CN111047115A - Regional power grid recovery control optimization decision method, system and storage medium - Google Patents
Regional power grid recovery control optimization decision method, system and storage medium Download PDFInfo
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Abstract
The invention discloses a regional power grid recovery control optimization decision method, a system and a storage medium, wherein the method comprises the following steps: acquiring a power grid to be restored; acquiring the accident type according to the power grid to be recovered; acquiring different optimization strategies according to the accident type; the method is safe and economical, and effectively improves the power failure defense capability of the regional power grid and the power protection and supply capability of important loads.
Description
Technical Field
The invention relates to a regional power grid restoration control optimization decision method, a system and a storage medium, and belongs to the technical field of power system restoration.
Background
In recent years, power failure accidents occur frequently worldwide due to network attacks, natural disasters, power grid equipment failures, severe weather and the like. The practical operation of domestic and foreign power systems is fully explained, the new equipment and the new technology cannot fundamentally avoid the occurrence of major power failure accidents, and the frequency of the occurrence of the major power failure accidents is more frequent and the influence is worse along with the enlargement of the scale of the power systems.
At present, power grid restoration after power failure is supported only by an offline restoration plan based on a typical scene, and due to the fact that the power failure reason and the scene are complex, and great uncertainty exists in the power grid major power failure evolution process, the offline restoration plan is often difficult to receive expected effects during actual restoration. The problems of wrong recovery decision of a dispatcher, secondary power failure in the power grid recovery process, slow important load recovery progress, low power grid resource utilization efficiency and the like are very prominent, and the problems have serious influence on social stability and economic development. Therefore, a supporting system with an online decision recovery function needs to be researched, so that auxiliary decision support for recovery control of a power supply company is provided, the power failure loss of a user is reduced, and the quick recovery of important loads is ensured.
Disclosure of Invention
Aiming at the defects of the prior art, the invention aims to provide a regional power grid restoration control optimization decision method, a system and a storage medium, so as to solve the problem of poor restoration effect in the prior art.
The problems that an offline recovery plan cannot deal with uncertainty, manual decision errors and the like in the regional power grid recovery process are solved.
In order to achieve the purpose, the invention is realized by the following technical method:
a regional power grid restoration control optimization decision method, the method comprising:
determining the accident type of the power grid;
calculating and generating an optimization strategy corresponding to the accident type according to the accident type and the data of the accident occurrence station;
and recovering the operation of the power grid according to the optimization strategy.
Further, the accident type comprises a load station accident and a power station accident; the optimization strategies comprise load station optimization strategies and power generation station optimization strategies.
Further, the load station accident comprises an energy storage power station to be restored in a charging state.
Further, the power generation station accident comprises a power station to be recovered in a discharge state.
Further, the generation process of the load station optimization strategy comprises:
acquiring a load branch accessed by a load station to be recovered;
calculating the ratio of the total active power of the load branch of each load station to be recovered to the recovery time;
acquiring a preliminary load station optimization strategy of each load station according to the ratio and the constraint conditions;
calculating the performance index of a primary load station optimization strategy according to the priority of the load branch, the recovery time and the success;
and taking the preliminary optimization strategy with the maximum performance index as a load station optimization strategy.
Further, the total active power of the load branches is the sum of predicted load values of each load branch to be restored at the restoration ending time.
Further, the method for calculating the performance index of the preliminary load station optimization strategy comprises the following steps:
Rl.i＝∑i0∈I(rl.i.i0Pl.i.i0)(tl.k.max-tl.k.i)i∈RL (1)
tl.k.max＝max(tl.k.i,i∈RL)，
in the formula, RL is the load station which obtains the primary load station optimization strategy in the set of load stations to be recovered, Rl.iPerformance index of the load station I primary load station optimization strategy in RL, I is a set formed by load branches in the load station I primary load station optimization strategy, rl.i.i0For a weight coefficient, P, set according to the priority of the load branch I0 in Il.i.i0The predicted load value t of I0 at the end of recovery in Il.k.iRecovery time, t, for implementing a preliminary load station optimization strategy for load station i in the RL for the kth stage of recovery controll.k.maxThe preliminary load station optimization strategy for each load station in the RL is implemented for the kth stage of recovery control to optimize the maximum value in the time to recovery.
Further, the generating process of the power generation station optimization strategy comprises:
acquiring a unit and/or a new energy collection feeder in a power generation station to be recovered;
calculating the ratio of the total active power and the recovery time of the unit and/or the new energy collection feeder of each power generation station;
obtaining a primary power generation station optimization strategy of each power generation station according to the ratio and the constraint conditions;
calculating the performance index of a preliminary power generation station optimization strategy according to the priority, the recovery time and the active power of the power generation station;
and taking the preliminary optimization strategy with the maximum performance index as a power generation station optimization strategy.
Further, the total active power of the conventional units is the sum of the maximum active power output values of the conventional units to be recovered at the recovery ending time; and the total active power of the new energy power collection feeder line is the sum of active predicted values of all new energy power collection feeder lines to be restored at the restoration ending moment.
Further, the method for calculating the performance index of the preliminary power plant optimization strategy comprises the following steps:
Rg.j＝∑j0∈J(rg.j.j0Pg.j.j0)(tg.k.max-tg.k.j)j∈RG (2)
tg.k.max＝max(tg.k.j,j∈RG)，
in the formula, RG is the power station that obtains the primary power station optimization strategy in the power station set to be recovered, Rg.jThe performance index of the optimization strategy of the primary generating field station of the generating field station J conventional machine set or the new energy power collection feeder line in the RG, the J is the set formed by the conventional machine set or the new energy power collection feeder line in the optimization strategy of the primary generating field station of the generating field station J conventional machine set or the new energy power collection feeder line, and r is the set formed by the conventional machine set or the new energy power collection feeder line in the optimization strategy of thel.j.j0For the weight coefficient set according to the priority of the conventional unit or the new energy power collection feeder J0 in J, for the conventional unit, Pg.j.j0For the maximum value of the active power output of J0 in J at the recovery end time, P is the maximum value of the new energy collection feederg.j.j0The real predicted value of J0 in J at the end time of recovery, tg.k.jImplementing the recovery time, t, of the optimization strategy of the primary generating station of the generating station j conventional machine set or the new energy collecting feeder line in the RG for the k-th stage of recovery controlg.k.maxAnd implementing the maximum value in the recovery time of the preliminary power station optimization strategy of each power station conventional unit or new energy power collection feeder line in the RG for the kth stage of recovery control.
A regional power grid restoration control optimization decision system, the system comprising:
an identification determination module: the method comprises the steps of determining the accident type of the power grid;
a calculation module: the optimization strategy is used for calculating and generating an optimization strategy corresponding to the accident type according to the accident type and the data of the accident occurrence station;
a recovery module: and the system is used for recovering the operation of the power grid according to the optimization strategy.
A regional power grid restoration control optimization decision system, the system comprising a processor and a storage medium;
the storage medium is used for storing instructions;
the processor is configured to operate in accordance with the instructions to perform the steps of the method according to any of the above.
Computer-readable storage medium, on which a computer program is stored, characterized in that the program realizes the steps of the above-described method when executed by a processor.
Compared with the prior art, the invention has the following beneficial effects:
the existing power grid recovery strategy needs to preset a recovery plan according to the scene of a typical accident occurrence station, when an accident occurs to a power grid, a dispatcher needs to look up a table according to the accident type to obtain the preset recovery plan close to the accident occurrence station, and because the running state of the power grid can not be completely matched with the plan when the accident occurs, the process is easy to cause the error of recovery decision due to the error of judgment of the dispatcher; according to the method, the optimization strategy corresponding to the accident type is obtained through real-time calculation according to the accident type and the data of the accident occurrence station, and due to the power failure reason and the complexity of the accident occurrence scene, each accident type can generate a corresponding accident recovery strategy due to the difference of the accident occurrence station and the occurrence time through the online calculation method, so that the accuracy and the efficiency of the recovery decision are improved.
Drawings
FIG. 1 is a flow chart of an embodiment of the present invention.
Detailed Description
The invention is further described below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
A regional power grid restoration control optimization decision method, the method comprising:
determining the accident type of the power grid;
calculating and generating an optimization strategy corresponding to the accident type according to the accident type and the data of the accident occurrence station;
and recovering the operation of the power grid according to the optimization strategy.
As shown in fig. 1, the specific process of the regional power grid restoration control optimization decision method is as follows:
step 1: recording the running states of regional power grids before and after power failure as S0And SfBy comparison of S0And SfGenerating a load station set L to which the load branch to be recovered after power failure is accessed, a power generation station set G to which the conventional unit to be recovered after operation is quitted or the new energy power collection feeder is accessed, a power transmission and distribution equipment set D to which the power transmission and distribution equipment set to be recovered after operation is quitted, and a power generation station set Ll to be recovered in L and a power generation station set Gg to which the conventional unit to be recovered or the new energy power collection feeder is in the station corresponding to each power generation station in the power failure to be recovered branch set L and D corresponding to each power generation station in L, and entering step 2);
wherein for regional grid intrinsic S0The energy storage power station which is in a commissioning state and is to be recovered after power failure is started, and when the energy storage power station is in the S state0When it is in the charging state, it is added as a load station to L, and the process is the same as that of the other load stations, when it is in S0When the lower part is in a discharging state, the lower part is taken as a power generation station and added into G, and the same treatment is carried out as that of a conventional unit of other power generation stations;
step 2: let the starting time of the recovery control be t0Let the phase sequence number of the recovery control be k, and the recovery time of the kth phase of the recovery control be tkThe state of operation of the regional power grid corresponding to the kth stage of the recovery control is marked as SkAnd let k have an initial value of 1, and let SfRegional grid operating state S as a restoration control stage 11Entering step 3);
and step 3: if L is not null, first, based on SkRespectively aiming at each load station in L, taking the maximum ratio of the total active power of the load branch circuit recovered in the corresponding Ll to the corresponding recovery time as an optimization target, and considering the operation of the equipment in D and SkThe flow adjustment of other next commissioning equipment is generated to be recovered with higher priority of the load branchThe safety check result of the recovery process meets the primary load station optimization strategy which is constrained by the requirements of regional power grid dispatching operation regulations, then a set formed by load stations capable of obtaining the primary load station optimization strategy in the L is recorded as RL, the regional power grid operation state corresponding to the primary load station optimization strategy of each load station in the RL is recorded, and the step 4) is carried out, otherwise, the step 5) is carried out;
under the condition that the commissioning equipment in the step D is the same, the recovery time of each power failure to-be-recovered load branch accessed to the same load station is processed in the same way, and a plurality of power failure to-be-recovered load branches accessed to the same load station can be recovered at the same time, wherein the total active power of the recovered load branches means that each recovered load branch is at the recovery ending time
Is calculated from the load predicted values of (a), wherein tmControlling the recovery time of the mth stage for recovery, tlThe recovery time corresponding to the total active power recovery of the load branch;
the safety check of the recovery process comprises overvoltage, equipment overload, voltage stabilization and the like.
And 4, step 4: if the RL is not empty, firstly, calculating the performance index of the primary load station optimization strategy of each load station in the RL according to the priority, the recovery time and the active power of each load branch in the primary load station optimization strategy in the RL, and then taking the primary load station optimization strategy corresponding to the load station with the largest performance index in the RL as the recovery strategy R for recovering and controlling the kth stagekR is to bekCorresponding recovery time as tkR is to bekThe device recovering operation is removed from D and R is removedkThe load branch circuit which is recovered to run is removed from the Ll corresponding to the load station, when the Ll corresponding to the load station is an empty set, the load station is removed from the L, and finally, R is removedkThe corresponding regional power grid running state is taken as Sk+1Making k equal to k +1, returning to the step 3), otherwise, entering the step 5);
wherein, the performance index of the preliminary load station optimization strategy is calculated by a formula (1),
Rl.i＝∑i0∈I(rl.i.i0Pl.i.i0)(tl.k.max-tl.k.i)i∈RL (1)
in the formula, Rl.iPerformance index of the load station I primary load station optimization strategy in RL, I is a set formed by load branches in the load station I primary load station optimization strategy, rl.i.i0For a weight coefficient, P, set according to the priority of the load branch I0 in Il.i.i0The predicted load value t of I0 at the end of recovery in Il.k.iRecovery time, t, for implementing a preliminary load station optimization strategy for load station i in the RL for the kth stage of recovery controll.k.maxThe preliminary load station optimization strategy for each load station in the RL is implemented for the kth stage of recovery control to optimize the maximum value in the time to recovery.
In said RkIn the corresponding regional grid operating state, RkIn each load branch at Sk+1The active power and the reactive power are respectively the load predicted value at the recovery end moment and the load predicted value at S0The reactive power is calculated when the lower power factor is unchanged;
and 5: if G is not null, first, based on SkRespectively aiming at each power generation station in G, the maximum ratio of the total active power of the conventional unit or the new energy power collection feeder line recovered in the corresponding Gg to the corresponding recovery time is an optimization target, and the input of equipment in D and S are consideredkAdjusting the current of other next commissioning equipment, generating a power station conventional unit or new energy collector feeder line primary power station optimization strategy which meets the constraint of regional power grid scheduling operation regulation requirements by using a safety check result of a conventional unit or new energy collector line higher priority and higher priority in a recovery process, recording a set formed by power station stations capable of obtaining the conventional unit or new energy collector feeder line primary power station optimization strategy in G as RG, recording the regional power grid operation state corresponding to the conventional unit or new energy collector feeder line primary power station optimization strategy in the RG, and entering step 6), otherwise, entering step 7);
wherein, under the same condition of the commissioning device in D, the same transmission is accessedThe recovery time of each conventional unit to be recovered after power failure or each new energy power collection feeder of the electric field station is processed in the same way, and a plurality of conventional units to be recovered after power failure or new energy power collection feeders connected to the same power generation field station can be recovered at the same time, wherein the total activity of the recovered conventional units means that the recovered conventional units are recovered at the recovery finishing time
The total active power of the recovered new energy power collection feeder line refers to the sum of the maximum active power of the recovered new energy power collection feeder lines at the recovery ending moment
Is the sum of active predicted values of, wherein tgRecovery time, t, corresponding to the total active recovery of a conventional unitgnThe recovery time corresponding to the total active power recovery of the new energy power collection feeder line;
step 6: if the RG is not empty, firstly, calculating the performance index of the preliminary power generation station optimization strategy of each conventional generating set or new energy collection feeder line of each power generation station in the RG according to the priority, the recovery time and the active power of each conventional generating set or new energy collection feeder line in the preliminary power generation station optimization strategy of the power generation station in the RG, and then taking the conventional generating set or new energy collection feeder line preliminary power generation station optimization strategy corresponding to the power generation station with the maximum performance index in the RG as the recovery strategy R for controlling the kth stage to recoverkR is to bekCorresponding recovery time as tkR is to bekThe device recovering operation is removed from D and R is removedkRemoving the conventional unit or new energy collection feeder which is recovered to operate from the Gg corresponding to the power generation station, removing the power generation station from the G when the Gg corresponding to the power generation station is an empty set, and finally, removing the RkThe corresponding regional power grid running state is taken as Sk+1Making k equal to k +1, returning to the step 3), otherwise, entering the step 7);
wherein, the performance index of the optimization strategy of the power station of the conventional machine set of the power station or the new energy power collection feeder line preliminary power station is calculated by the formula (2),
Rg.j＝∑j0∈J(rg.j.j0Pg.j.j0)(tg.k.max-tg.k.j)j∈RG (2)
in the formula, Rg.jThe performance index of the optimization strategy of the primary generating field station of the generating field station J conventional machine set or the new energy power collection feeder line in the RG, the J is the set formed by the conventional machine set or the new energy power collection feeder line in the optimization strategy of the primary generating field station of the generating field station J conventional machine set or the new energy power collection feeder line, and r is the set formed by the conventional machine set or the new energy power collection feeder line in the optimization strategy of thel.j.j0For the weight coefficient set according to the priority of the conventional unit or the new energy power collection feeder J0 in J, for the conventional unit, Pg.j.j0For the maximum value of the active power output of J0 in J at the recovery end time, P is the maximum value of the new energy collection feederg.j.j0The real predicted value of J0 in J at the end time of recovery, tg.k.jImplementing the recovery time, t, of the optimization strategy of the primary generating station of the generating station j conventional machine set or the new energy collecting feeder line in the RG for the k-th stage of recovery controlg.k.maxAnd implementing the maximum value in the recovery time of the preliminary power station optimization strategy of each power station conventional unit or new energy power collection feeder line in the RG for the kth stage of recovery control.
In said RkIn the corresponding regional power grid operating state, R is the recovery of the conventional unit of the power stationkIn the conventional units Sk+1The lower active power is respectively the maximum value of the active power at the end moment of recovery, RkThe terminal voltage of each conventional unit is S0A voltage of lower; for restoration of new energy collection feeder of power generation station, RkIn S of each new energy collection feederk+1The lower active output is respectively the active predicted value at the recovery end moment, and the voltage of the corresponding new energy power generation station grid-connected point is S0A voltage of lower;
and 7: and if k is larger than 1, taking the obtained recovery strategy from the 1 st stage to the (k-1) th stage of recovery control as a regional power grid recovery control optimization decision result considering the load importance and the electric quantity, otherwise, considering that the regional power grid recovery control optimization decision result considering the load importance and the electric quantity cannot be obtained.
A regional power grid restoration control optimization decision system, the system comprising:
an identification determination module: the method comprises the steps of determining the accident type of the power grid;
a calculation module: the optimization strategy is used for calculating and generating an optimization strategy corresponding to the accident type according to the accident type and the data of the accident occurrence station;
a recovery module: and the system is used for recovering the operation of the power grid according to the optimization strategy.
A regional power grid restoration control optimization decision system, the system comprising a processor and a storage medium;
the storage medium is used for storing instructions;
the processor is configured to operate in accordance with the instructions to perform the steps of the method described above.
A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method described above.
The invention firstly generates a load branch recovery strategy of each load station and a recovery strategy of a conventional unit/new energy collection feeder line of each power generation station, which are constrained by the higher priority and the higher priority of the recovery and the safety check result of the recovery process meeting the dispatching operation control requirement, then, a load or power generation recovery strategy which is preferentially implemented step by step is selected based on the recovery control performance indexes which comprehensively consider the recovery priority and the recovery electric quantity, and a calculation strategy with the priority of load recovery is adopted to circularly generate a single-step recovery strategy of a load branch group or a conventional unit/new energy collection feeder group of the same station until the recovery is finished, so that the ordered, safe and quick recovery of the load branch, the conventional unit or the new energy collection feeder is realized, and the power supply reliability of a regional power grid is improved.
The regional power grid restoration control optimization decision method considering the priority and the electric quantity can provide a minute-level power grid online restoration control auxiliary decision scheme for a dispatcher, reasonably guides the load of the regional power grid under the power failure scene, and how to quickly, safely and economically restore the power generation, avoids the dilemma that the dispatcher can only rely on self experience to carry out restoration decision and operation, greatly reduces the workload and time consumption for manually making the restoration decision and the operation scheme, relieves the huge mental pressure of the dispatcher after the power failure accident, greatly reduces the power failure loss of the regional power grid under warfare and disasters, and effectively improves the power failure defense capability of the regional power grid and the power conservation and supply capability of important loads. Meanwhile, the invention can be effectively applied to disaster prevention practice at ordinary times, enriches the experience of dispatching personnel in dealing with extreme power failure accidents, and realizes imminent fear avoidance.
The invention provides a recovery strategy which is used for recovering the load preferentially, recovering the power generation under the condition that the load can not be recovered continuously and recovering the load continuously once the load recovery condition is met, and gives consideration to the recovery power and the recovery time in the load recovery and the power generation recovery, thereby realizing the quick recovery of the load, the coordination of the load recovery and the power generation recovery, improving the overall recovery efficiency, and overcoming the defects that the load recovery and the power generation recovery are lack of coordination and the difficulty in giving consideration to the recovery power and the recovery time in the prior art. The power failure loss of regional power grids under wars and disasters is greatly reduced, and the power failure defense capability of the regional power grids and the power protection and supply capability of important loads are effectively improved.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The present invention is not limited to the above embodiments, and any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention are included in the scope of the claims of the present invention which are filed as the application.
Claims (13)
1. A regional power grid restoration control optimization decision method is characterized by comprising the following steps:
determining the accident type of the power grid;
calculating and generating an optimization strategy corresponding to the accident type according to the accident type and the data of the accident occurrence station;
and recovering the operation of the power grid according to the optimization strategy.
2. The regional power grid restoration control optimization decision method according to claim 1, wherein the accident types comprise a load station accident and a power station accident; the optimization strategies comprise load station optimization strategies and power generation station optimization strategies.
3. The method as claimed in claim 2, wherein the load station accident comprises an energy storage power station to be recovered in a charging state.
4. The method as claimed in claim 2, wherein the power generation station accident comprises a power station to be recovered in a discharge state.
5. The method according to claim 2, wherein the generation process of the load station optimization strategy comprises:
acquiring a load branch accessed by a load station to be recovered;
calculating the ratio of the total active power of the load branch of each load station to be recovered to the recovery time;
acquiring a preliminary load station optimization strategy of each load station according to the ratio and the constraint conditions;
calculating the performance index of a primary load station optimization strategy according to the priority of the load branch, the recovery time and the success;
and taking the preliminary optimization strategy with the maximum performance index as a load station optimization strategy.
6. The method according to claim 5, wherein the total active power of the load branches is the sum of predicted load values of each load branch to be restored at the restoration end time.
7. The method for optimizing control and decision making for grid restoration of a regional area according to claim 5, wherein the method for calculating the performance index of the preliminary load station optimization strategy comprises:
Rl.i＝∑i0∈I(rl.i.i0Pl.i.i0)(tl.k.max-tl.k.i)i∈RL (1)
tl.k.max＝max(tl.k.i,i∈RL)，
in the formula, RL is the load station which obtains the primary load station optimization strategy in the set of load stations to be recovered, Rl.iPerformance index of the load station I primary load station optimization strategy in RL, I is a set formed by load branches in the load station I primary load station optimization strategy, rl.i.i0For a weight coefficient, P, set according to the priority of the load branch I0 in Il.i.i0The predicted load value t of I0 at the end of recovery in Il.k.iRecovery time, t, for implementing a preliminary load station optimization strategy for load station i in the RL for the kth stage of recovery controll.k.maxThe preliminary load station optimization strategy for each load station in the RL is implemented for the kth stage of recovery control to optimize the maximum value in the time to recovery.
8. The method according to claim 2, wherein the generation process of the power generation site optimization strategy comprises:
acquiring a unit and/or a new energy collection feeder in a power generation station to be recovered;
calculating the ratio of the total active power and the recovery time of the unit and/or the new energy collection feeder of each power generation station;
obtaining a primary power generation station optimization strategy of each power generation station according to the ratio and the constraint conditions;
calculating the performance index of a preliminary power generation station optimization strategy according to the priority, the recovery time and the active power of the power generation station;
and taking the preliminary optimization strategy with the maximum performance index as a power generation station optimization strategy.
9. The method according to claim 8, wherein the total active power of the conventional units is the sum of the maximum active power output values of the conventional units to be recovered at the recovery end time; and the total active power of the new energy power collection feeder line is the sum of active predicted values of all new energy power collection feeder lines to be restored at the restoration ending moment.
10. The method for optimizing control and decision making for recovery of regional power grids according to claim 8, wherein the method for calculating the performance index of the preliminary power plant optimization strategy comprises:
Rg.j＝∑j0∈J(rg.j.j0Pg.j.j0)(tg.k.max-tg.k.j)j∈RG (2)
tg.k.max＝max(tg.k.j,j∈RG)，
in the formula, RG is the power station that obtains the primary power station optimization strategy in the power station set to be recovered, Rg.jThe performance index of the optimization strategy of the primary generating field station of the generating field station J conventional machine set or the new energy power collection feeder line in the RG, the J is the set formed by the conventional machine set or the new energy power collection feeder line in the optimization strategy of the primary generating field station of the generating field station J conventional machine set or the new energy power collection feeder line, and r is the set formed by the conventional machine set or the new energy power collection feeder line in the optimization strategy of thel.j.j0For the weight coefficient set according to the priority of the conventional unit or the new energy power collection feeder J0 in J, for the conventional unit, Pg.j.j0For the maximum value of the active power output of J0 in J at the recovery end time, P is the maximum value of the new energy collection feederg.j.j0The real predicted value of J0 in J at the end time of recovery, tg.k.jImplementing the recovery time, t, of the optimization strategy of the primary generating station of the generating station j conventional machine set or the new energy collecting feeder line in the RG for the k-th stage of recovery controlg.k.maxAnd implementing the maximum value in the recovery time of the preliminary power station optimization strategy of each power station conventional unit or new energy power collection feeder line in the RG for the kth stage of recovery control.
11. A regional power grid restoration control optimization decision system, the system comprising:
an identification determination module: the method comprises the steps of determining the accident type of the power grid;
a calculation module: the optimization strategy is used for calculating and generating an optimization strategy corresponding to the accident type according to the accident type and the data of the accident occurrence station;
a recovery module: and the system is used for recovering the operation of the power grid according to the optimization strategy.
12. A regional power grid restoration control optimization decision system, the system comprising a processor and a storage medium;
the storage medium is used for storing instructions;
the processor is configured to operate in accordance with the instructions to perform the steps of the method according to any one of claims 1 to 10.
13. Computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 10.
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| CN112003277A (en) * | 2020-08-21 | 2020-11-27 | 山东大学 | Transmission and distribution cooperative load recovery optimization control method and system |
| CN114243896A (en) * | 2021-10-25 | 2022-03-25 | 国网江苏省电力有限公司苏州供电分公司 | Method and system for checking whole-process operation of remote control master station considering multidimensional information |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112003277A (en) * | 2020-08-21 | 2020-11-27 | 山东大学 | Transmission and distribution cooperative load recovery optimization control method and system |
| CN114243896A (en) * | 2021-10-25 | 2022-03-25 | 国网江苏省电力有限公司苏州供电分公司 | Method and system for checking whole-process operation of remote control master station considering multidimensional information |
| CN114243896B (en) * | 2021-10-25 | 2024-03-29 | 国网江苏省电力有限公司苏州供电分公司 | Remote control master station whole process operation checking method and system considering multidimensional information |
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