CN111446740B - New energy power generation active control method and system considering nested section constraint - Google Patents
New energy power generation active control method and system considering nested section constraint Download PDFInfo
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- H—ELECTRICITY
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Abstract
The invention relates to a new energy power generation active control method and system considering nested section constraint, comprising 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 the section; judging whether the actual output of the station and the section tide are available or not, and calculating the actual output of new section energy according to the actual output of the station and the station configuration under the section; when the actual output and section tide of the station are available, locking detection is carried out; determining station constraint conditions according to the locking states of all stations, and eliminating uncontrollable stations; determining section constraint conditions according to the section structure, the section limit value, the actual output of the new section energy source and the upper and lower limits of the station; and determining the active target values of all the stations according to the station constraint conditions and the section constraint conditions. The invention can calculate the active target value meeting the constraint of the nested section, and ensures the fairness of active control of the new energy station under the condition that sections of all levels are not out of limit.
Description
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 constraint.
Background
Due to the intermittence and uncontrollable property of new energy and the characteristic of accessing large-scale new energy stations into different sections of a power grid, complex nesting conditions appear in the section structure, difficulty is brought to real-time scheduling of a power system, and the conditions of power abandoning and unfair distribution of new energy are easy to appear.
Disclosure of Invention
Aiming at the defects of the prior art, the technical problem to be solved by the invention is to provide the new energy power generation active control method taking the nested section constraint into consideration, which determines the active distribution target value of the station through station constraint conditions and section constraint conditions obtained based on real-time operation data of the system, the section and the station, and realizes the maximization of new energy output on the basis of ensuring distribution fairness and section tide without out-of-limit.
The technical scheme for solving the technical problems is as follows: a new energy power generation active control method considering nested section constraint comprises the following steps:
s1, 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, wherein the new energy station constraint real-time data comprises: the actual output of the station and the last control target value, and the active control system parameters comprise: adjusting the exit percentage of the system automatic control caused by the abnormal dead zone and station data, and restricting the real-time data of the new energy section comprises the following steps: a current value of the section tide and a 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 power flow is available or not according to the current value of the section power flow, and simultaneously calculating the actual output of new section energy according to the actual output of the station and station configuration under the section;
s3, when the actual output of the station and the section tide 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 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: the step up and step down of all stations, and the step up limit value and the step down limit value are determined again;
s5, determining a section constraint condition according to a section structure, a section limit value, actual output of new section energy sources, and upper and lower limits of all stations, wherein the section constraint condition comprises: a section up-limit and a section down-limit;
s6, determining the active target values of all the stations according to the station constraint conditions and the section constraint conditions.
The beneficial effects of the invention are as follows: the active 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 section and the station, and new energy output maximization is achieved on the basis of ensuring that the fairness of active distribution and the section trend are not out of limit.
On the basis of the technical scheme, the invention can be improved as follows.
Further, the new energy station constraint real-time data includes: 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 mark;
the specific steps in S2 are: and judging whether the actual output of the field station in the controllable field station queue is available or not according to the automatic control exit percentage of the system caused by the actual output and the abnormal field station data, and simultaneously calculating the actual output of new energy sources of the section according to the actual output of the field station in the controllable field station queue and the field station configuration under the section.
The beneficial effects of adopting the further scheme are as follows: the new energy stations are divided into controllable and uncontrollable station queues according to the station automatic control mark, and active control is carried out on the controllable stations, so that the calculation cost can be effectively reduced.
Further, the new energy section constraint real-time data includes: section adjustment sign, section superior section number, still include in then 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 is finished, judging whether a controllable station exists under the section, and if not, marking the current section as a non-automatic adjustment state;
s14, removing the sections in the non-automatic adjustment state according to the section adjustment mark, and reorganizing the upper sections.
The beneficial effects of adopting the further scheme are as follows: all stations contained under the section are loaded from the controllable station queue, the section with the judgment result that no controllable station is 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 nested structure is obtained, and convenience is provided for subsequent calculation.
Further, S14 specifically includes:
s141, forming a nested section structure by the loading section;
s142, traversing the section in the automatic adjustment state, and continuously searching the upper section of the upper section upwards when the upper section is in the non-automatic adjustment state until the upper section in the automatic state is searched;
S143, setting the upper-level section of the current section as the searched section, and if the upper-level section in the automatic adjustment state is not searched, setting the current section as the top-level section;
s144, forming a cross section structure of a tree structure based on each top-layer cross section and lower-level cross sections.
Further, since the cross-section structure is complicated, there may be sub-cross-sections for each cross-section and there are stations not included in the sub-cross-sections, so that a recursive call is used when the upper and lower limit values of the cross-sections are obtained, the calculation is started from the top cross-section and returns from the bottom cross-section, the upper and lower limit values of all the cross-sections are finally obtained, and the process of obtaining the upper and lower limit values of any cross-section is as follows, and S5 specifically includes:
s51, initializing an upper limit value and a lower limit value of a calculated section to be 0, wherein the calculated section is any section in the tree structure;
s52, traversing all the sub-sections under the calculated section, and calculating the upper limit value and the lower limit value of the sub-section according to the recursion call;
s53, accumulating the upper limit value of the obtained sub-section to the upper limit of the obtained section, and accumulating the lower limit value of the sub-section to the lower limit of the obtained section;
s54, after traversing all the sub-sections, obtaining the sum of the upper limits and the sum of the lower limits of all the stations which do not belong to the sub-sections;
S55, accumulating the sum of the upper limits of all stations which do not belong to the sub-sections to the upper limit of the section, and accumulating the sum of the lower limits to the lower limit of the section to obtain the upper limit value and the lower limit value of the section;
s56, calculating the new energy station output limit value of the calculated section according to the actual output of the new energy of the section, the section limit value and the section power flow;
s57, when the new energy output limit value is smaller than the section down-regulation limit value, correcting the section up-regulation limit value to be equal to the section down-regulation limit value; when the new energy station output limit value is smaller than the section up-regulation limit value and larger than the section down-regulation limit value, correcting the section up-regulation limit value to be equal to the new energy station output limit value;
s58, repeatedly executing S51 to S57, and completing all sections and sub-sections included in the tree structure by recursion calculation.
Further, the step S6 is: according to the station constraint condition and the section constraint condition, solving an optimal solution by using a quadratic programming effective set method to obtain active target values of all stations, wherein the method specifically comprises the following steps:
s61, determining a target power allocated to the ith station at the time t according to any one of the following objective functions, where i=1, … n, where the objective functions include:
Station equivalent installed capacity average allocation objective function:
wherein P is i，t Target power allocated for ith station at time t, P i，N For the equivalent installed capacity of the ith station, C i The penalty coefficient is normally allocated when the penalty coefficient is equal to 1, penalty is allocated when the penalty coefficient is greater than 1, rewards are allocated 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 average allocation objective function of the installed capacity:
wherein P is i，t For the target power allocated by the ith station at time t, P i，N UH for the installed capacity of the ith station i UH for power generation at the ith station max For the maximum value of the power generation time of all stations participating in control, cpe is the power exponent of the power generation progress balance, n is the number of stations participating in control,
the calculation method of the cpe is as follows:
wherein E is min Equalization of minimum value allowed by power exponent term for power generation progress of station with minimum power consumption, UH min Power generation time minimum value for all stations participating in control, R target R is a limit value for equalizing the ratio of power generation progress of the station with the smallest power generation time to the station with the largest power generation time min The ratio of the minimum value of power generation to the maximum value of power generation for all stations participating in control;
Distributing objective functions according to the comprehensive ordering sequence of the stations:
wherein P is i，t Target power allocated for ith station at time t, P max，N For maximum value of installed capacity of all stations participating in control, seq i Sequence number, seq for comprehensive sequence number of ith station max Maximum value of the integrated sequence numbers for all stations involved in the control c i N is the number of stations involved in control, which is the scaling factor;
s62, determining the target power allocated by the ith station at the moment t as an active target value of the ith station when the target power allocated by the ith station at the moment t meets the following constraint conditions, wherein the constraint conditions comprise:
top-level section equation constraint:
the upper part isConstraint on the jth section, where α ij Is whether the ith station belongs to the jth section, and when it is 0, it means not, when it is 1, it means belonging, P i，t Target power allocated for ith station at time t, P j，limit The new energy station output limit value of the jth top section is set, and m is the number of sections;
non-top slice inequality constraint:
the above formula is the constraint of the j-th section, wherein alpha ij Is whether the ith station belongs to the jth section, and when it is 0, it means not, when it is 1, it means belonging, P i，t Target power allocated for ith station at time t, P j，limit The new energy station output limit value is the j-th lower section, and m is the section number;
station constraint:
MAX(0，P i -ΔP i，dec )≤P i，t ≤MIN(P i，N ，P i +ΔP i，inc )，
the above is the constraint of the ith station, where P i For the current active power of the ith station, ΔP i，dec The step-down step, ΔP, of the current active allocation for the ith station i，inc Up step size, P, of current active allocation for ith station i，t Target power allocated for ith station at time t, P i，N Is the installed capacity of the i-th station.
The beneficial effects of adopting the further scheme are as follows: the real-time operation data of the sections and the stations are combined, a new energy station active control algorithm under the constraint of the nested sections is considered, one of the power generation progress balance of the new energy station, the equal installed capacity average distribution of the station and the comprehensive sequencing order distribution of the stations is taken as an objective function, the installation and the power generation capacity of the new energy station are combined with the adjustment margin of each new energy section to solve the new energy station active distribution target value, the fairness of the active distribution and the limit of the section trend are ensured not to be exceeded, the maximization of the new energy output is realized on the basis, and the method has very high practical value in the aspect of the active fine control of the large-scale new energy complex nested sections.
Further, S2 specifically includes:
s21, judging whether the actual output of the station is available or not, wherein the process of judging whether the actual output of the station is available comprises the following steps: judging whether jump and dead number exist according to actual output of the stations, marking the corresponding stations in a non-automatic control state when the judgment result is yes, 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 stations in the non-automatic control state reaches the automatic control exit percentage of the system caused by abnormal station data;
s22, judging whether the section tide is available or not, wherein the process of judging whether the section tide is available comprises the following steps: judging whether jump and dead number exist according to the current value of the section tide, if so, setting the system to a non-automatic control state, forming alarm data and inserting the alarm data into a real-time alarm queue;
s23, calculating the total sum of the actual output of all stations under the section determined based on the station configuration under the section, and obtaining the actual output of the new energy source of the section.
The beneficial effects of adopting the further scheme are as follows: when the jump and dead number occur according to the actual output of the stations, the corresponding stations are marked as uncontrollable states, and when the number of the uncontrollable stations reaches the automatic control exit percentage of the system caused by station data abnormality, the system is in the uncontrollable state, so that alarm data are generated. In other words, if no jumps or dead numbers occur, the actual output of the station is available.
When the jump and dead number are judged to occur according to the current value of the section tide, the system is in an uncontrollable state, so that alarm data are generated. In other words, if no jump or dead number occurs, the section flow is available.
That is, it makes sense to make a subsequent determination of the constraints only if both the actual output and the profile flow of the site are available.
Further, the step 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, unlocking 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 lower 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 locking, and executing S31 until traversing the stations in the controllable station queue;
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, locking down, and S31, until traversing the stations in the controllable station queue.
The beneficial effects of adopting the further scheme are as follows: and preparing for removing the uncontrollable station in the next step by determining the locking state of the station in the controllable station queue.
Further, the step S4 specifically includes:
s41, traversing the stations in the station controllable queue, recalculating the up-regulation step length of the stations according to the up-locking state, and recalculating the down-regulation step length of the stations according to the down-locking state;
s42, determining an up-regulation limit value of the station according to the up-locking state of the station, the actual output and the adjusted up-regulation step length;
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;
s44, if the up-regulation step length and the down-regulation step length after the current station is readjusted are simultaneously zero, the current station is rejected.
The beneficial effects of adopting the further scheme are as follows: based on the readjusted up-regulation step length and down-regulation step length, uncontrollable stations are further removed from the controllable station queues, active control is ensured to be carried out on the effective controllable stations, and the effectiveness of active distribution is ensured.
Further, S43 specifically is: when the upper locking state is locking, the upper limit value of the station is equal to the actual output, otherwise, the upper limit value is equal to the sum of the actual output of the station and the readjusted upper step length;
S44 specifically comprises the following steps: when the lower 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 being smaller than zero.
The other technical scheme for solving the technical problems is as follows: a new energy power generation active control system taking into consideration nested section constraints comprises: an 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 plurality of new energy station AGC systems 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 collecting real-time data of section tide and actual output of the station and uploading the real-time data to the server;
the new energy station AGC system is used for collecting real-time operation data of the station, uploading the real-time operation data to the server and carrying out 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 new energy station AGC system, 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;
The client is used for acquiring related information from the server and displaying the related information.
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 following description will briefly explain the embodiments of the present invention or the drawings used in the description of the prior art, and it is obvious that the drawings described below are only some embodiments of the present invention, and other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of a new energy power generation active control method taking into consideration nested section constraints, provided by an embodiment of the invention;
FIG. 2 is a schematic flow chart of a latch-up detection process in the active control method of new energy power generation shown in FIG. 1, which takes into account nested section constraints;
FIG. 3 is a schematic flow chart of determining station constraints in the active control method of new energy power generation taking into account nested section constraints shown in FIG. 1;
FIG. 4 is a schematic flow chart of determining section constraints in the active control method for new energy power generation taking into account nested section constraints shown in FIG. 1;
FIG. 5 is a schematic block diagram of a new energy power generation active control system taking into account 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 shown in FIG. 5, taking into account nested profile constraints;
fig. 7 is a schematic block diagram of a data processing module in the server shown in fig. 6.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
As shown in fig. 1, a new energy power generation active control method considering nested section constraint includes the following steps:
s1, acquiring 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 includes: the actual output of the station and the last control target value. The active control system parameters include: adjusting dead zone and station data anomalies causes the system to automatically control the exit percentage. The new energy section constraint real-time data comprises: the current value of the section tide and the 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 power flow is available or not according to the current value of the section power flow, and simultaneously calculating the actual output of the new section energy according to the actual output of the station and station configuration under the section.
And S3, when the actual output and the section power flow of the station are available, locking detection is carried out, specifically, the locking state of the current station is judged 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: the step up and step down of all stations are redetermined, and the step up limit value and the step down limit value.
S5, determining section constraint conditions according to the section structure, the section limit value, the actual output of new section energy sources and the upper limit and the lower limit of all stations, wherein the section constraint conditions comprise: a section up-limit and a section down-limit.
S6, determining the active target values of all the stations according to the station constraint conditions and the section constraint conditions.
Specifically, in this embodiment, S2 specifically includes:
s21, judging whether the actual output of the station is available or not, wherein the process of judging whether the actual output of the station is available comprises the following steps: judging whether jump and dead number exist according to actual output of the stations, marking the corresponding stations in a non-automatic control state when the judgment result is yes, 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 stations in the non-automatic control state reaches the automatic control exit percentage of the system caused by abnormal station data.
S22, judging whether the section tide is available or not, wherein the process of judging whether the section tide is available comprises the following steps: judging whether jump and dead number exist according to the current value of the section tide, if so, setting the system to a non-automatic control state, forming alarm data and inserting the alarm data into a real-time alarm queue.
S23, calculating the total sum of the actual output of all stations under the section determined based on the station configuration under the section, and obtaining the actual output of the new energy source of the section.
That is, when the jump and dead number occur according to the actual output of the station, the corresponding station is marked as an uncontrollable state, and when the number of uncontrollable stations reaches the station data abnormality to cause the system to automatically control the exit percentage, the system is in the uncontrollable state, thereby generating alarm data. In other words, if no jumps or dead numbers occur, the actual output of the station is available.
When the jump and dead number are judged to occur according to the current value of the section tide, the system is in an uncontrollable state, so that alarm data are generated. In other words, if no jump or dead number occurs, the section flow is available. And when the actual output and the section tide of the station are available, the subsequent constraint condition determination process can be performed.
In addition, the new energy station constraint real-time data can also comprise installed capacity, up-regulation step length, down-regulation step length, up-locking state and down-locking state. The active control system parameters may also include: the system automatically controls the mark and the control period. The new energy section constraint real-time data can also comprise section types. The up-step and the down-step here include those that were initially set and that were redetermined during the last allocation of the target value.
Optionally, in one embodiment, the new energy station constraint real-time data further includes: 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 mark.
The specific steps in S2 are: and judging whether the actual output of the field station in the controllable field station queue is available or not according to the automatic control exit percentage of the system caused by the actual output and the abnormal field station data, and simultaneously calculating the actual output of new energy sources of the section according to the actual output of the field station in the controllable field station queue and the field station configuration under the section.
That is, in the initial state, the division of the controllable and uncontrollable stations is mainly based on the station automatic control mark, but in the actual operation process, uncontrollable stations may exist in the initial controllable station queue, so that in order to ensure the fairness and effectiveness of the final allocation, the uncontrollable stations need to be removed, and only the participating controllable stations are ensured to be actively allocated.
Optionally, in another embodiment, the new energy profile constraint real-time data further includes: section adjustment sign, section superior section number, still include in then S1:
and S12, loading all stations contained under the section from the controllable station queue according to station configuration under the section.
And S13, traversing the section after loading is finished, judging whether a controllable station exists under the section, and if not, marking the current section as a non-automatic adjustment state.
S14, removing the sections in the non-automatic adjustment state according to the section adjustment mark, and reorganizing the upper sections.
Specifically, in this embodiment, step S14 specifically includes:
s141, forming a nested section structure by the loading sections.
S142, traversing the section in the automatic adjustment state, and when the upper section is in the non-automatic adjustment state, continuing to search the upper section of the upper section upwards until the upper section in the automatic state is searched.
S143, setting the upper-level section of the current section as the searched section, and if the upper-level section in the automatic adjustment state is not searched, setting the current section as the top-level section.
S144, forming a cross section structure of a tree structure based on each top-layer cross section and lower-level cross sections.
According to the technical scheme of the embodiment, all stations contained under the section are loaded from the controllable station queue, the section with the judgment result that no controllable station is 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 provided for subsequent calculation.
Optionally, in another embodiment, as shown in fig. 2, step 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, unlocking the upper lock and executing S34.
And 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 lower locking state, if so, executing S35, 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 locking, and executing S31 until traversing the stations in the controllable station queue.
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 lower locking, and performing S31 until traversing the stations in the controllable station queue.
The step S4 specifically comprises the following steps:
s41, traversing the stations in the station controllable queue, recalculating the up-regulating step length of the stations according to the up-locking state, adjusting the up-regulating step length to be zero during up-locking, and recalculating the down-regulating step length of the stations according to the down-locking state.
S42, determining the up-regulation limit value of the station according to the up-locking state of the station, the actual output and the adjusted up-regulation step length. Specifically, when the up-lock state is the lock, the up-limit value of the station is equal to the actual output, otherwise the up-limit value is equal to the sum of the actual output of the station and the readjusted up-step.
S43, determining the down-regulating limit value of the station according to the down-locking state of the station, the actual output and the adjusted down-regulating step length. Specifically, when the lower locking state is locking, the lower limit value of the station is equal to the actual output force, otherwise, the lower limit value is equal to the difference between the actual output force of the station and the readjusted lower step length, and the lower limit value is zero when being smaller than zero.
S44, if the up-regulation step length and the down-regulation step length after the current station is readjusted are simultaneously zero, the current station is rejected.
Fig. 3 is a schematic flow chart of determining station constraint conditions 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 station locking state, calculating the up adjustment limit value and the down adjustment limit value of the station, and eliminating the uncontrollable station. And mainly according to the locking state in the step S3, the step of adjusting the current station up-regulation step length to be zero in the up-locking process is judged, namely the up-regulation is not carried out any more. And (3) judging that the current station down-regulation step length is adjusted to be zero when the station is locked down, namely, not carrying out down-regulation. And if the up-regulation step length and the down-regulation step length of the station are zero after the calculation is finished, eliminating the current station, wherein the current period does not participate in regulation.
Since the cross-section structure is complicated, each cross-section may have sub-cross-sections and stations not included in the sub-cross-sections, a recursive call is used to calculate the upper and lower limit values of the cross-sections, starting with the top-level cross-section and returning from the bottom-level cross-section, and finally the upper and lower limit values of all the cross-sections are calculated, and the process of calculating the upper and lower limit values of any cross-section is shown in fig. 4. The step S5 specifically comprises the following steps:
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 a tree structure.
S52, traversing all the sub-sections under the section, and obtaining the upper limit value and the lower limit value of the sub-sections according to the recursion call.
S53, accumulating the upper limit value of the obtained sub-section to the upper limit of the obtained section, and accumulating the lower limit value of the sub-section to the lower limit of the obtained section.
S54, after traversing all the sub-sections, obtaining the sum of the upper limits and the sum of the lower limits of all the stations not belonging to the sub-sections.
S55, accumulating the sum of the upper limits of all stations which do not belong to the sub-sections to the upper limit of the section, and accumulating the sum of the lower limits to the lower limit of the section to obtain the upper limit value and the lower limit value of the section.
S56, calculating the new energy station output limit value of the calculated section according to the actual output of the new energy of the section, the section limit value and the section power flow. Specifically, the new energy output limit value of the section=the actual new energy output of the section+the section limit value of the section-the section tide.
And S57, when the new energy output limit value is smaller than the section down-regulation limit value, correcting the section up-regulation limit value to be equal to the section down-regulation limit value. When the new energy station output limit value is smaller than the section up-regulation limit value and larger than the section down-regulation limit value, the corrected section up-regulation limit value is equal to the new energy station output limit value.
S58, repeatedly executing S51 to S57, and completing all sections and sub-sections included in the tree structure by recursion calculation.
Optionally, in one embodiment, step S6 is: according to the station constraint condition and the section constraint condition, solving an optimal solution by using a quadratic programming effective set method to obtain 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 the time t according to any one of the following objective functions, where i=1, … n, where the objective functions include: the station equivalent installed capacity average allocation objective function, the station power generation progress balance gives consideration to the installed capacity average allocation objective function, and the objective function is allocated according to the station comprehensive ordering sequence. The respective objective functions are specifically as follows:
station equivalent installed capacity average allocation objective function:
wherein P is i，t Target power allocated for ith station at time t, P i，N For the equivalent installed capacity of the ith station, C i The penalty coefficient is normally allocated when the penalty coefficient is equal to 1, the penalty coefficient is allocated when the penalty coefficient is greater than 1, the reward coefficient is allocated 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 average allocation objective function of the installed capacity:
wherein P is i，t For the target power allocated by the ith station at time t, P i，N UH for the installed capacity of the ith station i UH for power generation at the ith station max For the maximum value of the power generation time of all stations participating in control, cpe is the power exponent of the power generation progress balance, n is the number of stations participating in control,
the calculation method of the cpe is as follows:
wherein E is min Equalization of minimum value allowed by power exponent term for power generation progress of station with minimum power consumption, UH min Power generation time minimum value for all stations participating in control, R target R is a limit value for equalizing the ratio of power generation progress of the station with the smallest power generation time to the station with the largest power generation time min The ratio of the minimum value of the power generation time to the maximum value of the power generation time for all stations participating in the control.
Distributing objective functions according to the comprehensive ordering sequence of the stations:
wherein P is i，t Target power allocated for ith station at time t, P max，N For maximum value of installed capacity of all stations participating in control, seq i Sequence number, seq for comprehensive sequence number of ith station max Maximum value of the integrated sequence numbers for all stations involved in the control c i For scaling factor, n is the number of stations involved in the control.
That is, in this embodiment, the user may select one of the above 3 objective functions to solve according to the actual situation.
S62, determining the target power allocated by the ith station at the moment t as an active target value of the ith station when the target power allocated by the ith station at the moment t meets the following constraint conditions, wherein the constraint conditions comprise: top-level section equation constraints, non-top-level section equation constraints, and station constraints. The respective constraint conditions are specifically as follows:
top-level section equation constraint:
the above formula is the constraint of the j-th section, wherein alpha ij Is whether the ith station belongs to the jth section, and when it is 0, it means not, when it is 1, it means belonging, P i，t Target power allocated for ith station at time t, P j，limit And the new energy station output limit value is the j-th top section, m is the section number, j=1, … and m.
Non-top slice inequality constraint:
the above formula is the constraint of the j-th section, wherein alpha ij Is whether the ith station belongs to the jth section, and whenIt is not attributed to when 0, is attributed to when 1, P i，t Target power allocated for ith station at time t, P j，limit And the new energy station output limit value for the j-th lower section, m is the number of sections, j=1, … and m.
Station constraint:
MAX(0，P i -ΔP i，dec )≤P i，t ≤MIN(P i，N ，P i +ΔP i，inc )，
The above is the constraint of the ith station, where P i For the current active power of the ith station, ΔP i，dec The step-down step, ΔP, of the current active allocation for the ith station i，inc Up step size, P, of current active allocation for ith station i，t Target power allocated for ith station at time t, P i，N Is the installed capacity of the i-th station.
That is, when there is no sub-section under the top section according to the section nested structure, the obtained optimal solution is an active target value that satisfies both the top section constraint condition and the station constraint condition; when a sub-section exists under the top-layer section, the obtained optimal solution is an active target value which simultaneously meets the top-layer section constraint condition, the non-top-layer section constraint condition and the station constraint condition.
It should be understood that, in the embodiments of the present invention, the sequence number of each process does not mean the sequence of execution, and the execution sequence of each process should be determined by its functions and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.
The technical scheme of the new energy power generation active control method considering the nested section constraint provided by the embodiment of the invention is described in detail above with reference to fig. 1 to 4, and the technical scheme of the new energy power generation active control system considering the nested section constraint provided by the embodiment of the 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 taking into account nested section constraints includes: an EMS energy management system 3, a plurality of new energy station AGC systems 1, a server 2 and a client 4. Wherein,,
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 collecting real-time data of the section power flow and the actual output of the station, and uploading the real-time data to the server 2.
The new energy station AGC system 1 is used for collecting real-time operation data of the station, uploading the 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 real-time data acquired by the acquired 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 configured to obtain and display relevant information from the server 2.
It should be understood that, in the embodiment of the present invention, the new energy power generation active control system according to the embodiment of the present invention, in which the nested section constraint is considered, may correspond to an execution subject of the new energy power generation active control method according to the embodiment of the present invention, and the foregoing and other operations and/or functions of each module in the new energy power generation active control system according to the embodiment of the present invention, in which the nested section constraint is considered, are respectively for implementing the respective flows of each method in fig. 1 to 4, and are not repeated herein for brevity.
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 transmitting module 24. Wherein,,
the data storage module 21 is used for receiving and storing the monitoring data of the system, the section and the station 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 the required data from the data storage module 21 according to the instruction of the data processing module 23, and transmit the required data to the data processing module 23.
The data processing module 23 is used for acquiring real-time data acquired by the EMS energy management system 3 and the new energy station AGC system 1, loading system, section and station parameters, calculating constraint conditions, solving an active target value of the station according to the constraint conditions, and sending the target value result to the data storage module 21 for storage through the data sending module 24.
The data output module 25 is configured to obtain corresponding data from the data storage module 21 according to an instruction sent by the client 4, and transmit the corresponding data to the client 4.
The data transmitting module 24 is configured to transmit 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: the required parameters, a real-time data reading unit 231, a station data preprocessing unit 232, a section tree structure processing unit 232, a constraint condition calculation unit 234 and a quadratic programming objective function solving calculation unit 235. Wherein,,
The required parameters and real-time data reading unit 231 is used for reading the active control system parameters, including: 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 new energy station constraint real-time data, including actual station output, last control target value, installed capacity, up-regulation step length, down-regulation step length, up-locking state and down-locking state; the station configuration under the section is read.
The station data preprocessing unit 232 is configured to determine an up/down locking state of the station according to a last command and a current actual output of the station, and determine an up/down adjustment limit of the station according to the locking state, so as to achieve the purpose of maximizing the new energy output.
The section tree structure processing unit 233 is configured to create a section and station tree structure relationship in an automatic control state according to a section configuration station, a section state, and a station state.
The constraint condition calculation unit 234 is configured to determine, layer by layer, from the bottom layer fracture surface, an upward adjustment limit value, a downward adjustment limit value, and an actual output limit value of the fracture surface lower station according to the tree structure relationship.
The quadratic programming objective function solving and calculating unit 235 is configured to solve an optimal solution by using a quadratic programming effective set method according to the top-level section equation constraint condition, the non-top-level section inequality constraint condition, and the section inequality constraint condition of the station.
In addition, the term "and/or" herein is merely an association relationship describing an association object, and means that three relationships may exist, for example, a and/or B may mean: a exists alone, A and B exist together, and B exists alone. In addition, the character "/" herein generally indicates that the front and rear associated objects are an "or" relationship.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps described in connection with the embodiments disclosed herein may be embodied in electronic hardware, in computer software, or in a combination of the two, and that the elements and steps of the examples have been generally described in terms of function in the foregoing description to clearly illustrate 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 solution. 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 will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.
In the several embodiments provided in this application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of elements is merely a logical functional division, and there may be additional divisions of actual implementation, e.g., multiple elements or components may be combined or integrated into another system, or some features may be omitted, or not performed. In addition, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices, or elements, or may be an electrical, mechanical, or other form of connection.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the embodiment of the present invention.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention is essentially or a part contributing to the prior art, or all or part of the technical solution may be embodied in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods of 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, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The present invention is not limited to the above embodiments, and various equivalent modifications and substitutions can be easily made by those skilled in the art within the technical scope of the present invention, and these modifications and substitutions are intended to be included in the scope of the present invention. Therefore, the protection scope of the invention is subject to the protection scope of the claims.
Claims (9)
1. The new energy power generation active control method taking into consideration nested section constraint is characterized by comprising the following steps of:
s1, 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, wherein the new energy station constraint real-time data comprises: the actual output of the station and the last control target value, and the active control system parameters comprise: adjusting the exit percentage of the system automatic control caused by the abnormal dead zone and station data, and restricting the real-time data of the new energy section comprises the following steps: a current value of the section tide and a 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 power flow is available or not according to the current value of the section power flow, and simultaneously calculating the actual output of new section energy according to the actual output of the station and station configuration under the section;
s3, when the actual output of the station and the section tide 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 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: the step up and step down of all stations, and the step up limit value and the step down limit value are determined again;
s5, determining a section constraint condition according to a section structure, a section limit value, actual output of new section energy sources, and upper and lower limits of all stations, wherein the section constraint condition comprises: a section up-limit and a section down-limit;
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 taking into account nested section 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 mark;
the specific steps in S2 are: and judging whether the actual output of the field station in the controllable field station queue is available or not according to the automatic control exit percentage of the system caused by the actual output and the abnormal field station data, and simultaneously calculating the actual output of new energy sources of the section according to the actual output of the field station in the controllable field station queue and the field station configuration under the section.
3. The active control method for new energy power generation taking into account nested section constraints of claim 2, wherein the new energy section constraint real-time data further comprises: section adjustment sign, section superior section number, still include in then 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 is finished, judging whether a controllable station exists under the section, and if not, marking the current section as a non-automatic state;
s14, removing the sections in the non-automatic state according to the section adjustment mark, and reorganizing the upper sections.
4. The active control method for new energy power generation taking into consideration nested section constraints according to claim 3, wherein S14 specifically comprises:
s141, forming a nested section structure by the loading section;
s142, traversing the section in the automatic state, and continuously searching the upper section of the upper section upwards when the upper section is in the non-automatic state until the upper section in the automatic state is searched;
s143, setting the upper section of the current section as the searched section, and if the upper section in the automatic state is not searched, setting the current section as the top section;
S144, forming a cross section structure of a tree structure based on each top-layer cross section and lower-level cross sections.
5. The active control method for new energy power generation taking into consideration nested section constraints as set forth in claim 4, wherein S5 specifically comprises:
s51, initializing an upper limit value and a lower limit value of a calculated section to be 0, wherein the calculated section is any section in the tree structure;
s52, traversing all the sub-sections under the calculated section, and calculating the upper limit value and the lower limit value of the sub-section according to the recursion call;
s53, accumulating the upper limit value of the obtained sub-section to the upper limit of the obtained section, and accumulating the lower limit value of the sub-section to the lower limit of the obtained section;
s54, after traversing all the sub-sections, obtaining the sum of the upper limits and the sum of the lower limits of all the stations which do not belong to the sub-sections;
s55, accumulating the sum of the upper limits of all stations which do not belong to the sub-sections to the upper limit of the section, and accumulating the sum of the lower limits to the lower limit of the section to obtain the upper limit value and the lower limit value of the section;
s56, calculating the new energy station output limit value of the calculated section according to the actual output of the new energy of the section, the section limit value and the section power flow;
s57, when the new energy output limit value is smaller than the section down-regulation limit value, correcting the section up-regulation limit value to be equal to the section down-regulation limit value; when the new energy station output limit value is smaller than the section up-regulation limit value and larger than the section down-regulation limit value, correcting the section up-regulation limit value to be equal to the new energy station output limit value;
S58, repeatedly executing S51 to S57, and completing all sections and sub-sections included in the tree structure by recursion calculation.
6. The active control method for new energy power generation taking into account nested section constraints according to claim 5, wherein S6 is: according to the station constraint condition and the section constraint condition, solving an optimal solution by using a quadratic programming effective set method to obtain active target values of all stations, wherein the method specifically comprises the following steps:
s61, determining a target power allocated to the ith station at the time t according to any one of the following objective functions, where i=1, … n, where the objective functions include:
station equivalent installed capacity average allocation objective function:
wherein P is i,t Target power allocated for ith station at time t, P i，N For the equivalent installed capacity of the ith station, C i The penalty coefficient is normally allocated when the penalty coefficient is equal to 1, penalty is allocated when the penalty coefficient is greater than 1, rewards are allocated 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 average allocation objective function of the installed capacity:
wherein P is i,t For the target power allocated by the ith station at time t, P i，N UH for the equivalent installed capacity of the ith station i UH for power generation at the ith station max For the maximum value of the power generation time of all stations participating in control, cpe is the power exponent of the power generation progress balance, n is the number of stations participating in control,
the calculation method of the cpe is as follows:
wherein E is min Power generation progress for the station with minimum power generation timeMinimum value allowed by constant exponentiation, UH min Power generation time minimum value for all stations participating in control, R target R is a limit value for equalizing the ratio of power generation progress of the station with the smallest power generation time to the station with the largest power generation time min The ratio of the minimum value of power generation to the maximum value of power generation for all stations participating in control;
distributing objective functions according to the comprehensive ordering sequence of the stations:
wherein P is i,t Target power allocated for ith station at time t, P max,N For maximum value of installed capacity of all stations participating in control, seq i Sequence number, seq for comprehensive sequence number of ith station max Maximum value of the integrated sequence numbers for all stations involved in the control c i N is the number of stations involved in control, which is the scaling factor;
s62, determining the target power allocated by the ith station at the moment t as an active target value of the ith station when the target power allocated by the ith station at the moment t meets the following constraint conditions, wherein the constraint conditions comprise:
Top-level section equation constraint:
the above formula is the constraint of the j-th section, wherein alpha ij Is whether the ith station belongs to the jth section, and when it is 0, it means not, when it is 1, it means belonging, P i，t Target power allocated for ith station at time t, P j，limit The new energy station output limit value of the jth top section is represented by m, wherein m is the number of sections, j=1, … and m;
non-top slice inequality constraint:
the above formula is the constraint of the j-th section, wherein alpha ij Is whether the ith station belongs to the jth section, and when it is 0, it means not, when it is 1, it means belonging, P i，t Target power allocated for ith station at time t, P j，limit The new energy station output limit value is the j-th lower section, m is the section number, j=1, … and m;
station constraint:
MAX(0，P i -ΔP i，dec )≤P i，t ≤MIN(P i，N ，P i +ΔP i，inc )，
the above is the constraint of the ith station, where P i For the current active power of the ith station, ΔP i，dec The step-down step, ΔP, of the current active allocation for the ith station i，inc Up step size, P, of current active allocation for ith station i，t Target power allocated for ith station at time t, P i，N Is the equivalent installed capacity of the i-th station.
7. The new energy power generation active control method considering nested fracture surface constraint according to any one of claims 1 to 6, wherein S2 specifically comprises:
S21, judging whether the actual output of the station is available or not, wherein the process of judging whether the actual output of the station is available comprises the following steps: judging whether jump and dead number exist according to actual output of the stations, marking the corresponding stations in a non-automatic control state when the judgment result is yes, 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 stations in the non-automatic control state reaches the automatic control exit percentage of the system caused by abnormal station data;
s22, judging whether the section tide is available or not, wherein the process of judging whether the section tide is available comprises the following steps: judging whether jump and dead number exist according to the current value of the section tide, if so, setting the system to a non-automatic control state, forming alarm data and inserting the alarm data into a real-time alarm queue;
s23, calculating the total sum of the actual output of all stations under the section determined based on the station configuration under the section, and obtaining the actual output of the new energy source of the section.
8. The new energy power generation active control method considering nested fracture surface constraint according to 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, unlocking 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 lower 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 locking, and executing S31 until traversing the stations in the controllable station queue;
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, locking down, and S31, until traversing the stations in the controllable station queue.
9. The new energy power generation active control method considering nested fracture surface constraint according to any one of claims 2 to 6, wherein S4 specifically comprises:
s41, traversing the stations in the station controllable queue, recalculating the up-regulation step length of the stations according to the up-locking state, and recalculating the down-regulation step length of the stations according to the down-locking state;
s42, determining an up-regulation limit value of the station according to the up-locking state of the station, the actual output and the adjusted up-regulation step length, wherein the up-regulation limit value of the station is equal to the actual output when the up-locking state is locked, otherwise, the up-regulation limit value is equal to the sum of the actual output of the station and the readjusted up-regulation step length;
S43, determining a down-regulating limit value of the station according to the down-locking state of the station, the actual output and the adjusted down-regulating step length, wherein the down-regulating limit value of the station is equal to the actual output when the station is in the locked state, otherwise, the down-regulating limit value is equal to the difference between the actual output of the station and the readjusted down-regulating step length, and the down-regulating limit value is zero when the down-regulating limit value is smaller than zero;
s44, if the up-regulation step length and the down-regulation step length after the current station is readjusted are simultaneously zero, the current station is rejected.
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