CN114243902A - Power grid monitoring method containing new energy - Google Patents

Power grid monitoring method containing new energy Download PDF

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Publication number
CN114243902A
CN114243902A CN202111364953.2A CN202111364953A CN114243902A CN 114243902 A CN114243902 A CN 114243902A CN 202111364953 A CN202111364953 A CN 202111364953A CN 114243902 A CN114243902 A CN 114243902A
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Prior art keywords
power
distribution
node
power grid
power transmission
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CN202111364953.2A
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Inventor
闫怀东
沙骏
冯定东
胥峥
柏晶晶
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Yancheng Power Supply Co of State Grid Jiangsu Electric Power Co Ltd
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Yancheng Power Supply Co of State Grid Jiangsu Electric Power Co Ltd
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Priority to CN202111364953.2A priority Critical patent/CN114243902A/en
Publication of CN114243902A publication Critical patent/CN114243902A/en
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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
    • 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
    • H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
    • H02J13/00036—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for the elements or equipment being or involving switches, relays or circuit breakers
    • H02J13/0004—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for the elements or equipment being or involving switches, relays or circuit breakers involved in a protection system
    • 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
    • H02J3/24—Arrangements for preventing or reducing oscillations of power in networks
    • H02J3/241—The oscillation concerning frequency
    • 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
    • H02J3/466—Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given 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
    • Y02E10/50—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
    • Y04S10/123—Monitoring or controlling equipment for energy generation units, e.g. distributed energy generation [DER] or load-side generation the energy generation units being or involving renewable energy sources

Abstract

The invention provides a power grid monitoring method comprising new energy, which comprises the following steps: (1): collecting the power transmission and distribution voltage signals, current signals, voltage signals and current signals of each node and energy storage electric quantity of the power grid; the new energy has active power output; (2): calculating the transmission and distribution electric power of the power grid; (3): performing conventional judgment according to the power transmission and distribution voltage signal, the power transmission and distribution current signal, the node voltage signal, the node current signal and the power grid power transmission and distribution electric power; (4): calculating the branch power; (5): judging whether the branch power is normal or not; (6): performing energy storage safety judgment according to the energy storage electric quantity; (7): calculating the frequency deviation generated by the new energy output fluctuation; (8): and judging whether the frequency deviation is abnormal or not. The invention provides a power grid monitoring method containing new energy, which can monitor the state of a power grid in real time and ensure safe and reliable work of the power grid.

Description

Power grid monitoring method containing new energy
Technical Field
The invention belongs to the technical field of power monitoring, and particularly relates to a power grid monitoring method containing new energy.
Background
At present, new energy power generation is developed rapidly, but uncertain factors such as volatility and randomness are brought after high-proportion new energy is accessed, and the problems of voltage fluctuation, equipment overload, electric energy quality reduction and the like can be caused due to overlarge and severe fluctuation of power flow reverse power of a power grid in a load valley period.
The new energy is taken as clean energy to play a positive and effective role in energy conservation and emission reduction. However, new energy such as photovoltaic and wind power is affected by factors such as weather and regions, has the characteristics of strong randomness and uncertainty, and belongs to a non-schedulable power generation form, so that the scale of the power grid connected to the region is larger and larger along with the power generation of the new energy such as photovoltaic and wind power, and therefore the power grid needs to be effectively monitored.
The invention provides a power grid monitoring method comprising new energy, which is used for monitoring power transmission and distribution information, energy storage and new energy information, calculating frequency deviation generated by branch power and new energy output fluctuation, judging possible abnormity of a power grid, realizing effective power grid monitoring and preventing the power grid from being abnormal due to new energy access.
Disclosure of Invention
The invention provides a power grid monitoring method containing new energy, which can monitor the state of a power grid in real time and ensure safe and reliable work of the power grid.
The invention specifically relates to a power grid monitoring method containing new energy, which comprises the following steps:
step (1): collecting the power transmission and distribution voltage signals, current signals, voltage signals and current signals of each node and energy storage electric quantity of the power grid; the new energy has active power output;
step (2): calculating the transmission and distribution electric power of the power grid;
and (3): performing conventional judgment according to the power transmission and distribution voltage signal, the power transmission and distribution current signal, the node voltage signal, the node current signal and the power grid power transmission and distribution electric power;
and (4): calculating the branch power;
and (5): judging whether the branch power is normal or not;
and (6): performing energy storage safety judgment according to the energy storage electric quantity;
and (7): calculating the frequency deviation generated by the new energy output fluctuation;
and (8): and judging whether the frequency deviation is abnormal or not.
The specific method for carrying out conventional judgment according to the power transmission and distribution voltage signal, the power transmission and distribution current signal, the branch voltage signal, the branch current signal and the power grid power transmission and distribution electric power comprises the following steps:
judging whether the power transmission and distribution voltage signal is in a power transmission and distribution voltage reference range, if so, judging that the power transmission and distribution voltage is normal; if not, the power transmission and distribution voltage is abnormal;
judging whether the power transmission and distribution current signal is in a power transmission and distribution current reference range, if so, judging that the power transmission and distribution current is normal; if not, the power transmission and distribution current is abnormal;
judging whether the node voltage signal is in a node voltage reference range or not, if so, judging that the node voltage is normal; if not, the node voltage is abnormal;
judging whether the node current signal is in a node current reference range or not, if so, judging that the node current is normal; if not, the node current is abnormal;
judging whether the power transmission and distribution electric power of the power grid is in a load power reference range, if so, judging that the power transmission and distribution electric power of the power grid is proper; if the load power is larger than the load power reference range, the power transmission and distribution power of the power grid is excessive; and if the load power is smaller than the load power reference range, the electric power transmission and distribution of the power grid is insufficient.
The algorithm of the branch power is as follows:
Figure BDA0003360274140000021
wherein N is the number of nodes of the power grid, GijIs the real part of i row and j column in the node admittance matrix, BijIs the imaginary part of i row and j column in the node admittance matrix, U (i, t) is the voltage amplitude of the node i at the time t, and U (j, t) is the node at the time tAmplitude of voltage at point j, θijAnd (t) is the phase angle difference between the two ends of the branch ij at the time t.
The specific method for judging whether the branch power is normal is as follows: judging whether the branch power is greater than a branch power reference value, if so, the branch power is high; if not, the branch circuit power is normal.
The specific method for performing energy storage safety judgment according to the energy storage electric quantity comprises the following steps:
and judging whether the energy storage electric quantity is lower than an energy storage electric quantity reference value or not, wherein the energy storage device is in a discharge state, and if so, the energy storage device is insufficient in energy storage.
The algorithm for calculating the frequency deviation generated by the new energy output fluctuation is as follows:
Figure BDA0003360274140000022
wherein λNIs the new energy fault power fluctuation degree coefficient, PNFor the rated output power of the new energy, S is the number of conventional energy units, TkTo express the frequency modulation capability of the conventional energy unit, KTkIs the power frequency characteristic of the conventional energy unit K, KNThe power frequency characteristic of the new energy source unit.
If the conventional energy source unit has primary frequency modulation capability TkTaking a value of 1, if the conventional energy source unit does not have primary frequency modulation capability TkThe value is 0.
The specific method for judging whether the frequency deviation is abnormal comprises the following steps:
judging whether the frequency deviation is smaller than a frequency deviation reference value or not, if so, judging that the power grid is normal; if not, the power grid is abnormal.
Compared with the prior art, the beneficial effects are: the power grid monitoring method monitors power transmission and distribution information, energy storage and new energy information, calculates frequency deviation generated by branch power and new energy output fluctuation, judges possible abnormity of the power grid and realizes effective power grid monitoring.
Drawings
Fig. 1 is a flowchart illustrating a method for monitoring a power grid including new energy according to the present invention.
Detailed Description
The following describes in detail a specific embodiment of a method for monitoring a power grid including new energy according to the present invention with reference to the accompanying drawings.
As shown in fig. 1, the power grid monitoring method of the present invention includes the following steps:
step (1): collecting the power transmission and distribution voltage signals, current signals, voltage signals and current signals of each node and energy storage electric quantity of the power grid; the new energy has active power output;
step (2): calculating the transmission and distribution electric power of the power grid;
and (3): performing conventional judgment according to the power transmission and distribution voltage signal, the power transmission and distribution current signal, the node voltage signal, the node current signal and the power grid power transmission and distribution electric power:
judging whether the power transmission and distribution voltage signal is in a power transmission and distribution voltage reference range, if so, judging that the power transmission and distribution voltage is normal; if not, the power transmission and distribution voltage is abnormal;
judging whether the power transmission and distribution current signal is in a power transmission and distribution current reference range, if so, judging that the power transmission and distribution current is normal; if not, the power transmission and distribution current is abnormal;
judging whether the node voltage signal is in a node voltage reference range or not, if so, judging that the node voltage is normal; if not, the node voltage is abnormal;
judging whether the node current signal is in a node current reference range or not, if so, judging that the node current is normal; if not, the node current is abnormal;
judging whether the power transmission and distribution power of the power grid is in a load power reference range or not, if so, if the power transmission and distribution power of the power grid is proper and is larger than the load power reference range, the power transmission and distribution power of the power grid is excessive; if the load power reference range is smaller than the load power reference range, the electric power transmission and distribution of the power grid is insufficient;
and (4): calculating the branch power:
Figure BDA0003360274140000041
wherein N is the number of nodes of the power grid, GijAdmittance matrix for said nodeReal part of the middle i row and j column, BijIs the imaginary part of i row and j column in the node admittance matrix, U (i, t) is the voltage amplitude of the node i at the time t, U (j, t) is the voltage amplitude of the node j at the time t, and thetaij(t) is the phase angle difference between the two ends of the branch ij at the moment t;
and (5): judging whether the branch power is greater than a branch power reference value, if so, the branch power is high; if not, the branch power is normal;
and (6): judging whether the energy storage electric quantity is lower than an energy storage electric quantity reference value or not, wherein the energy storage device is in a discharging state, and if so, the energy storage device is insufficient in energy storage;
and (7): calculating the frequency deviation generated by the new energy output fluctuation:
Figure BDA0003360274140000042
wherein λNIs the new energy fault power fluctuation degree coefficient, PNFor the rated output power of the new energy, S is the number of conventional energy units, TkTo express the frequency modulation capability of the conventional energy unit, KTkIs the power frequency characteristic of the conventional energy unit K, KNThe function frequency characteristic of the new energy source unit is obtained;
and (8): judging whether the frequency deviation is smaller than a frequency deviation reference value or not, if so, judging that the power grid is normal; if not, the power grid is abnormal.
If the conventional energy source unit has primary frequency modulation capability TkTaking a value of 1, if the conventional energy source unit does not have primary frequency modulation capability TkThe value is 0.
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present invention and not for limiting the same. It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.

Claims (8)

1. A power grid monitoring method comprising new energy is characterized by comprising the following steps:
step (1): collecting the power transmission and distribution voltage signals, current signals, voltage signals and current signals of each node and energy storage electric quantity of the power grid; the new energy has active power output;
step (2): calculating the transmission and distribution electric power of the power grid;
and (3): performing conventional judgment according to the power transmission and distribution voltage signal, the power transmission and distribution current signal, the node voltage signal, the node current signal and the power grid power transmission and distribution electric power;
and (4): calculating the branch power;
and (5): judging whether the branch power is normal or not;
and (6): performing energy storage safety judgment according to the energy storage electric quantity;
and (7): calculating the frequency deviation generated by the new energy output fluctuation;
and (8): and judging whether the frequency deviation is abnormal or not.
2. The method according to claim 1, wherein the specific method for performing the routine judgment according to the transmission and distribution voltage signal, the transmission and distribution current signal, the branch voltage signal, the branch current signal, and the transmission and distribution electric power of the power grid is as follows:
judging whether the power transmission and distribution voltage signal is in a power transmission and distribution voltage reference range, if so, judging that the power transmission and distribution voltage is normal; if not, the power transmission and distribution voltage is abnormal;
judging whether the power transmission and distribution current signal is in a power transmission and distribution current reference range, if so, judging that the power transmission and distribution current is normal; if not, the power transmission and distribution current is abnormal;
judging whether the node voltage signal is in a node voltage reference range or not, if so, judging that the node voltage is normal; if not, the node voltage is abnormal;
judging whether the node current signal is in a node current reference range or not, if so, judging that the node current is normal; if not, the node current is abnormal;
judging whether the power transmission and distribution electric power of the power grid is in a load power reference range, if so, judging that the power transmission and distribution electric power of the power grid is proper; if the load power is larger than the load power reference range, the power transmission and distribution power of the power grid is excessive; and if the load power is smaller than the load power reference range, the electric power transmission and distribution of the power grid is insufficient.
3. The method according to claim 2, wherein the branch power algorithm is as follows:
Figure FDA0003360274130000011
wherein N is the number of nodes of the power grid, GijIs the real part of i row and j column in the node admittance matrix, BijIs the imaginary part of i row and j column in the node admittance matrix, U (i, t) is the voltage amplitude of the node i at the time t, U (j, t) is the voltage amplitude of the node j at the time t, and thetaijAnd (t) is the phase angle difference between the two ends of the branch ij at the time t.
4. The method according to claim 3, wherein the specific method for judging whether the branch power is normal is as follows: judging whether the branch power is greater than a branch power reference value, if so, the branch power is high; if not, the branch circuit power is normal.
5. The method according to claim 4, wherein the specific method for performing energy storage safety judgment according to the energy storage capacity is as follows:
and judging whether the energy storage electric quantity is lower than an energy storage electric quantity reference value or not, wherein the energy storage device is in a discharge state, and if so, the energy storage device is insufficient in energy storage.
6. The method according to claim 5, wherein the algorithm for calculating the frequency deviation generated by the new energy output fluctuation comprises:
Figure FDA0003360274130000021
wherein λNIs the new energy fault power fluctuation degree coefficient, PNFor the rated output power of the new energy, S is the number of conventional energy units, TkTo express the frequency modulation capability of the conventional energy unit, KTkIs the power frequency characteristic of the conventional energy unit K, KNThe power frequency characteristic of the new energy source unit.
7. The method according to claim 6, wherein if the conventional energy unit has a primary frequency modulation capability TkTaking a value of 1, if the conventional energy source unit does not have primary frequency modulation capability TkThe value is 0.
8. The method according to claim 7, wherein the specific method for determining whether the frequency deviation is abnormal is as follows: judging whether the frequency deviation is smaller than a frequency deviation reference value or not, if so, judging that the power grid is normal; if not, the power grid is abnormal.
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