CN105787812B - State analysis method of MMC flexible ring network control device - Google Patents
State analysis method of MMC flexible ring network control device Download PDFInfo
- Publication number
- CN105787812B CN105787812B CN201610151460.3A CN201610151460A CN105787812B CN 105787812 B CN105787812 B CN 105787812B CN 201610151460 A CN201610151460 A CN 201610151460A CN 105787812 B CN105787812 B CN 105787812B
- Authority
- CN
- China
- Prior art keywords
- state
- ring network
- control device
- network control
- flexible ring
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
Abstract
The invention discloses a state analysis method of an MMC flexible ring network control device. The state analysis method of the MMC flexible ring network control device comprises the following steps: classifying the states of the MMC flexible ring network control device, wherein one state is a normal working state; determining the corresponding probability of the MMC flexible ring network control device in each state; determining the probability that the MMC flexible ring network control device is in a normal working state according to the corresponding probability that the MMC flexible ring network control device is in each state; and judging whether the MMC flexible ring network control device meets the use requirement according to the probability that the MMC flexible ring network control device is in a normal working state. According to the state analysis method of the MMC flexible ring network control device, the problem that a method capable of quantitatively researching the reliability of the flexible ring network control device is needed in the prior art can be solved.
Description
Technical Field
The invention relates to the technical field of power distribution systems, in particular to a state analysis method of an MMC flexible ring network control device.
Background
Feeder interconnection switch in traditional 10kV distribution network all is cold standby state, in case distribution system breaks down, and load is in the power failure state before interconnection switch closure puts into stand-by power supply. With the continuous decrease of the tolerance degree of urban users to the power failure events, the speed of the standby power supply of the power distribution network needs to be increased as much as possible. A novel solution is to add a Modular Multi-level (MMC) flexible direct current ring network device in a traditional 10kV alternating current distribution network, and to put a standby power supply into the network in the shortest time by utilizing the characteristic that flexible direct current can be rapidly controlled. However, the flexible direct current ring network device is complex and still has a certain risk during operation, so a method capable of quantitatively researching the reliability of the device is needed, the normal operation probability and the fault probability of the device are analyzed, the analysis result is used as a reference for selecting the flexible direct current ring network device, and a proper flexible direct current ring network device is selected.
Disclosure of Invention
The invention aims to provide a state analysis method of an MMC flexible ring network control device, and aims to solve the problem that a method capable of quantitatively researching the reliability of the flexible ring network control device is needed in the prior art.
According to an aspect of the present invention, a method for analyzing a state of an MMC flexible ring network control device is provided, which includes:
classifying the states of the MMC flexible ring network control device, wherein one state is a normal working state;
determining the corresponding probability of the MMC flexible ring network control device in each fault state except the normal working state;
determining the probability of the MMC flexible ring network control device in a normal working state according to the corresponding probability of the MMC flexible ring network control device in each fault state;
and judging whether the MMC flexible ring network control device meets the use requirement according to the probability that the MMC flexible ring network control device is in a normal working state.
Preferably, the fault state of the MMC flexible ring network control device further includes at least one of:
main circuit failure, main circuit repair, main circuit installation, control circuit failure and maintenance.
Preferably, the step of determining the corresponding probability of the MMC flexible ring network control device in each state is performed by the following formula:
wherein A ═ λFμCμM(μRμS+μNμR+μNμS)+μNμRμS(λCμM+λMμC+μCμM)；
p1Is the probability that the device is in a normal working state; p is a radical of2Is the probability that the device is in the main circuit fault state; p is a radical of3The probability that the device is in the main circuit repair state; p is a radical of4Probability of the device being in a main circuit installation state; p is a radical of5The probability that the device is in a maintenance state is obtained; p is a radical of6Is the probability that the device is in a control circuit fault state; lambda [ alpha ]MThe number of times of overhaul of the device per year; lambda [ alpha ]FFailure rate, which is the failure of the device main circuit; lambda [ alpha ]CA failure rate for a device control circuit failure; mu.sREfficiency for discovering a main circuit fault and starting repair; mu.sSEfficiency for main circuit repair; mu.sNTo the efficiency of the installation device; mu.sCRestoring normal efficiency to the control circuit; mu.sMEfficiency of maintenance for the device.
Preferably, λFObtained by the following formula:
λF＝12(λ1+λ2)+2λ3
wherein λ1Is the single bridge arm failure rate formed by SM modules; lambda [ alpha ]2The fault rate of the series reactor on a single bridge arm is an inherent parameter of the element; lambda [ alpha ]3The failure rate of the direct-current side voltage-stabilizing capacitor is an element intrinsic parameter.
Preferably, λ1Obtained by the following formula:
wherein λSMIs a sheetThe failure rate of each SM module is an element intrinsic parameter; p is the probability that a single SM module does not fail in continuous working for N years; n is determined by the actual working life of the SM module; r is the single bridge arm reliability with m spare modules.
The state analysis method of the MMC flexible ring network control device can determine the probability that the MMC flexible ring network control device is in the normal working state according to the probability that the MMC flexible ring network control device is in each state, then compares the probability that the MMC flexible ring network control device is in the normal working state with the preset target probability, and determines whether the MMC flexible ring network control device meets the use reliability requirement or not, so that the reliability of the flexible ring network control device is quantitatively researched, and a reliable basis is provided for the selection of the MMC flexible ring network control device.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
fig. 1 is a first state transition diagram of an MMC flexible ring network control device according to an embodiment of the present invention;
fig. 2 is a second state transition diagram of the MMC flexible ring network control device according to the embodiment of the present invention;
fig. 3 is a flowchart of a state analysis method of the MMC flexible ring network control device according to an embodiment of the present invention.
Detailed Description
In the following detailed description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. However, it will be understood by those skilled in the art that the present invention may be practiced without these specific details. In other instances, well-known methods, procedures, components and circuits have not been described in detail so as not to obscure the present invention.
Referring to fig. 1 to fig. 3 in combination, according to an embodiment of the present invention, a method for analyzing a state of an MMC flexible ring network control device includes: classifying the states of the MMC flexible ring network control device, wherein one state is a normal working state; determining the corresponding probability of the MMC flexible ring network control device in each fault state; determining the probability that the MMC flexible ring network control device is in a normal working state according to the corresponding probability that the MMC flexible ring network control device is in each state; and judging whether the MMC flexible ring network control device meets the use requirement according to the probability that the MMC flexible ring network control device is in a normal working state.
By adopting the state analysis method, the probability that the MMC flexible ring network control device is in a normal working state within a certain period (for example, one year) can be conveniently and quickly determined, so that whether the MMC flexible ring network control device can meet the access requirement of a power distribution system or not is judged according to the probability that the MMC flexible ring network control device is in the normal working state, effective reference is provided for selection of the MMC flexible ring network control device, the selection efficiency of the MMC flexible ring network control device is improved, the possibility that the MMC flexible ring network control device breaks down after being selected is reduced, and the overall use performance of the power distribution system is improved.
Referring to fig. 1 in combination, the state of the MMC flexible ring network control apparatus further includes at least one of the following: main circuit failure, main circuit repair, main circuit installation, control circuit failure and maintenance. In this embodiment, the state of the MMC flexible ring network control device includes six types, namely normal operation, main circuit failure, main circuit repair, main circuit installation, control circuit failure and maintenance, the state of the MC flexible ring network control device mainly transfers among the six types of states, and the state of the MMC flexible ring network control device can be accurately analyzed by determining the probability of the MMC flexible ring network control device in the six types of states.
In this embodiment, the step of determining the corresponding probability of the MMC flexible ring network control device in each state is performed by the following formula:
wherein A ═ λFμCμM(μRμS+μNμR+μNμS)+μNμRμS(λCμM+λMμC+μCμM)；
p1Is the probability that the device is in a normal working state; p is a radical of2Is the probability that the device is in the main circuit fault state; p is a radical of3The probability that the device is in the main circuit repair state; p is a radical of4Probability of the device being in a main circuit installation state; p is a radical of5The probability that the device is in a maintenance state is obtained; p is a radical of6Is the probability that the device is in a control circuit fault state; lambda [ alpha ]MThe number of times of overhaul of the device per year; lambda [ alpha ]FFailure rate, which is the failure of the device main circuit; lambda [ alpha ]CA failure rate for a device control circuit failure; mu.sREfficiency for discovering a main circuit fault and starting repair; mu.sSEfficiency for main circuit repair; mu.sNTo the efficiency of the installation device; mu.sCRestoring normal efficiency to the control circuit; mu.sMEfficiency of maintenance for the device. Wherein divided by λFThe parameters other than these can be obtained statistically or experimentally.
As the main circuit of the MMC flexible ring network control device is an electric energy conversion link and comprises a plurality of elements, the whole device can be stopped due to the fault of any link, and the reliability parameter lambda of the main circuit can be obtained according to the relation of logical series connectionF，λFThis can be obtained by the following formula:
λF＝12(λ1+λ2)+2λ3
wherein λ1Is the single bridge arm failure rate formed by SM modules; lambda [ alpha ]2The fault rate of the series reactor on a single bridge arm is an inherent parameter of the element; lambda [ alpha ]3The failure rate of the direct-current side voltage-stabilizing capacitor is an element intrinsic parameter.
As the SM module of each bridge arm is designed with redundancy, if a single bridge arm is provided with n SM modules, wherein m SM modules are in standby state, lambda is1Can be obtained by the following formula:
wherein λSMFailure rate for a single SM module is an element intrinsic parameter; p is the probability that a single SM module does not fail in continuous working for N years; n is determined by the actual working life of the SM module; r is the reliability of a single bridge arm with m standby modules and can be determined by lambdaSMAnd (6) obtaining.
Through foretell mode, can confirm progressively that the flexible looped netowrk controlling means of MMC is in the probability of other five states except normal operating condition, then can be according to five probabilities calculated, confirm the probability that the flexible looped netowrk controlling means of MMC is in normal operating condition, then judge whether current flexible looped netowrk controlling means of MMC can satisfy distribution system's reliability requirement according to the probability that flexible looped netowrk controlling means of MMC is in normal operating condition, thereby for the selection of flexible looped netowrk controlling means of MMC provides reliable foundation, improve the reliability of whole distribution system after flexible looped netowrk controlling means of MMC inserts distribution system, improve distribution system's wholeness ability and operating stability.
On the basis of fig. 1, since states 2, 3, 4, and 6 all belong to fault states, they can be merged into one fault state to simplify the model, thus resulting in a typical three-state reliability model, as shown in fig. 2. From λ 'in FIG. 2'FIndicating failure rate of at least one failure of the device, passing through λ'F＝λC+λFCalculating; is prepared from mu'FIndicating the rate of recovery of the device from the failure by
And (4) calculating. Through simplifying the state model of the MMC flexible ring network control device, the state analysis complexity of the MMC flexible ring network control device can be reduced, and the state analysis efficiency of the MMC flexible ring network control device is improved.
The following describes a state analysis method of the MMC flexible ring network control device with reference to an example:
the known quantity represents a parameter which can be directly determined by a specific MMC flexible ring network control device, the unknown quantity represents an unknown parameter which needs to be determined according to the known parameter, and the unknown quantity can be obtained according to the known quantity through the method and the formula. The determined unknown quantity can indicate that the probability that the MMC flexible ring network control device is in the normal working state is p10.9967, the probability that the MMC flexible ring network control device meeting the demand of the power distribution system is in the normal working state is not lower than 0.99, because p1Higher than 0.99, therefore need not to carry out additional adjustment to this flexible looped netowrk controlling means of MMC, can satisfy current power distribution system's access requirement, this flexible looped netowrk controlling means of MMC can satisfy current power distribution system's use reliability requirement.
The above description of the embodiments is only intended to facilitate the understanding of the method of the invention and its core ideas; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (3)
1. A state analysis method for an MMC flexible ring network control device is characterized by comprising the following steps:
classifying the states of the MMC flexible ring network control device, wherein one state is a normal working state;
determining the corresponding probability of the MMC flexible ring network control device in each fault state except the normal working state;
determining the probability of the MMC flexible ring network control device in a normal working state according to the corresponding probability of the MMC flexible ring network control device in each fault state;
according to the probability that the MMC flexible ring network control device is in the normal working state, whether the MMC flexible ring network control device meets the use requirement is judged, and the fault state of the MMC flexible ring network control device further comprises at least one of the following conditions:
the method comprises the following steps of main circuit fault, main circuit repair, main circuit installation, control circuit fault and maintenance, wherein the step of determining the corresponding probability of the MMC flexible ring network control device in each state is carried out by the following formula:
wherein A ═ λFμCμM(μRμS+μNμR+μNμS)+μNμRμS(λCμM+λMμC+μCμM)；
p1Is the probability that the device is in a normal working state; p is a radical of2Is the probability that the device is in the main circuit fault state; p is a radical of3The probability that the device is in the main circuit repair state; p is a radical of4Probability of the device being in a main circuit installation state; p is a radical of5The probability that the device is in a maintenance state is obtained; p is a radical of6Is the probability that the device is in a control circuit fault state; lambda [ alpha ]MThe number of times of overhaul of the device per year; lambda [ alpha ]FFailure rate, which is the failure of the device main circuit; lambda [ alpha ]CA failure rate for a device control circuit failure; mu.sREfficiency for discovering a main circuit fault and starting repair; mu.sSEfficiency for main circuit repair; mu.sNTo the efficiency of the installation device; mu.sCRestoring normal efficiency to the control circuit; mu.sMEfficiency of maintenance for the device.
2. A state analysis method according to claim 1, characterized in that λFObtained by the following formula:
λF＝12(λ1+λ2)+2λ3
wherein λ1Is the single bridge arm failure rate formed by SM modules; lambda [ alpha ]2The fault rate of the series reactor on a single bridge arm is an inherent parameter of the element; lambda [ alpha ]3Of a dc-side voltage-stabilizing capacitorThe failure rate is an element intrinsic parameter.
3. A state analysis method according to claim 2, characterized in that λ1Obtained by the following formula:
wherein λSMFailure rate for a single SM module is an element intrinsic parameter; p is the probability that a single SM module does not fail in continuous working for N years; n is determined by the actual working life of the SM module; r is the single bridge arm reliability with m spare modules.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610151460.3A CN105787812B (en) | 2016-03-17 | 2016-03-17 | State analysis method of MMC flexible ring network control device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610151460.3A CN105787812B (en) | 2016-03-17 | 2016-03-17 | State analysis method of MMC flexible ring network control device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105787812A CN105787812A (en) | 2016-07-20 |
| CN105787812B true CN105787812B (en) | 2022-02-25 |
Family
ID=56393864
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610151460.3A Active CN105787812B (en) | 2016-03-17 | 2016-03-17 | State analysis method of MMC flexible ring network control device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105787812B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108616143B (en) * | 2018-05-15 | 2021-02-12 | 华北电力大学 | Flexible multi-state switch reliability modeling method considering voltage load sharing mechanism |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102570447A (en) * | 2011-12-13 | 2012-07-11 | 中国电力科学研究院 | Development stage division method for power grid |
| CN104376504A (en) * | 2014-11-06 | 2015-02-25 | 国家电网公司 | Power distribution system probability reliability assessing method based on analytical method |
| CN104898636A (en) * | 2015-03-15 | 2015-09-09 | 国家电网公司 | Safety and stability control device reliability analysis method in consideration of multistate operation |
| CN105137328A (en) * | 2015-07-24 | 2015-12-09 | 四川航天系统工程研究所 | Analog integrated circuit early-stage soft fault diagnosis method and system based on HMM |
-
2016
- 2016-03-17 CN CN201610151460.3A patent/CN105787812B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102570447A (en) * | 2011-12-13 | 2012-07-11 | 中国电力科学研究院 | Development stage division method for power grid |
| CN104376504A (en) * | 2014-11-06 | 2015-02-25 | 国家电网公司 | Power distribution system probability reliability assessing method based on analytical method |
| CN104898636A (en) * | 2015-03-15 | 2015-09-09 | 国家电网公司 | Safety and stability control device reliability analysis method in consideration of multistate operation |
| CN105137328A (en) * | 2015-07-24 | 2015-12-09 | 四川航天系统工程研究所 | Analog integrated circuit early-stage soft fault diagnosis method and system based on HMM |
Non-Patent Citations (1)
| Title |
|---|
| 模块化多电平换流器子模块故障特性和冗余保护;管敏渊等;《电力系统自动化》;20110825(第16期);全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN105787812A (en) | 2016-07-20 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| AU2004258144B2 (en) | Device for monitoring and charging of a selected group of battery cells | |
| CN110212645B (en) | Power consumption information acquisition terminal power failure event reporting method and device | |
| EP1967929A2 (en) | An intelligent aircraft secondary power distribution system that facilitates condition based maintenance | |
| EP3264550B1 (en) | Access control method for parallel direct current power supplies and device thereof | |
| CN110679054B (en) | Power storage system | |
| CN105680567B (en) | fault processing method, device and system of converter system | |
| CN106655158A (en) | Smart grid based distribution network self-healing control system and method | |
| CN103718414A (en) | Photovoltaic voltage regulation | |
| JPH09194153A (en) | Group supervisory operation control equipment and method therefor | |
| WO2020088449A1 (en) | Battery energy storage bms system enabling dual path-based information sampling and detection and protection control | |
| CN108287294A (en) | Distribution network failure region Fast Identification Method based on power failure distribution transforming and topological analysis | |
| CN103559580A (en) | Power distribution network analysis system and method | |
| CN105067959B (en) | Fault Locating Method under the conditions of ring network power supply | |
| CN109842372A (en) | A kind of photovoltaic module fault detection method and system | |
| CN105787812B (en) | State analysis method of MMC flexible ring network control device | |
| CN104993582A (en) | Electric power system control method and apparatus | |
| CN108919055A (en) | A kind of photovoltaic Fault Diagnosis Method for Distribution Networks of roof containing high density based on Petri network | |
| CN106451404A (en) | Power supply system and power supply configuration method thereof | |
| CN208955672U (en) | A kind of grid-connected photovoltaic system of more redundancy-types | |
| CN111009929A (en) | Storage battery pack string direct current confluence and pack string balance control device of energy storage system | |
| CN111834988B (en) | Method for switching small power supply in area spare power automatic switching connection mode | |
| CN104348153B (en) | Area power grid master-failure automatically turns power supply control and performs method | |
| CN113471950A (en) | Storage battery pack fault self-healing system and method for power plant station | |
| CN113096365B (en) | Central control lighting system and central control light source fault alarm method | |
| CN104767486B (en) | Convergence detecting method and system for convergence box and solar power station |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |