CN105223514A - The reliability determination methods of Large Copacity energy storage device - Google Patents
The reliability determination methods of Large Copacity energy storage device Download PDFInfo
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- CN105223514A CN105223514A CN201510662050.0A CN201510662050A CN105223514A CN 105223514 A CN105223514 A CN 105223514A CN 201510662050 A CN201510662050 A CN 201510662050A CN 105223514 A CN105223514 A CN 105223514A
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Abstract
A kind of reliability determination methods of Large Copacity energy storage device, energy-accumulating power station Automatic monitoring systems gather voltage, electric current, the power of each battery pile, battery race and battery cell, automatically the calculating of Large Copacity energy storage device reliability evaluation index is completed by computing module, then through limit value alarm module, evaluation index is carried out and the comparing of preset limit value, judge that whether index is abnormal, if abnormal, provide alarm prompt, historical storage is carried out to result of calculation and evaluation result, there is provided historical query, report making, alarm prompt function.The method achieve the judgement of the reliability index of Large Copacity energy storage station, alarm can be provided for during Indexes Abnormality, also greatly reduce the workload of operating personnel's manual calculations evaluation index in the past simultaneously, improve work efficiency, mistake manual calculations brought drops to minimum, improves the accuracy rate of result of calculation.
Description
Technical field
The invention belongs to power system transformer substation technical field of automation, particularly relate to the reliability determination methods of Large Copacity energy storage device.
Background technology
The reliability evaluation of high capacity cell energy storage device is an important content of management of electric power dependability, provides technical support to the statistics of high capacity cell energy storage device reliability, the operational management of analyzing and be evaluated as power station, battery energy storage station.
Traditional reliability evaluation mainly relies on artificial going to add up various calculating parameter, goes manual calculations according to the computing formula of each index, statistics and the process calculated all very loaded down with trivial details.And energy storage station needs all to calculate an evaluation index at set intervals, adds a lot of workloads.Owing to being artificial operation, the possibility of makeing mistakes is larger, and the result of calculating can not well be preserved, the result of calculation before cannot checking.And whether abnormal cannot evaluate index, cannot provide alarm prompt, be unfavorable for that operations staff notes abnormalities situation.The complexity that the present invention mainly solves statistics and calculates, and whether extremely automatic decision goes out index, provide alarm prompt, process is completely by programming automation process, only need operating personnel to input necessary parameter, remaining process full automation, and can store historical results, make form, check real-time, history curve, Threshold Crossing Alert etc.As required can being illustrated in visual result in supervisory control of substation interface, conveniently check.
Summary of the invention
The technical issues that need to address of the present invention: the reliability determination methods not having a kind of Large Copacity energy storage in existing Large Copacity energy-accumulating power station, do not have alarm prompt when reliability index is abnormal, and it is very unfavorable to run the long-term stability of equipment.
For solving the problems of the technologies described above, the present invention by the following technical solutions.
A kind of reliability determination methods of Large Copacity energy storage device, it is characterized in that: energy-accumulating power station Automatic monitoring systems gather voltage, electric current, the power of each battery pile, battery race and battery cell, automatically the calculating of Large Copacity energy storage device reliability evaluation index is completed by computing module, then through limit value alarm module, evaluation index is carried out and the comparing of preset limit value, judge that whether index is abnormal, if abnormal, provide alarm prompt, historical storage is carried out to result of calculation and evaluation result, there is provided historical query, report making, alarm prompt function.
A reliability determination methods for Large Copacity energy storage device, is characterized in that: described method comprises the steps:
(1) energy-accumulating power station Automatic monitoring systems gather battery pile, battery bunch, the electric current of battery cell, voltage and power;
(2) communication unit that interpolation one is virtual in energy-accumulating power station Automatic monitoring systems real-time database, 32 telemetry stations are added in this communication unit, each telemetry station is corresponding with a reliability evaluation index, and the another name of telemetry station is identical with the title of evaluation index;
(3) to energy-accumulating power station Automatic monitoring systems typing unplanned outage hour, forced outage number of times two parameters, wherein, described unplanned outage hour refers to that energy storage device is in the hourage of unplanned outage state, and forced outage number of times refers to that energy storage device is in the number of times sum of unplanned outage;
(4) in the graphical interfaces of energy-accumulating power station Automatic monitoring systems, draw these 32 telemetry stations, and the reliability evaluation index that association is corresponding, so that figure can show and refresh reliability evaluation index in real time;
(5) parameter of the typing of the electric current of the battery pile gathered according to step (1), battery bunch, battery cell, voltage and power and step (3) 32 reliability evaluation indexs corresponding to 32 telemetry stations calculate;
(6) result of calculation that step (5) obtains is saved in described real-time database, and result of calculation is mapped with the telemetry station added in step (4), be mapped in the telemetry station drawn in graphical interfaces;
(7) in described graphical interfaces, the result of calculation of each reliability evaluation index is compared with the corresponding threshold value preset, if be greater than threshold value, be judged as this reliability evaluation index exceeding standard, and the corresponding telemetry station in graphical interfaces carries out red display; When 8 index exceeding standards, send out energy storage device alerting signal; When 16 index exceeding standards, energy storage device needs maintenance of stopping transport immediately.
Compared with prior art, the invention has the beneficial effects as follows: the reliability the method achieving Large Copacity accumulator system judges, automatically alarm prompt can be provided when Indexes Abnormality, operations staff is facilitated to be positioned with rapidly abnormal equipment, thus quick solution failure problems, make index recover normal, and also greatly reduce the workload of operating personnel's manual calculations evaluation index in the past.
Accompanying drawing explanation
Fig. 1 is the reliability determination methods schematic flow sheet of Large Copacity energy storage of the present invention;
The system architecture schematic diagram that Fig. 2 adopts for realizing determination methods of the present invention.
Embodiment
Below according to Figure of description and in conjunction with instantiation to invention technical scheme be described in further detail.
Be illustrated in figure 2 the system architecture schematic diagram realizing determination methods of the present invention and adopt, the realization flow of whole method is described in figure, supervisory system gathers the data such as electric current, voltage and power, energy storage station on-the-spot operation maintenance personnel input energy storage station runs on-the-spot parameters, result, according to the known automatic result of calculation of reliability evaluation index calculate formula, is stored in real-time data base by computing module.Operate accordingly based on the data of thread in database such as figure, historical storage, form, result of calculation is sent to limit value alarm module simultaneously, after compare threshold, judge that whether index is abnormal, if abnormal, provide alarm prompt.
Can automatically calculate reliability evaluation index according to real time data and the data program manually inputted, result of calculation is saved in real-time database.While real-time exhibition, be aided with real-time curve, show result of calculation intuitively.While real-time database is preserved, result of calculation is kept in historical data base, by historical storage data, can obtain the history curve of calculating and make form etc.
Be the schematic flow sheet of the reliability determination methods of Large Copacity energy storage device as shown in Figure 1, its concrete steps are as follows:
Step 1: energy-accumulating power station Automatic monitoring systems gather battery pile, battery bunch, the electric current of battery cell, voltage and power;
The method of described step 1 is: energy-accumulating power station Automatic monitoring systems gather the data such as battery pile, battery bunch, the electric current of battery cell, voltage and power by IEC61850 agreement, and these data can be kept in real-time data base.
Step 2: add virtual communication unit
The method of the virtual communication unit of interpolation of described step 2 is: in the real-time database of energy-accumulating power station Automatic monitoring systems, add a virtual communication unit, 32 telemetry stations are added in this communication unit, each telemetry station is corresponding with a reliability evaluation index, and the another name of telemetry station is identical with the title of evaluation index.
Wherein 32 reliability evaluation indexs are as follows:
1, planned outage coefficient: (planned outage hour/statistics period hours) × 100%
2, unplanned outage coefficient: (unplanned outage hour/statistics period hours) × 100%
3, forced outage factor: (forced outage hour/statistics period hours) × 100%
4, availability coefficient: (energy-storage units is in upstate hour/statistics period hours) × 100%
5, operating factor: (energy-storage units is in running status hour/statistics period hours) × 100%
6, usage factor: (energy-storage units hair actual transmissions electricity amounts to into hours of operation/statistics period hours during mao max cap.) × 100%
7, meritorious power factor
8, idle power factor
9, forced outage rate: (forced outage hour/(forced outage hour+energy-storage units be in running status hour)) × 100%
10, EFOR
11, planned outage rate
12, unplanned outage rate
13, forced outage incidence
14, exposure: (hourage/energy-storage units that energy-storage units is in running status is in the hourage of upstate) × 100%
15, mean time to planned outage
16, average unplanned outage interval time
17, average planned outage hour
18, average unplanned outage hour
19, average available hours continuously
20, mean available hours between failures number
21, fiduciary level is started: (starting number of success/(number of success+frequency of failure)) × 100%
22, emergency starting fiduciary level: (emergency starting number of success/(emergency starting number of times)) × 100%
23, discharge and recharge coefficient
24, energy available rate
25, energy degree of unavailability
26, battery year crash rate: the total quantity of battery cell (in the battery cell quantity/battery system lost efficacy during statistics) × 100%
27, energy-storage units charge-discharge energy attenuation rate: (energy-storage units reality can begin at the beginning of discharge capacity/energy-storage units discharge capacity) × 100%
28, emergent meritorious power factor
29, emergent idle power factor
30, battery bunch annual failure coefficient
31, battery bunch annual available hours
32, emergent energy coefficient: (meritorious amount/(the actual discharge amount+actual charge volume) of emergent transmission) × 100%
Step 3: to energy-accumulating power station Automatic monitoring systems typing unplanned outage hour, forced outage number of times two parameters, wherein, described unplanned outage hour refers to that energy storage device is in the hourage of unplanned outage state, and forced outage number of times refers to that energy storage device is in the number of times sum of unplanned outage;
Step 4: draw remote measurement figure and associate telemetry station
In energy-accumulating power station Automatic monitoring systems, draw the display graphics of reliability index, and be associated with on the telemetry station in real-time database, when the remote measurement value in real-time database upgrades, display is refreshed automatically in interface, can see the change of reliability evaluation index intuitively.
Step 5: computing module Calculation Estimation index automatically
The method of described step 5 is: after completing step 4, the data that computing module can gather according to step 1 and the supplemental characteristic that step 3 manually inputs carry out reliability evaluation index and calculate, calculate reliability evaluation index, and result of calculation can be kept in real-time data base.
Step 6: result of calculation step 5 obtained is saved in the real-time database of energy-accumulating power station Automatic monitoring systems, be mapped with the telemetry station added in step (2), result is mapped in the telemetry station that step (4) draws in graphical interfaces, realizes the real-time display at interface.
Step 7: exceed limit value alarm display
The method of described step 7 is: in described graphical interfaces, the result of calculation of each reliability evaluation index is compared with the corresponding threshold value preset, if be greater than threshold value, be judged as this reliability evaluation index exceeding standard, and the corresponding telemetry station in graphical interfaces carries out red display; When 8 index exceeding standards, send out energy storage device alerting signal; When 16 index exceeding standards, energy storage device needs maintenance of stopping transport immediately.
Applicant has done detailed description and description in conjunction with Figure of description to embodiments of the invention; but those skilled in the art should understand that; above embodiment is only the preferred embodiments of the invention; detailed explanation is just in order to help reader to understand spirit of the present invention better; and be not limiting the scope of the invention; on the contrary, any any improvement of doing based on invention of the present invention spirit or modify all should drop within protection scope of the present invention.
Claims (3)
1. a reliability determination methods for Large Copacity energy storage device, is characterized in that:
Energy-accumulating power station Automatic monitoring systems gather voltage, electric current, the power of each battery pile, battery race and battery cell, automatically the calculating of Large Copacity energy storage device reliability evaluation index is completed by computing module, then through limit value alarm module, evaluation index is carried out and the comparing of preset limit value, judge that whether index is abnormal, if abnormal, provide alarm prompt, historical storage is carried out to result of calculation and evaluation result, historical query, report making are provided, alarm prompt function.
2. a reliability determination methods for Large Copacity energy storage device, is characterized in that: described method comprises the steps:
(1) energy-accumulating power station Automatic monitoring systems gather battery pile, battery bunch, the electric current of battery cell, voltage and power;
(2) communication unit that interpolation one is virtual in energy-accumulating power station Automatic monitoring systems real-time database, 32 telemetry stations are added in this communication unit, each telemetry station is corresponding with a reliability evaluation index, and the another name of telemetry station is identical with the title of evaluation index;
(3) to energy-accumulating power station Automatic monitoring systems typing unplanned outage hour, forced outage number of times two parameters, wherein, described unplanned outage hour refers to that energy storage device is in the hourage of unplanned outage state, and forced outage number of times refers to that energy storage device is in the number of times sum of unplanned outage;
(4) in the graphical interfaces of energy-accumulating power station Automatic monitoring systems, draw these 32 telemetry stations, and the reliability evaluation index that association is corresponding, so that figure can show and refresh reliability evaluation index in real time;
(5) parameter of the typing of the electric current of the battery pile gathered according to step (1), battery bunch, battery cell, voltage and power and step (3) 32 reliability evaluation indexs corresponding to 32 telemetry stations calculate;
(6) result of calculation that step (5) obtains is saved in described real-time database, and result of calculation is mapped with the telemetry station added in step (4), be mapped in the telemetry station drawn in graphical interfaces;
(7) in described graphical interfaces, the result of calculation of each reliability evaluation index is compared with the corresponding threshold value preset, if be greater than threshold value, be judged as this reliability evaluation index exceeding standard, and the corresponding telemetry station in graphical interfaces carries out red display; When 8 index exceeding standards, send out energy storage device alerting signal; When 16 index exceeding standards, energy storage device needs maintenance of stopping transport immediately.
3. reliability determination methods according to claim 2, is characterized in that:
Wherein 32 reliability evaluation indexs are as follows:
1, planned outage coefficient;
2, unplanned outage coefficient;
3, forced outage factor;
4, availability coefficient;
5, operating factor;
6, usage factor;
7, meritorious power factor;
8, idle power factor;
9, forced outage rate;
10, EFOR;
11, planned outage rate;
12, unplanned outage rate;
13, forced outage incidence;
14, exposure;
15, mean time to planned outage;
16, average unplanned outage interval time;
17, average planned outage hour;
18, average unplanned outage hour;
19, average available hours continuously;
20, mean available hours between failures number;
21, fiduciary level is started;
22, emergency starting fiduciary level;
23, discharge and recharge coefficient;
24, energy available rate;
25, energy degree of unavailability;
26, battery year crash rate;
27, energy-storage units charge-discharge energy attenuation rate;
28, emergent meritorious power factor;
29, emergent idle power factor;
30, battery bunch annual failure coefficient;
31, battery bunch annual available hours;
32, emergent energy coefficient.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106647658A (en) * | 2016-12-06 | 2017-05-10 | 鑫鹏源智能装备集团有限公司 | Workshop management method and system |
| CN114006723A (en) * | 2021-09-14 | 2022-02-01 | 上海纽盾科技股份有限公司 | Network security prediction method, device and system based on threat intelligence |
| CN116707147A (en) * | 2023-08-08 | 2023-09-05 | 深圳航天科创泛在电气有限公司 | Control method of distributed battery energy storage system and related equipment |
| CN117175567A (en) * | 2023-09-05 | 2023-12-05 | 南方电网调峰调频(广东)储能科技有限公司 | Method and system for abnormal positioning and reliability evaluation of energy storage power station equipment |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100327809A1 (en) * | 2008-02-29 | 2010-12-30 | Techno Core International Co., Ltd. | Charging apparatus and quality judging apparatus for packed battery |
| CN202939289U (en) * | 2012-10-29 | 2013-05-15 | 中国南方电网有限责任公司调峰调频发电公司 | Battery pack health state evaluation system |
| CN203376458U (en) * | 2013-07-19 | 2014-01-01 | 孟州卓伦光电科技有限公司 | Off-grid photovoltaic power station storage battery monitoring system |
| CN103606107A (en) * | 2013-08-21 | 2014-02-26 | 国家电网公司 | Wind power-solar power-energy storage combined power generation system equipment state assessment information system |
| CN104111388A (en) * | 2014-06-20 | 2014-10-22 | 国家电网公司 | Wind power plant energy storage testing system and evaluation method |
-
2015
- 2015-10-14 CN CN201510662050.0A patent/CN105223514B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100327809A1 (en) * | 2008-02-29 | 2010-12-30 | Techno Core International Co., Ltd. | Charging apparatus and quality judging apparatus for packed battery |
| CN202939289U (en) * | 2012-10-29 | 2013-05-15 | 中国南方电网有限责任公司调峰调频发电公司 | Battery pack health state evaluation system |
| CN203376458U (en) * | 2013-07-19 | 2014-01-01 | 孟州卓伦光电科技有限公司 | Off-grid photovoltaic power station storage battery monitoring system |
| CN103606107A (en) * | 2013-08-21 | 2014-02-26 | 国家电网公司 | Wind power-solar power-energy storage combined power generation system equipment state assessment information system |
| CN104111388A (en) * | 2014-06-20 | 2014-10-22 | 国家电网公司 | Wind power plant energy storage testing system and evaluation method |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106647658A (en) * | 2016-12-06 | 2017-05-10 | 鑫鹏源智能装备集团有限公司 | Workshop management method and system |
| CN114006723A (en) * | 2021-09-14 | 2022-02-01 | 上海纽盾科技股份有限公司 | Network security prediction method, device and system based on threat intelligence |
| CN114006723B (en) * | 2021-09-14 | 2023-08-18 | 上海纽盾科技股份有限公司 | Network security prediction method, device and system based on threat information |
| CN116707147A (en) * | 2023-08-08 | 2023-09-05 | 深圳航天科创泛在电气有限公司 | Control method of distributed battery energy storage system and related equipment |
| CN116707147B (en) * | 2023-08-08 | 2024-01-23 | 深圳航天科创泛在电气有限公司 | Control method of distributed battery energy storage system and related equipment |
| CN117175567A (en) * | 2023-09-05 | 2023-12-05 | 南方电网调峰调频(广东)储能科技有限公司 | Method and system for abnormal positioning and reliability evaluation of energy storage power station equipment |
| CN117175567B (en) * | 2023-09-05 | 2024-03-22 | 南方电网调峰调频(广东)储能科技有限公司 | Method and system for abnormal positioning and reliability evaluation of energy storage power station equipment |
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Effective date of registration: 20200608 Address after: Room 208, No. 100, Dongxing Road, Donghuan street, Panyu District, Guangzhou City, Guangdong Province Co-patentee after: Beijing Sifang Automation Co.,Ltd. Patentee after: SOUTHERN POWER GRID PEAK LOAD AND FREQUENCY REGULATION POWER GENERATION Co.,Ltd. Address before: 510635 No. 32 Longkou East Road, Guangzhou, Guangdong, Tianhe District Co-patentee before: Beijing Sifang Automation Co.,Ltd. Patentee before: Hong Fu Jin Precision Industry (ShenZhen) Co.,Ltd. |