CN114285085A - Power grid elastic resource wide area scheduling method based on network reconstruction - Google Patents
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Abstract
The invention discloses a power grid elastic resource wide area scheduling method based on network reconstruction, which comprises the following steps: setting the state of a switch knife switch according to the acquired real-time remote signaling state, and carrying out basic network topology; determining the power supply partition condition of the power supply equipment and the communication condition with other power supply points with the same voltage class; calculating the load rate of the power grid equipment according to the current power flow distribution of the power grid and the operation limit value of the equipment, and analyzing the power grid equipment in a heavy load and out-of-limit state by combining a heavy overload threshold; and carrying out network reconstruction optimization according to the analysis result, and adjusting the operation mode of the power grid. According to the invention, the power flow distribution of the power grid is balanced through network reconstruction, and a fault-tolerant plan which can be executed by one key at a dispatching end is given through cooperative optimization with power generation and energy storage resources, so that the phenomena of heavy overload of the power grid and difficulty in meeting load transfer safety constraints are eliminated, and the problems of lack of power grid regulation means, high manual operation risk and low real-time responsiveness to dynamic loads are solved.
Description
Technical Field
The invention relates to the technical field of power grid dispatching, in particular to a power grid elastic resource wide area dispatching method based on network reconstruction.
Background
In recent years, a lot of blackout accidents with high loss and low probability occur globally, and the accidents highlight the insufficient elasticity and the weakness of the power grid. The power distribution network is an important component link of the power grid, and the elasticity of the power distribution network determines the quality of the elasticity of the power grid. The power distribution network is used as the final link for connecting electric energy from production to users, and safe and economic operation of the power distribution network is extremely important. The reconstruction of the power distribution network only needs to change the state of a contact switch or a section switch in the network, and can achieve the purposes of reducing network loss and improving reliability, economy and power supply benefits without increasing other investment, so that the reconstruction of the power distribution network is an important means for optimizing operation of the power distribution network, but along with the continuous increase of user-side multi-type loads in the urban power distribution network in the future, the peak load is increased obviously, the operation safety of the power distribution network is seriously influenced, and the simple reconstruction of the power distribution network cannot meet the operation requirement.
The research of the existing elastic power distribution network mainly focuses on the calculation and evaluation of the restoring force. The restoring force is improved mainly from the reinforcing point of view, and the restoring force of the elastic power distribution network is rarely improved from the resource allocation and network reconfiguration optimization method. Therefore, the problems that the load transfer safety constraint is difficult to meet, the power grid adjusting means is deficient, the manual operation running risk is high, and the real-time responsiveness to the dynamic load is low exist at present.
Disclosure of Invention
Aiming at the problems of poor safety and low real-time responsiveness in the prior art, the invention provides a power grid elastic resource wide-area scheduling method based on network reconstruction, which balances power grid tide distribution through network reconstruction, gives a scheduling end one-key executable fault-tolerant plan through cooperative optimization with power generation and energy storage resources, eliminates the phenomena of heavy overload of a power grid and difficulty in meeting load transfer safety constraints, and solves the problems of lack of power grid adjusting means, high manual operation running risk and low real-time responsiveness to dynamic loads.
The technical scheme of the invention is as follows.
A power grid elastic resource wide-area scheduling method based on network reconstruction comprises the following steps:
setting the state of a switch knife switch according to the acquired real-time remote signaling state, and carrying out basic network topology;
determining the power supply partition condition of the power supply equipment and the communication condition with other power supply points with the same voltage class;
calculating the load rate of the power grid equipment according to the current power flow distribution of the power grid and the operation limit value of the equipment, and analyzing the power grid equipment in a heavy load and out-of-limit state by combining a heavy overload threshold;
and carrying out network reconstruction optimization according to the analysis result, and adjusting the operation mode of the power grid.
According to the invention, the power flow distribution of the power grid is balanced through network reconstruction, and a fault-tolerant plan which can be executed by one key at a dispatching end is given through cooperative optimization with power generation and energy storage resources, so that the phenomena of heavy overload of the power grid and difficulty in meeting load transfer safety constraints are eliminated, and the problems of lack of power grid regulation means, high manual operation risk and low real-time responsiveness to dynamic loads are solved.
Preferably, the process of the basic network topology includes: performing network traversal by adopting a breadth-first search method, and sequentially performing: the merging connection points form topology nodes, and the merging topology nodes form topology islands.
Preferably, the determining the power supply partition condition of the power supply device includes: and determining specific power supply analysis equipment based on the latest network topology result, wherein the tracking of the power supply path spans the closed switch knife-switch, the live line and the main transformer equipment until the open switch knife-switch, the power supply range is searched by adopting width-first search according to the tide direction in the tracking process, and the searched equipment is marked as equipment in the power supply range. The power grid operation state analysis periodically analyzes and counts the current power supply equipment operation condition of the power grid, equipment operation safety risk and power grid adjustable resources in real time, and provides basic data for optimizing and adjusting the power grid operation.
Preferably, the heavy overload situations for which the network reconfiguration optimization is performed include main transformer heavy overload and line heavy overload of 220kV and 110kV, and the given load transfer switching sequence includes: 110kV line switch, 110kV bus coupler switch, main transformer side switches and 10kV bus branch switch. The network reconstruction optimization is based on the analysis result of the operation state of the power grid, the optimization scheme analysis is carried out on the operation equipment such as a main transformer and a line of the heavy overload of the power grid, the operation mode of the power grid is adjusted through the network reconstruction optimization, and the optimization target of eliminating the heavy overload of the power grid and the load balance of the power grid is achieved by combining active power regulation strategies such as flexible load, energy storage and virtual power plants.
Preferably, in the heavy overload condition, for heavy overload of a 110kV main transformer, the 10kV bus switch is operated to eliminate the overload; for the power supply condition of multiple main transformers in a 110kV transformer substation, the load sharing among the multiple main transformers is carried out by transferring the load carried by a 10kV bus through a bus coupler, and the out-of-limit condition is eliminated. The regional power grid is usually a radial power grid configured in a closed loop and operated in an open loop, and when the power flow exceeds the limit, the wiring mode of the power grid can be changed by searching a downstream bus of the limit-exceeding equipment, and the power flow is transferred to other power supply paths with capacity margin, so that the purposes of eliminating the limit-exceeding and supplying power continuously are achieved.
Preferably, in the heavy overload condition, for heavy overload of a 110kV line, the condition that serial supply exists between two or more 220kV transformer substations to the 110kV transformer substation is judged by combining the dynamic power supply partition range of a main transformer in a higher-level 220kV transformer substation; for a 220kV transformer substation series power supply mode, an open loop point of a series power supply path is searched through a breadth-first algorithm topology, and an interconnection switch between the downstream of an overload 110kV line and power supply paths of other 220kV transformer substations is determined on a power supply path of a 220kV transformer substation at the upper level of the overload 110kV line; selecting a sectionalizer to be exchanged at the upstream of an overload line by a branch exchange method, counting loads to be transferred, forming a plurality of alternative load transfer schemes for switching on a tie switch and switching off the sectionalizer, and performing feasibility analysis and screening through safety check to obtain a final transfer scheme;
if different 110kV main transformers belong to different 110kV line power supply subareas in a transformer substation which is powered by an out-of-limit 110kV line, the switching of power supply through a 110kV bus coupler or a 110kV communication line can be considered, or the problem of switching of power supply of the 110kV line is converted into the problem of switching of load of the 110kV main transformer, whether a 10kV bus coupler switching scheme is available or not is detected to transfer the load to other 110kV line power supply subareas, and in such a case, the 110kV line final switching scheme is a combination of the power supply main transformer switching schemes of the 110kV line;
for the double-circuit line power supply mode, if the double-circuit line is overloaded and needs to transfer a certain load, the double-circuit line is used as a control section to transfer simultaneously.
Preferably, in the heavy overload condition, for heavy overload of a 220kV main transformer, firstly, the main transformer overload limit and the size of a load to be transferred are calculated; secondly, searching a set of 110kV lines supplied by the 220kV main transformer station based on a topological result, sequencing the 110kV line sets supplied with power according to the size of the load to be transferred, selecting a proper 110kV line set to be transferred, transferring the lines to other 220kV main transformer power supply points for supplying power, wherein the final transfer scheme of the 220kV main transformer is a combination of the line transfer schemes;
for the serial supply condition of the two 220kV transformer substations to the 110kV transformer substation, a branch exchange method is adopted to search a transfer supply scheme; for the condition that different 110kV buses belong to different 110kV line power supply in a transformer substation powered by a 110kV line, if the 110kV line to be converted and a target 110kV line belong to different 220kV main transformer power supply subareas, searching a corresponding bus coupler switch conversion supply scheme for load transfer.
Preferably, in the heavy overload condition, for the heavy overload of the 220kV line, when the line is heavily overloaded, firstly, the 220kV substation supplied with power by the line is determined according to the power flow direction of the overloaded line, secondly, the load transfer analysis is performed on the 220kV main transformer in the substation, and the load of the 110kV substation in the power supply area is transferred to the power supply subareas of other 220kV substations to reduce the load of the overloaded 220kV line; at the moment, the final supply scheme of the 220kV line is a supply scheme combination of 220kV main transformers in the power supply substation.
For the regional power grid connection mode, when network reconfiguration is performed, a plurality of transfer branch circuits are generally available for loads to be transferred, so that a plurality of power grid optimized operation schemes can be generated. The method needs to be screened through safety check analysis, so that the out-of-limit of other equipment caused by transfer is avoided, in addition, a plurality of generated power grid optimized operation schemes can be compared through scheme evaluation indexes, such as the switching operation times, the load balance degree, the network loss rate and the like of the operation schemes, and finally, the optimal optimized operation scheme can be selected according to a multi-scheme comparison result.
Preferably, when the network reconfiguration cannot solve the safety risk of heavy overload of the power grid, the power generation and load active power optimization adjustment is carried out by carrying out adjustment margin analysis on the elastic resources of the power grid, so that the overload problem of the power grid is solved;
firstly, carrying out sensitivity analysis calculation of adjustable resources to overload equipment according to the safety analysis result of the heavily overloaded equipment of the power grid; secondly, based on the amount to be adjusted and the sensitivity of the overload equipment, combining the capacity margin of the adjustable resources, and selecting the adjusted resources by adopting a reverse equivalent pairing adjustment method so as to ensure the power balance of the system and the minimum adjustment amount and achieve the purpose of eliminating equipment out-of-limit;
the active power optimization adjustment aims at the minimum cost, the priority of the control measures is calculated, the control measures with the same priority determine the adjustment sequence according to the cost performance indexes of the control measures, and the aim of the minimum control cost is met.
The substantial effects of the invention include: the power flow distribution of the power grid is balanced through network reconstruction, a fault-tolerant plan which can be executed by one key at a dispatching end is given through cooperative optimization with power generation and energy storage resources, the phenomena that the power grid is heavily overloaded and the safety constraint of load transfer is difficult to meet are eliminated, and the problems that the power grid is deficient in adjusting means, high in manual operation risk and low in real-time responsiveness to dynamic load are solved.
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FIG. 1 is a schematic flow chart of an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions will be clearly and completely described below with reference to the embodiments, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be understood that, in various embodiments of the present invention, the sequence numbers of the processes do not mean the execution sequence, and the execution sequence of the processes should be determined by the functions and the internal logic of the processes, and should not constitute any limitation on the implementation process of the embodiments of the present invention.
It should be understood that in the present application, "comprising" and "having" and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The technical solution of the present invention will be described in detail below with specific examples. Embodiments may be combined with each other and some details of the same or similar concepts or processes may not be repeated in some embodiments.
Example (b):
a power grid elastic resource wide-area scheduling method based on network reconfiguration comprises the following steps as shown in figure 1:
setting the state of a switch knife switch according to the acquired real-time remote signaling state, and carrying out basic network topology;
determining the power supply partition condition of the power supply equipment and the communication condition with other power supply points with the same voltage class;
calculating the load rate of the power grid equipment according to the current power flow distribution of the power grid and the operation limit value of the equipment, and analyzing the power grid equipment in a heavy load and out-of-limit state by combining a heavy overload threshold;
and carrying out network reconstruction optimization according to the analysis result, and adjusting the operation mode of the power grid.
In the embodiment, the power flow distribution of the power grid is balanced through network reconstruction, and a fault-tolerant plan which can be executed by one key at a dispatching end is given through cooperative optimization with power generation and energy storage resources, so that the phenomena of heavy overload of the power grid and difficulty in meeting load transfer safety constraints are eliminated, and the problems of lack of power grid adjusting means, high manual operation risk and low real-time responsiveness to dynamic loads are solved.
Specifically, the basic network topology is based on a real-time power grid model, and the state of the switch disconnecting link is set according to the acquired real-time remote signaling state. The basic network topology adopts a breadth-first search method to perform network traversal, which is mainly divided into two processes: combining the connection points to form a topological node; merging the topological nodes to form a topological island.
The division of the power supply partitions is to determine specific power supply analysis equipment based on the latest current network topology result, and the tracking of the power supply path is to cross the closed switch knife-switch, the live line and the main transformer equipment until the disconnected switch knife-switch. In the tracking process, the power supply range is searched by adopting width-first search according to the tide direction, and the searched equipment is marked as equipment in the power supply range.
On the basis of topological analysis of the real-time running state of the current power grid, power supply range partitioning is carried out on 220kV and 110kV power grid analysis equipment, the power supply partition condition of the power supply equipment and the contact condition of the power supply equipment and other power supply points with the same voltage class are determined, and an analysis basis is provided for power grid network reconstruction optimization.
The heavy overload conditions aimed at by the network reconfiguration optimization comprise main transformer heavy overload and line heavy overload of 220kV and 110kV, and the given load transfer switching sequence comprises the following steps: 110kV line switch, 110kV bus coupler switch, main transformer side switches and 10kV bus branch switch. The network reconstruction optimization is based on the analysis result of the operation state of the power grid, the optimization scheme analysis is carried out on the operation equipment such as a main transformer and a line of the heavy overload of the power grid, the operation mode of the power grid is adjusted through the network reconstruction optimization, and the optimization target of eliminating the heavy overload of the power grid and the load balance of the power grid is achieved by combining active power regulation strategies such as flexible load, energy storage and virtual power plants.
In the heavy overload condition, for heavy overload of a 110kV main transformer, operating a 10kV bus branch switch to eliminate the overload; for the power supply condition of multiple main transformers in a 110kV transformer substation, the load sharing among the multiple main transformers is carried out by transferring the load carried by a 10kV bus through a bus coupler, and the out-of-limit condition is eliminated. The regional power grid is usually a radial power grid configured in a closed loop and operated in an open loop, and when the power flow exceeds the limit, the wiring mode of the power grid can be changed by searching a downstream bus of the limit-exceeding equipment, and the power flow is transferred to other power supply paths with capacity margin, so that the purposes of eliminating the limit-exceeding and supplying power continuously are achieved.
In the heavy overload condition, for the heavy overload of a 110kV line, the condition that the 110kV transformer substation is subjected to series power supply between two or more 220kV transformer substations is judged by combining the dynamic power supply partition range of a main transformer in a higher-level 220kV transformer substation; for a 220kV transformer substation series power supply mode, an open loop point of a series power supply path is searched through a breadth-first algorithm topology, and an interconnection switch between the downstream of an overload 110kV line and power supply paths of other 220kV transformer substations is determined on a power supply path of a 220kV transformer substation at the upper level of the overload 110kV line; selecting a sectionalizer to be exchanged at the upstream of an overload line by a branch exchange method, counting loads to be transferred, forming a plurality of alternative load transfer schemes for switching on a tie switch and switching off the sectionalizer, and performing feasibility analysis and screening through safety check to obtain a final transfer scheme;
if different 110kV main transformers belong to different 110kV line power supply subareas in a transformer substation which is powered by an out-of-limit 110kV line, the switching of power supply through a 110kV bus coupler or a 110kV communication line can be considered, or the problem of switching of power supply of the 110kV line is converted into the problem of switching of load of the 110kV main transformer, whether a 10kV bus coupler switching scheme is available or not is detected to transfer the load to other 110kV line power supply subareas, and in such a case, the 110kV line final switching scheme is a combination of the power supply main transformer switching schemes of the 110kV line;
for the double-circuit line power supply mode, if the double-circuit line is overloaded and needs to transfer a certain load, the double-circuit line is used as a control section to transfer simultaneously.
In the heavy overload condition, for the heavy overload of a 220kV main transformer, firstly, calculating the main transformer exceeding limit and the size of a load to be transferred; secondly, searching a set of 110kV lines supplied by the 220kV main transformer station based on a topological result, sequencing the 110kV line sets supplied with power according to the size of the load to be transferred, selecting a proper 110kV line set to be transferred, transferring the lines to other 220kV main transformer power supply points for supplying power, wherein the final transfer scheme of the 220kV main transformer is a combination of the line transfer schemes;
for the serial supply condition of the two 220kV transformer substations to the 110kV transformer substation, a branch exchange method is adopted to search a transfer supply scheme; for the condition that different 110kV buses belong to different 110kV line power supply in a transformer substation powered by a 110kV line, if the 110kV line to be converted and a target 110kV line belong to different 220kV main transformer power supply subareas, searching a corresponding bus coupler switch conversion supply scheme for load transfer.
In the heavy overload condition, for the heavy overload of a 220kV line, when the line is heavily overloaded, firstly, a 220kV transformer substation powered by the line is determined according to the power flow direction of the overloaded line, secondly, load transfer analysis is carried out on a 220kV main transformer in the transformer substation, and the load of a part of 110kV transformer substations in a power supply area is transferred to other 220kV transformer substation power supply subareas so as to reduce the load of the overloaded 220kV line; at the moment, the final supply scheme of the 220kV line is a supply scheme combination of 220kV main transformers in the power supply substation.
For the regional power grid connection mode, when network reconfiguration is performed, a plurality of transfer branch circuits are generally available for loads to be transferred, so that a plurality of power grid optimized operation schemes can be generated. The method needs to be screened through safety check analysis, so that the out-of-limit of other equipment caused by transfer is avoided, in addition, a plurality of generated power grid optimized operation schemes can be compared through scheme evaluation indexes, such as the switching operation times, the load balance degree, the network loss rate and the like of the operation schemes, and finally, the optimal optimized operation scheme can be selected according to a multi-scheme comparison result.
When the network reconstruction cannot solve the safety risk of heavy overload of the power grid, the power generation and load active power optimization adjustment is carried out by analyzing the adjustable margin of the elastic resources of the power grid, so that the overload problem of the power grid is solved;
performing active optimization adjustment, namely firstly performing sensitivity analysis calculation of adjustable resources on overload equipment according to the safety analysis result of the heavily overloaded equipment of the power grid; secondly, based on the amount to be adjusted and the sensitivity of the overload equipment, combining the capacity margin of the adjustable resources, and selecting the adjusted resources by adopting a reverse equivalent pairing adjustment method so as to ensure the power balance of the system and the minimum adjustment amount and achieve the purpose of eliminating equipment out-of-limit;
the active power optimization adjustment aims at the minimum cost, the priority of the control measures is calculated, the control measures with the same priority determine the adjustment sequence according to the cost performance indexes of the control measures, and the aim of the minimum control cost is met.
The operation optimization adjustment of the power grid calculates the size of the load to be transferred for the target out-of-limit equipment, analyzes the affected load information, and provides a transfer path of the affected load, so that the load can be reasonably transferred to other power supply sources, and meanwhile, the safety check of the power grid load flow is needed, and under the conditions of ensuring the stable operation of the power grid and eliminating the overload of the power grid, the generation of new out-of-limit of other equipment is avoided.
The network reconstruction of the power grid automatically searches the current network topological relation and real-time information of the system according to the power of the load to be transferred, searches the contact lines and the transferability of the load equipment to be transferred according to the topological relation, and searches all possible load transfer schemes, wherein the different transfer schemes have different influences on the load flow change of the equipment of the power grid. Based on sensitivity calculation and analysis, active adjustment of different adjustable flexible loads can also affect different power flow distributions of the power grid.
The safety check aiming at the optimization adjustment strategy is based on the current power grid operation mode section, the active power of the adjustable flexible load is executed and adjusted through simulating a switch disconnecting link control sequence, the power flow section in an expected mode is generated, the size of the load to be transferred is counted by combining a network topology function, a transferable power supply is searched, the capacity margin of a new power supply point is calculated, the power flow safety check is carried out, and a feasible power transfer scheme is selected. For the supply transfer scheme, the power flow check of the out-of-limit condition of the power grid equipment is carried out, and the out-of-limit of other power grid equipment is avoided.
The power grid operation optimization adjustment carries out power transfer strategy analysis aiming at heavily overloaded circuits and transformers, provides a power transfer detailed strategy, and a power transfer scheme comprises a power transfer path, a new power point condition, tidal current changes before and after power transfer, a tidal current transfer ratio and the like, and carries out statistics on power transfer load capacity, and specifically comprises the following steps:
a supply path: a sequence of switching operations is provided for operation during the transfer process.
New power point situation: and providing the conditions of a station, a line or a bus and the like of the power supply point to be converted.
Tidal current change before and after transfer: and providing the change condition of the power flow of the power grid before and after the power supply.
And (3) power flow transfer ratio: providing a power flow diversion situation of the out-of-limit equipment.
Transfer load capacity: and calculating the load flow of the transfer load.
Active power adjustment strategy: the active change condition of the flexible load can be adjusted.
The optimization scheme may simulate a handover strategy of the optimization analysis prior to execution.
Aiming at the optimization analysis scheme, the switch on-off operation of load transfer is simulated and executed, the power flow change of the power grid before and after transfer is checked, and whether the load transfer expectation is reached is checked.
The simulation of the optimization scheme firstly simulates the position of a switch sequence to be operated in a setting database and the adjustment condition of the flexible load, and then can check the power flow change condition of the power grid and the load transfer effect after the power grid is transferred.
Through the description of the above embodiments, those skilled in the art will understand that, for convenience and simplicity of description, only the division of the above functional modules is used as an example, and in practical applications, the above function distribution may be completed by different functional modules according to needs, that is, the internal structure of a specific device is divided into different functional modules to complete all or part of the above described functions.
In the embodiments provided in this application, it should be understood that the disclosed structures and methods may be implemented in other ways. For example, the above-described embodiments with respect to structures are merely illustrative, and for example, a module or a unit may be divided into only one logic function, and may have another division manner in actual implementation, for example, a plurality of units or components may be combined or may be integrated into another structure, or some features may be omitted or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, structures or units, and may be in an electrical, mechanical or other form.
Units described as separate parts may or may not be physically separate, and parts displayed as units may be one physical unit or a plurality of physical units, may be located in one place, or may be distributed to a plurality of different places. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a readable storage medium. Based on such understanding, the technical solutions of the embodiments of the present application may be essentially or partially contributed to by the prior art, or all or part of the technical solutions may be embodied in the form of a software product, where the software product is stored in a storage medium and includes several instructions to enable a device (which may be a single chip, a chip, or the like) or a processor (processor) to execute all or part of the steps of the methods of the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (9)
1. A power grid elastic resource wide-area scheduling method based on network reconstruction is characterized by comprising the following steps:
setting the state of a switch knife switch according to the acquired real-time remote signaling state, and carrying out basic network topology;
determining the power supply partition condition of the power supply equipment and the communication condition with other power supply points with the same voltage class;
calculating the load rate of the power grid equipment according to the current power flow distribution of the power grid and the operation limit value of the equipment, and analyzing the power grid equipment in a heavy load and out-of-limit state by combining a heavy overload threshold;
and carrying out network reconstruction optimization according to the analysis result, and adjusting the operation mode of the power grid.
2. The wide-area scheduling method for elastic resources of power grid based on network reconfiguration according to claim 1, wherein the process of the basic network topology includes: performing network traversal by adopting a breadth-first search method, and sequentially performing: the merging connection points form topology nodes, and the merging topology nodes form topology islands.
3. The method for wide-area scheduling of elastic resources of power grid based on network reconfiguration according to claim 1, wherein the determining of power supply partition conditions of power supply equipment includes: and determining specific power supply analysis equipment based on the latest network topology result, wherein the tracking of the power supply path spans the closed switch knife-switch, the live line and the main transformer equipment until the open switch knife-switch, the power supply range is searched by adopting width-first search according to the tide direction in the tracking process, and the searched equipment is marked as equipment in the power supply range.
4. The wide-area scheduling method for elastic resources of power grid based on network reconfiguration according to claim 1, wherein the heavy overload situations for network reconfiguration optimization include main transformer heavy overload and line heavy overload of 220kV and 110kV, and the given load transfer switching sequence includes: 110kV line switch, 110kV bus coupler switch, main transformer side switches and 10kV bus branch switch.
5. The wide-area scheduling method for elastic resources of power grid based on network reconfiguration according to claim 4, wherein in the heavy overload condition, for a 110kV main transformer heavy overload, a 10kV bus switch is operated to eliminate the overload; for the power supply condition of multiple main transformers in a 110kV transformer substation, the load sharing among the multiple main transformers is carried out by transferring the load carried by a 10kV bus through a bus coupler, and the out-of-limit condition is eliminated.
6. The power grid elastic resource wide-area scheduling method based on network reconfiguration according to claim 5, wherein in the heavy overload condition, for heavy overload of a 110kV line, in combination with a main transformer dynamic power supply partition range in a higher-level 220kV substation, it is determined whether a situation of series supply of the 110kV substation between two or more 220kV substations exists; for a 220kV transformer substation series power supply mode, an open loop point of a series power supply path is searched through a breadth-first algorithm topology, and an interconnection switch between the downstream of an overload 110kV line and power supply paths of other 220kV transformer substations is determined on a power supply path of a 220kV transformer substation at the upper level of the overload 110kV line; selecting a sectionalizer to be exchanged at the upstream of an overload line by a branch exchange method, counting loads to be transferred, forming a plurality of alternative load transfer schemes for switching on a tie switch and switching off the sectionalizer, and performing feasibility analysis and screening through safety check to obtain a final transfer scheme;
if different 110kV main transformers belong to different 110kV line power supply subareas in a transformer substation which is powered by an out-of-limit 110kV line, the switching of power supply through a 110kV bus coupler or a 110kV communication line can be considered, or the problem of switching of power supply of the 110kV line is converted into the problem of switching of load of the 110kV main transformer, whether a 10kV bus coupler switching scheme is available or not is detected to transfer the load to other 110kV line power supply subareas, and in such a case, the 110kV line final switching scheme is a combination of the power supply main transformer switching schemes of the 110kV line;
for the double-circuit line power supply mode, if the double-circuit line is overloaded and needs to transfer a certain load, the double-circuit line is used as a control section to transfer simultaneously.
7. The wide-area scheduling method of elastic resources of power grid based on network reconfiguration as claimed in claim 4, wherein in the heavy overload condition, for heavy overload of 220kV main transformer, the main transformer limit and the load to be transferred are calculated first; secondly, searching a set of 110kV lines supplied by the 220kV main transformer station based on a topological result, sequencing the 110kV line sets supplied with power according to the size of the load to be transferred, selecting a proper 110kV line set to be transferred, transferring the lines to other 220kV main transformer power supply points for supplying power, wherein the final transfer scheme of the 220kV main transformer is a combination of the line transfer schemes;
for the serial supply condition of the two 220kV transformer substations to the 110kV transformer substation, a branch exchange method is adopted to search a transfer supply scheme; for the condition that different 110kV buses belong to different 110kV line power supply in a transformer substation powered by a 110kV line, if the 110kV line to be converted and a target 110kV line belong to different 220kV main transformer power supply subareas, searching a corresponding bus coupler switch conversion supply scheme for load transfer.
8. The wide-area scheduling method for the elastic resources of the power grid based on the network reconfiguration is characterized in that in the heavy overload situation, for a 220kV line heavy overload, when the line is heavily overloaded, firstly, a 220kV substation which is supplied with power by the line is determined according to the power flow direction of the overloaded line, secondly, load transfer analysis is performed on a 220kV main transformer in the substation, and the load of a part of 110kV substations in a power supply area of the substation is transferred to other 220kV substation power supply partitions so as to reduce the load of the overloaded 220kV line; at the moment, the final supply scheme of the 220kV line is a supply scheme combination of 220kV main transformers in the power supply substation.
9. The wide-area scheduling method of the elastic resources of the power grid based on the network reconfiguration of claim 1, wherein when the network reconfiguration cannot solve the safety risk of the heavy overload of the power grid, the power generation and load active power optimization adjustment is performed by analyzing the adjustable margin of the elastic resources of the power grid, so as to solve the problem of the overload of the power grid;
firstly, carrying out sensitivity analysis calculation of adjustable resources to overload equipment according to the safety analysis result of the heavily overloaded equipment of the power grid; secondly, based on the amount to be adjusted and the sensitivity of the overload equipment, combining the capacity margin of the adjustable resources, and selecting the adjusted resources by adopting a reverse equivalent pairing adjustment method so as to ensure the power balance of the system and the minimum adjustment amount and achieve the purpose of eliminating equipment out-of-limit;
the active power optimization adjustment aims at the minimum cost, the priority of the control measures is calculated, the control measures with the same priority determine the adjustment sequence according to the cost performance indexes of the control measures, and the aim of the minimum control cost is met.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115085197A (en) * | 2022-08-22 | 2022-09-20 | 广东电网有限责任公司湛江供电局 | Method and system for measuring and calculating overload level of relieving main transformer through load transfer |
| CN117498399A (en) * | 2023-12-29 | 2024-02-02 | 国网浙江省电力有限公司 | Multi-energy collaborative configuration method and system considering elastic adjustable energy entity access |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110196546A1 (en) * | 2010-02-09 | 2011-08-11 | Open Access Technology International, Inc. | Systems and methods for demand response and distributed energy resource management |
| CN108122068A (en) * | 2017-12-05 | 2018-06-05 | 中国电力科学研究院有限公司 | A kind of power distribution network risk-averse retailer method and system |
| US20200033933A1 (en) * | 2015-06-30 | 2020-01-30 | China Electric Power Research Institute Company Limited | Active power distribution network multi-time scale coordinated optimization scheduling method and storage medium |
| CN110797911A (en) * | 2019-10-31 | 2020-02-14 | 上海电力大学 | Multi-target active power distribution network switch state adjustment method based on state splitting |
| CN111276962A (en) * | 2018-12-04 | 2020-06-12 | 中国电力科学研究院有限公司 | Operation method and system of power distribution network |
-
2021
- 2021-11-17 CN CN202111362743.XA patent/CN114285085A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110196546A1 (en) * | 2010-02-09 | 2011-08-11 | Open Access Technology International, Inc. | Systems and methods for demand response and distributed energy resource management |
| US20200033933A1 (en) * | 2015-06-30 | 2020-01-30 | China Electric Power Research Institute Company Limited | Active power distribution network multi-time scale coordinated optimization scheduling method and storage medium |
| CN108122068A (en) * | 2017-12-05 | 2018-06-05 | 中国电力科学研究院有限公司 | A kind of power distribution network risk-averse retailer method and system |
| CN111276962A (en) * | 2018-12-04 | 2020-06-12 | 中国电力科学研究院有限公司 | Operation method and system of power distribution network |
| CN110797911A (en) * | 2019-10-31 | 2020-02-14 | 上海电力大学 | Multi-target active power distribution network switch state adjustment method based on state splitting |
Non-Patent Citations (2)
| Title |
|---|
| 熊飞 等: "考虑供区约束的地区电网重构研究", 电测与仪表, vol. 51, no. 23, 10 December 2014 (2014-12-10), pages 43 - 47 * |
| 诸晓骏: "考虑电动汽车有序充电的主动配电网源网荷优化调度研究", 中国优秀硕士学位论文全文数据库 工程科技II辑, 15 March 2017 (2017-03-15) * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115085197A (en) * | 2022-08-22 | 2022-09-20 | 广东电网有限责任公司湛江供电局 | Method and system for measuring and calculating overload level of relieving main transformer through load transfer |
| CN115085197B (en) * | 2022-08-22 | 2023-01-10 | 广东电网有限责任公司湛江供电局 | Method and system for measuring and calculating overload level of relieving main transformer through load transfer |
| CN117498399A (en) * | 2023-12-29 | 2024-02-02 | 国网浙江省电力有限公司 | Multi-energy collaborative configuration method and system considering elastic adjustable energy entity access |
| CN117498399B (en) * | 2023-12-29 | 2024-03-08 | 国网浙江省电力有限公司 | Multi-energy collaborative configuration method and system considering elastic adjustable energy entity access |
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