CN107785933A - A kind of new-energy grid-connected electric energy quality monitoring method based on Intelligent Recognition - Google Patents

A kind of new-energy grid-connected electric energy quality monitoring method based on Intelligent Recognition Download PDF

Info

Publication number
CN107785933A
CN107785933A CN201711110637.6A CN201711110637A CN107785933A CN 107785933 A CN107785933 A CN 107785933A CN 201711110637 A CN201711110637 A CN 201711110637A CN 107785933 A CN107785933 A CN 107785933A
Authority
CN
China
Prior art keywords
grid
monitoring
connected component
state
energy
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.)
Pending
Application number
CN201711110637.6A
Other languages
Chinese (zh)
Inventor
向德
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Foshan Xin Jin Science And Technology Co Ltd
Original Assignee
Foshan Xin Jin Science And Technology Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Foshan Xin Jin Science And Technology Co Ltd filed Critical Foshan Xin Jin Science And Technology Co Ltd
Priority to CN201711110637.6A priority Critical patent/CN107785933A/en
Publication of CN107785933A publication Critical patent/CN107785933A/en
Pending legal-status Critical Current

Links

Classifications

    • H02J3/383—
    • 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
    • H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00001—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
    • H02J3/386—
    • 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
    • Y02E10/50—Photovoltaic [PV] energy
    • Y02E10/56—Power conversion systems, e.g. maximum power point trackers
    • 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
    • Y04S10/12—Monitoring or controlling equipment for energy generation units, e.g. distributed energy generation [DER] or load-side generation
    • 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
    • Y04S10/52—Outage or fault management, e.g. fault detection or location

Landscapes

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

Abstract

The invention discloses a kind of new-energy grid-connected electric energy quality monitoring method based on Intelligent Recognition, has monitoring system, and system includes main control computer, data collecting system, signal transmitting module, communication module, signal modulation module；The power quality parameter of data collecting system collection new energy electric energy access terminal, device parameter, ambient parameter, and the parameter of above-mentioned collection is transmitted to main control computer by communication module；The power quality parameter, device parameter, ambient parameter that main control computer signal receiving unit receives the communication module transmission are sent into memory cell, and main control computer processing and analysis unit is handled Input Monitor Connector data.

Description

A kind of new-energy grid-connected electric energy quality monitoring method based on Intelligent Recognition
Technical field
It is more particularly to a kind of based on the new of Intelligent Recognition the invention belongs to power system new-energy grid-connected electric energy quality monitoring The grid-connected electric energy quality monitoring method of the energy.
Background technology
As the development of new techniques of power electronic equipment, new energy produce electricity the popularization of technology and the change of power grid structures, Due to being incorporated to the production capacity of new energy in power network, the factor for being allowed to electrical energy power quality disturbance in power network is continuously increased, and the quality of power supply changes Kind and raising is faced with huge challenge.Generation of electricity by new energy, the rapid growth of distributed power generation and quality of power supply interference source user Access system voltage class is improved constantly, and new challenge is proposed to operation of power networks.Advised according to power industry " 12 " power supply Draw, installed capacity of wind-driven power in 2015 is 100,000,000 kW, and photovoltaic is 2,000,000 kW.What State Grid Corporation of China issued in the recent period《On carrying out point The opinion of cloth electricity generation grid-connecting services（It is provisional）》Specified distribution formula power generation project can enjoy whole free grid-connected service, will Accelerate the development of distributed power generation.The generating such as wind-powered electricity generation, photovoltaic base is scattered in " three Norths " and southeastern coast, extensive new energy hair Electricity needs long distance delivery the stochastic volatility and intermittence of its power, to make the electric energy such as system frequency and voltage to load center Quality problems protrude.In terms of load access, the disturbance load such as high-speed railway, smelting using high power is directly accessed 220kV or 330kV Power network, the coverage of power transmission network quality is constantly expanded.
To improve power network quality of power supply level, influence of the electrical energy power quality disturbance to power network is reduced, has carried out power network electric energy Quality-monitoring, realize the basic functions such as data acquisition and report generation.But disturbance is believed using electric energy quality monitoring data The research of extraction, analysis and the identification of breath and the comprehensive assessment horizontal to operation of power networks etc. is deep not enough.For mesh The power quality problem of preceding power transmission network, need badly and establish electricity quality intelligent monitoring system.
The content of the invention
The purpose of the present invention is to overcome the shortcomings of prior art, designs a kind of new-energy grid-connected based on Intelligent Recognition Electric energy quality monitoring method.
With monitoring system, system includes main control computer, data collecting system, signal transmitting module, communication module, and signal is adjusted Molding block；Data collecting system collection new energy electric energy access terminal includes power quality parameter, device parameter, ambient parameter Energy state monitoring parameters, and the parameter of above-mentioned collection is transmitted to main control computer by communication module；Main control computer signal receives single The power quality parameter, device parameter, ambient parameter that member receives communication module transmission are sent into memory cell, at main control computer Reason analytic unit is handled Input Monitor Connector data, mainly divides three monitoring project, new-energy grid-connected component, grid-connected major network layers Secondary progress, is specifically included：
A, normalized submodule, based on being normalized to the new energy energy state Monitoring Data of collection and being The comprehensive state index for calculating main member provides data support, if grid-connected componentShared mxIndividual monitoring project, using monitoring instrumentToWhen individual monitoring project is monitored,, because the influence of temperature and humidity may produce monitoring variable error, draw Enter temperature correction factorWith humidity modifying factor,, whereinFor monitoring instrumentTo monitoring project Environment temperature when being monitored,With for monitoring instrumentThe normal temperature being applicable during monitoring,,H Wherein it is monitoring instrumentAmbient humidity when being monitored to monitoring project, H 0 For monitoring instrumentThe standard being applicable during monitoring Humidity, the normalized formula that the normalized submodule uses for:
Wherein,Represent theIndividual monitoring project is normalized the status monitoring amount after processing,, whenRepresented when close 0 It is in good condition,Represent that state is poor when close 1；ForThe original state monitoring variable of individual monitoring project,ForIndividual monitoring item Boundary value when mesh is in normal envelope and corresponds to optimum state,ForIndividual monitoring project is in normal condition model Boundary value when enclosing but being not belonging to optimum state；
B, main new-energy grid-connected component synthetical condition assessment submodule：For assessing the comprehensive state of main grid-connected component, if The status monitoring quantity set after all normalization of grid-connected component x state is influenceed to be combined into, synthetical condition assessment submodule The grid-connected component that block is takenComprehensive state indexCalculation formula it is as follows：
It is if allWhen,
If at least oneWhen,
Wherein,Represent grid-connected componentSynthetical condition assessment index,,For the status monitoring amount after normalization Corresponding to normal critical value,It is less than critical value for the status monitoring amount after normalizationWhen number,ForIndividual prison Survey project is in main memberIn significance level on weight factor,
When, weight factorWithNumber difference be scaled；
C, grid-connected component health condition judging submodule, for judging whether each grid-connected component of major network is in health status, sentence Determining principle is：If grid-connected componentThe probability of abnormal stateMore than the threshold value of setting, judge the main memberNot to be good for Health state, if grid-connected componentThe probability of abnormal stateNo more than the threshold value of setting,Span be [0.1,0.2], Judge the grid-connected componentFor health status, it is provided withThe comprehensive state index of the grid-connected component of individual sampleIt is derived from continuous Distribution, the grid-connected componentProbability in abnormal stateCalculation formula be：
Herein
Wherein,For arbitrfary pointThe cuclear density at place,,For sample standard deviation,For interquartile range；
D, grid-connected major network comprehensive assessment submodule：If grid-connected major network shares N number of grid-connected component, by grid-connected component health condition judging Knowable to submodule, grid-connected componentProbability in abnormal state is, wherein X=1,2, N, the synthesis shape of grid-connected major network State index B calculation formula is as follows：
,
In formula, Wx be significance level of x-th of grid-connected component in grid-connected major network weight factor, given threshold E, if B>E, Then grid-connected major network belongs to health status, and E span is [0.9,0.99]；
（5）Health status display alarm module, each grid-connected component for showing grid-connected major network be in abnormal state probability and Health status, and alarmed when the grid-connected component of grid-connected major network is in abnormality.
Preferably, the type of the new-energy grid-connected component can be the combination of wind-power electricity generation and/or photovoltaic generation.
Compared with prior art, its beneficial technique effect is the present invention：
1st, considering influences the apparatus factor of quality of power supply information, environmental factor；By to real-time quality of power supply information and history The inspection of quality of power supply model compares in database, can further improve the complete of electric energy quality monitoring in new-energy grid-connected Face property and security.
2nd, provide power quality supervisory information system overall target in a kind of new-energy grid-connected based on Intelligent Recognition and assess body System, three-dimensional, the multi-level quality of power supply evaluated in new-energy grid-connected.
Brief description of the drawings
Fig. 1 is the structure flow chart of the present invention.
Embodiment
With monitoring system, system includes main control computer, data collecting system, signal transmitting module, communication module, and signal is adjusted Molding block；Data collecting system collection new energy electric energy access terminal includes power quality parameter, device parameter, ambient parameter Energy state monitoring parameters, and the parameter of above-mentioned collection is transmitted to main control computer by communication module；Main control computer signal receives single The power quality parameter, device parameter, ambient parameter that member receives communication module transmission are sent into memory cell, at main control computer Reason analytic unit is handled Input Monitor Connector data, mainly divides three monitoring project, new-energy grid-connected component, grid-connected major network layers Secondary progress, is specifically included：
A, normalized submodule, based on being normalized to the new energy energy state Monitoring Data of collection and being The comprehensive state index for calculating main member provides data support, if grid-connected componentShared mxIndividual monitoring project, using monitoring instrumentToWhen individual monitoring project is monitored,, because the influence of temperature and humidity may produce monitoring variable error, draw Enter temperature correction factorWith humidity modifying factor,, whereinFor monitoring instrumentTo monitoring project Environment temperature when being monitored,With for monitoring instrumentThe normal temperature being applicable during monitoring,,H Wherein it is monitoring instrumentAmbient humidity when being monitored to monitoring project, H 0 For monitoring instrumentThe standard being applicable during monitoring Humidity, the normalized formula that the normalized submodule uses for:
Wherein,Represent theIndividual monitoring project is normalized the status monitoring amount after processing,, whenRepresented when close 0 It is in good condition,Represent that state is poor when close 1；ForThe original state monitoring variable of individual monitoring project,ForIndividual monitoring item Boundary value when mesh is in normal envelope and corresponds to optimum state,ForIndividual monitoring project is in normal condition model Boundary value when enclosing but being not belonging to optimum state；
B, main new-energy grid-connected component synthetical condition assessment submodule：For assessing the comprehensive state of main grid-connected component, if The status monitoring quantity set after all normalization of grid-connected component x state is influenceed to be combined into, synthetical condition assessment submodule The grid-connected component that block is takenComprehensive state indexCalculation formula it is as follows：
It is if allWhen,
If at least oneWhen,
Wherein,Represent grid-connected componentSynthetical condition assessment index,,For the status monitoring amount after normalization Corresponding to normal critical value,It is less than critical value for the status monitoring amount after normalizationWhen number,ForIndividual prison Survey project is in main memberIn significance level on weight factor,
When, weight factorWithNumber difference be scaled；
C, grid-connected component health condition judging submodule, for judging whether each grid-connected component of major network is in health status, sentence Determining principle is：If grid-connected componentThe probability of abnormal stateMore than the threshold value of setting, judge the main memberNot to be good for Health state, if grid-connected componentThe probability of abnormal stateNo more than the threshold value of setting,Span be [0.1,0.2], Judge the grid-connected componentFor health status, it is provided withThe comprehensive state index of the grid-connected component of individual sampleIt is derived from company Continuous distribution, the grid-connected componentProbability in abnormal stateCalculation formula be：
Herein
Wherein,For arbitrfary pointThe cuclear density at place,,For sample standard deviation,For interquartile range；
D, grid-connected major network comprehensive assessment submodule：If grid-connected major network shares N number of grid-connected component, by grid-connected component health condition judging Knowable to submodule, grid-connected componentProbability in abnormal state is, wherein X=1,2, N, the synthesis shape of grid-connected major network State index B calculation formula is as follows：
,
In formula, Wx be significance level of x-th of grid-connected component in grid-connected major network weight factor, given threshold E, if B>E, Then grid-connected major network belongs to health status, and E span is [0.9,0.99]；
（5）Health status display alarm module, each grid-connected component for showing grid-connected major network be in abnormal state probability and Health status, and alarmed when the grid-connected component of grid-connected major network is in abnormality.
Preferably, the type of new-energy grid-connected component can be the combination of wind-power electricity generation and/or photovoltaic generation.
The present invention is described in detail above, principle and embodiment party of the specific case used herein to the present invention Formula is set forth, and the explanation of above example is only intended to help the method and its core concept for understanding the present invention；It is meanwhile right In those of ordinary skill in the art, according to the thought of the present invention, change is had in specific embodiments and applications Part, in summary, this specification content should not be construed as limiting the invention.

Claims (2)

  1. A kind of 1. new-energy grid-connected electric energy quality monitoring method based on Intelligent Recognition, it is characterised in that：With monitoring system, it is System includes main control computer, data collecting system, signal transmitting module, communication module, signal modulation module；Data collecting system gathers New energy electric energy access terminal includes power quality parameter, device parameter, the energy state monitoring parameters of ambient parameter, and will be upper The parameter for stating collection is transmitted to main control computer by communication module；Main control computer signal receiving unit receives the communication module transmission Power quality parameter, device parameter, ambient parameter be sent into memory cell, main control computer processing and analysis unit is to Input Monitor Connector data Handled, mainly divide three monitoring project, new-energy grid-connected component, grid-connected major network levels to carry out, specifically include：
    A, normalized submodule, based on being normalized to the new energy energy state Monitoring Data of collection and being The comprehensive state index for calculating main member provides data support, if grid-connected componentShared mxIndividual monitoring project, using monitoring instrumentToWhen individual monitoring project is monitored,, because the influence of temperature and humidity may produce monitoring variable error, draw Enter temperature correction factorWith humidity modifying factor,, whereinFor monitoring instrumentTo monitoring project Environment temperature when being monitored,With for monitoring instrumentThe normal temperature being applicable during monitoring,,HWherein it is monitoring instrumentAmbient humidity when being monitored to monitoring project, H 0 For monitoring instrumentThe standard being applicable during monitoring Humidity, the normalized formula that the normalized submodule uses for:
    Wherein,Represent theIndividual monitoring project is normalized the status monitoring amount after processing,, whenRepresented when close 0 It is in good condition,Represent that state is poor when close 1；ForThe original state monitoring variable of individual monitoring project,ForIndividual monitoring item Boundary value when mesh is in normal envelope and corresponds to optimum state,ForIndividual monitoring project is in normal envelope But it is not belonging to boundary value during optimum state；
    B, main new-energy grid-connected component synthetical condition assessment submodule：For assessing the comprehensive state of main grid-connected component, if The status monitoring quantity set after all normalization of grid-connected component x state is influenceed to be combined into, synthetical condition assessment submodule The grid-connected component takenComprehensive state indexCalculation formula it is as follows：
    It is if allWhen,
    If at least oneWhen,
    Wherein,Represent grid-connected componentSynthetical condition assessment index,,For the status monitoring amount after normalization Corresponding to normal critical value,It is less than critical value for the status monitoring amount after normalizationWhen number,ForIt is individual Monitoring project is in main memberIn significance level on weight factor,
    When, weight factorWithNumber difference be scaled；
    C, grid-connected component health condition judging submodule, for judging whether each grid-connected component of major network is in health status, sentence Determining principle is：If grid-connected componentThe probability of abnormal stateMore than the threshold value of setting, judge the main memberNot to be good for Health state, if grid-connected componentThe probability of abnormal stateNo more than the threshold value of setting,Span be [0.1,0.2], Judge the grid-connected componentFor health status, it is provided withThe comprehensive state index of the grid-connected component of individual sampleIt is derived from continuous Distribution, the grid-connected componentProbability in abnormal stateCalculation formula be：
    Herein
    Wherein,For arbitrfary pointThe cuclear density at place,,For sample standard deviation,For interquartile range；
    D, grid-connected major network comprehensive assessment submodule：If grid-connected major network shares N number of grid-connected component, by grid-connected component health condition judging Knowable to submodule, grid-connected componentProbability in abnormal state is, wherein X=1,2, N, the synthesis of grid-connected major network State index B calculation formula is as follows：
    ,
    In formula, Wx be significance level of x-th of grid-connected component in grid-connected major network weight factor, given threshold E, if B>E, Then grid-connected major network belongs to health status, and E span is [0.9,0.99]；
    （5）Health status display alarm module, each grid-connected component for showing grid-connected major network be in abnormal state probability and Health status, and alarmed when the grid-connected component of grid-connected major network is in abnormality.
  2. 2. a kind of new-energy grid-connected electric energy quality monitoring method based on Intelligent Recognition according to claim 1, its feature It is：The type of the new-energy grid-connected component can be the combination of wind-power electricity generation and/or photovoltaic generation.
CN201711110637.6A 2017-11-12 2017-11-12 A kind of new-energy grid-connected electric energy quality monitoring method based on Intelligent Recognition Pending CN107785933A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201711110637.6A CN107785933A (en) 2017-11-12 2017-11-12 A kind of new-energy grid-connected electric energy quality monitoring method based on Intelligent Recognition

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201711110637.6A CN107785933A (en) 2017-11-12 2017-11-12 A kind of new-energy grid-connected electric energy quality monitoring method based on Intelligent Recognition

Publications (1)

Publication Number Publication Date
CN107785933A true CN107785933A (en) 2018-03-09

Family

ID=61432648

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201711110637.6A Pending CN107785933A (en) 2017-11-12 2017-11-12 A kind of new-energy grid-connected electric energy quality monitoring method based on Intelligent Recognition

Country Status (1)

Country Link
CN (1) CN107785933A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116761306A (en) * 2023-08-14 2023-09-15 华能山东发电有限公司烟台发电厂 Lighting optimization method and system for dual-purpose lighting device

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102394496A (en) * 2011-07-21 2012-03-28 浙江大学 Electric energy quality comprehensive assessment method of distributed generating system and micro power grid
CN105974273A (en) * 2016-07-26 2016-09-28 潘燕 Power distribution network fault positioning system
CN106058338A (en) * 2016-07-26 2016-10-26 潘燕 Detection, maintenance and equalization maintenance equipment for power battery pack
CN106059093A (en) * 2016-07-26 2016-10-26 潘燕 Smart substation health condition monitoring system

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102394496A (en) * 2011-07-21 2012-03-28 浙江大学 Electric energy quality comprehensive assessment method of distributed generating system and micro power grid
CN105974273A (en) * 2016-07-26 2016-09-28 潘燕 Power distribution network fault positioning system
CN106058338A (en) * 2016-07-26 2016-10-26 潘燕 Detection, maintenance and equalization maintenance equipment for power battery pack
CN106059093A (en) * 2016-07-26 2016-10-26 潘燕 Smart substation health condition monitoring system

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116761306A (en) * 2023-08-14 2023-09-15 华能山东发电有限公司烟台发电厂 Lighting optimization method and system for dual-purpose lighting device
CN116761306B (en) * 2023-08-14 2023-11-07 华能山东发电有限公司烟台发电厂 Lighting optimization method and system for dual-purpose lighting device

Similar Documents

Publication Publication Date Title
Ma et al. Optimal allocation of hybrid energy storage systems for smoothing photovoltaic power fluctuations considering the active power curtailment of photovoltaic
CN105403811B (en) Wind power plant power grid fault diagnosis method and device
CN108414848B (en) A kind of multi-period comprehensive pre-warning method of power quality containing distributed power distribution network
CN107039995A (en) A kind of distributed photovoltaic power access planing method for considering power quality problem
CN106384186A (en) Distributed new energy grid-connected power quality monitoring method and system
CN108199404A (en) The spectral clustering assemblage classification method of high permeability distributed energy resource system
CN106451418B (en) Photovoltaic plant divides group's equivalent modeling method online
CN109672215A (en) Based on load can time shift characteristic distributed photovoltaic dissolve control method
Ramu et al. An IoT‐based smart monitoring scheme for solar PV applications
CN117273284A (en) Abnormal data monitoring system for enterprise electricity balance
CN107785933A (en) A kind of new-energy grid-connected electric energy quality monitoring method based on Intelligent Recognition
CN113837466A (en) Localized intelligent power generation power prediction system based on multiple meteorological sources
Ji et al. Dynamic reactive power optimization of distribution network with distributed generation based on fuzzy time clustering
CN116316611B (en) Power supply method and system based on low-voltage transformer area
Zhu et al. Multi‐time‐scale robust economic dispatching method for the power system with clean energy
CN111061152B (en) Attack recognition method based on deep neural network and intelligent energy power control device
CN110363679A (en) Micro-capacitance sensor platform, management-control method, device, medium and electronic equipment
CN105958474A (en) Power transmission line dynamic capacity increasing method and system used for power grid regulation and control system
Ebrahimi et al. Stochastic scheduling of energy storage systems in harmonic polluted active distribution networks
Zhou et al. Secure and intelligent energy data management scheme for smart IoT devices
CN108233373B (en) Probability harmonic analysis method considering weather scene for distributed photovoltaic access power distribution network
Ghaffari et al. A power quality‐based framework for optimal siting and sizing of wind turbines by search space reduction via power losses and flicker emission sensitivity indices
Tian et al. Voltage and reactive power optimisation of offshore wind farms based on terminal voltage control mode of DFIG
CN113408892B (en) Layered cooperative regulation and control system for guaranteeing multi-energy complementary microgrid and regulation and control method thereof
CN110932308A (en) Distributed power supply grid-connected capacity management system and management method

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
WD01 Invention patent application deemed withdrawn after publication
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20180309