CN105956931A - Power distribution line dynamic capacity increasing auxiliary decision making method and system - Google Patents

Abstract

The invention discloses a dynamic capacity-increasing assistant decision-making method and system for a power distribution line. The method includes the following steps: S1. Obtain real-time monitoring data of the power distribution line, including operating parameters and micro-meteorological parameters, and monitor the detected data through a communication network The data is sent back to the auxiliary decision-making platform in a standardized format for analysis and decision-making; S2. Establish a transient model of the distribution wire thermal circuit based on the monitoring data, and calculate the maximum allowable current when the wire temperature reaches 70 degrees at the moment to be tested, and then derive The capacity of the line can be increased; S3, dynamically increase the capacity according to the obtained maximum allowable current, and judge whether the voltage at the end of the line has dropped below the standard requirement, and if it is lower than the standard, reduce the voltage drop; S4, according to the engineering economics Financial net present value analysis method for effect evaluation. The invention can fully tap the potential transmission capacity of the power distribution line, and at the same time reduce the waste of unnecessary investment such as replacing wires.

Description

An auxiliary decision-making method and system for dynamic capacity increase of distribution lines

technical field

The invention relates to the technical field of distribution network operation and maintenance reconstruction, in particular to a dynamic capacity-increasing auxiliary decision-making method and system for distribution lines.

Background technique

In recent years, with the accelerated pace of construction at the power supply side and the increase and diversity of power consumption at the load side, the problems of lagging distribution network planning and construction and insufficient power transmission capacity have become increasingly prominent. There are unreasonable wiring, long power supply radius, poor power supply quality, and line High loss, large peak-to-valley difference in distribution network, etc. According to the current ampacity of existing wires, it is the economical ampacity under the most severe condition of +70°C, but due to the differences in the operating environment and thermal effects of the wires, especially for areas with low annual average temperatures, the actual carrying capacity of the wires There is a lot of room for improvement in the maximum load capacity.

Aiming at the problem of increasing the capacity of the existing distribution network lines, a method is needed, which can use the online temperature of the line conductor, ambient temperature, wind speed, sunshine and ampacity according to the actual conditions of the operating climate and environment on the premise of ensuring the safety of the line operation. and other monitoring data, fully tap the capacity increase capacity of the line, and combine the increased corresponding power distribution equipment (such as voltage regulating transformer, reactive power compensation device, etc.) to ensure the quality of terminal voltage and other solutions. Finally, the financial net present value method is used to evaluate the economics of the scheme, so as to fully tap the potential transmission capacity of the distribution line and reduce the waste of redundant investment such as replacing wires.

Contents of the invention

The technical problem to be solved by the present invention is to provide a dynamic capacity-increasing assistant for power distribution lines that can fully exploit the capacity-increasing capacity of power lines according to the actual conditions of the operating climate environment in view of the defects of lagging distribution network planning and construction and insufficient power transmission capacity in the prior art. Decision-making methods and systems.

The technical solution adopted by the present invention to solve its technical problems is:

The present invention provides an auxiliary decision-making method for dynamic capacity increase of distribution lines, which includes the following steps:

S1. Obtain real-time monitoring data of distribution lines, including operating parameters and micro-meteorological parameters, and transmit the monitored data back to the auxiliary decision-making platform in a standardized format through the communication network for use in analysis and decision-making;

S2. Establish a transient model of the thermal circuit of the distribution wire according to the monitoring data, and calculate the maximum allowable current when the temperature of the wire reaches 70 degrees at the moment to be tested, and then deduce the size of the line that can increase the capacity;

S3. Dynamically increase the capacity according to the obtained maximum allowable current, and judge whether the voltage at the end of the line has dropped below the standard requirement, and if it is lower than the standard, reduce the voltage drop;

S4. Evaluate the effect according to the method of financial net present value analysis in engineering economics.

Further, the operating parameters in step S1 of the present invention include conductor temperature and conductor current; micro-meteorological parameters include ambient temperature, humidity, wind direction, wind speed, air pressure and sunshine intensity.

Further, the communication network in step S1 of the present invention adopts GPRS/3G/4G.

Further, the formula for calculating the maximum allowable current in step S2 of the present invention is:

${\mathrm{<span\; class="notranslate">\; I</span>}}_{\mathrm{<span\; class="notranslate">\; m</span>}\mathrm{<span\; class="notranslate">\; a</span>}\mathrm{<span\; class="notranslate">\; x</span>}}<span\; class="notranslate">\; =</span>\sqrt{\frac{\mathrm{<span\; class="notranslate">\; 70</span>}<span\; class="notranslate">\; -</span>{\mathrm{<span\; class="notranslate">\; \&theta;</span>}}_{\mathrm{<span\; class="notranslate">\; e</span>}}}{{\mathrm{<span\; class="notranslate">\; R</span>}}_{\mathrm{<span\; class="notranslate">\; x</span>}}{\mathrm{<span\; class="notranslate">\; R</span>}}_{\mathrm{<span\; class="notranslate">\; c</span>}}<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; \&theta;</span>}}_{\mathrm{<span\; class="notranslate">\; c</span>}}<span\; class="notranslate">\; )</span>}}$

Among them, θ _c is the temperature of the overhead wire, R _c (θ _c ) is the thermal resistance of the overhead wire at θ _c temperature, θ _e is the ambient temperature of the wire, and R _x is the ambient thermal resistance between the wire and the monitoring point.

Further, the formula for calculating the ambient thermal resistance in step S2 of the present invention is:

${\mathrm{<span\; class="notranslate">\; R</span>}}_{\mathrm{<span\; class="notranslate">\; x</span>}}<span\; class="notranslate">\; =</span>\frac{{\mathrm{<span\; class="notranslate">\; \&theta;</span>}}_{\mathrm{<span\; class="notranslate">\; c</span>}}<span\; class="notranslate">\; -</span>{\mathrm{<span\; class="notranslate">\; \&theta;</span>}}_{\mathrm{<span\; class="notranslate">\; e</span>}}}{{\mathrm{<span\; class="notranslate">\; W</span>}}_{\mathrm{<span\; class="notranslate">\; C</span>}}<span\; class="notranslate">\; -</span>{\mathrm{<span\; class="notranslate">\; C</span>}}_{\mathrm{<span\; class="notranslate">\; x</span>}}\frac{{\mathrm{<span\; class="notranslate">\; d\&theta;</span>}}_{\mathrm{<span\; class="notranslate">\; c</span>}}}{\mathrm{<span\; class="notranslate">\; d</span>}\mathrm{<span\; class="notranslate">\; t</span>}}}$

Among them, θ _c is the temperature of the overhead conductor, the ambient temperature of the θ _e conductor is located, C _x is the sum of the heat capacity C _x1 of the steel core of the steel-reinforced aluminum stranded wire and the heat capacity C _x2 of the aluminum of the steel-reinforced aluminum stranded wire, W _C =I ² R _c (θ _c ) is the heat generated by the wire itself.

Further, the method for reducing the voltage drop in step S3 of the present invention includes: increasing the source terminal voltage through an on-load adjustable transformer, adopting series compensation to reduce line reactance, and reducing line reactive power transmission through parallel compensation.

Further, the method for effect evaluation in step S4 of the present invention is specifically:

Calculate the difference between the electricity fee income after capacity increase and the cost of renovating equipment, labor costs, line loss costs, and maintenance costs, and record it as the financial net present value. Compare the financial net present value before and after dynamic capacity increase, and select the one with the largest net present value program as an economically viable solution.

The present invention provides an auxiliary decision-making system for dynamic capacity increase of distribution lines, including:

The monitoring data access unit is used to obtain real-time monitoring data of distribution lines, including operating parameters and micro-meteorological parameters, and transmit the monitored data back to the auxiliary decision-making platform in a standardized format through the communication network for analysis and decision-making;

Line thermal stability online checking unit, which is used to establish a thermal circuit transient model of distribution wires based on monitoring data, and calculate the maximum allowable current when the wire temperature reaches 70 degrees at the time to be tested, and then deduce the size of the line that can increase capacity;

The low-voltage analysis and management unit is used to dynamically increase the capacity according to the obtained maximum allowable current, and judge whether the voltage at the end of the line has dropped below the standard requirement, and if it is lower than the standard, reduce the voltage drop;

The effect evaluation unit is used for effect evaluation according to the method of financial net present value analysis in engineering economics.

The beneficial effects produced by the present invention are: the auxiliary decision-making method for dynamic capacity increase of distribution lines of the present invention, under the premise of ensuring the safety of line operation, according to the actual conditions of the operating climate environment, adopts the online temperature of the line wire, ambient temperature, wind speed, The monitoring data of sunshine and carrying capacity, etc., fully tap the line capacity increase capacity, and propose to increase the corresponding power distribution equipment (such as voltage regulating transformer, reactive power compensation device, etc.) to ensure the quality of terminal voltage, etc. Finally, the financial The method of net present value is used to evaluate the economics of the scheme, so as to fully tap the potential transmission capacity of the distribution line and reduce the waste of redundant investment such as replacing wires.

Description of drawings

The present invention will be further described below in conjunction with accompanying drawing and embodiment, in the accompanying drawing:

Fig. 1 is a flow chart of the auxiliary decision-making method for dynamic capacity increase of distribution lines according to an embodiment of the present invention;

Fig. 2 is a system block diagram of the auxiliary decision-making method for dynamic capacity increase of distribution lines according to an embodiment of the present invention;

Fig. 3 is the wire transient thermal circuit model considering wire temperature and ambient temperature of the auxiliary decision-making method for dynamic capacity increase of distribution lines according to the embodiment of the present invention;

Fig. 4 is a schematic diagram of calculating the voltage regulation gear of the on-load adjustable transformer of the auxiliary decision-making method for dynamic capacity increase of the distribution line according to the embodiment of the present invention;

Fig. 5 is a schematic diagram of capacitor series compensation of the auxiliary decision-making method for dynamic capacity increase of distribution lines according to an embodiment of the present invention;

Fig. 6 is a schematic diagram of capacitor parallel compensation of the distribution line dynamic capacity increase auxiliary decision-making method according to the embodiment of the present invention;

Fig. 7 is a functional block diagram of an auxiliary decision-making system for dynamic capacity increase of distribution lines according to an embodiment of the present invention.

detailed description

In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

As shown in Figure 1, the auxiliary decision-making method for dynamic capacity increase of distribution lines in the embodiment of the present invention includes the following steps:

S1. Obtain real-time monitoring data of distribution lines, including operating parameters and micro-meteorological parameters, and transmit the monitored data back to the auxiliary decision-making platform in a standardized format through the communication network for use in analysis and decision-making;

S2. Establish a transient model of the thermal circuit of the distribution wire according to the monitoring data, and calculate the maximum allowable current when the temperature of the wire reaches 70 degrees at the moment to be tested, and then deduce the size of the line that can increase the capacity;

S3. Dynamically increase the capacity according to the obtained maximum allowable current, and judge whether the voltage at the end of the line has dropped below the standard requirement, and if it is lower than the standard, reduce the voltage drop;

S4. Evaluate the effect according to the method of financial net present value analysis in engineering economics.

As shown in Figure 2, in another specific embodiment of the present invention, based on multi-dimensional data such as distribution line operating parameters and environmental parameters, the optimization of the decision-making scheme for increasing the capacity of the distribution line is realized, instead of replacing the transmission line or building a new distribution line. Lines and other single, extensive means to improve asset utilization. The specific steps are:

(1) Monitoring data access. The monitoring device monitors the operating parameters and micro-meteorological data of the power distribution line in real time, and transmits them back to the auxiliary decision-making platform through the GPRS/3G/4G communication network for analysis and decision-making by the following modules.

The monitoring data are mainly divided into two categories: one is the operating parameters of distribution lines, including conductor temperature and conductor current; the other is micro-meteorological parameters, including ambient temperature, humidity, wind direction, wind speed, air pressure and sunshine intensity.

(2) Line thermal stability online check. As shown in Figure 3, based on the theory of heat transfer, the thermal circuit transient model of distribution wires is established. In this model, the current of the wires, the temperature of the wires, the ambient temperature, and the AC resistance of the line are firstly used to calculate the environment at the time of measurement using the following calculation formula: Thermal resistance:

${\mathrm{<span\; class="notranslate">\; R</span>}}_{\mathrm{<span\; class="notranslate">\; x</span>}}<span\; class="notranslate">\; =</span>\frac{{\mathrm{<span\; class="notranslate">\; \&theta;</span>}}_{\mathrm{<span\; class="notranslate">\; c</span>}}<span\; class="notranslate">\; -</span>{\mathrm{<span\; class="notranslate">\; \&theta;</span>}}_{\mathrm{<span\; class="notranslate">\; e</span>}}}{{\mathrm{<span\; class="notranslate">\; W</span>}}_{\mathrm{<span\; class="notranslate">\; C</span>}}<span\; class="notranslate">\; -</span>{\mathrm{<span\; class="notranslate">\; C</span>}}_{\mathrm{<span\; class="notranslate">\; x</span>}}\frac{{\mathrm{<span\; class="notranslate">\; d\&theta;</span>}}_{\mathrm{<span\; class="notranslate">\; c</span>}}}{\mathrm{<span\; class="notranslate">\; d</span>}\mathrm{<span\; class="notranslate">\; t</span>}}}$

In the formula, θ _c is the temperature of the overhead wire; the ambient temperature of the θ _e wire is located; C _x is the sum of the heat capacity of the steel core C _x1 of the steel core aluminum stranded wire and the heat capacity C _x2 of the steel core aluminum stranded wire; W _C = I ² R _c (θ _c ) is the heat generated by the wire itself. I is the current carrying capacity of the wire; C _x ＝C _x1 +C _x2 , where C _x1 ＝C _g ρ _g s _g l _g , Cg, ρ _g , s _g , l _g are the specific heat capacity, density, and actual cross-section of the steel core respectively The area, length, and heat capacity C _x2 of aluminum are calculated in the same way as the steel core, and the corresponding parameters can be used for calculation.

Then use the monitoring data wire temperature, ambient temperature, and ambient thermal resistance, and use specific calculation formulas to calculate the maximum allowable current when the wire temperature reaches 70 degrees at the time of measurement, so as to deduce the size of the line that can increase the capacity and provide support for dynamic capacity increase. The formula for calculating the maximum allowable current is:

${\mathrm{<span\; class="notranslate">\; I</span>}}_{\mathrm{<span\; class="notranslate">\; m</span>}\mathrm{<span\; class="notranslate">\; a</span>}\mathrm{<span\; class="notranslate">\; x</span>}}<span\; class="notranslate">\; =</span>\sqrt{\frac{\mathrm{<span\; class="notranslate">\; 70</span>}<span\; class="notranslate">\; -</span>{\mathrm{<span\; class="notranslate">\; \&theta;</span>}}_{\mathrm{<span\; class="notranslate">\; e</span>}}}{{\mathrm{<span\; class="notranslate">\; R</span>}}_{\mathrm{<span\; class="notranslate">\; x</span>}}{\mathrm{<span\; class="notranslate">\; R</span>}}_{\mathrm{<span\; class="notranslate">\; c</span>}}<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; \&theta;</span>}}_{\mathrm{<span\; class="notranslate">\; c</span>}}<span\; class="notranslate">\; )</span>}}$

In the formula, θ _c is the temperature of the overhead wire; R _c (θ _c ) is the thermal resistance of the overhead wire at the temperature of θ _c ; θ _e is the ambient temperature of the wire. Rx _is the ambient thermal resistance between the wire and the monitoring point.

(3) Low voltage analysis and treatment. When the transmission power of the line increases, the voltage at the end of the line will drop, and in severe cases, it will be lower than the standard requirement. According to the voltage drop formula, an on-load adjustable transformer can be used to increase the source voltage, and series compensation can be used to reduce the line reactance X. Through parallel connection Compensation reduces the transmission of line reactive power Q, so as to achieve the purpose of reducing voltage drop.

3.1. Selection method of voltage regulator tap: As shown in Figure 4, the formula of voltage drop ΔV _T is:

${\mathrm{<span\; class="notranslate">\; \&Delta;V</span>}}_{\mathrm{<span\; class="notranslate">\; T</span>}}<span\; class="notranslate">\; =</span>\frac{<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; PR</span>}}_{\mathrm{<span\; class="notranslate">\; T</span>}}<span\; class="notranslate">\; +</span>{\mathrm{<span\; class="notranslate">\; QX</span>}}_{\mathrm{<span\; class="notranslate">\; T</span>}}<span\; class="notranslate">\; )</span>}{{\mathrm{<span\; class="notranslate">\; V</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}}$

R _T + jX _T is the impedance attributed to the high voltage side of the transformer, and V1 is the voltage of the high voltage side.

Get the tap voltage V _1t on the high voltage side:

${\mathrm{<span\; class="notranslate">\; V</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}\mathrm{<span\; class="notranslate">\; t</span>}}<span\; class="notranslate">\; =</span>\frac{{\mathrm{<span\; class="notranslate">\; V</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; -</span>{\mathrm{<span\; class="notranslate">\; \&Delta;V</span>}}_{\mathrm{<span\; class="notranslate">\; T</span>}}}{{\mathrm{<span\; class="notranslate">\; V</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}}{\mathrm{<span\; class="notranslate">\; V</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}\mathrm{<span\; class="notranslate">\; N</span>}}$

V _2N is the rated voltage of the low voltage side.

Therefore, select the corresponding voltage regulator gear, but for manual pressure regulation, it is necessary to calculate the maximum load and the minimum tap to be selected, and then take the average value.

3.2. Selection method of the capacitive reactance value of the series compensation capacitor: as shown in Figure 5, the capacitive reactance value X _C of the capacitor to be compensated, the formula is:

${\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; C</span>}}<span\; class="notranslate">\; =</span>\frac{{\mathrm{<span\; class="notranslate">\; V</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; \&Delta;</span>}\mathrm{<span\; class="notranslate">\; V</span>}<span\; class="notranslate">\; -</span>{\mathrm{<span\; class="notranslate">\; \&Delta;V</span>}}_{\mathrm{<span\; class="notranslate">\; c</span>}}<span\; class="notranslate">\; )</span>}{{\mathrm{<span\; class="notranslate">\; Q</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}}$

ΔV _c is the line voltage drop after the series compensation capacitor

3.3. Selection method of parallel compensation voltage regulation capacity: as shown in Figure 6, the capacity Q _C of the capacitor to be compensated is as follows:

${\mathrm{<span\; class="notranslate">\; Q</span>}}_{\mathrm{<span\; class="notranslate">\; C</span>}}<span\; class="notranslate">\; =</span>\frac{{\mathrm{<span\; class="notranslate">\; V</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}\mathrm{<span\; class="notranslate">\; c</span>}}}{\mathrm{<span\; class="notranslate">\; x</span>}}<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; V</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}\mathrm{<span\; class="notranslate">\; c</span>}}<span\; class="notranslate">\; -</span>\frac{{\mathrm{<span\; class="notranslate">\; V</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}^{<span\; class="notranslate">\; \&prime;</span>}}{\mathrm{<span\; class="notranslate">\; k</span>}}<span\; class="notranslate">\; )</span>{\mathrm{<span\; class="notranslate">\; k</span>}}^{\mathrm{<span\; class="notranslate">\; 2</span>}}$

Among them, _V'2 is the low-voltage bus voltage of the substation attributed to the high-voltage side, and _V2c is the actual voltage maintained by the pressure ball on the low-voltage side of the substation after compensation. But attention should be paid to the cooperation with the voltage regulator. The principle is to minimize the reactive power compensation capacity under the condition of meeting the voltage regulation requirements.

(4) Effect evaluation

The method of financial net present value analysis in engineering economics is used to evaluate the capacity expansion scheme, and the cash flow of the technical scheme in the entire calculation period is converted (considering inflation and interest) to the sum of the present value when the technical scheme starts to be implemented. And compare the financial net present value with the replacement of conductors and new lines. The larger the financial net present value, the better, and select an economically feasible plan.

Financial net present value (FNPV) = sum of present value of cash inflows - sum of present value of cash flows

The sum of the present value of cash inflows is mainly the electricity fee income after capacity increase

The sum of the present value of the cash flow is mainly the transformation equipment cost, labor cost, line loss cost and maintenance cost.

For a 10kV line, the transmission capacity of the line before the transformation is 8000kVA. The relevant costs of the transformation are shown in the table below. Based on the current bank loan benchmark interest rate of 3%, the electricity fee income is 0.2 yuan/kWH (deducting the line loss), taking into account the peak and valley effects of electricity consumption, Set the power consumption coefficient to 0.4.

Option 1: Capacity expansion and transformation Option 2: Create a new line Equipment fee (10,000 yuan) 45 115 Labor cost (10,000 yuan) 5.5 15 Maintenance cost (10,000 yuan) 10 10 Increased transmission capacity 20% 25%

Calculate the financial NPV over 5 years as follows:

Option 1: FNPV＝0.4*8000*20%*0.2*(1-1.03 ⁵ )/(1-1.03)*8760*5-(45+5.5+10)＝2.3715 million yuan

Scheme 2: FNPV＝0.4*8000*25％*0.25*(1-1.03 ⁵ )/(1-1.03)*8760*5-(115+15+10)＝2.3206 million yuan

It can be seen that the capacity-enhancing transformation of Scheme 1 can achieve better economic results while meeting user needs.

As shown in Figure 7, the auxiliary decision-making system for dynamic capacity increase of distribution lines in the embodiment of the present invention includes:

The monitoring data access unit is used to obtain real-time monitoring data of distribution lines, including operating parameters and micro-meteorological parameters, and transmit the monitored data back to the auxiliary decision-making platform in a standardized format through the communication network for analysis and decision-making;

Line thermal stability online checking unit, which is used to establish a thermal circuit transient model of distribution wires based on monitoring data, and calculate the maximum allowable current when the wire temperature reaches 70 degrees at the time to be tested, and then deduce the size of the line that can increase capacity;

The low-voltage analysis and management unit is used to dynamically increase the capacity according to the obtained maximum allowable current, and judge whether the voltage at the end of the line has dropped below the standard requirement, and if it is lower than the standard, reduce the voltage drop;

The effect evaluation unit is used for effect evaluation according to the method of financial net present value analysis in engineering economics.

It should be understood that those skilled in the art can make improvements or changes based on the above description, and all these improvements and changes should belong to the protection scope of the appended claims of the present invention.

Claims (8)

1. a distribution line dynamic compatibilization aid decision-making method, it is characterised in that comprise the following steps:

S1, the Real-time Monitoring Data of acquisition distribution line, including operational factor and microclimate parameter, and lead to Cross communication network and the data monitored are sent back Decision Platform in a standardized format, for analyzing certainly Plan uses；

S2, set up distribution wire hot road transient Model according to Monitoring Data, and calculate moment wire temperature to be measured Degree reaches maximum allowed current when 70 degree, and then derivation circuit can increase the size of capacity；

The maximum allowed current that S3, basis obtain carries out dynamic compatibilization, and whether judges line end voltage It is decreased below the requirement of standard, if less than standard, reducing voltage drop；

S4, carry out recruitment evaluation according to the method for financial net present value analysis in engineering economy.

Distribution line dynamic compatibilization aid decision-making method the most according to claim 1, it is characterised in that In step S1, operational factor includes conductor temperature, current in wire；Microclimate parameter includes ambient temperature, wet Degree, wind direction, wind speed, air pressure and intensity of sunshine.

Distribution line dynamic compatibilization aid decision-making method the most according to claim 1, it is characterised in that In step S1, communication network uses GPRS/3G/4G.

Distribution line dynamic compatibilization aid decision-making method the most according to claim 1, it is characterised in that In step S2, the computing formula of maximum allowed current is:

$I_{max}=\sqrt{\frac{70-{\mathrm{\&theta;}}_e}{R_x{R}_c\left({\mathrm{\&theta;}}_c\right)}}$

Wherein, θ_cFor aerial condutor temperature, R_c(θ_c) it is that aerial condutor is at θ_cAt a temperature of self thermal resistance, θ_eLead Line place ambient temperature, R_xFor the environment thermal resistance between wire to monitoring point.

Distribution line dynamic compatibilization aid decision-making method the most according to claim 4, it is characterised in that The formula calculating ambient heat resistance in step S2 is:

$R_x=\frac{{\mathrm{\&theta;}}_c-{\mathrm{\&theta;}}_e}{W_C-C_x\frac{{\mathrm{d\&theta;}}_c}{dt}}$

Wherein, θ_cFor aerial condutor temperature, θ_eWire place ambient temperature, C_xFor steel-cored aluminium strand Steel core thermal capacitance C_x1Thermal capacitance C with steel core aluminum stranded conductor aluminium_x2Sum, W_C=I²R_c(θ_c) it is wire self-heating amount.

Distribution line dynamic compatibilization aid decision-making method the most according to claim 1, it is characterised in that The method reducing voltage drop in step S3 includes: by there being load adjustable transformer to improve source voltage terminal, take Series compensation reduces line reactance, compensates in parallel and reduces the idle transmission of circuit.

Distribution line dynamic compatibilization aid decision-making method the most according to claim 1, it is characterised in that Step S4 carries out the method for recruitment evaluation particularly as follows:

Calculate increase the electricity charge income after capacity and reforming equipment expense, labour cost, line loss expense and The difference of maintenance cost, is denoted as financial net present value, compares the financial net present value before and after dynamic compatibilization, selects The bigger scheme of net present value (NPV) is as economically viable scheme.

8. a distribution line dynamic compatibilization aid decision-making system, it is characterised in that including:

Monitoring Data access unit, for obtaining the Real-time Monitoring Data of distribution line, including operational factor With microclimate parameter, and the data monitored are sent back auxiliary in a standardized format by communication network Decision-making platform, for analysis decision；

The thermally-stabilised online check unit of circuit, for setting up distribution wire hot road transient state mould according to Monitoring Data Type, and calculate maximum allowed current when moment conductor temperature to be measured reaches 70 degree, and then derivation circuit can Increase the size of capacity；

Low-voltage is analyzed and governance unit, for carrying out dynamic compatibilization according to the maximum allowed current obtained, And judge whether line end voltage is decreased below the requirement of standard, if less than standard, reducing voltage drop；

Recruitment evaluation unit, for carrying out effect according to the method for financial net present value analysis in engineering economy Assessment.