CN106099991B - A kind of power grid wind electricity digestion capability appraisal procedure - Google Patents

A kind of power grid wind electricity digestion capability appraisal procedure Download PDF

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CN106099991B
CN106099991B CN201610442092.8A CN201610442092A CN106099991B CN 106099991 B CN106099991 B CN 106099991B CN 201610442092 A CN201610442092 A CN 201610442092A CN 106099991 B CN106099991 B CN 106099991B
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power grid
value
assessed
power
wind
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CN106099991A (en
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张阁
肖静
杨艺云
高立克
李小伟
肖园园
司传涛
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Electric Power Research Institute of Guangxi Power Grid Co Ltd
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
    • 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—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Energy or water supply
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/003—Load forecast, e.g. methods or systems for forecasting future load demand
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00—Energy generation through renewable energy sources
    • Y02E10/70—Wind energy
    • Y02E10/76—Power conversion electric or electronic aspects
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

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  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Economics (AREA)
  • Health & Medical Sciences (AREA)
  • Human Resources & Organizations (AREA)
  • Strategic Management (AREA)
  • Water Supply & Treatment (AREA)
  • General Health & Medical Sciences (AREA)
  • Power Engineering (AREA)
  • Marketing (AREA)
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  • Public Health (AREA)
  • Tourism & Hospitality (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Control Of Eletrric Generators (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The invention discloses a kind of power grid wind electricity digestion capability appraisal procedure, it is related to electric power network control technology field, methodological science, as a result effectively, the powerful guarantee stability of power grid improves safety coefficient.Drip irrigation device is：Power grid supply load and interconnection injection data to be assessed are obtained, determine that maximum load power value, minimum load performance number and interconnection maximum send performance number outside；Calculate the peak power generating value of regulating units and low ebb power generating value；Calculate the maximum booting capability value of regulating units；Calculate the minimum output value of regulating units；Calculate maximum wind digestion capability value；Assess whether power grid static parameter to be assessed is stablized；Dynamic fault emulation is carried out, assesses whether power grid dynamic parameter to be assessed is stablized.Present invention is mainly used for power grid wind electricity digestion capability assessments.

Description

A kind of power grid wind electricity digestion capability appraisal procedure
Technical field
The present invention relates to electric power network control technology field more particularly to a kind of power grid wind electricity digestion capability appraisal procedures.
Background technology
In recent years, new energy technology continues to develop, and is established one after another along with major wind-power electricity generation place, wind generating technology It has reached its maturity as wherein important component.The output of wind power generating set is significantly different from conventional hydroelectric generation or firepower Generating set, reason are that wind power plant is typically to be made of multiple small amount wind turbines, the output of entire wind power plant by The influence of many factors such as wind speed, wind direction, wake effect, i.e., the output of entire wind power plant cannot be simply according to multiple The accumulation process that small amount blower fan group is contributed, in addition to this, wind power output also have very big fluctuation.In view of the foregoing, it grinds Study carefully a kind of power grid wind electricity digestion capability appraisal procedure, that is, assess power grid and receive wind power plant installed capacity, be to area power grid Planning and development to entire power grid has great significance.
The prior art generally by establishing wind electricity digestion capability assessment models, coordinates related method for solving to realize to power grid wind The assessment of electric digestion capability：First, on the basis of history wind-powered electricity generation and load data, the random statistical rule of wind-powered electricity generation and load are excavated Rule, establishes wind electricity digestion capability assessment models；In conjunction with actual conditions using related method for solving, power grid wind electricity digestion energy is obtained Force value.
Above-mentioned wind electricity digestion capability appraisal procedure does not fully consider wind-power electricity generation access to network system stability It influences；Also the static security and dynamic security of power grid after being accessed without analysis wind-power electricity generation, therefore the power grid wind electricity digestion obtained Ability value is inaccurate, and validity is poor.
Invention content
The present invention provides a kind of power grid wind electricity digestion capability appraisal procedure, is not only commented from peak load regulation network ability angle science Estimate, calculate maximum wind digestion capability value, and energy is dissolved to the maximum wind for calculating gained from static and dynamic angle respectively Force value carries out stability and safety evaluation, methodological science, and as a result effectively, the powerful guarantee stability of power grid improves peace Overall coefficient.
In order to achieve the above objectives, the present invention adopts the following technical scheme that：
The present invention provides a kind of power grid wind electricity digestion capability appraisal procedure, including：
Power grid supply load and interconnection injection data to be assessed are obtained, determine maximum load power value PLmax, minimal negative Lotus performance number PLminPerformance number P is sent outside with interconnection maximumtie。
Calculate the peak power generating value of regulating units in power grid to be assessedWith low ebb power generating valueWherein described peak Power generating valueIt is the regulating units in the practical power generating value of peak hours, the low ebb power generating valueFor the peak regulation Practical power generating value of the unit in low ebb load.
The maximum booting capability value of the regulating units is calculated according to system reserve capacity
The minimum output value of the regulating units is calculated according to power grid minimum output coefficient to be assessed
Calculate power grid maximum wind digestion capability value P to be assessedwind。
With reference to above-mentioned, supply load and interconnection injection historical data in power grid preset time period to be assessed are obtained, is determined Maximum load power value PLmax, minimum load performance number PLminPerformance number P is sent outside with interconnection maximumtie。
With reference to above-mentioned, the peak power generating value of the regulating units is calculatedInstitute State the low ebb power generating value of regulating unitsWherein PauxiliaryFor power autonomous installation Capability value.
With reference to above-mentioned, the maximum booting capability value of the regulating units is calculated Wherein PreserveFor system reserve capacity value.
With reference to above-mentioned, the minimum output value of the regulating units is calculatedWherein β is Power grid minimum output coefficient to be assessed.
With reference to above-mentioned, power grid maximum wind digestion capability value to be assessed is calculated, including：
Calculate maximum wind digestion capability value
With reference to above-mentioned, further, the power grid wind electricity digestion capability appraisal procedure further includes：
The maximum wind digestion capability value is accessed into power grid to be assessed；
Assess whether power grid static parameter to be assessed is stablized.
With reference to above-mentioned, if the equal No-mistake Principle phenomenon of each branch, each transformer occurs in power grid to be assessed, power grid to be assessed is quiet State parameter stability；If occurring one or more branch overload phenomenon in power grid to be assessed, power grid static parameter to be assessed is stablized； If occurring one or more transformer overload phenomenons in power grid to be assessed, power grid static parameter to be assessed is unstable.
With reference to above-mentioned, described power grid wind electricity digestion capability appraisal procedure, further include：
Dynamic fault emulation is carried out, assesses whether power grid dynamic parameter to be assessed is stablized.
With reference to above-mentioned, carry out that three phase short circuit fault, impact load disturbance, wind turbine cuts machine failure and wind speed disturbs four kinds of dynamics Fault simulation assesses going out for the poor generator rotor angle in power grid to be assessed between each generating set, each bus nodes voltage and wind power plant Whether power is stablized.
The present invention provides a kind of power grid wind electricity digestion capability appraisal procedure, including：Obtain power grid supply load to be assessed and Interconnection injects data, determines that maximum load power value, minimum load performance number and interconnection maximum send performance number outside；It calculates and adjusts The peak power generating value of peak unit and low ebb power generating value；Calculate the maximum booting capability value of regulating units；Calculate regulating units most Low power generating value；Calculate maximum wind digestion capability value；Under N-1 case of constraint and without under N-1 case of constraint, assess respectively to be evaluated Estimate whether power grid static parameter is stablized；Dynamic fault emulation is carried out, assesses whether power grid dynamic parameter to be assessed is stablized, compared to The prior art, the present invention is not only from peak load regulation network ability angle Scientific evaluation, calculating maximum wind digestion capability value, but also respectively Stability and safety evaluation, method section are carried out to the maximum wind digestion capability value for calculating gained from static and dynamic angle It learns, as a result effectively, the powerful guarantee stability of power grid improves safety coefficient.
Description of the drawings
In order to illustrate the technical solution of the embodiments of the present invention more clearly, required use in being described below to embodiment Attached drawing be briefly described.
Fig. 1 is a kind of power grid wind electricity digestion capability appraisal procedure flow diagram in the embodiment of the present invention.
Specific embodiment
Below in conjunction with the attached drawing in the embodiment of the present invention, the technical solution in the embodiment of the present invention is carried out clear, complete Site preparation describes.Obviously, described embodiment is only part of the embodiment of the present invention, instead of all the embodiments.It is based on Embodiment in the present invention, those of ordinary skill in the art are obtained every other without creative efforts Embodiment shall fall within the protection scope of the present invention.
Embodiment
The embodiment of the present invention provides a kind of power grid wind electricity digestion capability appraisal procedure, as shown in Figure 1, including：
101st, power grid supply load and interconnection injection data to be assessed are obtained, determine maximum load power value, minimal negative Lotus performance number and interconnection maximum send performance number outside.
Wherein, supply load and interconnection injection historical data in power grid preset time period to be assessed are obtained, determines maximum Load power value PLmax, minimum load performance number PLminPerformance number P is sent outside with interconnection maximumtie.Preset time period can be according to treating Assessment power grid actual conditions are chosen, such as：One month, two months etc..
Below will be using power grid to be assessed as A urban distribution networks, preset time period is carries out briefly in April, 2016 It is bright：
Such as：A city supply loads in April and interconnection injection historical data are obtained, determines maximum load power value PLmax=1020MW, minimum load performance number PLmin=173.32MW, interconnection maximum send performance number P outsidetie=-3000MW.
102nd, the peak power generating value of regulating units and low ebb power generating value in power grid to be assessed are calculated；It contributes on wherein described peak It is worth the practical power generating value in peak hours for the regulating units, the low ebb power generating value is born for the regulating units in low ebb Practical power generating value during lotus.
In peak times of power consumption power grid often excess load, at this time in addition to the generating set of normal operation, it is also necessary to put into For other generating sets to meet peak times of power consumption demand, these generating sets are known as regulating units.
Wherein, the peak power generating value of regulating units is calculatedThe peak regulation machine The low ebb power generating value of groupPauxiliaryFor power autonomous installed capacity value, this implementation Example is with PauxiliaryThe example above is combined for=237MW to further illustrate：
Such as：A cities maximum load power in April value PLmax=1020MW, minimum load performance number PLmin= 173.32MW, interconnection maximum send performance number P outsidetieThe peak power generating value of=- 3000MW, then regulating unitsLow ebb power generating value
103rd, the maximum booting capability value of the regulating units is calculated according to system reserve capacity.
Wherein, the maximum booting capability value of regulating units is calculatedPreserveFor System reserve capacity value, including load is spare, emergency duty, overhaul reserve, national economy are spare etc., according to relevant regulations system Spare capacity value PreserveMinimum should be not less than the 20% of system peak load, and the present embodiment is with PreserveIt is combined for=204MW The example above further illustrates：
Such as：The peak power generating value of A cities regulating units in AprilThen the maximum of regulating units is opened Machine capability value
104th, the minimum output value of the regulating units is calculated according to power grid minimum output coefficient to be assessed.
Wherein, the minimum output value of regulating units is calculatedWherein β is electricity to be assessed Net minimum output coefficient, is usually determined by electrical network parameter, this combines the example above further explanation for sentencing β=40%：
Such as：The peak power generating value of A cities regulating units in AprilThen regulating units it is minimum go out Force value
105th, power grid maximum wind digestion capability value to be assessed is calculated.
Wherein, maximum wind digestion capability value is calculated
Such as：The low ebb power generating value of A cities regulating units in AprilRegulating units it is minimum Power generating valueThen maximum wind digestion capability value
106th, the maximum wind digestion capability value is accessed into power grid to be assessed.
Maximum wind digestion capability value according to gained is calculated accesses power grid to be assessed, such as：It is dissolved according to maximum wind Ability value accesses A urban distribution networks for 1341.52MW.
107th, it is whether steady under N-1 case of constraint and without power grid static parameter to be assessed under N-1 case of constraint, is assessed respectively It is fixed.If the equal No-mistake Principle phenomenon of each branch, each transformer occurs in power grid to be assessed, power grid static parameter to be assessed is stablized；If Occurs one or more branch overload phenomenon in power grid to be assessed, then power grid static parameter to be assessed is stablized；If power grid to be assessed Middle one or more transformer overload phenomenons occur, then power grid static parameter to be assessed is unstable.
108th, dynamic fault emulation is carried out, assesses whether each dynamic parameter of power grid to be assessed is stablized.
Wherein, three phase short circuit fault is carried out, impact load disturbs, wind turbine cuts machine failure and wind speed disturbs four kinds of dynamic faults Emulation, assessing the output of the poor generator rotor angle in power grid to be assessed between each generating set, each bus nodes voltage and wind power plant is No stabilization.Each dynamic parameter has corresponding normal range of operation, is determined according to actual electric network parameter, such as：Each bus nodes Voltage normal range of operation be more than 0.85p.u., and the time is less than 1s, and the frequency normal range of operation of each bus nodes is More than or equal to 49Hz, and threshold crossing time is less than 1s.When dynamic parameter each in power grid to be assessed is without departing from respectively corresponding to normal work Make range, then dynamic parameter is stablized；When some in power grid to be assessed or multiple dynamic parameters are beyond its correspondence normal work model It encloses, then dynamic parameter is unstable.
Herein it should be noted that：It, need to be to the maximum wind obtained by calculating when static parameter or unstable dynamic parameter Digestion capability value is adjusted, until when maximum wind digestion capability value after access adjusts, static parameter and dynamic parameter are equal Stablize.
The present invention provides a kind of power grid wind electricity digestion capability appraisal procedure, including：Obtain power grid supply load to be assessed and Interconnection injects data, determines that maximum load power value, minimum load performance number and interconnection maximum send performance number outside；It calculates and adjusts The peak power generating value of peak unit and low ebb power generating value；Calculate the maximum booting capability value of regulating units；Calculate regulating units most Low power generating value；Calculate maximum wind digestion capability value；Under N-1 case of constraint and without under N-1 case of constraint, assess respectively to be evaluated Estimate whether power grid static parameter is stablized；Dynamic fault emulation is carried out, assesses whether power grid dynamic parameter to be assessed is stablized, compared to The prior art, the present invention is not only from peak load regulation network ability angle Scientific evaluation, calculating maximum wind digestion capability value, but also respectively Stability and safety evaluation, method section are carried out to the maximum wind digestion capability value for calculating gained from static and dynamic angle It learns, as a result effectively, the powerful guarantee stability of power grid improves safety coefficient.
The above description is merely a specific embodiment, but protection scope of the present invention is not limited thereto, any Those familiar with the art in the technical scope disclosed by the present invention, all should by the change or replacement that can be readily occurred in It is included within the scope of the present invention.Therefore, protection scope of the present invention should using the scope of the claims as It is accurate.

Claims (6)

1. a kind of power grid wind electricity digestion capability appraisal procedure, which is characterized in that including：
Power grid supply load and interconnection injection data to be assessed are obtained, determine maximum load power value PLmax, minimum load power Value PLminPerformance number P is sent outside with interconnection maximumtie；
Calculate the peak power generating value of regulating units in power grid to be assessedWith low ebb power generating valueIt contributes on wherein described peak ValueIt is the regulating units in the practical power generating value of peak hours, the low ebb power generating valueFor the regulating units Practical power generating value in low ebb load；
Calculate the peak power generating value of regulating units in power grid to be assessedWith low ebb power generating valueIncluding：
Calculate the peak power generating value of the regulating units The low ebb of the regulating units Power generating value Wherein PauxiliaryFor power autonomous installed capacity value；According to system reserve The maximum booting capability value of regulating units described in calculation of capacity
The maximum booting capability value of the regulating units is calculated according to system reserve capacityIncluding：
Calculate the maximum booting capability value of the regulating units Wherein PreserveIt is standby for system Use capability value；
The minimum output value of the regulating units is calculated according to power grid minimum output coefficient to be assessed
The minimum output value of the regulating units is calculated according to power grid minimum output coefficient to be assessedIncluding：
Calculate the minimum output value of the regulating units Wherein β is power grid minimum output to be assessed Coefficient；
Calculate power grid maximum wind digestion capability value P to be assessedwind；
Calculate power grid maximum wind digestion capability value P to be assessedwind, including：
Calculate maximum wind digestion capability value Pwind：
2. power grid wind electricity digestion capability appraisal procedure according to claim 1, it is characterised in that：
Supply load and interconnection injection historical data in power grid preset time period to be assessed are obtained, determines maximum load power value PLmax, minimum load performance number PLminPerformance number P is sent outside with interconnection maximumtie。
3. power grid wind electricity digestion capability appraisal procedure according to claim 1, which is characterized in that further include：
The maximum wind digestion capability value is accessed into power grid to be assessed；
Assess whether power grid static parameter to be assessed is stablized.
4. power grid wind electricity digestion capability appraisal procedure according to claim 3, which is characterized in that it is quiet to assess power grid to be assessed Whether state voltage is stablized, including：
If the equal No-mistake Principle phenomenon of each branch, each transformer occurs in power grid to be assessed, power grid static parameter to be assessed is stablized；If Occurs one or more branch overload phenomenon in power grid to be assessed, then power grid static parameter to be assessed is stablized；If power grid to be assessed Middle one or more transformer overload phenomenons occur, then power grid static parameter to be assessed is unstable.
5. power grid wind electricity digestion capability appraisal procedure according to claim 3, which is characterized in that further include：Into Mobile state Fault simulation, assesses whether power grid dynamic parameter to be assessed is stablized.
6. power grid wind electricity digestion capability appraisal procedure according to claim 5, it is characterised in that：Carry out three-phase shortcircuit event Barrier, impact load disturbance, wind turbine cuts machine failure and wind speed disturbs four kinds of dynamic fault emulation, assesses and respectively generates electricity in power grid to be assessed Generator rotor angle between unit is poor, whether the output of each bus nodes voltage and wind power plant is stablized.
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CN107609732B (en) * 2017-07-31 2022-09-02 中国电力科学研究院 Wind power consumption potential determination method and system
CN107591798B (en) * 2017-08-23 2020-08-07 湖北省电力勘测设计院有限公司 Safety stability evaluation method for isolated power grid
CN108062597A (en) * 2017-11-30 2018-05-22 国网天津市电力公司 A kind of electric system new energy dissolves electricity computational methods
CN108258721A (en) * 2017-12-30 2018-07-06 国家电网公司华北分部 Wind electricity digestion capability acquisition methods and system under a kind of unit safety constraint
CN112417643B (en) * 2020-10-13 2023-05-30 国网山东省电力公司电力科学研究院 Thermal power generating unit maximum output real-time evaluation method and system based on blower current

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CN105528466A (en) * 2014-09-28 2016-04-27 国家电网公司 Wind power optimal planning modeling method considering adaptability and economy of power system
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