CN114204573A - Self-consistent energy system control device and method - Google Patents

Self-consistent energy system control device and method Download PDF

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CN114204573A
CN114204573A CN202111490605.XA CN202111490605A CN114204573A CN 114204573 A CN114204573 A CN 114204573A CN 202111490605 A CN202111490605 A CN 202111490605A CN 114204573 A CN114204573 A CN 114204573A
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陈兴赞
琚长江
杨根科
熊灿
姚卓宇
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Ningbo Institute Of Artificial Intelligence Shanghai Jiaotong University
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
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Abstract

The invention discloses a self-consistent energy system control device, and relates to the technical field of road traffic multi-energy system planning and scheduling. The invention also discloses a self-consistent energy system control method, which comprises S100, collecting a generating capacity predicted value, a load predicted value and residual energy storage data of the self-consistent energy system at the integral point moment of 24 hours in the day; s200, transmitting a generated energy predicted value, a load predicted value and residual stored energy data of the self-consistent energy system; s300, storing the generated energy predicted value, the load predicted value, the residual stored energy data, basic parameters of energy conversion equipment and energy storage equipment and the energy price; s400, reading a generated energy predicted value, a load predicted value and residual stored energy data, and establishing a planning and scheduling model comprising a target function and corresponding constraints; s500, solving an optimal solution; and S600, controlling the self-consistent energy system to work. The invention minimizes the energy purchase cost and realizes the profit maximization.

Description

Self-consistent energy system control device and method
Technical Field
The invention relates to the technical field of planning and scheduling of a road traffic multi-energy system, in particular to a self-consistent energy system control device and method.
Background
With the transformation of energy structures in China, distributed renewable energy sources such as wind power and photoelectricity begin to be utilized on a large scale, but the power generation of clean energy sources such as wind and light is greatly uncertain due to the intermittence of the clean energy sources. China is a country with large energy consumption, the field of road traffic is one of the main bodies of the energy consumption of China, and the electrification construction of the road traffic is an energy structure innovation, so that the use of fossil energy can be effectively reduced, the pollutant and carbon emission are reduced, and the method has important significance for the economic, green, healthy and sustainable development of China. However, traffic load is also highly uncertain due to people's living habits, geographical environment, and the like.
The phenomena of wind abandoning and light abandoning in China are serious due to uncertain supply and demand, and even the energy use at the user side is influenced. Different from the traditional energy planning, the self-consistent energy system only aims at a single energy system, realizes complementation and mutual assistance between energy sources through uniformly planning various energy sources such as electricity, heat, gas and the like in a certain area, is cooperatively optimized, and particularly contains various energy storage devices, can effectively reduce the phenomena of 'wind abandonment' and 'light abandonment', promotes the solution of the problem of unbalanced supply and demand, and effectively improves the requirements on the aspects of energy utilization efficiency, environmental protection, economic benefit and the like.
Most of the previous integrated energy system designs do not consider the field of road traffic and do not contain new energy sources such as various types of energy storage equipment and wind, light and the like. Patent CN105183991A, a planning and designing method of regional integrated energy system, is designed for the garden, and patent CN105939029A, a planning scheme obtaining method and system of integrated energy system, do not consider the large-scale utilization of clean energy such as wind, light, etc. The design of a self-consistent energy system facing the field of highway traffic is an important way for solving the contradiction between energy supply and demand and realizing green, low-carbon, high-efficiency and sustainability, and is an important hand for realizing the strategic goal of 'double-carbon' in China.
Therefore, those skilled in the art are devoted to developing a self-consistent energy system control apparatus and method.
Disclosure of Invention
In view of the above defects in the prior art, the technical problem to be solved by the present invention is how to minimize the purchase cost of external energy sources of the highway integrated energy station and maximize the profit based on multiple energy storage devices.
The self-consistent energy system is an energy production and marketing integrated system which organically coordinates links of production, conversion, transmission, distribution, storage, consumption and the like of energy in the system by utilizing clean energy such as wind, light and the like in the processes of planning, construction, operation and the like. The self-consistent energy system utilizes abundant wind and light resources to generate a large amount of electric energy, the electric energy can be used for charging of electric vehicles, refrigeration of cold chain vehicles, hydrogen production of electrolytic baths, and residual electricity can be stored by utilizing electricity storage equipment and interacted with a power grid. The natural gas can generate electricity through a natural gas generator, and the natural gas hydrogen generator generates hydrogen; the hydrogen fuel cell can convert hydrogen energy into electric energy, and the hydrogen storage equipment is utilized to realize flexible utilization of the hydrogen energy. In the whole process, the external energy supply amount is assumed to be sufficient, namely, when the wind power, the light power generation amount and the energy storage surplus amount are not enough to maintain the balance of the supply and demand of the system, the external energy can be purchased in time.
The inventor designs a self-consistent energy system control device, receives self-consistent energy system operation in-process source (including aerogenerator, photovoltaic power generation board, external energy purchase), lotus (i.e. trolley-bus charging, cold-chain car charging, hydrogen car charging), storage (i.e. energy storage equipment, including power storage equipment, hydrogen storage equipment) data and does reasonable planning to the energy utilization in the system, optimizes energy utilization efficiency on the basis of realizing supply and demand balance.
In one embodiment of the present invention, there is provided a self-consistent energy system control apparatus including:
the communication module is used for transmitting the generated energy predicted value, the load predicted value and the residual stored energy data of the self-consistent energy system in each time period in the planning period;
the storage module is used for storing a generated energy predicted value, a load predicted value, residual stored energy data, basic parameters of equipment in the self-consistent energy system and an energy price of the self-consistent energy system in a planning period;
the planning module is used for establishing a planning and scheduling model, including a target function and corresponding constraints, and solving an optimal solution;
the output module is used for controlling the self-consistent energy system to work according to the optimal solution;
the electric quantity predicted value, the load predicted value and the residual energy storage data of the self-consistent energy system are transmitted to the storage module through the communication module to be stored for the planning module to inquire, a target function and corresponding constraint are established, and the work of the self-consistent energy system is controlled through the output module after the optimal solution is obtained.
Optionally, in the self-consistent energy system control apparatus in the above embodiment, the self-consistent energy system includes wind, light renewable energy, and grid electric energy, natural gas, hydrogen, cold energy, and energy conversion device, and energy storage device.
Optionally, in the self-consistent energy system control device in the above embodiment, the planning module uses a 24-hour day planning method, and substitutes a predicted power generation amount value, a predicted load value, remaining energy storage data, basic parameters of devices in the self-consistent energy system, and an energy price into the constructed 24-hour day planning and scheduling model to obtain an optimal solution of the interaction state and the operating power of the self-consistent energy system with an external grid, the external gas purchasing power, the external hydrogen purchasing power, the operating power of the energy conversion device, and the operating state and the power of the energy storage device in 24 hours day.
Alternatively, in the self-consistent energy system control device in the above embodiment, the energy conversion apparatus includes a natural gas hydrogen production machine, a natural gas power generator, an electrolyzer, an electric refrigerator, and a hydrogen fuel cell.
Optionally, in the self-consistent energy system control apparatus in any of the above embodiments, the energy storage device includes an electric storage device and a hydrogen storage device.
Optionally, in the self-consistent energy system control device of any one of the above embodiments, the load includes an electrical load, a cooling load, and a hydrogen load.
Further, in the self-consistent energy system control device in the above-described embodiment, the electric load includes electric-car charging, the cold load includes cold-chain-car charging, and the hydrogen load includes hydrogen-fuel-car charging.
Optionally, in the self-consistent energy system control device in any one of the above embodiments, the power generation amount predicted value includes a wind power generation amount predicted value and a photovoltaic power generation amount predicted value.
Optionally, in the self-consistent energy system control device in any one of the above embodiments, the load prediction value includes an electrical load prediction value, a hydrogen load prediction value, and a cold load prediction value.
Optionally, in the self-consistent energy system control apparatus in any of the above embodiments, the objective function is a self-consistent energy system day-to-outside energy purchase cost.
Further, in the self-consistent energy system control apparatus in the above embodiment, the objective function is expressed as:
Figure BDA0003398273740000031
wherein C is the daily external energy purchase cost of the self-consistent energy system, Min is the minimum value, 1 hour is taken as a unit, T is 24, Ce(t) the external electricity purchase cost of the self-consistent energy system at the time t, Cg(t) gas purchase cost from outside of self-consistent energy system at time t, Chy(t) is the hydrogen purchase cost of the self-consistent energy system from the outside at the time t, and is respectively expressed as follows:
Figure BDA0003398273740000032
Figure BDA0003398273740000033
Figure BDA0003398273740000034
wherein alpha is1For outsourcing the price of electricity, alpha2For selling electricity to the grid, α3For the price of outsourcing natural gas, alpha4In order to be the price of the purchased hydrogen,
Figure BDA0003398273740000041
for the purchased electric power at the time t,
Figure BDA0003398273740000042
selling electric power to the power grid for the time t,
Figure BDA0003398273740000043
the power of the purchased natural gas at the moment of hooking t,
Figure BDA0003398273740000044
and delta t is the difference between the two planning times before and after the purchased hydrogen power at the time t.
Optionally, in the self-consistent energy system control apparatus in any of the above embodiments, the corresponding constraint includes that the corresponding constraint includes an external energy transmission power constraint, an energy conversion device power constraint, an energy storage device capacity constraint, an energy power balance constraint, and an energy production constraint.
Further, in the self-consistent energy system control apparatus in the above embodiment, the energy storage device power constraint includes an electrical storage device power constraint and a hydrogen storage device power constraint; the energy storage equipment capacity constraint comprises an electric storage equipment capacity constraint and a hydrogen storage equipment capacity constraint; the energy power balance constraint comprises an electric power balance constraint, a cold power balance constraint and a hydrogen power balance constraint; the energy production constraint electric energy comprises heat energy, cold energy and hydrogen energy production constraint.
Optionally, in the self-consistent energy system control apparatus in any of the above embodiments, the external energy transmission power constraint is expressed as:
Figure BDA0003398273740000045
Figure BDA0003398273740000046
Figure BDA0003398273740000047
Figure BDA0003398273740000048
wherein the content of the first and second substances,
Figure BDA0003398273740000049
for the maximum power when purchasing power from the power grid,
Figure BDA00033982737400000410
is the maximum power when selling electricity to the power grid,
Figure BDA00033982737400000411
Maximum power for purchasing hydrogen from the outside,
Figure BDA00033982737400000412
The maximum power for purchasing gas to the outside.
Optionally, in the self-consistent energy system control apparatus in any of the above embodiments, the energy conversion device power constraint is expressed as:
Figure BDA00033982737400000413
Figure BDA00033982737400000414
Figure BDA00033982737400000415
Figure BDA00033982737400000416
Figure BDA0003398273740000051
wherein the content of the first and second substances,
Figure BDA0003398273740000052
for the working power of the natural gas generator at the moment t,
Figure BDA0003398273740000053
the working power of the natural gas hydrogen production machine at the moment t,
Figure BDA0003398273740000054
the working power of the electrolytic cell at the moment t,
Figure BDA0003398273740000055
for the operating power of the hydrogen fuel cell,
Figure BDA0003398273740000056
for the working power of the electric refrigerator at the time t,
Figure BDA0003398273740000057
is the maximum working power of the natural gas generator,
Figure BDA0003398273740000058
is the maximum working power of the natural gas hydrogen production machine,
Figure BDA0003398273740000059
the maximum working power of the electrolytic cell is obtained,
Figure BDA00033982737400000510
is the maximum operating power of the fuel cell,
Figure BDA00033982737400000511
the maximum working power of the electric refrigerator.
Optionally, in the self-consistent energy system control apparatus in any of the above embodiments, the power constraint of the electric storage device is expressed as:
Figure BDA00033982737400000512
Figure BDA00033982737400000513
wherein the content of the first and second substances,
Figure BDA00033982737400000514
for the storage power of the storage apparatus at time t,
Figure BDA00033982737400000515
for the discharge power of the electric storage device at time t,
Figure BDA00033982737400000516
is the maximum electrical storage power of the electrical storage device,
Figure BDA00033982737400000517
is the maximum discharge power of the electric storage device,
Figure BDA00033982737400000518
the value is 0 or 1, and the like,
Figure BDA00033982737400000519
indicating that the power storage equipment stores power at the time t, otherwise
Figure BDA00033982737400000520
Indicating that the electricity storage device is discharged at the t-th moment, otherwise
Figure BDA00033982737400000521
The power storage device cannot store and discharge power simultaneously, i.e., cannot be 1 at the same time, and needs to satisfy the condition
Figure BDA00033982737400000522
Optionally, in the self-consistent energy system control apparatus in any of the above embodiments, the hydrogen storage device power constraint is expressed as:
Figure BDA00033982737400000523
Figure BDA00033982737400000524
wherein the content of the first and second substances,
Figure BDA00033982737400000525
the hydrogen storage power of the hydrogen storage device at time t,
Figure BDA00033982737400000526
the hydrogen discharge power of the hydrogen storage device at the moment,
Figure BDA00033982737400000527
is the maximum hydrogen storage power of the hydrogen storage device,
Figure BDA00033982737400000528
is the maximum hydrogen discharge power of the hydrogen storage device,
Figure BDA00033982737400000529
the value is 0 or 1, and the like,
Figure BDA00033982737400000530
indicating that the hydrogen storage equipment stores hydrogen at the time t, otherwise
Figure BDA0003398273740000061
Indicating that the hydrogen storage equipment releases hydrogen at the time t, otherwise
Figure BDA0003398273740000062
The hydrogen storage equipment can not store hydrogen and discharge hydrogen at the same time, namely can not be 1 at the same time, and the condition is required to be met
Figure BDA0003398273740000063
Optionally, in the self-consistent energy system control apparatus in any of the above embodiments, the electric storage device capacity constraint is expressed as:
Figure BDA0003398273740000064
Figure BDA0003398273740000065
wherein the content of the first and second substances,
Figure BDA0003398273740000066
for the stored electric power amount of the electric power storage device at time t,
Figure BDA0003398273740000067
the electric storage capacity, eta, of the electric storage device at time t-1es,chFor the storage efficiency, η, of the storage apparatuses,dchIn order to achieve the discharge efficiency of the electric storage device,
Figure BDA0003398273740000068
to the minimum storage capacity limit of the electric storage device,
Figure BDA0003398273740000069
is limited by the maximum storage capacity of the storage device.
Optionally, in the self-consistent energy system control apparatus in any of the above embodiments, the hydrogen storage device capacity constraint is expressed as:
Figure BDA00033982737400000610
Figure BDA00033982737400000611
wherein the content of the first and second substances,
Figure BDA00033982737400000612
the amount of hydrogen stored in the hydrogen storage apparatus at time t,
Figure BDA00033982737400000613
the amount of hydrogen stored in the hydrogen storage facility at time t-1, etahys,chFor the hydrogen storage efficiency of the hydrogen storage apparatus, etahys,dchIn order to achieve the hydrogen discharge efficiency of the hydrogen storage apparatus,
Figure BDA00033982737400000614
is a minimum hydrogen storage capacity limit of the hydrogen storage device,
Figure BDA00033982737400000615
is the maximum hydrogen storage capacity limit of the hydrogen storage device.
Alternatively, in the self-consistent energy system control apparatus in any of the above embodiments, the electric power balance constraint is expressed as:
Figure BDA00033982737400000616
wherein the content of the first and second substances,
Figure BDA00033982737400000617
the output power of the wind power at the moment t,
Figure BDA00033982737400000618
for the photoelectric output power at the time t,
Figure BDA00033982737400000619
for purchasing electric power from the external power grid at the time t,
Figure BDA00033982737400000620
for the discharge power of the electric storage device at time t,
Figure BDA00033982737400000621
for the electricity generation power of the natural gas generator at the moment t,
Figure BDA0003398273740000071
for the hydrogen fuel cell to generate electric power at time t,
Figure BDA0003398273740000072
the working power of the electrolytic cell at the moment t,
Figure BDA0003398273740000073
for the time t the electrical load demands power,
Figure BDA0003398273740000074
the working common rate of the electric refrigerator at the time t,
Figure BDA0003398273740000075
selling electric power to the power grid at the time t,
Figure BDA0003398273740000076
And charging power for the power storage equipment at the time t.
Optionally, in the self-consistent energy system control apparatus in any of the above embodiments, the cold power balance constraint is expressed as:
Figure BDA0003398273740000077
wherein the content of the first and second substances,
Figure BDA0003398273740000078
the refrigerating power of the electric refrigerator at the time t,
Figure BDA0003398273740000079
the power is demanded for the cooling load at time t.
Alternatively, in the self-consistent energy system control device in any of the above embodiments, the hydrogen power balance constraint is expressed as:
Figure BDA00033982737400000710
wherein the content of the first and second substances,
Figure BDA00033982737400000711
for the purpose of purchasing the hydrogen power at the moment t,
Figure BDA00033982737400000712
the hydrogen discharge power of the hydrogen storage equipment at the moment t,
Figure BDA00033982737400000713
the hydrogen production power of the electrolytic cell at the moment t,
Figure BDA00033982737400000714
the hydrogen power of the natural gas hydrogen production machine at the time t,
Figure BDA00033982737400000715
for the fuel cell operating power at time t,
Figure BDA00033982737400000716
for the hydrogen load demand power at time t,
Figure BDA00033982737400000717
the hydrogen storage power of the hydrogen storage equipment at the moment t.
Optionally, in the self-consistent energy system control device in any of the above embodiments, the electric energy, heat energy, cold energy, and hydrogen energy production constraints are expressed as:
Figure BDA00033982737400000718
Figure BDA00033982737400000719
Figure BDA00033982737400000720
Figure BDA00033982737400000721
Figure BDA00033982737400000722
Figure BDA00033982737400000723
wherein the content of the first and second substances,
Figure BDA00033982737400000724
for the electricity generating efficiency of the natural gas generator,
Figure BDA00033982737400000725
the hydrogen production efficiency of the natural gas hydrogen production machine,
Figure BDA00033982737400000726
in order to achieve the electrical generation efficiency of the fuel cell,
Figure BDA00033982737400000727
in order to improve the hydrogen production efficiency of the electrolytic cell,
Figure BDA00033982737400000728
the refrigeration power of the electric refrigerator.
Optionally, in the self-consistent energy system control apparatus in any of the above embodiments, the operation of the apparatus includes controlling energy purchasing power, energy discharging power, operating state and operating power of the energy conversion device, operating state and power of the energy storage device, and whether to cut out a certain load demand.
Based on the self-consistent energy system control device in any of the embodiments, in another embodiment of the present invention, a self-consistent energy system control method is provided, including the following steps:
s100, collecting a generated energy predicted value, a load predicted value and residual stored energy data of a self-consistent energy system at a 24-hour integral point moment in the day;
s200, transmitting a generated energy predicted value, a load predicted value and residual stored energy data of the self-consistent energy system;
s300, storing the generated energy predicted value, the load predicted value, the residual stored energy data, basic parameters of energy conversion equipment and energy storage equipment and the energy price;
s400, reading a generated energy predicted value, a load predicted value and residual stored energy data, and establishing a planning and scheduling model comprising a target function and corresponding constraints;
s500, solving an optimal solution;
and S600, controlling the self-consistent energy system to work.
Alternatively, in the self-consistent energy system control method in the above embodiment, the power generation amount predicted value in step S100 includes a wind power generation predicted value and a photovoltaic power generation predicted value.
Alternatively, in the self-consistent energy system control method in the above embodiment, the load prediction value in step S100 includes an electric load prediction value, a cold load prediction value, and a hydrogen load prediction value.
Alternatively, in the self-consistent energy system control method in the above embodiment, the objective function in step S400 is the daily external energy purchase cost of the self-consistent energy system.
Optionally, in the self-consistent energy system control method in the foregoing embodiment, the corresponding constraints in step S400 include external energy transmission power constraints, energy conversion device power constraints, power storage device power constraints, hydrogen storage device power constraints, power storage device capacity constraints, hydrogen storage device capacity constraints, electric power balance constraints, cold power balance constraints, hydrogen power balance constraints, and electric energy, heat energy, cold energy, and hydrogen energy production constraints.
Optionally, in the self-consistent energy system control method in any of the above embodiments, step S500 specifically includes:
s510, relaxing the original problem, introducing a relaxation variable to convert all inequality constraints into equality constraints, and writing the equality constraints into a linear programming standard form;
s520, multiplying the coefficient matrix of the objective function by all polar directions of a non-empty feasible domain formed by constraint, wherein an optimal solution exists when the products are negative.
And S530, solving the optimal solution of the external electricity purchasing power or electricity selling power, gas purchasing power, hydrogen purchasing power, working power of the energy conversion equipment and working state and working power of the energy storage equipment of the self-consistent energy system in each time period by using a simplex method and a branch-and-bound method.
Optionally, in the self-consistent energy system control method in any of the above embodiments, step S600 specifically includes controlling the system to purchase energy power, discharge energy power, the operating state and operating power of the energy conversion device, and the operating state and operating power of the energy storage device according to the optimal solution.
The invention provides a self-consistent energy system control device and method considering various energy storage devices, which are oriented to the field of highway traffic, constructs a self-consistent energy system energy planning mathematical model, minimizes external energy purchase cost of a highway comprehensive energy station on the premise of ensuring normal work of the system, and realizes profit maximization.
The conception, the specific structure and the technical effects of the present invention will be further described with reference to the accompanying drawings to fully understand the objects, the features and the effects of the present invention.
Drawings
Fig. 1 is a schematic diagram illustrating a self-consistent energy system control arrangement according to an exemplary embodiment;
fig. 2 is a flow chart illustrating a self-consistent energy system control method according to an example embodiment.
Detailed Description
The technical contents of the preferred embodiments of the present invention will be more clearly and easily understood by referring to the drawings attached to the specification. The present invention may be embodied in many different forms of embodiments and the scope of the invention is not limited to the embodiments set forth herein.
In the drawings, structurally identical elements are represented by like reference numerals, and structurally or functionally similar elements are represented by like reference numerals throughout the several views. The size and thickness of each component shown in the drawings are arbitrarily illustrated, and the present invention is not limited to the size and thickness of each component. The thickness of the components is exaggerated somewhat schematically and appropriately in order to make the illustration clearer.
The inventor designs a self-consistent energy system control device, and the self-consistent energy system comprises wind, light renewable energy, electric energy of a power grid, natural gas, hydrogen, cold energy, energy conversion equipment and energy storage equipment. As shown in fig. 1, includes:
the communication module is used for transmitting the generated energy predicted value, the load predicted value and the residual stored energy data of the self-consistent energy system in each time period in the planning period;
the storage module is used for storing a generated energy predicted value, a load predicted value, residual stored energy data, basic parameters of equipment in the self-consistent energy system and an energy price of the self-consistent energy system in a planning period;
the planning module is used for establishing a planning and scheduling model, including a target function and corresponding constraints, and solving an optimal solution; adopting a day-ahead 24-hour planning method, substituting a generated energy predicted value, a load predicted value, residual stored energy data, basic parameters of equipment in a self-consistent energy system and an energy price into a constructed day-ahead 24-hour planning and scheduling model, and solving the interaction state and the operating power of the self-consistent energy system with an external power grid within 24 hours in the day-ahead, the external gas purchasing power, the hydrogen purchasing power, the operating power of energy conversion equipment and the optimal solution of the working state and the power of energy storage equipment, wherein the energy conversion equipment comprises a natural gas hydrogen production machine, a natural gas generator, an electrolytic cell, an electric refrigerator and a hydrogen fuel cell, and comprises electricity storage equipment and hydrogen storage equipment; the loads comprise an electric load, a cold load and a hydrogen load, wherein the electric load comprises electric car charging, the cold load comprises cold chain car charging, and the hydrogen load comprises hydrogen fuel car charging; the power generation capacity predicted value comprises a wind power generation capacity predicted value and a photovoltaic power generation capacity predicted value; the load predicted value comprises an electric load predicted value, a hydrogen load predicted value and a cold load predicted value; the objective function is the daily and external energy purchasing cost of the self-consistent energy system;
the output module is used for controlling the self-consistent energy system to work according to the optimal solution;
the electric quantity predicted value, the load predicted value and the residual energy storage data of the self-consistent energy system are transmitted to the storage module through the communication module to be stored for the planning module to inquire, a target function and corresponding constraint are established, and the work of the self-consistent energy system is controlled through the output module after the optimal solution is obtained.
The work of the self-consistent energy system control device comprises the control of the energy purchasing power, the energy discharging power, the working state and the working power of the energy conversion equipment, the working state and the power of the energy storage equipment and the judgment of whether a certain load demand is cut out.
The objective function is expressed as:
Figure BDA0003398273740000101
wherein C is the daily external energy purchase cost of the self-consistent energy system, Min is the minimum value, 1 hour is taken as a unit, T is 24, Ce(t) the external electricity purchase cost of the self-consistent energy system at the time t, Cg(t) gas purchase cost from outside of self-consistent energy system at time t, Chy(t) is the hydrogen purchase cost of the self-consistent energy system from the outside at the time t, and is respectively expressed as follows:
Figure BDA0003398273740000102
Figure BDA0003398273740000103
Figure BDA0003398273740000104
wherein alpha is1For outsourcing the price of electricity, alpha2For selling electricity to the grid, α3For outsourcingPrice of natural gas, alpha4In order to be the price of the purchased hydrogen,
Figure BDA0003398273740000111
for the purchased electric power at the time t,
Figure BDA0003398273740000112
selling electric power to the power grid for the time t,
Figure BDA0003398273740000113
the power of the purchased natural gas at the time t,
Figure BDA0003398273740000114
and delta t is the difference between the two planning times before and after the purchased hydrogen power at the time t.
The corresponding constraints comprise external energy transmission power constraints, energy conversion equipment power constraints, energy storage equipment capacity constraints, energy power balance constraints and energy production constraints. The energy storage device power constraint comprises an electric storage device power constraint and a hydrogen storage device power constraint; the energy storage equipment capacity constraint comprises an electric storage equipment capacity constraint and a hydrogen storage equipment capacity constraint; the energy power balance constraint comprises an electric power balance constraint, a cold power balance constraint and a hydrogen power balance constraint; the energy production constraint electric energy comprises heat energy, cold energy and hydrogen energy production constraint.
The external energy transmission power constraint is expressed as:
Figure BDA0003398273740000115
Figure BDA0003398273740000116
Figure BDA0003398273740000117
Figure BDA0003398273740000118
wherein the content of the first and second substances,
Figure BDA0003398273740000119
for the maximum power when purchasing power from the power grid,
Figure BDA00033982737400001110
is the maximum power when selling electricity to the power grid,
Figure BDA00033982737400001111
Maximum power for purchasing hydrogen from the outside,
Figure BDA00033982737400001112
The maximum power for purchasing gas to the outside.
The energy conversion device power constraint is expressed as:
Figure BDA00033982737400001113
Figure BDA00033982737400001114
Figure BDA00033982737400001115
Figure BDA00033982737400001116
Figure BDA00033982737400001117
wherein the content of the first and second substances,
Figure BDA00033982737400001118
for the working power of the natural gas generator at the moment t,
Figure BDA00033982737400001119
the working power of the natural gas hydrogen production machine at the moment t,
Figure BDA00033982737400001120
the working power of the electrolytic cell at the moment t,
Figure BDA00033982737400001121
for the operating power of the hydrogen fuel cell,
Figure BDA00033982737400001122
for the working power of the electric refrigerator at the time t,
Figure BDA0003398273740000121
is the maximum working power of the natural gas generator,
Figure BDA0003398273740000122
is the maximum working power of the natural gas hydrogen production machine,
Figure BDA0003398273740000123
the maximum working power of the electrolytic cell is obtained,
Figure BDA0003398273740000124
is the maximum operating power of the fuel cell,
Figure BDA0003398273740000125
the maximum working power of the electric refrigerator.
The power storage device power constraint is expressed as:
Figure BDA0003398273740000126
Figure BDA0003398273740000127
wherein the content of the first and second substances,
Figure BDA0003398273740000128
for the storage power of the storage apparatus at time t,
Figure BDA0003398273740000129
for the discharge power of the electric storage device at time t,
Figure BDA00033982737400001210
is the maximum electrical storage power of the electrical storage device,
Figure BDA00033982737400001211
is the maximum discharge power of the electric storage device,
Figure BDA00033982737400001212
the value is 0 or 1, and the like,
Figure BDA00033982737400001213
indicating that the power storage equipment stores power at the time t, otherwise
Figure BDA00033982737400001214
Indicating that the electricity storage device is discharged at the t-th moment, otherwise
Figure BDA00033982737400001215
The power storage device cannot store and discharge power simultaneously, i.e., cannot be 1 at the same time, and needs to satisfy the condition
Figure BDA00033982737400001216
The hydrogen storage plant power constraint is expressed as:
Figure BDA00033982737400001217
Figure BDA00033982737400001218
wherein the content of the first and second substances,
Figure BDA00033982737400001219
the hydrogen storage power of the hydrogen storage device at time t,
Figure BDA00033982737400001220
the hydrogen discharge power of the hydrogen storage device at the moment,
Figure BDA00033982737400001221
is the maximum hydrogen storage power of the hydrogen storage device,
Figure BDA00033982737400001222
is the maximum hydrogen discharge power of the hydrogen storage device,
Figure BDA00033982737400001223
the value is 0 or 1, and the like,
Figure BDA00033982737400001224
indicating that the hydrogen storage equipment stores hydrogen at the time t, otherwise
Figure BDA00033982737400001225
Indicating that the hydrogen storage equipment releases hydrogen at the time t, otherwise
Figure BDA00033982737400001226
The hydrogen storage equipment can not store hydrogen and discharge hydrogen at the same time, namely can not be 1 at the same time, and the condition is required to be met
Figure BDA00033982737400001227
The electrical storage device capacity constraint is expressed as:
Figure BDA0003398273740000131
Figure BDA0003398273740000132
wherein the content of the first and second substances,
Figure BDA0003398273740000133
for the stored electric power amount of the electric power storage device at time t,
Figure BDA0003398273740000134
the electric storage capacity, eta, of the electric storage device at time t-1es,chFor the storage efficiency, η, of the storage apparatuses,dchIn order to achieve the discharge efficiency of the electric storage device,
Figure BDA0003398273740000135
to the minimum storage capacity limit of the electric storage device,
Figure BDA0003398273740000136
is limited by the maximum storage capacity of the storage device.
The hydrogen storage plant capacity constraint is expressed as:
Figure BDA0003398273740000137
Figure BDA0003398273740000138
wherein the content of the first and second substances,
Figure BDA0003398273740000139
the amount of hydrogen stored in the hydrogen storage apparatus at time t,
Figure BDA00033982737400001310
the amount of hydrogen stored in the hydrogen storage facility at time t-1, etahys,chFor the hydrogen storage efficiency of the hydrogen storage apparatus, etahys,dchIn order to achieve the hydrogen discharge efficiency of the hydrogen storage apparatus,
Figure BDA00033982737400001311
is a minimum hydrogen storage capacity limit of the hydrogen storage device,
Figure BDA00033982737400001312
is the maximum hydrogen storage capacity limit of the hydrogen storage device.
The electric power balance constraint is expressed as:
Figure BDA00033982737400001313
wherein the content of the first and second substances,
Figure BDA00033982737400001314
the output power of the wind power at the moment t,
Figure BDA00033982737400001315
for the photoelectric output power at the time t,
Figure BDA00033982737400001316
for purchasing electric power from the external power grid at the time t,
Figure BDA00033982737400001317
for the discharge power of the electric storage device at time t,
Figure BDA00033982737400001318
for the electricity generation power of the natural gas generator at the moment t,
Figure BDA00033982737400001319
for the hydrogen fuel cell to generate electric power at time t,
Figure BDA00033982737400001320
the working power of the electrolytic cell at the moment t,
Figure BDA00033982737400001321
for the time t the electrical load demands power,
Figure BDA00033982737400001322
the working common rate of the electric refrigerator at the time t,
Figure BDA00033982737400001323
selling electric power to the power grid at the time t,
Figure BDA00033982737400001324
And charging power for the power storage equipment at the time t.
The cold power balance constraint is expressed as:
Figure BDA00033982737400001325
wherein the content of the first and second substances,
Figure BDA0003398273740000141
the refrigerating power of the electric refrigerator at the time t,
Figure BDA0003398273740000142
the power is demanded for the cooling load at time t.
The hydrogen power balance constraint is expressed as:
Figure BDA0003398273740000143
wherein the content of the first and second substances,
Figure BDA0003398273740000144
for the purpose of purchasing the hydrogen power at the moment t,
Figure BDA0003398273740000145
the hydrogen discharge power of the hydrogen storage equipment at the moment t,
Figure BDA0003398273740000146
the hydrogen production power of the electrolytic cell at the moment t,
Figure BDA0003398273740000147
the hydrogen power of the natural gas hydrogen production machine at the time t,
Figure BDA0003398273740000148
for the fuel cell operating power at time t,
Figure BDA0003398273740000149
for the hydrogen load demand power at time t,
Figure BDA00033982737400001410
the hydrogen storage power of the hydrogen storage equipment at the moment t.
The electric energy, heat energy, cold energy and hydrogen energy production constraints are expressed as:
Figure BDA00033982737400001411
Figure BDA00033982737400001412
Figure BDA00033982737400001413
Figure BDA00033982737400001414
Figure BDA00033982737400001415
Figure BDA00033982737400001416
wherein the content of the first and second substances,
Figure BDA00033982737400001417
for the electricity generating efficiency of the natural gas generator,
Figure BDA00033982737400001418
the hydrogen production efficiency of the natural gas hydrogen production machine,
Figure BDA00033982737400001419
in order to achieve the electrical generation efficiency of the fuel cell,
Figure BDA00033982737400001420
in order to improve the hydrogen production efficiency of the electrolytic cell,
Figure BDA00033982737400001421
the refrigeration power of the electric refrigerator.
Based on the self-consistent energy system control device in any of the above embodiments, in another embodiment of the present invention, a self-consistent energy system control method is provided, as shown in fig. 2, including the following steps:
s100, collecting a generated energy predicted value, a load predicted value and residual stored energy data of a self-consistent energy system at a 24-hour integral point moment in the day; the power generation amount predicted value comprises a wind power generation predicted value and a photovoltaic power generation predicted value, and the load predicted value comprises an electric load predicted value, a cold load predicted value and a hydrogen load predicted value;
s200, transmitting a generated energy predicted value, a load predicted value and residual stored energy data of the self-consistent energy system;
s300, storing the generated energy predicted value, the load predicted value, the residual stored energy data, basic parameters of energy conversion equipment and energy storage equipment and the energy price;
s400, reading a generated energy predicted value, a load predicted value and residual stored energy data, and establishing a planning and scheduling model, wherein the planning and scheduling model comprises a target function and corresponding constraints, the target function is the daily and external energy purchasing cost of a self-consistent energy system, and the corresponding constraints comprise external energy transmission power constraints, energy conversion equipment power constraints, electric storage equipment power constraints, hydrogen storage equipment power constraints, electric storage equipment capacity constraints, hydrogen storage equipment capacity constraints, electric power balance constraints, cold power balance constraints, hydrogen power balance constraints, electric energy, heat energy, cold energy and hydrogen energy production constraints;
s500, solving an optimal solution; the method specifically comprises the following steps:
s510, relaxing the original problem, introducing a relaxation variable to convert all inequality constraints into equal-class constraints
Formula constraint, written in linear programming standard form;
s520, multiplying the coefficient matrix of the objective function by all polar directions of a non-empty feasible domain formed by constraint, wherein an optimal solution exists when the products are negative.
And S530, solving the optimal solution of the external electricity purchasing power or electricity selling power, gas purchasing power, hydrogen purchasing power, working power of the energy conversion equipment and working state and working power of the energy storage equipment of the self-consistent energy system in each time period by using a simplex method and a branch-and-bound method.
S600, controlling the work of the self-consistent energy system, specifically comprising controlling the energy purchasing power and the energy discharging power of the self-consistent energy system, the working state and the working power of the energy conversion equipment, and the working state and the working power of the energy storage equipment according to the optimal solution.
The foregoing detailed description of the preferred embodiments of the invention has been presented. It should be understood that numerous modifications and variations could be devised by those skilled in the art in light of the present teachings without departing from the inventive concepts. Therefore, the technical solutions available to those skilled in the art through logic analysis, reasoning and limited experiments based on the prior art according to the concept of the present invention should be within the scope of protection defined by the claims.

Claims (10)

1. A self-consistent energy system control device, comprising:
the communication module is used for transmitting the generated energy predicted value, the load predicted value and the residual stored energy data of the self-consistent energy system in each time period in the planning period;
the storage module is used for storing a generated energy predicted value, a load predicted value, residual stored energy data, basic parameters of equipment in the self-consistent energy system and an energy price of the self-consistent energy system in a planning period;
the planning module is used for establishing a planning and scheduling model, including a target function and corresponding constraints, and solving an optimal solution;
the output module is used for controlling the self-consistent energy system to work according to the optimal solution;
the electric quantity predicted value, the load predicted value and the residual energy storage data are transmitted to the storage module through the communication module to be stored for the planning module to inquire, a target function and corresponding constraint are established, and the output module is used for controlling the self-consistent energy system to work after an optimal solution is obtained.
2. The self-consistent energy system control device according to claim 1, wherein the self-consistent energy system comprises wind, light renewable energy, and grid electric energy, natural gas, hydrogen, cold energy, and energy conversion equipment, energy storage equipment.
3. The self-consistent energy system control device according to claim 2, wherein the planning module adopts a 24-hour day-ahead planning method, substitutes the predicted power generation amount, the predicted load value, the residual stored energy data, basic parameters of equipment in the self-consistent energy system and an energy price into a 24-hour day-ahead planning and scheduling model, and obtains an optimal solution of the self-consistent energy system to the interaction state and the operating power of an external power grid, the gas purchasing power from the outside, the hydrogen purchasing power, the operating power of energy conversion equipment, the operating state of energy storage equipment and the power within 24 hours day-ahead.
4. The self-consistent energy system control device of claim 2, wherein the energy conversion device comprises a natural gas hydrogen generator, a natural gas generator, an electrolyzer, an electric refrigerator, and a hydrogen fuel cell.
5. The self-consistent energy system control device according to claim 2, wherein the energy storage device comprises an electricity storage device and a hydrogen storage device.
6. The self-consistent energy system control device according to claim 2, wherein the objective function is a daily external energy purchase cost of the self-consistent energy system.
7. The self-consistent energy system control device according to claim 2, wherein the corresponding constraints include an external energy transmission power constraint, an energy conversion device power constraint, an energy storage device capacity constraint, an energy power balance constraint, and an energy production constraint.
8. A self-consistent energy system control method using the self-consistent energy system control device according to any one of claims 2 to 7, comprising the steps of:
s100, collecting a generated energy predicted value, a load predicted value and residual stored energy data of a self-consistent energy system at a 24-hour integral point moment in the day;
s200, transmitting the generated energy predicted value, the load predicted value and the residual energy storage data of the self-consistent energy system;
s300, storing the generated energy predicted value, the load predicted value, the residual stored energy data, basic parameters of the energy conversion equipment and the energy storage equipment and energy price;
s400, reading the generated energy predicted value, the load predicted value and the residual stored energy data, and establishing a planning and scheduling model comprising a target function and corresponding constraints;
s500, solving an optimal solution;
and S600, controlling the self-consistent energy system to work.
9. The self-consistent energy system control method according to claim 8, wherein the step S500 further comprises.
S510, relaxing the original problem, introducing a relaxation variable to convert all inequality constraints into equality constraints, and writing the equality constraints into a linear programming standard form;
s520, multiplying the coefficient matrix of the objective function with all polar directions of a non-empty feasible domain formed by constraint, wherein an optimal solution exists when the products are negative.
And S530, solving the optimal solution of the external electricity purchasing power or electricity selling power, gas purchasing power, hydrogen purchasing power, working power of the energy conversion equipment and working state and working power of the energy storage equipment of the self-consistent energy system in each time period by using a simplex method and a branch-and-bound method.
10. The self-consistent energy system control method according to claim 9, wherein the step S600 specifically includes controlling energy purchasing power and energy discharging power of the self-consistent energy system, the operating state and operating power of the energy conversion device, and the operating state and operating power of the energy storage device according to the optimal solution.
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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115130730A (en) * 2022-05-31 2022-09-30 广东天枢新能源科技有限公司 Energy management method, energy management device, electronic equipment and storage medium
CN115239032A (en) * 2022-09-26 2022-10-25 华北电力大学 Highway service area microgrid planning method and system considering energy self-consistency rate

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2014096866A (en) * 2012-11-07 2014-05-22 Toshiba Corp Energy management system, energy management method, program, and server device
CN105048457A (en) * 2015-08-18 2015-11-11 济南大陆机电股份有限公司 Electric energy management system of intelligent microgrid
CN105676824A (en) * 2016-03-02 2016-06-15 山东大学 Optimized energy dispatching system and method for renewable-energy-source-based combined supply of cooling, heating and power
CN110544935A (en) * 2019-07-29 2019-12-06 西南交通大学 electric-hydrogen multi-energy complementary direct-current micro-grid coordinated scheduling method
CN111416349A (en) * 2020-04-22 2020-07-14 南方电网科学研究院有限责任公司 Collaborative planning method for electrical interconnection comprehensive energy system
CN112072712A (en) * 2020-08-31 2020-12-11 合肥工业大学 Multi-time scale optimization scheduling method and system for comprehensive energy system and storage medium
CN112101756A (en) * 2020-09-02 2020-12-18 合肥工业大学 Data-driven multi-energy complementary energy hub load optimization scheduling method and system
CN113572197A (en) * 2021-08-02 2021-10-29 北京能高自动化技术股份有限公司 Comprehensive self-consistent energy microgrid configuration method and energy regulation and control method based on hydrogen energy storage

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2014096866A (en) * 2012-11-07 2014-05-22 Toshiba Corp Energy management system, energy management method, program, and server device
CN105048457A (en) * 2015-08-18 2015-11-11 济南大陆机电股份有限公司 Electric energy management system of intelligent microgrid
CN105676824A (en) * 2016-03-02 2016-06-15 山东大学 Optimized energy dispatching system and method for renewable-energy-source-based combined supply of cooling, heating and power
CN110544935A (en) * 2019-07-29 2019-12-06 西南交通大学 electric-hydrogen multi-energy complementary direct-current micro-grid coordinated scheduling method
CN111416349A (en) * 2020-04-22 2020-07-14 南方电网科学研究院有限责任公司 Collaborative planning method for electrical interconnection comprehensive energy system
CN112072712A (en) * 2020-08-31 2020-12-11 合肥工业大学 Multi-time scale optimization scheduling method and system for comprehensive energy system and storage medium
CN112101756A (en) * 2020-09-02 2020-12-18 合肥工业大学 Data-driven multi-energy complementary energy hub load optimization scheduling method and system
CN113572197A (en) * 2021-08-02 2021-10-29 北京能高自动化技术股份有限公司 Comprehensive self-consistent energy microgrid configuration method and energy regulation and control method based on hydrogen energy storage

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
周汉良: "线性规划问题最优解的表示", 北京科技大学学报 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115130730A (en) * 2022-05-31 2022-09-30 广东天枢新能源科技有限公司 Energy management method, energy management device, electronic equipment and storage medium
CN115239032A (en) * 2022-09-26 2022-10-25 华北电力大学 Highway service area microgrid planning method and system considering energy self-consistency rate

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