CN110059853B - Configuration method of equipment in combined cooling heating and power system - Google Patents
Configuration method of equipment in combined cooling heating and power system Download PDFInfo
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- 238000001816 cooling Methods 0.000 title claims abstract description 36
- 238000010438 heat treatment Methods 0.000 title claims abstract description 33
- 238000000034 method Methods 0.000 title claims abstract description 33
- 238000009434 installation Methods 0.000 claims abstract description 15
- 239000007789 gas Substances 0.000 claims description 70
- 238000002485 combustion reaction Methods 0.000 claims description 31
- 238000012423 maintenance Methods 0.000 claims description 30
- 238000005057 refrigeration Methods 0.000 claims description 29
- 238000004146 energy storage Methods 0.000 claims description 27
- 238000010977 unit operation Methods 0.000 claims description 12
- 239000002245 particle Substances 0.000 claims description 10
- 238000004422 calculation algorithm Methods 0.000 claims description 8
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 claims description 8
- 238000010248 power generation Methods 0.000 claims description 6
- 239000003345 natural gas Substances 0.000 claims description 4
- AMXOYNBUYSYVKV-UHFFFAOYSA-M lithium bromide Chemical group [Li+].[Br-] AMXOYNBUYSYVKV-UHFFFAOYSA-M 0.000 claims description 3
- 239000002918 waste heat Substances 0.000 claims description 3
- 238000005485 electric heating Methods 0.000 abstract description 4
- 230000005611 electricity Effects 0.000 description 8
- 238000011156 evaluation Methods 0.000 description 7
- GDTBXPJZTBHREO-UHFFFAOYSA-N bromine Substances BrBr GDTBXPJZTBHREO-UHFFFAOYSA-N 0.000 description 6
- 229910052794 bromium Inorganic materials 0.000 description 6
- 238000005457 optimization Methods 0.000 description 6
- WKBOTKDWSSQWDR-UHFFFAOYSA-N Bromine atom Chemical compound [Br] WKBOTKDWSSQWDR-UHFFFAOYSA-N 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 4
- 238000004458 analytical method Methods 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 3
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- 238000011234 economic evaluation Methods 0.000 description 3
- 238000004519 manufacturing process Methods 0.000 description 3
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- 229910052799 carbon Inorganic materials 0.000 description 2
- 238000005266 casting Methods 0.000 description 2
- 230000008859 change Effects 0.000 description 2
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Abstract
The invention discloses a configuration method of equipment in a combined cooling, heating and power system, which comprises the following steps: based on investment cost and operation cost of equipment in the combined cooling, heating and power system, establishing an objective function with the lowest comprehensive energy degree energy cost; establishing an equality constraint condition and an inequality constraint condition of a combined cooling, heating and power system; and solving the objective function to determine the type and the installation capacity of the equipment. The comprehensive energy capacity configuration is determined by taking the lowest energy cost as a target, so that the real-time power requirement of a user on electric heating and cooling is met.
Description
Technical Field
The invention relates to the technical field of power distribution network planning, in particular to a configuration method of equipment in a combined cooling, heating and power system.
Background
The project economic evaluation is single, the third party investment economic evaluation is considered as the main, and meanwhile, the project evaluation cost ratio of the third party investment and the owner self-throwing is considered to be less. For example, the patent 'an energy station configuration method in a regional energy planning and design stage' carries out simulation calculation on the cold and hot electric loads of buildings in a region to obtain regional load characteristics; obtaining a primary energy technology according to geography, resources, meteorological features and regional load features in a region; obtaining basic parameters of technical equipment and energy prices corresponding to the primary energy technology; establishing a regional energy station configuration model, wherein the configuration model considers the production cost, operation maintenance cost, price change of daytime energy, free market trading mechanism, cold and heat accumulation, carbon emission tax rate and equipment efficiency change along with the operation state of energy sources; a branch cutting algorithm is applied to solve an area energy station configuration model to obtain energy technology types and corresponding configuration capacity, but the accuracy of an objective function and the economy of a project are not researched; the patent 'a comprehensive evaluation method of micro-grid' comprehensively evaluates distributed energy projects by taking economy and carbon emission as objective functions, but the technology is based on deterministic equipment capacity for analysis. The patent 'a small-sized energy Internet multi-source optimization comprehensive evaluation method and system' discloses a small-sized energy Internet multi-source optimization comprehensive evaluation method and system, a hybrid multi-attribute complex evaluation index system is established from three aspects of energy network optimization, energy use optimization and energy service optimization, and the actually operated small-sized multi-source energy Internet is comprehensively evaluated, so that a reference basis is provided for the optimization construction of the energy Internet, but no detailed study is made on the accuracy of an objective function and the economic evaluation of a project.
The prior art considers that the one-time investment cost is optimal as an objective function, but does not consider the consumption cost of owners, and cannot meet the real-time power requirement of users on electric heating and cooling.
Therefore, it is necessary to provide a method for configuring the devices in the combined cooling, heating and power system.
Disclosure of Invention
The invention aims at overcoming the defects of the prior art and provides a configuration method of equipment in a combined cooling, heating and power system.
The invention is realized by the following technical scheme:
the invention provides a configuration method of equipment in a combined cooling, heating and power system, which comprises the following steps:
based on investment cost and operation cost of equipment in the combined cooling, heating and power system, establishing an objective function with the lowest comprehensive energy degree energy cost; the combined cooling heating and power system comprises a gas internal combustion engine, refrigerating equipment, a gas boiler and energy storage equipment; wherein the unit investment cost of the gas internal combustion engine is a1, the unit investment cost of the refrigeration equipment is b1, and the unit investment cost of the gas boiler is c1; investment cost of the gas internal combustion engine isInvestment cost of refrigeration equipment is->Investment cost of the gas boiler is ∈>The unit investment cost of the energy storage device is d1, and the investment cost of the energy storage device is +.>The operating costs of a gas internal combustion engine include gas costs ∈ ->Device operation and maintenance cost M chp *P chp The cost of the refrigeration equipment comprises equipment operation and maintenance cost M absc *C absc And heat consumption cost Heatusage absc * Heatpace, the operating costs of gas boilers include gas costs +.>And equipment operation and maintenance cost M ngc *H ngc The operation cost of the energy storage device comprises the device operation and maintenance cost M bat *C bat The method comprises the steps of carrying out a first treatment on the surface of the Wherein Gasprice refers to natural gas price, M chp Refers to the unit operation and maintenance cost, M of the gas internal combustion engine ngc Refers to the unit operation and maintenance cost, M of the gas boiler absc Refers to the unit operation and maintenance cost and heatage of the refrigeration equipment absc Refers to the heat power consumed by the refrigeration equipment, M bat The unit operation and maintenance cost of the energy storage equipment is referred; the objective function is:
establishing an equality constraint condition and an inequality constraint condition of a combined cooling, heating and power system;
and solving the objective function to determine the type and the installation capacity of the equipment.
Preferably, the solving the objective function includes:
and solving the objective function through a particle swarm algorithm.
Preferably, the equality constraint comprises a power balance constraint.
Preferably, the power balance constraint includes that the generated power is equal to the load power, the heating power is equal to the thermal load power, and the cooling power is equal to the cold load power.
Preferably, the gas internal combustion engine and the gas boiler satisfy the following equations:
wherein eta chp Power generation efficiency eta of gas internal combustion engine ngc For gas boiler efficiency beta chp Hot spot ratio of the gas internal combustion engine;
the power of the waste heat utilization of the gas internal combustion engine and the power of the generator meet the equality constraint of the thermoelectric ratio: h chp *β chp ＝P chp 。
Preferably, the inequality constraint comprises that the power of the energy storage device, the gas internal combustion engine, the refrigeration device and the gas boiler does not exceed the corresponding rated power.
Preferably, the particle swarm in the particle swarm algorithm comprises a capacity and a type of a device.
Preferably, the refrigeration device comprises a lithium bromide unit.
Preferably, the energy storage device comprises an energy storage battery.
The configuration method of the equipment in the combined cooling, heating and power system provided by the invention has the following technical effects:
the configuration method of the equipment in the combined cooling, heating and power system provided by the invention aims at the lowest energy cost to determine the comprehensive energy capacity configuration, thereby meeting the real-time power requirement of a user on electric heating and cooling.
Drawings
In order to more clearly illustrate the technical solutions of the present invention, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are only embodiments of the present invention, and that other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a method for configuring equipment in a combined cooling, heating and power system according to an embodiment of the present invention;
fig. 2 is a graph of power generation of equipment in a combined cooling, heating and power system according to an embodiment of the present invention;
fig. 3 is a heating curve of a device in a combined cooling, heating and power system according to an embodiment of the present invention;
fig. 4 is a refrigeration curve of a device in a combined cooling, heating and power system according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
It should be noted that the terms "comprises" and "comprising," along with any variations thereof, in the description and claims of the present invention are intended to cover non-exclusive inclusion, such as a process, method, system, article of manufacture that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed or inherent to such process, method, article of manufacture, or apparatus.
Referring to fig. 1, fig. 1 is a schematic flow chart of a method for configuring equipment in a combined cooling, heating and power system according to an embodiment of the present invention, and the present specification provides the steps of the method according to the embodiment or the flowchart, but may include more or fewer steps based on conventional or non-inventive labor. The order of steps recited in the embodiments is merely one way of performing the order of steps and does not represent a unique order of execution.
The method of the embodiment comprises the following steps:
s101, establishing an objective function with the lowest comprehensive energy degree energy cost based on the investment cost and the operation cost of equipment in a combined cooling, heating and power system; the combined cooling heating and power system comprises a gas internal combustion engine, refrigerating equipment, a gas boiler and energy storage equipment; wherein the unit investment cost of the gas internal combustion engine is a1, the unit investment cost of the refrigeration equipment is b1, and the unit investment cost of the gas boiler is c1; investment cost of the gas internal combustion engine isInvestment cost of refrigeration equipment is->Investment cost of the gas boiler is ∈>The unit investment cost of the energy storage equipment is d1, and the investment cost of the energy storage equipment isThe operating costs of a gas internal combustion engine include gas costs ∈ ->Device operation and maintenance cost M chp *P chp The cost of the refrigeration equipment comprises equipment operation and maintenance cost M absc *C absc And heat consumption cost Heatusage absc * Heatpace, the operating costs of gas boilers include gas costs +.>And equipment operation and maintenance cost M ngc *H ngc The operation cost of the energy storage device comprises the device operation and maintenance cost M bat *C bat The method comprises the steps of carrying out a first treatment on the surface of the Wherein Gasprice refers to heavenPrice of natural gas, M chp Refers to the unit operation and maintenance cost, M of the gas internal combustion engine ngc Refers to the unit operation and maintenance cost, M of the gas boiler absc Refers to the unit operation and maintenance cost and heatage of the refrigeration equipment absc Refers to the heat power consumed by the refrigeration equipment, M bat The unit operation and maintenance cost of the energy storage equipment is referred; the objective function is:
s103, establishing an equality constraint condition and an inequality constraint condition of the combined cooling, heating and power system;
in some embodiments, the equality constraint and inequality constraint are as follows:
H(i)＝0,i＝1,2,3…,k；
g(j)≤0,j＝1,2,3…,m；
wherein H (i) =0 is an equality constraint, and g (j). Ltoreq.0 is an inequality constraint; h represents all equality constraints, g represents all inequality constraints, and i and j are variables.
In some embodiments, the equality constraint comprises a power balance constraint comprising the generated power being equal to the load power P load +P cha ＝P chp +P dis Heating power is equal to heat load power H chp +H ngc ＝H load The refrigerating power is equal to the cold load power C chp +C ngc ＝C load The method comprises the steps of carrying out a first treatment on the surface of the The gas internal combustion engine and the gas boiler satisfy the following equations:
wherein eta chp Power generation efficiency eta of gas internal combustion engine ngc For gas boiler efficiency beta chp Hot spot ratio of the gas internal combustion engine;
the power of the waste heat utilization of the gas internal combustion engine and the power of the generator meet the equality constraint of the thermoelectric ratio: h chp *β chp ＝P chp 。
In some embodiments, the inequality constraint includes that the power of the energy storage device, the gas internal combustion engine, the refrigeration device, and the gas boiler does not exceed their respective rated powers, i.e.
In practical applications, generally, the refrigeration device includes a lithium bromide unit, and the energy storage device includes an energy storage battery.
S105, solving the objective function, and determining the type selection and the installation capacity of the equipment.
In some embodiments, solving the objective function by a particle swarm algorithm to determine the type and installation capacity of the device; the update speed in the calculation comprises the update of the capacity of the equipment and the update of the start-stop of the equipment, and whether the target requirement is met mainly refers to whether the investment yield is highest.
The particle swarm in the particle swarm algorithm comprises a capacity and a type of the device.
In one embodiment, the electrical load data, thermal load data, and cold load data are selected as follows:
the data units are kW;
device parameters:
the unit cost of the CHP unit is 3000 yuan/kW, the maintenance cost is 0.15 yuan/kWh, the service life is 20 years, the rated power is 1MW, the lowest load rate is 10%, the power generation efficiency is 33%, and the thermoelectric ratio is 1.8. Whether the forced installation is set to no.
The upper and lower limits of the installation capacity of the gas boiler are set to 0-10000kW, the fixed cost is 1000 yuan, the variable cost is 5000 yuan/kW, the efficiency is 90%, the gas boiler runs for 20 years, and the operation and maintenance cost is 0.15 yuan/kWh. Whether the forced installation is set to no.
The upper limit and the lower limit of the installation capacity of the bromine cooler are set to be 0-10000kW, the fixed cost is 1000 yuan, the variable cost is 2000 yuan/kW, the COP 2 is operated for 20 years, and the operation and maintenance cost is 0.15 yuan/kWh. Whether the forced installation is set to no.
The upper and lower limits of the electric refrigeration installation capacity are set to 0-10000kW, the fixed cost is 1000 yuan, the variable cost is 2000 yuan/kW, the COP 4 is operated for 20 years, and the operation and maintenance cost is 0.15 yuan/kWh. Whether the forced installation is set to no.
The energy storage battery has the parameters of 5 years of service life, 1000 yuan of fixed cost, 2000 yuan/kWh of unit capacity cost, 0.12 yuan/kWh of maintenance cost, 95% of battery charging efficiency, 95% of battery discharging efficiency, 5% of battery self-discharging rate, 0kWh of lower limit of battery capacity, 1000kWh of upper limit of battery capacity, 10% of minimum SOC of the battery, 90% of limit of single-charge proportion of the battery, 90% of limit of single-discharge proportion of the battery and 3000 times of charge and discharge. Whether the forced installation is set to no.
Resource data:
the input gas price is 2.7 yuan/m 3, and the heat value of the natural gas is 36MJ/m 3 。
Electricity price data:
the electricity price data unit is yuan/kWh;
the particle swarm algorithm is used for obtaining CHP, gas boiler, bromine cooler and electric refrigeration of selected equipment;
CHP installation capacity 1000kW, energy storage battery 1.9MWh, bromine cooler 14kW, gas boiler 87.45kW, electric refrigeration 0kW.
In practical application, generally, after the type selection and the installation capacity of the equipment are determined, a differentiated investment evaluation analysis calculation model is established according to the project investor type based on the configuration result, so that the requirements of an investor or a proprietor on the early project design evaluation result are more accurately met.
From the perspective of the project sponsor: as a result of the typical daily load, the annual revenue portion of the project includes:
income＝∑(P chp *ElectricityPrice+H chp *HeatPrice+C Absc *CoolPrice+H ngc *HeatPrice)
annual expenditure of items:
initial investment of project:
invest＝a1*C chp +b1*C Absc +c1*C ngc +d1*C bat
cash flow (Cash flow) formula for project construction period of 20 years:
cashflow＝[-invest,income-expense,...,income-expense]
internal yield of project: IRR (cashflow)
From the perspective of main automatic casting: as a result of the typical daily load, the annual revenue portion of the project includes:
income＝∑(P chp *ElectricityP r ice_grid+H chp *HeatPrice_plant+C Absc *CoolPrice_ele+H ngc *HeatPrice_plant)
where electric price_grid refers to the price of electricity purchased from the grid, heatprice_plant refers to the price of heat purchased from the power plant, and coolprice_ele refers to the price of electricity refrigeration.
Annual expenditure of the project is as follows:
the initial investment of the project is as follows:
invest＝a1*C chp +b1*C Absc +c1*C ngc
the cash flow formula for the project construction period of 20 years is as follows:
cashflow1＝[-invest,income-expense,...,income-expense]
internal yield of project: IRR1 (cashflow)
Project test for Shanghai certain triple supply project
As shown in fig. 2, fig. 2 is power electricity curve —a power generation curve; wherein the electric load is an electric load; power sent to bat-electric charging; power discharge from bat-discharge of the battery; power generateCHP-cogeneration of power plants; the abscissa is time, units: the ordinate is electric power in units of hours: kW. The electric load curve is overlapped with the battery discharge curve, and the electric power charging curve is overlapped with the cogeneration curve of the power plant; the electrical load is mainly provided by CHP, and the deficiency is supplemented by the grid.
As shown in fig. 3, fig. 3 is a heat cure-heating curve; wherein heat generate CHP-cogeneration; heat NGB-gas fired boiler; the abscissa is time, units: the ordinate is heating power in units of hours: kW. The heat load is mainly provided by CHP, and the gas boiler performs auxiliary regulation.
As shown in fig. 4, fig. 4 is a refrigeration curve in which cooling load is a cooling load; a cool Absc-bromine chiller; the cold load curve coincides with the bromine cooler curve, and the abscissa is time in units: the ordinate is the refrigeration power in units of hours: kW. The cooling load is mainly provided by a bromine cooler.
Project economy result analysis considering third party investment and owner self-casting:
after determining boundary conditions such as electricity price, heat price, cold price and gas price negotiated with the user, the internal yield of the third party investment is 12.5%, and the investment recovery period is 7.5 years; if the automatic charging is performed by the owner, the electricity price, the heat price and the cold price refer to the existing industrial electricity price, the heat price and the cold price as boundary conditions, the internal return rate of the investment is 15.4%, and the investment recovery period is 5.1 years.
According to the technical scheme provided by the embodiment of the specification, the invention provides a configuration method of equipment in a combined cooling, heating and power system, and the comprehensive energy capacity configuration is determined with the aim of lowest energy cost, so that the real-time power requirement of a user on electric heating and cooling is met.
It should be noted that: the sequence of the embodiments of the present invention is only for description, and does not represent the advantages and disadvantages of the embodiments. And the foregoing description has been directed to specific embodiments of this specification. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
The foregoing description of the preferred embodiments of the invention is not intended to limit the invention to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and scope of the invention are intended to be included within the scope of the invention.
Claims (9)
1. The configuration method of the equipment in the combined cooling heating and power system is characterized by comprising the following steps:
based on investment cost and operation cost of equipment in the combined cooling, heating and power system, establishing an objective function with the lowest comprehensive energy degree energy cost; the combined cooling heating and power system comprises a gas internal combustion engine, refrigerating equipment, a gas boiler and energy storage equipment; wherein the unit investment cost of the gas internal combustion engine is a1, the unit investment cost of the refrigeration equipment is b1, and the unit investment cost of the gas boiler is c1; investment cost of the gas internal combustion engine isInvestment cost of refrigeration equipment is->Investment cost of the gas boiler is ∈>The unit investment cost of the energy storage device is d1, and the investment cost of the energy storage device is +.>The operating costs of a gas internal combustion engine include gas costs ∈ ->Device operation and maintenance cost M chp *P chp The cost of the refrigeration equipment comprises equipment operation and maintenance cost M absc *C absc And heat consumption cost Heatusage absc * Heatpace, the operating costs of gas boilers include gas costs +.>And equipment operation and maintenance cost M ngc *H ngc The operation cost of the energy storage device comprises the device operation and maintenance cost M bat *C bat The method comprises the steps of carrying out a first treatment on the surface of the Wherein Gasprice refers to natural gas price, M chp Refers to the unit operation and maintenance cost, M of the gas internal combustion engine ngc Refers to the unit operation and maintenance cost, M of the gas boiler absc Refers to the unit operation and maintenance cost and heatage of the refrigeration equipment absc Refers to the heat power consumed by the refrigeration equipment, M bat The unit operation and maintenance cost of the energy storage equipment is referred; the objective function is:
establishing an equality constraint condition and an inequality constraint condition of the combined cooling, heating and power system, wherein the equality constraint condition and the inequality constraint condition comprise:
H(i)＝0,i＝1,2,3…,k；
g(j)≤0,j＝1,2,3…,m；
wherein, H (i) =0 is an equality constraint, the equality constraint comprises a power balance constraint, g (j) +.0 is an inequality constraint, and the inequality constraint comprises that the power of the energy storage device, the gas internal combustion engine, the refrigeration device and the gas boiler does not exceed the corresponding rated power; h represents all equality constraints, g represents all inequality constraints, and i and j are variables;
and solving the objective function to determine the type and the installation capacity of the equipment.
2. The method of claim 1, wherein solving the objective function comprises:
and solving the objective function through a particle swarm algorithm.
3. The method of claim 1, wherein the equality constraint comprises a power balance constraint.
4. A method according to claim 3, wherein the power balance constraint comprises generating power equal to load power, heating power equal to thermal load power, cooling power equal to cold load power.
5. The method of claim 4, wherein the gas internal combustion engine and the gas boiler satisfy the following equations:
wherein eta chp Power generation efficiency eta of gas internal combustion engine ngc For gas boiler efficiency beta chp Hot spot ratio of the gas internal combustion engine;
the power of the waste heat utilization of the gas internal combustion engine and the power of the generator meet the equality constraint of the thermoelectric ratio: h chp *β chp ＝P chp 。
6. The method of claim 1, wherein the inequality constraint comprises that no power of the energy storage device, the gas internal combustion engine, the refrigeration device, the gas boiler exceeds their respective rated powers.
7. The method of claim 2, wherein the population of particles in the particle swarm algorithm comprises a capacity and a type of device.
8. The method of claim 1, wherein the refrigeration device comprises a lithium bromide unit.
9. The method of claim 1, wherein the energy storage device comprises an energy storage battery.
Priority Applications (1)
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