A method for pre-dispatching power equipment in flood

Abstract

The application discloses a kind of water disaster power equipment pre-dispatching method.In order to overcome the problem that in prior art, when risk analysis and scheduling are carried out on power system equipment under extreme precipitation state, the influence of load shedding cost and power outage time on users cannot be comprehensively considered, so that reasonable pre-scheduling cannot be carried out on power equipment, the application adopts S1: collecting the load level and topology structure of power grid equipment, establishing precipitation model and direct current optimal power flow model;S2: predict the future precipitation condition by using precipitation coefficient, perform power constraint according to the direct current optimal power flow model, and estimate the operation risk of power grid equipment in combination with the precipitation condition;S3: divide the risk level according to the operation risk of power grid equipment, and implement different scheduling measures respectively.Minimize the negative impact of disaster and power outage time on users as much as possible, and effectively and quickly repair the power equipment by grade, to ensure the safety of equipment operation and minimize the loss.

Description

Technical Field

[0001] This invention relates to the field of pre-dispatch of power equipment under extreme precipitation, and more particularly to a method for pre-dispatch of power equipment during floods. Background Technology

[0002] Current technologies for dealing with extreme precipitation mostly rely on precipitation and water level monitoring for early warning, followed by emergency repairs and dispatching resources when incidents occur. However, this approach suffers from several drawbacks: firstly, monitoring points cannot provide complete coverage; secondly, the deterministic nature of these monitoring methods results in short response times; and thirdly, existing prevention and control measures lack the risk perception capabilities to account for the uncertainty of disasters. In the context of frequent, unpredictable extreme disasters, how to utilize advanced sensing and measurement methods and intelligent technologies to construct an early warning system for urban flooding risks in power facilities, and improve emergency response capabilities to highly uncertain risks, has become a crucial aspect of urban infrastructure safety.

[0003] For example, a "Comprehensive Risk Assessment Method, Device, Electronic Equipment, and Storage Medium for Natural Disasters" disclosed in Chinese patent literature, publication number CN114254963B, includes: extracting multiple indicator features from prediction indicators, pressure indicators, state indicators, and response indicators to construct a comprehensive risk indicator system for natural disasters; calculating the weights of each level of indicators using the analytic hierarchy process (AHP); acquiring natural disaster data for the target area; normalizing the natural disaster data to obtain the indicator values ​​of the lowest-level indicators; calculating the comprehensive risk level index of natural disasters in the target area based on the indicator values ​​and weights of each level of indicators; and determining the comprehensive risk level of natural disasters in the target area based on the comprehensive risk level index of natural disasters in the target area. This application can achieve comprehensive risk assessment of natural disasters in the target area. Summary of the Invention

[0004] This invention primarily addresses the problem in existing technologies where, during risk analysis and scheduling of power system equipment under extreme precipitation conditions, the impact of load shedding costs and power outage time on users cannot be comprehensively considered, thus hindering reasonable pre-scheduling of power equipment. It provides a flood-related power equipment pre-allocation method that, while considering precipitation coefficients and outage rates, minimizes the negative impact of power outage time on users, and enables effective and rapid, tiered repair of power equipment, ensuring equipment operational safety and minimizing losses.

[0005] The above-mentioned technical problems of the present invention are mainly solved by the following technical solutions:

[0006] This invention includes: S1: collecting load levels and topology data of power grid equipment, and establishing a precipitation model and a DC optimal power flow model; S2: predicting future precipitation using precipitation coefficients, applying power constraints based on the DC optimal power flow model, and estimating the operational risk of power grid equipment based on precipitation data; S3: classifying risk levels according to the operational risk of power grid equipment and implementing different dispatching measures accordingly. In the event of severe rainstorms, to avoid power leakage endangering safety, power lines and equipment at risk should be promptly disconnected based on the actual flooding situation to ensure safety. Therefore, this solution is based on the pre-disaster conditions caused by extreme precipitation, rationally pre-allocating precipitation and regional data to minimize power grid losses and power outage losses.

[0007] Preferably, in S1.1: real-time geographic environment information of each power grid device is obtained through the power grid topology. Based on this real-time geographic environment information and the relationship between precipitation and precipitation intensity, a precipitation coefficient model is established as follows:

[0008]

[0009] Where I represents the precipitation intensity. denoted as t1 to t2, where t1 represents the rainfall, t2 represents the drainage capacity within the power grid area, and t3 represents the geographical environment information within the power grid area.

[0010] Preferably, S1.2:

[0011]

[0012] Obtain information about power grid equipment and establish the aforementioned optimal DC power flow model.

[0013] As a preferred embodiment, in the aforementioned DC optimal power flow model... Let be the power generation of the ge-th power source when the load level on node i is l. Let represent the reserve power of the gr-th power source when the load level at node i is l. NG, NR, NC, NS, and NH represent the number of power sources in the grid equipment, the number of backup power sources, the number of backup power sources providing load shedding, the number of backup power sources providing load transfer, and the number of grid nodes, respectively. These include power equipment switching, backup power supply switching, grid node switching, load transfer to backup power supply, and the cost of load shedding during power outages. The power outage cost is when the load level on node i is l.

[0014] Preferably, the S2: power generation reserve capacity constraint is:

[0015] in and The upper and lower limits of generator output are defined; the demand-side reserve capacity constraint is as follows:

[0016] in and The upper and lower limits for reserves on the power generation side.

[0017] Preferably, in S3.1: if the precipitation coefficient of the location of a single power equipment is greater than 250 mm / d and the generator output is less than... And the reserve on the power generation side is less than If the power equipment is classified as Level 1 high risk, meaning it is located in an area with high rainfall, low elevation, and high power outage rate, it should be prioritized for power outage before the flood arrives, and personnel should be evacuated first. The power should be supplied to the energy storage and grid by Level 2 medium risk and Level 3 low risk equipment.

[0018] Preferably, in S3.2: if the precipitation coefficient of the location of a single power equipment is within the range of 49 to 250 mm / d and the generator output meets the requirements... Power generation side reserve requirement If the power equipment is determined to be at level two medium risk, that is, high precipitation and high terrain but low power outage rate, or low precipitation and low terrain and low power outage rate, the equipment will continue to supply power to the grid and energy storage until the level one high risk equipment is transferred. After the level one high risk equipment is transferred, a power outage transfer will be carried out, and the level three low risk equipment and energy storage will jointly supply power to the grid.

[0019] Preferably, S3.3 states that if the precipitation coefficient is less than 49 mm / d and the generator output meets the requirements... And the power generation side has sufficient reserves. The power equipment is then determined to be at a low-risk level (Level 3), meaning low rainfall, high terrain, and low power outage rate. Power supply will continue after Level 1 high-risk equipment and Level 2 medium-risk equipment are de-energized and relocated. When the regional danger level increases, power outages will be implemented without relocation. When the risk level continues to increase to Level 1 high-risk equipment, meaning there is a risk of flooding due to a sharp increase in rainfall, power outages and relocation measures will be implemented.

[0020] The beneficial effects of this invention are:

[0021] 1. This scheme provides a method for pre-allocation of power equipment during floods, which can promptly inform dispatchers of the risk level of each power grid device before a flood occurs, and promptly report the progress of emergency rescue to the dispatchers.

[0022] 2. The proposed flood disaster power equipment pre-dispatch method can quickly implement prepared disaster reduction and relief emergency actions according to different risk levels, can minimize equipment failure and reduce overall power outage losses to the greatest extent possible, and fully considers the differences in the importance of different equipment in power grid dispatch to optimize dispatch strategies.

[0023] 3. The flood disaster power equipment pre-dispatch method proposed in this plan can maximize equipment safety after a disaster occurs, arrange tiered emergency repair work, reduce power grid operation losses, and ensure the safe use of the power grid. Attached Figure Description

[0024] Figure 1 This is a flowchart of a flood disaster power equipment pre-dispatch method according to the present invention. Detailed Implementation

[0025] The technical solution of the present invention will be further described in detail below through embodiments and in conjunction with the accompanying drawings.

[0026] Example:

[0027] This embodiment provides a method for pre-dispatch of power equipment during floods, such as... Figure 1 As shown, it includes the following steps:

[0028] 1. Collect the load level and topology of the power grid equipment, and establish a precipitation model and a DC optimal power flow model.

[0029] (1) Obtain real-time geographic environment information of each power grid device through the power grid topology. Combined with the relationship between precipitation and precipitation intensity, establish the precipitation coefficient model as follows:

[0030]

[0031] Where I represents the precipitation intensity. denoted as t1 to t2, where t1 represents the rainfall, t2 represents the drainage capacity within the power grid area, and t3 represents the geographical environment information within the power grid area.

[0032] (2) Obtain power grid equipment information and establish a DC optimal power flow model:

[0033]

[0034] in, Let be the power generation of the ge-th power source when the load level on node i is l. Let represent the reserve power of the gr-th power source when the load level at node i is l. NG, NR, NC, NS, and NH represent the number of power sources in the grid equipment, the number of backup power sources, the number of backup power sources providing load shedding, the number of backup power sources providing load transfer, and the number of grid nodes, respectively. These include power equipment switching, backup power supply switching, grid node switching, load transfer to backup power supply, and the cost of load shedding during power outages. The power outage cost is when the load level on node i is l.

[0035] 2. Predict future precipitation using a precipitation coefficient model, apply power constraints based on the DC optimal power flow model, and estimate the operational risks of power grid equipment in conjunction with precipitation data.

[0036] The power generation reserve capacity constraint is: in and The upper and lower limits of generator output are defined; the demand-side reserve capacity constraint is as follows: in and The upper and lower limits for reserves on the power generation side.

[0037] 3. Classify risk levels according to the operational risks of power grid equipment and implement different dispatching measures accordingly.

[0038] (1) Dispatch of Level 1 High-Risk Equipment

[0039] If the precipitation coefficient of the location of a single power equipment is greater than 250 mm / d and the generator output is less than... And the reserve on the power generation side is less than If the power equipment is classified as Level 1 high risk, meaning it is located in an area with high rainfall, low elevation, and high power outage rate, it should be prioritized for power outage before the flood arrives, and personnel should be evacuated first. The power should be supplied to the energy storage and grid by Level 2 medium risk and Level 3 low risk equipment.

[0040] (2) Dispatch of medium-risk equipment at level two

[0041] If the precipitation coefficient at the location of a single power equipment is within the range of 49–250 mm / d, and the generator output meets the requirements... Power generation side reserve requirement If the power equipment is determined to be at level two medium risk, that is, high precipitation and high terrain but low power outage rate, or low precipitation and low terrain and low power outage rate, the equipment will continue to supply power to the grid and energy storage until the level one high risk equipment is transferred. After the level one high risk equipment is transferred, a power outage transfer will be carried out, and the level three low risk equipment and energy storage will jointly supply power to the grid.

[0042] (3) Level 3 low-risk equipment dispatch

[0043] If the precipitation coefficient is less than 49 mm / d and the generator output meets the requirements And the power generation side has sufficient reserves. The power equipment is then determined to be at a low-risk level (Level 3), meaning low rainfall, high terrain, and low power outage rate. Power supply will continue after Level 1 high-risk equipment and Level 2 medium-risk equipment are de-energized and relocated. When the regional danger level increases, power outages will be implemented without relocation. When the risk level continues to increase to Level 1 high-risk equipment, meaning there is a risk of flooding due to a sharp increase in rainfall, power outages and relocation measures will be implemented.

[0044] It should be understood that the embodiments are for illustrative purposes only and are not intended to limit the scope of the invention. Furthermore, it should be understood that after reading the teachings of this invention, those skilled in the art can make various alterations or modifications to the invention, and these equivalent forms also fall within the scope defined by the appended claims.

Claims

1. A method for pre-dispatching a power device in a flood, characterized in that, The method comprises the following steps: S1, collecting load levels and topological structures of power grid equipment, establishing a precipitation coefficient model and a direct current optimal power flow model; S2, predicting future precipitation conditions by using the precipitation coefficient model, performing power constraints on generator unit output and demand side reserve capacity according to the direct current optimal power flow model, and estimating power grid equipment operation risks in combination with the precipitation conditions; the direct current optimal power flow model is constructed based on power equipment switching, standby power source switching, power grid node switching, load transfer to standby power sources and power outage load shedding cost as variables to minimize total cost as an objective; S3, dividing risk levels according to the power grid equipment operation risks: determining as high risk when the precipitation coefficient is greater than 250 mm / d and the generator unit output is less than the lower limit and the demand side reserve capacity is less than the upper limit; determining as medium risk when the precipitation coefficient is in the interval of 49-250 mm / d and the generator unit output and the demand side reserve capacity both satisfy the constraint conditions; determining as low risk when the precipitation coefficient is less than 49 mm / d and the generator unit output and the demand side reserve capacity both satisfy the constraint conditions; and respectively implementing different dispatching measures according to the risk levels.

2. The method of claim 1, wherein, In step S1, real-time geographical environment information of each power grid equipment is obtained through power grid topological structures, real-time geographical environment information is obtained, a precipitation coefficient model is established in combination with a corresponding relationship between precipitation and precipitation intensity, and the precipitation coefficient model is as follows: where I is the intensity of precipitation, is the rainfall amount in the time interval t1to t2, Cd is the drainage capacity in the power grid area, and Ge is the geographical environmental information in the power grid area.

3. The method of claim 2, wherein, The specific method for establishing the above direct current optimal power flow model is as follows: The power grid equipment information is acquired, and the direct current optimal power flow model is established, wherein, is the power generation of the ge-th power supply when the load level of the node i is l, is the standby capacity of the gr-th power supply when the load level of the node i is l, NG, NR, NC, NS, and NH are respectively the number of power supply, the number of standby power supply, the number of standby power supply providing load reduction, the number of standby power supply providing load transfer, and the number of power grid nodes, are respectively the switching cost of power equipment, the switching cost of standby power supply, the switching cost of power grid node, the load transfer cost to standby power supply, and the load shedding cost, is the power outage cost when the load level of the node i is l.

4. The method of claim 3, wherein, In step S2, the generator set output constraint is: wherein and are upper and lower limits of the genset output.

5. A method of pre-coordinating a water disaster power device according to claim 4, wherein In step S2, the demand-side reserve capacity constraint is: wherein and is the upper and lower limit of the demand side reserve capacity.

6. A method of pre-coordinating a water disaster power device according to claim 5, wherein In step S3, if the location of the single power equipment is greater than 250 mm / d, the generator set output is less than and the demand side backup capacity is less than then it is determined that the power equipment is in a high risk level, and the optimal power-off treatment is carried out before the flood, and personnel are dispatched in priority, and the equipment in the second medium risk level and the third low risk level is powered by energy storage and power grid.

7. A method of pre-coordinating a water disaster power device according to claim 6, wherein In step S3, if the single power equipment is located in the position with the precipitation coefficient in the interval of 49-250 mm / d, and the generator set output meets the demand side backup capacity meets it is determined that the power equipment is in the second-grade medium risk. The equipment continues to supply power to the grid and the energy storage before the transfer of the first-grade high-risk equipment is completed, and adopts power-off transfer after the transfer of the first-grade high-risk equipment is completed, and the grid is supplied with power by the third-grade low-risk equipment and the energy storage.

8. The method of claim 7, wherein, In step S3, if the precipitation coefficient is less than 49 mm / d, the generator set output meets and the demand-side backup capacity meets it is determined that the power equipment is in a three-grade low-risk state, it still maintains power supply after the power transfer of the one-grade high-risk equipment and the two-grade medium-risk equipment is interrupted, and it takes the power interruption but not transfer measure when the regional risk level is improved, and takes the power interruption and transfer measure when the risk level continues to improve to the one-grade high-risk equipment.

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