CN112330486A - Listing transaction optimization decision method for cross-regional tie line state abnormity - Google Patents

Abstract

The invention discloses a listing transaction optimization decision method for cross-regional junctor state abnormity, which comprises the following steps: step S1: judging whether the power fluctuation of the receiving end of the cross-provincial junctor meets the requirement of power supply reliability or not within a set time period, and if not, giving an electric quantity gap; step S2: converting information of declared electric quantity, located areas and the like of the renewable energy power generators participating in the listing transaction into binary electric quantity codes, and calculating expected total loss electric quantity of each power generator according to the binary electric quantity codes; step S3: arranging the electric quantity codes of the generators according to the sequence that the expected total loss electric quantity accounts for less than or equal to more than the corresponding declared electric quantity, outputting the declared electric quantity stored in each electric quantity code in sequence until the sum of the declared electric quantity is more than the listing electric quantity, wherein the output declared electric quantity is the pre-listing electric quantity of the listing transaction. The invention has the advantages of simple principle, simple and convenient operation, easy realization, capability of effectively reducing the fault of the trading center in the cross-provincial connecting line and the like.

Description

Listing transaction optimization decision method for cross-regional tie line state abnormity

Technical Field

The invention mainly relates to the technical field of electric power market trading decision-making, in particular to a cross-regional tie line state abnormal branding trading optimization decision-making method.

Background

With global warming, energy crisis and environmental issues becoming more and more prominent, energy structures are gradually improved, and the rapid development of renewable energy sources including wind energy and solar energy has become a current widespread consensus. Therefore, the development of the renewable energy industry is vigorously supported by the country, and a series of policy documents are issued, wherein the most representative policy is 'renewable energy quota', namely, renewable energy power generation should achieve a certain proportion in the total power consumption of the society. In recent years, the quota system is refined into a non-water renewable energy quota, and policy requirements are also put forward on the proportion of wind-solar power generation. Taking Hunan province as an example, due to abundant water resource reserves in Hunan province and relative scarcity of wind and light resources, the wind and light resources are purchased outside through QiShao direct current and Exiang connecting lines. In this case, if the huxiang link fails and the wind power and the photovoltaic power are reduced, there is a risk that the quota cannot be completed. Under the condition, how to timely develop QiShao external electricity purchasing according to the state of a connecting line and optimize the electricity purchasing process become a very concerned problem of the province trading center, and the optimization is developed for the listing trade considering that the current QiShao external electricity purchasing is carried out in the listing trade mode. The above analysis is performed only by taking the province of Hunan province as an example, and the above problem is actually an urgent problem to be solved at many provinces and nationwide level.

In the prior art, the listing transaction process is optimized on a macro level so as to improve the enthusiasm of each party participating in the listing transaction or realize the connection between medium-long term transaction and spot transaction.

For example, chinese patent application No. 201810135494.2 ("on-site listing transaction method based on standardized electric power delivery curve"), proposes an on-site listing transaction method based on standardized electric power delivery curve, in which the two parties sign on-site listing transaction contracts according to the formed 24-point electric power delivery curve, in order to solve the problem of the connection between the medium-and long-term electric power market and the spot market. The method has important reference significance for building a power market system with a middle-long-term market and a spot market closely linked.

For another example, chinese patent application No. 201710758259.6 ("an incentive compatibility listing electric power trading system and trading method"), proposes an incentive compatibility listing electric power trading system and trading method, which can mobilize the bidding enthusiasm of bidders in listing trading, and through an incentive method of price difference return, promote effective successful winning of electric power trading, forming a multi-win mechanism.

The prior technical scheme optimizes the listing transaction process to promote the construction of an electric power market system and improve the market enthusiasm of each party in the transaction. However, they do not combine the on-card transaction with the tie line status, and do not relate to how to optimize the decision in the on-card transaction by the transaction center as the buyer in case of tie line abnormality.

Therefore, in order to complete the national non-water renewable energy quota for the condition that the wind and light power sent by the abnormal junctor is reduced, a circuit and a method which combine junctor state judgment with pricing listing transaction and can optimize buyer listing transaction decision need to be developed.

Disclosure of Invention

The technical problem to be solved by the invention is as follows: aiming at the technical problems in the prior art, the invention provides a listing transaction optimization decision-making method which is simple in principle, simple and convenient to operate, easy to implement and capable of effectively reducing abnormal cross-regional tie line states when a cross-provincial tie line of a transaction center fails.

In order to solve the technical problems, the invention adopts the following technical scheme:

a cross-regional tie line state abnormal listing transaction optimization decision method comprises the following steps:

step S1: judging whether the power fluctuation of the receiving end of the cross-provincial junctor meets the requirement of power supply reliability or not within a set time period, and if not, giving an electric quantity gap;

step S2: converting information of declared electric quantity, located areas and the like of the renewable energy power generators participating in the listing transaction into binary electric quantity codes, and calculating expected total loss electric quantity of each power generator according to the binary electric quantity codes;

step S3: arranging the electric quantity codes of the generators according to the sequence that the expected total loss electric quantity accounts for less than or equal to more than the corresponding declared electric quantity, outputting the declared electric quantity stored in each electric quantity code in sequence until the sum of the declared electric quantity is more than the listing electric quantity, wherein the output declared electric quantity is the pre-listing electric quantity of the listing transaction.

As a further improvement of the process of the invention: the step S1 includes:

step S101: receiving end power per second of detected trans-provincial junctor_iThe sum-mean calculator stores the receiving-end power mean value P_aveSubtracting to obtain receiving end power deviation delta P_i(ii) a Calculating Δ P by comparison_iClimbing allowable lower limit value lambda of cross-provincial junctor_dDifference Δ C of_iWherein (i ═ 1, 2.., 60), the counter internal value M is incremented by 1 each time it is calculated; when Δ C_iOutput Δ C less than zero_iStoring the data in a register, and repeating the processes until M is 60; at the moment, the detected M receiving end power data are summed to obtain receiving end electric energy W in one minute, and the register outputs all currently stored difference values delta C_iThe mean value calculator simultaneously calculates and updates M receiving end power data mean values P_ave，P_aveTaking P as initial value₁The average value of the first M receiving ends;

step S102: Δ C to register output_iTaking absolute value and summing to obtain C_mThe comparator compares C_mAnd calculating critical value C of electric quantity of the hang tag_limitComparing; if C_mNot less than C_limitCalculating the electric quantity of the hang tag, and calculating the electric quantity Q of the hang tag_signTransferring to a register for storage; if C_mLess than C_limitQ passed to register_signIs 0;

step S103: receiving endThe trading center presets the reliability of power supply of the cross-provincial junctor, and the original planned electric quantity of the receiving end in every minute is Q_planThen critical value C_limit＝(1-β)Q_planThe calculated electric quantity Q of the hang tag_signIs Q_planDifference value of receiving end electric energy W in one minute;

step S104: summing all the electric quantities of the hang tags stored in the register at intervals to obtain a total electric quantity Q of the hang tags_sign，A。

As a further improvement of the process of the invention: in step S104, the receiving end predetermined planned electric quantity is Q within the time period_plan，AIs mixing Q with_sign，AAnd (1-. beta.) Q_plan，AComparing; if Q_sign，AGreater than (1-. beta.) Q_sign，AIf the tie line is abnormal, Q is output_sign，ATo the termination signal controller and transmit the opening and listing transaction signal to the general transaction center when Q is_sign，ANot more than (1-. beta.) Q_sign，AIn time, the junctor is normal.

As a further improvement of the process of the invention: the step S2 includes:

step S201: the electric quantity code converter receives the electric quantity Q reported by each generator participating in the listing transaction in the transmission area of the main transaction center_jAnd the province where the electric quantity is located, and converting the electric quantity into a binary electric quantity code B_jPutting the obtained product into a register for storage;

step S202: the electric quantity code transmitter sequentially acquires electric quantity codes B of all power generators_jTransmitting the region position to the general Kyoto transaction center to call B_jResidual transmission electric quantity Q of power transmission section of area_{rem_j}Critical electric quantity Q for making section in non-out-of-limit state_{cri_j}And average line loss I of corresponding power generation businessman connecting line_j；

Step S203: when declaring the electric quantity Q_jWhen the transmission section is in an out-of-limit state, Q_jAnd Q_{cri_j}Subtracting to obtain Q_jOut of limit value, and Q_{rem_j}、Q_{cri_j}The difference between the two is divided to obtain Q_jIs adjusted to a probability P_{adj_j}The adjusted transmission electric quantity is Q_{cri_j}Separately calculate P_{adj_j}And Q_{cri_j}、1-P_{adj_j}And Q_jThe product of the two is summed to obtain the expected value E (Q) of the receiving end receiving electric quantity_j) It is reacted with I_jMultiplying to obtain Q_jDesired line loss L of_{exp_j}，Q_jAnd E (Q)_j) There is a deviation between, the deviation value is Q_jIs expected to deviate the electric quantity L_{adj_j}，L_{exp_j}And L_{adj_j}The two are summed to obtain Q_jDesired total power loss L_{all_j}。

As a further improvement of the process of the invention: in the step S201, the step B_jComposed of reporting position, total loss position and ground position, which respectively reflect the reported electric quantity Q_jNumerical value, transfer Q_jExpected total amount of power loss L generated_{all_j}And Q_jThe area of the sending end.

As a further improvement of the process of the invention: in the step S3, the power code sequencer determines the expected total power loss L_{all_j}And correspondingly declares electric quantity Q_jSequencing the electric quantity codes in the sequence from small to large, and outputting electric quantity Q correspondingly declared by the declaration bit of the electric quantity codes in sequence_j，Q_jNamely the pre-picking electric quantity of the generator j corresponding to the electric quantity code, and calculating the sum Q of the output pre-picking electric quantities in real time_sumComparison of Q_sumNot less than Q_sign，AA decision is formed.

As a further improvement of the process of the invention: when Q is_sumNot less than Q_sign，AThen, the pre-picking electric quantity output is stopped, and Q is calculated_sumAnd Q_sign，ADifference Q of_gapCalculating the output Q_jAt Q_sumRatio of (1) to (B)_jIs a reaction of K_jAnd Q_gapMultiplying to obtain Q_jElectric quantity Q to be reduced_j，sub，Q_jAnd Q_j，subObtaining the actual picking electric quantity Q of the generator j by calculating the difference_j，rel。

Compared with the prior art, the invention has the advantages that: the listing transaction optimization decision method for the abnormal state of the cross-regional connecting line has the advantages of simple principle, simple and convenient operation and easy realization, can effectively reduce the fault of the cross-provincial connecting line in a transaction center, and can complete the cross-regional electricity purchasing transaction cost of the intra-provincial renewable energy quota.

Drawings

FIG. 1 is a schematic flow diagram of the process of the present invention.

FIG. 2 is a schematic diagram of the present invention in an embodiment.

Fig. 3 is a schematic diagram of the electric quantity reported to the trading center by the generator and the average line loss of the connecting line sent to the Hunan by the generator in the specific application example of the invention.

Fig. 4 is a schematic diagram of the cross-sectional remaining delivered-charge and critical-charge released in an embodiment of the present invention.

FIG. 5 is a diagram showing comparison of results before and after optimization of listing transactions in a specific application example.

Detailed Description

The invention will be described in further detail below with reference to the drawings and specific examples.

As shown in fig. 1 and fig. 2, the method for optimizing and deciding on the listing transaction of the cross-regional tie line state abnormality according to the present invention includes the steps of:

step S1: judging whether the power fluctuation of the receiving end of the cross-provincial junctor meets the requirement of power supply reliability or not within a set time period, and if not, giving an electric quantity gap;

step S2: converting information of declared electric quantity, located areas and the like of renewable energy power generators participating in listing transaction into binary electric quantity codes, and calculating expected total loss electric quantity of each power generator according to the binary electric quantity codes:

step S3: arranging the electric quantity codes of the generators according to the sequence that the expected total loss electric quantity accounts for less than or equal to more than the corresponding declared electric quantity, outputting the declared electric quantity stored in each electric quantity code in sequence until the sum of the declared electric quantity is more than the listing electric quantity, wherein the output declared electric quantity is the pre-listing electric quantity of the listing transaction.

In a specific application example, step S1 includes:

step S101: receiving end power per second of detected trans-provincial junctor_iThe sum-mean calculator stores the receiving-end power mean value P_aveSubtracting to obtain receiving end power deviation delta P_i(ii) a Calculating Δ P by a comparator_iAnd cross provinceJunctor grade climbing allowable lower limit value lambda_dDifference Δ C of_i(i 1, 2.., 60), adding 1 to the counter value M every time the counter value M is calculated; when Δ C_iOutput Δ C less than zero_iStoring the data in a register, and repeating the processes until M is 60; at the moment, the detected M receiving end power data are summed to obtain receiving end electric energy W in one minute, and the register outputs all currently stored difference values delta C_iThe mean value calculator simultaneously calculates and updates M receiving end power data mean values P_ave，P_aveTaking P as initial value₁The first M receive-end power averages.

Step S102: Δ C to register output_iTaking absolute value and summing to obtain C_mThe comparator compares C_mAnd calculating critical value C of electric quantity of the hang tag_limitComparing; if C_mNot less than C_limitCalculating the electric quantity of the hang tag, and calculating the electric quantity Q of the hang tag_signTransferring to a register for storage; if C_mLess than C_limitQ passed to register_signIs 0.

Step S103: the receiving end trading center presets the reliability of power supply across provincial junctor, for example, beta is 90%, and the original planned electric quantity of the receiving end in every minute is Q_planThen critical value C_limit＝(1-β)Q_planThe calculated electric quantity Q of the hang tag_signIs Q_planDifference from the receiving end electric energy W in one minute.

Step S104: summing all the electric quantities stored in the register at a certain time interval (e.g. six hours) to obtain a total electric quantity Q_sign，AThe receiving end originally planned electric quantity is Q within six hours_plan，AIs mixing Q with_sign，AAnd (1-. beta.) Q_plan，AComparing; if Q_sign，AGreater than (1-. beta.) Q_sign，AIf the tie line is abnormal, Q is output_sign，ATo the termination signal controller and transmit the opening and listing transaction signal to the Beijing transaction center, when Q is_sign，ANot more than (1-. beta.) Q_sign，AIn time, the junctor is normal.

In a specific application example, step S2 includes:

step S201: the electric quantity code converter receives the total transactionElectric quantity Q reported by each generator in participated listing transaction in central transfer area_jAnd the province where the electric quantity is located, and converting the electric quantity into a binary electric quantity code B_jPut into a register for storage, B_jComposed of reporting position, total loss position and ground position, which respectively reflect the reported electric quantity Q_jNumerical value, transfer Q_jExpected total amount of power loss L generated_{all_j}And Q_jThe area of the sending end.

Step S202: the electric quantity code transmitter sequentially acquires electric quantity codes B of all power generators_jTransmitting the region position to the general Kyoto transaction center to call B_jResidual transmission electric quantity Q of power transmission section of area_{rem_j}Critical electric quantity Q for making section in non-out-of-limit state_{cri_j}And average line loss I of corresponding power generation businessman connecting line_j。

Step S203: when declaring the electric quantity Q_jWhen the transmission section is in an out-of-limit state, Q_jAnd Q_{cri_j}Subtracting to obtain Q_jOut of limit value, and Q_{rem_j}、Q_{cri_j}The difference between the two is divided to obtain Q_jIs adjusted to a probability P_{adj_j}The adjusted transmission electric quantity is Q_{cri_j}Separately calculate P_{adj_j}And Q_{cri_j}、1-P_{adj_j}And Q_jThe product of the two is summed to obtain the expected value E (Q) of the receiving end receiving electric quantity_j) It is reacted with I_jMultiplying to obtain Q_jDesired line loss L of_{exp_j}，Q_jAnd E (Q)_j) There is a deviation between, the deviation value is Q_jIs expected to deviate the electric quantity L_{adj_j}，L_{exp_j}And L_{adj_j}The two are summed to obtain Q_jDesired total power loss L_{all_j}。

In the specific application example, in step S3, the power code sequencer orders the expected total power loss L_{all_j}And correspondingly declares electric quantity Q_jSequencing the electric quantity codes in the sequence from small to large, and outputting electric quantity Q correspondingly declared by the declaration bit of the electric quantity codes in sequence_j，Q_jNamely the pre-picking electric quantity of the generator j corresponding to the electric quantity code, and calculating the sum Q of the output pre-picking electric quantities in real time_sumWhen Q is_sumNot less than Q_sign，AWhen the pre-picking of the cards is finishedOutput, and calculate Q_sumAnd Q_sign，ADifference Q of_gapCalculating the output Q_jAt Q_sumRatio of (1) to (B)_jIs a reaction of K_jAnd Q_gapMultiplying to obtain Q_jElectric quantity Q to be reduced_j，sub，Q_jAnd Q_j，subObtaining the actual picking electric quantity Q of the generator j by calculating the difference_j，rel。

Referring to fig. 3 to 5, in a specific application example, aiming at the deviation between send-to-Hunan wind, light and electricity and the original plan caused by the abnormal state of the tie line, in order to meet the non-water renewable energy quota requirement and reduce the cost of purchasing electricity from the wind, the invention provides a new trading method for a trading center, namely, a cross-regional tie line state abnormal listing trading optimization decision method of the invention, which is shown in fig. 1. In this example, the detailed procedure is as follows:

(1) the power supply reliability β across the provincial junctor is set to 90%.

(2) Detecting the receiving end power P per minute_iAnd the receiving end power mean value P of the previous minute_aveDifferential receiving end power deviation delta P_iCalculating Δ P_iClimbing allowable lower limit value lambda of cross-provincial junctor_dDifference Δ C of_i(i ═ 1, 2.., 60), converting Δ C to_iTaking absolute value and summing to obtain C_mIf C is_mNot less than C_limitThen hang the tablet electric quantity Q_signFor per minute internal receiving end predetermined planned electric quantity Q_planThe difference value of the receiving end electric energy W in the time interval, if C_mLess than C_limitElectric quantity Q of hanging tag_signIs 0.

(3) Summing all the electric quantities stored in the register every six hours to obtain a total electric quantity Q of the hang tag_sign，AThe receiving end originally planned electric quantity is Q within six hours_plan，AIs mixing Q with_sign，AAnd (1-. beta.) Q_plan，ABy comparison, if Q_sign，AGreater than (1-. beta.) Q_sign，AIf the tie line is abnormal, Q is output_sign，ATo the termination signal controller and transmit the opening and listing transaction signal to the Beijing transaction center, when Q is_sign，ANot more than (1-. beta.) Q_sign，AIn time, the junctor is normal.

(4) Setting the total hanging electric quantity Q_sign，AAnd is 220 MW.h.

(5) The electric quantity code converter receives the electric quantity Q reported by each generator participating in the listing transaction in northwest from the Beijing trading center_jAnd the province where the data is located, as shown in FIG. 2, the data is converted into a binary electricity quantity code B_jPut into a register for storage, B_jComposed of declaration bit, total loss bit and area bit, the electric quantity code transmitter can obtain electric quantity codes B of various generators in turn_jTransmitting the location to Beijing trading center to call B_jResidual transmission electric quantity Q of power transmission section of area_{rem_j}Critical electric quantity Q for making section in non-out-of-limit state_{cri_j}And average line loss I of corresponding power generation businessman connecting line_jThe specific data are shown in fig. 3.

(6) When declaring the electric quantity Q_jWhen the transmission section is in the out-of-limit state, taking the generator A as an example, Q is used_jAnd Q_{cri_j}Subtracting to obtain Q_jOut of limit value, and Q_{rem_j}、Q_{cri_j}The difference between the two is divided to obtain Q_jIs adjusted to a probability P_{adj_j}16.67%, the adjusted transmission power is Q_{cri_j}Separately calculate P_{adj_j}And Q_{cri_j}、1-P_{adj_j}And Q_jThe product of the two is summed to obtain the expected value E (Q) of the receiving end receiving electric quantity of the power generator A_j) 115MW.h, with I_jMultiplying to obtain the expected line loss L of the power generator A_{exp_j}＝6.82MW.h，Q_jAnd E (Q)_j) There is a deviation between them, which is the expected deviation electric quantity L of the generator A_{adj_j}，L_{adj_j}＝5MW.h，L_{exp_j}And L_{adj_j}The two are summed to obtain the expected total loss L of the power generator A_{all_j}The total loss was expected to be 9.85% at 11.82 mw.h.

(7) The electric quantity code sequencer according to the expected total electric quantity loss L_{all_j}And correspondingly declares electric quantity Q_jSequencing the electric quantity codes in the sequence from small to large, and outputting electric quantity Q correspondingly declared by the declaration bit of the electric quantity codes in sequence_j，Q_jNamely the pre-picking electric quantity of the generator j corresponding to the electric quantity code, and calculating the sum Q of the output pre-picking electric quantities in real time_sumWhen Q is_sumNot less than Q_sign，AWhen the pre-picking electric quantity is output, the pre-picking electric quantities of the generator B and the generator F are output through optimized calculation, and Q is calculated_sumAnd Q_sign，ADifference Q of_gap25mw.h, Q output from power generator B, F_jAt Q_sumRatio of (1) to (B)_j0.6 and 0.4 respectively, adding K_jAnd Q_gapThe power quantities which are multiplied to be respectively adjusted and reduced by the power generator B, F are 15MW.h and 10MW.h, and the power quantities are different from the pre-branding power quantity of the power generator B, F, so that the actual branding power quantity of the power generator B is respectively 120MW.h and 80 MW.h.

As shown in fig. 4, for comparison of results before and after the listing transaction is optimized in the above embodiment, it can be seen from fig. 4 that after the listing transaction process is optimized, the expected total power loss ratio in the obtained picking power is the smallest. In the electricity market, buyers mainly aim at the supply protection and cost reduction, and the essence of the two goals is to reduce the uncertainty of the purchased electricity quantity as much as possible under the same price in the pricing and listing transaction. The uncertainty of the electric quantity mainly comes from the line loss of the interconnection line and the adjustment of the power transmission plan, wherein the uncertainty of the line loss is quantified by the expected line loss electric quantity, the uncertainty of the adjustment of the power transmission plan is quantified by the expected deviation electric quantity, and the total uncertainty of an expected total power loss electric quantity meter. Therefore, the total loss-to-occupation ratio is expected to represent the uncertainty of a certain electric quantity, and the smaller the value of the total loss-to-occupation ratio is, the higher the reliability of obtaining the corresponding electric quantity is, and the more beneficial the purposes of supply conservation and cost reduction are achieved.

The above is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above-mentioned embodiments, and all technical solutions belonging to the idea of the present invention belong to the protection scope of the present invention. It should be noted that modifications and embellishments within the scope of the invention may be made by those skilled in the art without departing from the principle of the invention.

Claims (7)

1. A cross-regional tie line state abnormal listing transaction optimization decision method is characterized by comprising the following steps:

step S1: judging whether the power fluctuation of the receiving end of the cross-provincial junctor meets the requirement of power supply reliability or not within a set time period, and if not, giving an electric quantity gap;

step S2: converting information of declared electric quantity, located areas and the like of the renewable energy power generators participating in the listing transaction into binary electric quantity codes, and calculating expected total loss electric quantity of each power generator according to the binary electric quantity codes;

step S3: arranging the electric quantity codes of the generators according to the sequence that the expected total loss electric quantity accounts for less than or equal to more than the corresponding declared electric quantity, outputting the declared electric quantity stored in each electric quantity code in sequence until the sum of the declared electric quantity is more than the listing electric quantity, wherein the output declared electric quantity is the pre-listing electric quantity of the listing transaction.

2. The method for optimizing the hang-up deal decision making for the cross-regional tie-line status anomaly according to claim 1, wherein the step S1 comprises:

step S101: receiving end power per second of detected trans-provincial junctor_iThe sum-mean calculator stores the receiving-end power mean value P_aveSubtracting to obtain receiving end power deviation delta P_i(ii) a Calculating Δ P by comparison_iClimbing allowable lower limit value lambda of cross-provincial junctor_dDifference Δ C of_iWherein (i ═ 1, 2.., 60), the counter internal value M is incremented by 1 each time it is calculated; when Δ C_iOutput Δ C less than zero_iStoring the data in a register, and repeating the processes until M is 60; at the moment, the detected M receiving end power data are summed to obtain receiving end electric energy W in one minute, and the register outputs all currently stored difference values delta C_iThe mean value calculator simultaneously calculates and updates M receiving end power data mean values P_ave，P_aveTaking P as initial value₁The average value of the first M receiving ends;

step S102: Δ C to register output_iTaking absolute value and summing to obtain C_mThe comparator compares C_mAnd calculating critical value C of electric quantity of the hang tag_limitComparing; if C_mNot less than C_limitCalculating the electric quantity of the hang tag, and calculating the electric quantity Q of the hang tag_signTransferring to a register for storage; if C_mLess than C_limitQ passed to register_signIs 0;

step S103: the receiving end transaction center presets the reliability of power supply of the cross-provincial junctor, and the original planned electric quantity of the receiving end in every minute is Q_planThen critical value C_limit＝(1-β)Q_planThe calculated electric quantity Q of the hang tag_signIs Q_planDifference value of receiving end electric energy W in one minute;

step S104: summing all the electric quantities of the hang tags stored in the register at intervals to obtain a total electric quantity Q of the hang tags_sign，A。

3. The cross-regional tie-line abnormal-state listing transaction optimization decision method according to claim 1, wherein in step S104, the predetermined planned receiving-end electric quantity is Q within a time period_plan，AIs mixing Q with_sign，AAnd (1-. beta.) Q_plan，AComparing; if Q_sign，AGreater than (1-. beta.) Q_sign，AIf the tie line is abnormal, Q is output_sign，ATo the termination signal controller and transmit the opening and listing transaction signal to the general transaction center when Q is_sign，ANot more than (1-. beta.) Q_sign，AIn time, the junctor is normal.

4. The method for performing hang-up deal optimization decision making on cross-regional tie line status abnormality according to any one of claims 1 to 3, wherein the step S2 includes:

step S201: the electric quantity code converter receives the electric quantity Q reported by each generator participating in the listing transaction in the transmission area of the main transaction center_jAnd the province where the electric quantity is located, and converting the electric quantity into a binary electric quantity code B_jPutting the obtained product into a register for storage;

step S202: the electric quantity code transmitter sequentially acquires electric quantity codes B of all power generators_jTransmitting the region position to the general Kyoto transaction center to call B_jResidual transmission electric quantity Q of power transmission section of area_{rem_j}Critical electric quantity Q for making section in non-out-of-limit state_{cri_j}And average line loss I of corresponding power generation businessman connecting line_j；

Step S203: when declaring the electric quantity Q_jWhen the transmission section is in an out-of-limit state, Q_jAnd Q_{cri_j}Subtracting to obtain Q_jOut of limit value, and Q_{rem_j}、Q_{cri_j}The difference between the two is divided to obtain Q_jIs adjusted to a probability P_{adj_j}The adjusted transmission electric quantity is Q_{cri_j}Separately calculate P_{adj_j}And Q_{cri_j}、1-P_{adj_j}And Q_jThe product of the two is summed to obtain the expected value E (Q) of the receiving end receiving electric quantity_j) It is reacted with I_jMultiplying to obtain Q_jDesired line loss L of_{exp_j}，Q_jAnd E (Q)_j) There is a deviation between, the deviation value is Q_jIs expected to deviate the electric quantity L_{adj_j}，L_{exp_j}And L_{adj_j}The two are summed to obtain Q_jDesired total power loss L_{all_j}。

5. The cross-regional tie-line abnormal-state listing transaction optimization decision method according to claim 4, wherein in the step S201, the B_jComposed of reporting position, total loss position and ground position, which respectively reflect the reported electric quantity Q_jNumerical value, transfer Q_jExpected total amount of power loss L generated_{all_j}And Q_jThe area of the sending end.

6. The method for performing hang-up deal optimization decision making on abnormal cross-regional tie-line status according to any one of claims 1 to 3, wherein in the step S3, the power code sequencer determines the expected total power loss L_{all_j}And correspondingly declares electric quantity Q_jSequencing the electric quantity codes in the sequence from small to large, and outputting electric quantity Q correspondingly declared by the declaration bit of the electric quantity codes in sequence_j，Q_jNamely the pre-picking electric quantity of the generator j corresponding to the electric quantity code, and calculating the sum Q of the output pre-picking electric quantities in real time_sumComparison of Q_sumNot less than Q_sign，AA decision is formed.

7. The cross-regional tie line state anomaly listing transaction optimization decision method of claim 6, wherein when Q is_sumNot less than Q_sign，AWhen the electricity output is stopped, andcalculating Q_sumAnd Q_sign，ADifference Q of_gapCalculating the output Q_jAt Q_sumRatio of (1) to (B)_jIs a reaction of K_jAnd Q_gapMultiplying to obtain Q_jElectric quantity Q to be reduced_j，sub，Q_jAnd Q_j，subObtaining the actual picking electric quantity Q of the generator j by calculating the difference_j，rel。

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