CN110994597A - Method, system and device for automatically generating self-healing control strategy of power distribution network - Google Patents
Method, system and device for automatically generating self-healing control strategy of power distribution network Download PDFInfo
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Abstract
The invention discloses a method, a system and a device for automatically generating a self-healing control strategy of a power distribution network, wherein the method comprises the following steps: calculating an evaluation index value in the state; determining the state of each evaluation index in the current state; selecting a target for generating a self-healing control strategy of the power distribution network; analyzing the reason for causing the state of the evaluation index not to reach the standard; generating a corresponding self-healing control strategy according to the reason for causing the state of the evaluation index not to reach the standard; and performing the rehearsal simulation according to the generated self-healing control strategy, generating an operation section in the state, using the operation section for calculating an evaluation index value in the rehearsal simulation state, and repeating the process until the state of each evaluation index in the rehearsal simulation state reaches the standard. The invention has the following beneficial effects: the real-time working condition of the quantitative identification system of the power distribution network running state evaluation index system is utilized, the target and the regulation degree of the self-healing control strategy are definitely generated, the targeting property of strategy formulation is improved, and the accurate regulation level is improved.
Description
Technical Field
The invention belongs to the technical field of distribution network automation, and particularly relates to a method, a system and a device for automatically generating a self-healing control strategy of a distribution network.
Background
With the increasing complexity of the structure, operation mode and operation environment of the power distribution network system, the importance of the self-healing control technology to the automatic operation of the power distribution network is increasingly prominent. At present, the self-healing control technology is with furthest to ensure that the incessant power supply of distribution network is the development target, and the concrete manifestation is in: before the failure, the failure is avoided (risk assessment and prevention control); after the fault occurs, the influence range of the fault on the power grid is limited to the minimum (fault diagnosis and protection, and power supply recovery in a sound area) as much as possible.
The existing self-healing control technical scheme performs software design of a master station system and a distributed intelligent terminal according to the goal of realizing 'self-sensing, self-diagnosis, self-decision and self-recovery' of the power distribution network, and effectively improves the power supply reliability of the power distribution network.
However, the self-healing control technology lacks a perfect evaluation system for the operation state of the power distribution network system, so that the power distribution automation system cannot pertinently select a control model adapted to the power distribution network system according to the real-time operation condition of the power distribution network; when the self-healing control strategy is prepared by the current running power distribution automation system, the adaptability consideration to multiple running states of the power distribution network is lacked, and the capacity of automatically generating the self-healing control strategy of the power distribution network still has a promotion space.
Disclosure of Invention
The invention aims to provide a method, a system and a device for automatically generating a self-healing control strategy of a power distribution network, aiming at the defect that the current power distribution automation system cannot be matched with the system operation state accurately and further reasonably formulate a corresponding control strategy, so that the aim and the regulation degree of the self-healing control strategy are definitely generated, and the self-healing control strategy for multiple operation states is automatically generated in a targeted manner.
In order to solve the problems in the prior art, the invention discloses a method for automatically generating a self-healing control strategy of a power distribution network, which comprises the following steps:
calculating each evaluation index value according to the acquired running section of the power distribution network in the current state;
determining the state of each evaluation index in the current state according to the evaluation index value; if the state of the evaluation index does not reach the standard, switching to a step of selecting a target for generating a self-healing control strategy of the power distribution network according to the evaluation index of which the state does not reach the standard;
selecting a target for generating a self-healing control strategy of the power distribution network according to the evaluation index of which the state does not reach the standard;
analyzing the reason for causing the state of the evaluation index not to reach the standard;
generating a corresponding self-healing control strategy according to the reason for causing the state of the evaluation index not to reach the standard;
performing rehearsal simulation according to the generated self-healing control strategy, generating an operation section in the state, and using the operation section for calculating an evaluation index value in the rehearsal simulation state; and repeating the process until the state of each evaluation index in the preview simulation state reaches the standard.
Further, the air conditioner is provided with a fan,
the method also comprises the following steps: executing a self-healing control strategy for enabling the state of each evaluation index in the current preview simulation state to reach the standard;
the step of determining the state of each evaluation index in the current state according to the evaluation index value further includes: if the state of the evaluation index reaches the standard, turning to the step of judging the data source of the current calculation evaluation index value;
the step of judging the data source of the current calculation evaluation index value is as follows: judging whether the current calculation evaluation index data is from a real-time operation section or a rehearsal simulation section, if the current calculation evaluation index data is from the real-time operation section, turning to the step of calculating the evaluation index value at the next moment, and if the current calculation evaluation index data is in the rehearsal simulation state, turning to the step of executing a self-healing control strategy for enabling the state of each evaluation index in the current rehearsal simulation state to reach the standard.
Further, the air conditioner is provided with a fan,
the evaluation index value comprises an important load transfer rate, a basic load transfer rate, voltage deviation, feeder load balance, a feeder power factor, network loss, a distribution transformation load rate and a feeder load rate; the evaluation indexes are in states including an optimized state, a normal state, a risk state and a fault state.
Further, the air conditioner is provided with a fan,
the specific process of selecting the target for generating the self-healing control strategy of the power distribution network according to the evaluation index of the state which does not reach the standard is as follows:
setting a weight value of each state according to the importance degree of the state of the evaluation index, setting the priority of a strategy target according to the weight value, and setting the standard as follows: the higher the weight value is, the higher the priority is; the state of the evaluation index sequentially comprises an optimized state, a normal state, a risk state and a fault state from low to high according to the weight value;
and taking the evaluation index of which the state does not reach the standard as the target for generating the self-healing control strategy of the power distribution network according to the priority of the state of the index value.
Further, the air conditioner is provided with a fan,
the process of analyzing the reason for the substandard evaluation index state is as follows:
and analyzing the reasons causing the state of the current evaluation index not to reach the standard according to the network topology, the operation mode, the power flow section and the diagnosis rule to obtain an analysis result, wherein the analysis result comprises a problem phenomenon, a reason, protection configuration and a protection fixed value.
Further, the air conditioner is provided with a fan,
the specific process of generating the corresponding self-healing control strategy according to the reason that the state of the evaluation index does not reach the standard is as follows:
and judging whether the corresponding strategy can be found in the self-matching strategy library according to the strategy generation condition, if so, selecting the strategy with the highest similarity as the self-matching result of the self-healing control strategy, and if not, operating the corresponding strategy in the power distribution automation system as the self-learning result of the self-healing control strategy.
Further, the air conditioner is provided with a fan,
the strategy generation conditions are as follows: if the problem and the existing strategy meet the conditions that the analysis result is completely consistent, the similarity of the operation section data is more than 90%, the network topology is completely consistent, the operation mode is completely consistent, and the similarity of the load rate of the main transformer/power distribution/feeder line is more than 90%, the problem is matched with the strategy.
Further, the air conditioner is provided with a fan,
the method also comprises a step of archiving the determined self-healing control strategy, wherein the archived information comprises a problem analysis result, operation section data, an execution strategy, an execution mode and an execution result.
The invention also provides a system for automatically generating the self-healing control strategy of the power distribution network, which comprises the following steps:
the calculation module is used for calculating each evaluation index value according to the acquired running section of the power distribution network in the current state;
the first judgment module is used for determining the state of each evaluation index in the current state according to the evaluation index value; if the state of the evaluation index does not reach the standard, starting a first generation module;
the first generation module is used for selecting and generating a target of a power distribution network self-healing control strategy according to the evaluation index of which the state does not reach the standard;
the analysis module is used for analyzing the reason that the state of the evaluation index does not reach the standard;
the second generation module is used for generating a corresponding self-healing control strategy according to the reason for causing the state of the evaluation index to not reach the standard;
and the simulation module is used for performing preview simulation according to the generated self-healing control strategy and generating an operation section in the state, and the operation section is used for calculating an evaluation index value in the preview simulation state.
Further, the air conditioner is provided with a fan,
further comprising: the execution module is used for executing a self-healing control strategy for enabling the state of each evaluation index in the current preview simulation state to reach the standard;
the first judging module further executes the following steps: if the state of the evaluation index reaches the standard, starting a second judgment module;
the second judging module is used for judging whether the current calculation evaluation index data is from a real-time operation section or a preview simulation section, starting the calculating module if the current calculation evaluation index data is from the real-time operation section, and starting the executing module if the current calculation evaluation index data is in a preview simulation state.
The invention also provides a device for automatically generating the self-healing control strategy of the power distribution network, which comprises a memory and a processor, wherein the memory stores a computer program, and the processor realizes the steps of the method when executing the computer program.
The invention has the following beneficial effects:
1. the real-time working condition of the quantitative identification system of the power distribution network running state evaluation index system is utilized, the target and the regulation degree of the self-healing control strategy are definitely generated, the targeting property of strategy formulation is improved, and the accurate regulation level is improved.
2. The method has the advantages that the method can carry out accurate self-matching or self-learning according to the identification result of the system running state, automatically generate the self-healing control strategy corresponding to multiple running states in a targeted manner, improve the adaptability of the method for automatically generating the self-healing control strategy under the full working condition of the running of the power distribution network, shorten the strategy making time and improve the power supply reliability of the power distribution network.
Drawings
Fig. 1 is a flowchart of a method for automatically generating a self-healing control strategy of a power distribution network according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of an IEEE 33 node power distribution network according to 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.
As shown in fig. 2, the distribution network comprises one substation and 37 branches. The solid line represents the normally closed branch and the dashed line represents the normally open branch. The distributed power supply is installed at nodes 6, 14 and 29. The transformer branches are 1-2. The total active and reactive loads of the system are 3635kW and 2265kvar, respectively. The output of the three distributed power sources is the same, accounting for 30% of the total load of the system, and the three-phase balanced power factor cos θ is 0.95 (hysteresis). Network and load parameters need to be modified appropriately according to embodiments of the present invention.
For the IEEE 33 node power distribution network shown in fig. 2, the self-healing control strategy automatic generation method includes the following processes:
as shown in fig. 1, S1, an evaluation index value in this state is calculated according to the obtained current power distribution network operation section, where the evaluation index value includes an important load transfer rate, a basic load transfer rate, a voltage deviation, a feeder load balance degree, a feeder power factor, a network loss, a distribution transformation load rate, and a feeder load rate, and a calculation result is shown in the following table:
| rate of important load transfer | 1 |
| Base load transfer rate | 1 |
| Deviation of voltage | 0.02 |
| Degree of load balance of feeder line | 0.9 |
| Feed line power factor | 0.95 |
| Network loss | 0.06 |
| Load factor of distribution transformer | 0.6 |
| Load factor of feeder line | 0.7 |
And S2, judging the state of each current evaluation index according to the evaluation index value of the running state of each power distribution network, wherein the evaluation index state comprises an optimized state, a normal state, a risk state and a fault state. The division intervals are shown in the following table:
if the state of the evaluation index reaches the standard in this step, the process goes to S8, and if the state of the evaluation index does not reach the standard, the process goes to S3.
S3, selecting and generating a target of the self-healing control strategy of the power distribution network according to the evaluation index of the state of the power distribution network, wherein the specific process is as follows:
s31, setting a weight value of each state according to the importance degree of the state of the evaluation index, setting the priority of the strategy target according to the weight value, and setting the standard as follows: the higher the weight value, the higher the priority. The state of the evaluation index sequentially comprises an optimized state, a normal state, a risk state and a fault state from low to high according to the weight value.
And S32, taking the evaluation index of which the state does not reach the standard as the target for generating the self-healing control strategy of the power distribution network according to the priority of the state of the index value. In this embodiment, only one operation state evaluation index does not satisfy the requirement, so that the target priority problem is not considered, and the weight of the operation state evaluation index of the power distribution network is shown in the following table:
and S4, analyzing the reason that the state of the evaluation index does not reach the standard currently according to the network topology, the operation mode, the power flow section and the diagnosis rule to obtain an analysis result. The analysis result comprises problem phenomena, reasons, protection configuration and protection fixed values. In this embodiment, for the problem of high network loss, the reason for analyzing the existence of the optimization to be performed in the current system operation is that the network structure is unreasonable and network reconfiguration is required.
S5, generating a corresponding self-healing control strategy according to the reason that the state of the evaluation index does not reach the standard, wherein the specific process is as follows:
and judging whether the corresponding strategy can be found in the self-matching strategy library according to the strategy generation condition, if so, selecting the strategy with the highest similarity as the self-matching result of the self-healing control strategy, and if not, operating the corresponding strategy in the power distribution automation system as the self-learning result of the self-healing control strategy. It should be noted that the self-matching policy library is a policy database, and includes a historical accident set and an expected accident set. The distribution automation system is an existing system and comprises a processing flow and a processing scheme of corresponding problems.
The strategy generation conditions are as follows: if the problem and the existing strategy meet the conditions that the analysis result is completely consistent, the similarity of operation section data (such as tidal current data) is more than 90%, the network topology is completely consistent, the operation modes are completely consistent, and the similarity of the load rate of the main transformer/distribution/feeder line is more than 90%, the problem is matched with the strategy. In this embodiment, the problem analysis results are completely consistent, the operation section data similarity is 94%, the network topology is completely consistent, the operation modes are completely consistent, and the main transformer/distribution/feeder load rate similarity is 92%, so that the policy generation conditions are met, the existing self-healing control policy can be matched, and the self-healing generation policy is to open the branches 7-8, 9-10, 13-14, 25-29 and 32-33.
And S6, performing the preview simulation according to the generated self-healing control strategy, generating an operation section in the state, and substituting the operation section into S1 to calculate the evaluation index value in the preview simulation state. And repeating the process until the state of the evaluation index value in the preview simulation state reaches the standard. After simulation, the evaluation indexes of the running states of the power distribution networks reach the standard, the network loss is reduced to 66.4kW (0.02) at the moment, and the calculation result of the evaluation index values of the running states of the power distribution networks under the self-matching generation strategy is shown in the following table:
| rate of important load transfer | 1 |
| Base load transfer rate | 1 |
| Deviation of voltage | 0.01 |
| Degree of load balance of feeder line | 0.9 |
| Feed line power factor | 0.96 |
| Network loss | 0.02 |
| Load factor of distribution transformer | 0.5 |
| Load factor of feeder line | 0.6 |
And S7, judging whether the current calculation evaluation index data is from a real-time operation section or a preview simulation section, if the current calculation evaluation index data is from the real-time operation section, turning to S1 to calculate the evaluation index value at the next moment, and if the current calculation evaluation index data is from the preview simulation section, turning to S8.
And S8, selecting an automatic or manual execution mode aiming at the generated self-healing control strategy, storing the problem analysis result, the operation section data, the execution strategy, the execution mode and the execution result of the self-healing control strategy executed at this time into a historical accident set, perfecting the record of a self-matching strategy library, and providing reference for the automatic generation of the subsequent self-healing control strategy of the power distribution network.
Based on the same inventive concept, the invention also provides an automatic generation system of the self-healing control strategy of the power distribution network, which comprises a calculation module, a first judgment module, a first generation module, an analysis module, a second generation module, a simulation module and an execution module.
The calculation module is used for calculating each evaluation index value according to the acquired running section of the power distribution network in the current state; the first judgment module is used for determining the state of each evaluation index in the current state according to the evaluation index value; if the state of the evaluation index does not reach the standard, starting a first generation module; the first generation module is used for selecting and generating a target of a self-healing control strategy of the power distribution network according to the evaluation index of which the state does not reach the standard; the analysis module is used for analyzing the reason for causing the state of the evaluation index to not reach the standard; the second generation module is used for generating a corresponding self-healing control strategy according to the reason for causing the state of the evaluation index to not reach the standard; the simulation module is used for performing preview simulation according to the generated self-healing control strategy and generating an operation section in the state, and the operation section is used for calculating an evaluation index value in the preview simulation state; the execution module is used for executing a self-healing control strategy for enabling the state of each evaluation index in the current preview simulation state to reach the standard.
In one embodiment, the first determining module further performs the following steps: if the state of the evaluation index reaches the standard, starting a second judgment module; the second judging module is used for judging whether the current calculation evaluation index data is from a real-time operation section or a preview simulation section, starting the calculating module if the current calculation evaluation index data is from the real-time operation section, and starting the executing module if the current calculation evaluation index data is in a preview simulation state.
Based on the same inventive concept, the invention also provides an automatic generation device of the self-healing control strategy of the power distribution network, which comprises a memory and a processor, wherein the memory stores a computer program, and the processor realizes the steps of the method when executing the computer program.
The above description is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, several modifications and variations can be made without departing from the technical principle of the present invention, and these modifications and variations should also be regarded as the protection scope of the present invention.
Claims (11)
1. A self-healing control strategy automatic generation method for a power distribution network is characterized by comprising the following steps: the method comprises the following steps:
calculating each evaluation index value according to the acquired running section of the power distribution network in the current state;
determining the state of each evaluation index in the current state according to the evaluation index value; if the state of the evaluation index does not reach the standard, switching to a step of selecting a target for generating a self-healing control strategy of the power distribution network according to the evaluation index of which the state does not reach the standard;
selecting a target for generating a self-healing control strategy of the power distribution network according to the evaluation index of which the state does not reach the standard;
analyzing the reason for causing the state of the evaluation index not to reach the standard;
generating a corresponding self-healing control strategy according to the reason for causing the state of the evaluation index not to reach the standard;
performing rehearsal simulation according to the generated self-healing control strategy, generating an operation section in the state, and using the operation section for calculating an evaluation index value in the rehearsal simulation state; and repeating the process until the state of each evaluation index in the preview simulation state reaches the standard.
2. The automatic generation method of the self-healing control strategy of the power distribution network according to claim 1, characterized in that:
the method also comprises the following steps: executing a self-healing control strategy for enabling the state of each evaluation index in the current preview simulation state to reach the standard;
the step of determining the state of each evaluation index in the current state according to the evaluation index value further includes: if the state of the evaluation index reaches the standard, turning to the step of judging the data source of the current calculation evaluation index value;
the step of judging the data source of the current calculation evaluation index value is as follows: judging whether the current calculation evaluation index data is from a real-time operation section or a rehearsal simulation section, if the current calculation evaluation index data is from the real-time operation section, turning to the step of calculating the evaluation index value at the next moment, and if the current calculation evaluation index data is in the rehearsal simulation state, turning to the step of executing a self-healing control strategy for enabling the state of each evaluation index in the current rehearsal simulation state to reach the standard.
3. The automatic generation method of the self-healing control strategy of the power distribution network according to claim 1, characterized in that:
the evaluation index value comprises an important load transfer rate, a basic load transfer rate, voltage deviation, feeder load balance, a feeder power factor, network loss, a distribution transformation load rate and a feeder load rate; the evaluation indexes are in states including an optimized state, a normal state, a risk state and a fault state.
4. The automatic generation method of the self-healing control strategy of the power distribution network according to claim 3, characterized in that:
the specific process of selecting the target for generating the self-healing control strategy of the power distribution network according to the evaluation index of the state which does not reach the standard is as follows:
setting a weight value of each state according to the importance degree of the state of the evaluation index, setting the priority of a strategy target according to the weight value, and setting the standard as follows: the higher the weight value is, the higher the priority is; the state of the evaluation index sequentially comprises an optimized state, a normal state, a risk state and a fault state from low to high according to the weight value;
and taking the evaluation index of which the state does not reach the standard as the target for generating the self-healing control strategy of the power distribution network according to the priority of the state of the index value.
5. The automatic generation method of the self-healing control strategy of the power distribution network according to claim 1, characterized in that:
the process of analyzing the reason for the substandard evaluation index state is as follows:
and analyzing the reasons causing the state of the current evaluation index not to reach the standard according to the network topology, the operation mode, the power flow section and the diagnosis rule to obtain an analysis result, wherein the analysis result comprises a problem phenomenon, a reason, protection configuration and a protection fixed value.
6. The automatic generation method of the self-healing control strategy of the power distribution network according to claim 1, characterized in that:
the specific process of generating the corresponding self-healing control strategy according to the reason that the state of the evaluation index does not reach the standard is as follows:
and judging whether the corresponding strategy can be found in the self-matching strategy library according to the strategy generation condition, if so, selecting the strategy with the highest similarity as the self-matching result of the self-healing control strategy, and if not, operating the corresponding strategy in the power distribution automation system as the self-learning result of the self-healing control strategy.
7. The power distribution network self-healing control strategy automatic generation method according to claim 6, characterized in that:
the strategy generation conditions are as follows: if the problem and the existing strategy meet the conditions that the analysis result is completely consistent, the similarity of the operation section data is more than 90%, the network topology is completely consistent, the operation mode is completely consistent, and the similarity of the load rate of the main transformer/power distribution/feeder line is more than 90%, the problem is matched with the strategy.
8. The automatic generation method of the self-healing control strategy of the power distribution network according to claim 1, characterized in that:
the method also comprises the following steps: and archiving the determined self-healing control strategy, wherein the archived information comprises a problem analysis result, operation section data, an execution strategy, an execution mode and an execution result.
9. The utility model provides a distribution network self-healing control strategy automatic generation system which characterized in that: the method comprises the following steps:
the calculation module is used for calculating each evaluation index value according to the acquired running section of the power distribution network in the current state;
the first judgment module is used for determining the state of each evaluation index in the current state according to the evaluation index value; if the state of the evaluation index does not reach the standard, starting a first generation module;
the first generation module is used for selecting and generating a target of a power distribution network self-healing control strategy according to the evaluation index of which the state does not reach the standard;
the analysis module is used for analyzing the reason that the state of the evaluation index does not reach the standard;
the second generation module is used for generating a corresponding self-healing control strategy according to the reason for causing the state of the evaluation index to not reach the standard;
and the simulation module is used for performing preview simulation according to the generated self-healing control strategy and generating an operation section in the state, and the operation section is used for calculating an evaluation index value in the preview simulation state.
10. The system according to claim 9, wherein the system is configured to automatically generate a self-healing control strategy for the power distribution network, and is further configured to:
further comprising: the execution module is used for executing a self-healing control strategy for enabling the state of each evaluation index in the current preview simulation state to reach the standard;
the first judging module further executes the following steps: if the state of the evaluation index reaches the standard, starting a second judgment module;
the second judging module is used for judging whether the current calculation evaluation index data is from a real-time operation section or a preview simulation section, starting the calculating module if the current calculation evaluation index data is from the real-time operation section, and starting the executing module if the current calculation evaluation index data is in a preview simulation state.
11. The utility model provides a distribution network self-healing control strategy automatic generation device which characterized in that: comprising a memory storing a computer program and a processor implementing the steps of the method of any one of claims 1 to 8 when executing the computer program.
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| CN101908764A (en) * | 2010-08-11 | 2010-12-08 | 华北电力大学 | Self-healing control method of electric network |
| CN102231521A (en) * | 2011-06-24 | 2011-11-02 | 中国电力科学研究院 | Power grid operation state identification method in distribution network self-healing control |
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Application publication date: 20200410 |