CN111446740A - New energy power generation active control method and system considering nested section constraints - Google Patents

New energy power generation active control method and system considering nested section constraints Download PDF

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CN111446740A
CN111446740A CN202010165236.6A CN202010165236A CN111446740A CN 111446740 A CN111446740 A CN 111446740A CN 202010165236 A CN202010165236 A CN 202010165236A CN 111446740 A CN111446740 A CN 111446740A
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station
section
new energy
limit value
stations
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CN111446740B (en
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万玉良
李原
易善军
项颂
赵雪楠
尹洪全
陈颖
石永富
尚国政
贺旭伟
马育飞
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BEIJING ZHONGKE FURUI ELECTRIC TECHNOLOGY CO LTD
East Inner Mongolia Electric Power Co Ltd
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BEIJING ZHONGKE FURUI ELECTRIC TECHNOLOGY CO LTD
East Inner Mongolia Electric Power Co Ltd
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
    • H02J3/48—Controlling the sharing of the in-phase component
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/04—Circuit arrangements for ac mains or ac distribution networks for connecting networks of the same frequency but supplied from different sources
    • H02J3/06—Controlling transfer of power between connected networks; Controlling sharing of load between connected networks

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Abstract

The invention relates to a new energy power generation active control method and system considering nested section constraints, which comprises the following steps: acquiring active control system parameters, new energy section constraint real-time data, new energy station constraint real-time data and station configuration under a section; judging whether the actual output of the station and the section tidal current are available or not, and calculating the actual output of the new energy of the section according to the actual output of the station and the configuration of the station under the section; when the actual output and the section tide of the station are available, carrying out locking detection; determining station constraint conditions according to the locking states of all stations, and removing uncontrollable stations; determining a section constraint condition according to the section structure, the section limit value, the actual output of the section new energy and the upper and lower limits of the station; and determining active target values of all stations according to station constraint conditions and section constraint conditions. The method can calculate the active target value meeting the constraint of the nested sections, and guarantees the fairness of active control of the new energy station under the condition that all sections are not out of limit.

Description

New energy power generation active control method and system considering nested section constraints
Technical Field
The invention relates to the technical field of new energy, in particular to a new energy power generation active control method and system considering nested section constraints.
Background
Due to the intermittent and uncontrollable properties of the new energy and the characteristic that the large-scale new energy station is connected into different sections of the power grid, the section structure has a complex nesting condition, the real-time scheduling of the power system is difficult, and the conditions of new energy electricity abandonment and unfair distribution are easy to occur.
Disclosure of Invention
The invention aims to solve the technical problem of the prior art and provides a new energy power generation active control method considering nested section constraints.
The technical scheme for solving the technical problems is as follows: a new energy power generation active control method considering nested section constraints comprises the following steps:
s1, obtaining active control system parameters, new energy section constraint real-time data, new energy station constraint real-time data and station configuration under the section, wherein the new energy station constraint real-time data comprises: actual output and last control target value of station, the active control system parameter includes: adjusting dead zone and station data abnormity to cause system automatic control exit percentage, wherein the new energy section constraint real-time data comprises: current value of section tidal current and section limit value;
s2, judging whether the actual output of the station is available or not according to the automatic control exit percentage of the system caused by the actual output and station data abnormality, judging whether the section flow is available or not according to the current value of the section flow, and meanwhile, calculating the actual output of the new energy of the section according to the actual output of the station and the station configuration under the section;
s3, when the actual output and the section tide of the station are available, judging the locking state of the current station according to the last control target value, the actual output and the adjustment dead zone of the current station until traversing all stations under the section determined according to the station configuration under the section;
s4, determining station constraint conditions according to the locking states of all the stations and eliminating uncontrollable stations, wherein the station constraint conditions comprise: re-determining the up-regulation step length, the down-regulation step length, the up-regulation limit value and the down-regulation limit value of all the stations;
s5, determining section constraint conditions according to the section structure, the section limit value, the section new energy actual output and the upper limit and the lower limit of all the stations, wherein the section constraint conditions comprise: a section upper regulation limit value and a section lower regulation limit value;
and S6, determining the active target values of all the stations according to the station constraint conditions and the section constraint conditions.
The invention has the beneficial effects that: the active power distribution target value of the station is determined through station constraint conditions and section constraint conditions obtained based on real-time operation data of the system, the sections and the station, and the new energy output maximization is realized on the basis of ensuring that the active power distribution fairness and the section trend are not out of limit.
On the basis of the technical scheme, the invention can be further improved as follows.
Further, the new energy station constraint real-time data comprises: the station automatic control flag, then S1 further includes:
s11, dividing the new energy station into a controllable station queue and an uncontrollable station queue according to the station automatic control sign;
then S2 specifically includes: and judging whether the actual output of the station in the controllable station queue is available or not according to the automatic control exit percentage of the system caused by the actual output and station data abnormity, and meanwhile, calculating the actual output of the new energy of the section according to the actual output of the station in the controllable station queue and the station configuration under the section.
The beneficial effect of adopting the further scheme is that: the new energy station is divided into controllable and uncontrollable station queues according to the station automatic control marks, and the controllable stations are subjected to active control, so that the calculation cost can be effectively reduced.
Further, the new energy section constraint real-time data comprises: the section adjustment mark and the section upper section number further include in S1:
s12, loading all stations contained under the section from the controllable station queue according to station configuration under the section;
s13, traversing the section after loading, judging whether a controllable station is under the section, and marking the current section as a non-automatic adjustment state if the controllable station is not under the section;
and S14, removing the section in the non-automatic adjustment state according to the section adjustment mark, and reorganizing the upper section.
The beneficial effect of adopting the further scheme is that: all stations contained under the section are loaded from the controllable station queue, the section with the judgment result that no controllable station exists under the section is marked as a non-automatic adjustment state, and the section in the non-automatic adjustment state is removed and then the upper section is reorganized, so that the section structure can be simplified, an effective section nesting structure is obtained, and convenience is brought to subsequent calculation.
Further, S14 specifically includes:
s141, loading the section to form a nested section structure;
s142, traversing the section in the automatic adjustment state, and when the upper section is in the non-automatic adjustment state, continuously searching the upper section of the upper section upwards until the upper section in the automatic state is searched;
s143, setting the upper section of the current section as a searched section, and if the upper section in an automatic adjustment state is not searched, determining that the current section is a top section;
and S144, forming a tree-shaped cross section structure based on each top layer cross section and each lower level cross section.
Further, because the section structures are nested and complicated, each section may have sub-sections and stations not included in the sub-sections, so that when the upper and lower limit values of a section are obtained, a recursive call is used, the upper and lower limit values of all sections are finally obtained by starting from the top section and returning from the bottom section, and the process of obtaining the upper and lower limit values of a certain section is as follows, S5 specifically includes:
s51, initializing an upper limit value and a lower limit value of the obtained section to be 0, wherein the obtained section is any section in the tree structure;
s52, traversing all sub-sections under the obtained section, and obtaining an upper limit value and a lower limit value of the sub-sections according to recursive calling;
s53, adding the upper limit value of the obtained sub-section to the upper limit of the obtained section, and adding the lower limit value of the sub-section to the lower limit of the obtained section;
s54, after traversing all the sub-sections, solving the sum of the upper limit and the sum of the lower limit of all the stations which do not belong to the sub-sections;
s55, adding the sum of the upper limits of all stations which do not belong to the sub-section to the upper limit of the section to be obtained, adding the sum of the lower limits to the lower limit of the section to be obtained, and respectively obtaining an upper limit value and a lower limit value of the section to be obtained;
s56, calculating the output limit value of the new energy station of the section according to the actual output of the new energy of the section, the limit value of the section and the flow of the section;
s57, when the new energy output limit value is smaller than the section lower limit value, correcting the section upper limit value to be equal to the section lower limit value; when the output limit value of the new energy field station is smaller than the section upper adjusting limit value and larger than the section lower adjusting limit value, correcting the section upper adjusting limit value to be equal to the output limit value of the new energy field station;
s58, repeating S51-S57, and recursively calculating all the sections and sub-sections included in the tree structure.
Further, the S6 is: according to the station constraint conditions and the section constraint conditions, solving the optimal solution by using a quadratic programming active set method to obtain the active target values of all stations, wherein the method specifically comprises the following steps:
s61, determining the target power allocated to the ith station at time t according to any one of the following objective functions, where i is 1, … n, and the objective function includes:
station equivalent installed capacity average allocation objective function:
Figure BDA0002407203200000041
wherein, Pi，tTarget power, P, allocated for the ith station at time ti，NIs the equivalent installed capacity of the ith station, CiThe station allocation method comprises the following steps of (1) determining a penalty coefficient, wherein the penalty coefficient is normal allocation when the penalty coefficient is equal to 1, is penalty allocation when the penalty coefficient is greater than 1, is reward allocation when the penalty coefficient is less than 1, and n is the number of stations participating in control;
the station power generation progress balance gives consideration to the installed capacity average distribution objective function:
Figure BDA0002407203200000051
wherein, Pi，tTarget power, P, allocated to the ith station at time ti，NInstalled capacity, UH, for the ith stationiFor power generation at the ith station, UHmaxThe maximum value of the power generation time of all stations participating in the control is cpe, the balanced power exponent of the power generation progress is cpe, n is the number of the stations participating in the control,
cpe is calculated as follows:
Figure BDA0002407203200000052
wherein E isminFor equalizing the minimum value allowed by the power exponent term, UH, of the power generation progress of the station with the minimum value for power generationminFor the minimum value of the generation time of all stations participating in the control, RtargetA limit value of a ratio of power generation progress balance power exponent terms of a station with the minimum power generation time and a station with the maximum power generation time, RminThe ratio of the minimum value of the generating time to the maximum value of the generating time of all the stations participating in the control;
allocating target functions according to the comprehensive sequencing sequence of the stations:
Figure BDA0002407203200000053
wherein, Pi，tTarget power, P, allocated for the ith station at time tmax，NSeq being the maximum value of installed capacity of all stations participating in the controliFor the integrated sequence number, seq, of the ith stationmaxMaximum value of the composite sequence number for all stations participating in the control, ciThe scaling factor is n, and the number of stations participating in control is n;
s62, when the target power distributed by the ith station at the time t meets the following constraint conditions, determining the target power distributed by the ith station at the time t as an active target value of the ith station, wherein the constraint conditions include:
top layer section equation constraint condition:
Figure BDA0002407203200000061
the above formula is the constraint condition of the jth section, wherein, αijWhether the ith station belongs to the jth section or not is judged, and when the ith station is 0, the ith station does not belong to the jth section, and when the ith station is 1, the ith station belongs to the jth section, Pi，tTarget power, P, allocated for the ith station at time tj，limitThe new energy station output limit value of the jth top layer section is obtained, and m is the number of sections;
non-top section inequality constraint conditions:
Figure BDA0002407203200000062
the above formula is the constraint condition of the jth section, wherein, αijWhether the ith station belongs to the jth section or not is judged, and when the ith station is 0, the ith station does not belong to the jth section, and when the ith station is 1, the ith station belongs to the jth section, Pi，tTarget power, P, allocated for the ith station at time tj，limitThe output limit value of the new energy field station of the jth lower section is shown, and m is the number of sections;
station constraint conditions:
MAX(0，Pi-ΔPi，dec)≤Pi，t≤MIN(Pi，N，Pi+ΔPi，inc)，
the above formula is the constraint condition of the ith station, wherein PiIs the current active power, Δ P, of the ith stationi，decDown step size, delta P, of current active allocation for ith stationi，incUp-regulation step length, P, allocated for current active power of ith stationi，tTarget power, P, allocated for the ith station at time ti，NIs the installed capacity of the ith station.
The beneficial effect of adopting the further scheme is that: the active power distribution target value of the new energy station is solved by taking account of the installation and power generation capacity of the new energy station and the adjustment margin of each new energy section in combination with one of balanced power generation progress of the new energy station, average distribution of equivalent installed capacity of the station and comprehensive sequencing sequence distribution of the station as a target function in combination with real-time operation data of the section and station and considering the active power control algorithm of the new energy station under the constraint of the nested section, so that the fairness of active power distribution and the section trend are not out of limit, the maximization of the output of new energy is realized on the basis, and the active power fine control method has strong practical value in the aspect of active power fine control of large-scale new energy complex nested sections.
Further, S2 specifically includes:
s21, the process of determining whether the actual output of the station is available includes: judging whether jumping and dead numbers exist according to the actual output of the stations, marking the corresponding stations in a non-automatic control state when the judgment result is yes, and setting the system in the non-automatic control state and forming alarm data to be inserted into a real-time alarm queue after the number of the stations marked in the non-automatic control state reaches the automatic control exit percentage of the system caused by abnormal station data;
s22, the process of judging whether the section tide is available comprises the following steps: judging whether jumping and dead counts exist according to the current value of the section tide, if so, setting the system to be in a non-automatic control state and forming alarm data to be inserted into a real-time alarm queue;
and S23, calculating the total sum of the actual output of all stations under the section determined based on the station configuration under the section to obtain the new energy actual output of the section.
The beneficial effect of adopting the further scheme is that: and when the number of the uncontrollable stations reaches the automatic control exit percentage caused by the abnormal station data, the system is in the uncontrollable state, thereby generating alarm data. In other words, if no jumps and no dead counts occur, the actual contribution of the station is available.
And when the jump and the dead number are judged according to the current value of the section flow, the system is in an uncontrollable state, so that alarm data is generated. In other words, if no jump or dead number occurs, the cross-sectional power flow is available.
That is, it is only meaningful to make subsequent determinations of constraints when both the site-specific actual output and the cross-sectional power flow are available.
Further, the S3 specifically includes:
s31, judging whether the current station is in an upper locking state, if so, executing S32, otherwise, executing S33;
s32, judging whether the actual output of the current station is larger than the difference value between the last control target value and the adjustment dead zone, if so, releasing the upper lock and executing S34;
s33, judging whether the actual output of the current station is smaller than the difference value between the last control target value and the adjustment dead zone, and if so, locking up;
s34, judging whether the current station is in a down locking state, if so, executing S35, otherwise, executing S36;
s35, judging whether the actual output of the current station is smaller than the sum of the last control target value and the adjustment dead zone, if so, releasing the lower lock, and executing S31 until stations in the controllable station queue are traversed;
and S36, judging whether the actual output of the current station is greater than the sum of the last control target value and the adjustment dead zone, if so, performing down locking, and performing S31 until stations in the controllable station queue are traversed.
The beneficial effect of adopting the further scheme is that: and by determining the locking state of the stations in the controllable station queue, preparing for removing the uncontrollable stations in the next step.
Further, the S4 specifically includes:
s41, traversing the stations in the station controllable queue, recalculating the up-regulation step length of the station according to the up-locking state, and recalculating the down-regulation step length of the station according to the down-locking state;
s42, determining an upper adjustment limit value of the station according to the upper locking state, the actual output and the adjusted upper adjustment step length of the station;
s43, determining a down regulation limit value of the station according to the down locking state, the actual output and the adjusted down regulation step length of the station;
and S44, if the readjusted up-regulation step length and down-regulation step length of the current station are zero at the same time, rejecting the current station.
The beneficial effect of adopting the further scheme is that: based on the readjusted up-regulation step length and down-regulation step length, uncontrollable stations are further removed from the controllable station queue, active control is guaranteed to be performed on effective controllable stations, and effectiveness of active distribution is guaranteed.
Further, S43 specifically includes: when the upper locking state is locking, the upper adjusting limit value of the station is equal to the actual output, otherwise, the upper adjusting limit value is equal to the sum of the actual output of the station and the readjusted upper adjusting step length;
s44 specifically includes: when the current locking state is locking, the down-regulation limit value of the station is equal to the actual output, otherwise, the down-regulation limit value is equal to the difference between the actual output of the station and the readjusted down-regulation step length, and the down-regulation limit value is zero when being less than zero.
Another technical solution of the present invention for solving the above technical problems is as follows: a new energy power generation active control system considering nested section constraints comprises: EMS energy management system, a plurality of new energy station AGC systems, a server and a client, wherein,
the EMS energy management system and the AGC systems of the new energy stations are respectively connected with a server through a switch, and the server is connected with a client;
the EMS energy management system is used for acquiring real-time data of section tide and actual output of a station and uploading the data to a server;
the new energy station AGC system is used for acquiring real-time operation data of the station and uploading the real-time operation data to the server, and performing active control on the station based on the data sent by the server;
the server is used for loading parameters of the system, the section and the station according to the acquired real-time data acquired by the EMS energy management system and the AGC system of the new energy station, calculating constraint conditions, determining an active target value of the station according to the constraint conditions and then transmitting the active target value to the AGC system of the new energy station;
and the client is used for acquiring the related information from the server and displaying the related information.
Advantages of additional aspects of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments of the present invention or in the description of the prior art will be briefly described below, and it is obvious that the drawings described below are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flow chart of an active control method for new energy power generation in consideration of nested section constraints according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a blocking detection process in the new energy power generation active control method considering nested section constraints shown in FIG. 1;
FIG. 3 is a schematic flow chart of the station constraint determining method in the new energy power generation active control method considering the nested section constraint shown in FIG. 1;
FIG. 4 is a schematic flow chart of the determination of section constraint conditions in the new energy power generation active control method considering nested section constraints shown in FIG. 1;
fig. 5 is a schematic structural block diagram of a new energy power generation active control system considering nested section constraints according to an embodiment of the present invention;
FIG. 6 is a schematic block diagram of a server in the active control system for new energy power generation considering nested profile constraints, shown in FIG. 5;
fig. 7 is a schematic block diagram of a data processing module in the server shown in fig. 6.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, shall fall within the scope of protection of the present invention.
As shown in fig. 1, a new energy power generation active control method considering nested section constraints includes the following steps:
and S1, obtaining active control system parameters, new energy section constraint real-time data, new energy station constraint real-time data and station configuration under the section.
Wherein, new forms of energy station restraint real-time data includes: the actual output of the station and the last control target value. The active control system parameters include: adjusting dead zones and station data anomalies causes the system to automatically control the exit percentage. The new energy section constraint real-time data comprises: current value of section current and section limit value.
And S2, judging whether the actual output of the station is available or not according to the automatic control exit percentage of the system caused by the actual output and station data abnormality, judging whether the section flow is available or not according to the current value of the section flow, and calculating the actual output of the new energy of the section according to the actual output of the station and the station configuration under the section.
And S3, when the actual output and the section tide of the station are available, carrying out locking detection, specifically, judging the locking state of the current station according to the last control target value, the actual output and the adjustment dead zone of the current station until all stations under the section determined according to the station configuration under the section are traversed.
S4, determining station constraint conditions according to the locking states of all stations, and eliminating uncontrollable stations, wherein the station constraint conditions comprise: and re-determining the up-regulation step length and the down-regulation step length of all stations, and the up-regulation limit value and the down-regulation limit value.
S5, determining section constraint conditions according to the section structure, the section limit value, the actual section new energy output and the upper limit and the lower limit of all stations, wherein the section constraint conditions comprise: the upper limit value of the cross section and the lower limit value of the cross section.
And S6, determining the active target values of all stations according to the station constraint conditions and the section constraint conditions.
Specifically, in this embodiment, S2 specifically includes:
s21, the process of determining whether the actual output of the station is available includes: and judging whether jumping and dead numbers exist according to the actual output of the stations, marking the corresponding stations in a non-automatic control state when the judgment result is yes, and setting the system in the non-automatic control state and forming alarm data to be inserted into a real-time alarm queue after the number of the stations marked in the non-automatic control state reaches the automatic control exit percentage of the system caused by abnormal station data.
S22, the process of judging whether the section tide is available comprises the following steps: and judging whether jumping and dead counts exist according to the current value of the section tide, if so, setting the system to be in a non-automatic control state and forming alarm data to be inserted into a real-time alarm queue.
And S23, calculating the total sum of the actual output of all stations under the section determined based on the station configuration under the section to obtain the new energy actual output of the section.
That is, when the actual output of the station determines that the jump and the dead number occur, the corresponding station is marked as an uncontrollable state, and when the number of the uncontrollable stations reaches the automatic control exit percentage caused by the abnormal station data, the system is in the uncontrollable state, thereby generating the alarm data. In other words, if no jumps and no dead counts occur, the actual contribution of the station is available.
And when the jump and the dead number are judged according to the current value of the section flow, the system is in an uncontrollable state, so that alarm data is generated. In other words, if no jump or dead number occurs, the cross-sectional power flow is available. And when the actual output and the section tide of the station are available, the subsequent determination process of the constraint condition can be carried out.
In addition, the constraint real-time data of the new energy station can further comprise installed capacity, an up-regulation step length, a down-regulation step length, an up-locking state and a down-locking state. The active control system parameters may further include: the system automatically controls the mark and the control period. The new energy profile constraint real-time data may also include a profile type. It should be noted that the up-step and the down-step herein include the initial setting and the re-determination during the last target value distribution.
Optionally, in an embodiment, the constraining the real-time data by the new energy station further includes: the station automatic control flag, then S1 further includes:
and S11, dividing the new energy station into a controllable station queue and an uncontrollable station queue according to the station automatic control sign.
Then S2 specifically includes: and judging whether the actual output of the station in the controllable station queue is available or not according to the automatic control exit percentage of the system caused by the actual output and station data abnormity, and meanwhile, calculating the actual output of the new energy of the section according to the actual output of the station in the controllable station queue and the station configuration under the section.
That is to say, in the initial state, the division of controllable and uncontrollable stations is dominated by the station automatic control flag, but in the actual operation process, uncontrollable stations may exist in the initial controllable station queue, and in order to ensure the fairness and effectiveness of the final distribution, the uncontrollable stations need to be removed to ensure that only active distribution is performed on the participating controllable stations.
Optionally, in another embodiment, the new energy profile constraint real-time data further includes: the section adjustment mark and the section upper section number further include in S1:
and S12, loading all stations contained in the lower section from the controllable station queue according to the station configuration in the lower section.
And S13, traversing the section after loading, judging whether a controllable station is under the section, and marking the current section as a non-automatic adjustment state if the controllable station is not under the section.
And S14, removing the sections in the non-automatic adjustment state according to the section adjustment marks, and reorganizing the upper-level sections.
Specifically, in this embodiment, step S14 specifically includes:
and S141, forming a nested section structure by the loading section.
And S142, traversing the section in the automatic adjustment state, and when the upper section is in the non-automatic adjustment state, continuously searching the upper section of the upper section upwards until the upper section in the automatic state is searched.
And S143, setting the upper section of the current section as the searched section, and if the upper section in the automatic adjustment state is not searched, determining that the current section is the top section.
And S144, forming a tree-shaped cross section structure based on each top layer cross section and each lower level cross section.
According to the technical scheme of the embodiment, all stations contained under the sections are loaded from the controllable station queue, the sections with the judgment results that no controllable station exists under the sections are marked in the non-automatic adjustment state, the sections in the non-automatic adjustment state are removed, and then the upper-level sections are reorganized, so that the section structure can be simplified, an effective section nesting structure is obtained, and convenience is brought to subsequent calculation.
Optionally, in another embodiment, as shown in fig. 2, step S3 specifically includes:
and S31, judging whether the current station is in an upper locking state, if so, executing S32, and otherwise, executing S33.
And S32, judging whether the actual output of the current station is larger than the difference value between the last control target value and the regulation dead zone, if so, releasing the upper lock and executing S34.
And S33, judging whether the actual output of the current station is smaller than the difference between the last control target value and the adjustment dead zone, and if so, locking up.
And S34, judging whether the current station is in a down locking state, if so, executing S35, and otherwise, executing S36.
And S35, judging whether the actual output of the current station is smaller than the sum of the last control target value and the adjustment dead zone, if so, releasing the lower lock, and executing S31 until stations in the controllable station queue are traversed.
And S36, judging whether the actual output of the current station is larger than the sum of the last control target value and the adjustment dead zone, if so, performing down locking, and performing S31 until stations in the controllable station queue are traversed.
Step S4 specifically includes:
and S41, traversing the stations in the station controllable queue, recalculating the up-regulation step length of the station according to the up-locking state, adjusting the up-regulation step length to zero during up-locking, and recalculating the down-regulation step length of the station according to the down-locking state.
And S42, determining the upper adjustment limit value of the station according to the upper locking state, the actual output and the adjusted up-adjustment step length of the station. Specifically, when the upper lock state is lock, the upper adjustment limit value of the station is equal to the actual output, otherwise, the upper adjustment limit value is equal to the sum of the actual output of the station and the readjusted upper adjustment step length.
And S43, determining a down regulation limit value of the station according to the down locking state of the station, the actual output and the adjusted down regulation step length. Specifically, when the current locking state is locking, the lower limit value of the station is equal to the actual output, otherwise, the lower limit value is equal to the difference between the actual output of the station and the readjusted lower step length, and the lower limit value is zero when the lower limit value is less than zero.
And S44, if the readjusted up-regulation step length and down-regulation step length of the current station are zero at the same time, rejecting the current station.
Fig. 3 is a schematic flow chart illustrating the process of determining station constraints in the embodiment of the present invention. And recalculating the up/down adjustment step length of the station according to the judgment result of the locking state of the station, calculating an up adjustment limit value and a down adjustment limit value of the station, and rejecting the uncontrollable station. Mainly, according to the locking state in step S3, it is determined that the current station on-tune step size is adjusted to zero during the on-lock, that is, the on-tune is not performed any more. And judging that the current station down-regulation step size is adjusted to be zero when the down-locking is carried out, namely, the down-regulation is not carried out. And after the calculation is finished, if the up-regulation step length and the down-regulation step length of the station are both zero, the current station is removed, and the station does not participate in the regulation in the period.
Due to the fact that the section structures are nested and complicated, each section may have sub-sections and stations not included in the sub-sections, recursive calls are used when the upper and lower limit values of the section are obtained, calculation is started from the top section and return is performed from the bottom section, the upper and lower limit values of all the sections are finally obtained, and the process of obtaining the upper and lower limit values of one section is shown in fig. 4. Step S5 specifically includes:
and S51, initializing the upper limit value and the lower limit value of the obtained section to be 0, wherein the obtained section is any section in the tree structure.
And S52, traversing all sub-sections under the obtained section, and obtaining the upper limit value and the lower limit value of the sub-sections according to recursive calling.
And S53, adding the upper limit value of the obtained sub-section to the upper limit of the obtained section, and adding the lower limit value of the sub-section to the lower limit of the obtained section.
And S54, after traversing all the sub-sections, solving the sum of the upper limit and the sum of the lower limit of all the stations which do not belong to the sub-sections.
And S55, adding the sum of the upper limits of all the stations which do not belong to the sub-section to the upper limit of the section, adding the sum of the lower limits to the lower limit of the section, and respectively obtaining an upper limit value and a lower limit value of the section.
And S56, calculating the output limit value of the new energy station of the section according to the actual output of the new energy of the section, the limit value of the section and the flow of the section. Specifically, the output limit of the new energy of the section is the actual output of the new energy of the section + the section limit-the section trend.
And S57, when the new energy output limit value is smaller than the section lower limit value, correcting the section upper limit value to be equal to the section lower limit value. And when the output limit value of the new energy field station is smaller than the section upper adjusting limit value and larger than the section lower adjusting limit value, correcting the section upper adjusting limit value to be equal to the output limit value of the new energy field station.
And S58, repeating the steps from S51 to S57, and performing recursive calculation to complete all the sections and sub-sections included in the tree structure.
Optionally, in an embodiment, step S6 is: according to the station constraint conditions and the section constraint conditions, solving the optimal solution by using a quadratic programming active set method to obtain the active target values of all stations, wherein the method specifically comprises the following steps:
and S61, determining the target power distributed by the ith station at the time t according to any one of the following target functions, wherein i is 1, … n, and the target function comprises: and the station equivalent installed capacity average distribution objective function, the station power generation progress balance and the installed capacity average distribution objective function are taken into consideration, and the objective functions are distributed according to the station comprehensive sorting sequence. Each objective function is specifically as follows:
station equivalent installed capacity average allocation objective function:
Figure BDA0002407203200000161
wherein, Pi，tTarget power, P, allocated for the ith station at time ti，NIs the equivalent installed capacity of the ith station, CiAnd the allocation is a penalty coefficient, and is normal allocation when the allocation is equal to 1, penalty allocation when the allocation is greater than 1, reward allocation when the allocation is less than 1, and n is the number of stations participating in control.
The station power generation progress balance gives consideration to the installed capacity average distribution objective function:
Figure BDA0002407203200000162
wherein, Pi，tTarget power, P, allocated to the ith station at time ti，NInstalled capacity, UH, for the ith stationiFor power generation at the ith station, UHmaxThe maximum value of the power generation time of all stations participating in the control is cpe, the balanced power exponent of the power generation progress is cpe, n is the number of the stations participating in the control,
cpe is calculated as follows:
Figure BDA0002407203200000163
wherein E isminFor equalizing the minimum value allowed by the power exponent term, UH, of the power generation progress of the station with the minimum value for power generationminFor the minimum value of the generation time of all stations participating in the control, RtargetA limit value of a ratio of power generation progress balance power exponent terms of a station with the minimum power generation time and a station with the maximum power generation time, RminThe ratio of the minimum value of the power generation time to the maximum value of the power generation time of all the stations participating in the control.
Allocating target functions according to the comprehensive sequencing sequence of the stations:
Figure BDA0002407203200000164
wherein, Pi，tTarget power, P, allocated for the ith station at time tmax，NSeq being the maximum value of installed capacity of all stations participating in the controliFor the integrated sequence number, seq, of the ith stationmaxMaximum value of the composite sequence number for all stations participating in the control, ciFor the scaling factor, n is the number of stations participating in the control.
That is, in this embodiment, the user may select one of the above 3 objective functions to solve according to actual conditions.
S62, when the target power distributed by the ith station at the time t meets the following constraint conditions, determining the target power distributed by the ith station at the time t as an active target value of the ith station, wherein the constraint conditions include: a top level section equation constraint, a non-top level section equation constraint and a station constraint. The respective constraints are specifically as follows:
top layer section equation constraint condition:
Figure BDA0002407203200000171
the above formula is the constraint condition of the jth section, wherein, αijWhether the ith station belongs to the jth section or not is judged, and when the ith station is 0, the ith station does not belong to the jth section, and when the ith station is 1, the ith station belongs to the jth section, Pi，tTarget power, P, allocated for the ith station at time tj，limitAnd (3) setting the new energy station output limit value of the jth top layer section, wherein m is the number of sections, and j is 1, … and m.
Non-top section inequality constraint conditions:
Figure BDA0002407203200000172
the above formula is the constraint condition of the jth section, wherein, αijWhether the ith station belongs to the jth section or not is judged, and when the ith station is 0, the ith station does not belong to the jth section, and when the ith station is 1, the ith station belongs to the jth sectionIn, Pi，tTarget power, P, allocated for the ith station at time tj，limitAnd (3) setting the new energy station output limit value of the jth lower section, wherein m is the number of sections, and j is 1, … and m.
Station constraint conditions:
MAX(0，Pi-ΔPi，dec)≤Pi，t≤MIN(Pi，N，Pi+ΔPi，inc)，
the above formula is the constraint condition of the ith station, wherein PiIs the current active power, Δ P, of the ith stationi，decDown step size, delta P, of current active allocation for ith stationi，incUp-regulation step length, P, allocated for current active power of ith stationi，tTarget power, P, allocated for the ith station at time ti，NIs the installed capacity of the ith station.
That is, when no sub-section exists under the top-layer section according to the section nesting structure, the obtained optimal solution is an active target value which simultaneously meets the top-layer section constraint condition and the station constraint condition; when the sub-section is arranged below the top section, the obtained optimal solution is an active target value which simultaneously meets the top section constraint condition, the non-top section constraint condition and the station constraint condition.
It should be understood that, in the embodiments of the present invention, the sequence numbers of the above-mentioned processes do not mean the execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.
The technical solution of the new energy power generation active control method considering the nested section constraints according to the embodiment of the present invention is described in detail above with reference to fig. 1 to 4, and the technical solution of the new energy power generation active control system considering the nested section constraints according to the embodiment of the present invention is described in detail below with reference to fig. 5 to 7.
As shown in fig. 5, a new energy power generation active control system considering nested profile constraints includes: the system comprises an EMS energy management system 3, a plurality of new energy station AGC systems 1, a server 2 and a client 4. Wherein the content of the first and second substances,
the EMS energy management system 3 and the plurality of new energy station AGC systems 1 are respectively connected with the server 2 through a switch, and the server 2 is connected with the client 4.
The EMS energy management system 3 is used for acquiring real-time data of section tide and actual output of the station and uploading the data to the server 2.
The new energy station AGC system 1 is used for acquiring real-time operation data of the station and uploading the real-time operation data to the server 2, and performing active control on the station based on the data sent by the server 2.
The server 2 is used for loading parameters of the system, the section and the station according to the acquired real-time data acquired by the EMS energy management system 3 and the new energy station AGC system 1, calculating constraint conditions, determining an active target value of the station according to the constraint conditions, and then sending the active target value to the new energy station AGC system 1.
The client 4 is used for obtaining relevant information from the server 2 and displaying the relevant information.
It should be understood that, in the embodiment of the present invention, the new energy power generation active control system considering the nested profile constraint according to the embodiment of the present invention may correspond to an execution main body of the new energy power generation active control method considering the nested profile constraint according to the embodiment of the present invention, and the above and other operations and/or functions of each module in the new energy power generation active control system considering the nested profile constraint are/is respectively for implementing corresponding flows of each method in fig. 1 to fig. 4, and for brevity, no further description is provided here.
In one embodiment, as shown in fig. 6, the server 2 includes: a data storage module 21, a data reading module 22, a data processing module 23, a data output module 25 and a data sending module 24. Wherein the content of the first and second substances,
the data storage module 21 is configured to receive and store monitoring data of the system, the section, and the station, which are uploaded by each EMS energy management system 3 and the new energy station AGC system 1.
The data reading module 22 is configured to obtain required data from the data storage module 21 according to an instruction of the data processing module 23, and transmit the required data to the data processing module 23.
The data processing module 23 is configured to obtain real-time data acquired by the EMS energy management system 3 and the new energy station AGC system 1, load system, section, and station parameters, calculate constraint conditions, solve an active target value of the station according to the constraint conditions, and send a target value result to the data storage module 21 through the data sending module 24 for storage.
The data output module 25 is used for acquiring corresponding data from the data storage module 21 according to the instruction sent by the client 4 and transmitting the corresponding data to the client 4.
And the data sending module 24 is used for sending the allocated station target value to the new energy station AGC system 1.
Specifically, as shown in fig. 7, the data processing module 23 includes: a required parameter and real-time data reading unit 231, a station data preprocessing unit 232, a section tree structure processing unit 232, a constraint condition calculating unit 234 and a quadratic programming objective function solving calculating unit 235. Wherein the content of the first and second substances,
the required parameter and real-time data reading unit 231 is used for reading the active control system parameters, and includes: controlling the period and adjusting the dead zone; reading new energy section constraint real-time data, including section tide, section limit value and section type; reading constraint real-time data of the new energy station, including actual output of the station, a last control target value, installed capacity, an up-regulation step length, a down-regulation step length, an up-locking state and a down-locking state; reading the station configuration under the section.
The station data preprocessing unit 232 is configured to determine an up/down locking state of the station according to the last instruction and the current actual output of the station in combination with the system parameters, and determine an upper and lower adjustment limit of the station according to the locking state, so as to achieve the purpose of maximizing the output of the new energy.
The cross-section tree structure processing unit 233 is configured to create a cross-section and a station tree structure relationship in an automatic control state according to a cross-section configuration station, a cross-section state, and a station state.
The constraint condition calculation unit 234 is configured to determine, layer by layer, an upward adjustment limit, a downward adjustment limit, and an actual force output limit of the fracture lower site of each fracture from the bottom fracture according to the tree structure relationship.
The quadratic programming objective function solving calculation unit 235 is configured to use a quadratic programming active set method to solve an optimal solution according to the top-level section equality constraint condition, the non-top-level section inequality constraint condition, and the interval inequality constraint condition of the station.
In addition, the term "and/or" herein is only one kind of association relationship describing an associated object, and means that there may be three kinds of relationships, for example, a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps of the examples described in connection with the embodiments disclosed herein may be embodied in electronic hardware, computer software, or combinations of both, and that the components and steps of the examples have been described in a functional general in the foregoing description for the purpose of illustrating clearly the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, a division of a unit is merely a logical division, and an actual implementation may have another division, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may also be an electric, mechanical or other form of connection.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment of the present invention.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention essentially or partially contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
While the invention has been described with reference to specific embodiments, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims (10)

1. A new energy power generation active control method considering nested section constraints is characterized by comprising the following steps:
s1, obtaining active control system parameters, new energy section constraint real-time data, new energy station constraint real-time data and station configuration under the section, wherein the new energy station constraint real-time data comprises: actual output and last control target value of station, the active control system parameter includes: adjusting dead zone and station data abnormity to cause system automatic control exit percentage, wherein the new energy section constraint real-time data comprises: current value of section tidal current and section limit value;
s2, judging whether the actual output of the station is available or not according to the automatic control exit percentage of the system caused by the actual output and station data abnormality, judging whether the section flow is available or not according to the current value of the section flow, and meanwhile, calculating the actual output of the new energy of the section according to the actual output of the station and the station configuration under the section;
s3, when the actual output and the section tide of the station are available, judging the locking state of the current station according to the last control target value, the actual output and the adjustment dead zone of the current station until traversing all stations under the section determined according to the station configuration under the section;
s4, determining station constraint conditions according to the locking states of all the stations and eliminating uncontrollable stations, wherein the station constraint conditions comprise: re-determining the up-regulation step length, the down-regulation step length, the up-regulation limit value and the down-regulation limit value of all the stations;
s5, determining section constraint conditions according to the section structure, the section limit value, the section new energy actual output and the upper limit and the lower limit of all the stations, wherein the section constraint conditions comprise: a section upper regulation limit value and a section lower regulation limit value;
and S6, determining the active target values of all the stations according to the station constraint conditions and the section constraint conditions.
2. The active control method for new energy power generation considering nested profile constraints of claim 1, wherein the new energy station constraint real-time data further comprises: the station automatic control flag, then S1 further includes:
s11, dividing the new energy station into a controllable station queue and an uncontrollable station queue according to the station automatic control sign;
then S2 specifically includes: and judging whether the actual output of the station in the controllable station queue is available or not according to the automatic control exit percentage of the system caused by the actual output and station data abnormity, and meanwhile, calculating the actual output of the new energy of the section according to the actual output of the station in the controllable station queue and the station configuration under the section.
3. The active control method for new energy power generation considering nested profile constraints of claim 2, wherein the real-time data of new energy profile constraints further comprises: the section adjustment mark and the section upper section number further include in S1:
s12, loading all stations contained under the section from the controllable station queue according to station configuration under the section;
s13, traversing the section after loading, judging whether a controllable station is under the section, and marking the current section as a non-automatic adjustment state if the controllable station is not under the section;
and S14, removing the section in the non-automatic adjustment state according to the section adjustment mark, and reorganizing the upper section.
4. The active control method for new energy power generation considering nested profile constraints as claimed in claim 3, wherein S14 specifically includes:
s141, loading the section to form a nested section structure;
s142, traversing the section in the automatic adjustment state, and when the upper section is in the non-automatic adjustment state, continuously searching the upper section of the upper section upwards until the upper section in the automatic state is searched;
s143, setting the upper section of the current section as a searched section, and if the upper section in an automatic adjustment state is not searched, determining that the current section is a top section;
and S144, forming a tree-shaped cross section structure based on each top layer cross section and each lower level cross section.
5. The active control method for new energy power generation considering nested profile constraints as claimed in claim 4, wherein S5 specifically includes:
s51, initializing an upper limit value and a lower limit value of the obtained section to be 0, wherein the obtained section is any section in the tree structure;
s52, traversing all sub-sections under the obtained section, and obtaining an upper limit value and a lower limit value of the sub-sections according to recursive calling;
s53, adding the upper limit value of the obtained sub-section to the upper limit of the obtained section, and adding the lower limit value of the sub-section to the lower limit of the obtained section;
s54, after traversing all the sub-sections, solving the sum of the upper limit and the sum of the lower limit of all the stations which do not belong to the sub-sections;
s55, adding the sum of the upper limits of all stations which do not belong to the sub-section to the upper limit of the section to be obtained, adding the sum of the lower limits to the lower limit of the section to be obtained, and respectively obtaining an upper limit value and a lower limit value of the section to be obtained;
s56, calculating the output limit value of the new energy station of the section according to the actual output of the new energy of the section, the limit value of the section and the flow of the section;
s57, when the new energy output limit value is smaller than the section lower limit value, correcting the section upper limit value to be equal to the section lower limit value; when the output limit value of the new energy field station is smaller than the section upper adjusting limit value and larger than the section lower adjusting limit value, correcting the section upper adjusting limit value to be equal to the output limit value of the new energy field station;
s58, repeating S51-S57, and recursively calculating all the sections and sub-sections included in the tree structure.
6. The active control method for new energy power generation considering nested profile constraints of claim 5, wherein the S6 is: according to the station constraint conditions and the section constraint conditions, solving the optimal solution by using a quadratic programming active set method to obtain the active target values of all stations, wherein the method specifically comprises the following steps:
s61, determining the target power allocated to the ith station at time t according to any one of the following objective functions, where i is 1, … n, and the objective function includes:
station equivalent installed capacity average allocation objective function:
Figure FDA0002407203190000031
wherein, Pi，tTarget power, P, allocated for the ith station at time ti，NIs the equivalent installed capacity of the ith station, CiThe station allocation method comprises the following steps of (1) determining a penalty coefficient, wherein the penalty coefficient is normal allocation when the penalty coefficient is equal to 1, is penalty allocation when the penalty coefficient is greater than 1, is reward allocation when the penalty coefficient is less than 1, and n is the number of stations participating in control;
the station power generation progress balance gives consideration to the installed capacity average distribution objective function:
Figure FDA0002407203190000041
wherein, Pi，tTarget power, P, allocated to the ith station at time ti，NInstalled capacity, UH, for the ith stationiFor power generation at the ith station, UHmaxThe maximum value of the power generation time of all stations participating in the control is cpe, the balanced power exponent of the power generation progress is cpe, n is the number of the stations participating in the control,
cpe is calculated as follows:
Figure FDA0002407203190000042
wherein E isminFor equalizing the minimum value allowed by the power exponent term, UH, of the power generation progress of the station with the minimum value for power generationminTo take part inMinimum value of time for power generation, R, of all stations under controltargetA limit value of a ratio of power generation progress balance power exponent terms of a station with the minimum power generation time and a station with the maximum power generation time, RminThe ratio of the minimum value of the generating time to the maximum value of the generating time of all the stations participating in the control;
allocating target functions according to the comprehensive sequencing sequence of the stations:
Figure FDA0002407203190000043
wherein, Pi，tTarget power, P, allocated for the ith station at time tmax，NSeq being the maximum value of installed capacity of all stations participating in the controliFor the integrated sequence number, seq, of the ith stationmaxMaximum value of the composite sequence number for all stations participating in the control, ciThe scaling factor is n, and the number of stations participating in control is n;
s62, when the target power distributed by the ith station at the time t meets the following constraint conditions, determining the target power distributed by the ith station at the time t as an active target value of the ith station, wherein the constraint conditions include:
top layer section equation constraint condition:
Figure FDA0002407203190000051
the above formula is the constraint condition of the jth section, wherein, αijWhether the ith station belongs to the jth section or not is judged, and when the ith station is 0, the ith station does not belong to the jth section, and when the ith station is 1, the ith station belongs to the jth section, Pi，tTarget power, P, allocated for the ith station at time tj，limitThe new energy station output limit value of the jth top layer section is obtained, m is the number of sections, and j is 1, … and m;
non-top section inequality constraint conditions:
Figure FDA0002407203190000052
the above formula is the constraint condition of the jth section, wherein, αijWhether the ith station belongs to the jth section or not is judged, and when the ith station is 0, the ith station does not belong to the jth section, and when the ith station is 1, the ith station belongs to the jth section, Pi，tTarget power, P, allocated for the ith station at time tj，limitThe output limit value of the new energy station of the jth lower section is shown, m is the number of sections, and j is 1, … and m;
station constraint conditions:
MAX(0，Pi-ΔPi，dec)≤Pi，t≤MIN(Pi，N，Pi+ΔPi，inc)，
the above formula is the constraint condition of the ith station, wherein PiIs the current active power, Δ P, of the ith stationi，decDown step size, delta P, of current active allocation for ith stationi，incUp-regulation step length, P, allocated for current active power of ith stationi，tTarget power, P, allocated for the ith station at time ti，NIs the installed capacity of the ith station.
7. The active control method for new energy power generation considering nested fracture surface constraints, according to any one of claims 1 to 6, wherein S2 specifically comprises:
s21, the process of determining whether the actual output of the station is available includes: judging whether jumping and dead numbers exist according to the actual output of the stations, marking the corresponding stations in a non-automatic control state when the judgment result is yes, and setting the system in the non-automatic control state and forming alarm data to be inserted into a real-time alarm queue after the number of the stations marked in the non-automatic control state reaches the automatic control exit percentage of the system caused by abnormal station data;
s22, the process of judging whether the section tide is available comprises the following steps: judging whether jumping and dead counts exist according to the current value of the section tide, if so, setting the system to be in a non-automatic control state and forming alarm data to be inserted into a real-time alarm queue;
and S23, calculating the total sum of the actual output of all stations under the section determined based on the station configuration under the section to obtain the new energy actual output of the section.
8. The active control method for new energy power generation considering nested fracture surface constraints as claimed in any one of claims 2 to 6, wherein the S3 specifically comprises:
s31, judging whether the current station is in an upper locking state, if so, executing S32, otherwise, executing S33;
s32, judging whether the actual output of the current station is larger than the difference value between the last control target value and the adjustment dead zone, if so, releasing the upper lock and executing S34;
s33, judging whether the actual output of the current station is smaller than the difference value between the last control target value and the adjustment dead zone, and if so, locking up;
s34, judging whether the current station is in a down locking state, if so, executing S35, otherwise, executing S36;
s35, judging whether the actual output of the current station is smaller than the sum of the last control target value and the adjustment dead zone, if so, releasing the lower lock, and executing S31 until stations in the controllable station queue are traversed;
and S36, judging whether the actual output of the current station is greater than the sum of the last control target value and the adjustment dead zone, if so, performing down locking, and performing S31 until stations in the controllable station queue are traversed.
9. The active control method for new energy power generation considering nested fracture surface constraints as claimed in any one of claims 2 to 6, wherein the S4 specifically comprises:
s41, traversing the stations in the station controllable queue, recalculating the up-regulation step length of the station according to the up-locking state, and recalculating the down-regulation step length of the station according to the down-locking state;
s42, determining an upper adjustment limit value of the station according to the upper locking state, the actual output and the adjusted upper adjustment step length of the station, specifically, when the upper locking state is locking, the upper adjustment limit value of the station is equal to the actual output, otherwise, the upper adjustment limit value is equal to the sum of the actual output of the station and the readjusted upper adjustment step length;
s43, determining a down-regulation limit value of the station according to the down-locking state, the actual output and the adjusted down-regulation step length of the station, specifically, when the down-locking state is locking, the down-regulation limit value of the station is equal to the actual output, otherwise, the down-regulation limit value is equal to the difference between the actual output of the station and the down-regulation step length after readjustment, and the down-regulation limit value is zero when being less than zero;
and S44, if the readjusted up-regulation step length and down-regulation step length of the current station are zero at the same time, rejecting the current station.
10. A new energy power generation active control system considering nested section constraints is characterized by comprising: EMS energy management system, a plurality of new energy station AGC systems, a server and a client, wherein,
the EMS energy management system and the AGC systems of the new energy stations are respectively connected with a server through a switch, and the server is connected with a client;
the EMS energy management system is used for acquiring real-time data of section tide and actual output of a station and uploading the data to a server;
the new energy station AGC system is used for acquiring real-time operation data of the station and uploading the real-time operation data to the server, and performing active control on the station based on the data sent by the server;
the server is used for loading parameters of the system, the section and the station according to the acquired real-time data acquired by the EMS energy management system and the AGC system of the new energy station, calculating constraint conditions, determining an active target value of the station according to the constraint conditions and then transmitting the active target value to the AGC system of the new energy station;
and the client is used for acquiring the related information from the server and displaying the related information.
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