CN108281988A - Independent micro-capacitance sensor dynamic low-frequency Control of decreasing load method - Google Patents

Independent micro-capacitance sensor dynamic low-frequency Control of decreasing load method Download PDF

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Publication number
CN108281988A
CN108281988A CN201810166614.5A CN201810166614A CN108281988A CN 108281988 A CN108281988 A CN 108281988A CN 201810166614 A CN201810166614 A CN 201810166614A CN 108281988 A CN108281988 A CN 108281988A
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China
Prior art keywords
frequency
voltage
areas
capacitance sensor
situation
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CN201810166614.5A
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Chinese (zh)
Inventor
辛娜
张晓峰
张可欣
卞德振
谭毅
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Dagong Qingdao New Energy Material Technology Research Institute Co Ltd
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Dagong Qingdao New Energy Material Technology Research Institute Co Ltd
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Priority to CN201810166614.5A priority Critical patent/CN108281988A/en
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46Controlling of the sharing of output between the generators, converters, or transformers
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/24Arrangements for preventing or reducing oscillations of power in networks
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28Arrangements for balancing of the load in a network by storage of energy

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The present invention relates to a kind of independent micro-capacitance sensor dynamic low-frequency Control of decreasing load methods, belong to micro-capacitance sensor field of engineering technology.The present invention includes the following steps:Step 1:Microgrid energy management platform acquires the voltage U, frequency f and power P of each DG equipment in real time;Step 2:Monitoring voltage U and frequency f in real time judges whether to deviate normal region step 3:When voltage U is abnormal, enters step 1 after completing corresponding actions, resurvey;Step 4:When frequency f is abnormal, enters step 1 after completing corresponding actions, resurvey.The present invention can solve independent micro-capacitance sensor dynamic disturbances caused by load variations, enable a system to enter new steady s tate and stable operation again.

Description

Independent micro-capacitance sensor dynamic low-frequency Control of decreasing load method
Technical field
The present invention relates to a kind of independent micro-capacitance sensor dynamic low-frequency Control of decreasing load methods, belong to micro-capacitance sensor field of engineering technology.
Background technology
Frequency is one of most important index of power quality.When system normal operation, it is necessary to maintain 50HZ, ± 0.2HZ. When system frequency is excessive, generating equipment and electrical equipment can all be adversely affected.Conventional bulk power system, load variations are drawn Frequency shift (FS) by electric system frequency adjustment limit.When load variations cause dynamically to disturb, independent micro-capacitance sensor system The support united because lacking bulk power grid, system do not have the ability for keeping stable operation into new steady s tate and again.
Invention content
In view of the foregoing defects the prior art has, the present invention proposes a kind of independent micro-capacitance sensor dynamic low-frequency Control of decreasing load Method ensures system the purpose is to solve the frequency shift (FS) caused by load variations and dynamic disturbance in independent micro-grid system The stable operation of system.
Independent micro-capacitance sensor dynamic low-frequency Control of decreasing load method of the present invention, includes the following steps:
Step 1:Microgrid energy management platform acquires the voltage U, frequency f and power P of each DG equipment in real time;
Region division, including following region are carried out according to the stability of voltage U, frequency f:ALArea, AHArea, BLArea, BHArea, CL Area, CHArea and the areas D;
Wherein:
The areas A represent:Near rated voltage, frequency, voltage, frequency departure belong to fluctuation in power quality claimed range Normal range (NR);
The areas B represent:It slightly above rated voltage, frequency allowable fluctuation range, is adjusted by energy storage, the areas A can be returned to quickly Domain;
The areas C represent:Seriously beyond voltage, frequency allowable fluctuation range, system need to be made to stablize by cutting machine, cutting load;
The areas D represent:Beyond voltage, frequency controlled range, power grid is by big disturbance;
It is higher that H represents fluctuation;It is smaller that L represents fluctuation;
Step 2:Monitoring voltage U and frequency f in real time judges whether to deviate normal region, including following small step:
The first step:Judge whether voltage U deviates normal region:If voltage U normally if enter second step, if voltage U is not just Chang Ze enters step three;
Second step:Whether determination frequency f deviates normal region:If frequency f normally if enter step one, if frequency f is not just Chang Ze enters step four;
Step 3:When voltage U is abnormal, enters step 1 after completing corresponding actions, resurvey;
Step 4:When frequency f is abnormal, enters step 1 after completing corresponding actions, resurvey.
Further, the microgrid energy management platform includes man-machine communication's module, data analysis module, prediction module With decision optimization module.
Further, the DG equipment includes generating equipment and electrical equipment, and generating equipment includes photovoltaic system, wind-powered electricity generation system System and gas electricity generator, electrical equipment include load and energy-storage system.
Further, in the step 3, voltage U abnormal includes following five kinds of situations:
Situation one:Voltage U is in the areas BL:Increase idle output, to make up the no-power vacancy of system;
Situation two:Voltage U is in the areas BH:Idle output is reduced, active power output is improved, adapts to workload demand;
Situation three:Voltage U is in the areas CL:Delete it is inessential meet, to the maximum extent ensure important load power supply does not interrupt;
Situation four:Voltage U is in the areas CH:DG is restricted, ensures that current power is less than the 80% of all DG energy Maximum Power Outputs;
Situation five:Voltage U is in the areas D:Protection, Fault Isolation should take quickly excision failover technique, excision when failure Failure, recovery system are stablized.
Further, in the step 4, frequency f abnormal includes following five kinds of situations:
Situation one:Frequency f is in the areas BL:Energy storage is charged, and as disturbance > 30min, restricts DG;
Situation two:Frequency f is in the areas BH:Energy storage is charged, and as disturbance > 30min, deletes nonstandard load;
Situation three:Frequency f is in the areas CL:DG is restricted, ensures that current power is less than the 80% of all DG energy Maximum Power Outputs;
Situation four:Frequency f is in the areas CH:DG is restricted, ensures that current power is less than the 80% of all DG energy Maximum Power Outputs;
Situation five:Frequency f is in the areas D:DG is restricted, ensures that current power is less than the 80% of all DG energy Maximum Power Outputs.
Further, voltage U and frequency f is all located at A without departing from normal regionHArea, ALQu Shi illustrates independent micro-capacitance sensor When steady-state operation, load variations are little, and voltage U, the frequency f and power P of each DG generating equipments and electrical equipment continue a certain Average value nearby changes or varies less, and keeps energy storage smooth using the control of stable state constant frequency and constant voltage by microgrid energy management platform DG contributes.
The beneficial effects of the invention are as follows:It, can using independent micro-capacitance sensor dynamic low-frequency Control of decreasing load method of the present invention To solve independent micro-capacitance sensor dynamic disturbances caused by load variations, enables a system to enter new steady s tate and stablize again Operation.
Description of the drawings
Fig. 1 is the principle of the present invention schematic diagram.
Fig. 2 is the structural schematic diagram of DG equipment.
Specific implementation mode
In order to make the object of the invention, technical solution be more clearly understood, with reference to embodiment, the present invention is made further It is described in detail.
Embodiment 1:
As shown in Figure 1, the present invention proposes a kind of independent micro-capacitance sensor dynamic low-frequency Control of decreasing load method, the purpose is to solve The frequency shift (FS) caused by load variations and dynamic disturbance, ensure the stable operation of system in independent micro-grid system.
Independent micro-capacitance sensor dynamic low-frequency Control of decreasing load method of the present invention, includes the following steps:
Step 1:Microgrid energy management platform acquires each DG (Distributed/Decentralized in real time Generation:Distributed energy) equipment voltage U, frequency f and power P;
Region division, including following region are carried out according to the stability of voltage U, frequency f:ALArea, AHArea, BLArea, BHArea, CL Area, CHArea and the areas D;
Step 2:Monitoring voltage U and frequency f in real time judges whether to deviate normal region, including following small step:
The first step:Judge whether voltage U deviates normal region:If voltage U normally if enter second step, if voltage U is not just Chang Ze enters step three;
Second step:Whether determination frequency f deviates normal region:If frequency f normally if enter step one, if frequency f is not just Chang Ze enters step four;
Step 3:When voltage U is abnormal, enters step 1 after completing corresponding actions, resurvey;
Step 4:When frequency f is abnormal, enters step 1 after completing corresponding actions, resurvey.
As shown in Fig. 2, the microgrid energy management platform includes man-machine communication's module, data analysis module, prediction mould Block and decision optimization module.
The DG equipment includes generating equipment and electrical equipment, and generating equipment includes photovoltaic system, wind power system and combustion gas Generator, electrical equipment include load and energy-storage system.
In the step 3, voltage U abnormal includes following five kinds of situations:
Situation one:Voltage U is in the areas BL:Increase idle output, to make up the no-power vacancy of system;
Situation two:Voltage U is in the areas BH:Idle output is reduced, active power output is improved, adapts to workload demand;
Situation three:Voltage U is in the areas CL:Delete it is inessential meet, to the maximum extent ensure important load power supply does not interrupt;
Situation four:Voltage U is in the areas CH:DG is restricted, ensures that current power is less than the 80% of all DG energy Maximum Power Outputs;
Situation five:Voltage U is in the areas D:Protection, Fault Isolation should take quickly excision failover technique, excision when failure Failure, recovery system are stablized.
In the step 4, frequency f abnormal includes following five kinds of situations:
Situation one:Frequency f is in the areas BL:Energy storage is charged, and as disturbance > 30min, restricts DG;
Situation two:Frequency f is in the areas BH:Energy storage is charged, and as disturbance > 30min, deletes nonstandard load;
Situation three:Frequency f is in the areas CL:DG is restricted, ensures that current power is less than the 80% of all DG energy Maximum Power Outputs;
Situation four:Frequency f is in the areas CH:DG is restricted, ensures that current power is less than the 80% of all DG energy Maximum Power Outputs;
Situation five:Frequency f is in the areas D:DG is restricted, ensures that current power is less than the 80% of all DG energy Maximum Power Outputs.
Voltage U and frequency f is all located at A without departing from normal regionHArea, ALQu Shi illustrates independent micro-capacitance sensor steady-state operation When, load variations are little, and voltage U, the frequency f and power P of each DG generating equipments and electrical equipment are lasting attached in a certain average value Closely change or vary less, so that the smooth DG of energy storage is contributed using the control of stable state constant frequency and constant voltage by microgrid energy management platform.
Embodiment 2:
In step 1, specifically, electric voltage frequency stability region division is carried out according to following table one:
Table one
Wherein:
The areas A represent:Near rated voltage, frequency, voltage, frequency departure belong to fluctuation in power quality claimed range Normal range (NR);
The areas B represent:It slightly above rated voltage, frequency allowable fluctuation range, is adjusted by energy storage, the areas A can be returned to quickly Domain;
The areas C represent:Seriously beyond voltage, frequency allowable fluctuation range, system need to be made to stablize by cutting machine, cutting load;
The areas D represent:Beyond voltage, frequency controlled range, power grid is by big disturbance;
It is higher that H represents fluctuation;It is smaller that L represents fluctuation.
The beneficial effects of the invention are as follows:It, can using independent micro-capacitance sensor dynamic low-frequency Control of decreasing load method of the present invention To solve independent micro-capacitance sensor dynamic disturbances caused by load variations, enables a system to enter new steady s tate and stablize again Operation.
The present invention can be widely used in practical micro-capacitance sensor engineering or micro-capacitance sensor physical model experiment platform occasion.
The foregoing is merely presently preferred embodiments of the present invention and oneself, not with the present invention for limitation, it is all the present invention essence Impartial modifications, equivalent substitutions and improvements etc., should be included in the patent covering scope of the present invention made by within refreshing and principle.

Claims (6)

1. a kind of independent micro-capacitance sensor dynamic low-frequency Control of decreasing load method, which is characterized in that include the following steps:
Step 1:Microgrid energy management platform acquires the voltage U, frequency f and power P of each DG equipment in real time;
Region division, including following region are carried out according to the stability of voltage U, frequency f:ALArea, AHArea, BLArea, BHArea, CLArea, CHArea and the areas D;
Wherein:
The areas A represent:Near rated voltage, frequency, voltage, frequency departure are belonging to fluctuation just in power quality claimed range Normal range;
The areas B represent:It slightly above rated voltage, frequency allowable fluctuation range, is adjusted by energy storage, a-quadrant can be returned to quickly;
The areas C represent:Seriously beyond voltage, frequency allowable fluctuation range, system need to be made to stablize by cutting machine, cutting load;
The areas D represent:Beyond voltage, frequency controlled range, power grid is by big disturbance;
It is higher that H represents fluctuation;It is smaller that L represents fluctuation;
Step 2:Monitoring voltage U and frequency f in real time judges whether to deviate normal region, including following small step:
The first step:Judge whether voltage U deviates normal region:If voltage U normally if enter second step, if voltage U is abnormal Enter step three;
Second step:Whether determination frequency f deviates normal region:If frequency f normally if enter step one, if frequency f is abnormal Enter step four;
Step 3:When voltage U is abnormal, enters step 1 after completing corresponding actions, resurvey;
Step 4:When frequency f is abnormal, enters step 1 after completing corresponding actions, resurvey.
2. independent micro-capacitance sensor dynamic low-frequency Control of decreasing load method according to claim 1, which is characterized in that the micro-capacitance sensor Energy management platform includes man-machine communication's module, data analysis module, prediction module and decision optimization module.
3. independent micro-capacitance sensor dynamic low-frequency Control of decreasing load method according to claim 1, which is characterized in that the DG equipment Including generating equipment and electrical equipment, generating equipment includes photovoltaic system, wind power system and gas electricity generator, and electrical equipment includes Load and energy-storage system.
4. independent micro-capacitance sensor dynamic low-frequency Control of decreasing load method according to claim 1, which is characterized in that the step 3 In, voltage U abnormal includes following five kinds of situations:
Situation one:Voltage U is in the areas BL:Increase idle output, to make up the no-power vacancy of system;
Situation two:Voltage U is in the areas BH:Idle output is reduced, active power output is improved, adapts to workload demand;
Situation three:Voltage U is in the areas CL:Delete it is inessential meet, to the maximum extent ensure important load power supply does not interrupt;
Situation four:Voltage U is in the areas CH:DG is restricted, ensures that current power is less than the 80% of all DG energy Maximum Power Outputs;
Situation five:Voltage U is in the areas D:Protection, Fault Isolation should take quickly excision failover technique, cut off failure when failure, Recovery system is stablized.
5. independent micro-capacitance sensor dynamic low-frequency Control of decreasing load method according to claim 1 or 4, which is characterized in that the step In rapid four, frequency f abnormal includes following five kinds of situations:
Situation one:Frequency f is in the areas BL:Energy storage is charged, and as disturbance > 30min, restricts DG;
Situation two:Frequency f is in the areas BH:Energy storage is charged, and as disturbance > 30min, deletes nonstandard load;
Situation three:Frequency f is in the areas CL:DG is restricted, ensures that current power is less than the 80% of all DG energy Maximum Power Outputs;
Situation four:Frequency f is in the areas CH:DG is restricted, ensures that current power is less than the 80% of all DG energy Maximum Power Outputs;
Situation five:Frequency f is in the areas D:DG is restricted, ensures that current power is less than the 80% of all DG energy Maximum Power Outputs.
6. independent micro-capacitance sensor dynamic low-frequency Control of decreasing load method according to claim 5, which is characterized in that voltage U and frequency Rate f without departing from normal region, is all located at AHArea, ALQu Shi, when illustrating independent micro-capacitance sensor steady-state operation, load variations are little, respectively The voltage U of DG generating equipments and electrical equipment, frequency f and power P continue to change or vary less near a certain average value, The smooth DG of energy storage is set to contribute using the control of stable state constant frequency and constant voltage by microgrid energy management platform.
CN201810166614.5A 2018-02-28 2018-02-28 Independent micro-capacitance sensor dynamic low-frequency Control of decreasing load method Pending CN108281988A (en)

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Cited By (4)

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Publication number Priority date Publication date Assignee Title
CN110429614A (en) * 2019-07-12 2019-11-08 杭州电子科技大学 Simulate the distributed energy storage device control method for frequency of low-frequency load shedding control model
CN111064223A (en) * 2019-12-20 2020-04-24 远光软件股份有限公司 Micro-grid power quality control system and method based on edge calculation
CN111130138A (en) * 2020-01-02 2020-05-08 湖南大学 Multi-energy complementary microgrid off-grid stable operation control method and system
CN112636337A (en) * 2020-12-08 2021-04-09 南京首风智慧电力研究院有限公司 Dynamic identification and emergency power control strategy for large-disturbance fault of independent micro-grid

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CN105098775A (en) * 2015-08-25 2015-11-25 南方电网科学研究院有限责任公司 Micro-grid voltage stabilizing and controlling method and system
CN105429180A (en) * 2015-12-25 2016-03-23 重庆邮电大学 Frequency layered control method for diesel-wind-solar-battery micro-grid under off-grid and grid-connected modes

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CN104810842A (en) * 2015-04-10 2015-07-29 南方电网科学研究院有限责任公司 Independent micro-grid layered coordinated control method based on different time scales
CN105071441A (en) * 2015-08-25 2015-11-18 南方电网科学研究院有限责任公司 Stable frequency control method and system of microgrid
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Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110429614A (en) * 2019-07-12 2019-11-08 杭州电子科技大学 Simulate the distributed energy storage device control method for frequency of low-frequency load shedding control model
CN110429614B (en) * 2019-07-12 2020-10-23 杭州电子科技大学 Distributed energy storage device frequency control method simulating low-frequency load shedding control mode
CN111064223A (en) * 2019-12-20 2020-04-24 远光软件股份有限公司 Micro-grid power quality control system and method based on edge calculation
CN111064223B (en) * 2019-12-20 2021-06-18 远光软件股份有限公司 Micro-grid power quality control system and method based on edge calculation
CN111130138A (en) * 2020-01-02 2020-05-08 湖南大学 Multi-energy complementary microgrid off-grid stable operation control method and system
CN112636337A (en) * 2020-12-08 2021-04-09 南京首风智慧电力研究院有限公司 Dynamic identification and emergency power control strategy for large-disturbance fault of independent micro-grid

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