CN115660142A - Source-load-storage coordination optimization scheduling method for park comprehensive energy system - Google Patents
Source-load-storage coordination optimization scheduling method for park comprehensive energy system Download PDFInfo
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Abstract
The invention relates to a source-load-storage coordinated optimization scheduling method for a park comprehensive energy system, which constructs a power-heat-gas park comprehensive energy system comprising a power-to-gas converter, a wind turbine generator, a photovoltaic generator, a cogeneration generator and energy storage equipment; considering the electricity-to-gas participation in a natural gas trading market and an electric power trading market of the park comprehensive energy system, establishing a source-load-storage coordination optimization model of the park comprehensive energy system; the optimized scheduling model comprises constraint conditions and an objective function, and under the constraint of the constraint conditions, the system operation optimized scheduling model takes the lowest total cost of the system as the objective function to solve the optimal solution of the optimization result; when the comprehensive energy system of the park is optimized, the complementary advantages of all units in the system can be realized by considering the electricity-to-gas unit, the energy utilization efficiency is improved, the power supply optimization in the network is coordinated, the cogeneration unit can operate more flexibly, and the energy consumption cost of the comprehensive energy system is saved.
Description
Technical Field
The invention relates to a source-load-storage coordination optimization scheduling method for a park comprehensive energy system, and belongs to the technical field of power industry.
Background
At present, the proportion of new energy installation is continuously improved, and the problems of wind abandonment and light abandonment are solvedIs very severe. In order to avoid resource waste, the electricity-to-gas (P2G) system can utilize surplus electric quantity of new energy to electrolyze water H through the water electrolysis module 2 Decomposition of O into oxygen O 2 And hydrogen H 2 . When H is present 2 In the absence of large-scale direct storage or other ways of consumption, the methanation module is further utilized to react with CO 2 Reaction for synthesizing CH 4 Injecting the mixture into a natural gas pipeline so as to promote the consumption of new energy.
With the increasing of the specific gravity of new energy installed, the peak load regulation pressure of the system is increased, and the construction of a P2G plant station and a wind power plant, a photovoltaic power station or a comprehensive energy system is the key point of future research, so that the coupling value of energy flows of a power-to-gas unit is converged, and the cooperative control and scheduling optimization of a park comprehensive energy system containing power-to-gas is considered in research, so that the maximum consumption of new energy is realized.
For example, chinese patent CN111639824B is a thermoelectric optimization scheduling method for a regional integrated energy system with electric-to-gas conversion, which includes: analyzing an electricity-to-gas two-stage operation mechanism, introducing hydrogen storage in a water electrolysis hydrogen production link, promoting high-grade use of hydrogen energy through hydrogen fuel cell cogeneration, and reducing energy gradient utilization loss caused by direct methanation; the hydrogen fuel cell and the cogeneration unit are optimized to run with variable efficiency, and the thermoelectric load situation is flexibly tracked by adjusting the thermoelectric efficiency, so that the thermoelectric output is more economic and reasonable; the organic Rankine cycle waste heat power generation is introduced to convert the cogeneration surplus heat output into electric energy, and the thermoelectric coupling performance of the system is improved in a waste heat absorption promoting mode; and constructing a thermoelectric coupling RIES optimization scheduling model containing electric power to gas with the aim of minimizing the sum of system energy purchasing cost, operation and maintenance cost and energy loss cost. The method can improve the energy utilization efficiency and the cogeneration performance of the regional comprehensive energy system, and has the advantages of being scientific and reasonable, strong in applicability, good in effect and the like.
The method focuses on effectively reducing the energy loss cost of the regional comprehensive energy system by improving the utilization rate of comprehensive energy; an energy coordination scheduling method focusing on economic benefits is needed.
Disclosure of Invention
The invention aims to provide a source-load-storage coordination optimization scheduling method for a park comprehensive energy system, so as to solve the problems in the background technology.
The technical scheme of the invention is as follows:
a source-load-storage coordination optimization scheduling method for a park comprehensive energy system comprises the following steps:
a park comprehensive energy system containing electricity-heat-gas such as an electricity-to-gas generator set, a photovoltaic set, a cogeneration set and energy storage equipment is constructed;
considering the electricity-to-gas participation in a natural gas trading market and an electric power trading market of the park comprehensive energy system, and establishing an optimized scheduling model;
the optimized scheduling model comprises constraint conditions and an objective function, and under the constraint of the constraint conditions, the system operation optimized scheduling model takes the lowest total cost of the system as the objective function to solve the optimal solution of the optimization result;
the objective function is:
Min F＝F MT +F wp +F t P2G +F ME +F BL +F XE (16)
F MT the cost of consuming primary energy of natural gas for the cogeneration unit in the scheduling period; f wp Abandoning the new energy output cost in the dispatching period; f t P2G Representing the cost of converting the dispatching cycle into electricity to gas; f BL Representing the primary energy cost of natural gas consumed by the gas boiler in the dispatching period; f ME Representing the operation and maintenance cost of all the devices in the microgrid in the scheduling period; f EX Representing the electricity purchase cost interacted with a large power grid in a dispatching period;
wherein, C mi Represents the unit maintenance cost of the unit i; p t i Represents the output of time t unit i; c buy ,C sell Respectively showing the electricity purchasing price and the electricity selling price; p t ex And the interactive power of the microgrid and the large power grid in the period t is represented, a positive value represents electricity purchasing, and a negative value represents electricity selling to the large power grid.
Preferably, the park comprehensive energy system comprises a wind turbine generator, a photovoltaic generator, a cogeneration generator, energy storage equipment, a boiler and electricity-to-gas.
Preferably, the energy storage device comprises a heat storage tank and a storage battery for storing energy; the boiler includes an electric boiler and a gas boiler.
Preferably, the output power of the wind power generation assembly is as follows:
in the formula, P t wind Is the output power of the fan, KW; v. of ci ，v c0 ，v r Respectively the cut-in wind speed, the cut-out wind speed and the rated wind speed m/s; p r Rated output power, KW; a and b are wind speed correlation coefficients;
the model of the photovoltaic power generation assembly is represented as:
P t pv ＝ξCOSθη m A p η p (4)
where ξ represents the actual illumination radiation intensity; θ represents an angle of incidence of the illumination to the solar panel; eta m Representing the efficiency of the MPPT controller; a. The P Is the area of the solar panel; eta p Representing the efficiency of the solar panel;
the cogeneration unit comprises a micro cogeneration unit and a waste heat boiler; the thermoelectric relationship mathematical model is as follows:
in the formula (I), the compound is shown in the specification,
P t MT 、
respectively representing exhaust waste heat quantity, electric power and power generation efficiency of the micro combustion engine in a time period t; eta L The heat dissipation loss rate;
representing the heating capacity of the bromine refrigerator in a time period t; c oph 、η h Respectively representing the heating coefficient and the flue gas recovery rate of the bromine refrigerator;
the fuel cost of the micro-combustion engine in the time period t is as follows:
where Δ t is the unit scheduling time, F MT Scheduling the fuel cost in the total period T; c CH4 Indicating the price of natural gas; l is MT Indicating a low heating value of natural gas.
The heat storage tank model is represented as:
wherein the content of the first and second substances,
heat storage capacity expressed as heat storage over time period t; mu is expressed as the heat dissipation loss rate of heat storage;
the heat absorption and release power of the heat storage tank in a time period t is represented; eta hch 、η hdis Expressed as the heat absorption and release efficiency over time period t;
the relation model of the storage battery energy storage capacity and the charge-discharge power is as follows:
wherein the content of the first and second substances,
a storage capacity expressed as electrical energy storage for a time period t; mu is expressed as the loss rate of the electrical energy storage; p is t EES,in 、P t EES ,dis The charging and discharging power of the storage battery in a time period t is expressed; eta hch 、η hdis Expressed as the charging efficiency in time period t;
the electric boiler model is as follows:
in the formula
P t EB 、η EB Electric energy consumption and heating power of the electric boiler are respectively in a time period t; eta EB The efficiency of the electric-to-heat conversion is shown,
respectively expressed as the minimum heating power and the maximum heating power of the electric boiler;
the gas boiler model is as follows:
in the formula (I), the compound is shown in the specification,
the thermal power output by the cogeneration unit at the moment t is represented; eta BL Representing the combustion efficiency of the gas boiler;
representing the amount of natural gas consumed at the moment t; f BL Representing the cost of natural gas energy consumed in the scheduling period; c CH4 Representing the natural gas price;
the electric gas conversion equipment model in the period t is as follows:
in the formula:
alpha represents the electricity price and CO respectively in the period t 2 Price and CO required to produce a unit of natural gas 2 A coefficient; p t P2G 、
Respectively representing the consumed electric power and the generated natural gas power of the electric gas conversion device in the period t, and the relationship between the consumed electric power and the generated natural gas power is as follows:
in the formula: eta eg The efficiency of the electric gas conversion equipment.
Preferably, the constraint conditions include electric power balance constraint, upper and lower output limit constraint, energy storage constraint, climbing constraint, electric-to-gas constraint and thermoelectric ratio constraint.
Preferably, the electric power balance constraint is:
and (3) restraining the upper and lower output limits:
in the formula:
the minimum value and the maximum value of the output of the ith micro power source are respectively;
energy storage restraint:
in the formula:
representing a minimum maximum capacity of stored energy;
and (3) climbing restraint:
in the formula: -r di 、r ui Respectively is the speed limit value of load shedding and load loading of the controllable output unit i in the scheduling t period;
electric-to-gas restraint:
in the formula
Represents electricityThe upper limit of the output of the gas conversion equipment;
thermoelectric ratio constraint:
K pmin ，K pmax the maximum and minimum thermoelectric ratios of the micro-combustion engine are obtained.
Preferably, the output upper and lower limit constraints comprise wind power output upper and lower limit constraints, photovoltaic output upper and lower limit constraints, micro gas turbine output upper and lower limit constraints and micro power source output upper and lower limit constraints.
Preferably, the stored energy constraints include electrical stored energy constraints and thermal stored energy constraints.
The invention has the following beneficial effects:
through conversion units such as P2G equipment, a cogeneration unit and energy storage equipment, the coupling relation between a power system and a natural gas network is strengthened, the flexibility of the system is improved, the advantage complementation of each unit in the system can be realized by considering an electricity-to-gas unit, the energy utilization efficiency is improved, the optimization of a power supply in a network is coordinated, the cogeneration unit is enabled to operate more flexibly, and the energy consumption cost of a comprehensive energy system is saved.
The electricity changes gas polymerization unit, has strengthened the contact between electricity, heat, the gas network, has had surplus, the lower and higher period of time of gas price of electricity price to turn into the natural gas with the electric energy at electric power, has effectively improved system operation economic nature and scheduling flexibility, has strengthened the consumption of new forms of energy, reduces the wind, the light of abandoning of system.
When the comprehensive system of the park is optimized, the complementary advantages of all units in the system can be realized by considering the electricity-to-gas unit, the energy utilization efficiency is improved, the power supply optimization in the network is coordinated, the cogeneration unit can operate more flexibly, and the energy consumption cost of the comprehensive energy system is saved.
Drawings
FIG. 1 is a diagram of the operation of the park energy system of the present invention;
FIG. 2 illustrates relevant operating parameters of the park energy system of the present invention;
FIG. 3 shows the energy storage system parameters of the present invention.
FIG. 4 is a wind power prediction curve of the present invention;
FIG. 5 is a photovoltaic output prediction curve of the present invention;
FIG. 6 is a predicted curve of the electrical heating load of the present invention;
FIG. 7 shows the energy utilization efficiency and new energy usage amount of different modes of the present invention;
FIG. 8 is a graph showing the energy utilization efficiency and new energy consumption according to different modes of the present invention;
FIG. 9 is a new energy actual output curve under different operation modes of the present invention;
FIG. 10 is a system operating cost analysis in accordance with various aspects of the present invention;
FIG. 11 is a comparative analysis of the output of each unit under different operating modes of the present invention.
Detailed Description
The invention is described in detail below with reference to the figures and the specific embodiments.
On the basis of the existing research, firstly, the basic principle of the electric-to-gas technology and the superiority of new energy consumption are analyzed; and secondly, a combined heat and power type park comprehensive energy system model consisting of a wind power, photovoltaic and combined heat and power generation unit, a waste heat boiler, energy storage equipment, an electricity-to-gas and an electric heat load is established, and the minimum comprehensive operation cost of the system is taken as a target function. The example simulation shows that the consideration of the electric-to-gas technology can effectively reduce the wind and light abandoning, reduce the operation cost of the system, improve the energy utilization efficiency and realize the environment-friendly and economic operation of the system compared with the case that the electric-to-gas technology is not considered.
An electric gas conversion technology:
the electric gas conversion technology is characterized in that intermittent new energy such as abandoned wind and abandoned light or surplus electric power of a load off-peak power grid is utilized to electrolyze water to produce hydrogen, and the produced hydrogen and carbon dioxide are subjected to methanation reaction through a catalyst to generate methane gas, so that the interconnected coupling of an electric power system and a natural gas system is realized. The hydrogen production by water electrolysis and methanation reaction are researched by relevant scholars in the power industry and the chemical industry respectively, but the combination of the hydrogen production by water electrolysis and the methanation reaction for providing services for a power system and a natural gas system as a whole is still in the starting stage.
The electro-gas conversion technology generates H2 and O2 by electrolyzing water, and then generates CH4 by methanation reaction of the H2 and CO 2. CH4 generated by P2G conversion can be directly injected into a natural gas network for transportation and storage and use by an end user, on the other hand, because P2G electrolyzed water is not limited by environment and time, abundant electric power can be used for electrolyzing water to produce hydrogen in wind abandoning, light abandoning and load valley periods, and the technology plays an important role in eliminating the wind abandoning and light abandoning and receiving uncertain and intermittent renewable energy output.
The electricity-to-gas process comprises two stages, wherein the first stage is a water electrolysis stage, hydrogen is produced by electrolyzing water through commercial power or new energy resources such as wind power and photovoltaic, the produced hydrogen and carbon dioxide are subjected to methanation reaction to produce methane, the methane is introduced into a natural gas network, and the natural gas produced by electricity-to-gas process can be used as a natural gas automobile fuel, can also be supplied to a cogeneration unit to generate electricity or a gas boiler to realize electricity/gas/heat/cold cogeneration, and can be used as a resident gas load. Electricity is changeed gas and is turned into the chemical energy with the electric energy, divide into electricity and changes hydrogen and electricity and change two main types of natural gas, and wherein electricity changes hydrogen and produces hydrogen and oxygen through the electrolysis water, and the chemical formula is as follows:
because of the storage and transportation difficulties of hydrogen, electricity is generally used to convert natural gas. The electricity is converted into natural gas by CO based on the electrolysis of hydrogen 2 And H 2 The methane is generated by chemical reaction under certain environment. Therefore, the P2G technology provides a brand-new energy storage manner for the power system, which can deepen the coupling between the power system and the natural gas system, and enhance the capability of the power system to accept intermittent renewable energy for power generation, and the chemical expression thereof can be expressed as:
CO 2 +4H 2 →CH 4 +2H 2 O (2)
the energy conversion efficiency in the process of converting electricity into hydrogen is 75-85%, the energy conversion efficiency in the methanation process is 75-85%, and the comprehensive efficiency of converting electricity into natural gas is 45-60% after the two-stage chemical reaction.
The power grid mainly comprises a wind driven generator, a photovoltaic generator, a micro-combustion engine, an electric boiler, electric energy storage, thermal energy storage, electric gas conversion, a gas boiler, an electric load and a thermal load.
The wind power generator model comprises:
the output power of the wind turbine is as follows:
in the formula, P t wind Is the output power of the fan, KW; v. of ci ，v c0 ，v r Respectively the cut-in wind speed, the cut-out wind speed and the rated wind speed m/s; p r Rated output power, KW; and a and b are wind speed correlation coefficients.
Photovoltaic generator model:
the physical model of the photovoltaic is typically expressed as:
P t pv ＝ξCOSθη m A p η p (4)
where ξ represents the actual illumination radiation intensity; θ represents an angle of incidence of the illumination to the solar panel; eta m Representing the efficiency of the MPPT controller; a. The P Is the area of the solar panel; eta p Indicating the efficiency of the solar panel.
Cogeneration unit model:
the core devices of the cogeneration unit are a micro cogeneration unit and a waste heat boiler. High-grade heat energy generated during combustion of natural gas does work to drive the micro-gas turbine to generate electricity, and exhausted high-temperature waste heat smoke is heated by the waste heat recovery device and supplies domestic hot water, so that the energy utilization efficiency is improved. The mathematical model of the thermoelectric relationship is as follows:
in the formula (I), the compound is shown in the specification,
P t MT 、
respectively representing exhaust waste heat quantity, electric power and power generation efficiency of the micro combustion engine in a time period t; eta L The heat dissipation loss rate;
representing the heating capacity of the bromine refrigerator in a time period t; c oph 、η h Respectively representing the heating coefficient and the flue gas recovery rate of the bromine refrigerator.
The fuel cost of the micro-combustion engine in the time period t is
Where Δ t is the unit scheduling time, F MT Scheduling the fuel cost in the total period T; c CH4 The price of the natural gas is expressed, and 2.5 yuan/cubic meter is taken; l is MT The low heat value of the natural gas is expressed, and 9.7 kW.h/m is taken 3 。
Heat storage tank model:
the heat storage tank has an important function of stabilizing the output fluctuation of new energy and has an irreplaceable position in the comprehensive energy system. The characteristics of the heat storage tank can be described as the relationships among the capacity, the input and output capacity and the heat efficiency of the equipment, and the dynamic mathematical model can be expressed as follows:
wherein the content of the first and second substances,
heat storage capacity expressed as heat storage over time period t; mu is expressed as the heat dissipation loss rate of heat storage;
the heat absorption and release power of the heat storage tank in a time period t is represented; eta hch 、η hdis Expressed as the heat absorption and release efficiency over time period t.
Storage battery energy storage model:
the electric energy storage in the micro-grid can realize peak clipping, valley filling and more new energy consumption of electric load, and the relation model of the energy storage capacity and the charge-discharge power of the storage battery is as follows:
wherein the content of the first and second substances,
a storage capacity expressed as electrical energy storage over a time period t; mu is expressed as the loss rate of the electrical energy storage; p t EES,in 、P t EES,dis The charging and discharging power of the storage battery in a time period t is expressed; eta hch 、η hdis Expressed as the charging/discharging efficiency in the period t.
Electric boiler model:
the electric boiler is typical electric heat coupling equipment, and its consumption electric energy produces heat energy in order to satisfy heat load and heat storage tank demand, and the electric boiler cooperates the combined heat and power generation system to satisfy the power consumption that the heat load demand increased the millet period under the guide of timesharing power rate, consequently introduces the electric boiler and can realize electric heat conversion and coordinate electric heat load, and typical output model is:
in the formula
P t EB 、η EB Electric energy consumption and heating power of the electric boiler are respectively in a time period t; eta EB The efficiency of the electric-to-heat conversion is shown,
respectively expressed as the minimum heating power and the maximum heating power of the electric boiler.
A gas boiler:
the gas boiler consumes natural gas as primary energy to generate heat energy as a supplementary heat source of the cogeneration unit, and an output expression model between the heat energy and the used natural gas is as follows [19]:
in the formula (I), the compound is shown in the specification,
the thermal power output by the cogeneration unit at the moment t is represented; eta BL Expressing the combustion efficiency of the gas boiler; f t BL Representing the amount of natural gas consumed at time t; f BL Representing the cost of natural gas energy consumption in a scheduling period; c CH4 Representing the natural gas price;
electric gas conversion model:
the running cost of the P2G device comprises two parts of fixed cost and variable cost, wherein the fixed cost comprises the cost of daily maintenance cost, labor force and the like of equipment; variable cost refers to the cost required to convert natural gas, which has a direct impact on the optimization results. The P2G operating costs referred to herein all refer to variable costs, including electricity costs and raw material costs. The electricity consumption cost refers to the electricity consumption of the electricity-to-gas conversion device, and the raw material cost is the CO2 cost.
Therefore, the t-period P2G device operating cost can be expressed by the following equation:
in the formula:
alpha represents the electricity price and the CO2 price in the period t and the CO2 coefficient required by generating the unit of natural gas respectively; p t P2G 、
The electric power consumed by the electric gas conversion device and the generated natural gas power are respectively expressed in a time t, and the electric power consumed by the electric gas conversion device and the generated natural gas power have a certain relation as follows:
in the formula: eta eg Is the efficiency of the P2G device.
An objective function:
the optimization target of the comprehensive energy system comprises the cost of natural gas consumption of a combined heat and power cogeneration unit, the cost of natural gas consumption of a gas boiler, the electricity-to-gas operation cost, the new energy abandonment cost and the operation and maintenance cost of each equipment unit, so that the total operation cost of the comprehensive energy system of the park is minimum.
The park comprehensive energy system has the economic objective function as follows:
F MT the cost of consuming primary energy of natural gas for the cogeneration unit in the scheduling period; f wp Abandoning the new energy output cost in the dispatching period; f t P2G Representing the cost of converting the dispatching cycle into electricity to gas; f BL Indicating a scheduling periodInternal gas boilers consume primary energy costs of natural gas; f ME Representing the operation and maintenance cost of all the devices in the microgrid in the scheduling period; f EX Representing the electricity purchase cost interacted with a large power grid in a dispatching period;
wherein, C mi Represents the unit maintenance cost of the unit i; p t i Represents the output of time t unit i; c buy ,C sell Respectively showing electricity purchasing price and electricity selling price; p t ex And the interactive power of the microgrid and the large power grid in the period t is represented, a positive value represents electricity purchasing, and a negative value represents electricity selling to the large power grid.
Constraint conditions are as follows:
1) System electric power balance constraint:
2) The upper and lower limits of output of wind power, photovoltaic, micro-gas turbine and micro-power supply are restricted:
in the formula:
the minimum value and the maximum value of the ith micro-power output are respectively.
3) Electric energy storage and thermal energy storage restraint:
in the formula:
representing the minimum maximum capacity of thermal energy storage.
5) Controllable unit climbing is about:
in the formula: -r di 、r ui And respectively the unloading rate limit value and the loading rate limit value of the controllable output unit i in the scheduling t period.
6) Electrical to gas restraint;
from the above discussion, the operating cost of a P2G plant is closely related to electricity prices, CO2 prices, and the like. Therefore, P2G has a direct impact on system scheduling.
In the formula
Represents the upper limit of the output of the P2G device.
7) Micro gas turbine thermoelectric ratio constraint;
K pmin ，K pmax the maximum and minimum thermoelectric ratio of the micro-combustion engine are obtained.
Example (b):
selecting a comprehensive energy system of a certain park in a certain area of China. And taking 24 hours a day as the scheduling time, wherein the unit scheduling time is 1 hour, and the flue gas exhausted by the micro-combustion engine is completely supplied to the waste heat boiler. Fig. 2 shows the operation and maintenance costs of each unit of the integrated energy system, and fig. 3 shows the relevant parameters of the energy storage system. FIG. 4 is a system electricity and heat load curve and a wind power and photovoltaic combined prediction output curve. The electricity purchase price connected with the power grid is 1.2 yuan/kilowatt hour: the price of electricity sold is 0.7 yuan/kilowatt hour. Thermoelectric ratio constraint references [ Chen Zhaoyu, wang Dan, gu Hongjie, and the like ] consider P2G multi-source energy storage type microgrid day-ahead optimal economic scheduling strategy research [ J ]. China Motor engineering report, 2017,37 (11): 3067-3077+33626 ]. The system internal parameters are shown in fig. 2, and the energy storage system parameters are shown in fig. 3.
In order to verify the advantages of the electricity-to-gas technology in the aspects of new energy consumption and running cost reduction, the following comparison scheme scenes are set for comparison:
mode 1: without considering the electric gas conversion technology
Mode 2: consider the electric gas conversion technology
And (4) analyzing results:
analysis of new energy consumption and energy utilization efficiency under different operation modes can be seen from fig. 7-9, in the comprehensive energy management, the new energy consumption is considered to be more in the electricity-to-gas conversion process than the new energy consumption is not considered, the energy utilization efficiency of the mode 1 is 83.93%, the new energy utilization rate (wind abandoning and light abandoning) is 26.4%, the energy utilization efficiency of the mode 2 is improved to 95.39%, and the new energy utilization rate (wind abandoning and light abandoning) is reduced to 10.8%, so that the consumption and the energy utilization efficiency of the new energy can be improved.
Analyzing the running cost of the system in different modes: as can be seen from fig. 10 and 11, the total system operating cost in the mode 2 operating mode is 12394.2 yuan, which reduces 1708.2 yuan compared with the mode 1 operating mode, and the flexibility of the cogeneration unit can be effectively improved by considering the comprehensive energy system after the electric-to-gas device. It is seen from fig. 11 that the electricity-to-gas cost of the mode 2 is increased at will, but the flexibility between the units in the integrated energy system after electricity-to-gas is increased, so that when the wind power and the photovoltaic are more, surplus electricity can be used for electricity-to-gas when the electricity is rich, consumption of new energy is increased, the generated natural gas can be used as a cogeneration gas unit and a gas boiler in the system, and the utilization efficiency of the integrated energy in the garden is greatly improved.
In summary, the addition of the electric gas conversion unit in the comprehensive energy system management can effectively improve the energy utilization efficiency, reduce the system operation cost, improve the stability of the cogeneration unit set, give up a consumption space for new energy output, and provide an effective way for energy conservation and emission reduction under the aim of 'double carbon'.
Conclusion
1) The P2G technology is used as a novel energy conversion and storage mode to provide a new way for the consumption of renewable energy, and the coupling relation between a power system and a natural gas network is enhanced and the flexibility of the system is improved through conversion units such as P2G equipment, a cogeneration unit and the like.
2) The electricity changes gas polymerization unit, has strengthened the contact between electricity, heat, the gas network, has had surplus, the lower and higher period of time of gas price of electricity price to turn into the natural gas with the electric energy at electric power, has effectively improved system operation economic nature and scheduling flexibility, has strengthened the consumption of new forms of energy, reduces the wind, the light of abandoning of system.
3) When the comprehensive system of the park is optimized, the complementary advantages of all units in the system can be realized by considering the electricity-to-gas unit, the energy utilization efficiency is improved, the power supply optimization in the network is coordinated, the cogeneration unit can operate more flexibly, and the energy consumption cost of the comprehensive energy system is saved.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes performed by the present specification and drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (8)
1. A source and load storage coordination optimization scheduling method for a park comprehensive energy system is characterized by comprising the following steps: the method comprises the following steps:
constructing a park comprehensive energy system containing electricity-to-gas, a wind turbine generator, a photovoltaic generator, a cogeneration generator and an energy storage device electricity-heat-gas;
considering the electricity-to-gas participation in a natural gas trading market and an electric power trading market of the park comprehensive energy system, and establishing an optimized scheduling model;
the optimized scheduling model comprises constraint conditions and an objective function, and under the constraint of the constraint conditions, the system operation optimized scheduling model takes the lowest total cost of the system as the objective function to solve the optimal solution of the optimization result;
the objective function is:
Min F＝F MT +F wp +F t P2G +F ME +F BL +F XE (16)
F MT the cost of consuming primary energy of natural gas for the cogeneration unit in the scheduling period; f wp Abandoning the new energy output cost in the dispatching period; f t P2G Representing the cost of converting the dispatching cycle into electricity to gas; f BL Representing the primary energy cost of natural gas consumed by the gas boiler in the dispatching period; f ME Representing the operation and maintenance cost of all the devices in the microgrid in the scheduling period; f EX Representing the electricity purchase cost interacted with a large power grid in a dispatching period;
wherein, C mi Represents the unit maintenance cost of the unit i; p t i Represents the output of time t unit i; c buy ,C sell Respectively showing the electricity purchasing price and the electricity selling price; p t ex And the interactive power of the microgrid and the large power grid in the period t is represented, a positive value represents electricity purchasing, and a negative value represents electricity selling to the large power grid.
2. The source-load-storage coordination optimization scheduling method of the park integrated energy system according to claim 1, characterized in that: the park comprehensive energy system comprises a wind turbine generator, a photovoltaic generator, a cogeneration generator, energy storage equipment, a boiler and electricity-to-gas conversion.
3. The source-storage coordination optimization scheduling method for the park integrated energy system according to claim 2, characterized in that: the energy storage equipment comprises a heat storage tank and a storage battery for storing energy; the boiler includes an electric boiler and a gas boiler.
4. The source-load-storage coordination optimization scheduling method of the park integrated energy system according to claim 3, characterized in that:
the output power of the wind power generation assembly is as follows:
in the formula, P t wind Is the output power of the fan, KW; v. of ci ，v c0 ，v r Respectively the cut-in wind speed, the cut-out wind speed and the rated wind speed, m/s; p is r Rated output power, KW; a and b are wind speed correlation coefficients;
the model of the photovoltaic power generation assembly is represented as:
P t pv ＝ξCOSθη m A p η p (4)
where ξ represents the actual illumination radiation intensity; θ represents an angle of incidence of the illumination to the solar panel; eta m Representing the efficiency of the MPPT controller; a. The P Is the area of the solar panel; eta p Representing the efficiency of the solar panel;
the cogeneration unit comprises a micro cogeneration unit and a waste heat boiler; the mathematical model of the thermoelectric relationship is as follows:
in the formula (I), the compound is shown in the specification,
P t MT 、
respectively representing exhaust waste heat, electric power and power generation efficiency of the micro-combustion engine in a time period t; eta L The heat dissipation loss rate;
representing the heating capacity of the bromine refrigerator in a time period t; c oph 、η h Respectively representing the heating coefficient and the flue gas recovery rate of the bromine refrigerator;
the fuel cost of the micro-combustion engine in the time period t is as follows:
where Δ t is the unit scheduling time, F MT Scheduling the fuel cost in the total period T; c CH4 Representing the natural gas price; l is MT Indicating a low heating value of natural gas.
The heat storage tank model is represented as:
wherein the content of the first and second substances,
heat storage capacity expressed as heat storage over time period t; mu is expressed as the heat dissipation loss rate of heat storage;
the heat absorption and release power of the heat storage tank in a time period t is represented; eta hch 、η hdis Expressed as heat absorption and release efficiency over time period t;
the relation model of the storage battery energy storage capacity and the charge-discharge power is as follows:
wherein the content of the first and second substances,
a storage capacity expressed as electrical energy storage over a time period t; mu is expressed as the loss rate of the electrical energy storage; p t EES,in 、P t EES,dis The charging and discharging power of the storage battery in a time period t is expressed; eta hch 、η hdis Expressed as the charging efficiency in time period t;
the electric boiler model is as follows:
in the formula
P t EB 、η EB Electric energy consumption and heating power of the electric boiler are respectively in a time period t; eta EB The efficiency of the electric-to-heat conversion is shown,
respectively expressed as the minimum heating power and the maximum heating power of the electric boiler;
the gas boiler model is as follows:
in the formula (I), the compound is shown in the specification,
the thermal power output by the cogeneration unit at the moment t is represented; eta BL Representing the combustion efficiency of the gas boiler; f t BL Representing the amount of natural gas consumed at time t; f BL Representing the cost of natural gas energy consumed in the scheduling period; c CH4 Representing the natural gas price;
the electric gas conversion equipment model in the period t is as follows:
in the formula:
alpha represents the electricity price and CO respectively in the period t 2 Price and CO required to produce a unit of natural gas 2 A coefficient; p t P2G 、
Respectively representing the consumed electric power and the generated natural gas power of the electric gas conversion device in the period t, and the relationship between the consumed electric power and the generated natural gas power is as follows:
in the formula: eta eg The efficiency of the electric gas conversion equipment.
5. The source-storage coordination optimization scheduling method for the park integrated energy system according to claim 4, characterized in that: the constraint conditions comprise electric power balance constraint, output upper and lower limit constraint, energy storage constraint, climbing constraint, electric-to-gas constraint and thermoelectric ratio constraint.
6. The energy system source-charge-storage coordination optimization scheduling method considering electricity to gas as claimed in claim 5, characterized in that:
the electric power balance constraint is:
P t ex +P t wp +P t MT +P t HS,dis ＝P t load +P t EB +P t HS,in (20)
and (3) restraining the upper and lower output limits:
in the formula:
the minimum value and the maximum value of the output of the ith micro power source are respectively;
energy storage restraint:
in the formula:
representing a minimum maximum capacity of stored energy;
and (3) climbing restraint:
in the formula: -r di 、r ui Respectively is the speed limit value of load shedding and load loading of the controllable output unit i in the scheduling t period;
electric-to-gas restraint:
in the formula
Representing the upper limit of the output of the electric gas conversion equipment;
thermoelectric ratio constraint:
K pmin ，K pmax the maximum and minimum thermoelectric ratios of the micro-combustion engine are obtained.
7. The source-load-storage coordination optimization scheduling method of the park integrated energy system according to claim 6, characterized in that: the output upper and lower limit constraints comprise wind power output upper and lower limit constraints, photovoltaic output upper and lower limit constraints, micro gas turbine output upper and lower limit constraints and micro power source output upper and lower limit constraints.
8. The source-load-storage coordination optimization scheduling method of the park integrated energy system according to claim 6, characterized in that: the energy storage constraints include electrical energy storage constraints and thermal energy storage constraints.
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