CN112257994A - Cross-provincial electricity quantity base transaction method capable of coordinating multiple time scales - Google Patents
Cross-provincial electricity quantity base transaction method capable of coordinating multiple time scales Download PDFInfo
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Abstract
The invention discloses a trans-provincial electricity quantity base trading method capable of coordinating multiple time scales, and belongs to the field of electric power market trading theory and method research. The invention comprehensively considers the factors of the power supply and demand conditions of a plurality of member provinces in the electric quantity bank transaction, the transportation and supply conditions of power purchase outside the trans-provincial region, peak regulation resources, positive and negative regulation capacity difference and the like, realizes the trans-provincial and trans-regional electric quantity bank transaction decision making method under multiple constraints, can ensure that low-cost power and renewable energy power are efficiently, reasonably and mutually redistributed among the provinces participating in the electric quantity bank transaction, promotes the surplus and shortage complementation of the inter-provincial power, reduces the peak clipping and valley filling cost, and simultaneously improves the utilization level of a trans-provincial power transmission channel; according to the method, monthly electricity quantity bank transactions are taken as a main line and a reference, advance planning and scientific overall planning of the electricity quantity bank transactions are guaranteed, and day-ahead electricity quantity bank transactions are coordinated and flexibly expanded in a month, so that load fluctuation is further stabilized, and electricity surplus and shortage complementation is realized.
Description
Technical Field
The invention belongs to the technical field of electric power market trading theories and methods, and particularly relates to a trans-provincial electric quantity library trading method capable of coordinating multiple time scales.
Background
The method guarantees the energy safety, optimizes the energy structure and vigorously develops clean energy, and is a necessary requirement for realizing the coordinated and sustainable development of economy, society, energy and environment in China. The northwest area of China is an area where new energy power generation is concentrated, but the problems of wind and light abandonment are prominent due to a series of reasons that new energy installation is not matched with load increase, new energy is concentrated on a large scale and is connected to the grid, a grid frame of a power grid has weak links and the like. In order to solve the problems, the existing literature provides a concept of new energy resource electricity quantity library transaction, important transmission channel operation rules are pursued by deeply analyzing the power supply characteristics and the load characteristics of a northwest power grid, and electricity quantity library transaction varieties such as a main control area replacement electricity quantity library, a Shaanqing province peak regulation replacement electricity quantity library and the like are set according to local conditions. The peak shaving resources of the power grid in the northwest region are bundled and collected in the power bank through the power bank, so that the utilization level of a power transmission channel is improved, the random fluctuation of the output of new energy is stabilized, and the new energy consumption space is expanded.
The existing literature designs 'electric quantity library transaction' mainly aiming at a specific new energy power background in northwest China, takes bundling collection and stable output of new energy as main targets, does not consider the wider application of the electric quantity library transaction in the aspects of realizing more power saving, mutual assistance, improving clean energy power consumption space, reducing peak regulation cost and the like, and is particularly combined with the existing trans-provincial electric power transaction to be used for more power types, more abundant transaction varieties, more-range participation in provinces and the like.
Disclosure of Invention
Aiming at the defects or the improvement requirements of the prior art, the invention provides a trans-provincial electricity quantity bank transaction method coordinating multiple time scales, which aims to expand the application scene of electricity quantity bank transaction, the related transaction varieties and the power supply types on the basis of the existing electricity quantity bank transaction concept and simultaneously provide a set of more complete electricity quantity bank transaction organization decision-making scheme coordinated by multiple time scales and capable of being used by more regions and provinces with different power supply and demand environments and resources.
In order to achieve the above object, the present invention provides a cross-provincial electricity quantity base transaction method coordinating multiple time scales, comprising:
s1, calculating the predicted surplus electric quantity and the positive and negative adjustable generated energy of an electric quantity bank which participates in province trading in the current month;
s2, estimating surplus electric quantity and positive and negative adjustable generated energy according to the electric quantity library of each province, and determining stored and drawn provinces and stored and drawn reference electric quantity in monthly electric quantity library transaction;
s3, constructing a decision model of the monthly electricity database transaction varieties and transaction subjects, wherein the decision model is used for establishing corresponding relations between different constraint conditions and transaction decision items, and sequencing the transaction decision items under different constraint conditions according to the corresponding relations and preset priority rules;
s4, selecting one or more transaction schemes in the front of the sequence according to the stored and drawn reference electric quantity obtained in the step S2 to form a monthly electric quantity library transaction plan in the month;
s5, setting various applicable scenes of day-ahead and day-internal electricity quantity bank transactions by taking the monthly electricity quantity bank transaction plan as a reference, and judging whether the day-ahead or day-internal electricity quantity bank transaction currently applied by the user is allowed to be carried out or not according to corresponding information provided by the provinces;
s6, setting daily and intra-day electric quantity bank transactionUnbalanced electric quantity threshold U*Determining a specific execution mode of the transaction according to whether the daily or intra-day electricity quantity bank transaction can enable the unbalanced electricity quantity U' accumulated in the current month to exceed the threshold value:
if | U'. does not<U*If no other condition is limited, the transaction of the electric quantity library before or in the day can be normally carried out; if | U' | is more than or equal to U*Considering adjusting the amount of electricity stored in the transaction to satisfy | U'. count<U*Or cancel the transaction.
Further, in step S1, the expected remaining power calculation formula of the power bank is:
Rt＝Gt+Ot-Dt-Ut-1
wherein R istThe estimated surplus electric quantity of the electric quantity library in the month of the province is represented; rt>0 represents that the predicted electricity amount in this province month has surplus and the electricity amount can be stored in the electricity amount library; rt<0 represents that the province month is predicted to have a consumption space and can draw electric quantity from the electric quantity library; gtThe predicted intra-provincial total power generation amount of the province month is represented; o istRepresenting the total cross-provincial transaction electric quantity expected to be accepted in the province month; dtRepresenting the predicted total required electric quantity in this province; u shapet-1Indicating the unbalanced electric quantity accumulated to the end of the month in the transaction of the electricity-saving bank;
Ut-1the calculation formula of (a) is as follows:
Ut-1＝Mt-1-Wt-1
wherein M ist-1Represents the amount of electricity accumulated by this province to the end of the month, W, stored in the electricity storaget-1The electric quantity which is accumulated in the province and is drawn from the electric quantity library till the end of the month; u shapet-1>0 represents that the electricity is accumulated to the end of the month, the electricity stored in the province is higher than the electricity drawn, namely, if the unbalanced electricity is reduced, a certain amount of electricity needs to be drawn from the electricity quantity library in the month; u shapet-1<And 0 represents that the electricity is accumulated to the end of the month, the electricity consumption of the province is higher than the electricity storage quantity, namely, if the unbalanced electricity quantity is reduced, a certain amount of electricity needs to be stored in the electricity quantity library in the month.
Further, step S2 is specifically:
1) if R isit>0, i belongs to P, then i belongs to Pm；
2) If R isjt<0, j belongs to P, then j belongs to Pw；
PmFor savings, representing savings in which additional power is consumed in monthly vault transactions, PwThe province is taken, which represents the province providing surplus electricity in monthly electricity bank transaction;
3) actively getting province, and expecting that the province can be got from the electric quantity library in this month when the reference value C of the electric quantity is min { | Rit||i∈P}±L；
4) Actively storing provinces, wherein the reference value Q of the electric quantity which can be expected to be stored into the electric quantity library in the month is min { | Rit||i∈P}±L；
L represents the electric quantity up-floating or down-regulating value which is artificially determined according to the positive and negative peak regulation capacities of all the provinces.
Further, the step S3 is to construct a decision model of the monthly electricity database transaction varieties and transaction subjects, which specifically includes:
01. establishing a first mapping relation table among attributes of different item categories under each transaction decision item; the transaction decision item comprises a transaction electric quantity variety and a transaction main body; the attributes of different item categories under the trading electric quantity variety comprise a variety code and a trading variety; the attributes of different item categories under the transaction body comprise a transaction body code and the transaction body;
02. establishing a second mapping relation table among the attributes of different condition types under each constraint condition; the constraint conditions comprise a remaining time value of a current month distance unbalanced electric quantity clearing time node, electric power channel transmission quantity related to electric quantity bank transaction, various electric power supply quantities participating in an electric quantity bank and an unbalanced electric quantity limit value in the current month and the end of the current month of the province; wherein, the attributes of different condition categories under the residual time value comprise condition codes, condition contents and condition meanings; the attributes of different condition types under the power channel transmission capacity, the power supply capacity of each variety and the monthly unbalanced electric quantity limit value all comprise condition codes and condition contents;
03. and establishing the priority order of the item categories corresponding to different condition categories under each constraint condition according to the first mapping relation table, the second mapping relation table and the priority rule to generate a decision model.
Further, the main applicable scenarios for daily and future electric quantity bank transactions include:
1) carrying out forward adjustment on the monthly electricity quantity base transaction plan;
i) the active payment of provinces in the monthly electricity bank transaction plan requires additional payment of electricity in the electricity bank beyond the monthly electricity bank transaction plan in a short time; in the same time period, the surplus electric quantity corresponding to the province is actively stored to meet the requirement;
ii) the active deposit in the monthly electricity bank trading plan has surplus electricity in a short time; in the same time period, the active deduction of province corresponds to the consumption of the part of electric quantity;
2) carrying out reverse strike-off on the monthly electric quantity bank transaction plan:
i) the active payment of provinces in the monthly electricity bank transaction plan has electricity surplus in a short time; in the same time period, the active storage of the province can consume the part of electric quantity through self regulation;
ii) the active deposit in the monthly electricity bank trade plan has an electricity gap in a short time; in the same time period, the active deduction of the province can provide the part of electric quantity through self regulation; wherein, the short time period refers to the period of week, consecutive days or days.
Further, the method further comprises:
s7, counting the actual electric quantity access conditions of all electric quantity library transactions of each province in three time scales of month, day and day, and calculating the unbalanced electric quantity accumulated to the end of month by each province;
s8, correspondingly processing the unbalanced electric quantity according to whether the month is the electric quantity bank clearing month or not;
and S9, the electric quantity in the electric quantity bank transaction is settled.
Further, each province accumulates the unbalanced electric quantity U to the end of the monthtThe calculation formula is as follows:
Ut＝Ut-1+Mdegree of the moon+MDay ahead+MIn the daytime-(WDegree of the moon+WDay ahead+WIn the daytime)
Wherein, UtIndicating the unbalanced electric quantity in the transaction of the electricity-saving quantity bank when the current month is accumulated to the end of the current month; u shapet-1Indicating the unbalanced electric quantity accumulated to the end of the month in the transaction of the electricity-saving quantity bank; mDegree of the moonRepresenting the actual amount of stored electricity generated in monthly electricity bank transactions in the province of the month; mDay aheadRepresenting the actual amount of stored electricity generated in the whole day-ahead electricity quantity base transaction in the current month of the province; mIn the daytimeRepresenting the actual amount of electricity deposited in the electricity quantity base transaction in the whole day in the current month of the province; wDegree of the moonRepresenting the actual electricity drawing amount generated in monthly electricity quantity bank transaction in the province of the user in the month; wDay aheadRepresenting the actual electricity drawing amount generated in the whole day-ahead electricity quantity base transaction in the current month of the province; wIn the daytimeRepresenting the actual amount of power drawn in the battery bank transaction all the day in the month of the province.
Further, in step S8, specifically,
if the month is not the clearing month, the calculated accumulated unbalanced electric quantity U is obtainedtContinuously rolling to the next month for calculating the predicted surplus electric quantity R of the electric quantity library in the next month of the provincet+1(ii) a Or the replacement of the electric quantity is introduced at the end of the month to carry out settlement transaction so as to balance partial electric quantity;
if the month is a clearing month, processing to make U of each provincetWhen the voltage is 0, the power balance is achieved.
In general, the above technical solutions contemplated by the present invention can achieve the following advantageous effects compared to the prior art.
(1) The invention comprehensively considers the factors of the power supply and demand conditions of a plurality of member provinces in the electric quantity bank transaction, the transportation and supply conditions of power purchased outside the trans-provincial district, peak regulation resources, positive and negative regulation capacity difference and the like, realizes the trans-provincial and trans-district electric quantity bank transaction decision making method under multiple constraints, and can ensure that low-cost power and renewable energy power are efficiently, reasonably and mutually redistributed among the provinces participating in the electric quantity bank transaction, thereby promoting the surplus and shortage complementation of the power among the provinces, reducing the peak load cutting cost, simultaneously improving the utilization level of a trans-provincial power transmission channel and being beneficial to forming a long-term development mechanism of mutual economy and mutual profit of multi-region power.
(2) The method comprehensively considers the problems of planning, organization, execution, clearing and settlement and the like of the electric quantity bank transaction on three time scales of month, day ahead and day, ensures the advanced planning and scientific overall planning of the electric quantity bank transaction by taking the monthly electric quantity bank transaction as a main line and a reference, and simultaneously coordinates the day ahead electric quantity bank transaction and the day in electric quantity bank transaction to further stabilize the load fluctuation and realize the complementary surplus and shortage of electric power.
Drawings
Fig. 1 is a flowchart of a cross-provincial electricity quantity base transaction method for coordinating multiple time scales according to the present embodiment;
fig. 2 is a transaction decision flow chart for deciding a transaction decision item I (transaction subject) according to a transaction condition T (a time margin from an unbalanced electric quantity clearing time node) and a transaction condition H (whether there is a balanced electric quantity requirement at the end of a month);
fig. 3 is a transaction decision flow chart for deciding a transaction decision item K (transaction electric quantity variety) according to a transaction condition E (electric transportation channel capacity related to electric quantity library transaction) and a transaction condition S (supply sufficiency degree of electric quantity of each variety participating in the electric quantity library).
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. In addition, the technical features involved in the embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
The trans-provincial and trans-regional electricity quality base is a novel electricity market trading idea which is characterized in that two or more regional electricity network regional peak shaving resources with bidirectional electricity transmission capacity are fully utilized, various electric energy resources of each regional electricity network are bundled and collected in the electricity quality base, resource sharing and mutual complementation of vacancy and vacancy are achieved, flexible access and mutual filling of peak and valley are achieved, time-space difference of loads of each regional electricity network is fully utilized, the utilization level of a transmission channel is improved, and the consumption scale of the electricity quality of the electricity network in the base to the electricity quality outside the base is enlarged.
Referring to fig. 1, the trans-provincial electricity quantity base transaction method for coordinating multiple time scales provided by the invention comprises the following steps:
step S1: constructing a predicted surplus electric quantity calculation model of the electric quantity database in the current month of each province, and obtaining the predicted surplus electric quantity value of the electric quantity database in the current month of each province participating in the electric quantity database transaction according to the predicted electric quantity supply and demand conditions of each province in the current month and the electric quantity database transaction conditions accumulated to the previous month;
at the beginning of each month, each province trading center participating in the trading of the electricity quantity base estimates the estimated surplus condition R of the electricity quantity base in the month according to the estimated electricity quantity supply and demand condition in the month and the expected electricity quantity base trading condition in the earlier period by using the following formulat：
Rt＝Gt+Ot-Dt-Ut-1
Wherein R istAnd the predicted surplus electric quantity of the electric quantity library in the month of the province is represented. Rt>0 represents that the predicted electricity amount in this province month has surplus and the electricity amount can be stored in the electricity amount library; rt<And 0 represents that the province and the month have a consumption space in advance, and the electricity can be drawn from the electricity quantity library. GtThe predicted intra-provincial total power generation amount of the province month is represented; o istRepresenting the total transaction electric quantity across provinces expected to be received in this province according to the signed transaction contract; dtRepresenting the predicted total required electric quantity in this province; u shapet-1Indicating the unbalanced electric quantity accumulated to the end of the month in the transaction of the electricity-saving bank.
Ut-1The calculation formula of (a) is as follows:
Ut-1＝Mt-1-Wt-1
wherein M ist-1Represents the amount of electricity accumulated by this province to the end of the month, W, stored in the electricity storaget-1Means that the province is accumulated to the end of the month and is drawn from the electric quantity libraryThe amount of electricity of; u shapet-1>0 represents that the electricity is accumulated to the end of the month, the electricity stored in the province is higher than the electricity taken out, namely, if the (absolute value of) unbalanced electricity is to be reduced, a certain amount of electricity needs to be taken out from the electricity database in the month; u shapet-1<0 means that the electricity drawn by this province is higher than the electricity stored until the end of the month, i.e. if (the absolute value of) the unbalanced electricity is to be reduced, then a certain amount of electricity needs to be stored in the electricity storage in this month.
The provinces predict the surplus situation R of the electric quantity in the electric quantity library in the monthtForward adjustable power generation B predicted in the same montht(namely the total electric quantity of the electricity increment can be adjusted in this month) and the negative direction can be adjusted to generate the electric energy Nt(i.e., the total power that can be reduced in this month) are reported to the general transaction center. Because the types of the peak shaving resources owned by each province participating in the transaction of the electricity quantity library and the input use degree of the peak shaving resources are different and can change along with the influence of time and other external factors, the part for adjusting the electricity quantity is not directly contained in the RtIn the calculation of (2), the report is made separately.
Step S2: setting a monthly electric quantity database transaction electric quantity decision model based on the predicted surplus electric quantity of the electric quantity database and the positive and negative adjustable generated energy of all the participating provinces, and calculating to obtain a transaction electric quantity reference value and a transaction direction of each participating province in monthly electric quantity database transaction in the current month;
after the general transaction center comprehensively plans the related peak shaving resources, the section transmission capacity and the like, the forecast surplus condition R of monthly electric quantity reported by each province is combinedtAnd adjustable power generation amount BtAnd NtAnd determining active province payment, active province storage, ex-warehouse electric quantity and in-warehouse electric quantity in monthly electric quantity warehouse transaction.
In principle, the amount of electricity which can be taken out of the warehouse for actively drawing the province in the month should be equal to the amount of electricity which can be put in the warehouse for actively drawing the province in the month. In the operation process of the electric quantity library, partial unbalanced electric quantity of each province is allowed to be transferred between months, and the peak regulation resource capacity and the utilization degree of each province are different, so that the ex-warehouse electric quantity and the in-warehouse electric quantity are not directly equal to R reported by each participating provincetBut rather by the general transaction centerAnd making a decision according to the information reported by each province:
1) decision-making active deposit of provinces Pm：
2) Decision-making initiative getting province Pw：
3) And (3) deciding the ex-warehouse electric quantity C and the in-warehouse electric quantity Q: c ═ Q ═ min { | Rit||i∈P}±L；
Wherein, P represents all province sets participating in the electric quantity library; ritThe estimated surplus electric quantity of the electric quantity library in the month of province i is represented; active deposit of provinces PmA province representing the consumption of additional power in a monthly power bank transaction; actively getting province PwThe method comprises the steps that a province of surplus electricity is provided in monthly electricity bank transaction, namely, the province of electricity is actively stored in an electricity bank; the ex-warehouse electric quantity C represents an electric quantity reference value which can be used for actively drawing provinces and can be expected to generate a consumption space (demand gap) in the month, and can be drawn from the electric quantity warehouse; the warehousing available electric quantity Q represents an electric quantity reference value which is used for actively storing provinces and is surplus in predicted electric quantity supply in the current month and can be stored in an electric quantity library; l represents an electric quantity up-regulation value or an electric quantity down-regulation value which is artificially determined according to the positive and negative peak regulation capacities of all the provinces.
Note: if all the ex-warehouse electric quantity participating in the province of the electric quantity warehouse transaction in the month is positive (namely, the surplus electric quantity is generated without surplus electric quantity), or the in-warehouse electric quantity is positive (namely, the surplus electric quantity is generated without surplus electric quantity), the problem of surplus electric quantity is solved without considering the adoption of the electric quantity warehouse transaction.
Step S3: establishing a decision model of monthly electric quantity bank transaction varieties and transaction subjects, wherein the decision model is used for establishing corresponding relations between different constraint conditions and transaction decision items, and sequencing the transaction decision items under different constraint conditions according to the corresponding relations and preset priority rules;
wherein, creating the transaction decision model specifically comprises:
s31: establishing a first mapping relation table among attributes of different item categories under each transaction decision item; the transaction decision item comprises a transaction electric quantity variety and a transaction main body; the attributes of different item categories under the trading electric quantity variety comprise a variety code and a trading variety; the attributes of different item categories under the transaction body comprise a transaction body code and the transaction body;
a. variety of trade electric quantity
The trade electric quantity variety of the electric quantity library comprises:
table 1 first mapping relationship table between item category attributes under trading electric quantity variety
| Variety coding | Trade variety |
| K1 | Three gorges hydroelectric power (national plan electric quantity) |
| K2 | Southwest hydropower (marketized electric quantity) |
| K3 | Peak regulating thermal power (replacement electric quantity) in Chongqing and Hubei areas |
b. Transaction body
The transaction body related to the electricity quantity bank transaction comprises:
TABLE 2 first mapping relationship table between item category attributes under transaction principal
S32: establishing a second mapping relation table among the attributes of different condition types under each constraint condition; the constraint conditions comprise a remaining time value of a current month distance unbalanced electric quantity clearing time node, electric power channel transmission quantity related to electric quantity bank transaction, various electric power supply quantities participating in an electric quantity bank and an unbalanced electric quantity limit value in the current month and the end of the current month of the province; wherein, the attributes of different condition categories under the residual time value comprise condition codes, condition contents and condition meanings; the attributes of different condition types under the power channel transmission capacity, the various kinds of power supply capacity and the monthly unbalanced electric quantity limit value all comprise condition codes and condition contents.
For the decision of monthly electricity quantity bank transaction varieties and transaction subjects, evaluation and judgment are carried out according to the following conditions:
a. a time allowance degree T from the unbalanced electric quantity clearing time node;
the clearing time node of the unbalanced electric quantity means that before the node, each province needs to finish access compensation of the electric quantity library so as to eliminate the unbalanced electric quantity, or introduce peak shaving thermal power (replacement electric quantity) aiming at the unbalanced electric quantity to carry out settlement transaction; this time point may be set to the end of the month or the end of the year when the flood season ends, depending on the actual situation.
TABLE 3 second mapping relationship Table between Condition Category attributes at remaining time values
| Conditional coding | Conditional content | Conditional meanings |
| T1 | The time interval between the current month and the clearing time node is more than 1 month | Sufficient time |
| T2 | The time interval between the current month and the clearing time node is less than or equal to 1 month | Lack of time |
b. Electricity transportation channel capacity E related to electricity pool transactions;
note: the replacement of the electric quantity is realized by the way of trading the power generation right and the like, so that the corresponding channel condition is always sufficient.
Table 4 second mapping relationship table between condition category attributes at power channel transfer capacity
| Conditional coding | Conditional content |
| E1 | All channels are sufficient |
| E2 | The hydropower related channel capacity of the three gorges is sufficient, and the hydropower related channel capacity of the southwest is insufficient |
| E3 | The hydropower related channel capacity of the three gorges is insufficient, and the hydropower related channel capacity of the southwest is sufficient |
| E4 | All channels are not enough |
c. The supply sufficiency degree S of each variety of electric quantity participating in the electric quantity library;
note: the peaker power supply is considered to be always sufficient.
TABLE 5 second mapping relationship table between condition type attributes for each variety of power supply amounts
| Conditional coding | Conditional content |
| S1 | All supplies are sufficient |
| S2 | The water and electricity supply of the three gorges is sufficient, and the water and electricity supply of the southwest is insufficient |
| S3 | The water and electricity supply of the three gorges is insufficient, and the water and electricity supply of the southwest is sufficient |
| S4 | All supplies are insufficient |
d. Whether a requirement H for balancing the electric quantity exists at the end of the month or not is judged according to the operation rule of the electric quantity library or the signed contract;
the requirements for balancing the electric quantity comprise monthly balance, annual (in flood season) balance and the like, and specific balancing modes (complete balance and partial balance) and electric quantity and amount are determined according to rules formulated by a general trading center and contracts signed with thermal power enterprises.
TABLE 6 second mapping Table between Condition Category Attribute at end of month imbalance
| Conditional coding | Conditional content |
| H1 | The end of the month does not require balancing the electricity |
| H2 | The end of the month requires balancing the electricity |
S33: and establishing the priority order of the item categories corresponding to different condition categories under each constraint condition according to the first mapping relation table, the second mapping relation table and the priority rule to generate a transaction model.
According to the above description, the transaction policy considers different transaction conditions, and the transaction model selects and orders for different transaction decision items:
TABLE 7 parameter definitions in transaction model
| Encoding | Means of |
| t | Conditions are as follows: time margin from unbalanced electrical quantity clearing time node |
| e | Conditions are as follows: electric power transportation channel capability related to electric quantity bank transaction |
| s | Conditions are as follows: sufficient degree of supply of various electric quantities participating in electric quantity library |
| h | Conditions are as follows: whether the balance electric quantity is required at the end of the month |
| trade_k | Transaction decision items: trade variety |
| trade_i | Transaction decision items: transaction body |
In the flowchart, ">" indicates the priority order of the decision items. For example, "K1 > K2" indicates that K1 is preferentially selected in the case where the K1 and K2 decision items are simultaneously selectable.
a. Judging whether the replacement electric quantity (peak shaving thermal power) participates;
the conditions T and H mainly determine whether peak shaving power (replacement power) is included in the monthly power bank transaction to achieve the balance of the power banks. The corresponding transaction policy flow is shown in fig. 2:
if the time interval between the month and the unbalanced electric quantity clearing time node is less than 1 month (T is T2), or the rule is equal to or the rule specifies that the electric quantity of the electric quantity bank is to be balanced at the end of the month (H is H2), the electric quantity needs to be replaced to participate in the monthly electric quantity bank transaction. However, in the case where three gorges or southwest hydroelectric power can be used, it is still preferable to balance the access offsets of the two types of electric power. Therefore, the selection sequence of trading varieties is that the three gorges hydroelectric power takes precedence, the southwest hydroelectric power takes precedence, and the replacement electric quantity is the last. The corresponding transaction main body also comprises some thermal power enterprises besides the provincial electric power transaction institutions.
If the time of the month-to-month unbalanced electric quantity clearing time node is sufficient (T is T1) and the electric quantity of the electric quantity bank is not required to be balanced at the end of the month (H is H1), the electric quantity does not need to be replaced to participate in the monthly electric quantity bank transaction, and the warehousing electric quantity transaction varieties in the month are only three gorges hydropower and southwest hydropower. The corresponding transaction main bodies are electric power transaction institutions of various provinces.
b. Under the condition of no peak shaving thermal power participation (namely no electric quantity balance is needed), deciding three gorges hydroelectric power or southwest hydroelectric power as a trade variety;
the conditions E and S mainly reflect the supply and transportation constraints of the three gorges hydropower and southwest hydropower as electric power varieties for trans-provincial transportation, and at the moment, the transaction main body does not consider thermal power enterprises. The corresponding transaction policy flow is shown in fig. 3:
when the channel and the supply are sufficient, the two types of electric quantity can be used as transaction varieties for monthly electric quantity bank transaction, wherein the three gorges hydroelectric power are considered preferentially; when any shortage exists in the channel and the supply, the electric quantity of the corresponding variety cannot be put in storage. If the two types of electric quantity can not be put in storage due to the channel and the supply condition, monthly electric quantity storage transaction is not carried out in the same month. (note that the premise here is that there is no requirement for balancing electric quantity in the month; if electric quantity balancing is required under the condition that neither the three gorges hydropower nor the southwest hydropower can be put in storage, the thermal power part can participate as required, refer to the flow in a).
Step S4: selecting one or more transaction schemes in the top ranking obtained in the step S3 according to the transaction electric quantity reference value in the step S2 to form a monthly electric quantity database transaction plan in the month;
if there are multiple selectable monthly electricity bank transaction schemes after the decision is made according to the flow in S3, sorting is performed according to the transaction decision item priority and the transaction cost, with the lower cost scheme being the first. For a plurality of trading schemes with the electricity purchasing cost gap within an acceptable range, the schemes with high priority levels of the trading decision items are ranked in the top. And finally, selecting one or more transaction schemes in the front of the sequence according to the transaction electric quantity reference limit specified by the ex-warehouse electric quantity (and the in-warehouse electric quantity) to form a monthly electric quantity database transaction plan in the month. And issuing the formulated monthly electric quantity library transaction plan to each province transaction center and scheduling department, and coordinating each party to execute cooperatively.
Step S5: setting applicable scenes of day-ahead electricity quantity base transaction and day-inside electricity quantity base transaction, including internal and external conditions and the like which need to be met when saving and withdrawing provinces, and judging whether the day-ahead or day-inside electricity quantity base transaction currently applied by the user is allowed to be carried out or not according to corresponding information provided by the provinces;
the specific execution of the monthly electricity quantity base trading plan is arranged by the trading center and the dispatching department of each province. In any time period in the process of executing the monthly electricity database trading plan in the month, day-ahead electricity database trading and day-inside electricity database trading can be reasonably alternated. The main applicable scenes of the daily and day-ahead electric quantity bank transaction comprise:
a. and (3) carrying out forward adjustment on the monthly electricity quantity base transaction plan:
i) the situation that sudden electricity utilization peak (rising electricity utilization demand) occurs in active expenditure of provinces in the monthly electricity quantity base transaction plan, the actual electricity consumption of part of trans-provincial region transactions is lower than the electricity quantity specified by a contract, the electricity quantity gap estimation of the electricity quantity base in the monthly electricity quantity base plan is lower, the setting of the electricity quantity capable of being taken out of the base is lower, and the like is caused, so that the electricity quantity of the electricity quantity base outside the monthly electricity quantity base transaction plan needs to be additionally expended in a short time (such as within a week, several consecutive days or within a day); meanwhile, in the same time period, surplus electric quantity corresponding to provinces is actively stored to meet the additional requirement.
ii) the active stored province in the monthly electric quantity bank trading plan has overhigh surplus electric quantity in a short time (such as in a week, continuous days or days) because the actual electricity receiving quantity is higher than the contractual electric quantity in the trans-province trading, the prediction of the whole electricity consumption requirement in the month is higher, and the like, so that the estimation of the surplus electric quantity of the electric quantity bank in the beginning of the month is lower, and the setting of the storable electric quantity is lower; meanwhile, in the same time period, the space can be vacated to absorb the part of electric quantity by actively taking the province correspondence.
In the day-ahead or day-within power bank transaction of the above situation, the active collection of the province still further "collects" the power, and the active storage of the province also further "stores" the power. Therefore, the method can be regarded as playing a positive role in enhancing the monthly power bank plan.
b. Carrying out reverse strike-off on the monthly electric quantity bank transaction plan:
i) active drawing of provinces in the monthly electricity bank trading plan is achieved in a short time due to the fact that the demand is weakened or the external electricity is increased, and therefore the temporary and concentrated electricity surplus occurs; in the same time period, the active storage province can be adjusted by the user to make room for the part of electric quantity in a short time.
ii) active deposit in monthly electrical power bank trading plan saves in short time due to increased demand or reduced external power, thus generating transient power gap; in the same time period, the active collection of the province can provide the part of electric quantity in a short time through self regulation.
In the day-ahead or day-inside trading of the electricity quantity base under the above conditions, the active collection of the province can 'deposit' the electricity quantity into the electricity quantity base, and the active collection of the province can 'collect' the electricity quantity from the electricity quantity base. This operation is opposite to the access direction specified by the monthly electricity bank transaction, so that the reverse access conflict can be realized, and the unbalanced electric quantity generated in the month can be reduced.
Day-ahead and day-in electricity bank transactions require a certain degree of timeliness and flexibility, so the organizational planning process of the transactions needs to be simplified as far as possible compared with monthly electricity bank transactions. When a trading plan is determined, the two-party province meeting the applicable situation of the trading negotiates to determine the stored (and drawn) electric quantity, the power supply curve and the like.
In principle, no replacement charge participation should be included in day-ahead and day-wide electricity bank transactions. The replacement charge participation is only allowed in the following cases: the time point is very close to the clearing time node of the unbalanced electric quantity, the three gorges hydropower station and the southwest hydropower station carry out the conflict to the maximum extent, but the unbalanced electric quantity still exists when the monthly electric quantity trading plan is executed to the end of the month. At this time, the purpose of balancing the electric quantity at the end of the year or the end of the term can be achieved by replacing the day-ahead or day-in-day transaction of the electric quantity.
Step S6: setting an unbalanced electric quantity threshold value of the daily or intra-day electric quantity bank transaction, and judging whether the transaction is allowed to be carried out or not and whether the transaction electric quantity limit needs to be adjusted or not according to whether the daily or intra-day electric quantity bank transaction can enable the unbalanced electric quantity accumulated in the current month to exceed the threshold value or not;
multiple or large number of day-ahead and day-inside electricity bank transactions consistent with the access direction of the monthly electricity bank transactions are likely to cause the unbalanced electricity quantity in the month to be increased remarkably. In order to control the unbalanced electric quantity within a reasonable range, a maximum accumulative unbalanced electric quantity limit U for daily and intraday electricity bank transactions is set*. The mechanism of onset of this limitation is as follows: and calculating the accumulated unbalance electric quantity value U 'from the beginning of the month to the current transaction before the day or before the day-to-day transaction, wherein the accumulated unbalance electric quantity value U' is caused by all the transactions of the day-to-day and day-to-day electric quantity databases which are determined by negotiation. If | U'. does not<U*If no other condition is limited, the transaction of the electric quantity library before or in the day can be normally carried out; if | U' | is more than or equal to U*Considering adjusting the amount of electricity stored in the transaction to satisfy | U'. count<U*Or cancel the transaction.
Step S7: at the end of the month, the actual electricity quantity access conditions of all the provinces in the electricity quantity base transaction under three time scales of the month, the day and the day are counted, and the unbalanced electricity quantity accumulated to the end of the month by each province is calculated;
and at the end of the month, calculating the unbalanced electric quantity accumulated to each province at the end of the month according to the actual electric quantity access condition of the electric quantity database transaction under three time scales of the month, the day and the day by each province. The calculation formula is as follows:
Ut＝Ut-1+Mdegree of the moon+MDay ahead+MIn the daytime-(WDegree of the moon+WDay ahead+WIn the daytime)
Wherein, UtIndicating the unbalanced electric quantity in the transaction of the electricity-saving quantity bank when the current month is accumulated to the end of the current month; u shapet-1Indicating the unbalanced electric quantity accumulated to the end of the month in the transaction of the electricity-saving quantity bank; mDegree of the moonRepresenting the actual amount of stored electricity generated in monthly electricity bank transactions in the province of the month; mDay aheadShows that the province is in the state of electricity in the month before all daysActual amount of electricity deposited in the volume base transaction; mIn the daytimeRepresenting the actual amount of electricity deposited in the electricity quantity base transaction in the whole day in the current month of the province; wDegree of the moonRepresenting the actual electricity drawing amount generated in monthly electricity quantity bank transaction in the province of the user in the month; wDay aheadRepresenting the actual electricity drawing amount generated in the whole day-ahead electricity quantity base transaction in the current month of the province; wIn the daytimeRepresenting the actual amount of power drawn in the battery bank transaction all the day in the month of the province.
Step S8: performing corresponding processing on the unbalanced electric quantity according to whether the month is an electric quantity bank clearing month or not;
if the month is not a clearing month (the electric quantity in the electric quantity library is not required to be completely balanced at the end of the month), the calculated accumulated unbalanced electric quantity U is obtainedtCan continue to roll downwards the month for calculating the predicted surplus electric quantity R of the electric quantity library in the province and the next montht+1(ii) a Or the replacement electric quantity (peak regulating thermal power) can be introduced at the end of a month to carry out settlement transaction so as to balance partial electric quantity;
if the month is a clearing month (the balance of electric quantity is to be achieved at the end of the month, for example, at the end of the year or at the end of the flood season), U needs to be processed by contract replacement, power generation right trading, and the liketFinally make U of each provincetWhen the voltage is 0, the power balance is achieved.
Step S9: settling the electric quantity in the electric quantity bank transaction;
the settlement related to the electricity bank transaction is mainly as follows:
a. the warehousing electric quantity of the three gorges hydroelectric power, the southwest hydroelectric power and the like is offset in a certain transaction period (in a month unit), only statistics is carried out, settlement is not carried out, and annual balance is strived to be achieved;
b. the replacement electric quantity (peak shaving thermal power) participating in the electric quantity balance of the electric quantity library in the month, if the replacement electric quantity is used for monthly electric quantity balance in the month, settlement is carried out at the end of the month according to the price agreed in advance in the contract; if the method is used for annual (or flood season) electricity balance, settlement can be performed at the end of each month or unified settlement can be performed at the end of the year (or flood season) according to the contract rules.
The following embodiment is based on the transaction method, and takes the transaction of the electric network and the Chongqing electric network electric quantity base in 5 months in 2019 as an example, and the transaction method of the trans-provincial electric quantity base with multiple coordinated time scales is exemplified and verified.
S201, constructing a calculation model of the surplus and shortage electric quantity of the electric quantity base predicted in the current month of the Huazhong power grid and the Chongqing power grid, and obtaining the surplus and shortage electric quantity value of the electric quantity base predicted in the current month of each province participating in the electric quantity base transaction according to the predicted electric quantity supply and demand condition of each power grid in the current month and the electric quantity base transaction condition accumulated in the previous month;
in the electric quantity bank transaction, hydropower is a main transaction variety, 5 months (t is 5) is a flood season early stage, the electric quantity bank transaction is just started, and therefore, when the electric quantity bank transaction is accumulated to the end of 4 months, the unbalanced electric quantity of the Huazhong power grid and the Chongqing power grid in the electric quantity bank transaction is 0(U is equal to zero)4＝0)。
According to the prediction, the Chongqing area in the month has total surplus of electric power and supplies more than demand, while the Chinese area is influenced by large-scale high-temperature weather, the demand rises and the supply is insufficient. When the predicted total required electric quantity of the power grid in China is 682.6 hundred million kilowatt-hours (D)5682.6), a total power generation yield of 537 billion kilowatt-hours (G) is predicted5537), in which hair growth is regulated by 42.9 hundred million kilowatt-hours (B)542.9), the hair growth can be adjusted to 30 hundred million kilowatt-hours (N)530), the signed transaction contract is expected to receive a total transaction charge of 141.6 hundred million kilowatt-hours (O) across provinces5141.6); the predicted total required electric quantity of the power grid at Chongqing in the month is 85.2 kilowatt hours (D)585.2), the total power generation amount is predicted to be 59.5 (G)559.5 hundred million kilowatt hours, wherein the increased electric quantity can be adjusted to 3.6 million kilowatt hours (B)53.6), the electricity produced can be adjusted to 2.5 hundred million kilowatt-hours (N)52.5), the signed transaction contract is expected to receive a total transaction charge of 27.7 hundred million kilowatt-hours (O) across provinces5＝27.7)。
According to the expected surplus electric quantity calculation model of the electric quantity library, the expected surplus electric quantity value of the electric quantity library in the month of the China power grid and the Chongqing power grid is-4 hundred million kilowatt hours (R)5= 4) and 2 hundred million kilowatt-hours (R)5＝2)。
S202, establishing a monthly electric quantity database transaction electric quantity decision model based on the predicted surplus electric quantity of the electric quantity database and the positive and negative adjustable generated energy of all the participating provinces, and calculating to obtain a transaction electric quantity reference value and a transaction direction of each participating province in monthly electric quantity database transaction in the current month;
after the four Jingzhu parties and the Huazhong regulation and control branch center comprehensively project related peak regulation resources, section transmission capacity and the like, according to the predicted residual shortage values of the monthly electric quantity library of the Huazhong electric network and the Chongqing electric network, namely-4 hundred million kilowatt hours and 2 hundred million kilowatt hours, the initiative province of the monthly electric quantity library transaction is determined to be the Huazhong electric network (P)m: china power grid), active deposit provincial Chongqing power grid (P)w: chongqing power grid), the electricity quantity capable of being delivered out of the warehouse and the electricity quantity capable of being stored in the warehouse are 2 hundred million kilowatt hours.
Step S203, judging and selecting proper transaction decision items according to decision conditions such as the time abundance degree of the unbalanced electric quantity clearing time node in the current month, the electric power transportation channel capacity related to the electric quantity bank transaction, the supply abundance degree of various electric quantities participating in the electric quantity bank, whether the requirement of balanced electric quantity exists at the end of the current month and the like, determining all selectable transaction schemes, and selecting and executing a plurality of transaction schemes with higher priority and lower cost according to the total demand.
(1) Ordering the transaction decision items under different constraint conditions to obtain a transaction strategy;
a. judging whether the replacement electric quantity (peak regulating thermal power) participates:
the current month is 5 months (T is T1), the time from the clearing time node is sufficient, and the balance electric quantity is not required at the end of the month (H is H1), so that the electric quantity does not need to be replaced to participate in monthly electric quantity bank transaction, and the warehousing electric quantity transaction varieties in the month are only three gorges hydropower and southwest hydropower.
b. Under the condition of no peak shaving thermal power participation (namely no electric quantity balance is needed), deciding three gorges hydropower station or southwest hydropower station as a trade variety:
according to the assessment, when the three gorges hydropower station has sufficient capacity of the related passage, the southwest hydropower station has sufficient capacity of the related passage (E is E1), all the supplies are sufficient (S is S1), and the passage and the supplies are both sufficient, the two types of electric quantity can be used as transaction varieties for monthly electric quantity bank transaction, wherein the three gorges hydropower station is considered in priority.
(2) Optional trade scheme selection:
in summary, for four transaction conditions, there are the following transaction strategies:
a. judging whether the replacement electric quantity (peak regulating thermal power) participates:
the replacement power (peaked fire power) cannot participate in the power bank transaction.
b. Under the condition of no peak shaving thermal power participation (namely no electric quantity balance is needed), the three gorges hydroelectric power or southwest hydroelectric power is decided as a trade variety.
For the trade variety, the three gorges hydroelectric power is adopted preferentially, and the southwest hydroelectric power is adopted secondly.
Combining the three cases, the transaction policy priority is ordered as:
trade variety: three gorges hydroelectric power (national planned electric quantity) > southwest hydroelectric power (marketized electric quantity);
the transaction main body: china electric power trading institutions and Chongqing electric power trading institutions;
and (4) combining the transaction strategies according to the transaction electric quantity reference value (2 hundred million kilowatt hours) in the S202, calculating the transaction cost of each strategy, and sequencing the schemes according to the electricity purchasing cost, wherein the scheme with lower cost is in the front. For a plurality of trading schemes with the electricity purchasing cost gap within an acceptable range, the schemes with high priority levels of the trading decision items are ranked in the top. And finally, selecting one or more transaction schemes in the front of the sequence according to the transaction electric quantity reference limit specified by the ex-warehouse electric quantity (and the in-warehouse electric quantity) to form a monthly electric quantity database transaction plan in the month. And the Kyoto transaction four parts issue the formulated monthly electricity quantity base transaction plan to the transaction centers and the dispatching departments of various provinces, and coordinate the execution of all the parties.
It will be understood by those skilled in the art that the foregoing is only a preferred embodiment of the present invention, and is not intended to limit the invention, and that any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (8)
1. A trans-provincial electricity quantity base transaction method for coordinating multiple time scales is characterized by comprising the following steps:
s1, calculating the predicted surplus electric quantity and the positive and negative adjustable generated energy of an electric quantity bank which participates in province trading in the current month;
s2, estimating surplus electric quantity and positive and negative adjustable generated energy according to the electric quantity library of each province, and determining stored and drawn provinces and stored and drawn reference electric quantity in monthly electric quantity library transaction;
s3, constructing a decision model of the monthly electricity database transaction varieties and transaction subjects, wherein the decision model is used for establishing corresponding relations between different constraint conditions and transaction decision items, and sequencing the transaction decision items under different constraint conditions according to the corresponding relations and preset priority rules;
s4, selecting one or more transaction schemes in the front of the sequence according to the stored and drawn reference electric quantity obtained in the step S2 to form a monthly electric quantity library transaction plan in the month;
s5, setting various applicable scenes of day-ahead and day-internal electricity quantity bank transactions by taking the monthly electricity quantity bank transaction plan as a reference, and judging whether the day-ahead or day-internal electricity quantity bank transaction currently applied by the user is allowed to be carried out or not according to corresponding information provided by the provinces;
s6, setting unbalanced electric quantity threshold value U of electric quantity bank transaction before and in day*Determining a specific execution mode of the transaction according to whether the daily or intra-day electricity quantity bank transaction can enable the unbalanced electricity quantity U' accumulated in the current month to exceed the threshold value:
if | U'. does not<U*If no other condition is limited, the transaction of the electric quantity library before or in the day can be normally carried out; if | U' | is more than or equal to U*Considering adjusting the amount of electricity stored in the transaction to satisfy | U'. count<U*Or cancel the transaction.
2. The method of claim 1, wherein in step S1, the expected remaining power of the power bank is calculated by the following formula:
Rt＝Gt+Ot-Dt-Ut-1
wherein R istExpress this bookThe predicted surplus electricity of the electricity base of the month; rt>0 represents that the predicted electricity amount in this province month has surplus and the electricity amount can be stored in the electricity amount library; rt<0 represents that the province month is predicted to have a consumption space and can draw electric quantity from the electric quantity library; gtThe predicted intra-provincial total power generation amount of the province month is represented; o istRepresenting the total cross-provincial transaction electric quantity expected to be accepted in the province month; dtRepresenting the predicted total required electric quantity in this province; u shapet-1Indicating the unbalanced electric quantity accumulated to the end of the month in the transaction of the electricity-saving bank;
Ut-1the calculation formula of (a) is as follows:
Ut-1＝Mt-1-Wt-1
wherein M ist-1Represents the amount of electricity accumulated by this province to the end of the month, W, stored in the electricity storaget-1The electric quantity which is accumulated in the province and is drawn from the electric quantity library till the end of the month; u shapet-1>0 represents that the electricity is accumulated to the end of the month, the electricity stored in the province is higher than the electricity drawn, namely, if the unbalanced electricity is reduced, a certain amount of electricity needs to be drawn from the electricity quantity library in the month; u shapet-1<And 0 represents that the electricity is accumulated to the end of the month, the electricity consumption of the province is higher than the electricity storage quantity, namely, if the unbalanced electricity quantity is reduced, a certain amount of electricity needs to be stored in the electricity quantity library in the month.
3. The method as claimed in claim 1, wherein the step S2 is specifically as follows:
1) if R isit>0, i belongs to P, then i belongs to Pm；
2) If R isjt<0, j belongs to P, then j belongs to Pw；
PmFor savings, representing savings in which additional power is consumed in monthly vault transactions, PwThe province is taken, which represents the province providing surplus electricity in monthly electricity bank transaction;
3) actively getting province, and expecting that the province can be got from the electric quantity library in this month when the reference value C of the electric quantity is min { | Rit||i∈P}±L；
4) Active deposit province predicted possible charge in this monthThe reference value Q of the electric quantity stored in the quantity library is min { | Rit||i∈P}±L；
L represents the electric quantity up-floating or down-regulating value which is artificially determined according to the positive and negative peak regulation capacities of all the provinces.
4. The trans-provincial electricity quantity base transaction method coordinating multiple time scales according to claim 1, wherein the step S3 of constructing a decision model of monthly electricity quantity base transaction varieties and transaction subjects specifically comprises:
01. establishing a first mapping relation table among attributes of different item categories under each transaction decision item; the transaction decision item comprises a transaction electric quantity variety and a transaction main body; the attributes of different item categories under the trading electric quantity variety comprise a variety code and a trading variety; the attributes of different item categories under the transaction body comprise a transaction body code and the transaction body;
02. establishing a second mapping relation table among the attributes of different condition types under each constraint condition; the constraint conditions comprise a remaining time value of a current month distance unbalanced electric quantity clearing time node, electric power channel transmission quantity related to electric quantity bank transaction, various electric power supply quantities participating in an electric quantity bank and an unbalanced electric quantity limit value in the current month and the end of the current month of the province; wherein, the attributes of different condition categories under the residual time value comprise condition codes, condition contents and condition meanings; the attributes of different condition types under the power channel transmission capacity, the power supply capacity of each variety and the monthly unbalanced electric quantity limit value all comprise condition codes and condition contents;
03. and establishing the priority order of the item categories corresponding to different condition categories under each constraint condition according to the first mapping relation table, the second mapping relation table and the priority rule to generate a decision model.
5. The method of claim 1, wherein the main application scenarios for intra-day and pre-day electricity bank transactions include:
1) carrying out forward adjustment on the monthly electricity quantity base transaction plan;
i) the active payment of provinces in the monthly electricity bank transaction plan requires additional payment of electricity in the electricity bank beyond the monthly electricity bank transaction plan in a short time; in the same time period, the surplus electric quantity corresponding to the province is actively stored to meet the requirement;
ii) the active deposit in the monthly electricity bank trading plan has surplus electricity in a short time; in the same time period, the active deduction of province corresponds to the consumption of the part of electric quantity;
2) carrying out reverse strike-off on the monthly electric quantity bank transaction plan:
i) the active payment of provinces in the monthly electricity bank transaction plan has electricity surplus in a short time; in the same time period, the active storage of the province can consume the part of electric quantity through self regulation;
ii) the active deposit in the monthly electricity bank trade plan has an electricity gap in a short time; in the same time period, the active deduction of the province can provide the part of electric quantity through self regulation; wherein, the short time period refers to the period of week, consecutive days or days.
6. The method for coordinating transactions across provincial power banks according to any one of claims 1 to 5, wherein the method further comprises:
s7, counting the actual electric quantity access conditions of all electric quantity library transactions of each province in three time scales of month, day and day, and calculating the unbalanced electric quantity accumulated to the end of month by each province;
s8, correspondingly processing the unbalanced electric quantity according to whether the month is the electric quantity bank clearing month or not;
and S9, the electric quantity in the electric quantity bank transaction is settled.
7. The method of claim 6, wherein the unbalanced electric quantity U accumulated to the end of the month of each province is the unbalanced electric quantity UtThe calculation formula is as follows:
Ut＝Ut-1+Mdegree of the moon+MDay ahead+MIn the daytime-(WDegree of the moon+WDay ahead+WIn the daytime)
Wherein, UtIndicating the unbalanced electric quantity in the transaction of the electricity-saving quantity bank when the current month is accumulated to the end of the current month; u shapet-1Indicating the unbalanced electric quantity accumulated to the end of the month in the transaction of the electricity-saving quantity bank; mDegree of the moonRepresenting the actual amount of stored electricity generated in monthly electricity bank transactions in the province of the month; mDay aheadRepresenting the actual amount of stored electricity generated in the whole day-ahead electricity quantity base transaction in the current month of the province; mIn the daytimeRepresenting the actual amount of electricity deposited in the electricity quantity base transaction in the whole day in the current month of the province; wDegree of the moonRepresenting the actual electricity drawing amount generated in monthly electricity quantity bank transaction in the province of the user in the month; wDay aheadRepresenting the actual electricity drawing amount generated in the whole day-ahead electricity quantity base transaction in the current month of the province; wIn the daytimeRepresenting the actual amount of power drawn in the battery bank transaction all the day in the month of the province.
8. The method as claimed in claim 6, wherein the step S8 is specifically,
if the month is not the clearing month, the calculated accumulated unbalanced electric quantity U is obtainedtContinuously rolling to the next month for calculating the predicted surplus electric quantity R of the electric quantity library in the next month of the provincet+1(ii) a Or the replacement of the electric quantity is introduced at the end of the month to carry out settlement transaction so as to balance partial electric quantity;
if the month is a clearing month, processing to make U of each provincetWhen the voltage is 0, the power balance is achieved.
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