CN115204713A - Method and system for stable control and assistant decision-making of power system under extreme meteorological disaster - Google Patents
Method and system for stable control and assistant decision-making of power system under extreme meteorological disaster Download PDFInfo
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Abstract
The invention discloses a method and a system for stably controlling and making an auxiliary decision of an electric power system under extreme meteorological disasters, wherein the method comprises the following steps: associating the space position coordinates of the power grid system with meteorological early warning information to obtain an equipment set in an extreme meteorological early warning area, performing meteorological risk quantitative evaluation on the equipment, sequencing and screening the equipment in the extreme meteorological early warning area to obtain an initial set for analyzing the vulnerability of the power grid system equipment under extreme meteorological disasters; evaluating the importance of a power grid system for the primary centralized equipment, and performing sequencing adjustment and screening on the primary centralized equipment for equipment vulnerability analysis to obtain a fault set under extreme meteorological disasters; dynamically updating a fault set under the extreme meteorological disaster; and (4) carrying out safety and stability analysis on the power grid without the fault set under the extreme meteorological disaster, and formulating a power grid control scheme under the extreme meteorological disaster. According to the invention, based on data communication and information sharing in the field of meteorological early warning and power grid safety, the defense capability of a novel power system for resisting extreme meteorological disasters is improved.
Description
Technical Field
The invention belongs to the technical field of safety and stability control of an electric power system, and relates to a method and a system for stability control and auxiliary decision-making of the electric power system under extreme meteorological disasters.
Background
The novel power system has profound changes in the forms of a power supply side, a power grid side and a load side, and the large-scale application of new equipment and new technology provides greater challenges for the safe and stable operation of the system. Extreme weather disasters have low probability and high loss properties, and once the extreme weather disasters occur, serious consequences can be caused.
At present, a new version of the safety and stability guide rule of the power system (GB 38755-2019) requires safety and stability check on N-1 or N-2 faults possibly suffered by a power grid, and provides a power grid safety and stability control strategy for dealing with the N-1 or N-2 faults. It can be seen from the research content specified in the new edition of the "power system safety and stability guideline", that the method mainly performs analysis on the general faults possibly suffered by the power grid, and does not incorporate the extreme faults under the extremely small probability caused by extreme meteorological disasters. Therefore, the research on the safety and stability control of the novel power system under the extreme meteorological disaster has great practical significance.
Researchers at home and abroad develop a great deal of research on a safety and stability control method and a strategy of an electric power system under extreme disasters. The method is characterized in that the western-security traffic university provides an elastic electric power system construction method for dealing with extreme meteorological disasters and artificial attacks, a power grid safety and stability control strategy in the prevention, resistance and recovery phases of an electric power system is designed, a new thought is provided for researching the novel electric power system for dealing with extreme meteorological disasters, but the method cannot track real-time meteorological information and provide an auxiliary decision suggestion for safe and stable operation of the power grid; a power supply safety improvement method of a high-permeability new energy system under extreme weather is provided by global energy Internet development cooperation organization, load under extreme weather and new energy output characteristics are modeled, characteristics of a new energy unit and a power grid under extreme weather conditions are simulated, and a power grid safety improvement control scheme is provided from the source-grid-load-storage perspective.
Along with the continuous acceleration of the construction pace of novel power systems, the demand of a power grid operation party on a power system safety and stability control method under extreme meteorological disasters is more urgent. Extreme meteorological disaster information and power grid safety and stability control belong to different technical fields, and how to realize data communication and information sharing between the extreme meteorological disaster information and the power grid safety and stability control is the key for breaking a novel power system safety and stability control technology under the extreme meteorological disaster.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention aims to provide a method and a system for stably controlling and assisting decision-making of an electric power system under extreme meteorological disasters, and the defense capability of a novel electric power system for resisting the extreme meteorological disasters is improved based on data communication and information sharing in the fields of meteorological early warning and power grid safety.
In order to achieve the above purpose, the invention adopts the following technical scheme:
a power system stability control and assistant decision-making method under extreme meteorological disasters comprises the following steps:
s1, associating the spatial position coordinates of the power grid system with weather early warning information to obtain an equipment set in an extreme weather early warning area;
s2, carrying out quantitative meteorological risk evaluation on equipment in the extreme meteorological early warning area, and sequencing and screening the equipment in the extreme meteorological early warning area based on a quantitative meteorological risk evaluation result to obtain an initial set for analyzing vulnerability of the power grid system equipment under extreme meteorological disasters;
s3, evaluating the importance of the power grid system for the devices in which the vulnerability analysis of the power grid system is primarily centralized under the extreme meteorological disaster;
s4, sequencing, adjusting and screening the devices in the initial equipment vulnerability analysis set according to the importance evaluation result of the power grid system to obtain a fault set under extreme meteorological disasters;
s5, dynamically analyzing equipment vulnerability analysis initial set conditions corresponding to different weather early warning information, and updating a fault set under extreme weather disasters;
s6, carrying out static and dynamic safety and stability analysis on the power grid without the fault set under the extreme meteorological disaster;
and S7, making a power grid control scheme under the extreme meteorological disaster according to the static and dynamic safety and stability analysis conditions.
The invention further comprises the following preferred embodiments:
preferably, in S1, based on the geographical position coordinate information and weather early warning information of the provincial power grid system, weather early warning area division is performed according to different weather conditions to obtain an extreme weather early warning area and devices in the area, so as to form a device set in the extreme weather early warning area.
The extreme weather comprises cold tide, typhoon and mountain fire; the equipment comprises a power transmission line and a transformer.
Preferably, S2 comprises in particular the following steps:
s21, carrying out quantitative meteorological risk assessment on equipment in the extreme meteorological early warning area by taking the real-time wind speed and temperature information as assessment indexes;
s22, sorting the equipment in the extreme weather early warning area according to the weather risk quantitative evaluation value from large to small, and screening out the first k equipment;
and S23, acquiring equipment which belongs to the same power transmission channel or the same tower as the k equipment, and forming an initial set of equipment vulnerability analysis of the power grid system under the extreme meteorological disaster together with the k equipment.
Preferably, S21 is specifically:
initializing the meteorological risk quantitative evaluation value of each device in the extreme meteorological early warning area into 100 points;
acquiring real-time wind speed associated with equipment, if the wind speed reaches 25m/s, subtracting 2 points from a meteorological risk quantitative evaluation value of the equipment, and on the basis of 25m/s, subtracting 0.05 points from the evaluation value every time the wind speed is improved by 0.5 m/s;
and acquiring real-time temperature associated with the equipment, if the temperature reaches-5 ℃, subtracting 2 points from the quantitative evaluation value of the meteorological risk of the equipment, and on the basis of-5 ℃, subtracting 0.05 point from the evaluation value every time the temperature is reduced by 0.5 ℃.
Preferably, the initial set of equipment vulnerability analysis comprises affected equipment of a power grid system in a meteorological early warning area and physical state information of the affected equipment;
the physical state information includes a device name, a device type, an affiliated element, a voltage level, a geographical position, a risk type, a risk factor, and a quantitative evaluation value of the device.
Preferably, in S3, the importance degree of the power grid system is evaluated on the devices in which the vulnerability analysis of the power grid system devices under extreme meteorological disasters is primarily concentrated;
the equipment for analyzing the vulnerability of the power grid system under the extreme meteorological disaster and primarily concentrating comprises a power transmission line and a transformer;
wherein, the transmission line L i The importance evaluation value lambda of the power grid system i The calculation formula is as follows:
ΔP ij is and line L i End-to-end connected lines L of the same voltage class j (j =1.. N) after disconnection, the line L i Active power variation of (2);
alpha is the active power self-transfer coefficient of the line;
β is the line active power mutual transfer coefficient, and α + β =1.
S3, evaluating value eta of importance degree of power grid system of transformer i The calculation formula is as follows:
wherein S is short The short-circuit capacity of the transformer under the short-circuit fault;
S N is the rated apparent capacity of the transformer;
P load is the annual average load power of the transformer;
P N the rated active power of the transformer;
omega and xi are importance degree evaluation weight coefficients of the transformer, which meet the condition that omega + xi =1, and when the voltage level of the transformer is 500 kilovolts, omega is larger than xi; when the voltage level of the transformer is 220 kilovolts, omega is less than xi.
Preferably, S4 specifically includes:
s41, evaluating and calculating results according to the importance of the power grid systems of the power transmission line and the transformer, sorting the line and the transformer from large to small according to the calculated values, respectively screening the first w devices as key devices for maintaining the safe and stable operation of the power system, wherein 2w is less than m, and m is the number of devices in initial concentration for analyzing the vulnerability of the devices;
s42, sequencing the devices in the initial set of the equipment vulnerability analysis is low, but sequencing of the devices belonging to key devices for maintaining safe and stable operation of the power system is improved, sequencing of the devices in the initial set of the equipment vulnerability analysis is achieved, and a fault set X under an extreme meteorological disaster is formed by screening the first h devices; the sorting principle is that the key equipment is the highest in sorting priority, the key equipment is sorted according to the magnitude of the quantified evaluation value, and the primary concentration equipment is sequentially and sequentially sorted.
Preferably, in S5, dynamically analyzing the equipment vulnerability analysis initial set condition corresponding to the real-time weather early warning information, updating the fault set X under the extreme weather disaster, and the obtained fault set under the extreme weather disaster is X + Y, specifically:
the initial set of equipment vulnerability analysis obtained from the previous weather early warning information is taken as a reference and is called as an old set;
obtaining a new equipment vulnerability analysis initial set according to the updated weather early warning information, and calling the new equipment vulnerability analysis initial set as a new set;
comparing the difference equipment lists of the old set and the new set to obtain the items added in the new set, and performing important equipment evaluation on the items added in the new set by taking the voltage grade, the short circuit capacity, the annual average load rate and the sensitivity to the key section as indexes;
the important equipment evaluation process is as follows:
if the equipment meets the condition that the voltage level is greater than or equal to 220kV, evaluating the short-circuit capacity sequencing, otherwise, automatically judging as non-important equipment;
if the equipment short-circuit capacity sequence is located at the top 10% of the whole network, the annual average load rate is evaluated, otherwise, the equipment is automatically judged to be non-important equipment;
if the annual average load rate of the equipment is more than or equal to 80%, evaluating the sensitivity of the key section, otherwise, automatically judging the equipment to be non-important equipment;
if the sensitivity of the equipment to the key section is greater than 0.5, judging the equipment to be important equipment, and otherwise, automatically judging the equipment to be non-important equipment;
recording the equipment set which is judged as important equipment by the excessive items in the new set as Y, sending fault set reconstruction early warning by the system, and reconstructing and updating the fault set under the extreme meteorological disaster of the power grid risk assessment as X + Y, wherein X is the fault set under the extreme meteorological disaster;
if the items in the new set are judged to be the unimportant devices, Y is an empty set, and the step S6 is directly executed without sending out a fault set reconstruction early warning;
and (5) if the fault set under the extreme meteorological disaster obtained after the S5 is X + Y, removing the power grid element set of the fault set under the extreme meteorological disaster into N-X-Y to be used for executing S6, wherein N is all element sets in the power grid.
Preferably, in S6, the set of power grid elements from which the fault set is removed in the extreme meteorological disaster is N-X-Y, and static safety and stability analysis of the power grid is performed on the set, where N is a set of all elements in the power grid, specifically:
and determining the type and boundary of the static safety and stability analysis fault of the power grid based on the N-X-Y set, carrying out the static safety and stability analysis of the power grid under extreme meteorological disasters on the basis of the real-time operation data of the power grid, calculating key variable values of the power system, and visually displaying the static operation risk of the power grid.
Preferably, in S5, the power grid element set from which the fault set is removed in the extreme meteorological disaster is N-X-Y, and the dynamic safety and stability analysis of the power grid is performed on the power grid, specifically:
based on the N-X-Y set, determining a power grid dynamic safety and stability analysis disturbance form and a time scale, describing a power system key variable motion track in a time domain, describing a system characteristic root track development trend in a frequency domain, and visually displaying power grid dynamic operation risks.
Preferably, in S7, according to the static and dynamic safety and stability analysis conditions, an overall control scheme including a prevention control, a defense strategy, an emergency response and a recovery strategy for the provincial power grid under the extreme meteorological disaster is formulated.
The invention also provides a power system stability control and assistant decision system under the extreme meteorological disaster, and the stability control and assistant decision system is used for realizing the power system stability control and assistant decision method under the extreme meteorological disaster.
Compared with the prior art, the invention has the beneficial effects that:
the method integrates the spatial position coordinates and meteorological early warning information of the power grid system, screens the affected equipment under the extreme meteorological disaster by considering two factors of the meteorological risk of the equipment and the importance of the equipment to the power grid system to form a fault set under the extreme meteorological disaster, dynamically updates the fault set under the extreme meteorological disaster, provides accurate equipment information for static and dynamic safety and stability analysis of the power grid without the fault set under the extreme meteorological disaster and establishment of a power grid control scheme under the extreme meteorological disaster according to the static and dynamic safety and stability analysis conditions, improves the defense capability of a novel power system against the extreme meteorological disaster, and provides a novel method for improving the safety and stability operation capability and the auxiliary decision level of the novel power system under the extreme meteorological disaster.
Drawings
FIG. 1 is a flow chart of the method of the present invention;
FIG. 2 is a schematic diagram of an embodiment of the present invention;
FIG. 3 is a grid voltage stability curve for an embodiment;
FIG. 4 is a power angle stability curve of the power grid in the embodiment;
FIG. 5 is a grid frequency stability curve in an embodiment;
fig. 6 is a distribution diagram of a grid characteristic root trajectory in an embodiment.
Detailed Description
The invention is further described below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
Example 1 a method for the stability control and aid decision-making of an electric power system in extreme meteorological disasters according to the invention is described in connection with typhoon disasters occurring in jeans on 21/8/26/2020, and in a preferred but non-limiting embodiment of the invention, as shown in fig. 1-2, the method comprises the following steps S1-S7:
s1, associating the spatial position coordinates of the power grid system with weather early warning information to obtain an equipment set in an extreme weather early warning area;
further preferably, in S1, based on the geographical position coordinate information and the meteorological early-warning information of the provincial power grid system, the meteorological early-warning regions are divided according to different meteorological conditions to obtain extreme meteorological early-warning regions and devices in the regions, so as to form a device set in the extreme meteorological early-warning regions.
The extreme weather comprises cold tide, typhoon and mountain fire;
the equipment comprises a transmission line and a transformer.
In specific implementation, S1 specifically is:
based on geographical position coordinate information of 500 kV and 220kV systems (including power plants, substations, lines and the like) of a Liaoning power grid, a digital information system capable of representing provincial power grid equipment distribution is constructed, meteorological early warning information in weather forecast is subjected to data conversion, a meteorological influence range is subjected to digital coordinate processing, 500 kV and 220kV system equipment is associated, and complete spatial superposition and effective association of provincial power grid equipment information and meteorological early warning information in a space-time range are realized;
combining weather early warning information in numerical weather forecast, dividing weather early warning areas according to different weather conditions, for example, extreme weather conditions such as cold tides, typhoons, mountain fires and the like into red early warning areas, namely extreme weather early warning areas; the weather conditions such as sudden temperature rise, sudden temperature decrease and strong wind are divided into yellow early warning areas, the rest daily weather conditions are divided into green early warning areas, and the yellow early warning areas and the green early warning areas are non-extreme weather early warning areas.
And then the equipment set in the extreme weather early warning area can be obtained.
S2, carrying out quantitative meteorological risk evaluation on the equipment in the extreme meteorological early warning area, and sequencing and screening the equipment in the extreme meteorological early warning area based on a quantitative meteorological risk evaluation result to obtain an initial set of analysis on vulnerability of the power grid system equipment under extreme meteorological disasters;
the method comprises the following steps of combining meteorological information, prejudging the possible influence of a power grid when extreme meteorological disasters occur, and obtaining an initial set of equipment vulnerability analysis from the system level angle including 'source-grid-load'.
Specifically, the method comprises the following steps:
s21, performing meteorological risk quantitative evaluation on equipment in the extreme meteorological early warning area by taking the real-time wind speed and temperature information as evaluation indexes, specifically:
initializing the meteorological risk quantitative evaluation value of each device in the extreme meteorological early warning area into 100 points;
acquiring real-time wind speed associated with equipment, if the wind speed reaches 25m/s, subtracting 2 points from a meteorological risk quantitative evaluation value of the equipment, and on the basis of 25m/s, subtracting 0.05 points from the evaluation value every time the wind speed is improved by 0.5 m/s;
and acquiring real-time temperature associated with the equipment, if the temperature reaches-5 ℃, subtracting 2 points from the quantitative evaluation value of the meteorological risk of the equipment, and on the basis of-5 ℃, subtracting 0.05 point from the evaluation value every time the temperature is reduced by 0.5 ℃.
S22, sorting the equipment in the extreme weather early warning area according to the weather risk quantitative evaluation value from large to small, and screening the first k equipment, namely a list of the affected equipment of 500 kV and 220kV power grid systems in the extreme weather early warning area;
and S23, acquiring equipment which belongs to the same power transmission channel or the same tower as the k equipment, and forming an initial set of analysis on the vulnerability of the power grid system equipment under the extreme meteorological disaster together with the k equipment, wherein the assumption is that the equipment comprises m equipment.
Equipment paralleling belonging to same power transmission channel or same towerSorting, i.e. if line A and line B are the same tower line, line A is arranged Line B is also brought into the set in the same tower as line A in the 5 th order, which is the same as line A in the 5 th orderQuantized evaluation valueAnd A Of threadsQuantized evaluation value；
For example, in combination with information of associated equipment such as a power grid intensive power transmission channel, an important crossing, a same-tower line erection and the like in Liaoning, the list of affected equipment of 500 kV and 220kV systems in a meteorological early-warning area is further modified, an initial set of equipment vulnerability analysis of the 500 kV and 220kV systems in typhoon meteorological disasters is established, and data support is provided for reconstruction of a power grid risk assessment fault set in step S4 as shown in Table 1.
TABLE 1 early set of vulnerability analysis of Liaoning grid equipment under typhoon meteorological disasters
The special patrol refers to a risk type requiring important attention and special patrol.
The initial set of equipment vulnerability analysis comprises affected equipment of a power grid system in a meteorological early warning area and physical state information of the affected equipment;
the physical state information includes a device name, a device type, an affiliated element, a voltage level, a geographical position, a risk type, a risk factor, and a quantitative evaluation value of the device.
S3, evaluating the importance of the power grid system for the devices in which the vulnerability analysis of the power grid system is primarily centralized under the extreme meteorological disaster;
further preferably, by using a power grid key link identification technology, importance evaluation of a power grid system of the equipment is calculated, for example, importance evaluation is performed on equipment in which vulnerability analysis of the power grid system is initially concentrated under extreme meteorological disasters of 500 kv and 220kv systems in the typhoon environment of the lianning power grid, so that the importance evaluation is performed on the equipment in step S4 to determine key equipment for maintaining safe and stable operation of the lianning power grid.
Further preferably, the equipment mainly aimed at by the evaluation of the importance of the S3 power grid system includes a power transmission line and a transformer;
transmission line L i The importance evaluation value lambda of the power grid system i The calculation formula is as follows:
ΔP ij is and line L i Lines L with same voltage class and connected head and tail ends j (j =1.. N) the line L after disconnection i Active power variation of (2);
alpha is the active power self-transfer coefficient of the line;
beta is the line active power mutual transfer coefficient, and alpha + beta =1.
S3, evaluating value eta of importance degree of power grid system of transformer i The calculation formula is as follows:
wherein S is short For short circuit reasonShort circuit capacity of the underbarrier transformer;
S N is the rated apparent capacity of the transformer;
P load is the annual average load power of the transformer;
P N the rated active power of the transformer;
omega and xi are importance degree evaluation weight coefficients of the transformer, which meet the condition that omega + xi =1, and when the voltage level of the transformer is 500 kilovolts, omega is larger than xi; when the voltage level of the transformer is 220 kilovolts, omega is less than xi.
In the embodiment, specific importance evaluation values are shown in table 2.
TABLE 2 Liaoning Power grid Key device importance assessment value
S4, reordering and screening the equipment vulnerability analysis initial concentration equipment according to the importance evaluation result of the power grid system to obtain a fault set under extreme meteorological disasters;
s41, evaluating and calculating results according to the importance of the power grid systems of the power transmission line and the transformer, sorting the line and the transformer from large to small according to the calculated values, respectively screening the first w devices as key devices for maintaining the safe and stable operation of the power system, wherein 2w is less than m, and m is the number of devices in initial concentration for analyzing the vulnerability of the devices;
namely, the evaluation calculation value of the importance degree of the circuit and the circuit is compared, the evaluation calculation value of the importance degree of the transformer and the transformer is compared, and whether the equipment is the key equipment is judged according to respective numerical values.
According to λ in Table 2 i 、η i Determining key equipment for maintaining the safe and stable operation of the power system as follows: danhai No. 1 line and Danhai No. 2 line; the yellow sea No. 1 changes and the yellow sea No. 3 changes.
Note that table 1 and table 2 are not related, but merely examples of the implementation of the contents of the steps.
And S42, sequencing the devices in the initial set of the equipment vulnerability analysis is low, but the sequencing of the devices belonging to the key devices for maintaining the safe and stable operation of the power system is improved, the sequencing of the devices in the initial set of the equipment vulnerability analysis is realized, and the first h devices are screened to form a fault set under the extreme meteorological disaster.
The sorting principle is that the key devices are sorted according to the magnitude of the quantized evaluation values, and the primary concentration devices are sorted sequentially, for example, the primary concentration devices are sorted into a, b, c, d, and e, wherein b, c, and e are all key devices, and are sorted into c, e, and b by the magnitude of the quantized evaluation values, and the result after re-sorting is c, e, b, a, and d.
Further preferably, in step S41, the list of the key devices in the power grid is fed back to step S2, and the priority of the key device in the list is the highest, and the original device in step S2 is sequentially ranked, so as to provide a basis for the early warning of the power grid devices.
S42 can be understood as: based on the initial set of equipment vulnerability analysis and the importance evaluation result, the fault set under the extreme meteorological disaster suitable for power grid risk evaluation is reconstructed by taking the principle of priority promotion of the event which is influenced by the meteorological phenomena with small probability but has large influence on the power grid as the principle, and specifically:
the vulnerability analysis initial set of 500 kV and 220kV system equipment of the Liaoning power grid under typhoon meteorological disasters in the step S2 is fused, and key equipment of the Liaoning power grid, which is given by the identification technology of the key equipment of the power grid in the step S3, and priority promotion of events which are slightly influenced by the meteorological phenomena but have large influence on the power grid are taken as the principle, for example, if the Danhai No. 1 line and the Danhai No. 2 line are ranked lower in the vulnerability analysis initial set, but are judged as the key equipment of the power grid in the evaluation result of the key equipment of the power grid, once a fault occurs, the power grid is seriously influenced, and therefore when the fault set is reconstructed under extreme meteorological disasters for evaluating the risk of the power grid, the priority promotion of the Danhai No. 1 line and the Danhai No. 2 line is considered. The fault set under the extreme meteorological disaster can cover any power grid accident possibly occurring in the prediction period of the extreme meteorological disaster, and effective guidance and scientific basis are provided for the power grid safety and stability analysis conducted in the steps S6 and S7.
Further preferably, in order to enable the power grid risk assessment fault set under the extreme meteorological disaster to track the change condition of the meteorological early warning information in real time, the method provides S5. Dynamically analyzing the equipment vulnerability analysis initial set condition corresponding to different meteorological early warning information, and updates the fault set under the extreme meteorological disaster, specifically:
the initial set of equipment vulnerability analysis obtained from the previous weather early warning information is taken as a reference and is called as an old set;
obtaining a new equipment vulnerability analysis initial set according to the updated weather early warning information, and calling the new equipment vulnerability analysis initial set as a new set;
comparing the difference equipment lists of the old set and the new set, namely obtaining the excessive items in the new set, and carrying out important equipment evaluation on the excessive items in the new set according to indexes such as voltage grade, short circuit capacity, annual average load rate, key section sensitivity and the like;
the important equipment evaluation process is as follows:
if the equipment meets the condition that the voltage level is greater than or equal to 220kV, evaluating the short-circuit capacity sequencing, otherwise, automatically judging as non-important equipment;
if the equipment short-circuit capacity sequence is positioned at the top 10% of the whole network, the annual average load rate is evaluated, otherwise, the equipment is automatically judged to be non-important equipment;
if the annual average load rate of the equipment is more than or equal to 80%, evaluating the sensitivity of the key section, otherwise, automatically judging the equipment to be non-important equipment;
if the sensitivity of the equipment to the key section is more than 0.5, the equipment is judged to be important equipment, otherwise, the equipment is automatically judged to be non-important equipment.
And recording the equipment set of which the excessive items in the new set are judged as important equipment as Y, sending out fault set reconstruction early warning by the system, and reconstructing and updating the fault set under the extreme meteorological disaster of the power grid risk assessment as X + Y, wherein X is the fault set under the extreme meteorological disaster, namely X + Y is the fault set under the reconstructed extreme meteorological disaster of the power grid risk assessment.
The early warning content is that the original fault set can not meet the current analysis requirement and the fault set is required to be reconstructed immediately;
if the items in the new set are judged to be non-important equipment, Y is an empty set, and the step S6 is directly executed without sending out fault set reconstruction early warning;
and (5) if the fault set under the extreme meteorological disaster obtained after the S5 is X + Y, removing the power grid element set of the fault set under the extreme meteorological disaster into N-X-Y to be used for executing S6, wherein N is all element sets in the power grid.
The method is characterized in that S1-S5 are used for fusing spatial position coordinates and meteorological early warning information of a power grid system, screening affected equipment under extreme meteorological disasters by considering two factors of meteorological risks of the equipment and importance of the equipment to the power grid system to form a fault set under the extreme meteorological disasters, dynamically updating the fault set under the extreme meteorological disasters, and providing accurate equipment information for S6 and S7 to perform static and dynamic safety and stability analysis on the power grid without the fault set under the extreme meteorological disasters and to formulate a power grid control scheme under the extreme meteorological disasters according to static and dynamic safety and stability analysis conditions.
S6, carrying out static and dynamic safety and stability analysis on the power grid without the fault set under the extreme meteorological disaster;
static and dynamic security and stability analysis of Liaoning power grid for removing fault sets under extreme meteorological disasters is carried out;
further preferably, the power grid element set for removing the fault set under the extreme meteorological disaster is N-X-Y, and the static safety and stability analysis of the power grid is carried out on the power grid element set, specifically:
determining the static safety and stability analysis fault type and boundary of the power grid based on the N-X-Y set, considering the effect of line dynamic capacity increase on the key section of the system and the transmission capacity of the line, developing the static safety and stability analysis of the power grid in an N-X mode based on the real-time operation data of the power grid, and developing the load flow calculation of the system: calculating key variable values of the power system, such as the load flow distribution and the voltage value of the power grid under the influence of extreme faults, and visually displaying the static operation risk of the power grid.
The fault types comprise disconnection faults, main transformer tripping faults, generator shutdown faults and the like, and the boundary conditions comprise the starting number, the load level, the connecting line input power and the like.
Further preferably, the power grid element set for removing the fault set under the extreme meteorological disaster is N-X-Y, and the dynamic safety and stability analysis of the power grid is carried out on the power grid element set, specifically:
based on the N-X-Y set, determining a dynamic safety and stability analysis disturbance form and a time scale of a power grid, such as line cross-line short circuit fault under a second-level time scale and dynamic stability performance of the power grid under a minute-level time scale, describing a motion track of key variables (including voltage, current, power angle and the like) of a power system under a time domain, describing a development trend of a characteristic root track of the system under a frequency domain, and visually displaying dynamic operation risks of the power grid.
In specific implementation, the static and dynamic security and stability analysis results of the Liaoning power grid based on typhoon weather early warning are shown in figures 3-6.
And S7, making a power grid control scheme under the extreme meteorological disaster according to the static and dynamic safety and stability analysis conditions.
And (3) formulating an overall control scheme of 'prevention control, strategy resistance, emergency response and rapid recovery' of the Liaoning power grid under the typhoon disaster according to the static and dynamic safety and stability analysis conditions.
Further preferably, an overall control scheme of the provincial power grid under the extreme meteorological disaster, including prevention control, a defense strategy, emergency response and a rapid recovery strategy, is formulated according to static and dynamic safety and stability analysis conditions;
the prevention control comprises key section power flow control, generator output and regional load control;
the defense strategy comprises energy storage operation control based on frequency rapid identification, pumping and storage low-frequency pump switching control and hydropower low-frequency self-starting control;
the emergency response comprises emergency load control, wide area protection control and active isolated island operation;
the quick recovery strategy comprises a net rack recovery proposal, a load quick recovery proposal and a net source coordination recovery proposal.
For example, in the small load and heavy water cycle in summer, the total output of the pre-control (Dandong thermoelectricity + Dandong factory) should not be more than 650MW; under the mode of small power generation of Dandong water power under large load in winter and in dry season, the total output of pre-control (the Dandong factory and the Dandong thermal power plant) is not less than 1050MW; and setting a system low-frequency protection constant value, namely accurately inputting the low-frequency pump switching/hydroelectric low-frequency self-starting device when the frequency is lower than 49.88Hz, and ensuring the frequency safety of the Liaoning power grid during the typhoon crossing.
The system for stably controlling and assisting in decision-making of the power system under the extreme meteorological disaster is used for achieving the method for stably controlling and assisting in decision-making of the power system under the extreme meteorological disaster.
Compared with the prior art, the invention has the beneficial effects that:
the method integrates the spatial position coordinates and meteorological early warning information of the power grid system, screens the affected equipment under the extreme meteorological disaster by considering two factors of the meteorological risk of the equipment and the importance of the equipment to the power grid system to form a fault set under the extreme meteorological disaster, dynamically updates the fault set under the extreme meteorological disaster, provides accurate equipment information for static and dynamic safety and stability analysis of the power grid without the fault set under the extreme meteorological disaster and establishment of a power grid control scheme under the extreme meteorological disaster according to the static and dynamic safety and stability analysis conditions, improves the defense capability of a novel power system against the extreme meteorological disaster, and provides a novel method for improving the safety and stability operation capability and the auxiliary decision level of the novel power system under the extreme meteorological disaster.
An electric power system comprehensive stability control model is constructed based on an equipment vulnerability analysis technology, an electric power grid fault set reconstruction technology, an electric power grid static and dynamic safety and stability study and judgment technology and an electric power grid overall defense strategy, so that expected control performance of stable state and transient state comprehensive safety and stability of the electric power system under extreme meteorological disasters can be realized, the prevention, resistance, emergency and recovery capabilities of the novel electric power system under the extreme meteorological disaster conditions can be improved, the advanced panoramic perception, the intelligent operation risk pre-control, the three-defense line emergency control of the electric power grid in an accident and the recovery and auxiliary decision suggestion of the electric power grid after the accident are realized, and a new method is provided for improving the safety and stability operation capability of the novel electric power system under the extreme meteorological disasters.
According to the method, the influence possibly suffered by a power grid when extreme meteorological disasters occur is predicted on the basis of meteorological early warning information such as typhoon prediction, lightning positioning, rain, snow, freezing and the like in weather forecast, and an initial set of equipment vulnerability analysis is obtained from the perspective of a system level comprising 'source-grid-load'; forming a power grid equipment importance evaluation result through a power grid key link identification technology; and finally, the physical state of the equipment is fused with the safety information of the power grid, a fault set applicable to the power grid risk evaluation under the extreme meteorological disaster is reconstructed by using the principle of 'small probability and priority promotion of high loss events', static and dynamic safety and stability analysis is carried out on the power grid on the basis of the fault set, an 'prevention control, strategy resistance, emergency response and rapid recovery' overall control scheme of the power grid under the extreme meteorological disaster is provided, and the elasticity and toughness of a novel power system are improved. Meanwhile, in order to enable the fault set under the extreme meteorological disaster of power grid risk assessment to track the meteorological prediction information change condition in real time, rolling verification and early warning of the fault set under the extreme meteorological disaster are introduced, so that the fault set under the extreme meteorological disaster of power grid risk assessment can track the meteorological change condition in real time.
In specific implementation, the invention effectively integrates the equipment physical state information given by the equipment vulnerability analysis initial set of 500 KV and 220KV system under extreme meteorological disasters and the power grid safety information given by the power grid key equipment identification technology, realizes data communication and information sharing in the field of meteorological early warning and power grid safety, judges the safety risk of the power grid during extreme meteorological periods by taking the meteorological information and the power grid information as the basis, provides a power grid stability control strategy and an auxiliary decision suggestion for a dispatching department, promotes the defense capability of a novel power system against the extreme meteorological disasters, and provides a novel method for promoting the safety stability operation capability and the auxiliary decision level of the novel power system under the extreme meteorological disasters.
The present applicant has described and illustrated embodiments of the present invention in detail with reference to the accompanying drawings, but it should be understood by those skilled in the art that the above embodiments are only preferred embodiments of the present invention, and the detailed description is only for the purpose of helping the reader to better understand the spirit of the present invention, and not for the purpose of limiting the scope of the present invention, and on the contrary, any modifications or modifications based on the spirit of the present invention should fall within the scope of the present invention.
Claims (12)
1. The method for stably controlling and making an auxiliary decision on the power system under the extreme meteorological disaster is characterized by comprising the following steps: the method comprises the following steps: s1, associating spatial position coordinates of a power grid system with meteorological early warning information to obtain an equipment set in an extreme meteorological early warning area; s2, carrying out quantitative meteorological risk evaluation on equipment in the extreme meteorological early warning area, and sequencing and screening the equipment in the extreme meteorological early warning area based on a quantitative meteorological risk evaluation result to obtain an initial set for analyzing vulnerability of the power grid system equipment under extreme meteorological disasters; s3, evaluating the importance of the power grid system for the devices in the initial set of the vulnerability analysis of the power grid system devices; s4, sequencing, adjusting and screening the equipment vulnerability analysis primary centralized equipment according to the importance evaluation result of the power grid system to obtain a fault set under the extreme meteorological disaster; s5, dynamically analyzing equipment vulnerability analysis initial sets corresponding to different weather early warning information, and updating a fault set under the extreme weather disasters; s6, carrying out static and dynamic safety and stability analysis on the power grid without the fault set under the extreme meteorological disaster; and S7, making a power grid control scheme under the extreme meteorological disaster according to the static and dynamic safety and stability analysis conditions.
2. The method for stability control and aid decision making of electric power system under extreme meteorological disaster according to claim 1, wherein:
in the S1, based on geographical position coordinate information and meteorological early warning information of a provincial power grid system, meteorological early warning area division is carried out according to different meteorological conditions to obtain an extreme meteorological early warning area and equipment in the area, and an equipment set in the extreme meteorological early warning area is formed.
The extreme weather comprises cold tide, typhoon and mountain fire; the equipment comprises a transmission line and a transformer.
3. The method for stability control and aid decision making of electric power system under extreme meteorological disaster according to claim 1, wherein:
s2 specifically comprises the following steps:
s21, carrying out quantitative meteorological risk assessment on equipment in the extreme meteorological early warning area by taking the real-time wind speed and temperature information as assessment indexes;
s22, sorting the equipment in the extreme weather early warning area according to the weather risk quantitative evaluation value from large to small, and screening out the first k equipment;
and S23, acquiring equipment which belongs to the same power transmission channel or the same tower as the k equipment, and forming an initial set of analysis on the vulnerability of the power grid system equipment under the extreme meteorological disaster together with the k equipment.
4. The method for stable control and assistant decision making of electric power system under extreme meteorological disaster according to claim 3, characterized in that:
s21 specifically comprises the following steps:
initializing the meteorological risk quantitative evaluation value of each device in the extreme meteorological early warning area into 100 points;
acquiring real-time wind speed related to equipment, and subtracting 2 points from a meteorological risk quantitative evaluation value of the equipment if the wind speed reaches 25m/s, wherein on the basis of 25m/s, 0.05 points are subtracted from the evaluation value every time the wind speed is improved by 0.5 m/s;
and acquiring real-time temperature related to the equipment, subtracting 2 points from the quantitative assessment value of the meteorological risk of the equipment if the temperature reaches-5 ℃, and subtracting 0.05 points from the assessment value every time the temperature is reduced by 0.5 ℃ on the basis of-5 ℃.
5. The method for stability control and aid decision making of electric power system under extreme meteorological disaster according to claim 1, wherein:
the initial set of equipment vulnerability analysis comprises affected equipment of a power grid system in a meteorological early warning area and physical state information of the affected equipment;
the physical state information includes a device name, a device type, an affiliated element, a voltage level, a geographical position, a risk type, a risk factor, and a quantitative evaluation value of the device.
6. The method for stability control and aid decision making of electric power system under extreme meteorological disaster according to claim 1, wherein:
s3, evaluating the importance of the power grid system on the devices in which the vulnerability analysis of the power grid system devices under extreme meteorological disasters is primarily concentrated;
the equipment for analyzing the vulnerability of the power grid system under the extreme meteorological disaster and primarily concentrating comprises a power transmission line and a transformer;
wherein, the transmission line L i The importance evaluation value lambda of the power grid system i The calculation formula is as follows:
ΔP ij is and line L i End-to-end connected lines L of the same voltage class j (j =1.. N) after disconnection, the line L i Active power variation of (2);
alpha is the active power self-transfer coefficient of the line;
beta is the line active power mutual transfer coefficient, and alpha + beta =1.
S3, evaluating value eta of importance degree of power grid system of transformer i The calculation formula is as follows:
wherein S is short The short-circuit capacity of the transformer under the short-circuit fault;
S N is the rated apparent capacity of the transformer;
P load is the annual average load power of the transformer;
P N the rated active power of the transformer;
omega and xi are importance degree evaluation weight coefficients of the transformer, which meet the condition that omega + xi =1, and when the voltage level of the transformer is 500 kilovolts, omega is larger than xi; when the voltage level of the transformer is 220 kilovolts, omega is less than xi.
7. The method for stability control and aid decision making of electric power system under extreme meteorological disaster according to claim 1, wherein:
s4 specifically comprises the following steps:
s41, evaluating and calculating results according to the importance of the power grid systems of the power transmission line and the transformer, sorting the line and the transformer from large to small according to the calculated values, respectively screening the first w devices as key devices for maintaining the safe and stable operation of the power system, wherein 2w is less than m, and m is the number of devices in initial concentration for analyzing the vulnerability of the devices;
s42, sequencing the devices in the initial set of the equipment vulnerability analysis is low, but sequencing of the devices belonging to key devices for maintaining safe and stable operation of the power system is improved, sequencing of the devices in the initial set of the equipment vulnerability analysis is achieved, and a fault set X under an extreme meteorological disaster is formed by screening the first h devices; the sorting principle is that the key equipment is sorted according to the size of the quantified evaluation value, and the primary concentration equipment is sorted sequentially.
8. The method for stable control and assistant decision making of electric power system under extreme meteorological disaster according to claim 1, characterized in that:
in S5, dynamically analyzing the equipment vulnerability analysis initial set condition corresponding to the real-time weather early warning information, updating the fault set X under the extreme weather disasters, wherein the obtained fault set under the extreme weather disasters is X + Y, and specifically:
the initial set of equipment vulnerability analysis obtained from the previous weather early warning information is taken as a reference and is called as an old set;
obtaining a new equipment vulnerability analysis initial set according to the updated weather early warning information, and calling the new equipment vulnerability analysis initial set as a new set;
comparing the difference equipment lists of the old set and the new set to obtain the items added in the new set, and performing important equipment evaluation on the items added in the new set by taking the voltage grade, the short circuit capacity, the annual average load rate and the sensitivity to the key section as indexes;
the important equipment evaluation process is as follows:
if the equipment meets the condition that the voltage level is greater than or equal to 220kV, evaluating the short-circuit capacity sequencing, otherwise, automatically judging as non-important equipment;
if the equipment short-circuit capacity sequence is located at the top 10% of the whole network, the annual average load rate is evaluated, otherwise, the equipment is automatically judged to be non-important equipment;
if the annual average load rate of the equipment is more than or equal to 80%, evaluating the sensitivity of the key section, otherwise, automatically judging the equipment to be non-important equipment;
if the sensitivity of the equipment to the key section is greater than 0.5, judging the equipment to be important equipment, and otherwise, automatically judging the equipment to be non-important equipment;
recording the equipment set which is judged as important equipment by the excessive items in the new set as Y, sending fault set reconstruction early warning by the system, and reconstructing and updating the fault set under the extreme meteorological disaster of the power grid risk assessment as X + Y, wherein X is the fault set under the extreme meteorological disaster;
if the items in the new set are judged to be the unimportant devices, Y is an empty set, and the step S6 is directly executed without sending out a fault set reconstruction early warning;
and (4) if the fault set under the extreme meteorological disaster obtained after S5 is X + Y, removing the power grid element set of the fault set under the extreme meteorological disaster into N-X-Y to be used for executing S6, wherein N is all element sets in the power grid.
9. The method for stable control and assistant decision making of electric power system under extreme meteorological disaster according to claim 1, characterized in that:
in S6, the power grid element set for removing the fault set under the extreme meteorological disaster is N-X-Y, and static safety and stability analysis of the power grid is carried out on the power grid element set, wherein N is a set of all elements in the power grid, and specifically comprises the following steps:
and determining the type and boundary of the static safety and stability analysis fault of the power grid based on the N-X-Y set, carrying out the static safety and stability analysis of the power grid under extreme meteorological disasters on the basis of the real-time operation data of the power grid, calculating key variable values of the power system, and visually displaying the static operation risk of the power grid.
10. The method for stability control and aid decision making of electric power system under extreme meteorological disaster according to claim 1, wherein:
in S5, the power grid element set for removing the fault set under the extreme meteorological disaster is N-X-Y, and power grid dynamic safety and stability analysis is carried out on the power grid element set, specifically:
and determining a dynamic security and stability analysis disturbance form and a time scale of the power grid based on the N-X-Y set, depicting a key variable motion track of the power system in a time domain, depicting a characteristic root track development trend of the system in a frequency domain, and visually displaying dynamic operation risks of the power grid.
11. The method for stable control and assistant decision making of electric power system under extreme meteorological disaster according to claim 1, characterized in that:
and S7, according to the static and dynamic safety and stability analysis conditions, an overall control scheme of the provincial power grid under the extreme meteorological disaster, including a prevention control strategy, a defense strategy, an emergency response strategy and a recovery strategy, is formulated.
12. Electric power system stable control and aid decision-making system under extreme meteorological disaster, its characterized in that:
the stability control and aid decision system is used for realizing the stability control and aid decision method of the power system under the extreme meteorological disaster as claimed in any one of claims 1 to 11.
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