CN-121984057-A - Hydrogen junction planning method and device for interconnection of multi-region power distribution network

CN121984057ACN 121984057 ACN121984057 ACN 121984057ACN-121984057-A

Abstract

The invention provides a hydrogen junction planning method and device for interconnection of a multi-area power distribution network, which are applied to the technical field of power distribution network energy storage planning. The method comprises the steps of constructing a hydrogen junction planning model according to an objective function constructed based on distribution network parameters, photovoltaic load data, planning objective configuration information and hydrogen junction planning parameters of a multi-area distribution network and a plurality of constraint conditions, solving a plurality of robust planning models constructed according to a plurality of uncertainty source load data sets determined according to a plurality of uncertainty budget values and a plurality of uncertainty source load data sets and the hydrogen junction planning model to obtain a plurality of hydrogen junction planning schemes, respectively taking and exchanging a preset uncertainty source load data set and a plurality of offset source load scene sets to obtain a plurality of objective function values according to a plurality of offset test scene sets, the hydrogen junction planning schemes and the robust planning models, and determining the hydrogen junction planning scheme corresponding to the objective uncertainty budget values determined according to the objective function values as the objective hydrogen junction planning scheme.

Inventors

ZHAO JINLI
Lv Tianhuan
SONG GUANYU
JI HAORAN
Xing Jiamu
YU HAO
LI PENG

Assignees

天津大学

Dates

Publication Date: 20260505
Application Date: 20260403

Claims (10)

1. A hydrogen junction planning method for interconnecting a plurality of regional distribution networks, comprising: Constructing an objective function according to distribution network parameters, photovoltaic load data, planning target configuration information and hydrogen junction planning parameters of the multi-region distribution network; constructing a hydrogen junction planning model according to an objective function, a multi-region power distribution network operation constraint condition, a power capacity constraint condition of a power distribution device corresponding to a power distribution device in each region power distribution network, a hydrogen junction planning constraint condition, an energy balance constraint condition of the multi-region power distribution network input by the hydrogen junction, and a power constraint condition between the hydrogen junction and a direct current-to-direct current converter in the power distribution device; Determining a plurality of uncertainty source load data sets according to a plurality of uncertainty budget values and a certainty source load data set obtained based on photovoltaic load data, and respectively solving a plurality of robust planning models constructed according to the plurality of uncertainty source load data sets and the hydrogen junction planning model by using a solver to obtain a plurality of hydrogen junction planning schemes, wherein planning target configuration information comprises planning parameters in the hydrogen junction planning schemes; Respectively acquiring intersections of a preset uncertainty source load data set and a plurality of offset source load scene sets obtained according to the uncertainty source load data set and a plurality of random coefficients to obtain a plurality of offset test scene sets, and obtaining a plurality of objective function values according to the plurality of offset test scene sets, a hydrogen junction planning scheme and a robust planning model corresponding to each uncertainty budget value, wherein the preset uncertainty source load data set is obtained according to the uncertainty budget value equal to the preset value; And determining a target uncertainty budget value from the plurality of uncertainty budget values according to a plurality of target function values corresponding to the plurality of uncertainty budget values, and determining a hydrogen junction planning scheme corresponding to the target uncertainty budget value as a target hydrogen junction planning scheme.
2. The method of claim 1, wherein the balance constraints of the energy of the hydrogen junction input multi-zone power distribution network are: The active power injected into the direct current side of the distribution device in the multi-region distribution network at each moment is equal to the active power injected into the hydrogen junction at each moment, wherein the active power injected into the hydrogen junction at each moment is calculated according to the difference between the active power output by the proton exchange membrane hydrogen fuel cell in the hydrogen junction at each moment and the active power input by the proton exchange membrane hydrogen production electrolytic cell in the hydrogen junction at each moment.
3. The method of claim 1, wherein the power constraint between the hydrogen junction and the dc-to-dc converter in the electrical distribution device is: the hydrogen junction is injected at each moment into the square of the active power of the dc side of the distribution device in each regional distribution network, which is less than or equal to the square of the capacity of the dc-dc converter of the dc side of the distribution device in each regional distribution network.
4. The method of claim 2, wherein the hydrogen junction planning constraints are: The active power output by the proton exchange membrane hydrogen fuel cell at each moment is in a first power range, wherein the first power range is determined according to the lower limit of the active power output by the proton exchange membrane hydrogen fuel cell and the planned capacity of the proton exchange membrane hydrogen fuel cell; the planned capacity of the proton exchange membrane hydrogen fuel cell is in a second power range, wherein the second power range is determined according to the lower limit and the upper limit of the output active power of the proton exchange membrane hydrogen fuel cell; The active power input by the proton exchange membrane hydrogen production electrolytic cell at each moment is in a third power range, wherein the third power range is determined according to the lower limit of the active power input by the proton exchange membrane hydrogen production electrolytic cell and the planning capacity of the proton exchange membrane hydrogen production electrolytic cell; The planning capacity of the proton exchange membrane hydrogen production electrolyzer is in a fourth power range, wherein the fourth power range is determined according to the lower limit and the upper limit of the input active power of the proton exchange membrane hydrogen production electrolyzer; At each moment, the output active power climbing amount of the proton exchange membrane hydrogen fuel cell is within a first active power climbing amount range, wherein the first active power climbing amount range is determined according to the lower limit and the upper limit of the output active power climbing amount of the proton exchange membrane hydrogen fuel cell; At each moment, the climbing amount of the input active power of the proton exchange membrane hydrogen production electrolytic cell is within a second range of the climbing amount of the active power, wherein the second range of the climbing amount of the active power is determined according to the lower limit and the upper limit of the climbing amount of the input active power of the proton exchange membrane hydrogen production electrolytic cell; at each moment, the hydrogen storage tank storage hydrogen mass corresponding to the hydrogen storage tank in the hydrogen junction is in a first hydrogen mass range, wherein the first hydrogen mass range is determined according to the lower limit of the hydrogen storage tank storage hydrogen mass and the preset hydrogen storage tank storage hydrogen mass value, and the preset hydrogen storage tank storage hydrogen mass value is obtained according to the hydrogen mass energy conversion coefficient and the planned hydrogen storage tank capacity; the predetermined hydrogen mass stored in the hydrogen storage tank is within a second hydrogen mass range, wherein the second hydrogen mass range is determined according to a lower limit and an upper limit of the hydrogen mass stored in the hydrogen storage tank.
5. The method of claim 4, wherein the planning target configuration information includes proton exchange membrane hydrogen production electrolyzer planning capacity, proton exchange membrane hydrogen fuel cell planning capacity, hydrogen storage tank planning capacity, and capacity of a hydrogen hub connected dc-to-dc converter.
6. The method of claim 5, wherein constructing an objective function based on the power distribution network parameters, the photovoltaic load data, the planning target configuration information, and the hydrogen hub planning parameters of the multi-zone power distribution network comprises: According to the network loss power of each regional distribution network at each moment and the power loss generated by the current converter of the distribution device in each regional distribution network at each distribution network node at each moment, obtaining the network loss cost of each regional distribution network at each moment, wherein the network loss power of each regional distribution network at each moment is obtained by calculating according to the current between adjacent nodes of each regional distribution network and the resistance of a branch where the adjacent nodes of each regional distribution network are located at each moment; According to the light discarding effective amount of each photovoltaic access node in each regional power distribution network at each moment, obtaining the light discarding cost of each regional power distribution network at each moment; Obtaining annual equivalent operation cost of each regional distribution network at each moment according to the network loss cost and the light discarding cost of each regional distribution network at each moment; Obtaining annual equivalent operation cost of the hydrogen junction at each moment according to the hydrogen energy loss generated by the hydrogen device in the hydrogen junction at each moment and the hydrogen selling quantity of the hydrogen junction at each moment; Determining the annual investment cost of hydrogen junction planning according to the planning capacity of a proton exchange membrane hydrogen production electrolytic cell, the planning capacity of a proton exchange membrane hydrogen fuel cell, the planning capacity of a hydrogen storage tank, the capacity of a direct current-to-direct current converter connected with a hydrogen junction and the fund recovery coefficient, wherein the fund recovery coefficient is calculated according to the discount rate and the planning duration, and the hydrogen junction planning parameter comprises the planning duration; And constructing an objective function according to the annual equivalent operation cost of the multi-region power distribution network at each moment, the annual equivalent operation cost of the hydrogen junction at each moment, the annual investment cost of the hydrogen junction planning and the deterministic source load data set obtained based on the photovoltaic load data.
7. The method according to claim 1, wherein the method further comprises: Performing data migration on the deterministic source load data set by utilizing each group of random coefficients to obtain a migration source load scene set corresponding to each group of random coefficients; the obtaining a plurality of objective function values according to the plurality of offset test scene sets, the hydrogen junction planning scheme and the robust planning model corresponding to each uncertainty budget value comprises: Replacing an uncertainty source load data set in the robust planning model corresponding to each uncertainty budget value by using each offset test scene set to obtain a hydrogen junction offset planning model corresponding to each offset test scene set; And obtaining an objective function value corresponding to each migration test scene set according to the hydrogen junction planning scheme corresponding to each uncertainty budget value and the hydrogen junction migration planning model corresponding to each migration test scene set.
8. The method of claim 7, wherein the method further comprises: calculating the Neisserial distances between the deterministic source load data set and the plurality of offset test scene sets respectively, and determining a plurality of scene offset degrees corresponding to the plurality of offset test scene sets respectively according to the multiple Neisserial distances; determining a plurality of scene offset degrees corresponding to the objective function values according to the corresponding relation between the plurality of offset test scene sets and the plurality of scene offset degrees and the corresponding relation between the plurality of offset test scene sets and the plurality of objective function values; the determining the target uncertainty budget value from the plurality of uncertainty budget values according to the plurality of target function values corresponding to the plurality of uncertainty budget values respectively comprises: the target uncertainty budget value is determined from the plurality of uncertainty budget values based on the plurality of objective function values corresponding to each of the plurality of uncertainty budget values and the scene offset corresponding to each of the objective function values.
9. The method of claim 1, wherein the solving, with a solver, the plurality of robust planning models constructed from the plurality of uncertainty source load data sets and the hydrogen hub planning model, respectively, to obtain the plurality of hydrogen hub planning schemes comprises: Carrying out model linearization processing on each robust planning model constructed according to each uncertainty source load data set and the hydrogen junction planning model according to a second order cone conversion method to obtain a linearized planning model corresponding to each uncertainty source load data set; And solving the linear planning model corresponding to each uncertainty source load data set by using a solver to obtain a hydrogen junction planning scheme corresponding to each uncertainty source load data set.
10. A hydrogen junction planning apparatus for interconnecting a plurality of regional distribution networks, comprising: The first construction module is used for constructing an objective function according to the distribution network parameters, the photovoltaic load data, the planning target configuration information and the hydrogen junction planning parameters of the multi-area distribution network; The second construction module is used for constructing a hydrogen junction planning model according to an objective function, a multi-region power distribution network operation constraint condition, a power distribution device power capacity constraint condition corresponding to a power distribution device in each region power distribution network, a hydrogen junction planning constraint condition, an energy balance constraint condition of the hydrogen junction input multi-region power distribution network, and a power constraint condition between the hydrogen junction and a direct current-to-direct current converter in the power distribution device; The first obtaining module is used for determining a plurality of uncertainty source load data sets according to a plurality of uncertainty budget values and a certainty source load data set obtained based on photovoltaic load data, and respectively solving a plurality of robust planning models constructed according to the plurality of uncertainty source load data sets and the hydrogen junction planning model by utilizing a solver to obtain a plurality of hydrogen junction planning schemes, wherein planning target configuration information comprises planning parameters in the hydrogen junction planning scheme; The second obtaining module is used for respectively obtaining intersections of a preset uncertainty source load data set and a plurality of offset source load scene sets obtained according to the deterministic source load data set and a plurality of random coefficients to obtain a plurality of offset test scene sets, and obtaining a plurality of objective function values according to the plurality of offset test scene sets, a hydrogen hub planning scheme and a robust planning model corresponding to each uncertainty budget value, wherein the preset uncertainty source load data set is obtained according to the uncertainty budget value equal to the preset value; And the determining module is used for determining a target uncertainty budget value from the uncertainty budget values according to a plurality of target function values corresponding to the uncertainty budget values, and determining a hydrogen junction planning scheme corresponding to the target uncertainty budget value as a target hydrogen junction planning scheme.

Description

Hydrogen junction planning method and device for interconnection of multi-region power distribution network Technical Field The invention relates to the technical field of energy storage planning of power distribution networks, in particular to a hydrogen junction planning method and device for multi-region power distribution network interconnection. Background When the multi-region power distribution network collaborative optimization is carried out, the power distribution network energy storage system plays a role in energy balance in the time dimension. The hydrogen junction belongs to a power distribution network energy storage form in a power distribution network scene, and therefore the hydrogen junction can be used as an energy interaction station for connecting a multi-area flexible power distribution network. Furthermore, the hydrogen junction planning problem is a power distribution network energy storage planning problem. When the related technology is used for processing the energy storage planning problem of the power distribution network, the short-term planning of electrochemical energy storage is considered, the adaptability to the unbalance of the power distribution network source load season is lacked, or the long-period energy management requirement is considered, but the collaborative planning of the multi-region flexible power distribution network is ignored, or the uncertainty of the output and load level of renewable energy sources is not considered, so that the planning scheme has poor robustness, or the proper parameters are difficult to select to obtain the planning scheme with strong robustness and low cost. Disclosure of Invention In view of the above, the invention provides a hydrogen junction planning method and device for interconnection of a multi-region power distribution network. According to one aspect of the invention, a hydrogen junction planning method for interconnection of a multi-region power distribution network is provided, comprising the steps of constructing an objective function according to power distribution network parameters, photovoltaic load data, planning objective configuration information and hydrogen junction planning parameters of the multi-region power distribution network, respectively solving a plurality of robust planning schemes constructed according to the objective function, the multi-region power distribution network operation constraint conditions, power distribution device power capacity constraint conditions corresponding to power distribution devices in each region power distribution network, hydrogen junction planning constraint conditions, balanced constraint conditions of energy input by the hydrogen junction into the multi-region power distribution network, power constraint conditions between the hydrogen junction and direct current-to-direct current converters in the power distribution devices, constructing a hydrogen junction planning model, respectively obtaining a plurality of uncertainty source load data sets according to a plurality of uncertainty budget values and a plurality of uncertainty source load data sets obtained based on photovoltaic load data, respectively solving a plurality of robust planning schemes constructed according to the plurality of uncertainty source load data sets and the hydrogen junction planning model by utilizing a solver, obtaining a plurality of robust planning schemes, wherein the objective configuration information comprises planning parameters in the hydrogen junction planning schemes, respectively obtaining a preset uncertainty source load data set and a plurality of the multiple uncertainty load data sets and a plurality of bias conditions corresponding to a plurality of uncertainty source load data sets and a plurality of predetermined bias conditions according to the uncertainty budget value and a plurality of the constraint values, respectively obtaining a plurality of the multiple uncertainty source bias sets and a plurality of the predetermined bias conditions according to the uncertainty budget value and the constraint conditions respectively, a target uncertainty budget value is determined from the plurality of uncertainty budget values, and a hydrogen hub planning scheme corresponding to the target uncertainty budget value is determined as a target hydrogen hub planning scheme. According to another aspect of the invention, a hydrogen junction planning device for interconnection of a multi-region power distribution network is provided, and comprises a first construction module, a second construction module, a first obtaining module and a second obtaining module, wherein the first construction module is used for constructing an objective function according to power distribution network parameters of the multi-region power distribution network, photovoltaic load data, planning objective configuration information and hydrogen junction planning parameters, the second construction module is us