CN113381454A - New energy joint debugging method combining ultra-short-term prediction and regional control deviation - Google Patents

New energy joint debugging method combining ultra-short-term prediction and regional control deviation Download PDF

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Publication number
CN113381454A
CN113381454A CN202110616499.9A CN202110616499A CN113381454A CN 113381454 A CN113381454 A CN 113381454A CN 202110616499 A CN202110616499 A CN 202110616499A CN 113381454 A CN113381454 A CN 113381454A
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new energy
calculation
cruise control
value
adjustment
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Inventor
张少康
王鑫明
曹树江
李世辉
曹欣
马斌
李飞
王亚军
王文学
张飞飞
梁华洋
任晓凯
郜建祥
康胜阳
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State Grid Corp of China SGCC
State Grid Hebei Electric Power Co Ltd
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State Grid Corp of China SGCC
State Grid Hebei Electric Power Co Ltd
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Priority to CN202110616499.9A priority Critical patent/CN113381454A/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
    • 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
    • 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]
    • 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
    • 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
    • H02J13/00034—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 an electric power substation
    • 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
    • H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
    • 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]
    • 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
    • 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
    • Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • 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
    • Y04S10/16—Electric power substations

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

Abstract

The invention discloses a new energy joint debugging method combining ultra-short term prediction and regional control deviation, which is characterized in that a transformer substation operation management system is utilized to calculate a power grid load change value at the next moment through ultra-short term load prediction, and a new energy output adjustment quantity is calculated by combining an inter-provincial tie line transmission power value change value; the transformer substation operation management system comprises a new energy AGC system, a cruise control module and a new energy station regulation batch calculation module; and the new energy station adjustment batch calculation module issues the adjustment quantity distribution results of each batch to the relevant stations. When the power grid needs new energy to participate in adjustment due to peak regulation or section limitation, the method can quickly and accurately provide the new energy adjustment amount and automatically realize the adjustment according to the current conventional energy output, the power grid load prediction condition, the internetwork tie line transmission power and the tie line plan adjustment condition.

Description

New energy joint debugging method combining ultra-short-term prediction and regional control deviation
Technical Field
The invention relates to the technical field of load prediction of a power system, in particular to a new energy joint debugging method combining ultra-short-term prediction and regional control deviation, and particularly relates to a new energy joint debugging method.
Background
At present, under the large background of national energy conservation and emission reduction and energy revolution, renewable energy sources are rapidly developed, and wind power and photovoltaic projects are rapidly developed in a plurality of provinces in China. However, due to the fact that the output of new energy is greatly fluctuated by the influence of weather, the consumption capacity of a regional power grid is insufficient, the section is limited by safety constraints, and the like, the power grid balance adjustment in a large power generation period of part of new energy is extremely difficult, and the new energy needs to participate in the power balance adjustment under necessary conditions in order to ensure the safety of the large power grid. The currently common methods for participating in the adjustment of new energy are mainly a manual control mode and an automatic control strategy aiming at ensuring that conventional energy has enough reserve.
If the peak shaving measures are adopted completely, when the full-network reduction standby is lower than the safety margin, the peak shaving condition is judged to be continuously worsened, and the conventional energy cannot meet the power balance adjustment, the dispatching personnel can adjust the output of the new energy station according to a determined principle. During adjustment, the dispatcher must monitor the load and new energy trend in real time to adjust the control strategy.
The manual control mode can not be adjusted accurately in real time, and the operation is frequent, so that the working efficiency of a dispatcher is greatly influenced, and potential hazards are brought to the safety of a power grid. The conventional energy resource reduction and reserve adjustment method applied at present needs to leave a large margin for ensuring the adjustable capacity of a power grid, and the unavoidable adverse effect on the new energy resource consumption capability is caused. The schematic block diagram of the prior art solution is shown in fig. 1.
In the prior art, no matter the manual implementation is realized by a dispatcher, or the automatic adjustment of the power grid is performed by ensuring the standby of conventional energy, the control requirement after the new energy of the modern power grid is accessed on a large scale is difficult to meet, and the adjustment capability of the conventional energy in the power grid and the fairness of the output of each new energy station are difficult to consider simultaneously. The total output adjustment amount of the new energy is usually too strong in dependence on experience of a dispatcher, accuracy is not high, the new energy section cannot be fully utilized, and popularization is not facilitated.
Disclosure of Invention
The invention provides a new energy joint debugging method combining ultra-short-term prediction and regional control deviation, which is used for solving the problems in the prior art.
The invention adopts the following technical scheme:
a new energy joint debugging method combining ultra-short term prediction and regional control deviation is characterized in that a transformer substation operation management system is used for calculating a power grid load change value at the next moment through ultra-short term load prediction, and calculating a new energy output adjustment quantity by combining an inter-provincial tie line transmission power value change value; the transformer substation operation management system comprises a new energy AGC system, a cruise control module and a new energy station regulation batch calculation module;
the new energy AGC system receives actual lower standby data and lower standby protection upper limit value L of the current frequency modulation unitupLower standby protection lower limit value LdnTie line planning data and load prediction data;
the new energy AGC system sends an instruction to a related cruise control module according to a control target of a power grid dispatching center, and the cruise control module is automatically controlled through an automatic control adjusting device of the cruise control module;
the cruise control module adjusts batch calculation on the new energy station by selecting the power type by a dispatcher;
and the new energy station adjustment batch calculation module issues the adjustment quantity distribution results of each batch to the relevant stations.
Furthermore, the new energy AGC system is a new energy automatic power generation control system.
Further, the cruise control module comprises a cruise control section dynamic limit calculation system.
Further, the input data of the cruise control section dynamic limit value calculation system comprises thermal power reserve demand calculation data, tie-line planned increment calculation data and load prediction increment calculation data.
Furthermore, the new energy station regulation batch calculation module comprises a new energy section total regulation calculation system, and the regulation amount distribution is carried out according to the new energy section total regulation calculation result and preset batches.
Further, the calculation result of the dynamic limit value of the cruise control section is transmitted to a new energy section total adjustment amount calculation system.
Further, extracting the actual standby R of the current frequency modulation unitdnAs remote measurement value, the system is accessed into a new energy AGC system and the upper limit value L of the lower backup protection is usedupLower standby protection lower limit value LdnWhen the system standby is lower than the safety requirement, the cruise control module is started, and the real-time deviation A of the connecting line is considered1To derive electricityThe net actual standby demand value.
Further, the calculation formula of the actual standby requirement value of the power grid is as follows:
when R isdn-A1>LupWhen is Δ Pdn＝Lup-Rdn+A1 (1)
When R isdn-A1<LdnWhen is Δ Pdn＝Ldn-Rdn+A1 (2)
When L isdn<Rdn-A1<LupWhen is Δ Pdn＝0.0 (3)
RdnIs as follows; a power grid real-time standby value;
Lupprotecting an upper limit value for a lower standby;
ΔPdnthe standby demand for thermal power;
A1real-time deviation value of the tie line;
Ldnthe lower limit value is the lower standby protection value.
Furthermore, a planned change value of the connecting line of a minute level and ultra-short-term load prediction data are combined to obtain a planned increment delta P of the connecting linelineUltra-short term load prediction increment delta PloadAnd further obtaining a section limit value result through a formula.
Further, the formula for obtaining the section limit result is as follows:
Lsca＝Pgen-ΔPdn*C1-ΔPline*C2+ΔPload*C3 (4)
Lscafor cruise control section dynamic limits, PgenFor cross-sectional real-time power, Δ PdnReserve demand for fossil power, Δ PlinePlanning deltaP for junctorloadPredicting an increment for the load; c1、C2、C3For the weighting factor, 1 is set without special requirement.
Ultra-short-term load prediction is an important component of load prediction, and has important significance on optimal combination of units, economic dispatching, optimal power flow and electric power market transaction. The load prediction is very important to the operation of the power system, and the establishment of the daily load prediction model with higher precision has higher practical significance.
The grey system and the neural network system are reasonably combined, and a grey neural network fusion mode is provided. With the development of science and technology, especially the application of computer science in the prediction field, many new methods are developed, and the precision of load prediction is higher and higher. The grey prediction has the advantages of less sample data requirement, better load overall trend prediction and suitability for long-term prediction. The neural network has good nonlinear mapping capability, can well predict the fluctuation trend of the load, and is relatively suitable for short-term prediction. Meanwhile, due to the fact that factors influencing load prediction are various, the single prediction model has certain prediction risk. The daily load prediction is between the ultra-short term and the long term, and the respective advantages can be exerted by applying the gray neural network combination model, so that a better prediction effect is achieved. The invention has the following positive effects:
when new energy is needed to participate in power balance adjustment, the maximum consumption capacity of the new energy is calculated in real time through ultra-short-term load prediction and inter-grid-provincial contact change, the output adjustment quantity of the new energy is reasonably distributed in each new energy plant station, and the method is extremely important for utilizing the consumption capacity of the new energy of the power grid to the maximum extent and guaranteeing the safety and stability of the power grid. On the premise of ensuring the safety of the power grid, the power grid can receive the new energy to output power to the maximum capacity, the real-time control problem in the large-scale new energy access process is effectively solved, the large power grid is effectively supported, and the safety and the economical efficiency of the power grid operation are improved.
When the power grid needs new energy to participate in adjustment due to peak regulation or section limitation, the method can quickly and accurately provide the new energy adjustment amount and automatically realize the adjustment according to the current conventional energy output, the power grid load prediction condition, the internetwork tie line transmission power and the tie line plan adjustment condition. Meanwhile, the new energy consumption capacity can be improved to the maximum extent by the aid of accurate new energy regulating quantity, and green development of national economy is assisted.
Drawings
Fig. 1 is a schematic block diagram of a prior art solution.
Fig. 2 is a schematic diagram of a substation operation management system according to an embodiment of the present invention.
Fig. 3 is a schematic block diagram of an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the detailed description and specific examples, while indicating the invention, are intended for purposes of illustration only and are not intended to limit the scope of the invention.
In the description of the present invention, it is to be understood that the terms "central," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," "counterclockwise," "axial," "radial," "circumferential," and the like are used in the orientations and positional relationships indicated in the drawings for convenience in describing the invention and to simplify the description, and are not intended to indicate or imply that the referenced device or element must have a particular orientation, be constructed and operated in a particular orientation, and are not to be considered limiting of the invention.
In the present invention, unless otherwise expressly specified or limited, the terms "disposed," "mounted," "connected," and "fixed" are to be construed broadly and may, for example, be fixedly connected or detachably connected; may be a mechanical connection; may be directly connected or indirectly connected through an intermediate. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
Further, in the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
Ultra-short-term load prediction is an important component of load prediction, and has important significance on optimal combination of units, economic dispatching, optimal power flow and electric power market transaction. The load prediction is very important to the operation of the power system, and the establishment of the daily load prediction model with higher precision has higher practical significance.
The grey system and the neural network system are reasonably combined, and a grey neural network fusion mode is provided. With the development of science and technology, especially the application of computer science in the prediction field, many new methods are developed, and the precision of load prediction is higher and higher. The grey prediction has the advantages of less sample data requirement, better load overall trend prediction and suitability for long-term prediction. The neural network has good nonlinear mapping capability, can well predict the fluctuation trend of the load, and is relatively suitable for short-term prediction. Meanwhile, due to the fact that factors influencing load prediction are various, the single prediction model has certain prediction risk. The daily load prediction is between the ultra-short term and the long term, and the respective advantages can be exerted by applying the gray neural network combination model, so that a better prediction effect is achieved.
As shown in fig. 2-3, in the new energy joint debugging method combining ultra-short term prediction and regional control deviation, a power grid load change value at the next moment is calculated by using a substation operation management system through ultra-short term load prediction, and a new energy output adjustment value is calculated by combining a provincial interconnection line transmission power value change value; the transformer substation operation management system comprises a new energy AGC system, a cruise control module and a new energy station regulation batch calculation module;
the new energy AGC system receives actual lower standby data and lower standby protection upper limit value L of the current frequency modulation unitupLower standby protection lower limit value LdnTie line planning data and load prediction data;
the new energy AGC system sends an instruction to a related cruise control module according to a control target of a power grid dispatching center, and the cruise control module is automatically controlled through an automatic control adjusting device of the cruise control module;
the cruise control module adjusts batch calculation on the new energy station by selecting the power type by a dispatcher;
and the new energy station adjustment batch calculation module issues the adjustment quantity distribution results of each batch to the relevant stations.
Furthermore, the new energy AGC system is a new energy automatic power generation control system.
Further, the cruise control module comprises a cruise control section dynamic limit calculation system.
Further, the input data of the cruise control section dynamic limit value calculation system comprises thermal power reserve demand calculation data, tie-line planned increment calculation data and load prediction increment calculation data.
Furthermore, the new energy station regulation batch calculation module comprises a new energy section total regulation calculation system, and the regulation amount distribution is carried out according to the new energy section total regulation calculation result and preset batches.
Further, the calculation result of the dynamic limit value of the cruise control section is transmitted to a new energy section total adjustment amount calculation system.
Further, extracting the actual standby R of the current frequency modulation unitdnAs remote measurement value, the system is accessed into a new energy AGC system and the upper limit value L of the lower backup protection is usedupLower standby protection lower limit value LdnWhen the system standby is lower than the safety requirement, the cruise control module is started, and the real-time deviation A of the connecting line is considered1And obtaining the actual standby demand value of the power grid.
Further, the calculation formula of the actual standby requirement value of the power grid is as follows:
when R isdn-A1>LupWhen is Δ Pdn＝Lup-Rdn+A1 (1)
When R isdn-A1<LdnWhen is Δ Pdn＝Ldn-Rdn+A1 (2)
When L isdn<Rdn-A1<LupWhen is Δ Pdn＝0.0 (3)
For example, the following steps are carried out:
taking a load scale 30000MW power grid as an example, the upper limit value L of the backup protection under the power grid is setupSetting the lower limit value of the lower standby protection to be 300MW and 100 MW;
as the real-time standby value of the power gridRdnAt 80MW, the real-time deviation value A of the tie line is determined1Is 70MW (the power grid transmits 70MW power to the external power grid), because Rdn-A1<LdnWhen applying the formula (2) Δ Pdn＝100-80+70＝90MW。
RdnA real-time standby value for the power grid;
Lupprotecting an upper limit value for a lower standby;
ΔPdnthe standby demand for thermal power;
A1real-time deviation value of the tie line;
Ldnthe lower limit value is the lower standby protection value.
Furthermore, a planned change value of the connecting line of a minute level and ultra-short-term load prediction data are combined to obtain a planned increment delta P of the connecting linelineUltra-short term load prediction increment delta PloadAnd further obtaining a section limit value result through a formula.
Further, the formula for obtaining the section limit result is as follows:
Lsca＝Pgen-ΔPdn*C1-ΔPline*C2+ΔPload*C3 (4)
for example, the following steps are carried out:
the load increment delta P of the power grid is obtained by the following one-minute ultra-short term load prediction calculationloadPlanned increment of tie line Δ P of-30 MWline＝40MW。
If the real-time power of the new energy is 6000MW at the moment, the formula L is shownscaAnd when the power is 6000-90-40-30, 5840MW, the system adjusts the output of the new energy to 5840MW at the next moment.
LscaA cruise control section dynamic limit value;
Pgenreal-time power of the section;
ΔPdnthe standby demand for thermal power;
ΔPlineplanning to increase for the tie line;
ΔPloadpredicting an increment for the load;
C1、C2、C3for the weighting factor, 1 is set without special requirement.
Under the condition that new energy consumption situation is more and more severe, except for developing the unconventional peak regulation measures such as inter-network peak regulation mutual aid, thermal power generating unit deep peak regulation, start-stop peak regulation and the like, a dispatching mode needs to carry out coordination and interaction transformation to the source network load storage, along with the establishment of a frequency modulation auxiliary service market, the comprehensive deepening of electric power market reformation is realized, a power generation and utilization plan is further released, the decisive role of the market in resource allocation is increasingly highlighted, under the premise of ensuring the safety of a power grid, various power supplies and loads can be regulated more flexibly, quickly and reliably, and the system balance and the clean energy consumption capacity of the power grid are comprehensively improved.
When new energy is needed to participate in power balance adjustment, the maximum consumption capacity of the new energy is calculated in real time through ultra-short-term load prediction and inter-grid-provincial contact change, the output adjustment quantity of the new energy is reasonably distributed in each new energy plant station, and the method is extremely important for utilizing the consumption capacity of the new energy of the power grid to the maximum extent and guaranteeing the safety and stability of the power grid. On the premise of ensuring the safety of the power grid, the power grid can receive the new energy to output power to the maximum capacity, the real-time control problem in the large-scale new energy access process is effectively solved, the large power grid is effectively supported, and the safety and the economical efficiency of the power grid operation are improved.
When the power grid needs new energy to participate in adjustment due to peak regulation or section limitation, the method can quickly and accurately provide the new energy adjustment amount and automatically realize the adjustment according to the current conventional energy output, the power grid load prediction condition, the internetwork tie line transmission power and the tie line plan adjustment condition. Meanwhile, the new energy consumption capacity can be improved to the maximum extent by the aid of accurate new energy regulating quantity, and green development of national economy is assisted.
The above embodiments are merely preferred examples of the present invention and are not exhaustive of the possible implementations of the present invention. Any obvious modifications to the above would be obvious to those of ordinary skill in the art, but would not bring the invention so modified beyond the spirit and scope of the present invention.

Claims (10)

1. A new energy joint debugging method combining ultra-short term prediction and regional control deviation is characterized in that a power grid load change value at the next moment is calculated by using a transformer substation operation management system through ultra-short term load prediction, and a new energy output adjustment quantity is calculated by combining with an inter-provincial tie line transmission power value change value; the transformer substation operation management system comprises a new energy AGC system, a cruise control module and a new energy station regulation batch calculation module;
the new energy AGC system receives actual lower standby data and lower standby protection upper limit value L of the current frequency modulation unitupLower standby protection lower limit value LdnTie line planning data and load prediction data;
the new energy AGC system sends an instruction to a related cruise control module according to a control target of a power grid dispatching center, and the cruise control module is automatically controlled through an automatic control adjusting device of the cruise control module;
the cruise control module adjusts batch calculation on the new energy station by selecting the power type by a dispatcher;
and the new energy station adjustment batch calculation module issues the adjustment quantity distribution results of each batch to the relevant stations.
2. The method of claim 1, wherein the new energy AGC system is a new energy automatic generation control system.
3. The method of claim 2, wherein the cruise control module comprises a cruise control profile dynamic limit calculation system.
4. The new energy joint debugging method combining ultra-short term prediction and regional control deviation as claimed in claim 3, wherein the cruise control section dynamic limit calculation system input data comprises thermal power reserve demand calculation data, tie-line plan increment calculation data and load prediction increment calculation data.
5. The method as claimed in claim 4, wherein the new energy station regulation batch calculation module includes a new energy section total regulation calculation system, and the regulation amount distribution is performed according to the preset batch according to the new energy section total regulation calculation result.
6. The method as claimed in claim 5, wherein the calculation result of the dynamic limit of the cruise control section is transmitted to the calculation system of the total adjustment amount of the new energy section.
7. The method as claimed in claim 6, wherein the method comprises extracting actual backup R of current FM unitdnAs remote measurement value, the system is accessed into a new energy AGC system and the upper limit value L of the lower backup protection is usedupLower standby protection lower limit value LdnWhen the system standby is lower than the safety requirement, the cruise control module is started, and the real-time deviation A of the connecting line is considered1And obtaining the actual standby demand value of the power grid.
8. The new energy joint debugging method combining ultra-short term prediction and regional control deviation as claimed in claim 7, wherein the calculation formula of the actual reserve demand value of the power grid is as follows:
when R isdn-A1>LupWhen is Δ Pdn＝Lup-Rdn+A1 (1)
When R isdn-A1<LdnWhen is Δ Pdn＝Ldn-Rdn+A1 (2)
When L isdn<Rdn-A1<LupWhen is Δ Pdn＝0.0 (3)
RdnIs electricityNetwork real-time standby values;
Lupprotecting an upper limit value for a lower standby;
ΔPdnthe standby demand for thermal power;
A1real-time deviation value of the tie line;
Ldnthe lower limit value is the lower standby protection value.
9. The method as claimed in claim 8, wherein the planned change value of the link at minute level and the ultra-short term load forecast data are combined to obtain the planned increment Δ P of the linklineUltra-short term load prediction increment delta PloaAnd d, obtaining a section limit value result through a formula.
10. The method of claim 9, wherein the cross-section limit result is obtained by the following formula:
Lsca＝Pgen-ΔPdn*C1-ΔPline*C2+ΔPload*C3 (4)
Lscafor cruise control section dynamic limits, PgenFor cross-sectional real-time power, Δ PdnReserve demand for fossil power, Δ PlinePlanning deltaP for junctorloadPredicting an increment for the load; c1、C2、C3For the weighting factor, 1 is set without special requirement.
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