation measurement information of the environment sensing equipment; the data service module is used for storing information required by the energy demand scheme and calculating a performance coefficient; the operation evaluation module is used for carrying out comprehensive energy supply scheduling on the energy station based on the information acquired by the information acquisition module and combined with historical data and a historical scheduling scheme in the database; and the result output module is used for outputting the scheduling scheme and the scheme condition evaluation result. The reasonable and orderly power utilization can be realized, the terminal energy utilization efficiency is improved, the power utilization behavior is optimized, and the purposes of energy conservation and efficiency improvement are achieved.
Description
Technical Field
The invention belongs to the technical field of energy planning, and particularly relates to a multi-energy coupling scheduling system and method for a multi-station fusion type distributed energy station.
Background
The comprehensive energy station integrates the construction of various energy infrastructures such as electric power, heat supply, cold supply and the like in one station space, and the conventional comprehensive energy utilization scheme predicts the planning level annual energy utilization requirement by acquiring the historical energy utilization data of regional comprehensive energy and respectively controls and schedules various energy sources in a plurality of systems; meanwhile, in the traditional information energy system, the parameters and the operation information of the capacity side, the network side and the load side are all transmitted to a cloud server or an internal control center, and are uniformly processed and then transmitted for processing.
In the prior art, a comprehensive energy utilization scheme mainly depends on planning stage data and historical experience, real-time monitoring is lacked, each system operation and maintenance worker is only responsible for single energy, configuration imbalance and resource waste are caused by independent operation, and in consideration of the fact that only a small amount of necessary information participates in scheduling and control, a large amount of data circulation can bring heavy burden to a computing center, and meanwhile communication blockage can bring time lag and packet loss to cause network congestion, low computing capacity and long response time.
Disclosure of Invention
The invention aims to provide a multi-energy coupling scheduling system and method suitable for a multi-station fusion type distributed energy station, so that reasonable and orderly power utilization is realized, the terminal energy utilization efficiency is improved, the power utilization behavior is optimized, the purposes of energy conservation and efficiency improvement are achieved, and the system and method have the advantages of accuracy, reliability, good operability, strong expandability and the like.
In order to realize the purpose, the following technical scheme is adopted:
a multi-energy coupling scheduling system of a multi-station fusion type distributed energy station, comprising:
the scheme making module is used for making an energy utilization requirement scheme based on the user requirement and the constraint condition;
the information acquisition module is used for acquiring the operation measurement information of the energy equipment and the operation measurement information of the environment sensing equipment;
the data service module is used for storing and calculating the obtained performance coefficient;
the operation evaluation module is used for carrying out comprehensive energy supply scheduling on the energy station based on the operation of the energy equipment and the operation measurement information of the environment sensing equipment by combining historical data and a historical scheduling scheme in the database;
and the result output module is used for outputting the scheduling scheme and the scheme condition evaluation result.
Specifically, the user requirements mainly include: cooling demand, heating demand, power consumption load demand, the constraint condition includes: refrigerating and heating time, temperature maintaining time and load stable operation time.
Specifically, the key parameters include: cooling target temperature, heating target temperature, water supply temperature, return water temperature, hot water flow and load factor.
Specifically, the combination information acquisition module is further configured to obtain an uncontrollable parameter.
Specifically, the uncontrollable parameter is ambient temperature.
Specifically, the information of the measurement of the operation of the energy device and the operation of the environment sensing device includes: the ambient temperature and the water inlet temperature are read every 1 minute and transmitted and stored in the data service module.
Specifically, the coefficient of performance calculation formula is as follows:
COP (refrigerating capacity/power consumption);
refrigerating capacity (C × M × Δ T) C × M × T (T backwater-T water supply);
C＝4.2×103J/kg℃；
M＝Q×h＝D×1h；
delta T ═ (return T-supply T) T represents temperature in degrees celsius;
q is the system water flow, D represents the data acquisition value, and the unit is M3/h。
Specifically, the operation evaluation module includes: the system comprises a compliance evaluation unit, a key equipment evaluation unit, a comprehensive energy utilization efficiency evaluation unit and a yield evaluation unit;
the compliance evaluation unit is used for evaluating whether boundary conditions are in compliance, the boundary conditions are that whether the theoretically calculated heat supply amount/cold supply amount meets the requirements of a user side, whether the total operating power of the equipment exceeds a limit, and whether the operation of the heat pump meets the requirement of the lowest load rate;
the key equipment evaluation unit is used for evaluating the operation condition of the key equipment by utilizing the water supply temperature, the return water temperature, the water flow and the power consumption of the heat pump unit and eliminating abnormal data outside a random error range through a Lauda criterion method and then comparing the abnormal data with sample data during the unit operation test;
the comprehensive energy utilization efficiency evaluation unit is used for finishing energy utilization efficiency evaluation by utilizing a low-capacity edge computing terminal at the low end in the multi-station-in-one distributed energy station and ensuring safe and reliable operation;
and the yield evaluation unit is used for evaluating the overall operation economy, calculating the electricity consumption cost according to the actual time-of-use electricity price through the sum of the heat pump electricity consumption and the air conditioner electricity consumption, and further comparing the electricity consumption cost with a test scheme and a historical scheduling scheme and ensuring the energy conservation and emission reduction.
Specifically, the comprehensive energy utilization efficiency evaluation unit includes: the system comprises an electric energy efficiency evaluation module, a cooling efficiency evaluation module and a heating efficiency evaluation module.
The invention provides another technical scheme that:
a multi-station fusion type distributed energy station multi-energy coupling scheduling method is based on a multi-station fusion type distributed energy station multi-energy coupling scheduling system, and comprises the following steps:
a calculation method of a low-end small-capacity edge calculation terminal in a multi-station-in-one distributed energy station is adopted: comprehensively considering the cold and hot shutdown delay and the electric energy instantaneous characteristics, and carrying out quantitative analysis and modeling on uncertain factors of the multi-energy coupling scheduling algorithm; the method comprises the following steps: typical time sequence analysis is carried out on cold and heat utilization effects of a user side, and when a ground source heat pump is adopted for supplying heat, starting time and hot water conduction heating efficiency are low, so that the environmental temperature rises slowly; after the heat supply is stopped, the ambient temperature is slowly declined when the ground source heat pump is used, and through the collected information of the operation of the energy source equipment and the operation measurement of the environment sensing equipment, according to the cold and heat using requirements of users in different time periods, sensitivity analysis of controllable factors and uncontrollable factors is carried out by combining with the performance coefficient of a ground source heat pump, digital modeling of heat supply/cooling effects of ambient temperature and unit operation duration is completed, a plurality of energy supply schemes which accord with compliance evaluation under the condition of different energy using requirements are determined, the middle part in a regulation and control range is taken as a moderate regulation and control scheme, the upper limit and the lower limit of the regulation and control range are respectively taken as a scheme 1 and a scheme 2, and formulating a regulation and control scheme template according to the prediction results of cost and effect under different schemes, and configuring the closest regulation and control scheme template as an optimal operation scheduling scheme according to the final requirements of users.
The invention has the following beneficial effects:
the multifunctional coupling scheduling method provided by the embodiment of the invention can realize reasonable and orderly power utilization, improvement of terminal energy utilization efficiency and optimization of power utilization behaviors according to a comprehensive energy edge scheduling algorithm, achieves the purposes of energy saving and efficiency improvement, and has the advantages of accuracy, reliability, good operability, strong expandability and the like.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the invention and, together with the description, serve to explain the invention and not to limit the invention. In the drawings:
FIG. 1 is a block diagram of a multi-energy coupling scheduling system according to an embodiment of the present invention;
FIG. 2 is a flowchart of a method for multi-energy coupling scheduling according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of heating operation duration and ambient temperature in an embodiment of the present invention;
FIG. 4 is a diagram illustrating the time period of stopping heating and the ambient temperature according to the embodiment of the present invention.
Detailed Description
The present invention will be described in detail below with reference to the embodiments with reference to the attached drawings. It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
The following detailed description is exemplary in nature and is intended to provide further details of the invention. Unless otherwise defined, all technical terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the invention.
The invention provides a multi-energy coupling scheduling system and method suitable for a multi-station fusion type distributed energy station, which realize reasonable and orderly power utilization, improvement of terminal energy utilization efficiency and optimization of power utilization behaviors according to a comprehensive energy edge scheduling algorithm, achieve the purposes of energy conservation and efficiency improvement, and have the advantages of accuracy, reliability, good operability, strong expandability and the like.
The invention can be applied to the following scenarios:
(1) and evaluating and constructing the energy station without commissioning, evaluating the construction progress and quality, perfecting the construction scheme and ensuring the construction quality.
(2) The running energy station is transformed, a targeted field manual operation and maintenance scheme is provided, the operation and maintenance work difficulty and labor intensity are greatly reduced, and the operation and maintenance efficiency is improved.
(3) The energy station is incorporated into the power networks and is checked and accepted, provides comprehensive defect elimination scheme, ensures energy security.
(4) The energy station financing or purchasing provides all-round due investigation, improves the project financing capacity and guarantees the interests of investors.
By coupling operation monitoring and data analysis of multiple energy sources such as power, cold and heat of the comprehensive energy source station, optimal utilization efficiency and lowest cost of the comprehensive energy source are guaranteed.
As shown in fig. 1, the multi-capability coupled scheduling system according to the embodiment of the present invention includes: the system comprises a scheme making module, an information acquisition module, a data service module, an operation evaluation module and a result output module, wherein information transmission and interaction are stored among the modules.
A scheme making module: based on user requirements and constraint conditions, an energy utilization requirement scheme is formulated, key parameters are set, the load rate and the operation time of the heat pump unit and the operation power and time of the air conditioner are subjected to condition constraint, and the energy utilization requirement scheme meets the user requirements and the constraint conditions. The user requirements mainly include: three requirements such as cooling demand, heating demand, power consumption load demand, the constraint condition contains: and the constraint conditions of refrigerating time, heating time, temperature maintaining time, load stable operation time and the like. The energy efficiency Coefficient (COP) is calculated by setting controllable parameters such as a cooling target temperature, a heating target temperature, a water supply temperature, a return water temperature, a hot water flow and a load rate and combining uncontrollable parameters such as an environment temperature and the like obtained by the information acquisition module and the data service module. And formulating a cooling and heating scheme meeting the user requirements and constraint conditions, and carrying out condition constraint on parameters such as the load rate and the operation duration of the heat pump unit No. 1, the load rate and the operation duration of the heat pump unit No. 2, the load rate and the operation duration of the heat pump unit No. … …, the operation power and the operation duration of the air conditioner and the like.
The information acquisition module: the system is used for collecting the information of measuring the operation of the energy equipment and the operation of the environment sensing equipment, comprises parameters required by a formulation module of a scheme such as environment temperature, water inlet temperature and the like, is read once every 1 minute, and is transmitted and stored in a data service module.
A data service module: the system is used for storing the rated power of the energy station unit, various parameters, environmental data, a scheduling scheme and information of the energy station required by scheme establishment, and completing calculation through performance Coefficient (COP) and the like obtained through calculation based on the parameters, and the calculation formula is as follows:
COP (refrigerating capacity/power consumption);
refrigerating capacity (C × M × Δ T) C × M × T (T backwater-T water supply);
C＝4.2×103J/kg℃；
M＝Q×h＝D×1h；
delta T ═ (return T-supply T) T represents temperature in degrees celsius;
q is the system water flow, D represents the data acquisition value, and the unit is M3/h；
Note: the heating and cooling formulas are the same.
An operation evaluation module: the energy station comprehensive energy supply scheduling system is used for performing comprehensive energy supply scheduling on the basis of information acquired by the information acquisition module and combined with historical data, historical scheduling schemes and the like in the database. The method mainly comprises the following steps: the system comprises a compliance evaluation unit, a key equipment evaluation unit, a comprehensive energy utilization efficiency evaluation unit (an electric energy efficiency evaluation module, a cooling efficiency evaluation module and a heating efficiency evaluation module) and a yield evaluation unit.
The compliance evaluation unit is used for evaluating whether boundary conditions are in compliance, the boundary conditions are that whether the theoretically calculated heat supply amount/cold supply amount meets the requirements of a user side, whether the total operating power of the equipment exceeds a limit, and whether the heat pump operation meets the requirement of the lowest load rate; the key equipment evaluation unit is used for utilizing high-frequency data such as water supply temperature, return water temperature, water flow, power consumption of the heat pump unit and the like acquired by the heat pump unit, eliminating abnormal data outside a random error range by a Lauda criterion method, comparing the abnormal data with sample data during unit operation test, and evaluating the operation condition of the key equipment; the comprehensive energy utilization efficiency evaluation unit utilizes a low-capacity edge computing terminal at the low end in the multi-station-in-one distributed energy station to complete energy utilization efficiency evaluation and ensure safe and reliable operation; and the yield evaluation unit is used for evaluating the overall operation economy, calculating the electricity consumption cost according to the actual time-of-use electricity price through the sum of the heat pump electricity consumption and the air conditioner electricity consumption, and further comparing the electricity consumption cost with a test scheme and a historical scheduling scheme and ensuring the energy conservation and emission reduction.
A result output module: for outputting the scheduling scheme and the scheme condition evaluation result.
The invention provides another technical scheme that: the invention discloses a multi-energy coupling scheduling method of a multi-station fusion type distributed energy station, which is based on a multi-energy coupling scheduling system of the multi-station fusion type distributed energy station and relies on a calculation method of a low-end small-capacity edge calculation terminal in the multi-station integration distributed energy station, wherein the method comprises the following steps:
comprehensively considering the characteristics of cold and hot shutdown delay and electric energy transient, carrying out quantitative analysis and modeling on uncertain factors of the multi-energy coupling scheduling algorithm, and comprising the following steps: typical time sequence analysis is carried out on cold and heat utilization effects of a user side, as shown in fig. 3 and 4, when a ground source heat pump is adopted for heating, starting time and hot water conduction heating efficiency are low, and the environment temperature rises slowly; after the heat supply is stopped, the ambient temperature is slowly faded when the ground source heat pump is used, sensitivity analysis of controllable factors and uncontrollable factors is carried out through test data and historical operation data acquired by an information acquisition module before according to cold and heat using requirements of a user in different time periods in combination with the operation efficiency (COP) of the ground source heat pump, digital modeling of heat supply/cold effects of the ambient temperature and the operation duration of a unit is completed, a plurality of energy supply schemes which accord with compliance evaluation under the condition of different energy using requirements are determined, wherein the middle part in a regulation and control range is taken as a moderate regulation and control scheme, the upper limit and the lower limit of the regulation and control range are respectively taken as a scheme 1 and a scheme 2, a regulation and control scheme template is formulated according to the prediction results of cost and effect under different schemes, and different requirements such as highest utilization rate, best economic efficiency, best body feeling and the like are set according to the final requirements of the user, and automatically configuring the optimal operation scheduling scheme.
The following describes a comprehensive energy scheduling operation mode by taking an electric heating, heating and cooling multi-station integrated energy station in a certain area as an example in combination with a specific implementation example:
and S1, in a typical situation testing environment, keeping other conditions unchanged, collecting single conditions, adjusting the collected single conditions by +/-5 percent respectively, after 10 percent of adjustment, determining the influence degree of each parameter on the temperature of the user side, and determining the sensitivity influence factors of each parameter, wherein the sensitivity influence factors comprise controllable parameters such as the number/power of temporary energy utilization equipment, preset temperature, area, air conditioner operation power and heat pump operation power, and uncontrollable parameters such as environment temperature, the number/power of fixed energy utilization equipment and electricity charge unit price.
S2, setting a reasonable regulation and control range of the key parameters in a typical load day according to the historical conditions of the parameters in the region and judgment of experts, using the reasonable regulation and control range as a moderate scheduling scheme, and then floating the regulation and control range up and down to serve as an alternative scheme. The method comprises the following specific steps:
and S3, obtaining the operation result of the heat pump and the electric equipment combination according to the operation scheme, and taking the operation result as a preliminary operation scheme.
And S4, performing 10000 times of simulation by using a Monte Carlo model, and combining a heat pump waste heat circulation shutdown delay function to obtain a heat pump and air conditioning equipment combined operation power and operation time result.
S5, testing the environment temperature in the result output module, assuming that the upper limit of the environment temperature is 18 ℃, but all the schemes are not satisfied, indicating that the regulation and control range of the controllable parameters (mainly the requirements of the temporary energy utilization equipment) needs to be narrowed, further circulating again, and finally determining the energy supply scheme, wherein the whole flow is shown in figure 2.
It will be appreciated by those skilled in the art that the invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The embodiments disclosed above are therefore to be considered in all respects as illustrative and not restrictive. All changes which come within the scope of or equivalence to the invention are intended to be embraced therein.
Claims (10)
1. A multi-energy coupling scheduling system for a multi-station fusion type distributed energy station, comprising:
the scheme making module is used for making an energy utilization requirement scheme based on the user requirement and the constraint condition;
the information acquisition module is used for acquiring the operation measurement information of the energy equipment and the operation measurement information of the environment sensing equipment;
the data service module is used for storing and calculating the obtained performance coefficient;
the operation evaluation module is used for carrying out comprehensive energy supply scheduling on the energy station based on the operation of the energy equipment and the operation measurement information of the environment sensing equipment by combining historical data and a historical scheduling scheme in the database;
and the result output module is used for outputting the scheduling scheme and the scheme condition evaluation result.
2. The multi-station fusion type distributed energy source station multi-energy coupling scheduling system according to claim 1, wherein the user requirements mainly include: cooling demand, heating demand, and electrical load demand.
3. The multi-station fusion type distributed energy station multi-energy coupling scheduling system according to claim 1, wherein the constraint condition includes: refrigerating time, heating time, temperature maintaining time and load stable operation time.
4. The multi-station fusion type distributed energy source station multi-energy coupling scheduling system of claim 1, wherein the information acquisition module is further configured to obtain an uncontrollable parameter.
5. The multi-station fusion type distributed energy station multi-energy coupling scheduling system according to claim 4, wherein the uncontrollable parameter is an ambient temperature.
6. The multi-energy coupling scheduling system of the multi-station fusion type distributed energy station according to claim 1, wherein the energy device operation and environment sensing device operation measurement class information comprises: the ambient temperature and the water inlet temperature are read every 1 minute and transmitted and stored in the data service module.
7. The multi-station fusion type distributed energy station multi-energy coupling scheduling system according to claim 1, wherein the coefficient of performance calculation formula is as follows:
COP (refrigerating capacity/power consumption);
refrigerating capacity (C × M × Δ T) C × M × T (T backwater-T water supply);
C＝4.2×103J/kg℃；
M＝Q×h＝D×1h；
delta T ═ (return T-supply T) T represents temperature in degrees celsius;
q is the system water flow, D represents the data acquisition value, and the unit is M3/h。
8. The multi-station fusion type distributed energy station multi-energy coupling scheduling system according to claim 1, wherein the operation evaluation module comprises: the system comprises a compliance evaluation unit, a key equipment evaluation unit, a comprehensive energy utilization efficiency evaluation unit and a yield evaluation unit;
the compliance evaluation unit is used for evaluating whether boundary conditions are in compliance, the boundary conditions are that whether the theoretically calculated heat supply amount/cold supply amount meets the requirements of a user side, whether the total operating power of the equipment exceeds a limit, and whether the operation of the heat pump meets the requirement of the lowest load rate;
the key equipment evaluation unit is used for evaluating the operation condition of the key equipment by utilizing the water supply temperature, the return water temperature, the water flow and the power consumption of the heat pump unit and eliminating abnormal data outside a random error range through a Lauda criterion method and then comparing the abnormal data with sample data during the unit operation test;
the comprehensive energy utilization efficiency evaluation unit is used for finishing energy utilization efficiency evaluation by utilizing a low-capacity edge computing terminal at the low end in the multi-station-in-one distributed energy station;
and the yield evaluation unit is used for evaluating the overall operation economy, calculating the electricity consumption cost according to the actual time-of-use electricity price through the sum of the heat pump electricity consumption and the air conditioner electricity consumption, and further comparing the electricity consumption cost with a test scheme and a historical scheduling scheme and ensuring the energy conservation and emission reduction.
9. The multi-station fusion type distributed energy source station multi-energy coupling scheduling system according to claim 8, wherein the integrated energy use efficiency evaluating unit includes: the system comprises an electric energy efficiency evaluation module, a cooling efficiency evaluation module and a heating efficiency evaluation module.
10. A method for scheduling multi-energy coupling of a multi-station fusion type distributed energy station, based on the system for scheduling multi-energy coupling of a multi-station fusion type distributed energy station of claim 1, comprising:
determining a plurality of energy supply schemes which meet the compliance evaluation under the situation of different energy consumption demands;
taking the middle part in the regulation range as a moderate regulation scheme, and respectively taking the upper limit and the lower limit of the regulation range as a scheme 1 and a scheme 2;
and formulating a regulation and control scheme template according to the prediction results of cost and effect under different schemes, and configuring the closest regulation and control scheme template as an optimal operation scheduling scheme according to the final requirements of users.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113313410A (en) * | 2021-06-17 | 2021-08-27 | 国网河北省电力有限公司电力科学研究院 | Multi-energy coupling modeling evaluation method and device and terminal equipment |
| CN113312773A (en) * | 2021-05-31 | 2021-08-27 | 东南大学 | Energy efficiency refinement method of ground source heat pump equipment |
| CN113743768A (en) * | 2021-08-30 | 2021-12-03 | 国网上海市电力公司 | Improved method for multi-station fusion |
| CN114169737A (en) * | 2021-12-02 | 2022-03-11 | 广西电网有限责任公司电力科学研究院 | Local distributed multi-energy balanced scheduling method and system |
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2020
- 2020-12-14 CN CN202011468472.1A patent/CN112614013A/en active Pending
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113312773A (en) * | 2021-05-31 | 2021-08-27 | 东南大学 | Energy efficiency refinement method of ground source heat pump equipment |
| CN113312773B (en) * | 2021-05-31 | 2024-04-19 | 东南大学 | Energy efficiency refining method of ground source heat pump equipment |
| CN113313410A (en) * | 2021-06-17 | 2021-08-27 | 国网河北省电力有限公司电力科学研究院 | Multi-energy coupling modeling evaluation method and device and terminal equipment |
| CN113743768A (en) * | 2021-08-30 | 2021-12-03 | 国网上海市电力公司 | Improved method for multi-station fusion |
| CN114169737A (en) * | 2021-12-02 | 2022-03-11 | 广西电网有限责任公司电力科学研究院 | Local distributed multi-energy balanced scheduling method and system |
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