Rolling out clearing method and system for inter-provincial medium and long-term transaction considering available transmission capacity

Abstract

The application discloses a kind of considering available transmission capacity's province's medium and long-term transaction rolling out clearing method and system, belong to electric power market field, including: obtaining the pre-bid clearing result of province's medium and long-term electric power transaction;The pre-bid clearing result of province's medium and long-term electric power transaction is input into the medium and long-term electric power market transaction optimization clearing model based on MVCG mechanism, and the transaction electric quantity and transaction electric price are obtained, complete province's medium and long-term transaction rolling out clearing, wherein the medium and long-term electric power market transaction optimization clearing model based on MVCG mechanism satisfies transmission network constraint, and the method and system realize the long-term transaction rolling out clearing of satisfying transmission network available transmission capacity.

Description

Technical Field

[0001] This invention belongs to the field of electricity market and relates to a method and system for rolling clearing of medium- and long-term transactions within a province, taking into account available transmission capacity. Background Technology

[0002] Against the backdrop of the construction of a unified national electricity market, my country has made significant progress in the construction of its medium- and long-term market, spot market, inter-provincial market, and intra-provincial market. In terms of trading instruments, a full-cycle, full-variety trading system has been established, including electricity energy trading, power generation rights trading, and contract transfer trading.

[0003] With the normalization of medium- and long-term trading, positions on the settlement date can be adjusted multiple times using trading strategies as forecast accuracy improves or influencing factors change. The prerequisite for market participants to formulate adjustment strategies is the ability to accurately grasp their own positions. If there is still a risk of safety adjustments to existing trades, then formulating pricing strategies loses its basis, leading to increased decision-making difficulty or risk.

[0004] Currently, my country's inter-provincial market has basically achieved centralized trading optimization and clearing that takes into account available transmission capacity. However, the intra-provincial market is still carried out in a way that involves unconstrained clearing followed by safety verification. Therefore, the clearing results often fail to meet the available transmission capacity of the power grid. Summary of the Invention

[0005] The purpose of this invention is to overcome the shortcomings of the prior art and provide a method and system for rolling clearing of medium- and long-term transactions within a province that takes into account available transmission capacity. This method and system achieve rolling clearing of long-term transactions that meet the available transmission capacity of the power grid.

[0006] To achieve the above objectives, the present invention adopts the following technical solution:

[0007] In one aspect, this invention provides a method for rolling clearing of intra-provincial medium- and long-term power transactions that takes into account available transmission capacity, comprising:

[0008] Obtain the pre-bid clearing results for medium- and long-term power transactions within the province;

[0009] The pre-bid clearing results of the intra-provincial medium- and long-term power transactions are input into the medium- and long-term power market transaction optimization clearing model based on the MVCG mechanism to obtain the transaction volume and transaction price, thereby completing the rolling clearing of intra-provincial medium- and long-term transactions. The medium- and long-term power market transaction optimization clearing model based on the MVCG mechanism satisfies the transmission network constraints.

[0010] The further improvement of the intra-provincial medium- and long-term transaction rolling clearing method considering available transmission capacity described in this invention is as follows:

[0011] The process of obtaining the pre-bid clearing results of medium- and long-term power transactions within the province is as follows:

[0012] Obtain transaction-related information released by power trading institutions, including transaction time, transaction targets, electricity demand, transaction constraints, and market participants;

[0013] Obtain the declaration information of market entities;

[0014] Obtain the security constraints for conducting the transaction;

[0015] Based on the security constraints for the transaction, the information submitted by market participants is screened to obtain the pre-bid clearing result.

[0016] Before inputting the pre-bid clearing results of the intra-provincial medium- and long-term power transactions into the medium- and long-term power market transaction optimization clearing model based on the MVCG mechanism, the following steps are also included:

[0017] With the goal of maximizing social welfare, an objective function is constructed. Based on declaration constraints, clearing constraints, and transmission network constraints, the medium- and long-term electricity market transaction optimization clearing model based on the MVCG mechanism is constructed.

[0018] The objective function is:

[0019]

[0020] Where t represents the clearing period; d i p represents the winning bid amount for the i-th electricity user; i s represents the electricity price declared by the i-th electricity user; j p represents the winning bid volume of the j-th power generation company; j Let M represent the bid price of the j-th power generation enterprise; M represent the number of power users participating in the medium- and long-term market; and N represent the number of power generation enterprises participating in the medium- and long-term market.

[0021] The reporting constraints are as follows:

[0022] 0≤b i ≤B i LL i∈M

[0023] 0≤b j ≤B j LL j∈N

[0024]

[0025]

[0026] Among them, b i B represents the electricity consumption declared by the i-th electricity user; ib represents the maximum electricity consumption limit declared by the i-th electricity user; j This indicates the electricity volume declared by the j-th power generation company; B j This represents the upper limit of the electricity volume declared by the j-th power generation enterprise; and These represent the upper and lower limits of electricity prices that electricity users can declare; and These represent the upper and lower limits of electricity prices that power generation companies can declare, respectively; M represents the number of electricity users participating in the medium- and long-term market; N represents the number of power generation companies participating in the medium- and long-term market; p i p represents the electricity price declared by the i-th electricity user; j This represents the electricity price declared by the j-th power generation enterprise.

[0027] The clearing constraint is:

[0028] 0≤d i ≤b i LL i∈M

[0029] 0≤s j ≤b j LL j∈N

[0030]

[0031]

[0032] Where, d i b represents the winning bid amount for the i-th electricity user; i The s represents the electricity volume declared by the i-th electricity user; M represents the number of electricity users participating in the medium- and long-term market; j b represents the winning bid volume of the j-th power generation company; j This represents the electricity volume declared by the j-th power generation enterprise; N represents the number of power generation enterprises participating in the medium- and long-term market. and These represent the upper and lower limits of electricity prices that electricity users can declare; and These represent the upper and lower limits of electricity prices that power generation companies can declare; p i p represents the electricity price declared by the i-th electricity user; j This represents the electricity price declared by the j-th power generation enterprise.

[0033] The power transmission network constraints are:

[0034]

[0035]

[0036]

[0037] -δ j ≤s j,t -s j,t-1 ≤δ j LL j∈N

[0038] Where M represents the number of electricity users participating in the medium- and long-term market; N represents the number of power generation companies participating in the medium- and long-term market; s j L represents the winning bid volume of the j-th power generation company; loss Indicates transmission network losses; F j,l The power flow sensitivity factor of the power generation node where power generation company j is located to line l; d i F represents the winning bid amount for the i-th electricity user; i,l P represents the power flow sensitivity factor of the load node where power user i is located to line l; l,ATC This indicates the available transmission capacity of line l during the transaction period; This indicates the lower limit of the output power of generator unit j in the power generation company; This indicates the upper limit of the output power of generator unit j of the power generation company; This indicates the power generation output of power generation company j during the trading period as defined by the decomposition curve of medium- and long-term contracts in annual and monthly transactions; δ s This represents the maximum power output that market participant s can add or subtract per time period.

[0039] In a second aspect, the present invention provides a provincial medium- and long-term transaction rolling clearing system that takes into account available transmission capacity, comprising:

[0040] The pre-clearing module is used to obtain the pre-bid clearing results of medium- and long-term power transactions within the province;

[0041] The clearing module is used to input the pre-bid clearing results of the intra-provincial medium- and long-term power transactions into the medium- and long-term power market transaction optimization clearing model based on the MVCG mechanism, to obtain the transaction volume and transaction price, and to complete the rolling clearing of intra-provincial medium- and long-term transactions.

[0042] The further improvement of the provincial medium- and long-term transaction rolling clearing system that takes into account available transmission capacity described in this invention is as follows:

[0043] The pre-cleaning module includes:

[0044] The first acquisition module is used to acquire the declaration information of market entities;

[0045] The second acquisition module is used to acquire the security constraints for conducting transactions.

[0046] The filtering module is used to filter the declaration information of market participants based on the security constraints of the transaction to obtain the pre-bid clearing result.

[0047] Also includes:

[0048] The module is used to construct an objective function with the goal of maximizing social welfare, and to construct the medium- and long-term electricity market transaction optimization clearing model based on the MVCG mechanism, based on declaration constraints, clearing constraints, and network constraints.

[0049] The present invention has the following beneficial effects:

[0050] The provincial medium- and long-term power trading rolling clearing method and system, which considers available transmission capacity, described in this invention, in specific operation, inputs the pre-bid clearing results of the provincial medium- and long-term power trading into a medium- and long-term power market trading optimization clearing model based on the MVCG mechanism to obtain the traded electricity volume and price. The MVCG-based medium- and long-term power market trading optimization clearing model satisfies transmission network constraints, thus the clearing results satisfy the available transmission capacity of the transmission network. This not only reduces the difficulty and risk of transaction verification by dispatching agencies and the difficulty for market participants to formulate bidding strategies in subsequent transactions, but also ensures the stable and orderly operation of trading and the power grid. Simultaneously, this invention employs the MVCG mechanism to ensure incentive compatibility and individual rationality among market participants, minimizing social welfare losses while fairly distributing benefits according to the value of market participants, effectively promoting the submission of truthful price information by market participants. Attached Figure Description

[0051] The accompanying drawings, which form part of this specification, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an undue limitation of the invention. In the drawings:

[0052] Figure 1 This is a flowchart of the method of the present invention;

[0053] Figure 2 This is a schematic diagram of the present invention;

[0054] Figure 3 This is a schematic diagram illustrating the application process for market entities in this invention;

[0055] Figure 4a A schematic diagram showing when the demand curve of the electricity purchaser intersects with the supply curve of the electricity seller.

[0056] Figure 4b This is a schematic diagram showing the situation where the demand curve of the electricity purchaser and the supply curve of the electricity seller do not intersect, and the demand curve of the electricity purchaser is always greater than the supply curve of the electricity seller.

[0057] Figure 4c This is a schematic diagram illustrating the situation where the demand curve of the electricity purchaser does not intersect with the supply curve of the electricity seller, and the demand curve of the electricity purchaser is always smaller than the supply curve of the electricity seller.

[0058] Figure 5 This is a system structure diagram of the present invention. Detailed Implementation

[0059] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0060] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0061] The present invention will now be described in further detail with reference to the accompanying drawings:

[0062] Example 1

[0063] refer to Figure 1 and Figure 2 The intra-provincial medium- and long-term transaction rolling clearing method considering available transmission capacity, as described in this invention, includes the following steps:

[0064] 1) Before the market opens, the power trading institution releases relevant trading information, including the trading time, trading targets, electricity demand, trading constraints, and market participants.

[0065] 2) Market participants in the provincial medium- and long-term electricity market shall declare their daily time-of-use electricity price curves for the trading day; wherein, the market participants include power generation companies, electricity sales companies, electricity users and grid companies;

[0066] Optionally, in one embodiment of this application, the market participants in the provincial medium- and long-term daily rolling electricity trading market declare the information as the hourly electricity blocks for the entire day of the trading target when submitting their transaction declarations, such as... Figure 3 As shown, it includes:

[0067] The information to be submitted by market entities is as follows:

[0068]

[0069]

[0070]

[0071] in, This represents the time-of-use electricity price declared by the i-th market entity; and P i BP Let these represent the time-of-use electricity volume vector and time-of-use electricity price vector declared by the i-th market entity, respectively. This represents the electricity volume declared by market entity i during time period t; This represents the electricity volume declared by market entity i during time period t.

[0072] Before the deadline for submitting bids, the power trading institution will publicly disclose the current market supply and demand situation, including the total amount of electricity purchased and sold and the upper and lower limits of the submitted prices. Electricity buyers and sellers can modify or withdraw their submitted electricity amounts and prices at any time, with the last submitted data serving as the final record. By disclosing market information in real time during the bidding phase, price signals are conveyed to all market participants, guiding their bidding and ensuring fair market transactions and stable market prices.

[0073] 3) Before the transaction is cleared, the power dispatching agency submits the available transmission capacity of critical lines and the power generation capacity constraints of power plants to the power trading agency as security constraints for the transaction.

[0074] 4) Clearing without cybersecurity constraints: The power trading institution removes the declared data that does not meet the requirements for electricity volume and price based on the declared information of market participants, and obtains the pre-bid clearing results.

[0075] Optionally, in one embodiment of this application, based on the market participant declaration information, declaration data that does not meet the requirements for electricity volume and price are removed; the bids of electricity sellers for each time period are sorted in ascending order to form a supply curve; the bids of electricity buyers for each time period are sorted in descending order to form a demand curve; and a pre-bid clearing result is obtained using an unconstrained clearing method, including:

[0076] When the demand curve of the electricity buyer intersects the supply curve of the electricity seller, the electricity volume bid by the seller whose price is lower than the price corresponding to the intersection point, and the electricity volume bid by the buyer whose price is higher than the price corresponding to the intersection point, are all traded. The bid volume and price of the market participants at this time are used as the pre-bid clearing result. Figure 4a As shown.

[0077] When the demand curve of the electricity purchaser and the supply curve of the electricity seller do not intersect, and the demand curve of the electricity purchaser is consistently greater than the supply curve of the electricity seller, the total transaction volume is the smaller of the total volume declared by the electricity purchaser and the electricity seller. The declared volume and price of the market participants at this point are then used as the pre-bid clearing result. Figure 4b As shown.

[0078] The transaction fails when the buyer's demand curve and the seller's supply curve do not intersect, and the buyer's demand curve is consistently lower than the seller's supply curve. Figure 4c As shown.

[0079] 5) Establish a medium- and long-term electricity market transaction optimization and clearing model based on the MVCG mechanism, conduct centralized optimization and clearing of the pre-bid clearing results, obtain the transaction volume and transaction price, and complete the rolling clearing of medium- and long-term transactions within the province.

[0080] Optionally, in one embodiment of this application, based on the pre-bid clearing results, during the centralized optimization clearing process, a power flow sensitivity analysis method based on the Power Transfer Distribution Factor (PTDF) matrix is ​​used to calculate the power network flow, thereby obtaining constraints that satisfy the available transmission capacity of the lines, including:

[0081] The formula for calculating the power transmission allocation factor matrix is ​​as follows:

[0082] H'=[diag(1 / X)C']{C' T diag(1 / X)C'} -1

[0083]

[0084] Where H' represents the PTDF matrix excluding the reference bus; x i C represents the reactance of branch i; C' is the matrix after removing the column containing the reference bus from C.

[0085] The formula for constraining the available transmission capacity of the critical path is:

[0086]

[0087] Where, d i s represents the winning bid amount for the i-th electricity user; j F represents the winning bid volume of the j-th power generation company; j,l F represents the power flow sensitivity factor of the power generation node where power generation company j is located to line l; i,l P represents the power flow sensitivity factor of the load node where power user i is located to line l; l,ATCThis indicates the available transmission capacity of line l during the transaction period.

[0088] Optionally, in one embodiment of this application, the objective function and constraints considered in the provincial electricity medium- and long-term market daily rolling transaction clearing model include:

[0089] The objective function of the long-term continuous centralized bidding and clearing model for electricity is to maximize social welfare, i.e.:

[0090]

[0091] Where t represents the clearing period; d i p represents the winning bid amount for the i-th electricity user; i s represents the electricity price declared by the i-th electricity user; j p represents the winning bid volume of the j-th power generation company; j Let M represent the bid price of the j-th power generation enterprise; M represent the number of power users participating in the medium- and long-term market; and N represent the number of power generation enterprises participating in the medium- and long-term market.

[0092] Declaration constraints include non-negative constraints on the declared electricity volume for power users and power generation companies, constraints that the declared electricity volume cannot exceed their own maximum demand / supply, and constraints that the declared electricity price is less than or equal to the market limit value.

[0093] 0≤b i ≤B i LL i∈M

[0094] 0≤b j ≤B j LL j∈N

[0095]

[0096]

[0097] Among them, b i B represents the electricity consumption declared by the i-th electricity user; i b represents the maximum electricity consumption limit declared by the i-th electricity user; j This indicates the electricity volume declared by the j-th power generation company; B j This represents the upper limit of the electricity volume declared by the j-th power generation enterprise; and These represent the upper and lower limits of electricity prices that electricity users can declare; and These represent the upper and lower limits of the electricity price that power generation companies can declare.

[0098] Clearing constraints include the constraint that the cleared volume of electricity users and power generation companies is non-negative and less than or equal to their own declared volume, and the constraint that the marginal clearing price of electricity users and power generation companies is less than or equal to the market limit value, i.e.

[0099] 0≤d i ≤b i LL i∈M

[0100] 0≤s j ≤b j LL j∈N

[0101]

[0102]

[0103] Network constraints include power balance constraints that take into account transmission network losses, available transmission capacity constraints on lines, and upper and lower limits of output power constraints and load increase / decrease rate constraints for generating units.

[0104]

[0105]

[0106]

[0107] -δ j ≤s j,t -s j,t-1 ≤δ j LL j∈N

[0108] Among them, L loss Indicates transmission network losses; F j,l F represents the power flow sensitivity factor of the power generation node where power generation company j is located to line l; i,l P represents the power flow sensitivity factor of the load node where power user i is located to line l; l,ATC This indicates the available transmission capacity of line l during the transaction period; This indicates the lower limit of the output power of generator unit j in the power generation company; This indicates the upper limit of the output power of generator unit j of the power generation company; This indicates the power generation output of power generation company j during the trading period as defined by the decomposition curve of medium- and long-term contracts in annual and monthly transactions; δ s This represents the maximum power output that market participant s can add or subtract per time period.

[0109] 6) By using a centralized optimization clearing model, the social welfare of each market participant when they do not participate in market transactions is solved, and the social benefit costs required for settlement by each market participant are calculated accordingly.

[0110] Optionally, in one embodiment of this application, a VCG mechanism based on marginal electricity price improvement is used. This mechanism uses the price information of the market entity before the intersection of the supply and demand curves as the marginal clearing price for buyers and the marginal clearing price for sellers. The MVCG mechanism redistributes this portion of the income and expenditure difference based on the market entity's contribution to the total social welfare, and divides the market entity's payment / income into two parts: basic settlement fee and social benefit fee.

[0111] The formula for calculating the market benefit coefficient is:

[0112]

[0113]

[0114] Among them, K d,i K represents the market benefit coefficient of buyer i; s,j F(d,s) represents the market benefit coefficient of seller j; F(d,s) represents the maximum social welfare when all market participants participate in the transaction; F max (d -i ,s), F max (d,s -j ) represent the maximum social welfare of market entities i and j when they do not participate in the transaction, respectively.

[0115] The formulas for calculating the buyer's payment and the seller's revenue are as follows:

[0116]

[0117]

[0118] in, and These represent the buyer's payment and the seller's revenue, respectively; p d This represents the buyer's marginal clearing price; p s This indicates the seller's marginal clearing electricity price.

[0119] 7) After safety inspection, the results of medium- and long-term daily electricity transactions will be publicized.

[0120] Example 2

[0121] refer to Figure 5 The provincial medium- and long-term transaction rolling clearing system considering available transmission capacity, as described in this invention, includes:

[0122] Pre-clearing module 1 is used to obtain the pre-bid clearing results of medium- and long-term power transactions within the province;

[0123] Module 3 is used to construct an objective function with the goal of maximizing social welfare, and to construct the medium- and long-term electricity market transaction optimization clearing model based on the MVCG mechanism, based on declaration constraints, clearing constraints, and network constraints.

[0124] Clearing module 2 is used to input the pre-bid clearing results of the intra-provincial medium and long-term power transactions into the medium and long-term power market transaction optimization clearing model based on the MVCG mechanism to obtain the transaction volume and transaction price, and complete the rolling clearing of intra-provincial medium and long-term transactions.

[0125] Specifically, in this embodiment, the pre-clearing module 1 includes:

[0126] The first acquisition module 11 is used to acquire the declaration information of market entities;

[0127] The second acquisition module 12 is used to acquire the security constraints for conducting transactions;

[0128] The screening module 13 is used to screen the declaration information of market participants based on the security constraints of the transaction to obtain the pre-bid clearing result.

[0129] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A rolling out-clearance method for inter-day-ahead trading considering available transmission capability, characterized in that, include: Obtain the pre-bid clearing results for medium- and long-term power transactions within the province; The pre-bid clearing results of the intra-provincial medium- and long-term power transactions are input into the medium- and long-term power market transaction optimization clearing model based on the MVCG mechanism to obtain the transaction volume and transaction price, thereby completing the rolling clearing of intra-provincial medium- and long-term transactions. The medium- and long-term power market transaction optimization clearing model based on the MVCG mechanism satisfies the transmission network constraints. Before inputting the pre-bid clearing results of the intra-provincial medium- and long-term power transactions into the medium- and long-term power market transaction optimization clearing model based on the MVCG mechanism, the following steps are also included: With the goal of maximizing social welfare, an objective function is constructed. Based on declaration constraints, clearing constraints, and transmission network constraints, the medium- and long-term electricity market transaction optimization clearing model based on the MVCG mechanism is constructed. The objective function is: in, t Indicates the clearing period; d i Indicates the first i The electricity volume won by each power user; p i Indicates the first i The electricity price declared by each electricity user; s j Indicates the first j The electricity volume won by each power generation company; p j Indicates the first j The electricity price declared by each power generation enterprise; M represents the number of electricity users participating in the medium- and long-term market; N represents the number of power generation enterprises participating in the medium- and long-term market; The clearing constraint is: in, d i Indicates the first i The electricity volume won by each power user; b i Indicates the first i Each electricity user declares their electricity volume; M represents the number of electricity users participating in the medium- and long-term market. s j Indicates the first j The electricity volume won by each power generation company; b j Indicates the first j The power generation companies declare their electricity volume; N represents the number of power generation companies participating in the medium- and long-term market. and These represent the upper and lower limits of electricity prices that electricity users can declare; and These represent the upper and lower limits of electricity prices that power generation companies can declare, respectively. p i Indicates the first i The electricity price declared by each electricity user; p j Indicates the first j The electricity price declared by each power generation company; The power transmission network constraints are: Where M represents the number of electricity users participating in the medium- and long-term market; N represents the number of power generation companies participating in the medium- and long-term market; s j Indicates the first j The electricity volume won by each power generation company; Indicates power transmission network losses; This indicates that the power generation node where power generation company j is located is connected to the transmission line. l The power flow sensitivity factor; d i Indicates the first i The electricity volume won by each power user; Indicates electricity user i The load node is located on the line l The power flow sensitivity factor; Indicates the line l Available transmission capacity during transaction periods; Indicates power generation companies j Lower limit of unit output power; Indicates power generation companies j Maximum output power of the unit; Indicates power generation companies j The power generation output of medium- and long-term contracts has been determined during the trading period in annual and monthly transactions; δ s Indicating market participants on the power generation side s The maximum value that can be added or subtracted for each time period.

2. The method of claim 1, wherein the method further comprises: The process of obtaining the pre-bid clearing results of medium- and long-term power transactions within the province is as follows: Obtain transaction-related information released by power trading institutions, including transaction time, transaction targets, electricity demand, transaction constraints, and market participants; Obtain the declaration information of market entities; Obtain the security constraints for the transaction to proceed; Based on the security constraints for the transaction, the information submitted by market participants is screened to obtain the pre-bid clearing result.

3. The method of claim 1, wherein the method further comprises: The reporting constraints are as follows: in, b i Indicates the first i Electricity consumption reported by individual electricity users; B i Indicates the first i The maximum electricity consumption limit that each electricity user can declare; b j Indicates the first j Each power generation company reported its electricity volume; B j Indicates the first j The maximum electricity volume that each power generation company can declare; and These represent the upper and lower limits of electricity prices that electricity users can declare; and These represent the upper and lower limits of the electricity price that power generation companies can declare, respectively; M represents the number of electricity users participating in the medium- and long-term market; N represents the number of power generation companies participating in the medium- and long-term market. p i Indicates the first i The electricity price declared by each electricity user; p j Indicates the first j The electricity price declared by each power generation company.

4. A provincial medium- and long-term transaction rolling clearing system that takes into account available transmission capacity, characterized in that, include: The pre-clearing module (1) is used to obtain the pre-bid clearing results of medium- and long-term power transactions within the province; The clearing module (2) is used to input the pre-bid clearing results of the medium and long-term power transactions in the province into the medium and long-term power market transaction optimization clearing model based on the MVCG mechanism to obtain the transaction volume and transaction price, and complete the rolling clearing of medium and long-term power transactions in the province. The medium and long-term power market transaction optimization clearing model based on the MVCG mechanism satisfies the transmission network constraints. Before inputting the pre-bid clearing results of the intra-provincial medium- and long-term power transactions into the medium- and long-term power market transaction optimization clearing model based on the MVCG mechanism, the following steps are also included: With the goal of maximizing social welfare, an objective function is constructed. Based on declaration constraints, clearing constraints, and transmission network constraints, the medium- and long-term electricity market transaction optimization clearing model based on the MVCG mechanism is constructed. The objective function is: in, t Indicates the clearing period; d i Indicates the first i The electricity volume won by each power user; p i Indicates the first i The electricity price declared by each electricity user; s j Indicates the first j The electricity volume won by each power generation company; p j Indicates the first j The electricity price declared by each power generation enterprise; M represents the number of electricity users participating in the medium- and long-term market; N represents the number of power generation enterprises participating in the medium- and long-term market; The clearing constraint is: in, d i Indicates the first i The electricity volume won by each power user; b i Indicates the first i Each electricity user declares their electricity volume; M represents the number of electricity users participating in the medium- and long-term market. s j Indicates the first j The electricity volume won by each power generation company; b j Indicates the first j The power generation companies declare their electricity volume; N represents the number of power generation companies participating in the medium- and long-term market. and These represent the upper and lower limits of electricity prices that electricity users can declare; and These represent the upper and lower limits of electricity prices that power generation companies can declare, respectively. p i Indicates the first i The electricity price declared by each electricity user; p j Indicates the first j The electricity price declared by each power generation company; The power transmission network constraints are: Where M represents the number of electricity users participating in the medium- and long-term market; N represents the number of power generation companies participating in the medium- and long-term market; s j Indicates the first j The electricity volume won by each power generation company; Indicates power transmission network losses; This indicates that the power generation node where power generation company j is located is connected to the transmission line. l The power flow sensitivity factor; d i Indicates the first i The electricity volume won by each power user; Indicates electricity user i The load node is located on the line l The power flow sensitivity factor; Indicates the line l Available transmission capacity during transaction periods; Indicates power generation companies j Lower limit of unit output power; Indicates power generation companies j Maximum output power of the unit; Indicates power generation companies j The power generation output of medium- and long-term contracts has been determined during the trading period in annual and monthly transactions; δ s Indicating market participants on the power generation side s The maximum value that can be added or subtracted for each time period.

5. The rolling out-clear system for inter-regional mid-long term trading considering available transmission capability according to claim 4, characterized in that, The pre-clearing module (1) includes: The first acquisition module (11) is used to acquire the declaration information of market entities; The second acquisition module (12) is used to acquire the security constraints for the transaction; The screening module (13) is used to screen the declaration information of market participants based on the security constraints of the transaction to obtain the pre-bid clearing result.

6. The rolling out-clear system for inter-regional mid-long term trading considering available power transmission capability according to claim 4, characterized in that, Also includes: The construction module (3) is used to construct an objective function with the goal of maximizing social welfare, and to construct the medium- and long-term power market transaction optimization clearing model based on the MVCG mechanism based on declaration constraints, clearing constraints and grid constraints.

Images