CN111446740B - New energy power generation active control method and system considering nested section constraint - Google Patents

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

A new energy generation active power control method and system considering nested section constraints

technical field

The invention relates to the field of new energy technology, in particular to a new energy generation active power control method and system considering nested section constraints.

Background technique

Due to the intermittency and uncontrollability of new energy and the characteristics of large-scale new energy stations connected to different sections of the power grid, complex nesting of section structures appears, which brings difficulties to real-time scheduling of the power system and is prone to new energy abandonment. electricity and unfair distribution.

Contents of the invention

The technical problem to be solved by the present invention is to provide a new energy power generation active power control method considering the constraints of nested sections in view of the deficiencies of the existing technologies. Section constraint conditions, determine the active power distribution target value of the station, and maximize the output of new energy on the basis of ensuring the fairness of distribution and the fact that the flow of the section does not exceed the limit.

The technical solution of the present invention to solve the above-mentioned technical problems is as follows: a new energy generation active power control method considering nested section constraints, comprising the following steps:

S1. Obtain active power control system parameters, new energy section constraint real-time data, new energy station constraint real-time data and station configuration under the section, among which, new energy station constraint real-time data includes: the actual output of the station and the last control Target value, the active power control system parameters include: adjustment dead zone and station data abnormality cause system automatic control exit percentage, new energy section constraint real-time data includes: section current value and section limit value;

S2. According to the actual output and station data abnormality, the system automatically controls the withdrawal percentage, judges whether the actual output of the station is available, and judges whether the section tidal current is available according to the current value of the section tidal current. At the same time, according to the actual output of the station and the current value of the section The station configuration calculates the actual output of new energy in the section;

S3. When the actual output of the station and the flow of the section are available, determine the blocking state of the current station according to the last control target value, actual output and adjustment dead zone of the current station until the traversal All stations under the section determined by station configuration;

S4. Determine the station constraint conditions and eliminate uncontrollable stations according to the blocking status of all the stations. The station constraint conditions include: the re-determined upward adjustment step, downward adjustment step, and upward adjustment of all the stations. Limits and lowered limits;

S5. Determine the section constraint conditions according to the section structure, section limit, section new energy actual output and the upper and lower limits of all the stations, the section constraint conditions include: section upward adjustment limit, section downward adjustment limit;

S6. Determine active power target values of all the stations according to the station constraint conditions and the section constraint conditions.

The beneficial effects of the present invention are: through the station constraints and section constraints obtained based on the real-time operation data of the system, section and station, the active power distribution target value of the station is determined, and the fairness of active power distribution and the flow of the section are not exceeded. Maximize the output of new energy sources on a limited basis.

On the basis of the above technical solutions, the present invention can also be improved as follows.

Further, the new energy station constraint real-time data includes: station automatic control flag, then S1 also includes:

S11. According to the station automatic control sign, divide the new energy station into a controllable station queue and an uncontrollable station queue;

Then in S2, it is specifically: according to the actual output and the abnormality of the station data, the system automatically controls the exit percentage, and judges whether the actual output of the controllable station queue is available. At the same time, according to the controllable station queue. The actual output of the station and the station configuration under the section are used to calculate the actual output of new energy in the section.

The beneficial effect of adopting the above further scheme is: according to the automatic control signs of the stations, the new energy stations are divided into controllable and uncontrollable station queues, and active power control of the controllable stations can effectively reduce the calculation cost.

Furthermore, the real-time data of new energy section constraints include: section adjustment flags, section number of the superior section, then S1 also includes:

S12. According to the station configuration under the section, load all the stations included under the section from the controllable station queue;

S13. Traversing the section after loading is completed, judging whether there is a controllable station under the section, if not, marking the current section as a non-automatic adjustment state;

S14. According to the section adjustment flag, the sections in the non-automatic adjustment state are eliminated and then the upper-level sections are reorganized.

The beneficial effect of adopting the above-mentioned further scheme is: by loading all the stations contained under the section from the queue of controllable stations, and marking the sections with no controllable stations under the section as non-automatic adjustment state, and then setting the After the cross-sections in the non-automatic adjustment state are eliminated, the upper-level cross-sections can be reorganized, so that the cross-section structure can be simplified, and an effective cross-section nesting structure can be obtained, which provides convenience for subsequent calculations.

Further, S14 specifically includes:

S141. The loading section forms a nested section structure;

S142. Traversing the sections in the automatic adjustment state, when the upper-level section is in the non-automatic adjustment state, continue to search the upper-level section of the upper-level section until the upper-level section in the automatic state is searched;

S143. Set the upper-level section of the current section as the searched section, if no upper-level section in the automatic adjustment state is found, the current section is the top-level section;

S144, forming a section structure of a tree structure based on each top-level section and lower-level sections.

Furthermore, due to the complex nesting of the section structure, each section may have sub-sections, and there are stations not included in the sub-sections, so recursive calls are used when calculating the upper and lower limits of the section, starting from the top section Calculate and return from the bottom section, and finally obtain the upper and lower limits of all sections, and the process of obtaining the upper and lower limits of a certain section is as follows, S5 specifically includes:

S51. Initialize the upward adjustment limit and the downward adjustment limit of the required section to 0, and the required section is any section in the tree structure;

S52. Traverse all sub-sections under the requested section, and obtain the upper limit and lower limit of the sub-sections according to the recursive call;

S53. Add the calculated upper limit of the sub-section to the upper limit of the required section, and add the lower limit of the sub-section to the lower limit of the required section;

S54, after traversing all sub-sections, obtain the sum of upper limits and the sum of lower limits of all stations not belonging to sub-sections;

S55. Add the sum of the upper limits of all stations that do not belong to the sub-section to the upper limit of the required section, and add the sum of the lower limits to the lower limit of the required section to obtain the upper limit and lower limit of the required section respectively;

S56. According to the actual new energy output of the section, the section limit value and the section tidal current, calculate the new energy station output limit value of the required section;

S57. When the output limit value of the new energy is less than the lower limit value of the section, the upper limit value of the corrected section is equal to the lower limit value of the section; when the output limit value of the new energy station is less than the upper limit value of the section and greater than the lower limit value of the section , the upward adjustment limit of the revised section is equal to the output limit of the new energy station;

S58. Repeat steps S51 to S57, and recursively calculate all the sections and sub-sections included in the tree structure.

Further, the S6 is: according to the station constraints and the section constraints, use the quadratic programming active set method to find the optimal solution, and obtain the active power target values of all stations, specifically including:

S61, according to any of the following objective functions, determine the target power allocated by the i-th station at time t, wherein, i=1,...n, the objective function includes:

The objective function of the average distribution of the equivalent installed capacity of the station:

Among them, P _i,t is the target power allocated by the i-th station at time t, P _i,N is the equivalent installed capacity of the i-th station, C _i is the penalty coefficient, and when it is equal to 1, it is Normal distribution, when it is greater than 1, it is punishment distribution, when it is less than 1, it is reward distribution, n is the number of stations participating in the control;

The objective function of station power generation progress balance taking into account the average distribution of installed capacity:

Among them, P _i,t is the target power allocated by the i-th station at time t, P _i,N is the installed capacity of the i-th station, UH _i is the power generation time of the i-th station, UH _max is the maximum power generation time of all stations participating in the control, cpe is the power generation schedule equilibrium power index, n is the number of stations participating in the control,

The calculation method of cpe is as follows:

Among them, E _min is the minimum value allowed by the power generation schedule equilibrium power index item of the station with the smallest power generation time, UH _min is the minimum value of power generation time of all stations participating in the control, R _target is the station with the smallest power generation time and the power generation time The limit value of the ratio of the power generation schedule equilibrium power exponent of the largest station, R _min is the ratio of the minimum value of power generation time to the maximum power generation time of all stations participating in the control;

Assign the objective function according to the comprehensive sorting order of the station:

Among them, P _{i, t} is the target power allocated by the i-th station at time t, P _{max, N} is the maximum installed capacity of all stations participating in the control, seq _i is the comprehensive ranking of the i-th station number, seq _max is the maximum value of the integrated sequence numbers of all stations participating in the control, c _i is the scaling factor, and n is the number of stations participating in the control;

S62, when the target power allocated by the i-th station at time t meets the following constraint conditions, determine the target power allocated by the i-th station at time t as the active target value of the i-th station, wherein, Constraints include:

Top Section Equality Constraints:

The above formula is the constraint condition of the j-th section, where α _ij is whether the i-th station belongs to the j-th section, and when it is 0, it means that it does not belong to, and when it is 1, it means that it belongs to, and P _{i, t} is the The target power allocated by the i station at time t, P _{j, limit} is the output limit of the new energy station at the jth top section, and m is the number of sections;

Non-top section inequality constraints:

The above formula is the constraint condition of the j-th section, where α _ij is whether the i-th station belongs to the j-th section, and when it is 0, it means that it does not belong to, and when it is 1, it means that it belongs to, and P _{i, t} is the The target power allocated by the i station at time t, P _j,limit is the output limit of the new energy station at the jth lower section, and m is the number of sections;

Site constraints:

MAX(0,P _i -ΔP _i,dec )≤P _i,t ≤MIN(P _i,N ,P _i +ΔP _i,inc ),

The above formula is the constraint condition of the i-th station, where P _i is the current active power of the i-th station, ΔP _i,dec is the downward adjustment step size of the current active power distribution of the i-th station, ΔP _i,inc is the upward adjustment step size of the current active power distribution of the i-th station, P _i,t is the target power allocated by the i-th station at time t, and P _i,N is the installed capacity of the i-th station.

The beneficial effect of adopting the above-mentioned further scheme is: combined with the real-time operation data of the section and the station, considering the active power control algorithm of the new energy station under the constraint of the nested section, the power generation progress of the new energy station is balanced, and the equivalent installed capacity of the station is evenly distributed And one of the station comprehensive sort order distribution is the objective function, which takes into account the installed capacity and power generation capacity of new energy stations and the adjustment margin of each new energy section to solve the target value of active power distribution of new energy stations, ensuring the fairness of active power distribution and The power flow of the section does not exceed the limit, and on this basis, the maximum output of new energy is realized. It has strong practical value in the fine control of active power of complex nested sections of large-scale new energy.

Further, S2 specifically includes:

S21. The process of judging whether the actual output of the station is available includes: judging whether there are jumps and dead numbers according to the actual output of the station, and marking the corresponding station as a non-automatic control state when the judgment result is yes, and when the marked After the number of stations in the non-automatic control state reaches the percentage of system automatic control exit caused by station data abnormality, set the system to the non-automatic control state and form alarm data to insert into the real-time alarm queue;

S22. The process of judging whether the cross-section power flow is available includes: judging whether there are jumps and dead numbers according to the current value of the cross-section power flow, and if so, setting the system to a non-automatic control state and forming alarm data to be inserted into the real-time alarm queue;

S23. Calculate the sum of the actual output of all stations under the section determined based on the configuration of stations under the section to obtain the actual output of the new energy in the section.

The beneficial effect of adopting the above-mentioned further scheme is: when judging jumps and dead numbers 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 causes When the system automatically controls the exit percentage, the system is in an uncontrollable state, thereby generating alarm data. In other words, if there are no jumps and dead numbers, the actual output of the station is available.

When judging from the current value of the cross-section power flow that jumps and dead numbers occur, the system is in an uncontrollable state, thereby generating alarm data. In other words, if there are no jumps and dead numbers, the cross-section power flow is available.

That is to say, only when the actual output of the station and the power flow of the section are available, it is meaningful to determine the subsequent constraint conditions.

Further, the S3 specifically includes:

S31. Judging whether the current station is in the locked state, if so, execute S32, otherwise execute S33;

S32. Determine whether the actual output of the current station is greater than the difference between the last control target value and the adjustment dead zone, and if so, release the upper lock and execute S34;

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, perform upper locking;

S34. Judging whether the current station is in the downlock state, if so, execute S35, otherwise execute S36;

S35. Judging whether the actual output of the current station is less than the sum of the last control target value and the adjustment dead zone, if the lower lock is released, execute S31 until traversing the stations in the controllable station queue;

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, perform down-blocking, and proceed to S31 until traversing the stations in the queue of controllable stations.

The beneficial effect of adopting the above-mentioned further solution is: by determining the locked state of the middle station of the queue of controllable stations, preparations are made for the next step of eliminating uncontrollable stations.

Further, said S4 specifically includes:

S41. Traverse the stations in the controllable queue of the station, recalculate the upward adjustment step of the station according to the upper blocking state, and recalculate the downward adjustment step of the station according to the lower blocking state;

S42. Determine the upward adjustment limit of the station according to the upper locking state of the station, the actual output and the adjusted upward adjustment step;

S43. Determine the down-regulation limit of the station according to the down-blocking state of the station, the actual output and the adjusted step-down step;

S44. If the readjusted upward adjustment step and downward adjustment step of the current station are both zero, then the current station is eliminated.

The beneficial effect of adopting the above-mentioned further scheme is: based on the readjusted up-adjustment step size and down-adjustment step size, uncontrollable stations are further removed from the queue of controllable stations to ensure that active power control is carried out for effective controllable stations. Ensure the effectiveness of active work distribution.

Further, S43 is specifically: when the upper locking state is locked, the upward adjustment limit of the station is equal to the actual output, otherwise the upward adjustment limit is equal to the sum of the actual output of the station and the readjusted upward adjustment step;

S44 is specifically: when the current locking state is locked, the down-regulation limit of the station is equal to the actual output, otherwise the down-regulation limit is equal to the difference between the actual output of the station and the readjusted down-regulation step, and the down-regulation limit is less than zero time is zero.

Another technical solution of the present invention to solve the above technical problems is as follows: a new energy power generation active power control system considering nested section constraints, including: EMS energy management system, multiple new energy station AGC systems, servers and clients, in,

The EMS energy management system and multiple new energy station AGC systems are respectively connected to the server through the switch, and the server is connected to the client;

The EMS energy management system is used to collect real-time data of section tidal currents and actual output of stations, and upload them to the server;

The AGC system of the new energy station is used to collect the real-time operation data of the station and upload it to the server, and to control the active power of the station based on the data sent by the server;

The server is used to load the parameters of the system, section and station according to the acquired real-time data collected by the EMS energy management system and the AGC system of the new energy station, calculate the constraint conditions, and determine the active power target value of the station according to the constraint conditions Then send it to the AGC system of the new energy station;

The client is used to acquire relevant information from the server and display it.

Advantages of additional aspects of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.

Description of drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the accompanying drawings that need to be used in the embodiments of the present invention or in the description of the prior art. Obviously, the accompanying drawings described below are only illustrations of the present invention For some embodiments, those of ordinary skill in the art can also obtain other drawings based on these drawings without creative effort.

Fig. 1 is a schematic flowchart of a new energy generation active power control method considering nested section constraints provided by an embodiment of the present invention;

Fig. 2 is a schematic flowchart of a blockage detection process in a new energy generation active power control method considering nested section constraints shown in Fig. 1;

Fig. 3 is a schematic flow chart of determining station constraint conditions in a new energy generation active power control method considering nested section constraints shown in Fig. 1;

Fig. 4 is a schematic flow chart of determining section constraint conditions in a new energy generation active power control method considering nested section constraints shown in Fig. 1;

Fig. 5 is a schematic structural block diagram of a new energy generation active power control system considering nested section constraints provided by an embodiment of the present invention;

Fig. 6 is a schematic structural block diagram of a server in a new energy generation active power control system considering nested section constraints shown in Fig. 5;

FIG. 7 is a schematic structural block diagram of a data processing module in the server shown in FIG. 6 .

Detailed ways

The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

As shown in Figure 1, a new energy generation active power control method considering nested section constraints includes the following steps:

S1. Obtain active power control system parameters, real-time data of new energy section constraints, real-time data of new energy station constraints, and station configuration under the section.

Among them, the real-time data of new energy station constraints include: the actual output of the station and the last control target value. Active power control system parameters include: adjustment dead zone and station data abnormality cause system automatic control exit percentage. The real-time data of the new energy section constraints include: the current value of the section tidal current and the limit value of the section.

S2. According to the actual output and station data abnormality, the system automatically controls the withdrawal percentage, judges whether the actual output of the station is available, and judges whether the section tidal current is available according to the current value of the section tidal current. At the same time, according to the actual output of the station and the current value of the section The station configuration calculates the actual output of new energy in the section.

S3. When the actual output of the station and the flow of the section are available, the blocking detection is carried out. Specifically, the blocking state of the current station is judged according to the last control target value of the current station, the actual output and the adjustment dead zone, until the cross section is traversed All stations under the section determined by the station configuration below.

S4. Determine the station constraint conditions according to the locked state of all stations, and eliminate uncontrollable stations. The station constraint conditions include: the re-determined upward adjustment step length, downward adjustment step length, and upper adjustment limit and lower adjustment limit of all stations. value.

S5. According to the section structure, section limit, section new energy actual output and the upper and lower limits of all stations, determine the section constraint conditions, section constraint conditions include: section upward adjustment limit, section downward adjustment limit.

S6. Determine active power target values of all stations according to station constraint conditions and section constraint conditions.

Specifically, in this embodiment, S2 specifically includes:

S21. The process of judging whether the actual output of the station is available includes: judging whether there are jumps and dead numbers according to the actual output of the station, and marking the corresponding station as a non-automatic control state when the judgment result is yes, and marking it as After the number of stations in the non-automatic control state reaches the percentage of system automatic control exit due to station data abnormality, the system is set to the non-automatic control state and the alarm data is formed and inserted into the real-time alarm queue.

S22. The process of judging whether the cross-section power flow is available includes: judging whether there are jumps and dead numbers according to the current value of the cross-section power flow, and if so, setting the system to a non-automatic control state and forming alarm data to be inserted into the real-time alarm queue.

S23. Calculate the sum of the actual output of all stations under the section determined based on the configuration of stations under the section to obtain the actual output of new energy in the section.

That is to say, when the number of jumps and deaths occurs according to the actual output of the station, the corresponding station will be marked as an uncontrollable state, and when the number of uncontrollable stations reaches the percentage of the system’s automatic control exit due to the abnormal data of the station When , the system is in an uncontrollable state, thus generating alarm data. In other words, if there are no jumps and dead numbers, the actual output of the station is available.

When judging from the current value of the cross-section power flow that jumps and dead numbers occur, the system is in an uncontrollable state, thereby generating alarm data. In other words, if there are no jumps and dead numbers, the cross-section power flow is available. Only when the actual output of the station and the flow of the section are available can the subsequent process of determining the constraints be carried out.

In addition, the real-time data of new energy station constraints can also include: installed capacity, upward adjustment step size, downward adjustment step size, up-blocking state, and down-blocking state. Active power control system parameters can also include: system automatic control flag, control period. The real-time data of new energy section constraints can also include section types. It should be noted that the step-up step and step-down step here include those initially set and those re-determined during the last process of allocating target values.

Optionally, in one embodiment, the real-time data of new energy station constraints also includes: station automatic control flag, then S1 also includes:

S11. According to the station automatic control sign, divide the new energy station into a controllable station queue and an uncontrollable station queue.

Then in S2, it is specifically: according to the actual output and the percentage of system automatic control exit caused by the abnormal data of the station, it is judged whether the actual output of the controllable station queue is available, and at the same time, according to the actual output of the controllable station queue. and the station configuration under the section to calculate the actual output of new energy in the section.

That is to say, in the initial state, the division of controllable and uncontrollable stations is dominated by station automatic control signs, but in the actual operation process, there may be uncontrollable stations in the initial controllable station queue, In order to ensure the fairness and effectiveness of the final distribution, it is necessary to eliminate the uncontrollable stations and ensure that only the active power distribution is made to the participating controllable stations.

Optionally, in another embodiment, the new energy section constraint real-time data also includes: section adjustment flag, section number of the superior section, then S1 also includes:

S12. According to the station configuration under the section, load all the stations included in the section from the queue of controllable stations.

S13. Traversing the section after the loading is completed, judging whether there is a controllable station under the section, if not, marking the current section as a non-automatic adjustment state.

S14. According to the section adjustment flag, the section in the non-automatic adjustment state is eliminated, and then the superior section is reorganized.

Specifically, in this embodiment, step S14 specifically includes:

S141. The loading section forms a nested section structure.

S142. Traversing the sections in the automatic adjustment state, when the upper-level section is in the non-automatic adjustment state, continue to search the upper-level section of the upper-level section until the upper-level section in the automatic state is searched.

S143. Set the upper-level section of the current section as the searched section. If no upper-level section in the automatic adjustment state is found, the current section is the top-level section.

S144, forming a section structure of a tree structure based on each top-level section and lower-level sections.

In the technical solution of the above-mentioned embodiment, by loading all the stations contained under the section from the queue of controllable stations, and judging that there are no controllable stations under the section, the sections are marked as non-automatically adjusted, and then the non-automatic After the adjusted section is eliminated, the superior section can be reorganized, so that the section structure can be simplified, and an effective section nesting structure can be obtained, which provides convenience for subsequent calculations.

Optionally, in another embodiment, as shown in FIG. 2, step S3 specifically includes:

S31 , judging whether the current station is in an uplocked state, if so, execute S32 , otherwise execute S33 .

S32. Determine whether the actual output of the current station is greater than the difference between the last control target value and the adjustment dead zone, and if so, release the upper lock and execute S34.

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, perform upper locking.

S34. Judging whether the current station is in the down-blocking state, if so, execute S35, otherwise, execute S36.

S35. Judging whether the actual output of the current station is less than the sum of the last control target value and the adjustment dead zone, and if so, release the lower lock, and execute S31 until traversing the stations in the queue of controllable stations.

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, perform a lower block, and proceed to S31 until the stations in the queue of controllable stations are traversed.

Step S4 specifically includes:

S41. Traverse the stations in the controllable queue of the station, recalculate the upward adjustment step of the station according to the upper locking state, and adjust the upward adjustment step to zero when the upper locking is on, and recalculate the lower adjustment step of the station according to the lower locking state .

S42. Determine the upward adjustment limit of the station according to the uplock state of the station, the actual output and the adjusted upward adjustment step. Specifically, when the upper locking state is locked, the upward adjustment limit of the station is equal to the actual output, otherwise the upward adjustment limit is equal to the sum of the actual output of the station and the readjusted upward adjustment step.

S43. Determine the down-regulation limit of the station according to the down-blocking state of the station, the actual output, and the adjusted down-regulation step. Specifically, when the lower locking state is locked, the down-regulation limit of the station is equal to the actual output, otherwise the down-regulation limit is equal to the difference between the actual output of the station and the re-adjusted down-regulation step, and when the down-regulation limit is less than zero to zero.

S44. If the readjusted upward adjustment step and downward adjustment step of the current station are both zero, then the current station is eliminated.

As shown in FIG. 3 , it is a schematic flow chart of determining station constraint conditions in an embodiment of the present invention. According to the judgment result of the locked state of the station, the up/down adjustment step of the station is recalculated, and the upward adjustment limit value and the downward adjustment limit value of the station are calculated, and uncontrollable stations are eliminated. Mainly according to the locking state in step S3, it is determined that the upward adjustment step of the current station is adjusted to zero when the upper locking is performed, that is, the upward adjustment is no longer performed. It is judged that the down-regulation step of the current station is adjusted to zero when the down-blocking is performed, that is, no down-regulation is performed. After the calculation is completed, if both the upward adjustment step and the downward adjustment step of the station are zero, then the current station will be eliminated, and this cycle will not participate in the adjustment.

Due to the complex nesting of section structures, there may be sub-sections in each section, and there are stations not included in the sub-sections, so recursive calls are used when calculating the upper and lower limits of a section, starting from the top section and starting from The bottom section is returned, and finally the upper and lower limits of all sections are obtained, and the process of obtaining the upper and lower limits of a certain section is shown in Figure 4. Step S5 specifically includes:

S51. Initialize the upward adjustment limit value and the downward adjustment limit value of the obtained section to 0, and the obtained section is any section in the tree structure.

S52. Traverse all the sub-sections under the requested section, and obtain the upper limit and lower limit of the sub-sections according to the recursive call.

S53. Add the obtained upper limit of the sub-section to the upper limit of the required section, and add the lower limit of the sub-section to the lower limit of the required section.

S54. After traversing all the sub-sections, calculate the sum of the upper limits and the sum of the lower limits of all stations not belonging to the sub-sections.

S55. Add the sum of the upper limits of all stations that do not belong to the sub-section to the upper limit of the required section, and add the sum of the lower limits to the lower limit of the required section to obtain the upper limit and lower limit of the required section respectively.

S56. According to the actual new energy output of the section, the limit value of the section and the tidal current of the section, calculate the output limit value of the new energy station of the required section. Specifically, the new energy output limit of the section = the actual new energy output of the section + the limit value of the section - the tidal current of the section.

S57. When the new energy output limit is less than the section down-regulation limit, the section up-regulation limit is corrected to be equal to the section down-regulation limit. When the output limit of the new energy station is less than the upward adjustment limit of the section and greater than the downward adjustment limit of the section, the upward adjustment limit of the revised section is equal to the output limit of the new energy station.

S58, repeatedly execute S51 to S57, and recursively calculate and complete all sections and sub-sections included in the tree structure.

Optionally, in one embodiment, step S6 is: according to the station constraints and section constraints, use the quadratic programming active set method to find the optimal solution, and obtain the active power target values of all stations, specifically including:

S61, according to any of the following objective functions, determine the target power allocated by the i-th station at time t, wherein, i=1,...n, the objective function includes: the average distribution objective function of the equivalent installed capacity of the station, the station The balance of power generation schedule takes into account the average distribution objective function of installed capacity, and the objective function is allocated according to the comprehensive sorting order of the stations. The details of each objective function are as follows:

The objective function of the average distribution of the equivalent installed capacity of the station:

Among them, P _i,t is the target power allocated by the i-th station at time t, P _i,N is the equivalent installed capacity of the i-th station, C _i is the penalty coefficient, and when it is equal to 1, it is Normal distribution, when it is greater than 1, it is punishment distribution, when it is less than 1, it is reward distribution, n is the number of stations participating in the control.

The objective function of station power generation progress balance taking into account the average distribution of installed capacity:

Among them, P _i,t is the target power allocated by the i-th station at time t, P _i,N is the installed capacity of the i-th station, UH _i is the power generation time of the i-th station, UH _max is the maximum power generation time of all stations participating in the control, cpe is the power generation schedule equilibrium power index, n is the number of stations participating in the control,

The calculation method of cpe is as follows:

Among them, E _min is the minimum value allowed by the power generation schedule equilibrium power index item of the station with the smallest power generation time, UH _min is the minimum value of power generation time of all stations participating in the control, R _target is the station with the smallest power generation time and the power generation time The limit value of the ratio of the power generation schedule equilibrium power exponent of the largest station, R _min is the ratio of the minimum value of power generation time to the maximum power generation time of all stations participating in the control.

Assign the objective function according to the comprehensive sorting order of the station:

Among them, P _{i, t} is the target power allocated by the i-th station at time t, P _{max, N} is the maximum installed capacity of all stations participating in the control, seq _i is the comprehensive ranking of the i-th station number, seq _max is the maximum value of the comprehensive sequence numbers of all stations participating in the control, ci _is the scaling factor, and n is the number of stations participating in the control.

That is to say, in this embodiment, the user can select one of the above three objective functions to solve according to the actual situation.

S62, when the target power allocated by the i-th station at time t meets the following constraint conditions, determine the target power allocated by the i-th station at time t as the active target value of the i-th station, wherein, Constraints include: top section equality constraints, non-top section equality constraints and station constraints. The specific constraints are as follows:

Top Section Equality Constraints:

The above formula is the constraint condition of the j-th section, where α _ij is whether the i-th station belongs to the j-th section, and when it is 0, it means that it does not belong to, and when it is 1, it means that it belongs to, and P _{i, t} is the The target power allocated by the i station at time t, P _j,limit is the output limit of the new energy station on the jth top section, m is the number of sections, j=1,...,m.

Non-top section inequality constraints:

The above formula is the constraint condition of the j-th section, where α _ij is whether the i-th station belongs to the j-th section, and when it is 0, it means that it does not belong to, and when it is 1, it means that it belongs to, and P _{i, t} is the The target power allocated by the i station at time t, P _j,limit is the output limit of the new energy station at the jth lower section, m is the number of sections, j=1,...,m.

Site constraints:

MAX(0,P _i -ΔP _i,dec )≤P _i,t ≤MIN(P _i,N ,P _i +ΔP _i,inc ),

The above formula is the constraint condition of the i-th station, where P _i is the current active power of the i-th station, ΔP _i,dec is the downward adjustment step size of the current active power distribution of the i-th station, ΔP _i,inc is the upward adjustment step size of the current active power distribution of the i-th station, P _i,t is the target power allocated by the i-th station at time t, and P _i,N is the installed capacity of the i-th station.

That is to say, according to the section nesting structure, when there is no sub-section under the top section, the optimal solution obtained is the active target value that satisfies both the constraints of the top section and the station constraints; when there are sub-sections under the top section, the obtained The optimal solution of is the active target value that simultaneously satisfies the constraints of the top section, the non-top section and the station constraints.

It should be understood that, in each embodiment of the present invention, the size of the sequence numbers of the above-mentioned processes does not mean the order of execution, and the execution order of each process should be determined by its function and internal logic, and should not be used in the implementation of the embodiments of the present invention. process constitutes any qualification.

The technical solution of a new energy generation active power control method considering nested section constraints provided by the embodiment of the present invention is described in detail above in conjunction with Figs. A technical solution for a new energy power generation active power control system considering nested section constraints.

As shown in Figure 5, a new energy generation active power control system considering nested section constraints includes: EMS energy management system 3, multiple new energy station AGC systems 1, server 2 and client 4. in,

The EMS energy management system 3 and multiple new energy station AGC systems 1 are respectively connected to the server 2 through a switch, and the server 2 is connected to the client 4 .

The EMS energy management system 3 is used to collect the real-time data of the section tidal current and the actual output of the station, and upload it to the server 2 .

The AGC system 1 of the new energy station is used to collect the real-time operation data of the station and upload it to the server 2, and to control the active power of the station based on the data sent by the server 2.

The server 2 is used to load the parameters of the system, section and station according to the acquired real-time data collected by the EMS energy management system 3 and the new energy station AGC system 1, calculate the constraint conditions, and determine the active power target value of the station according to the constraint conditions Then send it to the AGC system 1 of the new energy station.

The client 4 is used to obtain relevant information from the server 2 and display it.

It should be understood that, in the embodiment of the present invention, the new energy generation active power control system considering the nested section constraint according to the embodiment of the present invention may correspond to the new energy generation active power control method considering the nested section constraint according to the embodiment of the present invention The above-mentioned and other operations and/or functions of each module in the active power control system of new energy power generation considering the nested section constraint in the new energy power generation active power distribution are respectively in order to realize the corresponding methods of each method in Fig. 1 to Fig. 4 For the sake of brevity, the process will not be repeated 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 . in,

The data storage module 21 is used to receive and store the monitoring data of the system, section and station uploaded by each EMS energy management system 3 and the AGC system 1 of the new energy station.

The data reading module 22 is used to obtain the required data from the data storage module 21 according to the instruction of the data processing module 23 and transmit it to the data processing module 23 .

The data processing module 23 is used to obtain the real-time data collected by the EMS energy management system 3 and the new energy station AGC system 1, load the system, section, and station parameters, calculate the constraint conditions, and solve the active power target value of the station according to the constraint conditions, And the target value result is sent to the data storage module 21 via the data sending module 24 for storage.

The data output module 25 is used to obtain corresponding data from the data storage module 21 and transmit it to the client 4 according to the instruction sent by the client 4 .

The data sending module 24 is used to send 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 calculation unit 234 and a secondary Planning objective function solving calculation unit 235 . in,

The required parameters and real-time data reading unit 231 is used to read the parameters of the active power control system, including: control cycle, adjustment dead zone; read real-time data of new energy section constraints, including section power flow, section limit value, section type; read New energy station constraint real-time data, including the actual output of the station, the last control target value, installed capacity, upward adjustment step size, downward adjustment step size, up-lock status, down-lock status; read the station configuration under the section.

The station data preprocessing unit 232 is used to judge the up/down locking status of the station according to the last command of the station and the current actual output, combined with system parameters, and determine the upper and lower adjustment limits of the station according to the locking state, so as to achieve new energy purpose of maximizing output.

The section tree structure processing unit 233 is used to create the section in automatic control state and the station tree structure relationship according to the section configuration station, section status, and station status.

The constraint calculation unit 234 is used to determine the upward adjustment limit, the downward adjustment limit and the actual output limit of the station under the section layer by layer starting from the bottom section according to the tree structure relationship.

The quadratic programming objective function solving calculation unit 235 is used to obtain the optimal solution using the quadratic programming effective set method according to the equality constraints of the top section, the inequality constraints of the non-top sections, and the interval inequality constraints of the station.

In addition, the term "and/or" in this article is only an association relationship describing associated objects, which means that there may be three relationships, for example, A and/or B may mean: A exists alone, A and B exist at the same time, There are three cases of B alone. In addition, the character "/" in this article generally indicates that the contextual objects are an "or" relationship.

Those of ordinary skill in the art can realize that the units and algorithm steps of the examples described in conjunction with the embodiments disclosed herein can be implemented by electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the relationship between hardware and software Interchangeability. In the above description, the composition and steps of each example have been generally described according to their functions. Whether these functions are executed by hardware or software depends on the specific application and design constraints of the technical solution. Skilled artisans may use different methods to implement the described functions for each specific application, but such implementation should not be regarded as exceeding the scope of the present invention.

Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working process of the above-described system, device and unit can refer to the corresponding process in the foregoing method embodiment, and details are not repeated here.

In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods may be implemented in other ways. For example, the device embodiments described above are only illustrative. For example, the division of units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated. to another system, or some features may be ignored, or not implemented. In addition, the mutual coupling or direct coupling or communication connection shown or discussed may be indirect coupling or communication connection through some interfaces, devices or units, and may also be electrical, mechanical or other forms of connection.

A unit described as a separate component may or may not be physically separated, and a component displayed as a unit may or may not be a physical unit, that is, it may be located in one place, or may be distributed to multiple network units. Part 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, each functional unit in each embodiment of the present invention may be integrated into one processing unit, each unit may exist separately physically, or two or more units may be integrated into one unit. The above-mentioned integrated units can be implemented in the form of hardware or in the form of software functional units.

If the integrated unit is realized in the form of a software function unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of software products, and the computer software products are stored in a storage medium In, several instructions are included to make a computer device (which may be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the methods in various embodiments of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disk or optical disk and other media that can store program codes. .

The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of various equivalent modifications or modifications within the technical scope disclosed in the present invention. Replacement, these modifications or replacements shall all fall within the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims (9)

1. A new energy generation active power control method considering nested section constraints, characterized in that it comprises the following steps: S1. Obtain active power control system parameters, new energy section constraint real-time data, new energy station constraint real-time data and station configuration under the section, among which, new energy station constraint real-time data includes: the actual output of the station and the last control Target value, the active power control system parameters include: adjustment dead zone and station data abnormality cause system automatic control exit percentage, new energy section constraint real-time data includes: section current value and section limit value; S2. According to the actual output and station data abnormality, the system automatically controls the withdrawal percentage, judges whether the actual output of the station is available, and judges whether the section tidal current is available according to the current value of the section tidal current. At the same time, according to the actual output of the station and the current value of the section The station configuration calculates the actual output of new energy in the section; S3. When the actual output of the station and the flow of the section are available, determine the blocking state of the current station according to the last control target value, actual output and adjustment dead zone of the current station until the traversal All stations under the section determined by station configuration; S4. Determine the station constraint conditions and eliminate uncontrollable stations according to the blocking status of all the stations. The station constraint conditions include: the re-determined upward adjustment step, downward adjustment step, and upward adjustment of all the stations. Limits and lowered limits; S5. Determine the section constraint conditions according to the section structure, section limit, section new energy actual output and the upper and lower limits of all the stations, the section constraint conditions include: section upward adjustment limit, section downward adjustment limit; S6. Determine active power target values of all the stations according to the station constraint conditions and the section constraint conditions. 2. The new energy generation active power control method considering nested section constraints according to claim 1, characterized in that the new energy station constraint real-time data also includes: station automatic control flag, then S1 also includes: S11. According to the station automatic control sign, divide the new energy station into a controllable station queue and an uncontrollable station queue; Then in S2, it is specifically: according to the actual output and the abnormality of the station data, the system automatically controls the exit percentage, and judges whether the actual output of the controllable station queue is available. At the same time, according to the controllable station queue. The actual output of the station and the station configuration under the section are used to calculate the actual output of new energy in the section. 3. The active power control method for new energy power generation considering nested section constraints according to claim 2, characterized in that the real-time data of new energy section constraints also includes: section adjustment flags, section numbers of superior sections, and S1 also includes: S12. According to the station configuration under the section, load all the stations included under the section from the controllable station queue; S13. Traversing the section after loading is completed, judging whether there is a controllable station under the section, if not, marking the current section as a non-automatic state; S14. According to the cross-section adjustment flag, the cross-sections in the non-automatic state are eliminated and then the upper-level cross-sections are reorganized. 4. The new energy generation active power control method considering nested section constraints according to claim 3, characterized in that S14 specifically includes: S141. The loading section forms a nested section structure; S142. Traversing the sections in the automatic state, when the upper section is in the non-automatic state, continue to search the upper section of the upper section until the upper section in the automatic state is searched; S143. Set the upper-level section of the current section as the searched section, if no upper-level section in the automatic state is found, the current section is the top-level section; S144, forming a section structure of a tree structure based on each top-level section and lower-level sections. 5. The new energy generation active power control method considering nested section constraints according to claim 4, characterized in that S5 specifically includes: S51. Initialize the upward adjustment limit and the downward adjustment limit of the required section to 0, and the required section is any section in the tree structure; S52. Traverse all sub-sections under the requested section, and obtain the upper limit and lower limit of the sub-sections according to the recursive call; S53. Add the calculated upper limit of the sub-section to the upper limit of the required section, and add the lower limit of the sub-section to the lower limit of the required section; S54, after traversing all sub-sections, obtain the sum of upper limits and the sum of lower limits of all stations not belonging to sub-sections; S55. Add the sum of the upper limits of all stations that do not belong to the sub-section to the upper limit of the required section, and add the sum of the lower limits to the lower limit of the required section to obtain the upper limit and lower limit of the required section respectively; S56. According to the actual new energy output of the section, the section limit value and the section tidal current, calculate the new energy station output limit value of the required section; S57. When the output limit value of the new energy is less than the lower limit value of the section, the upper limit value of the corrected section is equal to the lower limit value of the section; when the output limit value of the new energy station is less than the upper limit value of the section and greater than the lower limit value of the section , the upward adjustment limit of the revised section is equal to the output limit of the new energy station; S58. Repeat steps S51 to S57, and recursively calculate all the sections and sub-sections included in the tree structure. 6. The active power control method for new energy power generation considering nested section constraints according to claim 5, characterized in that, said S6 is: according to station constraint conditions and section constraint conditions, use quadratic programming effective set method to obtain The optimal solution is to obtain the active target values of all stations, including: S61, according to any of the following objective functions, determine the target power allocated by the i-th station at time t, wherein, i=1,...n, the objective function includes: The objective function of the average distribution of the equivalent installed capacity of the station:

Among them, P _i,t is the target power allocated by the i-th station at time t, P _i,N is the equivalent installed capacity of the i-th station, C _i is the penalty coefficient, and when it is equal to 1, it is Normal distribution, when it is greater than 1, it is punishment distribution, when it is less than 1, it is reward distribution, n is the number of stations participating in the control; The objective function of station power generation progress balance taking into account the average distribution of installed capacity:

Among them, P _i,t is the target power allocated by the i-th station at time t, P _i,N is the equivalent installed capacity of the i-th station, UH _i is the power generation time of the i-th station, UH _max is the maximum power generation time of all stations participating in the control, cpe is the power generation schedule equilibrium power index, n is the number of stations participating in the control, The calculation method of cpe is as follows:

Among them, E _min is the minimum value allowed by the power generation schedule equilibrium power index item of the station with the smallest power generation time, UH _min is the minimum value of power generation time of all stations participating in the control, R _target is the station with the smallest power generation time and the power generation time The limit value of the ratio of the power generation schedule equilibrium power exponent of the largest station, R _min is the ratio of the minimum value of power generation time to the maximum power generation time of all stations participating in the control; Assign the objective function according to the comprehensive sorting order of the station:

Among them, P _i,t is the target power allocated by the i-th station at time t, P _max,N is the maximum installed capacity of all stations participating in the control, seq _i is the comprehensive ranking of the i-th station number, seq _max is the maximum value of the integrated sequence numbers of all stations participating in the control, c _i is the scaling factor, and n is the number of stations participating in the control; S62, when the target power allocated by the i-th station at time t meets the following constraint conditions, determine the target power allocated by the i-th station at time t as the active target value of the i-th station, wherein, Constraints include: Top Section Equality Constraints:

The above formula is the constraint condition of the j-th section, where α _ij is whether the i-th station belongs to the j-th section, and when it is 0, it means that it does not belong to, and when it is 1, it means that it belongs to, and P _{i, t} is the The target power allocated by the i station at time t, P _j,limit is the output limit of the new energy station at the jth top section, m is the number of sections, j=1,...,m; Non-top section inequality constraints:

The above formula is the constraint condition of the j-th section, where α _ij is whether the i-th station belongs to the j-th section, and when it is 0, it means that it does not belong to, and when it is 1, it means that it belongs to, and P _{i, t} is the The target power allocated by the i station at time t, P _j,limit is the output limit of the new energy station at the jth lower section, m is the number of sections, j=1,...,m; Site constraints: MAX(0,P _i -ΔP _i,dec )≤P _i,t ≤MIN(P _i,N ,P _i +ΔP _i,inc ), The above formula is the constraint condition of the i-th station, where P _i is the current active power of the i-th station, ΔP _i,dec is the downward adjustment step size of the current active power distribution of the i-th station, ΔP _i,inc is the upward adjustment step size of the current active power distribution of the i-th station, P _i,t is the target power allocated by the i-th station at time t, and P _i,N is the equivalent installed capacity of the i-th station. 7. The new energy generation active power control method considering nested section constraints according to any one of claims 1-6, characterized in that S2 specifically includes: S21. The process of judging whether the actual output of the station is available includes: judging whether there are jumps and dead numbers according to the actual output of the station, and marking the corresponding station as a non-automatic control state when the judgment result is yes, and marking it as After the number of stations in the non-automatic control state reaches the percentage of system automatic control exit due to station data abnormality, set the system to the non-automatic control state and form alarm data and insert it into the real-time alarm queue; S22. The process of judging whether the cross-section power flow is available includes: judging whether there are jumps and dead numbers according to the current value of the cross-section power flow, and if so, setting the system to a non-automatic control state and forming alarm data to be inserted into the real-time alarm queue; S23. Calculate the sum of the actual output of all stations under the section determined based on the configuration of stations under the section to obtain the actual output of the new energy in the section. 8. The new energy power generation active power control method considering nested section constraints according to any one of claims 2-6, wherein said S3 specifically includes: S31. Judging whether the current station is in the locked state, if so, execute S32, otherwise execute S33; S32. Determine whether the actual output of the current station is greater than the difference between the last control target value and the adjustment dead zone, and if so, release the upper lock and execute S34; 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, perform upper locking; S34. Judging whether the current station is in the downlock state, if so, execute S35, otherwise execute S36; S35. Judging whether the actual output of the current station is less than the sum of the last control target value and the adjustment dead zone, if the lower lock is released, execute S31 until traversing the stations in the controllable station queue; 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, perform down-blocking, and proceed to S31 until traversing the stations in the queue of controllable stations. 9. The new energy generation active power control method considering nested section constraints according to any one of claims 2-6, characterized in that the S4 specifically includes: S41. Traverse the stations in the controllable queue of the station, recalculate the upward adjustment step of the station according to the upper blocking state, and recalculate the downward adjustment step of the station according to the lower blocking state; S42. Determine the upward adjustment limit of the station according to the upper locking state of the station, the actual output and the adjusted upward adjustment step. Specifically, when the upper locking state is locked, the upper adjustment limit of the station is equal to the actual output, otherwise The upward adjustment limit is equal to the sum of the actual output of the station and the readjusted upward adjustment step; S43. Determine the down-regulation limit of the station according to the down-blocking state of the station, the actual output and the adjusted step-down step. Specifically, when the down-blocking state is locked, the down-regulation limit of the station is equal to the actual output, otherwise down-regulation The limit value is equal to the difference between the actual output of the station and the readjusted down step, and is zero when the down limit is less than zero; S44. If the readjusted upward adjustment step and downward adjustment step of the current station are both zero, then the current station is eliminated.

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