CN111798046B - Method, device and storage medium for clearing inter-provincial medium-long-term transaction considering ATC - Google Patents
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Abstract
The invention discloses a method, equipment and a storage medium for establishing a clear model of an inter-province medium-long term transaction taking account of ATC, which comprises the steps of simplifying an alternating-current/direct-current series-parallel power grid and calculating a sensitivity factor in the inter-province centralized transaction clear; organizing the centralized competitive price transaction among provinces and issuing information to market members; market members conduct transaction declaration; reporting curve aggregation is carried out in each price zone; adopting a partitioned optimization clearing model based on sensitivity factors; taking the power transmission cost and the network loss into consideration, and carrying out partition clearing to form winning power and electricity price of each market member; issuing a transaction result as a settlement basis; the method aims at the purchase price region to conduct aggregate reporting, realizes clear purchase price region and regional pricing, improves the executability of long-term transaction in provinces, digs price signals of long-term transaction in provinces, is beneficial to realizing promotion of development of long-term transaction in provinces, and is beneficial to promoting the consumption of clean energy in China.
Description
Technical Field
The invention belongs to the technical field of electric power automation, and particularly relates to a method and device for establishing clear modeling of inter-provincial medium-long-term transaction taking account of ATC (advanced telecom computing architecture) and a storage medium.
Background
The country is wide in region, the difference of the intrinsic endowment of the resources in each region depends on the extra-high voltage circuit for a long time, and the large-scale resource optimization configuration is realized through the inter-provincial medium-long-term transaction. At present, 11 extra-high voltage direct current lines are in operation in China, and 10 extra-high voltage alternating current lines are in operation. Along with the approval and reconstruction of the ultra-high voltage power grid, a power transmission channel between 27 provinces in the operating range of a national network company becomes more and more complex, and how to realize optimization and clearing of long-term transaction among the provinces based on an alternating-current/direct-current hybrid power grid and an ATC (available power transmission capacity) is a problem to be researched and solved. The country depends on the extra-high voltage line for a long time due to the endowment difference of the resources in each place, and realizes a large-scale resource optimization configuration through long-term transaction in provinces. With the deep advancement of the reform of the electric power market, the practical requirement of the overall coordination and optimization configuration of the electric power resources makes the importance and urgency of the nationwide unified electric power market construction prominent.
Disclosure of Invention
The invention provides a clear modeling method, equipment and a storage medium for medium-long term transaction between provinces taking account of ATC (advanced telecom computing architecture), which are used for solving the problems existing in the prior art.
The invention provides a modeling method for accounting for clear transaction between provinces and long term of ATC, which comprises the following steps: the method comprises the steps of obtaining available transmission capacity ATC and simplified topological relation of each transmission channel in a power transaction network, and calculating sensitivity factors of key nodes and key sections; acquiring declaration data of each market member in the electric power trade market, forming a polymerization curve from the declaration data, carrying out partition optimization clearing based on the polymerization curve and combining sensitivity factors, and establishing a maximum optimization objective function for optimizing the power transmission price and the network loss rate; the maximum optimization objective function has constraint conditions; and solving the maximum optimization objective function, and guiding the clearing of the purchase price region and the pricing of the region by utilizing the solving result.
Preferably, before the calculation of the sensitivity factor, the method further includes: the AC/DC series-parallel power grid is simplified, and key sections and key nodes of inter-provincial transaction are reserved.
Preferably in any one of the foregoing embodiments, the critical interface includes all inter-provincial dc and ac power transmission sections, and intra-provincial critical sections that are prone to blockage; the key nodes comprise end points at two ends of the direct current tie line, a generator set node directly participating in the inter-provincial transaction, and a virtual aggregation node which is participated in the inter-provincial transaction by the agency of the provincial company.
In any of the above embodiments, preferably, when the reporting data is formed into an aggregate curve, the reporting data of market members in each price area is collected, and reporting power is combined with the same price, so as to obtain a power purchasing demand curve and a power selling curve after the collection of each price area.
In any of the above embodiments, it is preferable to optimize the power transmission price using the following objective function:
Wherein O is an element in the electricity selling price area set O, D is an element in the electricity purchasing price area set D, p o is a declared electricity selling price of the electricity selling price area O, and p d is a declared electricity purchasing price of the electricity purchasing price area D. DX d (t) is the proportion of the bid-winning electric power in the t period of the electricity purchase price region d; SX o (t) is the proportion of the bid-up power in the t period in the electricity price selling area o;
Optimizing the network loss rate by adopting the following objective function:
bl(t)＝po(t)*ul/(1-ul)+ml
Wherein b l (t) is the transmission price m l added with the grid loss discount price at the time of the period t on the transmission channel l, and u l is the grid loss rate of the transmission channel l.
In any of the above embodiments, preferably, a constraint condition of a maximum optimization objective function is set; comprising
1) Power balance constraints for each price zone
Wherein Start a,l represents a power transmission path with a-valent region as a Start point, end a,l represents a power transmission path with a-valent region as an End point,Representing the forward power transmission of the power transmission channel l in the t period,/>The power transmission channel l reversely transmits power in a t period, SX a (t) represents a bid-winning proportion of electricity-selling requirements declared in a price area, and DX a (t) represents a bid-winning proportion of electricity-purchasing requirements declared in the price area;
2) Winning bid power constraint
The winning power of each price zone does not exceed the declaration requirement, and the winning proportion is between 0 and 1;
0≤DXd(t)≤1
0≤SXo(t)≤1
3) Tidal current change rate requirement of direct current transmission channel
Wherein f l (t-1) represents the power flow at time t-1 on the transmission channel l; rampUp is the allowable maximum power up-regulation value of the transmission channel; rampDn the transmission channel allows the maximum power to be adjusted down;
4) Daily power flow change frequency constraint on direct current transmission channel
Y ij(t)＝1if fl(t)＞fl (t-1) t, t-1 ε same day
Z ij(t)＝1if fl(t)＜fl (t-1) t, t-1 ε same day
yij(t)+zij(t)≤Nij
Y ij (t) =1 indicates that there is a change in power at time t on the transmission channel (i, j) upward;
z ij (t) =1 indicates that there is a downward change in power at time t on the transmission channel (i, j);
The maximum number of changes over the day of N ij transmission channels (i, j);
5) Sensitivity factor-based power transmission channel power calculation
And aiming at the power transmission channel l, carrying out load flow calculation of the power transmission channel based on sensitivity factors from the nodes to the key sections. Sens (o, l, t) represents the sensitivity factor of the selling price zone o to the power transmission channel l over the t period, and Sens (d, l, t) the purchasing price zone d to the power transmission channel l over the t period. AC represents a collection of alternating current sections;
6) Power transmission channel capacity constraints
ATC l (t) is the remaining available transmission capacity of transmission channel l at t, and the conditions of overhauling, stopping operation and transaction of transmission equipment are considered during calculation;
the power is transmitted forward and backward on the power transmission channel I;
7) Power transmission channel set constraint
If there are multiple power transmission channels providing an aggregate available power transmission capacity, a cluster of power transmission channels is established, and constraints are placed on this cluster: adding a plurality of transmission channels l to the T cluster if the transmission channels share an aggregate transmission capacity parameter ATC T (T);
8) Partition pricing constraints
Calculating shadow prices according to the partition power balance constraint to obtain partition node power price (a, t), and ensuring recovery of power transmission fees through the following constraint;
price(a,t)-price(a',t)≥ml(t)
m l (t) represents the power transmission fee of the power transmission channel l in the period t, and price (a, t) represents the price of the head end price zone a of the power transmission channel; price (a ', t) represents the price of the terminal price zone a' of transmission channel l.
In any one of the embodiments, preferably, when an optimization algorithm is adopted to optimize the objective function, a mixed integer programming algorithm is adopted, and a COMPLEX optimization engine is utilized to solve the objective function to obtain the bid-for-electricity ratio of the electricity purchase price region in the time period and the bid-for-electricity ratio of the electricity selling price region in the time period, so as to obtain the power of each power transmission channel in each time period; according to the obtained winning bid purchase and sale power proportion, adjusting the clearing of the purchase and sale price area and the pricing of the subarea; according to the power of each transmission channel in each period, the clearing sequence is adjusted; after the trade is achieved according to the clearing order, the winning bid power and the electricity price of each market member are formed, and the trade result is issued as a settlement basis.
In any of the above embodiments, preferably, when the partition optimization of the sensitivity factor is adopted, the transmission price and the network loss rate corresponding to each extra-high voltage transmission channel are checked for each extra-high voltage transmission channel by using the maximum optimization objective function, and the checked transmission price and network loss rate are used for guiding the partition pricing of the area to which the extra-high voltage transmission channel belongs.
The invention also provides a device for clearing the inter-provincial medium-long-term transaction taking account of ATC, which comprises
The data acquisition module is used for acquiring the available transmission capacity ATC of each transmission channel in the power transaction network and simplifying the topological relation, and calculating the sensitivity factors of the key nodes and the key sections; acquiring declaration data of each market member in the electric power trade market, and forming a polymerization curve from the declaration data;
the objective function establishing module is used for carrying out partition optimization clearing based on the combination of the aggregation curve and the sensitivity factor, and establishing a maximum optimization objective function for optimizing the power transmission price and the network loss rate; the maximum optimization objective function has constraint conditions;
and the solving module is used for solving the maximum optimization objective function and guiding the purchase price region to be clear and the region pricing by utilizing the solving result.
The invention also proposes a computer storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of a modeling method as described above.
The invention provides an inter-province medium-long term transaction clearing method, an inter-province medium-long term transaction clearing device and a storage medium which are used for taking account of ATC, and provides an inter-province medium-long term transaction clearing modeling method which is used for taking account of ATC aiming at the current situation of a direct current parallel-serial power grid of diplomatic relations between nations. The method has the advantages that the Available Transmission Capacity (ATC) of the line is considered, the transmission cost and the network loss of the ultra-high voltage transmission channel are considered, the different operation characteristics of the alternating current and direct current transmission channels are considered, the aggregation declaration is carried out on the purchase price region, the clear purchase price region and the regional pricing are realized, the executability of medium-long term transaction in the province is improved, the medium-long term transaction price signal in the province is mined, the development of promoting the medium-long term transaction in the province is facilitated, and the clean energy consumption in China is facilitated.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention. In the drawings:
Fig. 1 is a schematic flow chart of a method for clearing long-term transactions between provinces, which takes ATC into account.
Detailed Description
The invention will be described in detail below with reference to the drawings in connection with embodiments. It should be noted that, without conflict, the embodiments of the present invention and features of the embodiments may be combined with each other.
The following detailed description is exemplary and is intended to provide further details of the invention. Unless defined otherwise, 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 example embodiments in accordance with the invention.
As shown in fig. 1, the invention provides a method for modeling a long-term transaction play among provinces taking ATC into account, comprising the following steps:
S1, acquiring available transmission capacity ATC and simplified topological relation of each transmission channel in a power transaction network, and acquiring sensitivity factors of key nodes and key sections by using power flow calculation;
s2, acquiring declaration data of each market member in the electric power trade market, and forming an aggregation curve from the declaration data;
S3, carrying out partition optimization clearing based on the combination of the aggregation curves and sensitivity factors, and establishing a maximum optimization objective function for optimizing the power transmission price and the network loss rate;
S4, setting constraint conditions of the maximum optimization objective function;
and S5, solving the objective function by adopting an optimization algorithm, and guiding the clearing of the purchase price region and the pricing of the region by utilizing the solving result.
The execution sequence of the step S1 and the step S2 is not sequential, and can be executed simultaneously, in the step S1, various transaction information released by a transaction center is obtained from a Beijing electric power transaction center, wherein the transaction information comprises a concentrated competitive price transaction among provinces, release transaction period, admission market members, a transaction declaration window, available power transmission capacity (ATC) on each power transmission channel and the like, and network topology structure information is simplified; before the sensitivity factor is calculated, the alternating current-direct current series-parallel connection power grid is simplified, key sections and key nodes of inter-provincial transaction are reserved, and an equivalent simplified network suitable for inter-provincial medium-long-term transaction organization is constructed. The key interface comprises all inter-provincial direct current and alternating current transmission sections and key sections which are easy to block in the provincial; the key nodes comprise end points at two ends of the direct current tie line, a generator set node directly participating in the inter-provincial transaction, and a virtual aggregation node which is participated in the inter-provincial transaction by the agency of the provincial company.
In S2, when acquiring declaration data of each market member in the electric power trade market, since the admitting market member of each price area of the Beijing electric power trade center can choose to directly participate in the inter-provincial centralized competitive price trade, or can choose to be participated in the inter-provincial centralized competitive price trade by the provincial company agency, each market member can use electric power and electricity price according to time period. Allowing reporting of different electricity and electricity prices in different time periods; therefore, the market member reporting data of each price area are collected, reporting power of the same price is combined, and the electricity purchasing demand curve and the electricity selling curve after the collection of each price area are obtained.
Based on the aggregation curve declared in the price zone, the maximum optimization target of social benefits considering the power transmission cost and the network loss is established:
Wherein O is an element in the electricity selling price area set O, D is an element in the electricity purchasing price area set D, p o is a declared electricity selling price of the electricity selling price area O, and p d is a declared electricity purchasing price of the electricity purchasing price area D. DX d (t) is the proportion of the bid-winning electric power in the t period of the electricity purchase price region d; SX o (t) is the winning power proportion in the t period for the electricity selling price zone o.
Optimizing the network loss rate by adopting the following objective function:
bl(t)＝po(t)*ul/(1-ul)+ml
Wherein b l (t) is the transmission price m l added with the grid loss discount price at the time of the period t on the transmission channel l, and u l is the grid loss rate of the transmission channel l.
In S4, setting constraint conditions of the maximum optimization objective function; comprising
1) Power balance constraints for each price zone
Wherein Start a,l represents a power transmission path with a-valent region as a Start point, end a,l represents a power transmission path with a-valent region as an End point,Representing the forward power transmission of the power transmission channel l in the t period,/>The power transmission channel l reversely transmits power in a t period, SX a (t) represents a bid-winning proportion of electricity-selling requirements declared in a price area, and DX a (t) represents a bid-winning proportion of electricity-purchasing requirements declared in the price area;
2) Winning bid power constraint
The winning power of each price zone does not exceed the declaration requirement, and the winning proportion is between 0 and 1;
0≤DXd(t)≤1
0≤SXo(t)≤1
3) Tidal current change rate requirement of direct current transmission channel
F l (t-1) represents the power flow at time t-1 on transmission line l; rampUp is the allowable maximum power up-regulation value of the transmission channel; rampDn the transmission channel allows the maximum power to be adjusted down;
4) Daily power flow change frequency constraint on direct current transmission channel
Y ij(t)＝1if fl(t)＞fl (t-1) t, t-1 ε same day
Z ij(t)＝1if fl(t)＜fl (t-1) t, t-1 ε same day
yij(t)+zij(t)≤Nij
Y ij (t) =1 indicates that there is a change in power at time t on the transmission channel (i, j) upward;
z ij (t) =1 indicates that there is a downward change in power at time t on the transmission channel (i, j);
The maximum number of changes over the day of N ij transmission channels (i, j);
5) Sensitivity factor-based power transmission channel power calculation
And aiming at the power transmission channel l, carrying out load flow calculation of the power transmission channel based on sensitivity factors from the nodes to the key sections. Sens (o, l, t) represents the sensitivity factor of the selling price zone o to the power transmission channel l over the t period, and Sens (d, l, t) the purchasing price zone d to the power transmission channel l over the t period. AC represents a collection of alternating current sections;
6) Power transmission channel capacity constraints
ATC l (t) is the remaining available transmission capacity of transmission channel l at t, and the conditions of overhauling, stopping operation and transaction of transmission equipment are considered during calculation;
fl +(t)-fl -(t)＝fl(t)
f l +(t)、fl - (t) is the power transmitted in the forward direction and the reverse direction on the transmission channel l;
7) Power transmission channel set constraint
If there are multiple power transmission channels providing an aggregate available power transmission capacity, a cluster of power transmission channels is established, and constraints are placed on this cluster: adding a plurality of transmission channels l to the T cluster if the transmission channels share an aggregate transmission capacity parameter ATC T (T);
8) Partition pricing constraints
Calculating shadow prices according to the partition power balance constraint to obtain partition node power price (a, t), and ensuring recovery of power transmission fees through the following constraint;
price(a,t)-price(a',t)≥ml(t)
m l (t) represents the power transmission fee of the power transmission channel l in the period t, and price (a, t) represents the price of the head end price zone a of the power transmission channel; price (a ', t) represents the price of the terminal price zone a' of transmission channel l.
In S5, when an optimization algorithm is adopted to optimize an objective function, a mixed integer programming algorithm is adopted, a COMPLEX optimization engine is utilized to solve and obtain a bid-electricity proportion DX d (t) in a t period and a bid-electricity proportion SX o (t) in a t period in a power purchase price region o, power f l (t) in each period of each power transmission channel is obtained, and the solving result is utilized to guide and adjust the clearing of the purchase price region and the pricing of the partition; according to the obtained winning bid purchase and sale power proportion, adjusting the clearing of the purchase and sale price area and the pricing of the subarea; and (3) according to the power of each period, adjusting the clearing sequence, forming the winning power and the electricity price of each market member after the trade is completed, and issuing the trade result as a settlement basis.
In S3, in order to better and accurately adjust the zone pricing in combination with the current situation of the extra-high voltage operation in China, in one embodiment of the present invention, an objective function is established for each extra-high voltage transmission channel, a transmission price and a network loss rate are checked for each extra-high voltage transmission channel by using the objective function, and the checked transmission price and network loss rate are used for guiding the zone pricing of the zone to which the extra-high voltage transmission channel belongs. When the subarea pricing is guided, the result of the maximum optimization objective function solution is used as a first priority, and the verified power transmission price and the verified network loss rate of the extra-high voltage power transmission channel are used as a second priority reference for adjustment.
The method comprises the steps of firstly merging declaration requirements of purchase price areas according to prices, then constructing a social benefit maximum optimization target considering power transmission cost and network loss, and establishing power balance constraint, winning power constraint, power flow change rate requirement of a direct-current power transmission channel, daily power flow change times constraint on the direct-current power transmission channel, sensitivity factor-based power transmission channel power calculation, power transmission channel capacity constraint, power transmission channel set constraint and partition pricing constraint of each price area, thereby realizing medium-and-long-term transaction clearing and partition power price signal mining between provinces; the method aims at the purchase price region to conduct aggregation declaration, realizes clear purchase price region and regional pricing, improves the executability of long-term transaction in provinces, digs price signals of long-term transaction in provinces, is beneficial to realizing promotion of development of long-term transaction in provinces, and is beneficial to promoting the consumption of clean energy in China.
The invention also provides a modeling device for accounting for the clear transaction between provinces of the ATC for a long term, and a data acquisition module for acquiring the available transmission capacity ATC of each transmission channel in the power transaction network and simplifying the topological relation, and calculating the sensitivity factors of the key nodes and the key sections; acquiring declaration data of each market member in the electric power trade market, and forming a polymerization curve from the declaration data;
the objective function establishing module is used for carrying out partition optimization clearing based on the combination of the aggregation curve and the sensitivity factor, and establishing a maximum optimization objective function for optimizing the power transmission price and the network loss rate; the maximum optimization objective function has constraint conditions;
and the solving module is used for solving the maximum optimization objective function and guiding the purchase price region to be clear and the region pricing by utilizing the solving result.
The invention also provides a computer storage medium, wherein a computer program is stored on the computer storage medium, and when the computer program is executed by a processor, the clear modeling method is optimized by the inter-provincial medium-term and long-term transaction based on the consideration of the power transmission cost and the network loss of the sensitivity factor in the steps of the modeling method.
It will be appreciated by those skilled in the art that 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 flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations 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.
It will be appreciated by those skilled in the art that the present invention can be carried out in other embodiments without departing from the spirit or essential characteristics thereof. Accordingly, the above disclosed embodiments are illustrative in all respects, and not exclusive. All changes that come within the scope of the invention or equivalents thereto are intended to be embraced therein.
Claims (8)
1. A method for clearing transaction between provinces in medium and long term taking account of ATC is characterized in that: comprising the following steps:
the method comprises the steps of obtaining available transmission capacity ATC and simplified topological relation of each transmission channel in a power transaction network, and calculating sensitivity factors of key nodes and key sections; acquiring declaration data of each market member in the electric power trade market, and forming a polymerization curve from the declaration data;
Carrying out partition optimization clearing based on an aggregation curve and combining sensitivity factors, and establishing a social benefit maximum optimization objective function considering power transmission price and network loss rate; the maximum optimization objective function has constraint conditions;
Solving the maximum optimization objective function, and guiding the clearing of the purchase price region and the pricing of the region by utilizing the solving result;
The following objective function is adopted to optimize the power transmission price:
Wherein O is an element in the electricity selling price area set O, D is an element in the electricity purchasing price area set D, p o is the electricity selling price declared by the electricity selling price area O in the t period, and p d is the electricity purchasing price declared by the electricity purchasing price area D in the t period; DX d (t) is the proportion of the bid-winning electric power in the t period of the electricity purchase price region d; SX o (t) is the proportion of the bid-up power in the t period in the electricity price selling area o;
Optimizing the network loss rate by adopting the following objective function:
bl(t)＝po(t)*ul/(1-ul)+ml
wherein b l (t) is the transmission price m l of the transmission channel l at the time of the period t plus the grid loss discount price, and u l is the grid loss rate of the transmission channel l;
Constraints of the maximum optimization objective function include,
1) Power balance constraint per price zone:
Wherein, start a,l represents a power transmission channel taking a price area as a starting point, end a,l represents a power transmission channel taking the price area as an End point, f l + (t) represents forward power transmission of power transmission channel l in t period, f l - (t) represents reverse power transmission of power transmission channel l in t period, SX a (t) represents a bid-in-bid ratio of electricity-selling requirements declared in the price area, DX a (t) represents a bid-in-bid ratio of electricity-purchasing requirements declared in the price area;
2) Winning power constraint:
The winning power of each price zone does not exceed the declaration requirement, and the winning proportion is between 0 and 1;
0≤DXd(t)≤1
0≤SXo(t)≤1
3) The power flow change rate requirement of the direct current transmission channel is as follows:
wherein f l (t-1) represents the power flow at time t-1 on the transmission channel l; rampUp is the allowable maximum power up-regulation value of the transmission channel; rampDn the transmission channel allows the maximum power to be adjusted down;
4) The daily tide change times constraint on the direct current transmission channel:
y ij(t)＝1 if fl(t)＞fl (t-1) t, t-1 ε same day
Z ij(t)＝1 if fl(t)＜fl (t-1) t, t-1 ε same day
yij(t)+zij(t)≤Nij
Y ij (t) =1 indicates that there is a change in power at time t on the transmission channel (i, j) upward;
z ij (t) =1 indicates that there is a downward change in power at time t on the transmission channel (i, j);
N ij represents the maximum number of changes over a day of the transmission path (i, j);
5) Sensitivity factor-based power transmission channel power calculation:
aiming at the power transmission channel l, carrying out power flow calculation of the power transmission channel based on sensitivity factors from the nodes to the key sections; sens (o, l, t) represents the sensitivity factor of the selling price area o to the power transmission channel l over the t period, and Sens (d, l, t) the purchasing price area d to the power transmission channel l over the t period; AC represents a collection of alternating current sections;
6) Power transmission channel capacity constraints:
ATC l (t) is the remaining available transmission capacity of transmission channel l at t, and the conditions of overhauling, stopping operation and transaction of transmission equipment are considered during calculation;
fl +(t)-fl -(t)＝fl(t)
7) Power transmission channel set constraint:
If there are multiple power transmission channels providing an aggregate available power transmission capacity, a cluster of power transmission channels is established, and constraints are placed on this cluster: adding a plurality of power transmission channels to a T cluster if the plurality of power transmission channels share an aggregate power transmission capacity parameter ATC T (T);
8) Partition pricing constraints:
Calculating shadow prices according to the partition power balance constraint to obtain partition node power price (a, t), and ensuring recovery of power transmission fees through the following constraint;
price(a,t)-price(a',t)≥ml(t)
m l (t) represents the power transmission fee of the power transmission channel l in the period t, and price (a, t) represents the price of the head end price zone a of the power transmission channel; price (a ', t) represents the price of the terminal price zone a' of transmission channel l.
2. The method of claim 1, further comprising, prior to the sensitivity factor calculation: and simplifying the AC/DC series-parallel power grid, and reserving key sections and key nodes of inter-provincial transaction.
3. The method according to claim 2, characterized in that: the key sections comprise all inter-provincial direct current and alternating current power transmission sections and key sections which are easy to block in the provincial; the key nodes comprise end points at two ends of the direct current tie line, a generator set node directly participating in the inter-provincial transaction, and a virtual aggregation node which is participated in the inter-provincial transaction by the agency of the provincial company.
4. The method according to claim 1, characterized in that: when reporting data form an aggregation curve, collecting reporting data of market members in each price area, and combining reporting power of the same price to obtain a power purchasing demand curve and a power selling curve after the reporting data are collected in each price area.
5. The method according to claim 1, characterized in that: the solving the maximum optimization objective function comprises the following steps:
Adopting a mixed integer programming algorithm, and solving by using a COMPLEX optimization engine to obtain the proportion of the bid-in power of the electricity purchase price region in the t period and the proportion of the bid-in power of the electricity selling price region in the t period, so as to obtain the power of each power transmission channel in each period;
According to the obtained winning bid purchase and sale power proportion, adjusting the clearing of the purchase and sale price area and the pricing of the subarea; according to the power of each transmission channel in each period, the clearing sequence is adjusted;
After the trade is achieved according to the clearing order, the winning bid power and the electricity price of each market member are formed, and the trade result is issued as a settlement basis.
6. The method according to claim 1, characterized in that: when the sensitivity factor is adopted for partition optimization, the maximum optimization objective function is utilized to check the corresponding power transmission price and the network loss rate of each extra-high voltage power transmission channel, and the checked power transmission price and the checked network loss rate are used for guiding the partition pricing of the region to which each extra-high voltage power transmission channel belongs.
7. An inter-provincial medium-long term transaction clearing device considering ATC, which is characterized in that: for performing the method of claim 1, comprising
The data acquisition module is used for acquiring the available transmission capacity ATC of each transmission channel in the power transaction network and simplifying the topological relation, and calculating the sensitivity factors of the key nodes and the key sections; acquiring declaration data of each market member in the electric power trade market, and forming a polymerization curve from the declaration data;
the objective function establishing module is used for carrying out partition optimization clearing based on the combination of the aggregation curve and the sensitivity factor, and establishing a maximum optimization objective function for optimizing the power transmission price and the network loss rate; the maximum optimization objective function has constraint conditions;
and the solving module is used for solving the maximum optimization objective function and guiding the purchase price region to be clear and the region pricing by utilizing the solving result.
8. A computer storage medium, characterized in that it has stored thereon a computer program which, when executed by a processor, implements the steps of a method of clearing as claimed in any one of claims 1 to 6.
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