CN115483698B - AC/DC hybrid power distribution network operation stability evaluation system and method - Google Patents
AC/DC hybrid power distribution network operation stability evaluation system and method Download PDFInfo
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Abstract
The invention discloses a system and a method for evaluating the running stability of an alternating current/direct current hybrid power distribution network, relates to the technical field of stability evaluation, and solves the technical problem that in the prior art, the running efficiency of the power distribution network is low due to the fact that the stability cannot be accurately analyzed in the running process of the power distribution network; according to the invention, the stability analysis is carried out on the power distribution network, whether the operation process of the power distribution network is stable or not is judged, the operation efficiency of the power distribution network is improved, and meanwhile, the operation state of the power distribution network is detected in real time through the stability analysis of the power distribution network, so that the operation monitoring force is improved, the operation can be completed in time when the operation is unstable, and the influence caused by the operation fluctuation of the power distribution network is reduced; the initial operation of the power distribution network is detected, and the unstable operation stage of the power distribution network is judged, so that the stability influence factors can be accurately analyzed to be external influence or internal influence of the power distribution network, the accuracy of stability maintenance can be improved, and the operation efficiency of the power distribution network is improved.
Description
Technical Field
The invention relates to the technical field of stability evaluation, in particular to a system and a method for evaluating the running stability of an alternating current-direct current hybrid power distribution network.
Background
The alternating current-direct current hybrid power distribution network is a power distribution network in which alternating current and direct current are mixed together, and the construction of the alternating current-direct current hybrid power distribution network on the basis of the alternating current power distribution network is a development trend of a future power distribution network, but the introduction of new equipment such as a distributed power supply and an energy storage device in the direct current power distribution network also has new influence on energy efficiency; in recent years, along with the continuous advancement of the modern progress of society, the demands of people for electric quantity are increased, the power grid is developed towards ultrahigh voltage and large capacity, the demands of people for the safety and reliability of electricity are also increased, and an electric enterprise is vital for the operation and maintenance of AC/DC hybrid power distribution network equipment;
in the prior art, stability cannot be accurately analyzed in the running process of the power distribution network so as to cause low running efficiency of the power distribution network, and meanwhile, when the stability is unqualified, the reasons of abnormal stability of the power distribution network cannot be accurately analyzed according to the running analysis of the power distribution network so as to cause the reduction of stability maintenance accuracy;
in view of the above technical drawbacks, a solution is now proposed.
Disclosure of Invention
The invention aims to solve the problems, and provides a system and a method for evaluating the running stability of an alternating current/direct current hybrid power distribution network, which are used for analyzing the stability of the power distribution network, judging whether the running process of the power distribution network is stable or not, improving the running efficiency of the power distribution network, detecting the running state of the power distribution network in real time through the stability analysis of the power distribution network, being beneficial to improving the running monitoring force, being capable of performing a rectifying operation in time when the running is unstable and reducing the influence caused by the running fluctuation of the power distribution network; the initial operation of the power distribution network is detected, and the unstable operation stage of the power distribution network is judged, so that the stability influence factors can be accurately analyzed to be external influence or internal influence of the power distribution network, the accuracy of stability maintenance can be improved, and the operation efficiency of the power distribution network is improved.
The aim of the invention can be achieved by the following technical scheme:
an ac/dc hybrid distribution network operation stability evaluation system comprises a server, wherein the server is in communication connection with:
the power distribution network stability analysis unit is used for carrying out stability analysis on the power distribution network, judging whether the operation process of the power distribution network is stable, obtaining stability analysis coefficients of the power distribution network in an execution time period through analysis, comparing and generating a stability analysis qualified signal and a stability analysis unqualified signal according to the stability analysis coefficients of the power distribution network, and sending the stability analysis qualified signal and the stability analysis unqualified signal to the server;
the static operation detection unit is used for detecting the initial operation of the power distribution network, marking the execution speed of the power distribution task in the corresponding operation expectation of the power distribution network as a power distribution task execution speed threshold, marking the time period from the speed increase of the power distribution task at the moment of starting operation to the power distribution task execution speed threshold as a static operation time period when the power distribution network starts to operate, marking the operation state of the power distribution network in the static operation time period as static operation, generating a static detection disqualification signal and a static detection qualification signal through static operation analysis, and sending the static detection disqualification signal to the server;
the fault influence detection unit is used for analyzing the operation faults of the power distribution network after the power distribution network completes static operation, dividing the operation faults into high-influence faults and low-influence faults through analysis and sending the high-influence faults and the low-influence faults to the server;
the risk control efficiency detection unit is used for detecting the efficiency of fault risk control in the running process of the power distribution network, analyzing the running parameters of the power distribution network when the running faults of the power distribution network occur, and marking the corresponding running parameters as the influence parameters of the running faults if the floating frequency of the running parameters of the power distribution network exceeds a floating frequency threshold value when the running faults of the power distribution network occur; and acquiring a risk control efficiency detection coefficient in the operation process of the power distribution network through analysis, comparing and generating a risk control efficiency detection unqualified signal and a risk control efficiency detection qualified signal according to the risk control efficiency detection coefficient, and sending the risk control efficiency detection unqualified signal and the risk control efficiency detection qualified signal to a server.
As a preferred embodiment of the invention, the operation of the distribution network stability analysis unit is as follows:
acquiring an operation time period of the power distribution network, marking the operation time period as an execution time period, constructing an operation expectation of the power distribution network according to the task amount of the power distribution network in the execution time period, and acquiring frequency which is not met by the operation expectation of the power distribution network in the execution time period and reduction of the operation expectation income when the operation expectation is not met; acquiring the probability of running expected to be completed in a set time in an execution time period; obtaining a stability analysis coefficient of the power distribution network in an execution time period through analysis; comparing the stability analysis coefficient of the power distribution network in the execution time period with a stability analysis coefficient threshold value:
if the stability analysis coefficient of the power distribution network in the execution time period exceeds the stability analysis coefficient threshold, judging that the stability analysis of the power distribution network in the execution time period is qualified, generating a stability analysis qualified signal and sending the stability analysis qualified signal to a server; and if the stability analysis coefficient of the power distribution network in the execution time period does not exceed the stability analysis coefficient threshold, judging that the stability analysis of the power distribution network in the execution time period is unqualified, generating a stability analysis unqualified signal and sending the stability analysis unqualified signal to a server.
As a preferred embodiment of the present invention, the static operation detection unit operates as follows:
the distribution fault occurrence frequency and the controllable probability after the distribution fault occurrence in the distribution network static operation process are collected, and compared with a fault occurrence frequency threshold and a controllable probability threshold respectively:
if the occurrence frequency of the distribution fault exceeds a fault occurrence frequency threshold value in the static operation process of the distribution network or the controllable probability exceeds a controllable probability threshold value after the distribution fault occurs, generating a static detection failure signal and sending the static detection failure signal to a server; and if the occurrence frequency of the distribution faults does not exceed the fault occurrence frequency threshold value in the static operation process of the distribution network and the controllable probability of the distribution faults does not exceed the controllable probability threshold value, generating a static detection qualified signal and sending the static detection qualified signal to a server.
As a preferred embodiment of the present invention, the operation of the fault impact detection unit is as follows:
the frequency of automatic recovery after the occurrence of the operation fault and the probability of continuous occurrence after the maintenance of the operation fault of the corresponding type in the operation process of the power distribution network are acquired, and compared with an automatic recovery frequency threshold and a continuous occurrence probability threshold respectively:
if the frequency of automatic recovery after the occurrence of the operation faults in the operation process of the power distribution network does not exceed the automatic recovery frequency threshold, or the probability of continuous occurrence after the maintenance of the operation faults of the corresponding type exceeds the continuous occurrence probability threshold, marking the corresponding operation faults as high-influence faults, and correspondingly transmitting the high-influence fault types to a server;
if the frequency of automatic recovery after the occurrence of the operation faults in the operation process of the power distribution network exceeds an automatic recovery frequency threshold value and the probability of continuous occurrence after the maintenance of the operation faults of the corresponding type does not exceed a continuous occurrence probability threshold value, marking the corresponding operation faults as low-influence faults and correspondingly transmitting the low-influence fault types to a server.
As a preferred embodiment of the present invention, the risk control efficiency detection unit operates as follows:
acquiring the interval duration of the influence parameter floating moment and the control moment in the running process of the power distribution network and the reduction of the floating speed after the influence parameter control floating, and marking the interval duration of the influence parameter floating moment and the control moment in the running process of the power distribution network and the reduction of the floating speed after the influence parameter control floating as JG and JD respectively; acquiring probability in a range of a control threshold of the influencing parameter value in the running process of the power distribution network, and marking the probability in the range of the control threshold of the influencing parameter value in the running process of the power distribution network as GL;
by the formula
Acquiring a risk control efficiency detection coefficient C in the operation process of the power distribution network, wherein s1, s2 and s3 are preset proportional coefficients, s1 is more than s2 is more than s3 is more than 0, beta is a fault influence coefficient, and when the power distribution network operates in a fault typeWhen the type is a high-influence fault type, the value of beta is 0.8; when the operation fault type is a low-influence fault type, the value of beta is 1.05;
comparing the risk control efficiency detection coefficient C with a risk control efficiency detection coefficient threshold value in the running process of the power distribution network:
if the risk control efficiency detection coefficient C exceeds the risk control efficiency detection coefficient threshold in the running process of the power distribution network, judging that the risk control efficiency detection is qualified in the running process of the power distribution network, generating a risk control efficiency detection qualified signal and sending the risk control efficiency detection qualified signal to a server;
if the risk control efficiency detection coefficient C in the running process of the power distribution network does not exceed the risk control efficiency detection coefficient threshold, judging that the risk control efficiency detection is unqualified in the running process of the power distribution network, generating a risk control efficiency detection unqualified signal and sending the risk control efficiency detection unqualified signal to a server.
The operation stability evaluation method of the AC/DC hybrid power distribution network comprises the following steps of:
step one, carrying out stability analysis on a power distribution network, judging whether the running process of the power distribution network is stable, obtaining stability analysis coefficients of the power distribution network in an execution time period through analysis, and comparing and judging whether the stability of the power distribution network is qualified according to the stability analysis coefficients of the power distribution network;
detecting the initial operation of the power distribution network when the stability of the power distribution network is unqualified, marking the execution speed of the power distribution task in the expected corresponding operation of the power distribution network as a power distribution task execution speed threshold, marking a time period from the speed increase of the power distribution task execution speed at the moment of starting operation to the power distribution task execution speed threshold as a static operation time period when the power distribution network starts to operate, marking the operation state of the power distribution network as static operation in the static operation time period, and judging whether the static detection of the power distribution network is qualified or not through static operation analysis;
thirdly, after static detection of the power distribution network is qualified, analyzing the operation fault of the power distribution network, and dividing the operation fault into a high-influence fault and a low-influence fault through analysis;
and fourthly, performing efficiency detection on risk control of different fault types in the operation process of the power distribution network, analyzing operation parameters of the power distribution network when the operation faults of the power distribution network occur, acquiring risk control efficiency detection coefficients in the operation process of the power distribution network through analysis, and comparing whether the risk control efficiency is normal or not according to the risk control efficiency detection coefficients.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the method, the stability analysis is carried out on the AC/DC hybrid power distribution network in a targeted manner, whether the operation process of the power distribution network is stable or not is judged, the operation efficiency of the power distribution network is improved, meanwhile, the operation state of the power distribution network is detected in real time through the stability analysis of the power distribution network, the operation monitoring force is improved, the operation can be completed in time when the operation is unstable, and the influence caused by the operation fluctuation of the power distribution network is reduced; detecting the initial operation of the power distribution network and judging the unstable operation stage of the power distribution network, so that the stability influence factors can be accurately analyzed to be external influence or internal influence of the power distribution network, the accuracy of stability maintenance can be improved, and the operation efficiency of the power distribution network is improved;
2. in the invention, the influence of the distribution faults in the running process of the distribution network is analyzed, and whether the influence of the running faults of the distribution network is controllable is judged, so that accurate and proper fault maintenance is implemented aiming at the type of the running faults, thereby ensuring the maintenance stability of the running faults and simultaneously reducing the influence caused by the running faults to the maximum extent; and (3) efficiency detection is carried out on fault risk control in the running process of the power distribution network, whether the control efficiency is qualified when the fault risk exists in the running process of the power distribution network is judged, the fault risk control of the power distribution network is detected, the efficiency of fault management and control of the power distribution network is improved, and the fault incidence rate of the power distribution network is reduced.
Drawings
The present invention is further described below with reference to the accompanying drawings for the convenience of understanding by those skilled in the art.
Fig. 1 is a functional block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Traditional alternating current distribution systems face a series of problems such as high line loss, power quality disturbance, voltage drop and the like, and the ever-increasing power demands of power consumers are difficult to meet. Compared with an alternating-current power distribution network, the direct-current power supply effectively solves the power quality problems of harmonic waves, unbalanced three phases and the like, has obvious advantages in improving the power supply quality, and cannot completely replace the alternating-current power distribution network in a short time. Therefore, the construction of an alternating current-direct current hybrid power distribution network on the basis of an alternating current power distribution network is a development trend of a future power distribution network. However, the introduction of new devices such as a distributed power supply and an energy storage device in the direct-current power distribution network also has a new influence on energy efficiency; in the application, the power distribution network in the technical scheme is correspondingly referred to as an alternating current-direct current hybrid power distribution network.
Referring to fig. 1, an ac/dc hybrid power distribution network operation stability evaluation system includes a server, where the server is communicatively connected with a power distribution network stability analysis unit, a static operation detection unit, a fault impact detection unit, and a risk control efficiency detection unit, and the server is in bidirectional communication connection with the power distribution network stability analysis unit, the static operation detection unit, the fault impact detection unit, and the risk control efficiency detection unit;
the method comprises the steps that a server generates a power distribution network stability analysis signal and sends the power distribution network stability analysis signal to a power distribution network stability analysis unit, the power distribution network stability analysis unit receives the power distribution network stability analysis signal and then carries out stability analysis on the power distribution network to judge whether the operation process of the power distribution network is stable, so that the operation efficiency of the power distribution network is improved, meanwhile, the operation state of the power distribution network is detected in real time through the stability analysis of the power distribution network, the operation monitoring force is improved, the power distribution network can be regulated in time when the operation is unstable, and the influence caused by the operation fluctuation of the power distribution network is reduced;
acquiring an operation time period of a power distribution network, marking the operation time period as an execution time period, constructing operation expectations of the power distribution network according to the task amount of the power distribution network in the execution time period, wherein the task amount of the power distribution network is represented as task amounts such as power distribution amount, operation time length and the like, acquiring frequency which is not met by the operation expectations of the power distribution network in the execution time period and reduction amount of operation expected benefits when the operation expectations are not met, and marking the frequency which is not met by the operation expectations of the power distribution network in the execution time period and the reduction amount of the operation expected benefits when the operation expectations are not met as WPL and JDL respectively; collecting the probability that the operation is expected to be completed in the set time in the execution time period, and marking the probability that the operation is expected to be completed in the set time in the execution time period as WGL;
by the formula
Acquiring a stability analysis coefficient X of the power distribution network in an execution time period, wherein a1, a2 and a3 are preset proportionality coefficients, a1 is more than a2 and more than a3, alpha is an error correction factor, and the value is 0.986;
comparing the stability analysis coefficient X of the power distribution network in the execution time period with a stability analysis coefficient threshold value:
if the stability analysis coefficient X of the power distribution network in the execution time period exceeds the stability analysis coefficient threshold, judging that the stability analysis of the power distribution network in the execution time period is qualified, generating a stability analysis qualified signal and sending the stability analysis qualified signal to a server; if the stability analysis coefficient X of the power distribution network in the execution time period does not exceed the stability analysis coefficient threshold value, judging that the stability analysis of the power distribution network in the execution time period is unqualified, generating a stability analysis unqualified signal and sending the stability analysis unqualified signal to a server;
after receiving the stability analysis qualified signal, the server marks the current execution time period as a stable time period, and performs statistics storage on the operation expectations and the execution flows of the operation expectations of the power distribution network in the stable time period;
after receiving the stability analysis disqualified signal, the server generates a static operation detection signal and sends the static operation detection signal to the static operation detection unit, and after receiving the static operation detection signal, the static operation detection unit detects the initial operation of the power distribution network and judges the unstable operation stage of the power distribution network, so that the stability influence factors can be accurately analyzed to be external influence or self internal influence, the accuracy of stability maintenance can be improved, and the operation efficiency of the power distribution network is improved;
marking the execution speed of the power distribution task in the power distribution network corresponding operation expectation as a power distribution task execution speed threshold, wherein the power distribution task execution speed is the speed of power distribution network corresponding electric quantity distribution, when the power distribution network starts to operate, marking the time period from the speed increase of the power distribution task execution speed at the starting operation time to the power distribution task execution speed threshold as a static operation time period, and marking the operation state of the power distribution network as static operation in the static operation time period;
the distribution fault occurrence frequency and the controllable probability after the distribution fault occurrence in the distribution network static operation process are collected, and the distribution fault occurrence frequency and the controllable probability after the distribution fault occurrence in the distribution network static operation process are compared with a fault occurrence frequency threshold and a controllable probability threshold respectively: distribution faults are represented as faults affecting distribution efficiency in the running process of the distribution network;
if the occurrence frequency of the distribution faults exceeds a fault occurrence frequency threshold value in the static operation process of the distribution network or the controllable probability exceeds a controllable probability threshold value after the distribution faults occur, judging that the static detection of the distribution network is unqualified, generating a static detection unqualified signal and sending the static detection unqualified signal to a server; after receiving the static detection failure signal, the server maintains and monitors the execution equipment which corresponds to the current running expectation of the power distribution network;
if the occurrence frequency of the distribution faults does not exceed the fault occurrence frequency threshold value in the static operation process of the distribution network and the controllable probability of the distribution faults does not exceed the controllable probability threshold value, judging that the distribution network is qualified in static detection, generating a static detection qualified signal and sending the static detection qualified signal to a server;
after receiving the static detection qualified signal, the server generates a fault influence detection signal and sends the fault influence detection signal to a fault influence detection unit, and after receiving the fault influence detection signal, the fault influence detection unit analyzes the influence of the power distribution fault in the operation process of the power distribution network so as to judge whether the influence of the operation fault of the power distribution network is controllable or not, so that accurate and proper fault maintenance is implemented aiming at the type of the operation fault, the maintenance stability of the operation fault is ensured, and meanwhile, the influence caused by the operation fault is furthest reduced;
after the power distribution network completes static operation, the operation faults of the power distribution network are analyzed, the frequency capable of automatically recovering after the operation faults occur in the operation process of the power distribution network and the continuous occurrence probability after the operation faults of the corresponding type are maintained are collected, and the frequency capable of automatically recovering after the operation faults occur in the operation process of the power distribution network and the continuous occurrence probability after the operation faults of the corresponding type are maintained are compared with an automatic recovery frequency threshold and a continuous occurrence probability threshold respectively: the automatic recovery is represented by automatic recovery of operation regulation of the equipment after the operation failure occurs and without manual maintenance;
if the frequency of automatic recovery after the occurrence of the operation faults in the operation process of the power distribution network does not exceed the automatic recovery frequency threshold, or the probability of continuous occurrence after the maintenance of the operation faults of the corresponding type exceeds the continuous occurrence probability threshold, judging that the influence of the faults in the operation process of the power distribution network is high, marking the corresponding operation faults as high-influence faults, and correspondingly transmitting the high-influence fault types to a server;
if the frequency of automatic recovery after the occurrence of the operation faults in the operation process of the power distribution network exceeds an automatic recovery frequency threshold value and the probability of continuous occurrence after the maintenance of the operation faults of the corresponding type does not exceed a continuous occurrence probability threshold value, judging that the influence of the faults in the operation process of the power distribution network is low, marking the corresponding operation faults as low-influence faults and correspondingly transmitting the low-influence fault types to a server;
the method comprises the steps that a server generates a risk control efficiency detection signal and sends the risk control efficiency detection signal to a risk control efficiency detection unit, the risk control efficiency detection unit detects the efficiency of fault risk control in the running process of the power distribution network after receiving the risk control efficiency detection signal, and judges whether the control efficiency is qualified when the fault risk exists in the running process of the power distribution network, so that the fault risk control of the power distribution network is detected, the efficiency of fault management and control of the power distribution network is improved, and the fault occurrence rate of the power distribution network is reduced;
analyzing the operation parameters of the power distribution network when the operation faults of the power distribution network occur, wherein the operation parameters of the power distribution network are represented as operation data of the power distribution network, such as parameters of time length, voltage, temperature and the like; if the frequency of the floating of the operation parameters of the power distribution network exceeds a floating frequency threshold value when the operation fault of the power distribution network occurs, marking the corresponding operation parameters as the influence parameters of the operation fault;
acquiring the interval duration of the influence parameter floating moment and the control moment in the running process of the power distribution network and the reduction of the floating speed after the influence parameter control floating, and marking the interval duration of the influence parameter floating moment and the control moment in the running process of the power distribution network and the reduction of the floating speed after the influence parameter control floating as JG and JD respectively; acquiring probability in a range of a control threshold of the influencing parameter value in the running process of the power distribution network, and marking the probability in the range of the control threshold of the influencing parameter value in the running process of the power distribution network as GL;
by the formula
Acquiring a risk control efficiency detection coefficient C in the running process of the power distribution network, wherein s1, s2 and s3 are preset proportional coefficients, s1 is more than s2 is more than s3 is more than 0, beta is a fault influence coefficient, and when the running fault type is a high influence fault type, the beta takes a value of 0.8; when the operation fault type is a low-influence fault type, the value of beta is 1.05;
comparing the risk control efficiency detection coefficient C with a risk control efficiency detection coefficient threshold value in the running process of the power distribution network:
if the risk control efficiency detection coefficient C exceeds the risk control efficiency detection coefficient threshold in the running process of the power distribution network, judging that the risk control efficiency detection is qualified in the running process of the power distribution network, generating a risk control efficiency detection qualified signal and sending the risk control efficiency detection qualified signal to a server;
if the risk control efficiency detection coefficient C in the running process of the power distribution network does not exceed the risk control efficiency detection coefficient threshold value, judging that the risk control efficiency detection is unqualified in the running process of the power distribution network, generating a risk control efficiency detection unqualified signal, sending the risk control efficiency detection unqualified signal to a server, and after the server receives the risk control efficiency detection unqualified signal, rectifying the risk control in the running process of the power distribution network, controlling the reaction time of the risk control and simultaneously improving the control speed.
A method for evaluating the running stability of an AC/DC hybrid power distribution network comprises the following steps:
step one, carrying out stability analysis on a power distribution network, judging whether the running process of the power distribution network is stable, obtaining stability analysis coefficients of the power distribution network in an execution time period through analysis, and comparing and judging whether the stability of the power distribution network is qualified according to the stability analysis coefficients of the power distribution network;
detecting the initial operation of the power distribution network when the stability of the power distribution network is unqualified, marking the execution speed of the power distribution task in the expected corresponding operation of the power distribution network as a power distribution task execution speed threshold, marking a time period from the speed increase of the power distribution task execution speed at the moment of starting operation to the power distribution task execution speed threshold as a static operation time period when the power distribution network starts to operate, marking the operation state of the power distribution network as static operation in the static operation time period, and judging whether the static detection of the power distribution network is qualified or not through static operation analysis;
thirdly, after static detection of the power distribution network is qualified, analyzing the operation fault of the power distribution network, and dividing the operation fault into a high-influence fault and a low-influence fault through analysis;
and fourthly, performing efficiency detection on risk control of different fault types in the operation process of the power distribution network, analyzing operation parameters of the power distribution network when the operation faults of the power distribution network occur, acquiring risk control efficiency detection coefficients in the operation process of the power distribution network through analysis, and comparing whether the risk control efficiency is normal or not according to the risk control efficiency detection coefficients.
The formulas are all formulas obtained by collecting a large amount of data for software simulation and selecting a formula close to a true value, and coefficients in the formulas are set by a person skilled in the art according to actual conditions;
when the power distribution network stability analysis method is used, the power distribution network is subjected to stability analysis through the power distribution network stability analysis unit, whether the operation process of the power distribution network is stable or not is judged, the stability analysis coefficient of the power distribution network in an execution time period is obtained through analysis, and a stability analysis qualified signal and a stability analysis unqualified signal are generated according to the stability analysis coefficient comparison of the power distribution network and are sent to a server; detecting the initial operation of the power distribution network through a static operation detection unit, marking the execution speed of the power distribution task in the corresponding operation expectation of the power distribution network as a power distribution task execution speed threshold, marking a time period from the speed increase of the power distribution task at the moment of starting operation to the power distribution task execution speed threshold as a static operation time period when the power distribution network starts to operate, marking the operation state of the power distribution network in the static operation time period as static operation, generating a static detection disqualification signal and a static detection qualification signal through static operation analysis, and sending the static detection disqualification signal and the static detection qualification signal to a server; after the static operation of the power distribution network is completed through the fault influence detection unit, the operation fault of the power distribution network is analyzed, the operation fault is divided into a high influence fault and a low influence fault through analysis, and the high influence fault and the low influence fault are sent to a server; and carrying out efficiency detection on fault risk control in the operation process of the power distribution network through a risk control efficiency detection unit, analyzing operation parameters of the power distribution network when operation faults of the power distribution network occur, obtaining risk control efficiency detection coefficients in the operation process of the power distribution network through analysis, comparing and generating a risk control efficiency detection unqualified signal and a risk control efficiency detection qualified signal according to the risk control efficiency detection coefficients, and sending the risk control efficiency detection unqualified signal and the risk control efficiency detection qualified signal to a server.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (5)
1. The utility model provides an alternating current-direct current hybrid distribution network operation stability evaluation system which characterized in that includes the server, and the server communication connection has:
the power distribution network stability analysis unit is used for carrying out stability analysis on the power distribution network, judging whether the operation process of the power distribution network is stable, obtaining stability analysis coefficients of the power distribution network in an execution time period through analysis, comparing and generating a stability analysis qualified signal and a stability analysis unqualified signal according to the stability analysis coefficients of the power distribution network, and sending the stability analysis qualified signal and the stability analysis unqualified signal to the server;
the static operation detection unit is used for detecting the initial operation of the power distribution network, marking the execution speed of the power distribution task in the corresponding operation expectation of the power distribution network as a power distribution task execution speed threshold, marking the time period from the speed increase of the power distribution task at the moment of starting operation to the power distribution task execution speed threshold as a static operation time period when the power distribution network starts to operate, marking the operation state of the power distribution network in the static operation time period as static operation, generating a static detection disqualification signal and a static detection qualification signal through static operation analysis, and sending the static detection disqualification signal to the server;
the fault influence detection unit is used for analyzing the operation faults of the power distribution network after the power distribution network completes static operation, dividing the operation faults into high-influence faults and low-influence faults through analysis and sending the high-influence faults and the low-influence faults to the server;
the risk control efficiency detection unit is used for detecting the efficiency of fault risk control in the running process of the power distribution network, analyzing the running parameters of the power distribution network when the running faults of the power distribution network occur, and marking the corresponding running parameters as the influence parameters of the running faults if the floating frequency of the running parameters of the power distribution network exceeds a floating frequency threshold value when the running faults of the power distribution network occur; acquiring a risk control efficiency detection coefficient in the running process of the power distribution network through analysis, comparing according to the risk control efficiency detection coefficient to generate a risk control efficiency detection unqualified signal and a risk control efficiency detection qualified signal, and sending the risk control efficiency detection unqualified signal and the risk control efficiency detection qualified signal to a server;
the operation process of the power distribution network stability analysis unit is as follows:
acquiring an operation time period of a power distribution network, marking the operation time period as an execution time period, constructing operation expectations of the power distribution network according to the task amount of the power distribution network in the execution time period, representing the task amount of the power distribution network as power distribution amount and operation time length, acquiring frequency which is not met by the operation expectations of the power distribution network in the execution time period and reduction amount of operation expected benefits when the operation expectations are not met, and marking the frequency which is not met by the operation expectations of the power distribution network in the execution time period and the reduction amount of the operation expected benefits when the operation expectations are not met as WPL and JDL respectively; collecting the probability that the operation is expected to be completed in the set time in the execution time period, and marking the probability that the operation is expected to be completed in the set time in the execution time period as WGL;
by the formula
Acquiring a stability analysis coefficient X of the power distribution network in an execution time period, wherein a1, a2 and a3 are preset proportionality coefficients, a1 is more than a2 and more than a3, alpha is an error correction factor, and the value is 0.986;
comparing the stability analysis coefficient X of the power distribution network in the execution time period with a stability analysis coefficient threshold value:
if the stability analysis coefficient X of the power distribution network in the execution time period exceeds the stability analysis coefficient threshold, judging that the stability analysis of the power distribution network in the execution time period is qualified, generating a stability analysis qualified signal and sending the stability analysis qualified signal to a server; and if the stability analysis coefficient X of the power distribution network in the execution time period does not exceed the stability analysis coefficient threshold value, judging that the stability analysis of the power distribution network in the execution time period is unqualified, generating a stability analysis unqualified signal and sending the stability analysis unqualified signal to a server.
2. An ac/dc hybrid distribution network operation stability assessment system according to claim 1, wherein the operation process of the static operation detection unit is as follows:
the distribution fault occurrence frequency and the controllable probability after the distribution fault occurrence in the distribution network static operation process are collected, and compared with a fault occurrence frequency threshold and a controllable probability threshold respectively:
if the occurrence frequency of the distribution fault exceeds a fault occurrence frequency threshold value in the static operation process of the distribution network or the controllable probability exceeds a controllable probability threshold value after the distribution fault occurs, generating a static detection failure signal and sending the static detection failure signal to a server; and if the occurrence frequency of the distribution faults does not exceed the fault occurrence frequency threshold value in the static operation process of the distribution network and the controllable probability of the distribution faults does not exceed the controllable probability threshold value, generating a static detection qualified signal and sending the static detection qualified signal to a server.
3. An ac/dc hybrid distribution network operation stability assessment system according to claim 1, wherein the operation process of the fault impact detection unit is as follows:
the frequency of automatic recovery after the occurrence of the operation fault and the probability of continuous occurrence after the maintenance of the operation fault of the corresponding type in the operation process of the power distribution network are acquired, and compared with an automatic recovery frequency threshold and a continuous occurrence probability threshold respectively:
if the frequency of automatic recovery after the occurrence of the operation faults in the operation process of the power distribution network does not exceed the automatic recovery frequency threshold, or the probability of continuous occurrence after the maintenance of the operation faults of the corresponding type exceeds the continuous occurrence probability threshold, marking the corresponding operation faults as high-influence faults, and correspondingly transmitting the high-influence fault types to a server;
if the frequency of automatic recovery after the occurrence of the operation faults in the operation process of the power distribution network exceeds an automatic recovery frequency threshold value and the probability of continuous occurrence after the maintenance of the operation faults of the corresponding type does not exceed a continuous occurrence probability threshold value, marking the corresponding operation faults as low-influence faults and correspondingly transmitting the low-influence fault types to a server.
4. An ac/dc hybrid distribution network operation stability assessment system according to claim 1, wherein the risk control efficiency detection unit operates as follows:
acquiring the interval duration of the influence parameter floating moment and the control moment in the running process of the power distribution network and the reduction of the floating speed after the influence parameter control floating, and marking the interval duration of the influence parameter floating moment and the control moment in the running process of the power distribution network and the reduction of the floating speed after the influence parameter control floating as JG and JD respectively; acquiring probability in a range of a control threshold of the influencing parameter value in the running process of the power distribution network, and marking the probability in the range of the control threshold of the influencing parameter value in the running process of the power distribution network as GL;
by the formula
Acquiring a risk control efficiency detection coefficient C in the running process of the power distribution network, wherein s1, s2 and s3 are preset proportional coefficients, s1 is more than s2 is more than s3 is more than 0, beta is a fault influence coefficient, and when the running fault type is a high influence fault type, the beta takes a value of 0.8; when the operation fault type is a low-influence fault type, the value of beta is 1.05;
comparing the risk control efficiency detection coefficient C with a risk control efficiency detection coefficient threshold value in the running process of the power distribution network:
if the risk control efficiency detection coefficient C exceeds the risk control efficiency detection coefficient threshold in the running process of the power distribution network, judging that the risk control efficiency detection is qualified in the running process of the power distribution network, generating a risk control efficiency detection qualified signal and sending the risk control efficiency detection qualified signal to a server;
if the risk control efficiency detection coefficient C in the running process of the power distribution network does not exceed the risk control efficiency detection coefficient threshold, judging that the risk control efficiency detection is unqualified in the running process of the power distribution network, generating a risk control efficiency detection unqualified signal and sending the risk control efficiency detection unqualified signal to a server.
5. The operational stability evaluation method of the AC/DC hybrid power distribution network is characterized by comprising the following steps of:
step one, carrying out stability analysis on a power distribution network, judging whether the operation process of the power distribution network is stable, acquiring the frequency of unsatisfied operation expectations of the power distribution network and the reduction of expected operation yields when the operation expectations are unsatisfied in an execution time period, and respectively marking the frequency of unsatisfied operation expectations of the power distribution network and the reduction of expected operation yields when the operation expectations are unsatisfied in the execution time period as WPL and JDL; collecting the probability that the operation is expected to be completed in the set time in the execution time period, and marking the probability that the operation is expected to be completed in the set time in the execution time period as WGL;
by the formula
Obtaining a stability analysis coefficient X of the power distribution network in an execution time period, wherein a1, a2 and a3 are preset proportional coefficients, a1 is more than a2 and more than a3, alpha is an error correction factor, the value is 0.986, and whether the stability of the power distribution network is qualified or not is judged according to the stability analysis coefficient comparison of the power distribution network;
detecting the initial operation of the power distribution network when the stability of the power distribution network is unqualified, marking the execution speed of the power distribution task in the expected corresponding operation of the power distribution network as a power distribution task execution speed threshold, marking a time period from the speed increase of the power distribution task execution speed at the moment of starting operation to the power distribution task execution speed threshold as a static operation time period when the power distribution network starts to operate, marking the operation state of the power distribution network as static operation in the static operation time period, and judging whether the static detection of the power distribution network is qualified or not through static operation analysis;
thirdly, after static detection of the power distribution network is qualified, analyzing the operation fault of the power distribution network, and dividing the operation fault into a high-influence fault and a low-influence fault through analysis;
step four, efficiency detection is carried out on risk control of different fault types in the running process of the power distribution network, running parameters of the power distribution network are analyzed when the running faults of the power distribution network occur, the interval duration of the floating moment and the control moment of the influencing parameters and the reduction amount of the floating speed after the floating of the influencing parameters in the running process of the power distribution network are collected, and the interval duration of the floating moment and the control moment of the influencing parameters and the reduction amount of the floating speed after the floating of the influencing parameters in the running process of the power distribution network are marked as JG and JD respectively; acquiring probability in a range of a control threshold of the influencing parameter value in the running process of the power distribution network, and marking the probability in the range of the control threshold of the influencing parameter value in the running process of the power distribution network as GL;
by the formula
Acquiring a risk control efficiency detection coefficient C in the running process of the power distribution network, wherein s1, s2 and s3 are preset proportional coefficients, s1 is more than s2 is more than s3 is more than 0, beta is a fault influence coefficient, and when the running fault type is a high influence fault type, the beta takes a value of 0.8;
when the operation fault type is a low-influence fault type, the beta value is 1.05, and whether the risk control efficiency is normal is compared according to the risk control efficiency detection coefficient.
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