CN109946977A - Wisdom garden energy source optimization dispatching method containing cold, heat and power triple supply system - Google Patents
Wisdom garden energy source optimization dispatching method containing cold, heat and power triple supply system Download PDFInfo
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- CN109946977A CN109946977A CN201910333325.4A CN201910333325A CN109946977A CN 109946977 A CN109946977 A CN 109946977A CN 201910333325 A CN201910333325 A CN 201910333325A CN 109946977 A CN109946977 A CN 109946977A
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Abstract
The invention proposes the wisdom garden energy source optimization dispatching methods containing cold, heat and power triple supply system, it is optimized on the basis of conventional electric power energy resource system model, cold, heat and electricity three-way of making rational planning for supplies system micro battery, energy storage, the Optimized Operation of heat production production cool equipment, meet economy, the feature of environmental protection, the operational objective of reliability, utmostly consider intercoupling and converting for cool and thermal power energy flow link, the especially operation constraint of system equipment itself, foundation more meets actual transforming relationship equation, rather than simple energy flow converts coefficient of first order, carry out modeling and simulating, relevant parameter and corresponding wisdom garden device type are set in advance, establish corresponding input/output port, user only needs to input the cold and hot electric load of typical day and place capacity, the optimal scheduling result of typical day energy source optimization can be obtained.
Description
Technical field
The invention belongs to New-energy power systems and micro-capacitance sensor technical field, and in particular to containing cold, heat and power triple supply system
Wisdom garden energy source optimization dispatching method.
Background technique
What famous American scholar Jeremy Jeremy Rifkin proposed first in " the third time industrial revolution " (2011) one book.By
In fossil fuel peter out and its caused by problem of environmental pollution, established in second industrial revolution based on fossil fire
Expect that the industrial model utilized on a large scale is moving towards to terminate.Jeremy Rifkin prophesy, with the deep knot of new energy technology and information technology
It is combined into the new using energy source system of one kind of feature, i.e., " energy internet " (Energy Internet) will occur.
Supply of cooling, heating and electrical powers initial stage is grown up on the basis of cogeneration.Cogeneration system is by power generation cycle
Waste heat directly recycle for heat supply, to improve the service efficiency of the energy.Early 20th century, cogeneration enter century using rank
Section, main power generation means were coal-burning boiler driving steam turbine generations in the world at that time.Summer, unit load be in peak and
Thermic load is relatively low, so that the runing adjustment of unit is difficult, the energy saving economy type of unit is also reduced very much.It is asked to solve this
Topic uses supply of cooling, heating and electrical powers technology, cogeneration and absorption or adsorptive refrigeration technology is combined, steam power plant is made to exist
Also thermal energy and cold energy can be supplied while power supply.After distributed energy resource system proposes, the application field of cooling heating and power generation system
Gradually it is extended to more areas.
Summary of the invention
It is an object of the present invention to meet user's economy, the feature of environmental protection, the operational objective of reliability, user only needs to input
The cool and thermal power load index and place capacity of system, can obtain the optimal distributing scheme of system call.
A kind of wisdom garden energy source optimization dispatching method containing cold, heat and power triple supply system, which is characterized in that in traditional electricity
It is optimized on the basis of power energy resource system model, cold, heat and electricity three-way of making rational planning for supplies system micro battery, energy storage, and heat production produces cold
The Optimized Operation of equipment meets economy, the feature of environmental protection, the operational objective of reliability.
Utmostly consider intercoupling and converting for cool and thermal power energy flow link, the especially operation of system equipment itself
Constraint, foundation more meets actual transforming relationship equation, rather than simple energy flow converts coefficient of first order, and it is imitative to carry out modeling
Very.
Relevant parameter and corresponding wisdom garden device type are set in advance, establishes corresponding input/output port, are used
Family only needs to input the cold and hot electric load of typical day and place capacity, and the optimal scheduling result of typical day energy source optimization can be obtained.
Detailed description of the invention
Fig. 1 is improved cold, heat and power triple supply system illustraton of model.
Fig. 2 is to the capacity of system equipment, type, and relevant parameter is inputted.
Fig. 3 is the cold and hot electric load to typical day, and the per unit value of photovoltaic wind device power output is inputted.
Fig. 4 is that can the place capacity of program judgement input meet the cold and hot electrical load requirement of system.
Fig. 5 is the optimal scheduling result for exporting energy source optimization.
Fig. 6 is the debugging result 1 for exporting energy source optimization.
Fig. 7 is the debugging result 2 for exporting energy source optimization.
Fig. 8 is the debugging result 3 for exporting energy source optimization.
Specific embodiment
Invention is further described with reference to the accompanying drawing.
In Fig. 1, traditional electric power system model is improved, joined cold-storage and thermal storage equipment, gas turbine engine systems,
Can there are also various cold and hot sources of supply, especially geothermal heat pump etc., improve efficiency of energy utilization, meet the cold and hot of complexity
Electric load variation needs.
Earth source heat pump can use shallow layer geothermal energy as heat source, under the driving of a small amount of electric energy, realize energy by low product
Conversion of the position electric energy to high-grade thermal energy and cold energy, relative to traditional energy conversion equipment, heat pump assembly, which can export, to be disappeared
The energy that 3~8 times of consuming electric power improves the utilization efficiency of the energy to considerably reduce the consumption of non-renewable energy.Heat pump dress
The advantages that set has safety and stability reliable in operation, easy to maintain and management, environmentally protective, is one very promising
Power-saving technology.In view of there are coupled relations between the power generation of current CCHP system, refrigeration, heating, complicated multiclass can not be directly matched
The workload demand of type.And earth source heat pump energy supply is filled with the shortcoming of CCHP system, the two is cooperated flexibly and convenient for control
Using can preferably have complementary advantages, flexibility and economy that system is adjusted are improved.
System can list the device type and model for needing selection, user can according to own situation in Fig. 2 to equipment
Capacity, type, relevant parameter is inputted, including photovoltaic, wind-powered electricity generation, gas turbine, waste heat boiler, and earth source heat pump is absorption
Refrigeration machine, electric refrigerating machine etc..
The typical day of different regions Various Seasonal, cold and hot electric load was different, needed user in the light of actual conditions defeated in Fig. 3
Enter the cool and thermal power scene related data of typical day.
In Fig. 4, system can be calculated by the device parameter of input, the cold and hot electric load that the system of obtaining can supply
Up and down limitation, and judge typical day cold and hot electric load whether system supply bound within, if so, optimizing meter
It calculates, if it is not, then providing user's prompt, such as " the 5th moment electric load is excessive ", " the 17th moment thermic load is excessive " etc..
In Fig. 5, system is solved according to the device parameter and typical day data of input, obtains the optimal of equipment scheduling
As a result and meet that energy consumption is minimum or abandonment abandon light rate it is minimum under the premise of, the optimal value of each moment power output of equipment.
It, can under the premise of meeting place capacity parameter and meeting the requirements specifically, the annual each typical day data of input
To obtain the year optimal energy consumption cost under optimal scheduling, year O&M cost, year investment, gas turbine start-up and shut-down costs, battery replaces
Change the every result of this grade into.
Input equipment parameter is debugged, gas turbine rated capacity is turned down, obtain system prompt as shown in fig. 6,
System generated output i.e. at this time is not able to satisfy the electrical load requirement at certain moment, tallies with the actual situation.
Input equipment parameter is debugged, sets winter typical day data for cold and hot electric load of typical day, it is hot at this time
Load obviously rises, and it is as shown in Figure 7 to obtain optimum results, it can be seen that earth source heat pump is switched to winter system by cooling in summer state
Warm status tallies with the actual situation.
Input equipment parameter is debugged, electricity price is turned up, it is as shown in Figure 8 to obtain optimum results, it can be seen that system
It is decreased obviously at this time from outer net transaction electricity, gas turbine power generation amount obviously rises, and tallies with the actual situation.The above simulation result card
Correctness of the invention is illustrated.
Claims (3)
1. a kind of wisdom garden energy source optimization dispatching method containing cold, heat and power triple supply system, which is characterized in that in conventional electric power
It is optimized on the basis of energy resource system model, cold, heat and electricity three-way of making rational planning for supplies system micro battery, energy storage, and heat production produces cold set
Standby Optimized Operation meets economy, the feature of environmental protection, the operational objective of reliability.
2. the wisdom garden energy source optimization dispatching method according to claim 1 containing cold, heat and power triple supply system, feature
It is, utmostly considers intercoupling and converting for cool and thermal power energy flow link, the especially operation of system equipment itself about
Beam, foundation more meets actual transforming relationship equation, rather than simple energy flow converts coefficient of first order, and it is imitative to carry out modeling
Very.
3. the wisdom garden energy source optimization dispatching method according to claim 1 containing cold, heat and power triple supply system, feature
It is, sets relevant parameter and corresponding wisdom garden device type in advance, establishes corresponding input/output port, user is only
The cold and hot electric load and place capacity that typical day need to be inputted, can be obtained the optimal scheduling result of typical day energy source optimization.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110298138A (en) * | 2019-07-09 | 2019-10-01 | 南方电网科学研究院有限责任公司 | Comprehensive energy system optimization method, device, equipment and readable storage medium |
| CN110474335A (en) * | 2019-09-18 | 2019-11-19 | 国网江苏省电力有限公司徐州供电分公司 | A kind of integrated energy system operation method based on interpretational criteria |
-
2019
- 2019-04-24 CN CN201910333325.4A patent/CN109946977A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110298138A (en) * | 2019-07-09 | 2019-10-01 | 南方电网科学研究院有限责任公司 | Comprehensive energy system optimization method, device, equipment and readable storage medium |
| CN110298138B (en) * | 2019-07-09 | 2024-01-05 | 南方电网科学研究院有限责任公司 | Comprehensive energy system optimization method, device, equipment and readable storage medium |
| CN110474335A (en) * | 2019-09-18 | 2019-11-19 | 国网江苏省电力有限公司徐州供电分公司 | A kind of integrated energy system operation method based on interpretational criteria |
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Application publication date: 20190628 |