Method and system for optimizing deployment of mobile ice melting device

Abstract

The invention discloses a deployment optimization method and system for a mobile ice melting device, and belongs to the technical field of electrical engineering. The method comprises the following steps: acquiring line parameters of an iced line; according to the rated parameters of the mobile ice melting device, respectively calculating ice melting current under the first ice melting mode and the second ice melting mode, and respectively calculating ice melting time under the first ice melting mode and the second ice melting mode by combining the line parameters of the ice-coated line and a Bolgers-Dov empirical formula; setting an optimal ice melting knife gate switching mode under the first ice melting mode and the second ice melting mode, and solving the shortest ice melting time according to the ice melting time under the first ice melting mode and the second ice melting mode; and solving the minimum total ice melting time length, and selecting the mobile ice melting device corresponding to the minimum total ice melting time length to realize deployment and deployment optimization of the mobile ice melting device. The movable ice melting device is timely allocated to the station, ice melting work is timely carried out, and serious accidents of line breaking and tower falling caused by further expansion of ice disasters are avoided.

Description

Technical Field

[0001] The present invention belongs to the technical field of electrical engineering, and more specifically, relates to an optimization method and system for the deployment of mobile ice melting devices. Background Art

[0002] The power system usually transmits electricity over long distances through overhead lines, so it needs to withstand the influence of various adverse weather conditions. Among the various adverse weather conditions suffered, the ice disaster often causes more serious losses to the power grid. After the transmission line is covered with ice, it will either cause ice flash, or in severe cases, the weight of the line tower will increase due to ice covering, resulting in tower collapse and wire breakage, and even power grid disconnection and paralysis.

[0003] The DC ice melting technology usually constructs a rectifying device in the line substation with ice melting requirements, converts the alternating current in the power grid into direct current and sends it into the line to be melted, and uses the current heating effect to melt the ice covering on the line. It is the most effective and widely used ice melting method for transmission lines of 220 kV and above. However, the construction investment of the fixed ice melting device is relatively large, and it can only melt ice for fixed lines, with poor flexibility. The mobile DC ice melting device can realize ice melting in multiple scenarios and is convenient to move, but it often requires a certain amount of time for deployment and wiring. With the development of ice covering on the line, the pressure on the line and tower gradually increases, and the probability of serious faults gradually increases. Moreover, adverse weather such as freezing rain occurs frequently, making the development of ice covering on the line extremely rapid. Therefore, a method for deploying a suitable mobile ice melting device to the station in time to carry out ice melting work is needed to avoid serious accidents caused by untimely ice melting. Summary of the Invention

[0004] To solve the deficiencies in the prior art, the present invention provides an optimization method and system for the deployment of mobile ice melting devices, which uses the line parameters of the ice-covered line to calculate parameters such as the ice melting current and ice melting power that may be required, and timely deploys ice melting equipment to realize an hourly prediction method for DC ice melting parameters of transmission lines, avoiding the further development of ice disaster accidents.

[0005] The present invention adopts the following technical solutions.

[0006] The first aspect of the present invention provides an optimization method for the deployment of mobile ice melting devices, including:

[0007] Obtain the line parameters of the ice-covered line;

[0008] Calculate the ice melting current under the first ice melting method and the second ice melting method respectively according to the rated parameters of the mobile ice melting device;

[0009] Calculate the ice melting time under the first ice melting method and the second ice melting method respectively according to the line parameters of the ice-covered line and the ice melting current under the first ice melting method and the second ice melting method, in combination with the Burgersdorff empirical formula;

[0010] Set the optimal switching mode of the ice melting disconnector under the first ice melting mode and the second ice melting mode, and solve for the shortest ice melting time based on the ice melting time under the first ice melting mode and the second ice melting mode.

[0011] Based on the shortest ice melting time, with the constraint that the maximum output current of the mobile ice melting device is greater than the ice melting current required by the line and the maximum output power of the mobile ice melting device is greater than the ice melting power required by the line, solve for the minimum total ice melting duration, select the mobile ice melting device corresponding to the minimum total ice melting duration, and achieve the optimization of the deployment of the mobile ice melting device.

[0012] Preferably, the obtaining of the line parameters of the ice-covered line includes:

[0013] Line voltage level, single-phase wire resistance R0, wire diameter d, maximum ice layer thickness b of the wire, maximum outer diameter D of the wire after icing, and climate weather forecast data.

[0014] Preferably, the calculating of the ice melting current under the first ice melting mode and the second ice melting mode according to the rated parameters of the mobile ice melting device specifically includes:

[0015] Select a mobile ice melting device with the rated voltage on the AC side being the same as the low-voltage side voltage or the switchgear voltage of the substation;

[0016] Combined with the single-phase wire resistance R0, calculate the ice melting resistance under the first ice melting mode and the second ice melting mode;

[0017] According to the ice melting resistance under the first ice melting mode and the second ice melting mode, calculate the ice melting current under the first ice melting mode and the second ice melting mode.

[0018] Preferably, the combining of the single-phase wire resistance R0 to calculate the ice melting resistance under the first ice melting mode and the second ice melting mode specifically includes:

[0019] Under the first ice melting mode, the two-phase lines of the ice melting circuit are in series, and the first ice melting resistance is set to be 2 times the single-phase wire resistance;

[0020] Under the second ice melting mode, the two-phase lines of the ice melting circuit are in parallel and then in series with the third phase line, and the second ice melting resistance is set to be 1.5 times the single-phase wire resistance.

[0021] Preferably, the calculating of the ice melting current under the first ice melting mode and the second ice melting mode according to the ice melting resistance under the first ice melting mode and the second ice melting mode specifically includes:

[0022] According to the rated current I0 and rated power P0 of the mobile ice melting device, calculate the rated ice melting resistance;

[0023] If the rated ice melting resistance is less than the second ice melting resistance, set the square root of the rated power divided by the first ice melting resistance as the output ice melting current in the first ice melting mode, and set the square root of the rated power divided by the second ice melting resistance as the output ice melting current in the second ice melting mode;

[0024] If the rated ice melting resistance is greater than the second ice melting resistance and less than the first ice melting resistance, set the square root of the rated power divided by the first ice melting resistance as the output ice melting current in the first ice melting mode, and set the rated current as the output ice melting current in the second ice melting mode;

[0025] If the rated ice melting resistance is greater than the first ice melting resistance, the output ice melting currents in both ice melting modes are equal. Set the rated current as the output ice melting current in the first ice melting mode and the output ice melting current in the second ice melting mode.

[0026] Preferably, calculating the ice melting times in the first ice melting mode and the second ice melting mode according to the line parameters of the ice-covered line and the ice melting currents in the first ice melting mode and the second ice melting mode, and combining with the Burgersdorff empirical formula specifically includes:

[0027] Sum the equivalent thermal resistance of convection and radiation and the equivalent thermal resistance of ice layer conduction. Multiply the temperature difference between the wire temperature and the outside air temperature by the ice melting time and divide by the sum of the thermal resistances to obtain the heat loss caused by the environmental temperature difference;

[0028] Calculate the latent heat required for ice layer melting according to the relative density of ice, the wire diameter, and the maximum ice layer thickness on the wire;

[0029] Solve the thermal resistance heat loss under the combined action of internal heat conduction and external convection and radiation heat dissipation in the ice layer;

[0030] Sum the heat loss caused by the environmental temperature difference, the latent heat required for ice layer melting, and the thermal resistance heat loss, and equate them to the Joule heat generated by the ice melting currents in the first ice melting mode and the second ice melting mode during the ice melting time, and solve to obtain the ice melting times in the first ice melting mode and the second ice melting mode respectively.

[0031] Preferably, setting the optimal switching mode of the ice melting disconnecting switch in the first ice melting mode and the second ice melting mode, and solving for the shortest ice melting time according to the ice melting times in the first ice melting mode and the second ice melting mode specifically includes:

[0032] When using the first ice melting mode, set the optimal switching mode of the ice melting disconnecting switch as series ice melting of AB phases for 0.5 times the ice melting time in the first ice melting mode, series ice melting of AC phases for 0.5 times the ice melting time in the first ice melting mode, and series ice melting of BC phases for 0.5 times the ice melting time in the first ice melting mode. Solve to obtain that the optimal ice melting time in the first ice melting mode is equal to 1.5 times the ice melting time in the first ice melting mode;

[0033] Using the second ice melting method, set the optimal ice melting switch disconnector switching method as ice melting with AB phases in parallel and then in series with C phase times the ice melting time under the second ice melting method, ice melting with AC phases in parallel and then in series with B phase times the ice melting time under the second ice melting method, ice melting with BC phases in parallel and then in series with A phase times the ice melting time under the second ice melting method, completely complete the ice melting work of the three-phase conductors, and solve to obtain that the optimal ice melting time under the second ice melting method is equal to 2 times the ice melting time under the second ice melting method;

[0034] Set the minimum ice melting time among the optimal ice melting times of the first ice melting method and the second ice melting method as the shortest ice melting time.

[0035] Preferably, based on the shortest ice melting time, with the constraint that the maximum output current of the mobile ice melting device is greater than the ice melting current required by the line and the maximum output power of the mobile ice melting device is greater than the ice melting power required by the line, solve for the minimum total ice melting duration, and select the mobile ice melting device corresponding to the minimum total ice melting duration, which specifically includes:

[0036] Select the mobile ice melting devices in the area where the ice-covered line is located that satisfy the condition that the maximum output current of the mobile ice melting device is greater than the ice melting current required by the line and the maximum output power of the mobile ice melting device is greater than the ice melting power required by the line, and obtain the screened mobile ice melting devices;

[0037] Sum up the shortest ice melting time, the time to reach the ice-covered line, and the total layout time of all the screened mobile ice melting devices respectively, to obtain the total time required for the ice melting work of all the mobile ice melting devices in the area where the ice-covered line is located. Among them, set the time required for arranging the ice melting site and connecting the low-voltage switchgear or low-voltage bus with cables as the total layout time;

[0038] Select the mobile ice melting device corresponding to the minimum total ice melting work time from the total time required for the ice melting work of all the mobile ice melting devices in the area where the ice-covered line is located for deployment.

[0039] Preferably, the ice melting power required by the line includes:

[0040] Multiply the ice-covered thickness, the conductor perimeter, the conductor length, and the density of ice to obtain the ice-covered mass;

[0041] Based on the ice-covered mass, multiply the specific heat capacity of ice and the temperature difference between the initial temperature of ice and the melting point to solve for the heat required to heat the ice from the initial temperature to the melting point;

[0042] Based on the ice-covered mass multiplied by the latent heat of fusion of ice, obtain the heat required for ice to melt from solid state to liquid state at 0°C;

[0043] Add the heat required to heat the ice from the initial temperature to the melting point to the heat required for the ice to melt from the solid state to the liquid state at 0°C to obtain the total required heat;

[0044] Divide the total required heat by the allowed maximum ice melting time to obtain the ice melting power required for the line.

[0045] The second aspect of the present invention provides a deployment optimization system for a mobile ice melting device, which runs the deployment optimization method for a mobile ice melting device described in the first aspect, and specifically includes:

[0046] A line parameter acquisition module for acquiring the line parameters of the ice-covered line;

[0047] An ice melting current solving module for calculating the ice melting currents in the first ice melting mode and the second ice melting mode respectively according to the rated parameters of the mobile ice melting device;

[0048] An ice melting time solving module for calculating the ice melting times in the first ice melting mode and the second ice melting mode respectively according to the line parameters of the ice-covered line and the ice melting currents in the first ice melting mode and the second ice melting mode, in combination with the Burgersdorf empirical formula;

[0049] A minimum ice melting time solving module for setting the optimal ice melting switch disconnector switching mode in the first ice melting mode and the second ice melting mode, and solving the shortest ice melting time based on the ice melting times in the first ice melting mode and the second ice melting mode;

[0050] A deployment module for solving the minimum total ice melting duration with the constraint that the maximum output current of the mobile ice melting device is greater than the ice melting current required for the line and the maximum output power of the mobile ice melting device is greater than the ice melting power required for the line according to the shortest ice melting time, and selecting the mobile ice melting device corresponding to the minimum total ice melting duration to realize the deployment optimization of the mobile ice melting device.

[0051] Compared with the prior art, the beneficial effects of the present invention at least include:

[0052] In the present invention, the ice melting current and ice melting power required for ice melting are solved according to the ice-covered line parameters, and a suitable type of mobile ice melting equipment is pre-allocated to the site to carry out ice melting work, avoiding serious accidents such as insulator flashover leading to tripping or even line breakage and tower collapse due to untimely ice melting;

[0053] By constructing the first ice melting mode and the second ice melting mode, dynamically selecting the working mode in combination with the device rated parameters, the ice melting efficiency is improved, and the waste of ice melting resources is avoided;

[0054] Introduce real-time data of the tension ice-covered sensor to correct the maximum ice layer thickness, integrate meteorological parameters such as wind speed and temperature, improve the Burgersdorf formula, and improve the time prediction accuracy;

[0055] Adopt a dynamic optimization scheduling method to reduce the scheduling time-consuming and direct economic losses. Description of the Drawings

[0056] Figure 1 It is a schematic diagram of the flow of the optimization method for the deployment of a mobile de-icing device provided according to an embodiment of the present invention;

[0057] Figure 2 It is a schematic diagram of deploying a mobile de-icing vehicle provided according to an embodiment of the present invention. Detailed Embodiments

[0058] To make the objectives, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. The described embodiments are only a part of the embodiments of the present invention, rather than all embodiments. Based on the spirit of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0059] As Figure 1 shown, Embodiment 1 of the present invention provides an optimization method for the deployment of a mobile de-icing device, including the following steps:

[0060] Step 1: Obtain the line parameters of the ice-covered line.

[0061] In a preferred but non-limiting embodiment of the present invention, Step 1 includes:

[0062] Obtain the line parameters of the ice-covered line, including the line voltage level, the single-phase wire resistance R0 at 0°C, the wire diameter d, the maximum ice layer thickness b of the wire, the maximum outer diameter D of the wire after icing, and the climate weather forecast data.

[0063] Further preferably, the wire diameter d is obtained according to the line parameters, the maximum ice layer thickness b of the wire is obtained by taking the maximum value from the ice thickness data collected by the tension ice-covered sensor set on the line tower, and the maximum outer diameter D of the wire after icing is obtained by summing the maximum ice layer thickness of the wire and the wire diameter; the climate weather forecast data includes the average temperature t i in the i-th hour in the area where the line is located, and the wind speed v i , where i is the number of hours predicted by the weather forecast.

[0064] Step 2: Calculate the de-icing currents under the first de-icing method and the second de-icing method respectively according to the rated parameters of the mobile de-icing device.

[0065] In a preferred but non-limiting embodiment of the present invention, Step 2 includes:

[0066] Step 2.1: Select a mobile de-icing device with the same rated AC voltage as the low-voltage side voltage of the substation or the switchgear voltage.

[0067] Step 2.2: Calculate the de-icing resistance under two de-icing methods in combination with the single-phase wire resistance R0.

[0068] Further preferably, Step 2.2 includes:

[0069] In the first de-icing method, the de-icing circuit is two-phase lines in series, so the first de-icing resistance R 1-1 = 2·R0;

[0070] In the second de-icing method, the de-icing circuit is two-phase lines in parallel and then in series with the third-phase line, so the second de-icing resistance R 1-2 = R0 + 0.5·R0 = 1.5·R0.

[0071] Step 2.3: Calculate the de-icing current under two de-icing methods according to the de-icing resistance obtained in Step 2.2.

[0072] Further preferably, Step 2.3 includes:

[0073] According to the mobile de-icing device, that is, the rated current I0 and rated power P0 of the mobile de-icing vehicle, calculate the rated de-icing resistance

[0074] If the rated de-icing resistance is less than the second de-icing resistance, that is, R < R 1-2 , set the square root of the rated power and the first de-icing resistance as the output de-icing current in the first de-icing method, that is Set the square root of the rated power and the second de-icing resistance as the output de-icing current in the second de-icing method, that is

[0075] If the rated de-icing resistance is greater than the second de-icing resistance and less than the first de-icing resistance, that is, R 1-2 < R < R 1-1 , set the square root of the rated power and the first de-icing resistance as the output de-icing current in the first de-icing method, that is Set the rated current as the output de-icing current I in the second de-icing method r,2 = I0;

[0076] If the rated de-icing resistance is greater than the first de-icing resistance, that is, R > R 1-1 , then under both de-icing methods, the output de-icing currents are equal, and set the rated current as the output de-icing current in the first de-icing method and the output de-icing current in the second de-icing method, that is i r,1 = i r,2 = i0.

[0077] Step 3: Based on the line parameters of the ice-covered line obtained in Step 1 and the ice melting currents in the first ice melting method and the second ice melting method in Step 2, calculate the ice melting times in the first ice melting method and the second ice melting method respectively by combining with the Burgersdorff empirical formula.

[0078] In a preferred but non-limiting embodiment of the present invention, Step 3 includes:

[0079] Step 3.1: Sum the equivalent thermal resistance of convection and radiation and the equivalent thermal resistance of ice layer conduction, multiply the temperature difference between the wire temperature and the outside air temperature by the ice melting time, and divide the result by the sum of the thermal resistances to obtain the heat loss caused by the environmental temperature difference.

[0080] Step 3.2: Calculate the latent heat 10g0db required for ice layer melting according to the relative density of ice, the wire diameter, and the maximum ice layer thickness on the wire.

[0081] Step 3.3: Solve the thermal resistance heat loss under the combined action of internal heat conduction of the ice layer and external convection and radiation heat dissipation.

[0082] Step 3.4: Sum the heat loss caused by the environmental temperature difference, the latent heat required for ice layer melting, and the thermal resistance heat loss, and respectively equate them to the Joule heat generated by the ice melting current in the first ice melting method and the second ice melting method during the ice melting time. Solve the ice melting times in the first ice melting method and the second ice melting method respectively, which are expressed by the following formula:

[0083]

[0084] In the formula,

[0085] I r is the ice melting current. Substitute i r,2 and I r,1 into I r respectively and substitute them into formula (1) to solve the ice melting time corresponding to the ice melting method. R0 is the single-phase wire resistance at 0°C.

[0086] T r is the ice melting time. Respectively obtain the ice melting time T r,1 in the first ice melting method and the ice melting time T r,2 ,

[0087] Δt is the temperature difference between the wire temperature and the outside air temperature. The wire temperature is calculated as 0°C in the extreme case, so Δt = 0 - t i ,

[0088] g0 is the relative density of ice, taking 0.9 for glaze ice.

[0089] d is the wire diameter.

[0090] b is the maximum ice thickness on the conductor,

[0091] D is the outer diameter of the conductor after icing, D = d + 2b,

[0092] is the equivalent thermal resistance of convection and radiation, expressed by the following formula:

[0093]

[0094] In the formula,

[0095] v is the wind speed,

[0096] is the equivalent ice layer conduction thermal resistance, and the calculation formula is as follows:

[0097]

[0098] In the formula,

[0099] λ is the thermal conductivity, with the unit of watt per centimeter degree Celsius [W / (cm·℃)]. For glaze: λ = 2.27×10 -2 .

[0100] Step 4, set the optimal switching mode of the ice melting switch in the first ice melting mode and the second ice melting mode, and solve the shortest ice melting time according to the ice melting time in the first ice melting mode and the second ice melting mode.

[0101] In the preferred but non-limiting embodiment of the present invention, step 4 includes:

[0102] If the first ice melting mode is used, set the optimal switching mode of the ice melting switch to series ice melting of AB phases for 0.5T r,1 , series ice melting of AC phases for 0.5T r,1 , series ice melting of BC phases for 0.5T r,1 , which is used to completely complete the ice melting work of the three-phase conductor. Therefore, the optimal ice melting time T 3,1 = 1.5T r,1 , T r,1 represents the ice melting time in the first ice melting mode;

[0103] If the second ice melting mode is used, set the optimal switching mode of the ice melting switch to series ice melting of C phase after parallel connection of AB phases , series ice melting of B phase after parallel connection of AC phases , series ice melting of A phase after parallel connection of BC phases to completely complete the ice melting work of the three-phase conductor. Therefore, the optimal ice melting time T 3,2 = 2T r,2 , T r,2Indicates the ice melting time under the second ice melting method.

[0104] Step 5. Based on the shortest ice melting time, with the constraint that the maximum output current of the mobile ice melting device is greater than the ice melting current required by the line and the maximum output power of the mobile ice melting device is greater than the ice melting power required by the line, solve for the minimum total ice melting duration, and select the mobile ice melting device corresponding to the minimum total ice melting duration to optimize the deployment of the mobile ice melting device.

[0105] In a preferred but non-limiting embodiment of the present invention, step 5 includes:

[0106] Step 5.1. First, select the mobile ice melting devices in the area where the ice-covered line is located that satisfy the condition that the maximum output current of the mobile ice melting device is greater than the current required by the line and the maximum output power of the mobile ice melting device is greater than the ice melting power required by the line, to obtain the screened mobile ice melting devices.

[0107] Further preferably, the ice melting power required by the line includes:

[0108] Multiply the ice thickness, wire perimeter, wire length, and ice density to obtain the ice mass.

[0109] Based on the product of the ice mass, specific heat capacity of ice, and the temperature difference between the initial temperature of ice and its melting point, solve for the heat required to heat the ice from the initial temperature to the melting point.

[0110] Multiply the ice mass by the latent heat of fusion of ice to obtain the heat required for ice to melt from solid to liquid at 0°C.

[0111] Add the heat required to heat the ice from the initial temperature to the melting point and the heat required for ice to melt from solid to liquid at 0°C to obtain the total required heat.

[0112] Take the square root of the ratio of the total required heat to the wire resistance to obtain the ice melting current required by the line.

[0113] Divide the total required heat by the maximum allowed ice melting time to obtain the ice melting power required by the line.

[0114] Step 5.2. Sum the shortest ice melting time T3, the arrival time T1 at the ice-covered line, and the total layout time T2 of all the screened mobile ice melting devices respectively to obtain the total time required for the ice melting work of all the mobile ice melting devices in the area where the ice-covered line is located. Among them, the total layout time T2 represents the total layout time T2 required for arranging the ice melting site and connecting the low-voltage switchgear or low-voltage bus with cables. The connection of the ice melting system is as Figure 2 shown.

[0115] Step 5.3: From the total ice melting working time required for all mobile ice melting devices in the area where the ice-covered line is located, select the mobile ice melting device corresponding to the minimum ice melting working time for deployment, so as to optimize the deployment of the mobile ice melting device.

[0116] Embodiment 2 of the present invention provides a system for optimizing the deployment of mobile ice melting devices, which runs the method for optimizing the deployment of mobile ice melting devices described in Embodiment 1, including:

[0117] A line parameter acquisition module, which is used to acquire the line parameters of the ice-covered line;

[0118] An ice melting current solving module, which is used to calculate the ice melting currents under the first ice melting method and the second ice melting method respectively according to the rated parameters of the mobile ice melting device;

[0119] An ice melting time solving module, which is used to calculate the ice melting times under the first ice melting method and the second ice melting method respectively according to the line parameters of the ice-covered line and the ice melting currents under the first ice melting method and the second ice melting method, in combination with the Burgersdorf empirical formula;

[0120] A minimum ice melting time solving module, which is used to set the optimal ice melting switchblade switching method under the first ice melting method and the second ice melting method, and solve the shortest ice melting time based on the ice melting times under the first ice melting method and the second ice melting method;

[0121] A deployment module, which is used to solve the minimum total ice melting duration based on the shortest ice melting time, with the constraint that the maximum output current of the mobile ice melting device is greater than the ice melting current required by the line and the maximum output power of the mobile ice melting device is greater than the ice melting power required by the line, and select the mobile ice melting device corresponding to the minimum total ice melting duration to optimize the deployment of the mobile ice melting device.

[0122] Compared with the prior art, the beneficial effects of the present invention at least include:

[0123] In the present invention, the ice melting current and ice melting power required for ice melting are solved according to the line ice covering parameters, and a suitable type of mobile ice melting equipment is pre-allocated to the site to carry out ice melting work, so as to avoid serious accidents such as insulator flashover leading to tripping or even line breakage and tower collapse due to untimely ice melting;

[0124] By constructing the first ice melting method and the second ice melting method, dynamically selecting the working mode in combination with the device rated parameters, the ice melting efficiency is improved, and the waste of ice melting resources is avoided;

[0125] The real-time data of the tension ice covering sensor is introduced to correct the maximum ice layer thickness, and meteorological parameters such as wind speed and temperature are fused to improve the Burgersdorf formula, so as to improve the time prediction accuracy;

[0126] Adopt a dynamic optimization scheduling method to reduce scheduling time consumption and direct economic losses.

[0127] This disclosure may be a system, a method, and / or a computer program product. The computer program product may include a computer-readable storage medium having thereon computer-readable program instructions for causing a processor to implement various aspects of this disclosure.

[0128] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: the specific embodiments of the present invention can still be modified or equivalently replaced, and any modification or equivalent replacement without departing from the spirit and scope of the present invention should be covered by the protection scope of the claims of the present invention.

Claims

1. An optimization method for the deployment of a mobile de-icing device, characterized in that: Obtain the line parameters of the ice-covered line; Calculate the de-icing current under the first de-icing method and the second de-icing method respectively according to the rated parameters of the mobile de-icing device; Calculate the de-icing time under the first de-icing method and the second de-icing method respectively according to the line parameters of the ice-covered line and the de-icing current under the first de-icing method and the second de-icing method, and combine with the Burgersdorf empirical formula; Set the optimal de-icing switch disconnection method under the first de-icing method and the second de-icing method, and solve for the shortest de-icing time based on the de-icing time under the first de-icing method and the second de-icing method; Based on the shortest de-icing time, with the constraint that the maximum output current of the mobile de-icing device is greater than the de-icing current required by the line and the maximum output power of the mobile de-icing device is greater than the de-icing power required by the line, solve for the minimum total de-icing duration, select the mobile de-icing device corresponding to the minimum total de-icing duration, and realize the optimization of the deployment of the mobile de-icing device.

2. The optimization method for the deployment of a mobile de-icing device according to claim 1, characterized in that: The obtaining of the line parameters of the ice-covered line includes: Line voltage level, single-phase wire resistance R0, wire diameter d, maximum ice layer thickness b of the wire, maximum outer diameter D of the wire after icing, and climate weather forecast data.

3. The optimization method for the deployment of a mobile de-icing device according to claim 1, characterized in that: The calculation of the de-icing current under the first de-icing method and the second de-icing method according to the rated parameters of the mobile de-icing device specifically includes: Select a mobile de-icing device with the same rated voltage on the AC side as the low-voltage side voltage of the substation or the voltage of the switch cabinet; Combine with the single-phase wire resistance R0 to calculate the de-icing resistance under the first de-icing method and the second de-icing method; Calculate the de-icing current under the first de-icing method and the second de-icing method according to the de-icing resistance under the first de-icing method and the second de-icing method.

4. The optimization method for the deployment of a mobile de-icing device according to claim 3, characterized in that: The combination with the single-phase wire resistance R0 to calculate the de-icing resistance under the first de-icing method and the second de-icing method specifically includes: Under the first de-icing method, the two-phase lines of the de-icing circuit are connected in series, and the first de-icing resistance is set to 2 times the single-phase wire resistance; Under the second de-icing method, the two-phase lines of the de-icing circuit are connected in parallel and then connected in series with the third phase line, and the second de-icing resistance is set to 1.5 times the single-phase wire resistance.

5. The optimization method for the deployment of a mobile de-icing device according to claim 3 or 4, characterized in that: The calculation of the de-icing current under the first de-icing method and the second de-icing method according to the de-icing resistance under the first de-icing method and the second de-icing method specifically includes: Calculate the rated de-icing resistance according to the rated current I0 and rated power P0 of the mobile de-icing device; If the rated de-icing resistance is less than the second de-icing resistance, set the square root of the rated power and the first de-icing resistance as the output de-icing current under the first de-icing method, and set the square root of the rated power and the second de-icing resistance as the output de-icing current under the second de-icing method; If the rated ice melting resistance is greater than the second ice melting resistance and less than the first ice melting resistance, set the square root of the rated power and the first ice melting resistance as the output ice melting current in the first ice melting mode, and set the rated current as the output ice melting current in the second ice melting mode; If the rated ice melting resistance is greater than the first ice melting resistance, the output ice melting currents in both ice melting modes are equal. Set the rated current as the output ice melting current in the first ice melting mode and the output ice melting current in the second ice melting mode.

6. The deployment optimization method of a mobile ice melting device according to claim 1, characterized in that: Calculating the ice melting time in the first ice melting mode and the second ice melting mode according to the line parameters of the ice-covered line and the ice melting currents in the first ice melting mode and the second ice melting mode, and combining with the Burgersdorf empirical formula, specifically including: Sum the equivalent thermal resistance of convection and radiation and the equivalent thermal resistance of ice layer conduction. Multiply the temperature difference between the wire temperature and the outside air temperature by the ice melting time and divide by the sum of the thermal resistances to obtain the heat loss caused by the environmental temperature difference; Calculate the latent heat required for ice layer melting according to the relative density of ice, the wire diameter, and the maximum ice layer thickness on the wire; Solve the thermal resistance heat loss under the combined action of internal heat conduction and external convection and radiation heat dissipation in the ice layer; Sum the heat loss caused by the environmental temperature difference, the latent heat required for ice layer melting, and the thermal resistance heat loss, and equate them to the Joule heat generated by the ice melting currents in the first ice melting mode and the second ice melting mode during the ice melting time, respectively, and solve for the ice melting time in the first ice melting mode and the second ice melting mode, respectively.

7. The deployment optimization method of a mobile ice melting device according to claim 1, characterized in that: Setting the optimal ice melting switch disconnector switching mode in the first ice melting mode and the second ice melting mode, and solving for the shortest ice melting time according to the ice melting times in the first ice melting mode and the second ice melting mode, specifically including: When using the first ice melting mode, set the optimal ice melting switch disconnector switching mode as series ice melting of AB phases for 0.5 times the ice melting time in the first ice melting mode, series ice melting of AC phases for 0.5 times the ice melting time in the first ice melting mode, and series ice melting of BC phases for 0.5 times the ice melting time in the first ice melting mode. Solve for the optimal ice melting time in the first ice melting mode to be equal to 1.5 times the ice melting time in the first ice melting mode; Using the second ice melting method, set the optimal ice melting switch disconnector switching method as the series ice melting of the parallel connection of phases A and B with phase C times the ice melting time in the second ice melting method, the series ice melting of the parallel connection of phases A and C with phase B times the ice melting time in the second ice melting method, the series ice melting of the parallel connection of phases B and C with phase A times the ice melting time in the second ice melting method, completely complete the ice melting work of the three-phase conductors, and solve to obtain that the optimal ice melting time in the second ice melting method is equal to 2 times the ice melting time in the second ice melting method; Set the minimum ice melting time among the optimal ice melting times in the first ice melting mode and the second ice melting mode as the shortest ice melting time.

8. The deployment optimization method of a mobile ice melting device according to claim 1, characterized in that: Based on the shortest ice melting time, with the constraint that the maximum output current of the mobile ice melting device is greater than the ice melting current required by the line and the maximum output power of the mobile ice melting device is greater than the ice melting power required by the line, solve for the minimum total ice melting duration, and select the mobile ice melting device corresponding to the minimum total ice melting duration, specifically including: Select the mobile ice melting device in the area where the ice-covered line is located that satisfies the condition that the maximum output current of the mobile ice melting device is greater than the ice melting current required by the line and the maximum output power of the mobile ice melting device is greater than the ice melting power required by the line, to obtain the filtered mobile ice melting device; Sum up the shortest ice melting time, the time to reach the ice-covered line, and the total layout time of all the screened mobile ice melting devices respectively to obtain the total time required for the ice melting work of all the mobile ice melting devices in the area where the ice-covered line is located. Among them, set the time required for arranging the ice melting site and connecting the low-voltage switch cabinet or low-voltage busbar with cables as the total layout time; Select the mobile ice melting device corresponding to the minimum total time required for the ice melting work from the total time required for the ice melting work of all the mobile ice melting devices in the area where the ice-covered line is located for deployment.

9. A method for optimizing the deployment of a mobile ice melting device according to claim 8, characterized in that: The ice melting power required for the line includes: Multiply the ice thickness, the wire perimeter, the wire length, and the density of ice to obtain the ice mass; Based on the ice mass, the specific heat capacity of ice, and the temperature difference between the initial temperature of ice and its melting point, solve for the heat required to heat the ice from the initial temperature to the melting point; Multiply the ice mass by the latent heat of fusion of ice to obtain the heat required for ice to melt from solid state to liquid state at 0°C; Add the heat required to heat the ice from the initial temperature to the melting point and the heat required for ice to melt from solid state to liquid state at 0°C to obtain the total heat required; Divide the total heat required by the maximum allowed ice melting time to obtain the ice melting power required for the line.

10. A system for optimizing the deployment of a mobile ice melting device, which runs the method for optimizing the deployment of a mobile ice melting device according to any one of claims 1-9, characterized in that: A line parameter acquisition module, used to acquire the line parameters of the ice-covered line; An ice melting current solving module, used to calculate the ice melting currents in the first ice melting mode and the second ice melting mode respectively according to the rated parameters of the mobile ice melting device; An ice melting time solving module, used to calculate the ice melting times in the first ice melting mode and the second ice melting mode respectively according to the line parameters of the ice-covered line and the ice melting currents in the first ice melting mode and the second ice melting mode, in combination with the Burgersdorff empirical formula; A minimum ice melting time solving module, used to set the optimal ice melting switchblade switching mode in the first ice melting mode and the second ice melting mode, and solve for the shortest ice melting time based on the ice melting times in the first ice melting mode and the second ice melting mode; A deployment module, used to solve for the minimum total ice melting duration with the constraint that the maximum output current of the mobile ice melting device is greater than the ice melting current required for the line and the maximum output power of the mobile ice melting device is greater than the ice melting power required for the line based on the shortest ice melting time, and select the mobile ice melting device corresponding to the minimum total ice melting duration to achieve the optimization of the deployment of the mobile ice melting device.

Images