CN114204573B - Self-consistent energy system control device and method - Google Patents
Self-consistent energy system control device and method Download PDFInfo
- Publication number
- CN114204573B CN114204573B CN202111490605.XA CN202111490605A CN114204573B CN 114204573 B CN114204573 B CN 114204573B CN 202111490605 A CN202111490605 A CN 202111490605A CN 114204573 B CN114204573 B CN 114204573B
- Authority
- CN
- China
- Prior art keywords
- energy
- self
- power
- predicted value
- consistent
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 33
- 238000004146 energy storage Methods 0.000 claims abstract description 61
- 238000010248 power generation Methods 0.000 claims abstract description 35
- 238000006243 chemical reaction Methods 0.000 claims abstract description 29
- 229910052739 hydrogen Inorganic materials 0.000 claims description 152
- 239000001257 hydrogen Substances 0.000 claims description 152
- UFHFLCQGNIYNRP-UHFFFAOYSA-N Hydrogen Chemical compound [H][H] UFHFLCQGNIYNRP-UHFFFAOYSA-N 0.000 claims description 149
- 238000003860 storage Methods 0.000 claims description 132
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 claims description 64
- 239000003345 natural gas Substances 0.000 claims description 32
- 238000004519 manufacturing process Methods 0.000 claims description 27
- 239000000446 fuel Substances 0.000 claims description 16
- 230000005540 biological transmission Effects 0.000 claims description 8
- 238000004891 communication Methods 0.000 claims description 6
- 239000007789 gas Substances 0.000 claims description 6
- 150000002431 hydrogen Chemical class 0.000 claims description 3
- 230000003993 interaction Effects 0.000 claims description 3
- 239000011159 matrix material Substances 0.000 claims description 3
- 230000002040 relaxant effect Effects 0.000 claims description 3
- 230000005611 electricity Effects 0.000 description 49
- 239000004973 liquid crystal related substance Substances 0.000 description 40
- 238000012946 outsourcing Methods 0.000 description 5
- 230000007246 mechanism Effects 0.000 description 4
- 229910052799 carbon Inorganic materials 0.000 description 3
- 238000001816 cooling Methods 0.000 description 3
- 238000013461 design Methods 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 238000007599 discharging Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000005057 refrigeration Methods 0.000 description 2
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 230000000295 complement effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 239000003344 environmental pollutant Substances 0.000 description 1
- 238000005530 etching Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 238000013178 mathematical model Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 230000005622 photoelectricity Effects 0.000 description 1
- 231100000719 pollutant Toxicity 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J15/00—Systems for storing electric energy
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J15/00—Systems for storing electric energy
- H02J15/008—Systems for storing electric energy using hydrogen as energy vector
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/003—Load forecast, e.g. methods or systems for forecasting future load demand
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/004—Generation forecast, e.g. methods or systems for forecasting future energy generation
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/008—Circuit arrangements for ac mains or ac distribution networks involving trading of energy or energy transmission rights
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Business, Economics & Management (AREA)
- Economics (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- Health & Medical Sciences (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Marketing (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Game Theory and Decision Science (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Entrepreneurship & Innovation (AREA)
- Development Economics (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention discloses a self-consistent energy system control device, which 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 the following steps of S100, collecting a power generation quantity predicted value, a load predicted value and residual energy storage data of the self-consistent energy system at the whole point moment 24 hours before the day; s200, transmitting a power generation quantity predicted value, a load predicted value and residual energy storage data of the self-consistent energy system; s300, storing a power generation quantity predicted value, a load predicted value, residual energy storage data, basic parameters of energy conversion equipment and energy storage equipment and energy price; s400, reading a power generation quantity predicted value, a load predicted value and residual energy storage data, and establishing a planning and scheduling model comprising an objective function and corresponding constraints; s500, solving an optimal solution; s600, controlling the work of the self-consistent energy system. The invention minimizes the energy purchasing cost and realizes the maximization of the profit.
Description
Technical Field
The invention relates to the technical field of road traffic multi-energy system planning and scheduling, in particular to a self-consistent energy system control device and method.
Background
With the transformation of the energy structure in China, wind power, photoelectricity and other distributed renewable energy sources start to be utilized in a large scale, however, the intermittent nature of clean energy sources such as wind, light and the like causes great uncertainty in power generation. The highway traffic is an innovation of an energy structure, can effectively reduce the use of fossil energy, reduces the emission of pollutants and carbon, and has important significance for economic, green, healthy and sustainable development of China. However, there is also a strong uncertainty in traffic load due to people's lifestyle, geographical environment, etc.
The uncertain supply and demand makes the phenomena of wind abandon and light abandon serious in China, and even affects the use of energy sources at the user side. The method is different from the traditional energy planning, only aims at a single energy system, and the self-consistent energy system promotes the realization of complementary mutual economy and cooperative optimization among energy sources by uniformly planning multiple energy sources such as electricity, heat, gas and the like in a certain area, and particularly, the self-consistent energy system containing multiple energy storage devices can effectively reduce the phenomena of wind abandon and light abandon, promote the solution of unbalanced supply and demand, and effectively improve the requirements on the aspects of energy utilization efficiency, environmental protection, economic benefit and the like.
The conventional comprehensive energy system is designed mostly without considering the road traffic field, and does not contain multiple types of energy storage devices, wind, light and other new energy sources. Patent CN105183991A, planning and designing method of regional comprehensive energy system, patent CN105939029A, and planning scheme obtaining method and system of comprehensive energy system do not consider large-scale utilization of clean energy such as wind, light and the like. The design of the self-consistent energy system facing the road traffic field is an important way for solving the contradiction between energy supply and demand and realizing green, low-carbon, high-efficiency and sustainable performance, and is an important grip for realizing the 'double-carbon' strategic goal in China.
Accordingly, those skilled in the art have been directed to developing a self-consistent energy system control apparatus and method.
Disclosure of Invention
In view of the above-mentioned drawbacks of the prior art, the technical problem to be solved by the present invention is how to minimize the external energy purchasing cost of the highway comprehensive energy station based on various energy storage devices, and to realize maximization of profit.
The self-consistent energy system refers to an energy production and marketing integrated system which organically coordinates links such as 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 an electric automobile, refrigerating a cold chain automobile, producing hydrogen by an electrolytic cell, and the residual electricity can be stored by using 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 flexible utilization of the hydrogen energy is realized by utilizing the hydrogen storage device. In the whole process, the energy supply quantity of the outside is assumed to be sufficient, namely, when the wind, the light generating capacity and the energy storage residual quantity are insufficient to maintain the supply and demand balance of the system, the energy can be purchased from the outside in time.
The inventor designs a self-consistent energy system control device, receives the data of a source (including a wind driven generator, a photovoltaic power generation plate and external energy purchasing), a load (namely electric car charging, cold chain car charging and hydrogen car charging) and a storage (namely energy storage equipment, including electricity storage equipment and hydrogen storage equipment) in the running process of the self-consistent energy system, reasonably plans the energy utilization in the system, and optimizes the 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 power generation quantity predicted value, the load predicted value and the residual energy storage data of each time period in the planning period of the self-consistent energy system;
the storage module is used for storing the predicted value of the generated energy, the predicted value of the load, the residual energy storage data, the basic parameters of equipment in the self-consistent energy system and the energy price in the planning period of the self-consistent energy system;
the planning module is used for establishing a planning and scheduling model, comprising an objective function and corresponding constraint, and solving an optimal solution;
the output module is used for controlling the work of the self-consistent energy system 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, the storage module is used for inquiring by the planning module, the objective function and the 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 equipment, and energy storage equipment.
Optionally, in the self-consistent energy system control device in the foregoing embodiment, the planning module adopts a 24-hour day-ahead planning method, substitutes the predicted value of the generated energy, the predicted value of the load, the residual energy storage data, the basic parameters of the equipment in the self-consistent energy system and the energy price into the constructed 24-hour day-ahead planning and scheduling model, and obtains the optimal solution of the interaction state and the operation power of the self-consistent energy system with the external power grid, the gas purchase power and the hydrogen purchase power from the outside, the operation power of the energy conversion equipment and the working state and the power of the energy storage equipment in 24 hours day ahead.
Alternatively, in the self-consistent energy system control apparatus in the above embodiment, the energy conversion device includes a natural gas hydrogen generator, a natural gas generator, an electrolytic tank, an electric refrigerator, and a hydrogen fuel cell.
Optionally, in the self-consistent energy system control apparatus in any one of the embodiments above, the energy storage device includes an electricity storage device and a hydrogen storage device.
Optionally, in the self-consistent energy system control device of any of the embodiments above, 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 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 embodiments described above, the power generation amount predicted value includes a wind power generation amount predicted value, a photovoltaic power generation amount predicted value.
Optionally, in the self-consistent energy system control device in any one of the embodiments described above, the load predicted value includes an electric load predicted value, a hydrogen load predicted value, a cold load predicted value.
Optionally, in the self-consistent energy system control device in any one of the embodiments, the objective function is a daily external purchase cost of the self-consistent energy system.
Further, in the self-consistent energy system control apparatus in the above embodiment, the objective function is expressed as:
wherein C is the daily external energy purchasing cost of the self-consistent energy system, min is the minimum value, T=24 and C is 1 hour e (t) is the electricity purchasing cost of the self-consistent energy system from the outside at the moment of t, C g (t) is the air purchasing cost of the self-consistent energy system from the outside at the moment of t, C hy And (t) the cost of purchasing hydrogen from the outside of the self-consistent energy system at the moment t is respectively expressed as follows:
wherein alpha is 1 To outsource the price of electricity, alpha 2 To sell electricity to the grid, alpha 3 To outsource natural gas price, alpha 4 In order to outsource the price of hydrogen,
outsourcing electric power for time t, +.>
Selling electric power to the power grid at time t, < >>
The natural gas power is purchased at the time of t>
For outsourcing hydrogen power at time t, deltat is the time of planning two times before and afterAnd (5) etching difference.
Optionally, in the self-consistent energy system control apparatus in any one of the embodiments above, 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, a hydrogen storage device power constraint; the energy storage device capacity constraints include an electrical storage device capacity constraint, a hydrogen storage device 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 device in any one of the embodiments above, the external energy transmission power constraint is expressed as:
wherein, the liquid crystal display device comprises a liquid crystal display device,
for maximum power when purchasing power from the grid, < +.>
Maximum power when selling electricity to the power grid,
To purchase the maximum power of hydrogen from the outside, < >>
The maximum power is obtained by purchasing air from the outside.
Optionally, in the self-consistent energy system control apparatus in any one of the embodiments above, the energy conversion device power constraint is expressed as:
wherein, the liquid crystal display device comprises a liquid crystal display device,
for the working power of the natural gas generator at time t, +.>
The working power of the natural gas hydrogen production machine at the moment t,
for t time electricitySlot power of operation, < >>
For hydrogen fuel cell operating power,/->
For the operating power of the electric refrigerator at time t,
for the maximum working power of the natural gas generator, +.>
Maximum working power of the hydrogen production machine for natural gas, < >>
For maximum operating power of the electrolyzer, +.>
For maximum operating power of the fuel cell, +.>
The maximum working power of the electric refrigerator is obtained.
Optionally, in the self-consistent energy system control apparatus in any one of the embodiments above, the power constraint of the electric storage device is expressed as:
wherein, the liquid crystal display device comprises a liquid crystal display device,
for the power stored in the power storage device at time t, < >>
The discharge power of the electricity storage equipment at the time t,
for maximum power storage of the power storage device, < >>
For maximum discharge power of the electricity storage device, < >>
The value is 0 or 1->
Indicating that the electricity storage device stores electricity at time t, otherwise +.>
Indicating that the electricity storage device is discharging at time t, otherwise +.>
The electric storage equipment cannot simultaneously store electricity and discharge electricity, namely cannot be 1 at the same time, and needs to meet the condition +.>
Optionally, in the self-consistent energy system control apparatus in any one of the embodiments above, the hydrogen storage device power constraint is expressed as:
wherein, the liquid crystal display device comprises a liquid crystal display device,
for the hydrogen storage power of the hydrogen storage device at time t, < >>
The hydrogen release power of the hydrogen storage device at any time,
for the maximum hydrogen storage power of the hydrogen storage device, < >>
For maximum hydrogen power of the hydrogen storage device,
the value is 0 or 1->
Indicating that the hydrogen storage device stores hydrogen at the time t, otherwise
Indicating that the hydrogen storage device is releasing hydrogen at time t, otherwise +.>
The hydrogen storage device cannot store and release hydrogen simultaneously, i.e. cannot be 1 at the same time, and needs to satisfy the condition +.>
Optionally, in the self-consistent energy system control apparatus in any one of the embodiments above, the storage device capacity constraint is expressed as:
wherein, the liquid crystal display device comprises a liquid crystal display device,
for the electricity storage capacity of the electricity storage equipment at the moment t, < >>
For the electricity storage quantity eta of the electricity storage equipment at the moment t-1 es，ch For the electricity storage efficiency eta of the electricity storage equipment es，dch For the discharge efficiency of the electricity storage device, +.>
For the minimum storage capacity limit of the storage device, < >>
Is the maximum storage capacity limit of the electricity storage device.
Optionally, in the self-consistent energy system control apparatus in any one of the embodiments above, the hydrogen storage device capacity constraint is expressed as:
wherein, the liquid crystal display device comprises a liquid crystal display device,
for the hydrogen storage quantity of the hydrogen storage device at time t, < >>
Is the hydrogen storage quantity eta of the hydrogen storage equipment at the time t-1 hys，ch Is the hydrogen storage efficiency eta of the hydrogen storage equipment hys，dch For the hydrogen release efficiency of the hydrogen storage device, +.>
For the minimum hydrogen storage capacity limit of the hydrogen storage device,/->
Is the maximum hydrogen storage capacity limit of the hydrogen storage device.
Optionally, in the self-consistent energy system control device in any one of the embodiments above, the electric power balance constraint is expressed as:
wherein, the liquid crystal display device comprises a liquid crystal display device,
for the wind power output at time t, < >>
For the photoelectric output power at time t, +.>
For t time, purchasing electric power from external power supply network, < >>
For the discharge power of the electricity storage device at time t, +.>
For the power generated by the natural gas generator at time t, < >>
For the power generated by the hydrogen fuel cell at time t, < >>
For the operating power of the electrolyzer at time t +.>
The power is demanded for the electrical load at time t,
for the working rate of the electric refrigerator at the moment t, < >>
Selling electric power to the power grid at time t, < >>
And charging power for the electricity storage equipment at the moment t.
Optionally, in the self-consistent energy system control device in any one of the embodiments above, the cold power balance constraint is expressed as:
wherein, the liquid crystal display device comprises a liquid crystal display device,
refrigeration power for an electric refrigerator at time t +.>
Power is required for the cold load at time t.
Optionally, in the self-consistent energy system control device in any one of the embodiments above, the hydrogen power balance constraint is expressed as:
wherein, the liquid crystal display device comprises a liquid crystal display device,
for the time t hydrogen power is purchased,/->
For the hydrogen power of the hydrogen storage device at time t, < >>
For the hydrogen production power of the electrolyzer at time t +.>
Hydrogen power for hydrogen production mechanism of natural gas at time t, < >>
The fuel cell operating power at time t,
for the hydrogen load demand power at time t, +.>
And (5) the hydrogen storage power of the hydrogen storage device at the time t.
Optionally, in the self-consistent energy system control device in any of the above embodiments, the electric energy, thermal energy, cold energy, and hydrogen energy production constraints are expressed as:
wherein, the liquid crystal display device comprises a liquid crystal display device,
for the power generation efficiency of natural gas generator, +.>
Hydrogen production efficiency for natural gas hydrogen production mechanism, +.>
Generating efficiency for fuel cell, < >>
Hydrogen production efficiency for electrolyzer->
Cooling power for an electric refrigerator.
Optionally, in the self-consistent energy system control device in any embodiment, the operation of the device includes controlling the purchase power, the release power, the working state and the working power of the energy conversion device, the working state and the power of the energy storage device, and whether a certain load requirement is cut out.
Based on the self-consistent energy system control device of any one of the above embodiments, in another embodiment of the present invention, a self-consistent energy system control method is provided, including the following steps:
s100, acquiring a power generation quantity predicted value, a load predicted value and residual energy storage data of a self-consistent energy system at a whole point moment 24 hours before the day;
s200, transmitting a power generation quantity predicted value, a load predicted value and residual energy storage data of the self-consistent energy system;
s300, storing a power generation quantity predicted value, a load predicted value, residual energy storage data, basic parameters of energy conversion equipment and energy storage equipment and energy price;
s400, reading a power generation quantity predicted value, a load predicted value and residual energy storage data, and establishing a planning and scheduling model comprising an objective function and corresponding constraints;
s500, solving an optimal solution;
s600, controlling the work of the self-consistent energy system.
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, a photovoltaic power generation predicted value.
Alternatively, in the self-consistent energy system control method in the above embodiment, the load predicted value in step S100 includes an electric load predicted value, a cold load predicted value, and a hydrogen load predicted value.
Optionally, in the self-consistent energy system control method in the above embodiment, the objective function in step S400 is a 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 constraint in step S400 includes an external energy transmission power constraint, an energy conversion device power constraint, an electric storage device power constraint, a hydrogen storage device power constraint, an electric storage device capacity constraint, a hydrogen storage device capacity constraint, an electric power balance constraint, a cold power balance constraint, a hydrogen power balance constraint, an electric energy, a thermal energy, a cold energy, and a hydrogen energy production constraint.
Optionally, in the self-consistent energy system control method in any one of the foregoing 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 with all pole directions of a non-empty feasible region formed by constraint, and if the products are negative, the optimal solution exists.
And S530, obtaining optimal solutions of the power purchase or power selling, the gas purchase power, the hydrogen purchase power, the working power of the energy conversion equipment, the working state of the energy storage equipment and the working power of the self-consistent energy system from the outside in each time period by utilizing a simplex method and a branch and bound method.
Optionally, in the self-consistent energy system control method in any one of the foregoing embodiments, step S600 specifically includes controlling the energy purchasing power and the energy releasing power of the system according to the optimal solution, and the working state and the working power of the energy conversion device and the working state and the working power of the energy storage device.
The invention provides a self-consistent energy system control device and a self-consistent energy system control method considering various energy storage devices, which are oriented to the field of highway traffic, a self-consistent energy system energy planning mathematical model is constructed, the external energy purchasing cost of a highway comprehensive energy station is minimized on the premise of ensuring the normal operation of the system, and the maximization of profit is realized.
The conception, specific structure, and technical effects of the present invention will be further described with reference to the accompanying drawings to fully understand the objects, features, and effects of the present invention.
Drawings
FIG. 1 is a schematic diagram illustrating a self-consistent energy system control arrangement in accordance with an exemplary embodiment;
fig. 2 is a flow chart illustrating a self-consistent energy system control method in accordance with an exemplary embodiment.
Detailed Description
The following description of the preferred embodiments of the present invention refers to the accompanying drawings, which make the technical contents thereof more clear and easy to understand. The present invention may be embodied in many different forms of embodiments and the scope of the present invention is not limited to only the embodiments described herein.
In the drawings, like structural elements are referred to by like reference numerals and components having similar structure or function are referred to by like reference numerals. The dimensions and thickness of each component shown in the drawings are arbitrarily shown, and the present invention is not limited to the dimensions and thickness of each component. The thickness of the components is schematically and appropriately exaggerated in some places in the drawings for clarity of illustration.
The inventor designs a self-consistent energy system control device, and the self-consistent energy system comprises wind and light renewable energy sources, 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 power generation quantity predicted value, the load predicted value and the residual energy storage data of each time period in the planning period of the self-consistent energy system;
the storage module is used for storing the predicted value of the generated energy, the predicted value of the load, the residual energy storage data, the basic parameters of equipment in the self-consistent energy system and the energy price in the planning period of the self-consistent energy system;
the planning module is used for establishing a planning and scheduling model, comprising an objective function and corresponding constraint, and solving an optimal solution; substituting a predicted value of generating capacity, a predicted value of load, residual energy storage data, basic parameters of equipment in a self-consistent energy system and energy price into a constructed 24-hour planning and scheduling model before the day to obtain interaction state and operation power of the self-consistent energy system and an external power grid within 24 hours before the day, gas-purchasing power and hydrogen-purchasing power from the outside, and the operation power of energy conversion equipment, wherein the energy conversion equipment comprises a natural gas hydrogen generator, a natural gas generator, an electrolytic tank, an electric refrigerator and a hydrogen fuel cell, and the energy storage equipment comprises an electric storage equipment and a hydrogen storage equipment; the load comprises 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 quantity predicted value comprises a wind power generation quantity predicted value and a photovoltaic power generation quantity predicted value; the load predicted values include an electric load predicted value, a hydrogen load predicted value, and a cold load predicted value; the objective function is the daily external energy purchasing cost of the self-consistent energy system;
the output module is used for controlling the work of the self-consistent energy system 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, the storage module is used for inquiring by the planning module, the objective function and the 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 self-consistent energy system control device comprises the functions of controlling the energy purchasing power, the energy releasing power, the working state and the working power of energy conversion equipment, the working state and the power of energy storage equipment and whether certain load demands are cut off or not.
The objective function is expressed as:
wherein C is the daily external energy purchasing cost of the self-consistent energy system, min is the minimum value, T=24 and C is 1 hour e (t) is the electricity purchasing cost of the self-consistent energy system from the outside at the moment of t, C g (t) is the air purchasing cost of the self-consistent energy system from the outside at the moment of t, C hy And (t) the cost of purchasing hydrogen from the outside of the self-consistent energy system at the moment t is respectively expressed as follows:
wherein alpha is 1 To outsource the price of electricity, alpha 2 To sell electricity to the grid, alpha 3 To outsource natural gas price, alpha 4 In order to outsource the price of hydrogen,
outsourcing electric power for time t, +.>
Selling electric power to the power grid at time t, < >>
For outsourcing natural gas power at time t +.>
And (5) outsourcing hydrogen power at the time t, wherein deltat is the difference between the planning time and the planning time.
The corresponding constraints include external energy transmission power constraints, energy conversion device power constraints, energy storage device capacity constraints, energy power balance constraints, and energy production constraints. The energy storage device power constraints include an electrical storage device power constraint, a hydrogen storage device power constraint; the energy storage device capacity constraints include an electrical storage device capacity constraint, a hydrogen storage device 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:
wherein, the liquid crystal display device comprises a liquid crystal display device,
for maximum power when purchasing power from the grid, < +.>
Maximum power when selling electricity to the power grid,
To purchase the maximum power of hydrogen from the outside, < >>
The maximum power is obtained by purchasing air from the outside.
The energy conversion device power constraint is expressed as:
wherein, the liquid crystal display device comprises a liquid crystal display device,
for the working power of the natural gas generator at time t, +.>
The working power of the natural gas hydrogen production machine at the moment t,
for the operating power of the electrolyzer at time t +.>
For hydrogen fuel cell operating power,/->
Working power of electric refrigerator at t moment，
For the maximum working power of the natural gas generator, +.>
Maximum working power of the hydrogen production machine for natural gas, < >>
For maximum operating power of the electrolyzer, +.>
For maximum operating power of the fuel cell, +.>
The maximum working power of the electric refrigerator is obtained.
The power constraint of the electrical storage device is expressed as:
wherein, the liquid crystal display device comprises a liquid crystal display device,
for the power stored in the power storage device at time t, < >>
The discharge power of the electricity storage equipment at the time t,
for maximum power storage of the power storage device, < >>
Is the most of the electricity storage equipmentHigh discharge power>
The value is 0 or 1->
Indicating that the electricity storage device stores electricity at time t, otherwise +.>
Indicating that the electricity storage device is discharging at time t, otherwise +.>
The electric storage equipment cannot simultaneously store electricity and discharge electricity, namely cannot be 1 at the same time, and needs to meet the condition +.>
The hydrogen storage device power constraint is expressed as:
wherein, the liquid crystal display device comprises a liquid crystal display device,
for the hydrogen storage power of the hydrogen storage device at time t, < >>
The hydrogen release power of the hydrogen storage device at any time,
for the maximum hydrogen storage power of the hydrogen storage device, < >>
For maximum hydrogen power of the hydrogen storage device,
the value is 0 or 1->
Indicating that the hydrogen storage device stores hydrogen at the time t, otherwise
Indicating that the hydrogen storage device is releasing hydrogen at time t, otherwise +.>
The hydrogen storage device cannot store and release hydrogen simultaneously, i.e. cannot be 1 at the same time, and needs to satisfy the condition +.>
The storage device capacity constraint is expressed as:
wherein, the liquid crystal display device comprises a liquid crystal display device,
for the electricity storage capacity of the electricity storage equipment at the moment t, < >>
For the electricity storage quantity eta of the electricity storage equipment at the moment t-1 es，ch For the electricity storage efficiency eta of the electricity storage equipment es，dch For the discharge efficiency of the electricity storage device, +.>
Is the most of the electricity storage equipmentSmall storage capacity limit, < >>
Is the maximum storage capacity limit of the electricity storage device.
The hydrogen storage device capacity constraint is expressed as:
wherein, the liquid crystal display device comprises a liquid crystal display device,
for the hydrogen storage quantity of the hydrogen storage device at time t, < >>
Is the hydrogen storage quantity eta of the hydrogen storage equipment at the time t-1 hys，ch Is the hydrogen storage efficiency eta of the hydrogen storage equipment hys，dch For the hydrogen release efficiency of the hydrogen storage device, +.>
For the minimum hydrogen storage capacity limit of the hydrogen storage device,/->
Is the maximum hydrogen storage capacity limit of the hydrogen storage device.
The electric power balance constraint is expressed as:
wherein, the liquid crystal display device comprises a liquid crystal display device,
for the wind power output at time t, < >>
For the photoelectric output power at time t, +.>
For t time, purchasing electric power from external power supply network, < >>
For the discharge power of the electricity storage device at time t, +.>
For the power generated by the natural gas generator at time t, < >>
For the power generated by the hydrogen fuel cell at time t, < >>
For the operating power of the electrolyzer at time t +.>
The power is demanded for the electrical load at time t,
for the working rate of the electric refrigerator at the moment t, < >>
Selling electric power to the power grid at time t, < >>
And charging power for the electricity storage equipment at the moment t. />
The cold power balance constraint is expressed as:
wherein, the liquid crystal display device comprises a liquid crystal display device,
refrigeration power for an electric refrigerator at time t +.>
Power is required for the cold load at time t.
The hydrogen power balance constraint is expressed as:
wherein, the liquid crystal display device comprises a liquid crystal display device,
for the time t hydrogen power is purchased,/->
For the hydrogen power of the hydrogen storage device at time t, < >>
For the hydrogen production power of the electrolyzer at time t +.>
Hydrogen power for hydrogen production mechanism of natural gas at time t, < >>
The fuel cell operating power at time t,
for the hydrogen load demand power at time t, +.>
And (5) the hydrogen storage power of the hydrogen storage device at the time t.
The production constraints of electric energy, heat energy, cold energy and hydrogen energy are expressed as:
wherein, the liquid crystal display device comprises a liquid crystal display device,
for the power generation efficiency of natural gas generator, +.>
Hydrogen production efficiency for natural gas hydrogen production mechanism, +.>
Generating efficiency for fuel cell, < >>
Hydrogen production efficiency for electrolyzer->
Cooling power for an electric refrigerator.
Based on the self-consistent energy system control device of any one 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, acquiring a power generation quantity predicted value, a load predicted value and residual energy storage data of a self-consistent energy system at a whole point moment 24 hours before the day; the power generation 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 power generation quantity predicted value, a load predicted value and residual energy storage data of the self-consistent energy system;
s300, storing a power generation quantity predicted value, a load predicted value, residual energy storage data, basic parameters of energy conversion equipment and energy storage equipment and energy price;
s400, reading a power generation quantity predicted value, a load predicted value and residual energy storage data, and establishing a planning and scheduling model, wherein the planning and scheduling model comprises an objective function and corresponding constraints, the objective function is the daily external energy purchasing cost of a self-consistent energy system, 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, and introducing a relaxation variable to convert all inequality constraints into equality
Constraint, writing into a linear programming standard form;
s520, multiplying the coefficient matrix of the objective function with all pole directions of a non-empty feasible region formed by constraint, and if the products are negative, the optimal solution exists.
And S530, obtaining optimal solutions of the power purchase or power selling, the gas purchase power, the hydrogen purchase power, the working power of the energy conversion equipment, the working state of the energy storage equipment and the working power of the self-consistent energy system from the outside in each time period by utilizing a simplex method and a branch and bound method.
S600, controlling the work of the self-consistent energy system, and specifically controlling the energy purchasing power and the energy releasing power of the self-consistent energy system according to the optimal solution, wherein 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 are controlled.
The foregoing describes in detail preferred embodiments of the present invention. It should be understood that numerous modifications and variations can be made in accordance with the concepts of the invention by one of ordinary skill in the art without undue burden. Therefore, all technical solutions which can be obtained by logic analysis, reasoning or limited experiments based on the prior art by the person skilled in the art according to the inventive concept shall be within the scope of protection defined by the claims.
Claims (9)
1. The self-consistent energy system control method is characterized by comprising the following steps:
s100, acquiring a power generation quantity predicted value, a load predicted value and residual energy storage data of a self-consistent energy system at a whole point moment 24 hours before the day;
s200, transmitting the power generation quantity predicted value, the load predicted value and the residual energy storage data of the self-consistent energy system;
s300, storing the power generation quantity predicted value, the load predicted value, the residual energy storage data, basic parameters of energy conversion equipment and energy storage equipment and energy price;
s400, reading the power generation quantity predicted value, the load predicted value and the residual energy storage data, and establishing a planning and scheduling model comprising an objective function and corresponding constraint;
s500, obtaining an optimal solution, which comprises the following steps:
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 pole directions of a non-empty feasible region formed by constraint, and if the products are negative, obtaining an optimal solution;
s530, obtaining optimal solutions of power purchase or power selling, gas purchase power, hydrogen purchase power, working power of energy conversion equipment, working state of energy storage equipment and working power of the self-consistent energy system from the outside in each time period by utilizing a simplex method and a branch and bound method;
and S600, controlling the work of the self-consistent energy system.
2. The method for controlling a self-consistent energy system according to claim 1, wherein said step S600 specifically includes controlling the purchase power and the discharge power of the self-consistent energy system according to the optimal solution, and the operating state and the operating power of the energy conversion device and the operating state and the operating power of the energy storage device.
3. A self-consistent energy system control device based on the self-consistent energy system control method according to any one of claims 1 or 2, comprising:
the communication module is used for transmitting the power generation quantity predicted value, the load predicted value and the residual energy storage data of each time period in the planning period of the self-consistent energy system;
the storage module is used for storing the predicted value of the generated energy, the predicted value of the load, the residual energy storage data, the basic parameters of equipment in the self-consistent energy system and the energy price in the planning period of the self-consistent energy system;
the planning module is used for establishing a planning and scheduling model, comprising an objective function and corresponding constraint, and solving an optimal solution;
the output module is used for controlling the work of the self-consistent energy system according to the optimal solution;
and 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, so that the planning module can inquire, establish an objective function and corresponding constraint, and control the work of the self-consistent energy system through the output module after the optimal solution is obtained.
4. A self-consistent energy system control as claimed in claim 3, wherein the self-consistent energy system comprises wind, light renewable energy and grid electrical energy, natural gas, hydrogen, cold energy and energy conversion devices, energy storage devices.
5. The self-consistent energy system control device of claim 4, wherein the planning module adopts a 24-hour day-ahead planning method, substitutes the predicted value of the generated energy, the predicted value of the load, the residual energy storage data, basic parameters of equipment in the self-consistent energy system and the energy price into a constructed 24-hour day-ahead planning and scheduling model, and obtains the interaction state and the operation power of the self-consistent energy system and an external power grid in 24 hours day ahead, the gas purchase power and the hydrogen purchase power from the outside, the operation power of energy conversion equipment and the working state and the optimal solution of the power of the energy storage equipment.
6. A self-consistent energy system control device as claimed in claim 3, wherein said energy conversion apparatus comprises a natural gas hydrogen generator, a natural gas generator, an electrolyzer, an electric refrigerator and a hydrogen fuel cell.
7. A self-consistent energy system control apparatus as claimed in claim 3, wherein said energy storage device comprises an electrical storage device and a hydrogen storage device.
8. A self-consistent energy system control device as claimed in claim 3, wherein said objective function is the daily external purchase cost of said self-consistent energy system.
9. A self-consistent energy system control as claimed in claim 3, wherein said respective constraints include external energy transmission power constraints, energy conversion device power constraints, energy storage device capacity constraints, energy power balance constraints, energy production constraints.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111490605.XA CN114204573B (en) | 2021-12-08 | 2021-12-08 | Self-consistent energy system control device and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111490605.XA CN114204573B (en) | 2021-12-08 | 2021-12-08 | Self-consistent energy system control device and method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114204573A CN114204573A (en) | 2022-03-18 |
| CN114204573B true CN114204573B (en) | 2023-06-27 |
Family
ID=80651257
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111490605.XA Active CN114204573B (en) | 2021-12-08 | 2021-12-08 | Self-consistent energy system control device and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114204573B (en) |
Families Citing this family (2)
| 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 |
| CN115239032B (en) * | 2022-09-26 | 2023-02-10 | 华北电力大学 | Highway service area microgrid planning method and system considering energy self-consistency rate |
Family Cites Families (8)
| 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 |
| CN105048457B (en) * | 2015-08-18 | 2018-10-09 | 济南大陆机电股份有限公司 | A kind of intelligent micro-grid electric energy management system |
| CN105676824B (en) * | 2016-03-02 | 2018-05-01 | 山东大学 | A kind of energy-optimised scheduling System and method for of regenerative resource supply of cooling, heating and electrical powers |
| CN110544935B (en) * | 2019-07-29 | 2023-02-21 | 西南交通大学 | Electric-hydrogen multi-energy complementary direct-current micro-grid coordinated scheduling method |
| CN111416349B (en) * | 2020-04-22 | 2021-12-03 | 南方电网科学研究院有限责任公司 | Collaborative planning method for electrical interconnection comprehensive energy system |
| CN112072712B (en) * | 2020-08-31 | 2022-07-12 | 合肥工业大学 | Multi-time scale optimization scheduling method and system for comprehensive energy system and storage medium |
| CN112101756B (en) * | 2020-09-02 | 2022-09-30 | 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 |
-
2021
- 2021-12-08 CN CN202111490605.XA patent/CN114204573B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN114204573A (en) | 2022-03-18 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108154309B (en) | Energy internet economic dispatching method considering multi-load dynamic response of cold, heat and electricity | |
| CN102694391B (en) | Day-ahead optimal scheduling method for wind-solar storage integrated power generation system | |
| CN109523092B (en) | Multi-energy complementary combined cooling, heating and power system and cooperative scheduling method thereof | |
| CN114204573B (en) | Self-consistent energy system control device and method | |
| US20130073098A1 (en) | System energy efficiency controller, energy efficiency gain device and smart energy service system used for energy utilization | |
| Mei et al. | Stochastic optimization of multi-energy system operation considering hydrogen-based vehicle applications | |
| CN104362681B (en) | A kind of isolated island micro-capacitance sensor capacity configuration optimizing method considering randomness | |
| CN104537443A (en) | Co-generation type micro-grid economy coordination and optimization dispatching method | |
| CN107528341A (en) | A kind of method that bulk power grid energy storage for high wind-powered electricity generation permeability is dispatched | |
| CN108521132A (en) | The Multiple Time Scales optimal control method that support mains frequency of providing multiple forms of energy to complement each other is adjusted | |
| CN114336745A (en) | Multi-energy complementary intelligent energy system based on source network charge storage and control method | |
| Saha | Adaptive model-based receding horizon control of interconnected renewable-based power micro-grids for effective control and optimal power exchanges | |
| CN112202201A (en) | Joint microgrid operation strategy considering demand response and electric automobile | |
| Nian et al. | A method for optimal sizing of stand-alone hybrid PV/wind/battery system | |
| CN117013522A (en) | Comprehensive energy system scheduling optimization method considering distributed power supply and gas-electricity cooperation | |
| Adebanji et al. | Optimal sizing of an off-grid small hydro-photovoltaic-diesel generator hybrid power system for a distant village | |
| CN112736950B (en) | Public energy storage power station configuration method and system for micro-grid group | |
| CN110929908B (en) | Collaborative optimization method and system for capacity allocation and economic scheduling of multi-microgrid system | |
| Dagdougui et al. | Optimal control of a regional power microgrid network driven by wind and solar energy | |
| Xing et al. | Multi-energy simulation and optimal scheduling strategy based on digital twin | |
| Al Wahedi et al. | Development and Thermodynamic Analysis of a 100% Renewable Energy Driven Electrical Vehicle Charging Station with Sustainable Energy Storage | |
| CN114362152B (en) | Multi-time scale scheduling method for comprehensive energy system | |
| Yuan et al. | Energy Efficiency Optimization Management for Industrial Enterprises with Electric Vehicle Charging Stations | |
| Wang et al. | An example of ai based economic optimization in a smart energy system | |
| Ye et al. | Multi-objective optimal configuration of CCHP system containing hybrid electric-hydrogen energy storage system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |