CN116739308A - Multi-main-body distributed collaborative planning method for wind-hydrogen storage system - Google Patents
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Abstract
The invention relates to a multi-main-body distributed collaborative planning method of a wind-hydrogen storage system, which belongs to the technical field of comprehensive energy planning, and comprises the steps of firstly, establishing a centralized collaborative planning model of the wind-hydrogen storage system; then, decomposing the original centralized collaborative planning model by using an alternate direction multiplier method principle to obtain a planning model of each investment operation main body of wind power, electric hydrogen production and electric energy storage; on the basis, a wind power, electric hydrogen production and electric energy storage multi-main body distributed collaborative planning method is provided; the multi-subject distributed collaborative planning method overcomes the defect that the benefits of the multiple subjects are difficult to consider in the traditional collaborative planning method, realizes the distributed collaborative planning of the multiple subjects, and protects the privacy information safety of each subject.
Description
Technical Field
The invention belongs to the technical field of comprehensive energy planning, and particularly relates to a multi-main-body distributed collaborative planning method for a wind-hydrogen storage system.
Background
In view of the fact that the new energy has larger random uncertainty, the random fluctuation influence of the new energy can be effectively reduced by configuring the coordinated operation of the energy storage and the new energy power generation system. However, the investment and operation costs of new energy power generation, energy storage and electric hydrogen production systems are high, how to explore a more efficient and economical collaborative planning method and operation mode is of great significance for realizing high quality and rapid development of renewable energy hydrogen production technology.
At present, related researches aiming at the collaborative planning of a comprehensive energy system exist, such as a source-load-storage collaborative planning method of a comprehensive energy system in China patent No. 113780681B, a source-load-storage collaborative planning method of the comprehensive energy system is disclosed, clean energy absorption capacity and comprehensive energy efficiency maximization targets of power grid dispatching are used as upper optimization targets, targets such as customer and market main benefit maximization are used as lower optimization targets, and source-load-storage double-layer multi-target optimization of the comprehensive energy system is realized; the Chinese patent CN115395521B discloses a renewable energy source, energy storage and charging pile collaborative planning method and system, wherein the renewable energy source, energy storage and charging pile collaborative planning method and system respectively take the minimum expected total cost of power distribution network planning as a target in each dividing stage, and a power distribution network collaborative planning model for taking electric vehicle charging stations and renewable energy source power generation and energy storage is constructed, so that the optimal planning of each stage is realized; chinese patent application CN115700955A 'a method and a system for planning the capacity of hydrogen storage by combining wind and light complementary electrolysis', discloses a method and a system for planning the capacity of hydrogen storage by combining wind and light complementary electrolysis, and realizes the capacity planning of a hydrogen storage system.
However, the existing method is mostly suitable for a single investment planning main body scene, and is difficult to solve the problems of how to cooperatively plan, how to coordinate operation, how to protect privacy safety of multiple main bodies and the like faced by multiple investment planning main bodies of a wind-driven hydrogen storage system; therefore, how to realize the collaborative planning operation of multiple main bodies of the wind-hydrogen storage system and how to protect the privacy information safety of the multiple main bodies is one of the key problems to be solved in the comprehensive energy collaborative planning field.
Disclosure of Invention
In order to solve the technical problems, the invention provides a multi-main-body distributed collaborative planning method of a wind-hydrogen storage system, which comprises the steps of firstly, establishing a centralized collaborative planning model of the wind-hydrogen storage system; then, decomposing the original centralized collaborative planning model by using an alternate direction multiplier method principle to obtain a planning model of each investment operation main body of wind power, electric hydrogen production and electric energy storage; on the basis, a wind power, electric hydrogen production and electric energy storage multi-main body distributed collaborative planning method is provided; the multi-subject distributed collaborative planning method overcomes the defect that the benefits of the multiple subjects are difficult to consider in the traditional collaborative planning method, realizes the distributed collaborative planning of the multiple subjects, and protects the privacy information safety of each subject.
In order to achieve the above purpose, the invention adopts the following technical scheme:
a multi-main-body distributed collaborative planning method for a wind-hydrogen storage system comprises the following steps:
step 1: the method comprises the steps of taking the planning operation cost of a wind-hydrogen storage system as a target, comprehensively considering investment planning and equipment operation constraint of the wind-hydrogen storage system, and establishing a centralized collaborative planning model of the wind-hydrogen storage system;
step 2: the principle of an alternate direction multiplier method is applied, and the centralized collaborative planning model established in the step 1 is equivalently decomposed to obtain a planning operation model of each main body of wind power, electric hydrogen production and electric energy storage;
step 3: on the basis of the planning operation model of each main body of wind power, electric hydrogen production and electric energy storage, which is established in the step 2, establishing a wind-hydrogen storage multi-main body distributed collaborative planning method;
further, in the step 1, the building of the centralized collaborative planning model of the wind-hydrogen storage system specifically includes the following steps:
step (1-1): determining a wind-hydrogen storage system minimized collaborative planning operation cost objective function according to the following formula (1), wherein the first term is annual investment cost of a wind power station wind driven generator; the second term is the annual investment cost of energy storage of the energy storage power station; the third to fifth items are the annual investment costs of the hydrogen production station electrolyzer, the compressor and the hydrogen storage tank, respectively; the sixth item is the cost of purchasing electricity from the power grid by the energy storage power station; the seventh term is the income of the energy storage power station in selling electricity to the power grid; the eighth item is the cost of purchasing electricity from the power grid by the hydrogen production power station; the ninth item is the income of the wind power station in selling electricity to the power grid:
(1)
in the method, in the process of the invention,representing a minimization of the total operating costs of the wind hydrogen storage system +.>；/>、/>、/>、And->The investment cost of unit capacity of the wind driven generator, the energy storage, the electrolytic tank, the compressor and the hydrogen storage tank is respectively; />、/>、/>、/>And->Investment capacities of the wind driven generator, the energy storage, the electrolytic tank, the compressor and the hydrogen storage tank are respectively;、/>、/>、/>and->The service lives of the fan, the energy storage, the electrolytic tank, the compressor and the hydrogen storage tank are respectively; />Is the discount rate; />For the total number of season typical day categories->Index for season typical day category, ++>Is->Days represented by typical days of the class season; />For time index>Is the total number of times of day; />And->The electricity selling price and the electricity purchasing price of the power grid are respectively; />In the (th)>Class season typical day->The amount of electricity purchased from the grid at the moment; />In the (th)>Class season typical day->The electric quantity sold to the power grid at any time; />To produce hydrogen at->Class season typical day->The amount of electricity purchased from the grid at the moment; />Wind power station at->Class season typical day->The electric quantity sold to the power grid at any time;
step (1-2): determining investment planning constraints for the wind-powered hydrogen storage system according to the following equation (2):
(2)
in the method, in the process of the invention,,/> , /> , />and->Maximum investment capacity of the wind driven generator, the energy storage, the electrolytic tank, the compressor and the hydrogen storage tank; />,/> , /> , />And->The actual investment capacity of the wind driven generator, the energy storage, the electrolytic tank, the compressor and the hydrogen storage tank are respectively;
step (1-3): determining an operational constraint of the wind power plant according to the following formula (3):
(3)
in the method, in the process of the invention,wind power generator with unit capacity at +.>Class season typical day->Generating capacity at moment->Wind power station at->Class season typical day->The amount of electricity sold to the grid at the moment,/-, for example>Wind power station at->Class season typical day->The amount of electricity sold to the energy storage station at the moment, +.>Wind power station at->Class season typical day->The amount of electricity sold to the hydrogen production station at any time;
step (1-4): determining an operating constraint of the energy storage power station according to the following formula (4):
（4）
in the method, in the process of the invention,and->Respectively the energy storage power station is at the->Class season typical day->The amount of electricity purchased from and sold to the grid at the moment, < >>In the (th)>Class season typical day->The amount of electricity sold to the hydrogen production station at the moment,and->Energy storage power station in->Class season typical day->A discharge amount and a charge amount at a time; />For maximum interaction capacity of energy storage power station and power grid, < >>For the binary variables used to determine the status of the energy storage plant and the grid interaction capacity,upper limit of selling electric power for energy storage station to hydrogen station,/->Energy storage for energy storage power station is->Class season typical dayTime electricity storage capacity,/">And->Charging and discharging efficiency of energy storage of the energy storage power station respectively, < + >>For binary variables for determining the charge/discharge state of the stored energy,/->And->Charging and discharging multiplying power of energy storage of the energy storage power station respectively, < + >>Andrespectively minimum and maximum energy storage ratio of energy storage of the energy storage power station, < >>Is a simulation time step;
step (1-5): determining an operating constraint for the hydrogen plant according to the following equation (5):
(5)
in the method, in the process of the invention,to produce hydrogen at->Class season typical day->Electric quantity purchased from the electric network at the moment, +.>Andhydrogen production station at->Power consumption of electrolyzer and compressor for season-like typical day time>To produce hydrogen at->Class season typical day->Hydrogen production at time->Hydrogen production efficiency for an electrolyzer, +.>To produce hydrogen at->Class season typical day->The electricity consumption of the electrolytic cell at all times, < >>In the hydrogen storage tank->Quaternary classFestival typical day->The amount of hydrogen stored at the moment in time,to produce hydrogen at->Class season typical day->Time hydrogen load->Is the specific heat capacity of hydrogen at normal pressure +.>For the temperature of the input hydrogen, < >>For the efficiency of the compressor>Is hydrogen isentropic index>Is the hydrogen compression ratio.
Further, the step 2 specifically includes the following steps:
step (2-1): determining a Lagrangian function of a collaborative planning operation objective function of the wind-hydrogen storage system according to the following formula (6):
(6)
in the method, in the process of the invention,,/>and->Is Lagrangian multiplier +.>For penalty factor, +.>In the (th)>Class season typical day->The amount of electricity desired to be purchased from the wind power plant at the moment, +.>To produce hydrogen at->Class season typical day->The amount of electricity desired to be purchased from the energy storage power station at the moment +.>To produce hydrogen at->Class season typical day->The amount of electricity desired to be purchased from the wind power plant at the moment, +.>Representing the variable->Square of the second order norm of (2);
step (2-2): decomposing the formula (6) according to the principle of the alternate direction multiplier method, and determining a planning operation model of the wind power station according to the formula (7) and the formula (8):
(7)
in the method, in the process of the invention,representing a minimization of the planned operating costs of the wind power plant +.>；
(8)
Step (2-3): determining a planned operating model of the energy storage power station according to the formula (9) and the formula (10):
(9)
in the method, in the process of the invention,representing a minimization of the planned operating costs of the energy storage power station +.>；
(10)
In the method, in the process of the invention,maximum power purchased from the energy storage power station from the wind power station;
step (2-4): determining a planned operating model of the hydrogen plant according to equations (11) and (12):
(11)
in the method, in the process of the invention,representing a minimization of the planned operating costs of the hydrogen production station +.>；
(12)
In the method, in the process of the invention,and->The maximum amount of electricity that the hydrogen plant can purchase from the energy storage power station and the wind power station, respectively.
Further, the specific steps of the step 3 are as follows:
step (3-1): maximum iteration number of initializing wind-hydrogen storage multi-main-body distributed collaborative planning algorithmIteration number index->And iterative convergence precision +.>The method comprises the steps of carrying out a first treatment on the surface of the Initializing Lagrangian multiplier +.>，/>，/>Penalty coefficientAnd +.>，/>And->；
Step (3-2): wind power plant based on expected transaction power received from energy storage power plant and hydrogen generation stationAndsolving the formula (7) and the formula (8) to obtain the electric quantity +.>And；
step (3-3): the energy storage power station receives the electric quantity which the energy storage power station expects to sell from the wind power stationAnd receiving from the hydrogen station the amount of electricity it desires to purchase +.>The method comprises the steps of carrying out a first treatment on the surface of the Solving the formula (9) and the formula (10) to obtain the electric quantity expected to be purchased from the wind power station by the energy storage power stationAnd the amount of electricity desired to be sold to the hydrogen production station +.>；
Step (3-4): the hydrogen generation station receives the electricity it expects to sell from the wind power stationAnd receiving from the energy storage power station the amount of electricity it expects to sell +.>The method comprises the steps of carrying out a first treatment on the surface of the Solving the formula (11) and the formula (12) to obtain the electric quantity expected to be purchased from the wind power station by the hydrogen production stationAnd the amount of electricity desired to be purchased from an energy storage power station +.>；
Step (3-5): updating the lagrangian multiplier according to equation (13):
(13)
step (3-6): updating the iteration times:k=k+1；
step (3-7): judging the convergence condition of the wind-hydrogen storage multi-main body distributed collaborative planning algorithm, if the iteration termination condition of the formula (14) is met, ending the iteration, otherwise, returning to the flow step (3-2), and repeating the iteration calculation until the iteration termination condition is met:
(14)。
compared with the prior art, the invention has the beneficial effects that:
(1) The invention can realize the collaborative planning operation among the multiple main bodies of the wind-hydrogen storage system;
(2) The invention realizes the distributed solution of the multi-main-body collaborative planning operation scheme of the wind-hydrogen storage system, and can effectively protect the privacy information safety of each participating main body.
In summary, the multi-main-body distributed collaborative planning method of the wind-hydrogen storage system can simultaneously realize collaborative planning operation among multiple main bodies, and solves the problem that the existing method is difficult to solve the multi-main-body collaborative planning; meanwhile, a distributed solving method based on the principle of the alternate direction multiplier method is provided, so that the privacy information safety of each participating subject can be effectively protected.
Drawings
FIG. 1 is a schematic diagram of a wind hydrogen storage system of the present invention;
fig. 2 is a flowchart of a multi-body distributed collaborative planning method for a wind-hydrogen storage system according to the present invention.
Detailed Description
The present invention will be described in detail with reference to the accompanying drawings and the implementation flow.
As shown in fig. 1, in the wind-hydrogen storage system of the invention, a wind power station, a hydrogen production station and an energy storage power station belong to different investment operation main bodies, and electricity generated by the wind power station can be sold to a power grid or the energy storage power station and the hydrogen production station; the hydrogen production station comprises an electrolytic tank, a compressor and a hydrogen storage tank, and can purchase electricity from a power grid and a wind power station for producing hydrogen to meet hydrogen load; the energy storage power station can sell electricity to the power grid and the hydrogen production station, and can purchase electricity from the power grid and the wind power plant.
The multi-main-body distributed collaborative planning method for the wind-hydrogen storage system firstly establishes a centralized collaborative planning model of the wind-hydrogen storage system; then, decomposing the original centralized collaborative planning model by using an alternate direction multiplier method principle to obtain a planning model of each investment operation main body of wind power, electric hydrogen production and electric energy storage; on the basis, a wind power, electric hydrogen production and electric energy storage multi-main body distributed collaborative planning method is provided; the multi-subject distributed collaborative planning method overcomes the defect that the benefits of the multiple subjects are difficult to consider in the traditional collaborative planning method, realizes the distributed collaborative planning of the multiple subjects, and protects the privacy information safety of each subject.
Specifically, as shown in fig. 2, the multi-main-body distributed collaborative planning method of the wind-hydrogen storage system of the invention comprises the following steps:
step 1: the method aims at minimizing the planning operation cost of the wind-hydrogen storage system, comprehensively considers the investment planning and equipment operation constraint of the wind-hydrogen storage system, and establishes a centralized collaborative planning model of the wind-hydrogen storage system, and specifically comprises the following steps:
step (1-1): determining a wind-hydrogen storage system minimization collaborative planning operation cost objective function according to the following formula (1), wherein a first term on the right side of the equal sign in the formula (1) is annual investment cost of a wind power plant wind driven generator; the second term is the annual investment cost of energy storage of the energy storage power station; the third to fifth items are annual investment costs of the hydrogen production station electrolyzer, the compressor and the hydrogen storage tank, respectively; the sixth item is the cost of purchasing electricity from the power grid by the energy storage power station; the seventh term is the income of the energy storage power station in selling electricity to the power grid; the eighth item is the cost of purchasing electricity from the power grid by the hydrogen production power station; the ninth item is the income of the wind power station in selling electricity to the power grid:
(1)
in the method, in the process of the invention,representing a minimization of the total operating costs of the wind hydrogen storage system +.>；/>、/>、/>、And->The investment cost of unit capacity of the wind driven generator, the energy storage, the electrolytic tank, the compressor and the hydrogen storage tank is respectively; />、/>、/>、/>And->Investment capacities of the wind driven generator, the energy storage, the electrolytic tank, the compressor and the hydrogen storage tank are respectively;、/>、/>、/>and->The service lives of the fan, the energy storage, the electrolytic tank, the compressor and the hydrogen storage tank are respectively; />Is the discount rate; />For the total number of season typical day categories->Index for season typical day category, ++>Is->Days represented by typical days of the class season; />For time index>Is the total number of times of day; />And->The electricity selling price and the electricity purchasing price of the power grid are respectively; />In the (th)>Class season typical day->The amount of electricity purchased from the grid at the moment; />In the (th)>Class season typical day->The electric quantity sold to the power grid at any time; />To produce hydrogen at->Class season typical day->The amount of electricity purchased from the grid at the moment; />Wind power station at->Class season typical day->The electric quantity sold to the power grid at any time;
step (1-2): determining investment planning constraints for the wind-powered hydrogen storage system according to the following equation (2):
(2)
in the method, in the process of the invention,,/> , /> , />and->Maximum investment capacity of the wind driven generator, the energy storage, the electrolytic tank, the compressor and the hydrogen storage tank; />,/> , /> , />And->The actual investment capacity of the wind driven generator, the energy storage, the electrolytic tank, the compressor and the hydrogen storage tank are respectively;
step (1-3): determining an operational constraint of the wind power plant according to the following formula (3):
(3)
in the method, in the process of the invention,wind power generator with unit capacity at +.>Class season typical day->Generating capacity at moment->Wind power station at->Class season typical day->The amount of electricity sold to the grid at the moment,/-, for example>Wind power station at->Class season typical day->The amount of electricity sold to the energy storage station at the moment, +.>Wind power station at->Class season typical day->The amount of electricity sold to the hydrogen production station at any time;
step (1-4): determining an operating constraint of the energy storage power station according to the following formula (4):
（4）/>
in the method, in the process of the invention,and->Respectively the energy storage power station is at the->Class season typical day->The amount of electricity purchased from and sold to the grid at the moment, < >>In the (th)>Class season typical day->The amount of electricity sold to the hydrogen production station at the moment,and->Energy storage power station in->Class season typical day->A discharge amount and a charge amount at a time; />For maximum interaction capacity of energy storage power station and power grid, < >>For the binary variables used to determine the status of the energy storage plant and the grid interaction capacity,selling electric power to hydrogen station for energy storage power stationLimited (I)>Energy storage for energy storage power station is->Class season typical dayTime electricity storage capacity,/">And->Charging and discharging efficiency of energy storage of the energy storage power station respectively, < + >>For binary variables for determining the charge/discharge state of the stored energy,/->And->Charging and discharging multiplying power of energy storage of the energy storage power station respectively, < + >>Andrespectively minimum and maximum energy storage ratio of energy storage of the energy storage power station, < >>Is a simulation time step;
step (1-5): determining an operating constraint for the hydrogen plant according to the following equation (5):
(5)
in the method, in the process of the invention,to produce hydrogen at->Class season typical day->Electric quantity purchased from the electric network at the moment, +.>Andhydrogen production station at->Power consumption of electrolyzer and compressor for season-like typical day time>To produce hydrogen at->Class season typical day->Hydrogen production at time->Hydrogen production efficiency for an electrolyzer, +.>To produce hydrogen at->Class season typical day->The electricity consumption of the electrolytic cell at all times, < >>In the hydrogen storage tank->Class season typical day->The amount of hydrogen stored at the moment in time,to produce hydrogen at->Class season typical day->Time hydrogen load->Is the specific heat capacity of hydrogen at normal pressure +.>For the temperature of the input hydrogen, < >>For the efficiency of the compressor>Is hydrogen isentropic index>Is the hydrogen compression ratio.
Step 2: and (3) decomposing the centralized collaborative planning model established in the step (1) equivalently by applying the principle of an alternate direction multiplier method to obtain a planning operation model of each main body of wind power, electric hydrogen production and electric energy storage, wherein the method specifically comprises the following steps:
step (2-1): determining a Lagrangian function of a collaborative planning operation objective function of the wind-hydrogen storage system according to the following formula (6): (6)
in the method, in the process of the invention,,/>and->Is Lagrangian multiplier +.>For penalty factor, +.>In the (th)>Class season typical day->The amount of electricity desired to be purchased from the wind power plant at the moment, +.>To produce hydrogen at->Class season typical day->The amount of electricity desired to be purchased from the energy storage power station at the moment +.>To produce hydrogen at->Class season typical day->The amount of electricity desired to be purchased from the wind power plant at the moment, +.>Representing the variable->Square of the second order norm of (2);
step (2-2): decomposing the formula (6) according to the principle of the alternate direction multiplier method, and determining a planning operation model of the wind power station according to the formula (7) and the formula (8):
(7)
in the method, in the process of the invention,representing a minimization of the planned operating costs of the wind power plant +.>；
(8)
Step (2-3): determining a planned operating model of the energy storage power station according to the formula (9) and the formula (10):
(9)
in the method, in the process of the invention,representing a minimization of the planned operating costs of the energy storage power station +.>；
(10)
In the method, in the process of the invention,maximum power purchased from the energy storage power station from the wind power station;
step (2-4): determining a planned operating model of the hydrogen plant according to equations (11) and (12):
(11)
in the method, in the process of the invention,representing a minimization of the planned operating costs of the hydrogen production station +.>；/>
(12)
In the method, in the process of the invention,and->The maximum amount of electricity that the hydrogen plant can purchase from the energy storage power station and the wind power station, respectively.
Step 3: on the basis of the planning operation model of each main body of wind power, electric hydrogen production and electric energy storage, which is established in the step 2, the wind hydrogen storage multi-main body distributed collaborative planning method is established, and the specific steps are as follows:
step (3-1): maximum iteration number of initializing wind-hydrogen storage multi-main-body distributed collaborative planning algorithmIteration number index->And iterative convergence precision +.>The method comprises the steps of carrying out a first treatment on the surface of the Initializing Lagrangian multiplier +.>，/>，/>Penalty coefficientAnd +.>，/>And->；
Step (3-2): wind power plant based on expected transaction power received from energy storage power plant and hydrogen generation stationAndsolving the formula (7) and the formula (8) to obtain the electric quantity +.>And；
step (3-3): the energy storage power station receives the electric quantity which the energy storage power station expects to sell from the wind power stationAnd receiving from the hydrogen station the amount of electricity it desires to purchase +.>The method comprises the steps of carrying out a first treatment on the surface of the Solving the formula (9) and the formula (10) to obtain the electric quantity expected to be purchased from the wind power station by the energy storage power stationAnd the amount of electricity desired to be sold to the hydrogen production station +.>；
Step (3-4): the hydrogen generation station receives the electricity it expects to sell from the wind power stationAnd receiving from the energy storage power station the amount of electricity it expects to sell +.>The method comprises the steps of carrying out a first treatment on the surface of the Solving the formula (11) and the formula (12) to obtain the electric quantity expected to be purchased from the wind power station by the hydrogen production stationAnd the amount of electricity desired to be purchased from an energy storage power station +.>；/>
Step (3-5): updating the lagrangian multiplier according to equation (13):
(13)
step (3-6): updating the iteration times:k=k+1；
step (3-7): judging the convergence condition of the wind-hydrogen storage multi-main body distributed collaborative planning algorithm, if the iteration termination condition of the formula (14) is met, ending the iteration, otherwise, returning to the flow step (3-2), and repeating the iteration calculation until the iteration termination condition is met:
(14)。
the above steps of implementation are provided for the purpose of describing the present invention only and are not intended to limit the scope of the present invention. The scope of the invention is defined by the appended claims. Various equivalents and modifications that do not depart from the spirit and principles of the invention are intended to be included within the scope of the invention.
Claims (4)
1. The multi-main-body distributed collaborative planning method for the wind-hydrogen storage system is characterized by comprising the following steps of:
step 1: the method comprises the steps of taking the planning operation cost of a wind-hydrogen storage system as a target, comprehensively considering investment planning and equipment operation constraint of the wind-hydrogen storage system, and establishing a centralized collaborative planning model of the wind-hydrogen storage system;
step 2: the principle of an alternate direction multiplier method is applied, and the centralized collaborative planning model of the wind-hydrogen storage system established in the step 1 is equivalently decomposed to obtain a planning operation model of each main body of wind power, electric hydrogen production and electric energy storage;
step 3: and (3) establishing a wind-hydrogen storage multi-body distributed collaborative planning method on the basis of the planning operation model of each body of wind power, electric hydrogen production and electric energy storage established in the step (2).
2. The multi-body distributed collaborative planning method for a wind-hydrogen storage system according to claim 1, wherein the method comprises the following steps: the step 1 specifically comprises the following steps:
step (1-1): determining a wind-hydrogen storage system minimization collaborative planning operation cost objective function according to the following formula (1), wherein a first term on the right side of the equal sign in the formula (1) is annual investment cost of a wind power plant wind driven generator; the second term is the annual investment cost of energy storage of the energy storage power station; the third to fifth items are annual investment costs of the hydrogen production station electrolyzer, the compressor and the hydrogen storage tank, respectively; the sixth item is the cost of purchasing electricity from the power grid by the energy storage power station; the seventh term is the income of the energy storage power station in selling electricity to the power grid; the eighth item is the cost of purchasing electricity from the power grid by the hydrogen production power station; the ninth item is the income of the wind power station in selling electricity to the power grid:
(1)
in the method, in the process of the invention,representing a minimization of the total operating costs of the wind hydrogen storage system +.>；/>、/>、/>、/>Andthe investment cost of unit capacity of the wind driven generator, the energy storage, the electrolytic tank, the compressor and the hydrogen storage tank is respectively; />、/>、、/>And->Investment capacities of the wind driven generator, the energy storage, the electrolytic tank, the compressor and the hydrogen storage tank are respectively; />、、/>、/>And->The service lives of the fan, the energy storage, the electrolytic tank, the compressor and the hydrogen storage tank are respectively; />Is the discount rate;for the total number of season typical day categories->Index for season typical day category, ++>Is->Days represented by typical days of the class season; />For time index>Is the total number of times of day; />And->The electricity selling price and the electricity purchasing price of the power grid are respectively; />In the (th)>Class season typical day->The amount of electricity purchased from the grid at the moment; />In the (th)>Class season typical day->The electric quantity sold to the power grid at any time; />To produce hydrogen at->Class season typical day->The amount of electricity purchased from the grid at the moment; />Wind power station at->Class season typical day->The electric quantity sold to the power grid at any time;
step (1-2): determining investment planning constraints for the wind-powered hydrogen storage system according to the following equation (2):
(2)
in the method, in the process of the invention,,/> , /> , />and->Maximum investment capacity of the wind driven generator, the energy storage, the electrolytic tank, the compressor and the hydrogen storage tank; />,/> , /> , />And->The actual investment capacity of the wind driven generator, the energy storage, the electrolytic tank, the compressor and the hydrogen storage tank are respectively;
step (1-3): determining an operational constraint of the wind power plant according to the following formula (3):
(3)
in the method, in the process of the invention,wind power generator with unit capacity at +.>Class season typical day->Generating capacity at moment->Wind power station at->Class season typical day->The amount of electricity sold to the grid at the moment,/-, for example>Wind power station at->Class season typical dayThe amount of electricity sold to the energy storage station at the moment, +.>Wind power station at->Class season typical day->The amount of electricity sold to the hydrogen production station at any time;
step (1-4): determining an operating constraint of the energy storage power station according to the following formula (4):
（4）
in the method, in the process of the invention,and->Respectively the energy storage power station is at the->Class season typical day->The amount of electricity purchased from and sold to the grid at the moment, < >>In the (th)>Class season typical day->The quantity of electricity sold to the hydrogen station at the moment, +.>And->Energy storage power station in->Class season typical day->A discharge amount and a charge amount at a time; />For maximum interaction capacity of energy storage power station and power grid, < >>For determining binary variablesStatus of energy storage power station and grid interaction electric quantity, +.>Upper limit of selling electric power for energy storage station to hydrogen station,/->Energy storage for energy storage power station is->Class season typical day->Time electricity storage capacity,/">And->Charging and discharging efficiency of energy storage of the energy storage power station respectively, < + >>For binary variables for determining the charge/discharge state of the stored energy,/->And->Charging and discharging multiplying power of energy storage of the energy storage power station respectively, < + >>And->Respectively minimum and maximum energy storage ratio of energy storage of the energy storage power station, < >>For simulating time stepsLong;
step (1-5): determining an operating constraint for the hydrogen plant according to the following equation (5):
(5)
in the method, in the process of the invention,to produce hydrogen at->Class season typical day->Electric quantity purchased from the electric network at the moment, +.>And->Hydrogen production station at->Power consumption of electrolyzer and compressor for season-like typical day time>To produce hydrogen at->Class season typical day->Hydrogen production at time->Hydrogen production efficiency for an electrolyzer, +.>To produce hydrogen at->Class season typical day->The electricity consumption of the electrolytic cell at all times, < >>In the hydrogen storage tank->Class season typical day->Time hydrogen storage capacity->To produce hydrogen at->Class season typical day->Time hydrogen load->Is the specific heat capacity of hydrogen at normal pressure +.>For the temperature of the input hydrogen, < >>For the efficiency of the compressor>Is hydrogen isentropic index>Is the hydrogen compression ratio.
3. The multi-body distributed collaborative planning method for a wind-hydrogen storage system according to claim 2, wherein the method comprises the steps of: the step 2 specifically comprises the following steps:
step (2-1): determining a Lagrangian function of a collaborative planning operation objective function of the wind-hydrogen storage system according to the following formula (6):
(6)
in the method, in the process of the invention,,/>and->Is Lagrangian multiplier +.>For penalty factor, +.>In the first place for energy storage power stationClass season typical day->The amount of electricity desired to be purchased from the wind power plant at the moment, +.>To produce hydrogen at->Class season typical day->The amount of electricity desired to be purchased from the energy storage power station at the moment +.>To produce hydrogen at->Class season typical day->The amount of electricity desired to be purchased from the wind power plant at the moment, +.>Representing the variable->Square of the second order norm of (2);
step (2-2): decomposing the formula (6) according to the principle of the alternate direction multiplier method, and determining a planning operation model of the wind power station according to the formula (7) and the formula (8):
(7)
in the method, in the process of the invention,representing a minimization of the planned operating costs of the wind power plant +.>；
(8)
Step (2-3): determining a planned operating model of the energy storage power station according to the formula (9) and the formula (10):
(9)
in the method, in the process of the invention,representing a minimization of the planned operating costs of the energy storage power station +.>；
(10)
In the method, in the process of the invention,maximum power purchased from the energy storage power station from the wind power station;
step (2-4): determining a planned operating model of the hydrogen plant according to equations (11) and (12):
(11)
in the method, in the process of the invention,representing a minimization of the planned operating costs of the hydrogen production station +.>；
(12)
In the method, in the process of the invention,and->The maximum amount of electricity that the hydrogen plant can purchase from the energy storage power station and the wind power station, respectively.
4. A method for multi-body distributed collaborative planning of a wind-hydrogen storage system according to claim 3, wherein: the step 3 specifically comprises the following steps:
step (3-1): maximum iteration number of initializing wind-hydrogen storage multi-main-body distributed collaborative planning algorithmIteration number index->And iterative convergence precision +.> The method comprises the steps of carrying out a first treatment on the surface of the Initializing Lagrangian multiplier +.>，/>，/>Penalty coefficient->And +.>，/>And->；
Step (3-2): wind power plant based on expected transaction power received from energy storage power plant and hydrogen generation stationAnd->Solving the formula (7) and the formula (8) to obtain the electric quantity +.>And->；
Step (3-3): the energy storage power station receives the electric quantity which the energy storage power station expects to sell from the wind power stationAnd receiving from the hydrogen station the amount of electricity it desires to purchase +.>The method comprises the steps of carrying out a first treatment on the surface of the Solving the formula (9) and the formula (10) to obtain the electric quantity which the energy storage power station expects to purchase from the wind power station>And the amount of electricity desired to be sold to the hydrogen production station +.>；
Step (3-4): the hydrogen generation station receives the electricity it expects to sell from the wind power stationAnd receiving its expectations from an energy storage power stationElectric quantity for sale->The method comprises the steps of carrying out a first treatment on the surface of the Solving the formula (11) and the formula (12) to obtain the electric quantity which the hydrogen production station expects to purchase from the wind power station>And the amount of electricity desired to be purchased from an energy storage power station +.>；
Step (3-5): updating the lagrangian multiplier according to equation (13):
(13)
step (3-6): updating the iteration times: k=k+1;
step (3-7): judging the convergence condition of the wind-hydrogen storage multi-main body distributed collaborative planning algorithm, if the iteration termination condition of the formula (14) is met, ending the iteration, otherwise, returning to the flow step (3-2), and repeating the iteration calculation until the iteration termination condition is met:
(14)。
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