CN113659576B - Cross-region interaction method, device, equipment and medium under alternating current-direct current hybrid power grid - Google Patents

Cross-region interaction method, device, equipment and medium under alternating current-direct current hybrid power grid Download PDF

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CN113659576B
CN113659576B CN202111223817.1A CN202111223817A CN113659576B CN 113659576 B CN113659576 B CN 113659576B CN 202111223817 A CN202111223817 A CN 202111223817A CN 113659576 B CN113659576 B CN 113659576B
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曾丹
冯树海
杨争林
郑亚先
石飞
郑恒峰
程海花
杨辰星
黄文渊
史新红
薛必克
张旭
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China Electric Power Research Institute Co Ltd CEPRI
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Abstract

The invention belongs to the field of electric power automation, and discloses a method, a device, equipment and a medium for cross-regional interaction under an alternating current-direct current hybrid power grid; the method comprises the following steps: receiving a cross-regional interactive data request under an alternating current-direct current hybrid power grid; acquiring an alternating current-direct current hybrid full-network model of a cross-regional power market, and power generation quotation information of each power generation side interaction entity and power purchase quotation information of each power purchase side interaction entity in the cross-regional power market; and calling constraint conditions to solve a pre-established cross-region interactive data processing model, and obtaining and outputting a cross-region interactive data processing result under the AC-DC hybrid power grid. Three types of key information of an alternating current-direct current hybrid power grid model are extracted; an AC/DC network decoupling processing method is provided, and constraints are established; the method aims at maximizing the objective function calculated by the cross-regional interactive data processing model, and realizes effective clearing of large-scale centralized bidding in the cross-regional market.

Description

Cross-region interaction method, device, equipment and medium under alternating current-direct current hybrid power grid
Technical Field
The invention belongs to the field of electric power automation, and particularly relates to a method, a device, equipment and a medium for cross-regional interaction of an alternating-current and direct-current hybrid power grid.
Background
The current cross-regional market trading is to specify a power transmission channel path and power transmission capacity on the basis of planning power, develop part of point-to-point and point-to-network provincial trades, each province takes the province as an entity to develop power trading, and the provincial market is loose. The cross-region market is developed from the existing point-to-point electric quantity transaction without safety constraint to the electric power transaction with the whole network centralized bidding and the transmission channel constraint considered, so that the large-range optimized configuration of electric power resources is realized as the most fundamental problem for building the unified electric power market, wherein the calculation of the clearing amount of the cross-region transaction is the core problem to be solved.
The document [1] proposes a cross-region and cross-province trading path optimization method based on an extended network flow method so as to realize cross-region and cross-province electric quantity centralized trading. The network flow theory is introduced into the medium and long term trans-regional trans-provincial electricity quantity trading path optimization, and a traditional network flow optimization model and an expanded network flow optimization model are respectively established. The maximum objective function of the model calculated by a cross-region interactive data processing model is the target, and constraints such as transmission channel capacity limitation and transmission network loss of multi-party transfer are considered. And in the calculation process, a transaction path meeting the relevant constraint conditions can be automatically searched, and transaction electric quantity is arranged as much as possible on the power transmission channel with the largest price difference of electricity purchase and sale after considering network loss, so that the requirement of electricity purchase and sale declaration is met as much as possible. The method can solve the problem of path optimization and the problem of concurrence of various trading components under a complex power grid structure, and can form a complete trading path.
The cross-region and cross-provincial transaction path optimization method based on the network flow expanding method can provide powerful technical support for domestic multi-buying and multi-selling cross-region and cross-provincial large-user direct electricity purchase transaction. However, depending on the unified planning of the power grid, the scale of the extra-high voltage alternating current/direct current backbone grid structure is further expanded, and meanwhile, the development of the national unified power market inevitably organizes larger-scale transactions in the provincial market in the future. At present, about thousands of conventional power generator units of 220kV and above in the whole country are provided, about tens of thousands of equivalent load nodes are provided, and about tens of thousands of key safety sections in provincial and provincial regions are provided with dozens of established cross-regional direct current channels. Assuming that a power generation side and a load side are simultaneously released, 5000 + 10000 interactive entities participate in inter-provincial market transaction, the number of decision variables is huge, taking medium-long term monthly transaction as an example, 24 time periods in 30 days is optimized and cleared, 2000 × 24 × 30=144 ten thousand decision variables are estimated, constraint conditions such as network safety, power generation operation, interactive entity quotation and the like are considered, the number of inequality constraint conditions is millions, and the calculation difficulty of centralized bidding optimization clearing is huge.
[1] Chenghai flower, Zhengyashi, Gunn construction, Wu culvert, Tanghong sea, Lvqiaozhen, Cross-regional and Cross-province transaction Path optimization based on the method of expanding network flow [ J ]. electric power system automation, 2016,40(09):129 + 134.
Disclosure of Invention
The invention aims to provide a method, a device, equipment and a medium for cross-region interaction under an alternating current-direct current hybrid power grid so as to solve the technical problems of large scale of optimization clearing calculation and huge solving difficulty of centralized bidding.
In order to achieve the purpose, the invention adopts the following technical scheme:
in a first aspect, the invention provides a cross-regional interaction method under an alternating current-direct current hybrid power grid, which comprises the following steps:
receiving a cross-regional interactive data processing request under an AC/DC hybrid power grid, and requesting for market clearing;
acquiring an alternating current-direct current hybrid full-network model of a cross-regional power market, and power generation quotation information of each power generation side interaction entity and power purchase quotation information of each power purchase side interaction entity in the cross-regional power market;
based on an alternating current-direct current hybrid whole network model of a cross-regional power market, power generation quotation information of each power generation side interaction entity and power purchase quotation information of each power purchase side interaction entity in the cross-regional power market, calling a constraint condition to solve a pre-established cross-regional interaction data processing model to obtain a cross-regional interaction data processing result under the alternating current-direct current hybrid power network;
and outputting a cross-regional interactive data processing result under the alternating current-direct current hybrid power grid.
The invention further improves the following steps: in the step of calling the constraint condition to solve the pre-established cross-region interactive data processing model, the cross-region interactive data processing model is as follows:
Figure DEST_PATH_IMAGE001
wherein,
Figure DEST_PATH_IMAGE002
Figure DEST_PATH_IMAGE003
in the formula,Frepresenting an objective function calculated by a cross-regional interactive data processing model,
Figure DEST_PATH_IMAGE004
for the total power purchase quotation of the power purchase side interaction entity in the cross-regional power market, the quotation of newly-increased power purchase quantity of the power purchase side interaction entity pur in the time period t is S: (pur,t)，S(pur,l,t) Interaction entity for electricity purchasing sidepurIn the t periodlElectricity purchase price, Δ X, corresponding to load amount of segment lli (pur,l,t) Interaction entity for electricity purchasing sidepurIn the t periodlThe load amount adjustment of the segment;
Figure DEST_PATH_IMAGE005
for the total power generation quotation of the power generation side interaction entity in the cross-regional power market, the power generation side interaction entitygenThe price of newly increased power generation amount in the t period isC(gen,t)，C(gen,l,t) For the mutual entities at the power generation sidegenIn the t periodlPower generation quotation corresponding to the power generation amount of the segment, ΔX pli (gen,l,t) For the mutual entities at the power generation sidegenIn the t periodlThe amount of adjustment of the generated energy of the segment; Tnumber of time periods during which the system is scheduled;PURthe total number of interaction entities at the electricity purchasing side;GENthe total number of the interaction entities at the power generation side; the power generation quotation information of the power generation side interaction entity comprises: in the system scheduling period T, generating quotations and generating capacity adjustment quantities corresponding to the generating capacity of all the generating side interaction entities in each period of time; the electricity purchasing quotation information of the electricity purchasing side interaction entity comprises the following steps: and in the system scheduling period T, all the power purchasing side interaction entities purchase the power price and the load quantity adjustment quantity corresponding to the power purchasing quantity of each section in each period.
The invention further improves the following steps: in the step of calling the constraint condition to solve the pre-established cross-region interaction data processing model, the constraint condition comprises:
1) inter-area DC link transport capacity constraints
Figure DEST_PATH_IMAGE006
In the formula,
Figure DEST_PATH_IMAGE007
indicating that the direct current connecting line d-c increases the transmission power in the t period,
Figure DEST_PATH_IMAGE008
representing the power delivery flow direction of the dc link d-c,
Figure DEST_PATH_IMAGE009
representing d-c forward power flow;
Figure DEST_PATH_IMAGE010
representing the reverse power flow of d-c,
Figure DEST_PATH_IMAGE011
representing the available transport capacity of the direct current link d-c during the period t;
2) regional DC tie line and AC model coupling constraints
Figure DEST_PATH_IMAGE012
In the formula, deltaP(G d ,t) Represents the amount of adjustment of the generated output from the direct current transmission side in the period t, DeltaP load (L c ,t) The method comprises the steps of representing the power purchase demand adjustment quantity of a direct current receiving end at a power purchase side in a time period t;
3) inter-regional AC link transport capacity constraints
Figure DEST_PATH_IMAGE013
In the formula,
Figure DEST_PATH_IMAGE014
representing the available transport capacity of the ac link i-j during time t; deltaP(gen,t) Represents the generated output adjustment quantity delta of the interactive entity gen at the generating side in the t periodP load (pur,t) The load electricity utilization adjustment quantity of the electricity purchasing side interaction entity pur in the time period t is represented,
Figure DEST_PATH_IMAGE015
representing the sensitivity of the generator side interaction entity gen to the ac link i-j,
Figure DEST_PATH_IMAGE016
representing the sensitivity of the interaction entity pur at the power purchase side to the AC tie i-j;
4) safety restraint of easily blocked sections in each zone
Figure DEST_PATH_IMAGE017
In the formula,P qw,0 representing the initial power flow of the critical section q-w in the t-period province,P qw,max representing the power flow upper limit of the intra-provincial key section q-w;
Figure DEST_PATH_IMAGE018
representing the sensitivity of the power generation side interaction entity gen to the intra-provincial critical section q-w,
Figure DEST_PATH_IMAGE019
representing the sensitivity of an interaction entity pur at the electricity purchasing side to a key section q-w in the province;
5) zone balancing constraints
Figure DEST_PATH_IMAGE020
In the formula, deltaZ power (gen,t) Represents the total output of all the power generation side interaction entities gen in the region of the t periodZ load (pur,t) Represents the total power purchase demand, Delta, of all the power purchase side interaction entities pur in the sub-region of the t periodZ loss (t) Representing the network loss in the sub-domain during the period t.
The invention further improves the following steps: in the step of calling the constraint condition to solve the pre-established cross-region interaction data processing model, the constraint condition further includes:
6) system operational balance constraints
Figure DEST_PATH_IMAGE021
Figure DEST_PATH_IMAGE022
Figure DEST_PATH_IMAGE023
In the formula, deltaP loss (t) Representing the network loss generated by newly adding transactions on the basis of the original power generation plan at the t time period of the transaction day;
7) upper and lower limits of output power of power generation side
Figure DEST_PATH_IMAGE024
In the formula,P gen,max 、P gen,min respectively representing the upper limit and the lower limit of the output power of the generator side interaction entity gen,P 0 (gen,t) Generating output of an authorized contract decomposition curve of a medium-long term power generation side interaction entity gen in a t period;
8) load rate constraint of power generation side adding and reducing
Figure DEST_PATH_IMAGE025
In the formula, delta i The maximum value of the output can be added and subtracted for the power generation side interaction entity gen in each time period.
The invention further improves the following steps: in the step of obtaining the alternating current and direct current hybrid full network model of the cross-regional power market and the power generation quotation information and the power purchase quotation information of each interactive entity, the alternating current and direct current hybrid full network model comprises three types of key information: the method comprises the following steps of (1) a physical model of a key node, a physical model of a key section and a sensitivity parameter of the node to the key section;
wherein, the key node includes: the system comprises a cross-regional power market, a plurality of regional power units and a plurality of direct current tie lines, wherein the cross-regional power market is internally provided with a plurality of direct current tie lines;
the key section comprises: safety constraint of direct current sections and alternating current sections among all regions and easily blocked sections in each region;
the sensitivity of the nodes to the key sections is a scheduling parameter calculated based on all key nodes, all key sections and the network operation mode.
In a second aspect, the present invention provides an inter-regional interaction device under an ac/dc hybrid power grid, including:
the receiving module is used for receiving a cross-regional interactive data processing request under the AC/DC hybrid power grid and requesting for market clearing;
the system comprises an acquisition module, a power supply module and a power supply module, wherein the acquisition module is used for acquiring an alternating current-direct current hybrid full-network model of a cross-regional power market, and power generation quotation information of each power generation side interaction entity and power purchase quotation information of each power purchase side interaction entity in the cross-regional power market;
the clearing module is used for calling a constraint condition to solve a pre-established cross-regional interactive data processing model based on an alternating current and direct current hybrid whole network model of a cross-regional power market, and power generation quotation information of each power generation side interactive entity and power purchase quotation information of each power purchase side interactive entity in the cross-regional power market, so as to obtain a cross-regional interactive data processing result under the alternating current and direct current hybrid power network;
and the output module is used for outputting the cross-regional interactive data processing result under the alternating current-direct current hybrid power grid.
The invention further improves the following steps: in the clearing module, the cross-region interactive data processing model is as follows:
Figure 202618DEST_PATH_IMAGE001
wherein,
Figure 713234DEST_PATH_IMAGE002
Figure 961812DEST_PATH_IMAGE003
in the formula,Frepresenting an objective function calculated by a cross-regional interactive data processing model,
Figure DEST_PATH_IMAGE026
newly increasing the purchase electric quantity for the total purchase electric price of the power purchase side interaction entity in the cross-regional electric power market and the power purchase side interaction entity pur in the t periodIs S: (pur,t)，S(pur,l,t) Interaction entity for electricity purchasing sidepurIn the t periodlElectricity purchase price, Δ X, corresponding to load amount of segment lli (pur,l,t) Interaction entity for electricity purchasing sidepurIn the t periodlThe load amount adjustment of the segment;
Figure DEST_PATH_IMAGE027
for the total power generation quotation of the power generation side interaction entity in the cross-regional power market, the power generation side interaction entitygenThe price of newly increased power generation amount in the t period isC(gen,t)，C(gen,l,t) For the mutual entities at the power generation sidegenIn the t periodlPower generation quotation corresponding to the power generation amount of the segment, ΔX pli (gen,l,t) For the mutual entities at the power generation sidegenIn the t periodlThe amount of adjustment of the generated energy of the segment;Tnumber of time periods during which the system is scheduled;PURthe total number of interaction entities at the electricity purchasing side;GENis the total number of interacting entities on the power generation side.
The invention further improves the following steps: in the purge module, the constraint condition includes:
1) inter-area DC link transport capacity constraints
Figure 747235DEST_PATH_IMAGE006
In the formula,
Figure 155082DEST_PATH_IMAGE007
indicating that the direct current connecting line d-c increases the transmission power in the t period,
Figure 180807DEST_PATH_IMAGE008
representing the power delivery flow direction of the dc link d-c,
Figure 41316DEST_PATH_IMAGE009
representing d-c forward power flow;
Figure 709057DEST_PATH_IMAGE010
to representThe direction of the power flow of the d-c is reversed,
Figure 705832DEST_PATH_IMAGE011
representing the available transport capacity of the direct current link d-c during the period t;
2) regional DC tie line and AC model coupling constraints
Figure 292671DEST_PATH_IMAGE012
In the formula, deltaP(G d ,t) Represents the amount of adjustment of the generated output from the direct current transmission side in the period t, DeltaP load (L c ,t) The method comprises the steps of representing the power purchase demand adjustment quantity of a direct current receiving end at a power purchase side in a time period t;
3) inter-regional AC link transport capacity constraints
Figure 515842DEST_PATH_IMAGE013
In the formula,
Figure 580750DEST_PATH_IMAGE014
representing the available transport capacity of the ac link i-j during time t; deltaP(gen,t) Represents the generated output adjustment quantity delta of the interactive entity gen at the generating side in the t periodP load (pur,t) The load electricity utilization adjustment quantity of the electricity purchasing side interaction entity pur in the time period t is represented,
Figure 572977DEST_PATH_IMAGE015
representing the sensitivity of the generator side interaction entity gen to the ac link i-j,
Figure 330717DEST_PATH_IMAGE016
representing the sensitivity of the interaction entity pur at the power purchase side to the AC tie i-j;
4) safety restraint of easily blocked sections in each zone
Figure 165818DEST_PATH_IMAGE017
In the formula,P qw,0 representing the initial power flow of the critical section q-w in the t-period province,P qw,max representing the power flow upper limit of the intra-provincial key section q-w;
Figure 909783DEST_PATH_IMAGE018
representing the sensitivity of the power generation side interaction entity gen to the intra-provincial critical section q-w,
Figure 146730DEST_PATH_IMAGE019
representing the sensitivity of an interaction entity pur at the electricity purchasing side to a key section q-w in the province;
5) zone balancing constraints
Figure 950738DEST_PATH_IMAGE020
In the formula, deltaZ power (gen,t) Represents the total output of all the power generation side interaction entities gen in the region of the t periodZ load (pur,t) Represents the total power purchase demand, Delta, of all the power purchase side interaction entities pur in the sub-region of the t periodZ loss (t) Representing the network loss in the sub-domain during the period t.
The invention further improves the following steps: in the purge module, the constraint condition further includes:
6) system operational balance constraints
Figure 7555DEST_PATH_IMAGE021
Figure 414266DEST_PATH_IMAGE022
Figure 115506DEST_PATH_IMAGE023
In the formula, deltaP loss (t) Representing the network loss generated by newly adding transactions on the basis of the original power generation plan at the t time period of the transaction day;
7) upper and lower limits of output power of power generation side
Figure 215049DEST_PATH_IMAGE024
In the formula,P gen,max 、P gen,min respectively representing the upper limit and the lower limit of the output power of the generator side interaction entity gen,P 0 (gen,t) Generating output of an authorized contract decomposition curve of a medium-long term power generation side interaction entity gen in a t period;
8) load rate constraint of power generation side adding and reducing
Figure 759162DEST_PATH_IMAGE025
In the formula, delta i The maximum value of the output can be added and subtracted for the power generation side interaction entity gen in each time period.
The invention further improves the following steps: in the acquisition module, the alternating current-direct current hybrid full network model comprises three types of key information: the method comprises the following steps of (1) a physical model of a key node, a physical model of a key section and a sensitivity parameter of the node to the key section; wherein, the key node includes: the system comprises a direct current connecting line, nodes where each provincial generator set is located and single or multiple virtual load nodes formed by aggregating each provincial load; the key section comprises: all inter-provincial direct current sections, alternating current sections and inter-provincial transaction cause intra-provincial blocked alternating current sections; the sensitivity of the node to the key section is a scheduling parameter calculated based on key node information, key section information and a network operation mode. The physical models of the end points, the nodes and the alternating end faces comprise names, physical characteristics, identifications and position information of the end points, the nodes and the alternating end faces.
Compared with the prior art, the invention has the following beneficial effects:
the invention provides a cross-regional interaction method under an alternating current-direct current hybrid power grid, which is used for acquiring an alternating current-direct current hybrid full-network model of a cross-regional power market and power generation quotation information and power purchase quotation information of each interaction entity; and establishing constraint conditions, establishing a cross-region interactive data processing model with a target function calculated by the cross-region interactive data processing model maximized as a target, and then obtaining a final clearing result through optimization calculation to realize effective clearing of large-scale centralized bidding in the cross-region market. The cross-region interactive data processing model provided by the method solves the problem of clear calculation of cross-region and cross-provincial market centralized bidding transaction under the complex structure of the alternating current-direct current hybrid power grid, is beneficial to exerting the optimal allocation effect of market resources to the maximum extent, effectively promotes the advantage complementation of inter-region power generation resources, fully exerts the conveying capacity of the extra-high voltage alternating current-direct current channel, effectively avoids resource waste and reduces the power generation and utilization cost to a certain extent.
Further, the invention extracts three types of key information of the AC/DC hybrid power grid model: the method comprises the steps of establishing inter-area direct-current tie line transmission capacity constraint, coupling constraint of an area direct-current tie line and an alternating-current model, inter-area alternating-current tie line transmission capacity constraint, easily-blocked cross section safety constraint in each area, establishing intra-provincial coupled sub-area balance constraint based on alternating-current and direct-current power grid decoupling, considering system operation balance constraint, upper and lower power output limit constraint on a power generation side, load adding and load reducing rate constraint on the power generation side, establishing a cross-area market concentrated bidding trading clearing model taking a target function calculated by a cross-area interactive data processing model as a target to be maximized, and obtaining a final clearing result through optimization calculation.
Furthermore, by the method, the problem of cross-regional market centralized bidding transaction clearing calculation under the complex structure of the alternating current-direct current hybrid power grid is solved, the optimal allocation effect of market resources is brought into play to the maximum extent, the advantage complementation of power generation resources among regions is effectively promoted, the conveying capacity of the extra-high voltage alternating current-direct current channel is fully exerted, the resource waste is effectively avoided, and the power generation and utilization cost is reduced to a certain extent.
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The accompanying drawings, which are incorporated in and constitute a part of this specification, are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification, illustrate exemplary embodiments of the invention and together with the description serve to explain the invention and not to limit the invention. In the drawings:
FIG. 1 is a cross-regional market exchange organization framework;
FIG. 2 is a schematic flow chart of a cross-regional interaction method under the AC/DC hybrid power grid of the present invention;
FIG. 3 is a block diagram of a cross-regional interaction device under the AC/DC hybrid power grid of the present invention;
fig. 4 is a block diagram of an electronic device according to the present invention.
Detailed Description
The present invention will be described in detail below with reference to the embodiments with reference to the attached drawings. It should be noted that the embodiments and features of the embodiments may be combined with each other without conflict.
The following detailed description is exemplary in nature and is intended to provide further details of the invention. Unless otherwise defined, all technical terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the invention.
The invention provides a method, a device, equipment and a medium for cross-regional interaction under an alternating current-direct current hybrid power grid. In the national unified power market construction scheme, the inter-provincial market is definitely provided to meet the requirements of large-scale power generation and power utilization optimization, and the capability of realizing power resource optimal allocation in the inter-provincial market is fully exerted. The cross-regional market develops from the existing point-to-point and safety-constraint-free electricity quantity transaction to the electricity transaction with centralized bidding in the whole network and considering the constraint of a power transmission channel. The trans-region in the invention comprises trans-provincial intervals. The invention extracts three types of key information of an AC/DC hybrid power grid model: the method comprises the following steps of (1) a physical model of a key node, a physical model of a key section and a sensitivity parameter of the node to the key section; establishing a full network safety constraint set considering cross-regional direct current tie line conveying capacity constraint, inter-provincial alternating current section safety constraint and intra-provincial easy-to-block section safety constraint, establishing intra-provincial coupled subarea balance constraint, and the like; the method aims at maximizing the objective function calculated by the cross-regional interactive data processing model, and realizes effective clearing of large-scale centralized bidding in the cross-regional market.
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The subarea is an alternating-current interconnected power grid, and the subarea is set manually and can be divided into parts, provinces or other geographical areas. Taking province as an example, introducing the organization structure of the cross-regional interaction entities; the organizational framework of the cross-domain interaction entity of the present invention is shown in FIG. 1. The alternating current-direct current series-parallel connection full network model comprises key node information, key section information and node sensitivity information of the key section, wherein the key node comprises: the system comprises a single or a plurality of virtual load nodes, wherein the single or the plurality of virtual load nodes are formed by aggregating end points at two ends of a direct current tie line, nodes where each provincial generator set is located and each provincial load; the key section comprises: all inter-provincial direct current end faces, alternating current sections and inter-provincial transaction cause intra-provincial blocked alternating current sections; the sensitivity information of the node to the key section is a scheduling parameter calculated based on the two types of information and the network operation mode. And the physical models of the end points, the nodes and the alternating end faces comprise names, physical characteristics, identifications and position information of the end points, the nodes and the alternating end faces. The generator set quotation information and the load aggregation node electricity purchasing quotation information of each region are segmented (5-segment or 10-segment) electricity quotation curves with time scales. The cross-regional market organizes transactions on a cross-regional and cross-provincial transaction platform by taking the maximization of a target function calculated by a cross-regional interactive data processing model as a target; wherein the winning bid condition refers to winning bid amount and corresponding clearing price.
The structure of the cross-region interaction device under the alternating current-direct current hybrid power grid is shown in the attached figure 3. (1) The receiving module is used for receiving a cross-regional interactive data request under the AC/DC hybrid power grid; (2) the system comprises an acquisition module, a power supply module and a power supply module, wherein the acquisition module is used for acquiring an alternating current-direct current hybrid full network model of a cross-regional power market, and power generation quotation information of each power generation side interaction entity and power purchase quotation information of each power purchase side interaction entity in the cross-regional power market; (3) the clearing module is used for calling the constraint, taking the maximization of an objective function calculated by the cross-region interactive data processing model as an objective, and solving and calculating a cross-region market optimization model; (4) and the clearing result generating module is used for outputting the cross-regional market centralized bidding optimized clearing result.
The invention provides an effective data interaction method for cross-regional markets, which is characterized in that the effective data interaction method is a whole-network centralized bidding method and takes power transmission channel constraints into consideration, so that large-scale optimal allocation of power resources in national unified power markets is realized.
Example 1
Referring to fig. 2, the present invention provides a method for cross-regional interaction in an ac/dc hybrid power grid, including the following steps:
s11, receiving a cross-regional interactive data request under the AC/DC hybrid power grid, wherein the interactive data request is used for starting interactive entities of cross-regional areas under the AC/DC hybrid power grid to carry out data interaction;
s12, acquiring an alternating current-direct current hybrid full-network model of a cross-regional power market, and power generation quotation information of each power generation side interaction entity and power purchase quotation information of each power purchase side interaction entity in the cross-regional power market;
the alternating current-direct current hybrid full network model comprises three types of key information: the method comprises the following steps of (1) a physical model of a key node, a physical model of a key section and a sensitivity parameter of the node to the key section; wherein, the key node includes: the system comprises a direct current connecting line, nodes where each provincial generator set is located and single or multiple virtual load nodes formed by aggregating each provincial load; the key section comprises: all inter-provincial direct current and alternating current sections and inter-provincial transaction cause intra-provincial blocked alternating current sections; the sensitivity of the node to the key section is a scheduling parameter calculated based on key node information, key section information and a network operation mode. The power generation quotation information and the power purchase quotation information of each interaction entity are segmented (5-segment or 10-segment) power quotation curves with time scales.
S13, based on an alternating current and direct current hybrid whole network model of a cross-regional power market, power generation quotation information of each power generation side interaction entity and power purchase quotation information of each power purchase side interaction entity in the cross-regional power market, calling a constraint condition to solve a pre-established cross-regional interaction data processing model, and obtaining a cross-regional interaction data processing result under the alternating current and direct current hybrid power network;
the cross-region interaction data processing model comprises the following steps:
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wherein,
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Figure 467858DEST_PATH_IMAGE003
in the formula,Frepresenting an objective function calculated by a cross-regional interactive data processing model,
Figure 233689DEST_PATH_IMAGE004
is that it isThe total power purchase price of the power purchase side interaction entity in the cross-regional power market is S (the price of the newly-increased power purchase quantity of the power purchase side interaction entity pur in the time period t)pur,t)，S(pur,l,t) Interaction entity for electricity purchasing sidepurIn the t periodlElectricity purchase price, Δ X, corresponding to load amount of segment lli (pur,l,t) Interaction entity for electricity purchasing sidepurIn the t periodlThe load amount adjustment of the segment;
Figure 123148DEST_PATH_IMAGE005
for the total power generation quotation of the power generation side interaction entity in the cross-regional power market, the power generation side interaction entitygenThe price of newly increased power generation amount in the t period isC(gen,t)，C(gen,l,t) For the mutual entities at the power generation sidegenIn the t periodlPower generation quotation corresponding to the power generation amount of the segment, ΔX pli (gen,l,t) For the mutual entities at the power generation sidegenIn the t periodlThe amount of adjustment of the generated energy of the segment;Tnumber of time periods during which the system is scheduled;PURthe total number of interaction entities at the electricity purchasing side;GENis the total number of interacting entities on the power generation side.T、PURAndGENare known pre-acquired parameters.
The time period number T is the total number of 96 or 24 time periods divided by one transaction day; the time period t refers to the t-th time period, 3 o 'clock, 6 o' clock … …
The constraint conditions include:
1) inter-area DC link transport capacity constraints
Figure 923613DEST_PATH_IMAGE006
In the formula,
Figure 364959DEST_PATH_IMAGE007
indicating that the direct current connecting line d-c increases the transmission power in the t period,
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representing the power delivery flow direction of the dc link d-c,
Figure 576815DEST_PATH_IMAGE009
representing d-c forward power flow;
Figure 107153DEST_PATH_IMAGE010
representing the reverse power flow of d-c,
Figure 719400DEST_PATH_IMAGE011
representing the available transport capacity of the direct current link d-c during the period t;
2) regional DC tie line and AC model coupling constraints
Figure 725402DEST_PATH_IMAGE012
In the formula, deltaP(G d ,t) Represents the amount of adjustment of the generated output from the direct current transmission side in the period t, DeltaP load (L c ,t) The method comprises the steps of representing the power purchase demand adjustment quantity of a direct current receiving end at a power purchase side in a time period t; the power generation side direct current transmitting end and the power purchase side direct current receiving end refer to nodes at two ends of the regional direct current connecting line;
3) inter-regional AC link transport capacity constraints
Figure 222243DEST_PATH_IMAGE013
In the formula,
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representing the available transport capacity of the ac link i-j during time t; deltaP(gen,t) Represents the generated output adjustment quantity delta of the interactive entity gen at the generating side in the t periodP load (pur,t) The load electricity utilization adjustment quantity of the electricity purchasing side interaction entity pur in the time period t is represented,
Figure 655815DEST_PATH_IMAGE015
representing the communication of the generator side interaction entity gen to the ACThe sensitivity of the line i-j,
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representing the sensitivity of the interaction entity pur at the power purchase side to the AC tie i-j;
4) safety restraint of easily blocked sections in each zone
Figure 918486DEST_PATH_IMAGE017
In the formula,P qw,0 representing the initial power flow of the critical section q-w in the t-period province,P qw,max representing the power flow upper limit of the intra-provincial key section q-w;
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representing the sensitivity of the power generation side interaction entity gen to the intra-provincial critical section q-w,
Figure 643046DEST_PATH_IMAGE019
representing the sensitivity of an interaction entity pur at the electricity purchasing side to a key section q-w in the province;
5) zone balancing constraints
Figure 623640DEST_PATH_IMAGE020
In the formula, deltaZ power (gen,t) Represents the total output of all the power generation side interaction entities gen in the region of the t periodZ load (pur,t) Represents the total power purchase demand, Delta, of all the power purchase side interaction entities pur in the sub-region of the t periodZ loss (t) Representing the network loss in the sub-domain in the period t;
6) system operational balance constraints
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Figure 680775DEST_PATH_IMAGE022
Figure 71305DEST_PATH_IMAGE023
In the formula, deltaP loss (t) Representing the network loss generated by newly adding transactions on the basis of the original power generation plan at the t time period of the transaction day;
7) upper and lower limits of output power of power generation side
Figure 148982DEST_PATH_IMAGE024
In the formula,P gen,max 、P gen,min respectively representing the upper limit and the lower limit of the output power of the generator side interaction entity gen,P 0 (gen,t) Generating output of an authorized contract decomposition curve of a medium-long term power generation side interaction entity gen in a t period;
the invention can call constraint conditions through a computer, solve the cross-region interactive data processing model:
Figure DEST_PATH_IMAGE028
and S14, outputting a cross-regional interactive data processing result under the alternating current-direct current hybrid power grid.
Example 2
Referring to fig. 3, the present embodiment provides an ac/dc hybrid power grid cross-region interaction apparatus, including:
the receiving module is used for receiving a cross-regional interactive data request under the AC/DC hybrid power grid, wherein the interactive data request is used for starting interactive entities of cross-regional areas under the AC/DC hybrid power grid to perform data interaction;
the system comprises an acquisition module, a power supply module and a power supply module, wherein the acquisition module is used for acquiring an alternating current-direct current hybrid full-network model of a cross-regional power market, and power generation quotation information of each power generation side interaction entity and power purchase quotation information of each power purchase side interaction entity in the cross-regional power market;
the clearing module is used for calling a constraint condition to solve a pre-established cross-regional interactive data processing model based on an alternating current and direct current hybrid whole network model of a cross-regional power market, and power generation quotation information of each power generation side interactive entity and power purchase quotation information of each power purchase side interactive entity in the cross-regional power market, so as to obtain a cross-regional interactive data processing result under the alternating current and direct current hybrid power network;
and the output module is used for outputting the cross-regional interactive data processing result under the alternating current-direct current hybrid power grid.
In the acquisition module, the alternating current-direct current hybrid full network model comprises three types of key information: the physical model of the key node, the physical model of the key section and the sensitivity of the node to the key section;
wherein, the key node includes: the system comprises a cross-regional power market, a plurality of regional power units and a plurality of direct current tie lines, wherein the cross-regional power market is internally provided with a plurality of direct current tie lines;
the key section comprises: safety constraint of direct current sections and alternating current sections among all regions and easily blocked sections in each region;
the sensitivity of the nodes to the key sections is a scheduling parameter calculated based on all key nodes, all key sections and the network operation mode.
Wherein, the cross-region interactive data processing model is as follows:
Figure 384791DEST_PATH_IMAGE001
wherein,
Figure 988948DEST_PATH_IMAGE002
Figure 425746DEST_PATH_IMAGE003
in the formula,Frepresenting an objective function calculated by a cross-regional interactive data processing model,
Figure 115353DEST_PATH_IMAGE004
for the total power purchase quotation of the power purchase side interaction entity in the cross-regional power market, the quotation of newly-increased power purchase quantity of the power purchase side interaction entity pur in the time period t is S: (pur,t)，S(pur,l,t) Interaction entity for electricity purchasing sidepurIn the t periodlElectricity purchase price quoted price, delta X, corresponding to segment load amount lli (pur,l,t) Interaction entity for electricity purchasing sidepurIn the t periodlThe load amount adjustment of the segment;
Figure 295799DEST_PATH_IMAGE005
for the total power generation quotation of the power generation side interaction entity in the cross-regional power market, the power generation side interaction entitygenThe price of newly increased power generation amount in the t period isC(gen,t)，C(gen,l,t) For the mutual entities at the power generation sidegenIn the t periodlPower generation quotation corresponding to the segment power generation amount, deltaX pli (gen,l,t) For the mutual entities at the power generation sidegenIn the t periodlThe amount of adjustment of the generated energy of the segment;Tnumber of time periods during which the system is scheduled;PURthe total number of interaction entities at the electricity purchasing side;GENis the total number of interacting entities on the power generation side.T、PURAndGENare known pre-acquired parameters.
In the purge module, the constraint condition includes:
1) inter-area DC link transport capacity constraints
Figure 754462DEST_PATH_IMAGE006
In the formula,
Figure 362161DEST_PATH_IMAGE007
indicating that the direct current connecting line d-c increases the transmission power in the t period,
Figure 539064DEST_PATH_IMAGE008
representing the power delivery flow direction of the dc link d-c,
Figure 257621DEST_PATH_IMAGE009
representing d-c forward power flow;
Figure 836370DEST_PATH_IMAGE010
representing the reverse power flow of d-c,
Figure 349391DEST_PATH_IMAGE011
representing the available transport capacity of the direct current link d-c during the period t;
2) regional DC tie line and AC model coupling constraints
Figure 13591DEST_PATH_IMAGE012
In the formula, deltaP(G d ,t) Represents the amount of adjustment of the generated output from the direct current transmission side in the period t, DeltaP load (L c ,t) The method comprises the steps of representing the power purchase demand adjustment quantity of a direct current receiving end at a power purchase side in a time period t;
3) inter-regional AC link transport capacity constraints
Figure DEST_PATH_IMAGE029
In the formula,
Figure 863735DEST_PATH_IMAGE014
representing the available transport capacity of the ac link i-j during time t; deltaP(gen,t) Represents the generated output adjustment quantity delta of the interactive entity gen at the generating side in the t periodP load (pur,t) The load electricity utilization adjustment quantity of the electricity purchasing side interaction entity pur in the time period t is represented,
Figure 31411DEST_PATH_IMAGE015
representing the sensitivity of the generator side interaction entity gen to the ac link i-j,
Figure 980913DEST_PATH_IMAGE016
representing the sensitivity of the interaction entity pur at the power purchase side to the AC tie i-j;
4) safety restraint of easily blocked sections in each zone
Figure DEST_PATH_IMAGE030
In the formula,P qw,0 representing the initial power flow of the critical section q-w in the t-period province,P qw,max representing the power flow upper limit of the intra-provincial key section q-w;
Figure 194725DEST_PATH_IMAGE018
representing the sensitivity of the power generation side interaction entity gen to the intra-provincial critical section q-w,
Figure 520664DEST_PATH_IMAGE019
representing the sensitivity of an interaction entity pur at the electricity purchasing side to a key section q-w in the province;
5) zone balancing constraints
Figure 808426DEST_PATH_IMAGE020
In the formula, deltaZ power (gen,t) Represents the total output adjustment quantity delta of all the power generation side interaction entities gen in the time interval zoneZ load (pur,t) Represents the total power purchase demand adjustment quantity delta of all power purchase side interaction entities pur in the time period t zoneZ loss (t) Representing the network loss in the sub-domain in the period t;
6) system operational balance constraints
Figure 256725DEST_PATH_IMAGE021
Figure 364358DEST_PATH_IMAGE022
Figure 290726DEST_PATH_IMAGE023
In the formula, deltaP loss (t) Representing the network loss generated by newly adding transactions on the basis of the original power generation plan at the t time period of the transaction day;
7) upper and lower limits of output power of power generation side
Figure DEST_PATH_IMAGE031
In the formula,P gen,max 、P gen,min respectively representing the upper limit and the lower limit of the output power of the generator side interaction entity gen,P 0 (gen,t) And decomposing the power generation output of the curve at the t period for the authorized contract of the medium-long term power generation side interaction entity gen.
Example 3
Referring to fig. 4, the present invention further provides an electronic device 100 for a cross-region interaction method under an ac/dc hybrid power grid; the electronic device 100 comprises a memory 101, at least one processor 102, a computer program 103 stored in the memory 101 and executable on the at least one processor 102, and at least one communication bus 104.
The memory 101 may be configured to store the computer program 103, and the processor 102 implements the method steps of the method for cross-regional interaction under the ac/dc hybrid network according to any one of embodiments 1 to 2 by running or executing the computer program stored in the memory 101 and calling the data stored in the memory 101. The memory 101 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data) created according to the use of the electronic apparatus 100, and the like. In addition, the memory 101 may include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other non-volatile solid state storage device.
The at least one Processor 102 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. The processor 102 may be a microprocessor or the processor 102 may be any conventional processor or the like, and the processor 102 is a control center of the electronic device 100 and connects various parts of the whole electronic device 100 by various interfaces and lines.
The memory 101 in the electronic device 100 stores a plurality of instructions to implement a method for cross-regional interaction in an ac/dc hybrid network, and the processor 102 can execute the plurality of instructions to implement:
receiving a cross-regional interactive data request under an AC/DC hybrid power grid, wherein the interactive data request is used for starting interactive entities of the cross-regional under the AC/DC hybrid power grid to perform data interaction;
acquiring an alternating current-direct current hybrid full-network model of a cross-regional power market and power generation quotation information and power purchase quotation information of each interactive entity;
based on an alternating current-direct current hybrid whole network model of a cross-regional power market and power generation quotation information and power purchase quotation information of each interactive entity, calling constraint conditions to solve a pre-established cross-regional interactive data processing model to obtain a cross-regional interactive data processing result under the alternating current-direct current hybrid power grid;
and outputting a cross-regional interactive data processing result under the alternating current-direct current hybrid power grid.
Specifically, the processor 102 may refer to the description of the relevant steps in embodiment 1 or 2 for a specific implementation method of the instruction, which is not described herein again.
Example 4
The modules/units integrated by the electronic device 100 may be stored in a computer-readable storage medium if they are implemented in the form of software functional units and sold or used as separate products. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the computer program may implement the embodiments of the method according to the embodiments. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying said computer program code, recording medium, U-disk, removable hard disk, magnetic disk, optical disk, computer Memory, and Read-Only Memory (ROM).
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.

Claims (6)

1. A cross-regional interaction method under an alternating current-direct current hybrid power grid is characterized by comprising the following steps:
receiving a cross-regional interactive data request under an AC/DC hybrid power grid, wherein the interactive data request is used for starting interactive entities of the cross-regional under the AC/DC hybrid power grid to perform data interaction;
acquiring an alternating current-direct current hybrid full-network model of a cross-regional power market, and power generation quotation information of each power generation side interaction entity and power purchase quotation information of each power purchase side interaction entity in the cross-regional power market;
based on an alternating current-direct current hybrid whole network model of a cross-regional power market, power generation quotation information of each power generation side interaction entity and power purchase quotation information of each power purchase side interaction entity in the cross-regional power market, calling a constraint condition to solve a pre-established cross-regional interaction data processing model to obtain a cross-regional interaction data processing result under an alternating current-direct current hybrid power network;
outputting a cross-regional interactive data processing result under the alternating current-direct current hybrid power grid;
in the step of calling the constraint condition to solve the pre-established cross-region interactive data processing model, the cross-region interactive data processing model is as follows:
Figure 504538DEST_PATH_IMAGE001
wherein,
Figure 992151DEST_PATH_IMAGE002
Figure 670257DEST_PATH_IMAGE003
in the formula,Frepresenting an objective function calculated by a cross-regional interactive data processing model,
Figure 698256DEST_PATH_IMAGE004
for the total power purchase quotation of the power purchase side interaction entity in the cross-regional power market, the quotation of newly-increased power purchase quantity of the power purchase side interaction entity pur in the time period t is S: (pur,t)，S(pur,l,t) To the electricity purchasing sideInteractive entitypurIn the t periodlElectricity purchase price, Δ X, corresponding to load amount of segment lli (pur,l,t) Interaction entity for electricity purchasing sidepurIn the t periodlThe load amount adjustment of the segment;
Figure 83101DEST_PATH_IMAGE005
for the total power generation quotation of the power generation side interaction entity in the cross-regional power market, the power generation side interaction entitygenThe price of newly increased power generation amount in the t period isC(gen,t)，C(gen,l,t) For the mutual entities at the power generation sidegenIn the t periodlPower generation quotation corresponding to the power generation amount of the segment, ΔX pli (gen,l,t) For the mutual entities at the power generation sidegenIn the t periodlThe amount of adjustment of the generated energy of the segment;Tnumber of time periods during which the system is scheduled;PURthe total number of interaction entities at the electricity purchasing side;GENthe total number of the interaction entities at the power generation side;
the power generation quotation information of the power generation side interaction entity comprises: in the system scheduling period T, generating quotations and generating capacity adjustment quantities corresponding to the generating capacity of all the generating side interaction entities in each period of time; the electricity purchasing quotation information of the electricity purchasing side interaction entity comprises the following steps: in the system scheduling period T, all the power purchasing side interaction entities purchase power price and load quantity adjustment quantity corresponding to the power purchasing quantity of each section in each time period;
in the step of calling the constraint condition to solve the pre-established cross-region interaction data processing model, the constraint condition comprises:
and (3) restricting the transmission capacity of the inter-area direct current connecting line:
Figure 538353DEST_PATH_IMAGE006
in the formula,
Figure 641438DEST_PATH_IMAGE007
indicating that the direct current connecting line d-c increases the transmission power in the t period,
Figure 473128DEST_PATH_IMAGE008
representing the power delivery flow direction of the dc link d-c,
Figure 227326DEST_PATH_IMAGE009
representing d-c forward power flow;
Figure 853480DEST_PATH_IMAGE010
representing the reverse power flow of d-c,
Figure 443861DEST_PATH_IMAGE011
representing the available transport capacity of the direct current link d-c during the period t;
coupling constraint of the regional direct-current tie line and the alternating-current model:
Figure 79242DEST_PATH_IMAGE012
in the formula, deltaP(G d ,t) Represents the amount of adjustment of the generated output from the direct current transmission side in the period t, DeltaP load (L c ,t) The method comprises the steps of representing the power purchase demand adjustment quantity of a direct current receiving end at a power purchase side in a time period t;
inter-area crossline transport capacity constraints:
Figure 173099DEST_PATH_IMAGE013
in the formula,
Figure 235733DEST_PATH_IMAGE014
representing the available transport capacity of the ac link i-j during time t; deltaP(gen,t) Represents the generated output adjustment quantity delta of the interactive entity gen at the generating side in the t periodP load (pur,t) The load electricity utilization adjustment quantity of the electricity purchasing side interaction entity pur in the time period t is represented,
Figure 47832DEST_PATH_IMAGE015
representing the sensitivity of the generator side interaction entity gen to the ac link i-j,
Figure 486903DEST_PATH_IMAGE016
representing the sensitivity of the interaction entity pur at the power purchase side to the AC tie i-j;
and (3) safely restraining the easily blocked section in each area:
Figure 497585DEST_PATH_IMAGE017
in the formula,P qw,0 representing the initial power flow of the critical section q-w in the t-period province,P qw,max representing the power flow upper limit of the intra-provincial key section q-w;
Figure 918070DEST_PATH_IMAGE018
representing the sensitivity of the power generation side interaction entity gen to the intra-provincial critical section q-w,
Figure 279782DEST_PATH_IMAGE019
representing the sensitivity of an interaction entity pur at the electricity purchasing side to a key section q-w in the province;
and (3) partition balance constraint:
Figure 194648DEST_PATH_IMAGE020
in the formula, deltaZ power (gen,t) Represents the total output adjustment quantity delta of all the power generation side interaction entities gen in the time interval zoneZ load (pur,t) Represents the total power purchase demand adjustment quantity delta of all power purchase side interaction entities pur in the time period t zoneZ loss (t) Representing the network loss in the sub-domain in the period t;
in the step of calling the constraint condition to solve the pre-established cross-region interaction data processing model, the constraint condition further includes:
and (3) system operation balance constraint:
Figure 325415DEST_PATH_IMAGE021
Figure 667535DEST_PATH_IMAGE022
Figure 516542DEST_PATH_IMAGE023
in the formula, deltaP loss (t) Representing the network loss generated by newly adding transactions on the basis of the original power generation plan at the t time period of the transaction day;
and (3) limiting the upper limit and the lower limit of output power of a power generation side:
Figure 969520DEST_PATH_IMAGE024
in the formula,P gen,max 、P gen,min respectively representing the upper limit and the lower limit of the output power of the generator side interaction entity gen,P 0 (gen,t) And decomposing the power generation output of the curve at the t period for the authorized contract of the medium-long term power generation side interaction entity gen.
2. The method according to claim 1, wherein in the step of obtaining the alternating current-direct current hybrid whole network model of the cross-regional power market and the power generation quotation information and the power purchase quotation information of each interactive entity, the alternating current-direct current hybrid whole network model comprises three types of key information: the physical model of the key node, the physical model of the key section and the sensitivity of the node to the key section;
wherein, the key node includes: the system comprises a cross-regional power market, a plurality of regional power units and a plurality of direct current tie lines, wherein the cross-regional power market is internally provided with a plurality of direct current tie lines;
the key section comprises: safety constraint of direct current sections and alternating current sections among all regions and easily blocked sections in each region;
the sensitivity of the nodes to the key sections is a scheduling parameter calculated based on all key nodes, all key sections and the network operation mode.
3. Cross regional mutual device under alternating current-direct current series-parallel connection electric wire netting, its characterized in that includes:
the receiving module is used for receiving a cross-regional interactive data request under the AC/DC hybrid power grid, wherein the interactive data request is used for starting interactive entities of cross-regional areas under the AC/DC hybrid power grid to perform data interaction;
the system comprises an acquisition module, a power supply module and a power supply module, wherein the acquisition module is used for acquiring an alternating current-direct current hybrid full-network model of a cross-regional power market, and power generation quotation information of each power generation side interaction entity and power purchase quotation information of each power purchase side interaction entity in the cross-regional power market;
the clearing module is used for calling a constraint condition to solve a pre-established cross-regional interactive data processing model based on an alternating current and direct current hybrid whole network model of a cross-regional power market, and power generation quotation information of each power generation side interactive entity and power purchase quotation information of each power purchase side interactive entity in the cross-regional power market, so as to obtain a cross-regional interactive data processing result under the alternating current and direct current hybrid power network;
the output module is used for outputting a cross-regional interactive data processing result under the alternating current-direct current hybrid power grid;
in the clearing module, the cross-region interactive data processing model is as follows:
Figure 220373DEST_PATH_IMAGE025
wherein,
Figure 982661DEST_PATH_IMAGE002
Figure 318965DEST_PATH_IMAGE026
in the formula,Frepresenting an objective function calculated by a cross-regional interactive data processing model,
Figure 44475DEST_PATH_IMAGE004
for the total power purchase quotation of the power purchase side interaction entity in the cross-regional power market, the quotation of newly-increased power purchase quantity of the power purchase side interaction entity pur in the time period t is S: (pur,t)，S(pur,l,t) Interaction entity for electricity purchasing sidepurIn the t periodlElectricity purchase price, Δ X, corresponding to load amount of segment lli (pur,l,t) Interaction entity for electricity purchasing sidepurIn the t periodlThe load amount adjustment of the segment;
Figure 149835DEST_PATH_IMAGE027
for the total power generation quotation of the power generation side interaction entity in the cross-regional power market, the power generation side interaction entitygenThe price of newly increased power generation amount in the t period isC(gen,t)，C(gen,l,t) For the mutual entities at the power generation sidegenIn the t periodlPower generation quotation corresponding to the power generation amount of the segment, ΔX pli (gen,l,t) For the mutual entities at the power generation sidegenIn the t periodlThe amount of adjustment of the generated energy of the segment;Tnumber of time periods during which the system is scheduled;PURthe total number of interaction entities at the electricity purchasing side;GENthe total number of the interaction entities at the power generation side;
in the purge module, the constraint condition includes:
and (3) restricting the transmission capacity of the inter-area direct current connecting line:
Figure 630494DEST_PATH_IMAGE028
in the formula,
Figure 126198DEST_PATH_IMAGE029
indicating that the direct current connecting line d-c increases the transmission power in the t period,
Figure 248875DEST_PATH_IMAGE030
representing the power delivery flow direction of the dc link d-c,
Figure 395691DEST_PATH_IMAGE009
representing d-c forward power flow;
Figure 312832DEST_PATH_IMAGE010
representing the reverse power flow of d-c,
Figure 561410DEST_PATH_IMAGE011
representing the available transport capacity of the direct current link d-c during the period t;
coupling constraint of the regional direct-current tie line and the alternating-current model:
Figure 222199DEST_PATH_IMAGE012
in the formula, deltaP(G d ,t) Represents the amount of adjustment of the generated output from the direct current transmission side in the period t, DeltaP load (L c ,t) The method comprises the steps of representing the power purchase demand adjustment quantity of a direct current receiving end at a power purchase side in a time period t;
inter-area crossline transport capacity constraints:
Figure 974254DEST_PATH_IMAGE031
in the formula,
Figure 62296DEST_PATH_IMAGE032
representing the available transport capacity of the ac link i-j during time t; deltaP(gen,t) Generating output regulation representing interactive entity gen at generating side in t periodWhole amount and deltaP load (pur,t) The load electricity utilization adjustment quantity of the electricity purchasing side interaction entity pur in the time period t is represented,
Figure 594908DEST_PATH_IMAGE033
representing the sensitivity of the generator side interaction entity gen to the ac link i-j,
Figure 997071DEST_PATH_IMAGE016
representing the sensitivity of the interaction entity pur at the power purchase side to the AC tie i-j;
and (3) safely restraining the easily blocked section in each area:
Figure 665950DEST_PATH_IMAGE034
in the formula,P qw,0 representing the initial power flow of the critical section q-w in the t-period province,P qw,max representing the power flow upper limit of the intra-provincial key section q-w;
Figure 377422DEST_PATH_IMAGE018
representing the sensitivity of the power generation side interaction entity gen to the intra-provincial critical section q-w,
Figure 397331DEST_PATH_IMAGE035
representing the sensitivity of an interaction entity pur at the electricity purchasing side to a key section q-w in the province;
and (3) partition balance constraint:
Figure 337605DEST_PATH_IMAGE036
in the formula, deltaZ power (gen,t) Represents the total output of all the power generation side interaction entities gen in the region of the t periodZ load (pur,t) Represents the total power purchase demand, Delta, of all the power purchase side interaction entities pur in the sub-region of the t periodZ loss (t) Represents t time periodNetwork loss in the area;
in the purge module, the constraint condition further includes:
and (3) system operation balance constraint:
Figure 126570DEST_PATH_IMAGE037
Figure 759676DEST_PATH_IMAGE038
Figure 1302DEST_PATH_IMAGE039
in the formula, deltaP loss (t) Representing the network loss generated by newly adding transactions on the basis of the original power generation plan at the t time period of the transaction day;
and (3) limiting the upper limit and the lower limit of output power of a power generation side:
Figure 745267DEST_PATH_IMAGE040
in the formula,P gen,max 、P gen,min respectively representing the upper limit and the lower limit of the output power of the generator side interaction entity gen,P 0 (gen,t) And decomposing the power generation output of the curve at the t period for the authorized contract of the medium-long term power generation side interaction entity gen.
4. The device according to claim 3, wherein in the obtaining module, the AC/DC hybrid full network model includes three types of key information: the physical model of the key node, the physical model of the key section and the sensitivity of the node to the key section;
wherein, the key node includes: the system comprises a cross-regional power market, a plurality of regional power units and a plurality of direct current tie lines, wherein the cross-regional power market is internally provided with a plurality of direct current tie lines;
the key section comprises: safety constraint of direct current sections and alternating current sections among all regions and easily blocked sections in each region;
the sensitivity of the nodes to the key sections is a scheduling parameter calculated based on all key nodes, all key sections and the network operation mode.
5. An electronic device, characterized in that the electronic device comprises a processor and a memory, the processor is configured to execute a computer program stored in the memory to implement the method according to any one of claims 1 to 2.
6. A computer-readable storage medium, wherein the computer-readable storage medium stores at least one instruction, and the at least one instruction when executed by a processor implements the method for cross-regional interaction in the ac/dc hybrid network according to any one of claims 1 to 2.
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