CN116316888A - Optimized scheduling method, system and device for hydrogen electric coupling system - Google Patents
Optimized scheduling method, system and device for hydrogen electric coupling system Download PDFInfo
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Abstract
The invention discloses an optimized dispatching method, system and device of a hydrogen electric coupling system, comprising the following steps: s1, modeling a hydrogen electric coupling system according to production, conversion, transportation and storage of energy to obtain a modeling expression; s2, building a demand expression according to four terminal energy demands of electricity, heat, cold and hydrogen, wherein the demand expression comprises: an electrical load expression, a thermal load expression, a cold load expression, and a hydrogen load expression; s3, establishing constraint conditions according to the modeling expression and the demand expression; s4, calculating the minimum total cost of the hydrogen electric coupling system under constraint conditions by taking the minimum total cost of the hydrogen electric coupling system as an objective function. The invention can realize the optimal scheduling of the hydrogen electric coupling system.
Description
Technical Field
The invention relates to the field of optimal scheduling, in particular to an optimal scheduling method, system and device for a hydrogen electric coupling system.
Background
With the positive and steady promotion of the carbon-to-carbon neutralization process, urban energy accelerates the development of green low-carbon transformation. Meanwhile, high-proportion new energy access brings challenges to safe and stable operation of the power system, and particularly brings challenges to the digestion capability of the park-level energy power system. Hydrogen electric coupling is an important trend of future development, hydrogen energy can be used as an important energy carrier for diversified utilization of new energy, and the hydrogen electric coupling characteristic is utilized to play an important role in a park-level energy power system.
At present, many theoretical researches and practices of park-level comprehensive energy system optimization scheduling are developed in China, and the emphasis is placed on utilizing the coupling and complementary characteristics between cold, heat and electricity. Because the current hydrogen electric coupling system is built on a large-scale wind-solar energy base in practice, the research on the park-level hydrogen electric coupling system considering the park user demand and the park energy consumption characteristic is relatively less.
Disclosure of Invention
The invention aims to provide an optimal scheduling method of a hydrogen electric coupling system, which aims to solve the optimal scheduling of the hydrogen electric coupling system.
The invention provides an optimized dispatching method of a hydrogen electric coupling system, which comprises the following steps:
s1, modeling a hydrogen electric coupling system according to production, conversion, transportation and storage of energy to obtain a modeling expression;
s2, building a demand expression according to four terminal energy demands of electricity, heat, cold and hydrogen, wherein the demand expression comprises: an electrical load expression, a thermal load expression, a cold load expression, and a hydrogen load expression;
s3, establishing constraint conditions according to the modeling expression and the demand expression;
s4, calculating the minimum total cost of the hydrogen electric coupling system under constraint conditions by taking the minimum total cost of the hydrogen electric coupling system as an objective function.
The invention also provides an optimized dispatching system of the hydrogen electric coupling system, which comprises:
modeling module: the modeling expression is used for modeling the hydrogen electric coupling system according to the production, conversion, transportation and storage of energy sources;
the building module is used for building a demand expression according to the energy demands of four terminals, namely electricity, heat, cold and hydrogen, wherein the demand expression comprises: an electrical load expression, a thermal load expression, a cold load expression, and a hydrogen load expression;
constraint condition module: for establishing constraints based on the modeling expression and the demand expression;
the calculation module: for calculating the minimum total cost of the hydrogen electrical coupling system under constraint conditions with the minimum total cost of the hydrogen electrical coupling system as an objective function.
The embodiment of the invention also provides an optimized dispatching device of the hydrogen electric coupling system, which comprises the following components: a memory, a processor and a computer program stored on the memory and executable on the processor, which when executed by the processor, performs the steps of the method described above.
The embodiment of the invention also provides a computer readable storage medium, wherein the computer readable storage medium stores an information transmission implementation program, and the program realizes the steps of the method when being executed by a processor.
By adopting the embodiment of the invention, the optimal scheduling of the hydrogen electric coupling system can be realized.
The foregoing description is only an overview of the present invention, and is intended to provide a more clear understanding of the technical means of the present invention, as it is embodied in accordance with the present invention, and to make the above and other objects, features and advantages of the present invention more apparent, as it is embodied in the following detailed description of the invention.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the present invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method of optimizing scheduling of a hydrogen electrical coupling system in accordance with an embodiment of the present invention;
FIG. 2 is a schematic diagram of a method for optimizing and scheduling a hydrogen electrical coupling system according to an embodiment of the present invention;
FIG. 3 is a schematic view of a photovoltaic power generation output curve of an optimized dispatching method of a hydrogen electrical coupling system according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of the time-of-use electricity price of the optimized scheduling method of the hydrogen electrical coupling system according to the embodiment of the invention;
FIG. 5 is a schematic diagram of the result of optimizing the operation of the electric power of the optimized scheduling method of the hydrogen electric coupling system according to the embodiment of the present invention;
FIG. 6 is a schematic diagram of the result of optimizing the thermal power of the optimized scheduling method of the hydrogen electrical coupling system according to the embodiment of the present invention;
FIG. 7 is a schematic diagram of an optimized dispatch system for a hydrogen electrical coupling system in accordance with an embodiment of the present invention;
fig. 8 is a schematic diagram of an optimized scheduling apparatus for a hydrogen electrical coupling system according to an embodiment of the present invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments. 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.
Method embodiment
According to an embodiment of the present invention, there is provided an optimization scheduling method of a hydrogen electric coupling system, and fig. 1 is a flowchart of the optimization scheduling method of the hydrogen electric coupling system according to the embodiment of the present invention, as shown in fig. 1, including:
s1, modeling a hydrogen electric coupling system according to production, conversion, transportation and storage of energy to obtain a modeling expression;
s1 specifically comprises:
obtaining modeling expressions of output power of a photovoltaic generator set, output power of a gas motor set, output power of a wind turbine set, output power of a coal motor set, output power of a cogeneration set, output power of a gas boiler and output power of a coal boiler according to production modeling of energy sources:
obtaining heat pump output power, electric refrigerator output power, electric hydrogen production equipment output power, waste heat recovery equipment output power and hydrogen fuel cell equipment output power according to energy conversion modeling;
the method comprises the steps of obtaining the sending end power, the receiving end power and the network loss power of a cooling pipeline according to energy source transportation modeling, wherein the sending end power, the receiving end power and the network loss power of a heating pipeline, the sending end power, the receiving end power and the network loss power of a hydrogen conveying pipeline, the sending end power, the receiving end power and the network loss power of a highway, and the sending end power, the receiving end power and the network loss power of a power grid;
and obtaining electrochemical energy storage, hydrogen storage equipment energy storage, pumped storage energy storage, coal yard energy storage and valley electricity phase change heat storage device energy storage according to the storage modeling of energy sources.
S2, building a demand expression according to four terminal energy demands of electricity, heat, cold and hydrogen, wherein the demand expression comprises: an electrical load expression, a thermal load expression, a cold load expression, and a hydrogen load expression;
s3, establishing constraint conditions according to the modeling expression and the demand expression;
s3 specifically comprises: and establishing energy balance constraint, upper and lower limit constraint of output power of equipment, utilization constraint of equipment and energy storage balance constraint according to the modeling expression and the demand expression.
S4, calculating the minimum total cost of the hydrogen electric coupling system under constraint conditions by taking the minimum total cost of the hydrogen electric coupling system as an objective function.
S4 specifically comprises the following steps: calculating the minimum total cost of the hydrogen electric coupling system under constraint conditions by taking the minimum total cost of the hydrogen electric coupling system as an objective function, wherein the objective function comprises: fuel cost, operation and maintenance cost, start and stop cost, emission cost, energy discarding cost, energy shortage cost and heat storage punishment cost.
The specific implementation method is as follows:
the invention provides an optimization scheduling model of a park-level hydrogen electric coupling system, which consists of an energy supply technical module, a terminal energy demand module and a system operation optimization module. The energy supply technology module models the supply technology of the park hydrogen electric coupling system in the aspects of energy production, conversion, transportation, storage and the like; the terminal energy demand module is used for describing the electric, thermal, cold and hydrogen terminal energy demands of park users; and the system operation optimization module obtains an optimal solution which enables the total cost of the system operation to be the lowest under the constraint of constraint conditions.
FIG. 2 is a schematic diagram of a method for optimizing and scheduling a hydrogen electrical coupling system according to an embodiment of the present invention;
as shown in fig. 2, the optimization scheduling model of the campus-level hydrogen electric coupling system consists of an energy supply technology module, a terminal energy demand module and a system operation optimization module.
(1) The energy supply technology module comprises an energy production technology, a conversion technology, a conveying technology and a storage technology.
A. The energy production technology refers to the technology of producing four terminal energy sources of electricity, heat, cold and hydrogen by taking other energy forms as input, and comprises but is not limited to photovoltaic power generation, gas electricity, wind power, coal electricity, nuclear power, cogeneration, gas-fired boiler, coal-fired boiler and combined heat and power. The modeling of various production technologies is as follows:
a. the output power of the photovoltaic generator set is as follows:
P pv ＝P pv,typ -P pv,cur (1)
wherein P is pv 、P pv,typ 、P pv,cur The output and the waste electric power of the actual output and the typical output curve of the photovoltaic generator set are respectively.
b. The output power of the air motor group is as follows:
P MT ＝P MT,gas ×η MT (2)
wherein: p (P) MT 、P MT,gas 、η MT The output power, the consumed natural gas power and the power generation efficiency of the gas motor unit are respectively.
c. The output power of the wind turbine generator is as follows:
P wind ＝P wind,typ -P wind,cur (3)
wherein P is wind 、P wind,typ 、P wind,cur The actual output power, the output power of the typical output power curve and the electric power of the wind generating set are respectively obtained.
d. The output power of the coal motor group is as follows:
P CT ＝P CT,coal ×η CT (4)
wherein: p (P) CT 、P CT,coal 、η CT The output power, the consumed coal power and the power generation efficiency of the coal motor unit are respectively.
e. The output power of the nuclear power unit is as follows:
P NT ＝P NT,gas ×η NT (5)
wherein: p (P) NT 、P NT,gas 、η NT The output power, the consumed nuclear power and the power generation efficiency of the nuclear power unit are respectively.
f. The output power of the cogeneration unit is as follows:
wherein P is bp,h 、P bp,gas 、η bp 、P bp,e 、k bp The power output of the machine set, the power of the consumed natural gas, the heating efficiency, the power output of the electric power and the electric heating ratio are respectively.
g. The output power of the gas boiler is as follows:
P GB ＝η GB ×P GB,gas (7)
wherein: p (P) GB 、ηGB、P GB,gas The heat pump is used for outputting heat power, heating efficiency and natural gas power consumption of the gas boiler.
h. The output power of the coal-fired boiler is as follows:
P CB ＝η CB ×P CB,coal (8)
wherein: p (P) CB 、η CB 、P CB,coal The heat pump is used for outputting heat power, heating efficiency and natural gas power consumption of the coal-fired boiler.
B. The energy conversion technology refers to technologies for instantly producing four terminal energy sources of electricity, heat, cold and hydrogen or other energy forms by taking the four terminal energy sources of electricity, heat, cold and hydrogen as input, and comprises, but is not limited to, a heat pump, an electric refrigerator, an electric hydrogen production device, a waste heat recovery device and a hydrogen fuel cell. The various conversion techniques were modeled as follows:
a. the heat pump output power is as follows:
P HP ＝P HP,in ×η HP (9)
wherein: p (P) HT 、P HT,in 、η HP The heat pump outputs heat power, driving power and heating coefficient.
b. The output power of the electric refrigerator is as follows:
P EC ＝P EC,in ×η EC (10)
wherein: p (P) EC 、P EC,in 、η EC The refrigerating output power, the consumed electric power and the energy efficiency ratio of the electric refrigerator are respectively.
c. The output power of the electro-hydrogen production equipment is as follows:
P PG,out ＝P PG,in ×η PG (11)
wherein: p (P) PG,out 、P PG,in 、η PG The hydrogen power, the driving electric power and the conversion coefficient are respectively output by the electric hydrogen production.
d. The output power of the waste heat recovery device is as follows:
P re,heat ＝P was,heat ×η re,heat (12)
wherein: p (P) re,heat 、P was,heat 、η re，heat The heat output power, the heat input power and the recovery efficiency of the waste heat recovery equipment are respectively.
e. The output power of the hydrogen fuel cell device is as follows:
P GE,out ＝P GE,in ×η GE (13)
wherein: p (P) GE,out 、P GE,in 、η GE The hydrogen fuel cell device outputs electric power, consumed hydrogen power and conversion coefficient, respectively.
C. The energy source conveying technology refers to a technology for changing the area where various types of energy sources are located, and the technology comprises, but is not limited to, a cold supply pipeline, a heating pipeline, a hydrogen conveying pipeline, a highway and a power grid. The modeling of various production technologies is as follows:
a. the expression formula of the cooling pipeline is as follows:
P out,c ＝P in,c ×(1-η c ) (14)
wherein: p (P) out,c 、P in,c 、η c The power of the receiving end, the power of the transmitting end and the loss rate of the cooling pipeline are respectively, and the net loss power of the cooling pipeline is P in,c Multiplying by eta c ；
b. The thermodynamic pipe expression formula is as follows:
P out,h ＝P in,h ×(1-η h ) (15)
wherein: p (P) out,h 、P in,h 、η h The power of the receiving end, the power of the transmitting end and the loss rate of the heating power pipeline are respectively, and the net loss power of the heating power pipeline is P in,h Multiplying by eta h ；
c. The expression formula of the hydrogen conveying pipeline is as follows:
P out,g ＝P in,g ×(1-η g ) (16)
wherein: p (P) out,g 、P in,g 、η g The power of the receiving end, the power of the transmitting end and the loss rate of the hydrogen transmission pipeline are respectively, and the net loss power of the hydrogen transmission pipeline is P in,g Multiplying by eta g ；
d. The highway expression formula is as follows:
P out,w ＝P in,w ×(1-η w ) (17)
wherein: p (P) out,w 、P in,w 、η w The power of the receiving end, the power of the transmitting end and the loss rate of the highway are respectively, and the network loss power of the highway is P in,w Multiplying by eta w ；
e. The grid expression formula is as follows:
P out,e ＝P in,e ×(1-η e ) (18)
wherein: p (P) out,e 、P in,e 、η e Respectively the receiving end power and the transmitting end power of the power gridRate, loss rate, power loss of power grid P in,e Multiplying by eta e ；
D. Energy storage technology refers to technology that delays the supply time of various forms of energy, including but not limited to electrochemical energy storage, hydrogen storage equipment, pumped storage, and coal storage sites. In particular, the valley phase heat storage device is capable of converting electrical energy into thermal energy for subsequent storage. The modeling of various production technologies is as follows:
a. the electrochemical energy storage expression formula is as follows:
wherein: s is S e,t 、S e,t-1 Residual capacities of electrochemical energy storage at time t and time t-1 respectively, P e,cha , t And P e,dis,t Respectively the charging power and the discharging power at the time t of electrochemical energy storage, eta e,cha And eta e,dis The electrochemical energy storage charging efficiency and the electrochemical energy discharging efficiency are respectively.
b. The expression formula of the hydrogen storage device is as follows:
wherein: s is S g,t 、S g,t-1 The residual capacities of the hydrogen storage device at the time t and the time t-1 are respectively, P g,cha,t And P g,dis,t The charging power and the discharging power at the moment t of the hydrogen storage device are respectively, eta g,cha And eta g,dis The energy charging efficiency and the energy discharging efficiency of the hydrogen storage equipment are respectively.
c. The expression formula of pumped storage is as follows:
wherein: s is S p,t 、S p,t-1 The residual capacities of the energy storage device at the time t and the time t-1 are respectively, P p,cha,t And P p,dis,t The charging power and the discharging power at the moment t are respectively, eta p,cha And eta p,dis The charging efficiency and the discharging efficiency are respectively.
d. The expression formula of the coal storage field is as follows:
wherein: s is S c,t 、S c,t-1 The residual capacities of the energy storage device at the time t and the time t-1 are respectively, P c,cha,t And P c,dis,t The charging power and the discharging power at the moment t are respectively, eta c,cha And eta c,dis The charging efficiency and the discharging efficiency are respectively.
e. Gu Dianxiang the expression formula of the variable heat storage device is as follows:
S h,t ＝S h,t-1 +(P echa,t ×η eh -P hdis,t /η hdis )Δt (23)
wherein: s is S h,t 、S h,t-1 The residual capacity of the device at time t and t-1, P echa,t And P hdis,t Charging power and heat release power at time t, eta eh And eta hdis The electric energy conversion efficiency and the heat release efficiency are respectively.
(2) The energy terminal demand module comprises electric, heat, cold and hydrogen demands of a first industry, a second industry, a third industry and life.
A. The electrical load expression formula is as follows:
wherein: p (P) e,load Is the actual value of the electrical load; p (P) e,j,typ 、P e,j,gap The electricity load demand value and the electricity shortage value of the jth user are respectively represented by J, wherein J represents the total number of users, including the life demands of users in various industries under three industries and towns and villages.
B. The thermal load expression formula is as follows:
wherein: p (P) h,load For the actual value of the thermal load, P h,j,typ 、P h,j,gap 、P h,j,wave The thermal load demand value, the power shortage value and the comfort margin value of the jth user are respectively.
C. The expression formula of the cold load is as follows:
wherein: p (P) c,load For the actual value of the thermal load, P c,j,typ 、P c,j,gap 、P c,j,wave The thermal load demand value, the power shortage value and the comfort margin value of the jth user are respectively.
D. The hydrogen loading expression formula is as follows:
wherein: p (P) g,load For the actual value of the thermal load, P g,j,typ 、P g,j,gap 、P g,j,wave The thermal load demand value, the power shortage value and the comfort margin value of the jth user are respectively.
(3) The system operation optimization module comprises constraint conditions and an objective function.
A. Constraints include, but are not limited to, energy balance constraints;
a. energy balance constraint
Wherein: p (P) g,n,t 、P o,n,t 、P in,n,t 、P loss,n,t 、P load,n,t 、P n,t Respectively, the nth (n=1, 2,3,4 represents cold, heat, electricity, hydrogen) energy requirement at time tThe output power, the transmitting end power, the receiving end power, the network loss power, the actual load power and the energy consumption power of the energy consumption equipment of various energy supply units are approximately equal to 0.
b. Upper and lower limit constraint of equipment output power
P g,n,min <P g,n,t <P g,n,max (29)
Wherein: p (P) g,n,min 、P g,n,max Respectively the minimum and maximum values of the nth power output of the g-th class of equipment.
c. Device utilization constraints
T fa ＞T fa,min (30)
Wherein: t (T) fa The number of hours utilized for the device; t (T) fa,min Is the minimum number of hours of utilization.
d. Climbing constraint
-ΔP g,n,l,max <P g,n,t -P g,n,t-1 <ΔP g,n,u,max (31)
Wherein: ΔP g,n,l,max 、ΔP g,n,u,max The power output of the nth class of equipment is respectively the upper limit of the downhill climbing and the upper limit of the downhill climbing.
e. Energy storage balance constraint
The remaining capacity of the energy storage device at the last moment is equal to the remaining capacity at the initial moment, namely:
S 0 ＝ S end (32)
wherein: s is S 0 、S end The remaining capacity at the initial moment and the remaining capacity at the final moment of the energy storage device are respectively.
B. The model takes the minimum total cost of the system as an objective function, and comprises fuel cost, operation and maintenance cost, start-stop cost, emission cost, energy discarding cost, energy shortage cost and heat storage reward and punishment cost. The objective function expression is as follows:
wherein C is F 、C V 、C S 、C E 、C D 、C L 、C R The system fuel cost, the operation and maintenance cost, the start and stop cost, the emission cost, the energy discarding cost, the energy shortage cost and the punishment cost are respectively; G. n is the number of energy supply unit types and the number of load types respectively; p (P) coal,g 、P gas,g 、P g 、P R 、M g 、D g The power consumption of coal, the power consumption of hydrogen, the output power, the electric heating energy storage power, the start-stop times and the energy discarding power of the group g machine set are respectively; c coal 、c gas 、c L,n 、c R The unit cost of coal, the unit cost of hydrogen, the unit energy-lack cost of the nth energy load and the unit punishment cost are respectively; c V,g 、c S,g 、c E,g 、c D,g The variable operation and maintenance cost, the single start-stop cost, the unit discharge cost and the unit energy discarding cost of the group g unit are respectively adopted.
The key points of the part of cost are as follows:
(1) Energy-deficient cost
The energy-shortage cost refers to punishment cost of the system due to insufficient supply of cold, heat, electricity and hydrogen, and the energy-shortage cost is mainly set for ensuring energy-supply reliability of the system. The method has the advantages that different energy shortage costs are set for different loads such as cold, heat, electricity, hydrogen and the like of different users, on one hand, the energy utilization characteristic difference among different energy varieties is fully considered, particularly the characteristic that hydrogen energy is easy to store for a large scale and a long time is favorable for eliminating peak load under the condition that the influence on the energy utilization experience of the users is small, so that the equipment construction capacity is reduced, and the equipment utilization rate and investment income are improved; on the other hand, under the extreme conditions of insufficient energy supply, the energy supply and the load removal are reasonably coordinated, and the influence of energy supply is reduced.
The reliability requirement of power supply is relatively higher than that of heat supply (cold), and the reliability requirement of heat supply (cold) is relatively higher than that of hydrogen supply, so that the electricity-shortage cost of electric energy is generally higher, and the energy-shortage cost of hydrogen energy is lowest. From the internal point of view of power supply, the power supply reliability of hospitals and the like requires higher users, and the unit power shortage cost is set higher. In the heat (cold) supply comfort margin, the influence of energy supply interruption on users is small, such as the influence on the working efficiency of staff when the indoor temperature fluctuates in a small range around the optimum temperature is small, so that the unit energy shortage cost is set to be 0; industrial heat loads are relatively more reliable to the residents and therefore relatively more costly to energy shortage per unit. Since hydrogen energy can be stored on a large scale for a long time from the inside of the hydrogen supply system, the unit energy shortage cost is set to 0.
(2) Heat storage reward and punishment cost
The heat storage rewarding and punishing cost utilizes the advantages of lower heat storage cost, small storage loss and larger storage scale, and meanwhile, the electricity consumption peak-valley electricity price is combined, the differentiated heat storage rewarding and punishing cost is set at each moment, the heat storage is rewarding, the heat supply is punishment, and further, the heat storage device is guided to store heat in the electricity consumption valley period and supply heat in the electricity consumption peak period by utilizing the differentiated rewarding and punishing cost in different periods.
FIG. 3 is a schematic view of a photovoltaic power generation output curve of an optimized dispatching method of a hydrogen electrical coupling system according to an embodiment of the present invention;
a small-sized park is selected as an example for analysis, and a typical daily resident life energy load, a commercial energy load and a distributed photovoltaic power generation output curve are shown in fig. 3. Other energy supply units and key parameters are shown in table 1.
TABLE 1 energy supply unit and key parameters
Assuming sufficient regional natural gas supply, the natural gas price is 3.5 yuan/m 3, combusting 1 cubic meter of natural gas produces a heating value of 10.6kWh, which is converted into a unit heating value price of 0.330 yuan/(kWh). Based on the priority of taking into account distributed photovoltaic considerations in the park, the waste light cost is set to be 1 yuan/(kWh). Fig. 4 is a schematic diagram of time-of-use electricity price of the optimal scheduling method of the hydrogen electric coupling system according to the embodiment of the invention, and the time-of-use electricity price is used as a heat storage punishment cost. The heating comfort margin is set smaller, and the heating comfort margin is allowed to appear only when the full occurrence of the gas boiler and the waste heat recovery unit is insufficient to meet the heat load demand, and the maximum value is 2% of the heat load.
Fig. 5 is a schematic diagram of an optimized operation result of electric power of an optimized scheduling method of a hydrogen electric coupling system according to an embodiment of the present invention, and it can be seen from the figure that during a peak period of electricity consumption, park electric power supply is mainly gas turbine power generation and distributed photovoltaic power generation, and economy is from high to low photovoltaic power generation, gas turbine power generation, and external electricity; in the night electricity consumption valley period, the electricity supply is mainly the electricity supply. Gu Dianxiang becomes heat accumulation equipment and carries out continuous heat accumulation at 24 points to 4 points, and in addition, 8 photovoltaic power generation power output is higher than the power load, receives the higher influence of abandoning the electric cost, has carried out the heat accumulation of power less.
Fig. 6 is a schematic diagram of the result of optimizing the thermal power of the dispatching method for the hydrogen electric coupling system according to the embodiment of the invention, and it can be seen from the figure that the heat supply is mainly a gas boiler, but the economical efficiency of waste heat recovery is better than that of the gas boiler. The phase change heat storage device supplies heat at 12 and 13 under the guidance of cost punishment. 16, 17 and 18, there is a small heat supply gap, and thus a small power heating comfort margin.
The capacity of the Gu Dianxiang variable heat storage device to serve as a load increase is mainly in the period of night electricity consumption low valley and the period of distributed photovoltaic electricity discarding, and the total capacity is 618kWh; the capacity of heat recovery released by the thermal decoupling effect of heat supply is about 420kWh, in the calculation example, the heat supply economy of the waste heat recovery equipment is better, the heat supply of the valley-electric phase change heat storage equipment is replaced by a gas boiler, if the capacity of the waste heat recovery equipment is replaced due to the consideration of the heat recovery, the power generation capacity of a gas turbine is further released, and the capacity of renewable energy source digestion is increased.
The method has the advantages that:
(1) By utilizing the reliability demand difference of different types of users on different energy types such as electricity, heat, cold, hydrogen and the like, the coordination scheduling of electricity, heat, cold, hydrogen and the like is realized, the load shedding sequential processing can be carried out according to the reliability demand under the extreme conditions such as energy supply shortage and the like, and the key demand energy supply reliability such as power supply of important users such as hospitals and the like is ensured;
(2) The energy can be stored in electricity consumption valley time, and the energy storage and energy supply can be utilized in heat supply peak time, so that the new energy and renewable energy consumption capability of the system can be improved;
(3) By utilizing the characteristic of easy large-scale and long-time storage of hydrogen energy, the hydrogen energy is decoupled through hydrogen electric coupling, and the hydrogen energy is used as a new energy source for diversified utilization of an energy carrier, so that the peak regulation capacity of the system is enhanced at low cost;
(4) When the load peak period is very small, peak elimination can be performed by cutting off part of loads with low reliability requirements such as thermal power, hydrogen energy and the like, so that the unit construction and standby capacity are reduced, the system construction cost is saved, and the energy supply yield is increased.
System embodiment one
According to an embodiment of the present invention, an optimized dispatching system of a hydrogen electric coupling system is provided, and fig. 7 is a schematic diagram of the optimized dispatching system of the hydrogen electric coupling system according to the embodiment of the present invention, as shown in fig. 7, specifically including:
modeling module: the modeling expression is used for modeling the hydrogen electric coupling system according to the production, conversion, transportation and storage of energy sources;
the modeling module is specifically used for:
obtaining modeling expressions of output power of a photovoltaic generator set, output power of a gas motor set, output power of a wind turbine set, output power of a coal motor set, output power of a cogeneration set, output power of a gas boiler and output power of a coal boiler according to production modeling of energy sources:
obtaining heat pump output power, electric refrigerator output power, electric hydrogen production equipment output power, waste heat recovery equipment output power and hydrogen fuel cell equipment output power according to energy conversion modeling;
the method comprises the steps of obtaining the sending end power, the receiving end power and the network loss power of a cooling pipeline according to energy source transportation modeling, wherein the sending end power, the receiving end power and the network loss power of a heating pipeline, the sending end power, the receiving end power and the network loss power of a hydrogen conveying pipeline, the sending end power, the receiving end power and the network loss power of a highway, and the sending end power, the receiving end power and the network loss power of a power grid;
and obtaining electrochemical energy storage, hydrogen storage equipment energy storage, pumped storage energy storage, coal yard energy storage and valley electricity phase change heat storage device energy storage according to the storage modeling of energy sources.
The building module is used for building a demand expression according to the energy demands of four terminals, namely electricity, heat, cold and hydrogen, wherein the demand expression comprises: an electrical load expression, a thermal load expression, a cold load expression, and a hydrogen load expression;
constraint condition module: for establishing constraints based on the modeling expression and the demand expression;
the constraint condition module is specifically used for: and establishing energy balance constraint, upper and lower limit constraint of output power of equipment, utilization constraint of equipment and energy storage balance constraint according to the modeling expression and the demand expression.
The calculation module: for calculating the minimum total cost of the hydrogen electrical coupling system under constraint conditions with the minimum total cost of the hydrogen electrical coupling system as an objective function.
The computing module is specifically used for: calculating the minimum total cost of the hydrogen electric coupling system under constraint conditions by taking the minimum total cost of the hydrogen electric coupling system as an objective function, wherein the objective function comprises: fuel cost, operation and maintenance cost, start and stop cost, emission cost, energy discarding cost, energy shortage cost and heat storage punishment cost.
The embodiment of the present invention is a system embodiment corresponding to the above method embodiment, and specific operations of each module may be understood by referring to the description of the method embodiment, which is not repeated herein.
The embodiment of the invention provides an optimized dispatching device of a hydrogen electric coupling system, as shown in fig. 8, comprising: the steps of the method embodiments described above are implemented by the processor 80, the processor 82, and a computer program stored on the memory 80 and executable on the processor 82.
Device example two
The embodiment of the present invention provides a computer readable storage medium, on which a program for implementing information transmission is stored, which when executed by the processor 52 implements the steps of the method embodiment described above.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; and these modifications or substitutions may be made to the technical solutions of the embodiments of the present invention without departing from the spirit of the corresponding technical solutions.
Claims (10)
1. An optimized dispatching method of a hydrogen electric coupling system is characterized by comprising the following steps:
s1, modeling a hydrogen electric coupling system according to production, conversion, transportation and storage of energy to obtain a modeling expression;
s2, building a demand expression according to four terminal energy demands of electricity, heat, cold and hydrogen, wherein the demand expression comprises: an electrical load expression, a thermal load expression, a cold load expression, and a hydrogen load expression;
s3, establishing constraint conditions according to the modeling expression and the demand expression;
s4, calculating the minimum total cost of the hydrogen electric coupling system under constraint conditions by taking the minimum total cost of the hydrogen electric coupling system as an objective function.
2. The method according to claim 1, wherein S1 specifically comprises:
obtaining modeling expressions of output power of a photovoltaic generator set, output power of a gas motor set, output power of a wind turbine set, output power of a coal motor set, output power of a cogeneration set, output power of a gas boiler and output power of a coal boiler according to production modeling of energy sources:
obtaining heat pump output power, electric refrigerator output power, electric hydrogen production equipment output power, waste heat recovery equipment output power and hydrogen fuel cell equipment output power according to energy conversion modeling;
the method comprises the steps of obtaining the sending end power, the receiving end power and the network loss power of a cooling pipeline according to energy source transportation modeling, wherein the sending end power, the receiving end power and the network loss power of a heating pipeline, the sending end power, the receiving end power and the network loss power of a hydrogen conveying pipeline, the sending end power, the receiving end power and the network loss power of a highway, and the sending end power, the receiving end power and the network loss power of a power grid;
and obtaining electrochemical energy storage, hydrogen storage equipment energy storage, pumped storage energy storage, coal yard energy storage and valley electricity phase change heat storage device energy storage according to the storage modeling of energy sources.
3. The method according to claim 2, wherein S3 specifically comprises: and establishing energy balance constraint, upper and lower limit constraint of output power of equipment, utilization constraint of equipment and energy storage balance constraint according to the modeling expression and the demand expression.
4. A method according to claim 3, wherein S4 comprises: calculating the minimum total cost of the hydrogen electric coupling system under constraint conditions by taking the minimum total cost of the hydrogen electric coupling system as an objective function, wherein the objective function comprises: fuel cost, operation and maintenance cost, start and stop cost, emission cost, energy discarding cost, energy shortage cost and heat storage punishment cost.
5. An optimized dispatch system for a hydrogen-to-electricity coupling system, comprising:
modeling module: the modeling expression is used for modeling the hydrogen electric coupling system according to the production, conversion, transportation and storage of energy sources;
the building module is used for building a demand expression according to the energy demands of four terminals, namely electricity, heat, cold and hydrogen, wherein the demand expression comprises: an electrical load expression, a thermal load expression, a cold load expression, and a hydrogen load expression;
constraint condition module: for establishing constraints based on the modeling expression and the demand expression;
the calculation module: for calculating the minimum total cost of the hydrogen electrical coupling system under constraint conditions with the minimum total cost of the hydrogen electrical coupling system as an objective function.
6. The system of claim 5, wherein the modeling module is specifically configured to:
obtaining modeling expressions of output power of a photovoltaic generator set, output power of a gas motor set, output power of a wind turbine set, output power of a coal motor set, output power of a cogeneration set, output power of a gas boiler and output power of a coal boiler according to production modeling of energy sources:
obtaining heat pump output power, electric refrigerator output power, electric hydrogen production equipment output power, waste heat recovery equipment output power and hydrogen fuel cell equipment output power according to energy conversion modeling;
the method comprises the steps of obtaining the sending end power, the receiving end power and the network loss power of a cooling pipeline according to energy source transportation modeling, wherein the sending end power, the receiving end power and the network loss power of a heating pipeline, the sending end power, the receiving end power and the network loss power of a hydrogen conveying pipeline, the sending end power, the receiving end power and the network loss power of a highway, and the sending end power, the receiving end power and the network loss power of a power grid;
and obtaining electrochemical energy storage, hydrogen storage equipment energy storage, pumped storage energy storage, coal yard energy storage and valley electricity phase change heat storage device energy storage according to the storage modeling of energy sources.
7. The system of claim 6, wherein the constraint module is specifically configured to: and establishing energy balance constraint, upper and lower limit constraint of output power of equipment, utilization constraint of equipment and energy storage balance constraint according to the modeling expression and the demand expression.
8. The system according to claim 7, wherein the computing module is specifically configured to: calculating the minimum total cost of the hydrogen electric coupling system under constraint conditions by taking the minimum total cost of the hydrogen electric coupling system as an objective function, wherein the objective function comprises: fuel cost, operation and maintenance cost, start and stop cost, emission cost, energy discarding cost, energy shortage cost and heat storage punishment cost.
9. An optimized dispatching device for a hydrogen electric coupling system, which is characterized by comprising: memory, a processor and a computer program stored on the memory and executable on the processor, which when executed by the processor, performs the steps of the method for optimizing the scheduling of a hydrogen electrical coupling system according to any one of claims 1 to 4.
10. A computer-readable storage medium, wherein a program for realizing information transfer is stored on the computer-readable storage medium, and the program when executed by a processor realizes the steps of the optimized scheduling method of the hydrogen electric coupling system according to any one of claims 1 to 4.
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| CN117060491B (en) * | 2023-10-11 | 2024-01-30 | 中国电建集团西北勘测设计研究院有限公司 | Operation optimization method, system, medium and equipment of wind-solar hybrid energy storage system |
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