CN107171311B - Distribution transformation selection method and device based on lowest cost of equipment full life cycle - Google Patents

Distribution transformation selection method and device based on lowest cost of equipment full life cycle Download PDF

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CN107171311B
CN107171311B CN201710322396.5A CN201710322396A CN107171311B CN 107171311 B CN107171311 B CN 107171311B CN 201710322396 A CN201710322396 A CN 201710322396A CN 107171311 B CN107171311 B CN 107171311B
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distribution transformer
distribution
cost
transformer
load
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CN107171311A (en
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成新苗
杨育泽
林杨
方志丹
谢伟群
王仁郁
吴福疆
罗滨
吴彧
高洁
洪晓虹
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Shantou Power Supply Bureau of Guangdong Power Grid Co Ltd
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Shantou Power Supply Bureau of Guangdong Power Grid Co Ltd
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
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Abstract

The embodiment of the invention discloses a distribution transformer selection method and device based on the lowest cost of a full life cycle of equipment, which are used for solving the technical problems that the existing distribution transformer selection method is extensive and is not deep enough in scientificity and rationality. The invention provides a distribution transformation selection method based on the lowest cost of the full life cycle of equipment, which comprises the following steps: s1: acquiring electric quantity data recorded by preset distribution transformers every hour, and calculating the fluctuation coefficients of the distribution transformers through a first formula and a second formula to obtain the fluctuation coefficients of the distribution transformers under different power supply load properties; s2: acquiring data of the highest load rate and the average load rate of the distribution transformer, and acquiring information that the highest load rate of the distribution transformer is equal to 2 times of the average load rate of the distribution transformer; s3: and acquiring the minimum value of the total ownership cost and the distribution transformer corresponding to the minimum value by using the fluctuation coefficient of the distribution transformer under different power supply load properties and the information that the highest load rate of the distribution transformer is equal to 2 times of the average load rate and by using a calculation model formula of the total ownership cost of the distribution transformer.

Description

Distribution transformation selection method and device based on lowest cost of equipment full life cycle
Technical Field
The invention relates to the field of distribution transformer selection, in particular to a distribution transformer selection method and device based on the lowest cost of a full life cycle of equipment.
Background
Under the condition that the load prediction of the power supply area in the final period is completed, the existing distribution transformation selection method comprises the following steps: the capacity of the transformer is selected according to the predicted load value, the distribution transformer is generally required to be prevented from generating heavy load and overload, and the load rate is usually controlled to be 60% -80%, namely the capacity of the transformer is 125% -167% of the predicted load; when the type of the transformer is selected, the SH15 type or S13 type of the energy-saving product is selected more, and the type of the transformer with the lowest price in the same capacity is selected more with low cost.
The existing distribution transformer selection method is extensive and is not deep enough in the aspects of scientificity and rationality. 1. The capacity selection range is too wide, two options are usually available, for example, the load prediction value is 400kW, and the capacity range of the transformer selected according to the existing calculation method is 500kVA-667kVA, which means that some people can select 500kVA transformers, and some people can select 630kVA transformers, but which is more reasonable is not the basis. 2. The selection of the type of the transformer has no definite basis, the selection of the SH15 or S13 which is the most used for selecting energy-saving products tends to select, the selection of the type of the transformer which has the lowest price in the same capacity tends to select more with low cost, and the selection of the type of the transformer which is more reasonable does not have the basis.
Disclosure of Invention
The embodiment of the invention provides a distribution transformer selection method and device based on the lowest cost of the full life cycle of equipment, and solves the technical problems that the existing distribution transformer selection method is extensive and is not deep enough in scientificity and rationality.
The invention provides a distribution transformation selection method based on the lowest cost of the full life cycle of equipment, which comprises the following steps:
s1: acquiring electric quantity data recorded by a preset distribution transformer per hour, and calculating the fluctuation coefficient of the distribution transformer through a first formula and a second formula to obtain the fluctuation coefficient of the distribution transformer under different power supply load properties;
s2: acquiring data of the maximum load rate and the average load rate of the distribution transformer, and acquiring information that the maximum load rate of the distribution transformer is equal to 2 times of the average load rate of the distribution transformer;
s3: and acquiring a simplified calculation model formula of total ownership cost through the fluctuation coefficient of the distribution transformer under different power supply load properties and the information that the highest load rate of the distribution transformer is 2 times of the average load rate, acquiring a minimum value of the total ownership cost through a calculation model formula of the total ownership cost of the distribution transformer, and acquiring the distribution transformer corresponding to the minimum value.
Preferably, the first formula is: kT=Kf 2
The second formula is:
Figure GDA0002237444670000021
wherein A isjThe quantity of electricity recorded per hour for the distribution transformer, T the statistical period of the quantity of electricity recorded per hour for the distribution transformer, KfFor the form factor of the transformation, KTIs the fluctuation coefficient of the distribution variation.
Preferably, the calculation model formula of the total ownership cost of the distribution transformer is as follows:
TOC=CI+Kpv×E×Hpy×{P0+KT×(PH/S/2/cosΦ)2×PK}
wherein TOC is total cost of the distribution transformer, CI is initial cost of the distribution transformer, Kpv is current value coefficient of continuous n-year cost with current rate of the distribution transformer being i, E is average electricity purchase price of distribution transformer user, Hpy is annual charge hours of the distribution transformer, P0For no-load power losses of distribution transformers, KTFor the coefficient of variation of the distribution, PKFor distribution of rated load power loss, PHThe highest active power predetermined for the distribution transformer, S is the distribution transformer capacity, cos phi is the distribution transformer power factor, and the highest load factor β of the distribution transformerH=PH/S/2/cosΦ,Kpv={1-1/(1+i)n}/i。
Preferably, the step S3 specifically includes:
fluctuation coefficient K of distribution transformer under different power supply load propertiesTAnd a maximum load rate β of said distribution transformerHInformation equal to 2 times of the average load rate β, and receiving the initial cost CI of the distribution transformer, the current value coefficient Kpv of the continuous n-year cost with the discount rate i of the distribution transformer, and the average electricity purchase price of the distribution transformer userE. Annual live hours Hpy of distribution transformer and no-load power loss P of distribution transformer0Rated load power loss P of distribution transformerKThe maximum active power P predetermined by the distribution transformerHThe method comprises the following steps of obtaining simplified calculation model formula of total ownership cost through a calculation model formula of total ownership cost TOC of the distribution transformer, obtaining the minimum value of the total ownership cost, and obtaining and outputting the distribution transformer corresponding to the minimum value, wherein the calculation model formula of the total ownership cost TOC of the distribution transformer is as follows:
TOC=CI+Kpv×E×Hpy×{P0+KT×(PH/S/2/cosΦ)2×PK}
wherein TOC is total cost of the distribution transformer, CI is initial cost of the distribution transformer, Kpv is current value coefficient of continuous n-year cost with current rate of the distribution transformer being i, E is average electricity purchase price of distribution transformer user, Hpy is annual charge hours of the distribution transformer, P0For no-load power losses of distribution transformers, KTFor the coefficient of variation of the distribution, PKFor distribution of rated load power loss, PHThe highest active power predetermined for the distribution transformer, S is the distribution transformer capacity, cos phi is the distribution transformer power factor, and the highest load factor β of the distribution transformerH=PH/S/2/cosΦ,Kpv={1-1/(1+i)n}/i。
Preferably, the step S1 specifically includes:
acquiring preset electric quantity data recorded by the distribution transformer per hour, calculating the fluctuation coefficient of the distribution transformer through a first formula and a second formula, and comparing and analyzing the electric quantity data and the fluctuation coefficient to obtain the fluctuation coefficient of the distribution transformer under the power supply load properties of I, II, III and IV, wherein the first formula is as follows: kT=Kf 2(ii) a The second formula is:
Figure GDA0002237444670000031
wherein A isjThe quantity of electricity recorded per hour for the distribution transformer, T the statistical period of the quantity of electricity recorded per hour for the distribution transformer, KfFor the form factor of the transformation, KTFor fluctuation of distributionAnd (4) the coefficient.
The invention provides a distribution transformation selection device based on the lowest cost of the full life cycle of equipment, which comprises:
the first acquisition unit is used for acquiring preset electric quantity data recorded by the distribution transformer in each hour, and calculating the fluctuation coefficient of the distribution transformer through a first formula and a second formula to obtain the fluctuation coefficient of the distribution transformer under different power supply load properties;
the second acquisition unit is used for acquiring the data of the highest load rate and the average load rate of the distribution transformer and acquiring the information that the highest load rate of the distribution transformer is equal to 2 times of the average load rate of the distribution transformer;
and the third obtaining unit is used for obtaining a simplified calculation model formula of the total ownership cost through a calculation model formula of the total ownership cost of the distribution transformer according to the fluctuation coefficient of the distribution transformer under different power supply load properties and the information that the highest load rate of the distribution transformer is equal to 2 times of the average load rate, obtaining the minimum value of the total ownership cost, and obtaining the distribution transformer corresponding to the minimum value.
Preferably, the first formula is: kT=Kf 2
The second formula is:
Figure GDA0002237444670000041
wherein A isjThe quantity of electricity recorded per hour for the distribution transformer, T the statistical period of the quantity of electricity recorded per hour for the distribution transformer, KfFor the form factor of the transformation, KTIs the fluctuation coefficient of the distribution variation.
Preferably, the calculation model formula of the total ownership cost of the distribution transformer is as follows:
TOC=CI+Kpv×E×Hpy×{P0+KT×(PH/S/2/cosΦ)2×PK}
wherein TOC is total cost of the distribution transformer, CI is initial cost of the distribution transformer, Kpv is current value coefficient of continuous n-year cost with current rate of the distribution transformer being i, E is average electricity purchase price of distribution transformer user, Hpy is annual charge hours of the distribution transformer, P0For no-load power losses of distribution transformers, KTFor the coefficient of variation of the distribution, PKFor distribution of rated load power loss, PHThe highest active power predetermined for the distribution transformer, S is the distribution transformer capacity, cos phi is the distribution transformer power factor, and the highest load factor β of the distribution transformerH=PH/S/2/cosΦ,Kpv={1-1/(1+i)n}/i。
Preferably, the third acquiring unit specifically includes:
receiving subunit, in particular for a coefficient of fluctuation K of a distribution transformation by means of different supply load propertiesTAnd a maximum load rate β of said distribution transformerHInformation equal to 2 times of the average load rate β, and receiving the initial cost CI of the distribution transformer, the current value coefficient Kpv of the continuous n-year cost with the discount rate of the distribution transformer being i, the average electricity purchase price E of the distribution transformer user, the annual electricity charge hours Hpy of the distribution transformer, and the no-load power loss P of the distribution transformer0Rated load power loss P of distribution transformerKThe maximum active power P predetermined by the distribution transformerHData information of distribution transformer capacity S and distribution transformer power factor cos phi;
the first obtaining subunit is specifically configured to obtain a simplified calculation model formula of the total ownership cost through a calculation model formula of total ownership cost TOC of the distribution transformer, obtain a minimum value of the total ownership cost, and obtain the distribution transformer corresponding to the minimum value;
and the output subunit is specifically configured to output the distribution transformer corresponding to the minimum value, and a calculation model formula of total ownership cost TOC of the distribution transformer is as follows:
TOC=CI+Kpv×E×Hpy×{P0+KT×(PH/S/2/cosΦ)2×PK}
wherein TOC is total cost of the distribution transformer, CI is initial cost of the distribution transformer, Kpv is current value coefficient of continuous n-year cost with current rate of the distribution transformer being i, E is average electricity purchase price of distribution transformer user, Hpy is annual charge hours of the distribution transformer, P0For no-load power losses of distribution transformers, KTFor the coefficient of variation of the distribution, PKFor distribution of rated load power loss, PHThe highest active power predetermined for the distribution transformer, S is the distribution transformer capacity, cos phi is the distribution transformer power factor, and the highest load factor β of the distribution transformerH=PH/S/2/cosΦ,Kpv={1-1/(1+i)n}/i。
Preferably, the first acquiring unit includes:
the second acquiring subunit is specifically configured to acquire electric quantity data recorded by a preset distribution transformer every hour;
the calculating subunit is specifically configured to calculate a fluctuation coefficient of the distribution transform by using a first formula and a second formula;
the third obtaining subunit is specifically configured to obtain the fluctuation coefficient of the distribution transformer under the power supply load characteristics of class I, class II, class III, and class IV by performing comparative analysis on the electric quantity data and the fluctuation coefficient, where the first formula is: kT=Kf 2(ii) a The second formula is:
Figure GDA0002237444670000051
wherein A isjThe quantity of electricity recorded per hour for the distribution transformer, T the statistical period of the quantity of electricity recorded per hour for the distribution transformer, KfFor the form factor of the transformation, KTIs the fluctuation coefficient of the distribution variation.
According to the technical scheme, the embodiment of the invention has the following advantages:
the embodiment of the invention provides a method and a device for selecting a distribution transformer based on the lowest cost of a full life cycle of equipment, wherein the method for selecting the distribution transformer based on the lowest cost of the full life cycle of the equipment comprises the following steps: s1: acquiring electric quantity data recorded by a preset distribution transformer per hour, and calculating the fluctuation coefficient of the distribution transformer through a first formula and a second formula to obtain the fluctuation coefficient of the distribution transformer under different power supply load properties; s2: acquiring data of the maximum load rate and the average load rate of the distribution transformer, and acquiring information that the maximum load rate of the distribution transformer is equal to 2 times of the average load rate of the distribution transformer; s3: and acquiring a simplified calculation model formula of total ownership cost through the fluctuation coefficient of the distribution transformer under different power supply load properties and the information that the highest load rate of the distribution transformer is 2 times of the average load rate, acquiring a minimum value of the total ownership cost through a calculation model formula of the total ownership cost of the distribution transformer, and acquiring the distribution transformer corresponding to the minimum value. In this embodiment, by S1: acquiring electric quantity data recorded by preset distribution transformers every hour, and calculating the fluctuation coefficients of the distribution transformers through a first formula and a second formula to obtain the fluctuation coefficients of the distribution transformers under different power supply load properties; s2: acquiring data of the highest load rate and the average load rate of the distribution transformer, and acquiring information that the highest load rate of the distribution transformer is equal to 2 times of the average load rate of the distribution transformer; s3: according to the method, the minimum value of the total ownership cost is obtained through the fluctuation coefficient of the distribution transformer under different power supply load properties and the information that the maximum load rate of the distribution transformer is equal to 2 times of the average load rate, and the distribution transformer corresponding to the minimum value is obtained through the calculation model formula of the total ownership cost of the distribution transformer, so that the technical problems that the existing distribution transformer selection method is relatively extensive and is insufficient in depth in the aspects of scientificity and rationality are solved.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without inventive exercise.
Fig. 1 is a schematic flow chart of an embodiment of a distribution transform selection method based on a lowest cost of a full life cycle of a device according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of an embodiment of a distribution transformation selecting apparatus for lowest cost based on a full life cycle of a device according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of another embodiment of a distribution transformation selecting apparatus for lowest cost based on a full life cycle of a device according to an embodiment of the present invention;
fig. 4 is a schematic usage interface diagram of a distribution transform selection method based on the lowest cost of the full life cycle of the device according to the embodiment of the present invention.
Detailed Description
The embodiment of the invention provides a distribution transformer selection method and device based on the lowest cost of the full life cycle of equipment, which are used for solving the technical problems that the existing distribution transformer selection method is extensive and is not deep enough in scientificity and rationality.
In order to make the objects, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the embodiments described below are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, an embodiment of a method for selecting a distribution transformer based on a lowest cost of a full life cycle of a device according to the present invention includes:
101. acquiring electric quantity data recorded by a preset distribution transformer per hour, and calculating the fluctuation coefficient of the distribution transformer through a first formula and a second formula to obtain the fluctuation coefficient of the distribution transformer under different power supply load properties;
102. acquiring data of the maximum load rate and the average load rate of the distribution transformer, and acquiring information that the maximum load rate of the distribution transformer is equal to 2 times of the average load rate of the distribution transformer;
103. and acquiring a simplified calculation model formula of total ownership cost through the fluctuation coefficient of the distribution transformer under different power supply load properties and the information that the highest load rate of the distribution transformer is 2 times of the average load rate, acquiring a minimum value of the total ownership cost through a calculation model formula of the total ownership cost of the distribution transformer, and acquiring the distribution transformer corresponding to the minimum value.
In the above, a method for selecting a distribution transformer based on the lowest cost of the full life cycle of a device is described in detail, and a process of the method for selecting the distribution transformer based on the lowest cost of the full life cycle of the device is described in detail below, referring to fig. 2, another embodiment of a method for selecting a distribution transformer based on the lowest cost of the full life cycle of a device according to an embodiment of the present invention includes:
201. acquiring preset electric quantity data recorded by the distribution transformer per hour, calculating the fluctuation coefficient of the distribution transformer through a first formula and a second formula, and comparing and analyzing the electric quantity data and the fluctuation coefficient to obtain the fluctuation coefficient of the distribution transformer under the power supply load properties of I, II, III and IV, wherein the first formula is as follows: kT=Kf 2(ii) a The second formula is:
Figure GDA0002237444670000071
wherein A isjThe quantity of electricity recorded per hour for the distribution transformer, T the statistical period of the quantity of electricity recorded per hour for the distribution transformer, KfFor the form factor of the transformation, KTThe fluctuation coefficient of the distribution transformer;
acquiring the recorded electric quantity data of preset distribution transformer per hour and the load fluctuation loss coefficient KTAnd the shape coefficient KfRelation KT=Kf 2Wherein
Figure GDA0002237444670000072
Wherein T is the time of a statistical period (working represents day, month working day or year working day) and the unit is hour (h); a. thejThe recorded electrical quantity per hour is given in kilowatt-hours (kWh).
In this embodiment, the power samples recorded in 2016, 9, 1, and 1 days per hour of 1400 distribution transformers in Shantou Jinpingdistrict are collected, and the fluctuation coefficient K of each distribution transformer is calculated according to the above formulaTThrough comparative analysis of data, the fluctuation coefficient K of the transformer with different power supply load properties is foundTAnd are also different. Generally, the transformer ripple factor for a few purely industrial users is the highest, about 1.7, the transformer ripple factor for a number of small industrial users is the second to about 1.4, the transformer ripple factor for a purely residential use is about 1.2, and the transformer ripple factor for a residential and small industrial mixed area is the lowest, about 1.1. As shown in the following table:
TABLE 1
Figure GDA0002237444670000081
Note: the class I (special small industry) refers to a small industry with strong load characteristic consistency and concentrated load.
202. Acquiring data of the maximum load rate and the average load rate of the distribution transformer, and acquiring information that the maximum load rate of the distribution transformer is equal to 2 times of the average load rate of the distribution transformer;
acquiring samples of the highest load rate and the average load rate of 1400 distribution transformers in Shantou city Jinpingdistrict in 2016 and 9 months, and analyzing according to the obtained data samples to obtain a conclusion: the maximum load rate of the distribution transformer is equal to 2 times of the average load rate.
203. Fluctuation coefficient K of distribution transformer under different power supply load propertiesTAnd a maximum load rate β of said distribution transformerHInformation equal to 2 times of the average load rate β, and receiving the initial cost CI of the distribution transformer, the current value coefficient Kpv of the continuous n-year cost with the discount rate of the distribution transformer being i, the average electricity purchase price E of the distribution transformer user, the annual electricity charge hours Hpy of the distribution transformer, and the no-load power loss P of the distribution transformer0Rated load power loss P of distribution transformerKThe maximum active power P predetermined by the distribution transformerHThe method comprises the following steps of obtaining simplified calculation model formula of total ownership cost through a calculation model formula of total ownership cost TOC of the distribution transformer, obtaining the minimum value of the total ownership cost, obtaining and outputting the distribution transformer corresponding to the minimum value, wherein the calculation model formula of the total ownership cost TOC of the distribution transformer is as follows:
TOC=CI+Kpv×E×Hpy×{P0+KT×(PH/S/2/cosΦ)2×PK}
wherein TOC is total cost of the distribution transformer, CI is initial cost of the distribution transformer, Kpv is current value coefficient of continuous n-year cost with current rate of the distribution transformer being i, E is average electricity purchase price of distribution transformer user, Hpy is annual charge hours of the distribution transformer, P0For no-load power losses of distribution transformers, KTFor the coefficient of variation of the distribution, PKFor distribution of rated load power loss, PHIs prepared forChanging the preset maximum active power, S is the distribution and transformation capacity, cos phi is the distribution and transformation power factor, and the maximum load rate β of the distribution and transformationH=PH/S/2/cosΦ,Kpv={1-1/(1+i)n}/i。
Total Ownership (TOC) refers to the sum of all investment and operating costs of a transformer over its entire lifetime. The costs constitute the equivalent initial costs including the initial investment of the transformer (considering only the purchase of the equipment) and the electrical losses to be paid throughout its economic life (including the operating costs due to the no-load and load losses of the transformer).
Under the conditions that the additional loss cost and the average annual increment cost of the power supply network are not considered, and the load of the transformer in the service life is assumed to reach the target load unchanged, the transformer is selected to be optimal when the total ownership cost of the transformer is minimum, and the calculation expression of the total ownership cost of the transformer is as follows:
TOC=CI+Kpv×E×Hpy×PZ(formula 1)
Wherein TOC is the total cost of ownership of the transformer; CI-initial cost of transformer equipment, only considering equipment purchase cost, Yuan; in the embodiment, the purchase prices of materials and equipment of power grid companies in south China in recent years are collected and sorted, and CI is various transformers; kpv, the coefficient of the current annual cost of successive n years with a discount rate of i, Kpv ═ 1-1/(1+ i)nIn this embodiment, taking the SHA head as an example, generally, 7% of i is selected, and n is 20; e-average electricity purchase price, yuan/kWh, of the transformer user; since the average purchase price of only various loads in the whole market can be actually obtained for the power supply company, the distribution and transformation purchase price of all the loads is uniform and is 0.5 yuan/kWh; the TOC minimum algorithm is also suitable for optimization of special transformers with different load properties, so that the parameters are reserved, and the optimal TOC is calculated according to different electricity purchasing unit prices by utilizing a research model in the text when the special transformers are selected; hpy-annual charging hours of the transformer, generally 8760 h; pZ-transformer integrated power loss, kW. It can be seen from the above formula that the difficulty in obtaining the minimum TOC is how to obtain the total power loss P of the transformerZ
According to the economic operation of power transformer (GB/T13462-
PZ=P0Z+KT×β2×PKZ(formula 2)
P0Z=P0+KQQ0(formula 3)
PKZ=PK+KQQK(formula 4)
From the formulas 2, 3 and 4, it can be seen that
PZ=P0+KQQ0+KT×β2×(PK+KQQK)
=P0+KQQ0+KT×β2×PK+KT×β2×KQQK
When the power factor has been compensated to 0.9 and above, KQEqual to 0.04, KQQ0、KQQKThe values are negligible. The above equation can be simplified to PZ=P0+KT×β2×PK(formula 5)
Wherein,
P0Z-no-load loss of transformer integrated power, kW;
KT-load fluctuation loss factor, which refers to the ratio of the transformer load loss under load fluctuation conditions to the load loss under average load conditions over a certain period of time;
β -ratio of apparent power of average output of transformer to rated capacity of transformer in a certain time;
PKZ-rated load power loss of transformer integrated power, kW;
P0-transformer no-load power loss, kW;
PK-transformer rated load power loss, kW;
the no-load loss and the load loss of each type of transformer are determined by the delivery attributes of the transformer, and are subjected to data collection and arrangement.
KQ-reactive economic equivalent, kW/kvar;
Q0-transformer no-load excitation loss, kvar;
QKtransformer rated load leakage power, kvar.
And, a load fluctuation loss coefficient KTAnd the shape coefficient KfThe relation of (1):
KT=Kf 2(formula 6)
Wherein
Figure GDA0002237444670000101
In the formula:
t-statistical period (work for day, month or year) of time in hours (h);
Aj-the quantity of electricity recorded per hour in kilowatt-hours (kWh).
Then equations 1 and 5 can be combined to TOC CI + Kpv × E × Hpy × (P)0+KT×β2×PK) (formula 8)
In this embodiment, the maximum load rate and the average load rate of 1400 distribution transformers in the Shantou gold flat area in 2016 at 9 months are collected, and according to the obtained data samples, the maximum load rate of the distribution transformers is approximately equal to 2 times of the average load rate. Namely, it is
β=βH/2 (formula 9)
Due to the fact that
βH=PHS/2/cos phi (equation 10)
Then equations 8, 9, 10 may be combined as TOC CI + Kpv × E × Hpy × { P0+KT×(PH/S/2/cosΦ)2×PKFormula 11 wherein
βHThe highest load rate expected to be reached in the service life of the transformer corresponds to a predicted value of the highest load rate in a planned power supply area of the distribution transformer;
PHmaximum active power expected to be reached during the life of the transformer, corresponding to the distribution transformationPredicting the highest load in the planned power supply area;
s-transformer capacity, kVA;
cos Φ, power factor, typically 0.9;
through the deduction and optimization of the calculation model of the Total Ownership Cost (TOC), a simplified TOC calculation model which can be quantized in all parameters and can be intuitively obtained from the operation of a daily power distribution network is obtained:
TOC=CI+Kpv×E×Hpy×{P0+KT×(PH/S/2/cosΦ)2×PK} (formula 11)
The simplified TOC calculation model is applied to the display and analysis of the optimized typical example of the distribution transformer:
if a new house is planned to be built in a district, the load is 500kVA in 5 years, the power factor is 0.9, and the load fluctuation coefficient is 1.2. By adopting the calculation of the result, the first recommended result is an S13-800kVA transformer, and the TOC value of the calculation result is 135740.4 yuan, for example, by adopting the existing selection method, a 630kVA transformer can be adopted, and if an S13 type transformer is also adopted, the TOC value is 137254.31. Therefore, according to the selected transformer, the investment can be saved by 1513.91 yuan in the whole life cycle, the annual average power consumption can be saved by 2026.41kWh, and the power consumption can be reduced by 40528kWh according to the calculation of the 20-year life cycle.
TOC=CI+Kpv×E×Hpy×{P0+KT×(PH/S/2/cosΦ)2×PK}
=CI+{1-1/(1+i)n}/i×E×Hpy×{P0+KT×(PH/S/2/cosΦ)2×PK}
Wherein the target variable of the software is S, and the input variable is PHWith the selected variable being KT(ii) a The process variable is CI, P0,PK(ii) a Quantitative parameters E (default of 0.5 yuan), year of operation n (default of 20 years), discount rate i (default of 7%), power factor cos Φ (default of 0.9), number of annual operating hours Hpy (default of 8760). Software functions allow modification of the selection variable KTAllowing modification of the quantitative parameters E, n, i, cos Φ, Hpy, allowing modification of the process variables CI, P0,PK. Software implementationThe existing function (1) is mainly as follows: the input variable is PHAccording to different process variables CI, P stored in the software0,PKAnd combining the quantitative parameters and the target variable S to obtain multiple groups of TOC, comparing the multiple groups of TOC values, and selecting the target variable S under the minimum TOC value to recommend to a user. (2) Input and output functions: two data entry points: 1. expected maximum power supply load PH(kW, filled integer); 2. selecting a fluctuation coefficient K corresponding to the load propertyT(class I (special small industry) 1.7, class II (small industry) 1.4, class IIII (residential) 1.2, class IV (small power mixed with residents) 1.1) one output point: it is recommended to use an XX type XX capacity transformer. A detailed data output EXCEL form: the software outputs the table. The system supports memorizing modified parameters, and provides a default parameter set of 1 and a memory parameter set of 3. The use interface is shown in fig. 4.
In this embodiment, by collecting electric quantity samples recorded by 1400 distribution transformers in the Shantou Jinpingdistrict in 1 day/hour in 2016, 9, 1, calculating the fluctuation coefficient KT of each distribution transformer according to the above formula, and then performing comparative analysis and induction on data, transformer fluctuation coefficient KT values with different power supply load properties are obtained, and by collecting samples of the highest load rate and the average load rate of 1400 distribution transformers in Shantou Jinpingdistrict in 2016, 9, a conclusion is obtained according to analysis of the obtained data samples: and substituting the highest load rate of the distribution transformer into a simplified TOC calculation model formula according to the conclusion that the maximum load rate of the distribution transformer is approximately equal to 2 times of the average load rate: TOC CI + Kpv × E × Hpy × { P0+KT×(PH/S/2/cosΦ)2×PKObtaining the TOC value of each transformer, substituting all common distribution transformers according to application software compiled by a simplified TOC calculation model and a simplified TOC calculation formula to obtain the TOC value of each distribution transformer, comparing each TOC value to obtain the minimum value, solidifying the calculation process and the comparison process in the compiled application software, providing a distribution transformer optimization method of which capacity and type are selected and total cost (TOC) is the minimum in the operation period in the whole life cycle of the transformer under the condition that the load prediction of the power supply station area is finished in the final period, providing a more scientific and reasonable selection basis for the selection of the distribution transformers, and effectively reducing the investment cost,moreover, a proper transformer can be selected according to the selection tendency of the user, and the user can directly obtain the optimal result of the distribution transformation through simple software application, so that the decision efficiency is improved.
Referring to fig. 2, an embodiment of a distribution transformation selecting apparatus for lowest cost based on a full life cycle of a device according to the present invention includes:
the first obtaining unit 301 is configured to obtain electric quantity data recorded by a preset distribution transformer every hour, and calculate a fluctuation coefficient of the distribution transformer through a first formula and a second formula to obtain the fluctuation coefficient of the distribution transformer under different power supply load properties;
a second obtaining unit 302, configured to obtain data of a highest load rate and an average load rate of the distribution transformer, and obtain information that the highest load rate of the distribution transformer is equal to 2 times the average load rate of the distribution transformer;
a third obtaining unit 303, configured to obtain, through the fluctuation coefficient of the distribution transformer under different power supply load properties and information that the highest load rate of the distribution transformer is equal to 2 times of the average load rate, a simplified calculation model formula of total ownership cost according to a calculation model formula of total ownership cost of the distribution transformer, obtain a minimum value of the total ownership cost, and obtain the distribution transformer corresponding to the minimum value.
In the above, the elements of a device-full-lifecycle-based lowest-cost distribution and transformation selection apparatus are described in detail, and in the following, additional elements of a device-full-lifecycle-based lowest-cost distribution and transformation selection apparatus are described in detail, referring to fig. 3, another embodiment of a device-full-lifecycle-based lowest-cost distribution and transformation selection apparatus provided in an embodiment of the present invention includes:
the first obtaining unit 401 is configured to obtain electric quantity data recorded by a preset distribution transformer every hour, calculate a fluctuation coefficient of the distribution transformer through a first formula and a second formula, and obtain the fluctuation coefficient of the distribution transformer under different power supply load properties;
the first obtaining unit 401 specifically includes:
the second obtaining sub-unit 4011 is specifically configured to obtain electric quantity data recorded every hour of a preset distribution transformer;
the calculation subunit 4012 is specifically configured to calculate a fluctuation coefficient of the distribution transform by using a first formula and a second formula;
the third obtaining sub-unit 4013 is specifically configured to obtain the fluctuation coefficient of the distribution transformer under the power supply load properties of class I, class II, class III, and class IV by performing comparative analysis on the electric quantity data and the fluctuation coefficient, where the first formula is: kT=Kf 2(ii) a The second formula is:
Figure GDA0002237444670000141
wherein A isjThe quantity of electricity recorded per hour for the distribution transformer, T the statistical period of the quantity of electricity recorded per hour for the distribution transformer, KfFor the form factor of the transformation, KTIs the fluctuation coefficient of the distribution variation.
A second obtaining unit 402, configured to obtain data of a highest load rate and an average load rate of the distribution transformer, and obtain information that the highest load rate of the distribution transformer is equal to 2 times the average load rate of the distribution transformer;
a third obtaining unit 403, configured to obtain, through the fluctuation coefficient of the distribution transformer under different power supply load properties and information that the highest load rate of the distribution transformer is equal to 2 times of the average load rate, a simplified calculation model formula of total ownership cost according to a calculation model formula of total ownership cost of the distribution transformer, obtain a minimum value of the total ownership cost, and obtain the distribution transformer corresponding to the minimum value.
The third obtaining unit 403 specifically includes:
a receiving subunit 4031, specifically configured to receive the fluctuation coefficient K of the distribution transformation under different power supply load propertiesTAnd a maximum load rate β of said distribution transformerHInformation equal to 2 times of the average load rate β, and receiving the initial cost CI of the distribution transformer, the current value coefficient Kpv of the continuous n-year cost with the discount rate of the distribution transformer being i, the average electricity purchase price E of the distribution transformer user, the annual electricity charge hours Hpy of the distribution transformer, and the no-load power loss P of the distribution transformer0Rated load power loss P of distribution transformerKThe maximum active power P predetermined by the distribution transformerHData information of distribution transformer capacity S and distribution transformer power factor cos phi;
the first obtaining subunit 4032 is specifically configured to obtain a simplified calculation model formula of total ownership cost through a calculation model formula of total ownership cost TOC of the distribution transformer, obtain a minimum value of the total ownership cost, and obtain the distribution transformer corresponding to the minimum value;
an output subunit 4033, specifically configured to output the distribution transformer corresponding to the minimum value, where a calculation model formula of a total ownership cost TOC of the distribution transformer is as follows:
TOC=CI+Kpv×E×Hpy×{P0+KT×(PH/S/2/cosΦ)2×PK}
wherein TOC is total cost of the distribution transformer, CI is initial cost of the distribution transformer, Kpv is current value coefficient of continuous n-year cost with current rate of the distribution transformer being i, E is average electricity purchase price of distribution transformer user, Hpy is annual charge hours of the distribution transformer, P0For no-load power losses of distribution transformers, KTFor the coefficient of variation of the distribution, PKFor distribution of rated load power loss, PHThe highest active power predetermined for the distribution transformer, S is the distribution transformer capacity, cos phi is the distribution transformer power factor, and the highest load factor β of the distribution transformerH=PH/S/2/cosΦ,Kpv={1-1/(1+i)n}/i。
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (2)

1. A distribution transformation selection method based on the lowest cost of the full life cycle of equipment is characterized by comprising the following steps:
s1: acquiring electric quantity data recorded by a preset distribution transformer per hour, and calculating the fluctuation coefficient of the distribution transformer through a first formula and a second formula to obtain the fluctuation coefficient of the distribution transformer under different power supply load properties;
the first formula is: kT=Kf 2
The second formula is:
Figure FDA0002237444660000011
wherein A isjThe quantity of electricity recorded per hour for the distribution transformer, T the statistical period of the quantity of electricity recorded per hour for the distribution transformer, KfFor the form factor of the transformation, KTThe fluctuation coefficient of the distribution transformer;
s2: acquiring data of the maximum load rate and the average load rate of the distribution transformer, and acquiring information that the maximum load rate of the distribution transformer is equal to 2 times of the average load rate of the distribution transformer;
s3: obtaining a simplified calculation model formula of total ownership cost through information that the fluctuation coefficient of the distribution transformer under different power supply load properties and the highest load rate of the distribution transformer are equal to 2 times of the average load rate, obtaining a calculation model formula of the total ownership cost of the distribution transformer, obtaining the minimum value of the total ownership cost, and obtaining the distribution transformer corresponding to the minimum value;
the calculation model formula of the total ownership cost of the distribution transformer is as follows:
TOC=CI+Kpv×E×Hpy×{P0+KT×(PH/S/2/cosΦ)2×PK}
wherein TOC is total cost of the distribution transformer, CI is initial cost of the distribution transformer, Kpv is current value coefficient of continuous n-year cost with the discount rate of the distribution transformer being i, E is average purchase price of the distribution transformer user,hpy is the annual charge hours of the distribution transformer, P0For no-load power losses of distribution transformers, KTFor the coefficient of variation of the distribution, PKFor distribution of rated load power loss, PHThe highest active power predetermined for the distribution transformer, S is the distribution transformer capacity, cos phi is the distribution transformer power factor, and the highest load factor β of the distribution transformerH=PH/S/2/cosΦ,Kpv={1-1/(1+i)n}/i;
The step S3 specifically includes:
fluctuation coefficient K of distribution transformer under different power supply load propertiesTAnd a maximum load rate β of said distribution transformerHInformation equal to 2 times of the average load rate β, and receiving the initial cost CI of the distribution transformer, the current value coefficient Kpv of the continuous n-year cost with the discount rate of the distribution transformer being i, the average electricity purchase price E of the distribution transformer user, the annual electricity charge hours Hpy of the distribution transformer, and the no-load power loss P of the distribution transformer0Rated load power loss P of distribution transformerKThe maximum active power P predetermined by the distribution transformerHThe method comprises the following steps of obtaining simplified calculation model formula of total ownership cost through a calculation model formula of total ownership cost TOC of the distribution transformer, obtaining the minimum value of the total ownership cost, obtaining and outputting the distribution transformer corresponding to the minimum value, wherein the calculation model formula of the total ownership cost TOC of the distribution transformer is as follows:
TOC=CI+Kpv×E×Hpy×{P0+KT×(PH/S/2/cosΦ)2×PK}
wherein TOC is total cost of the distribution transformer, CI is initial cost of the distribution transformer, Kpv is current value coefficient of continuous n-year cost with current rate of the distribution transformer being i, E is average electricity purchase price of distribution transformer user, Hpy is annual charge hours of the distribution transformer, P0For no-load power losses of distribution transformers, KTFor the coefficient of variation of the distribution, PKFor distribution of rated load power loss, PHThe highest active power predetermined for the distribution transformer, S is the distribution transformer capacity, cos phi is the distribution transformer power factor, and the highest load factor β of the distribution transformerH=PH/S/2/cosΦ,Kpv={1-1/(1+i)n}/i;
The step S1 specifically includes:
the method comprises the steps of obtaining electric quantity data recorded by a preset distribution transformer in each hour, calculating the fluctuation coefficient of the distribution transformer through a first formula and a second formula, and obtaining the fluctuation coefficient of the distribution transformer under the power supply load properties of I type, II type, III type and IV type through comparing and analyzing the electric quantity data and the fluctuation coefficient.
2. A distribution selection apparatus for a lowest cost based on a full life cycle of a device, comprising:
the first acquisition unit is used for acquiring preset electric quantity data recorded by the distribution transformer in each hour, and calculating the fluctuation coefficient of the distribution transformer through a first formula and a second formula to obtain the fluctuation coefficient of the distribution transformer under different power supply load properties;
the first formula is: kT=Kf 2
The second formula is:
Figure FDA0002237444660000031
wherein A isjThe quantity of electricity recorded per hour for the distribution transformer, T the statistical period of the quantity of electricity recorded per hour for the distribution transformer, KfFor the form factor of the transformation, KTThe fluctuation coefficient of the distribution transformer; the second acquisition unit is used for acquiring the data of the highest load rate and the average load rate of the distribution transformer and acquiring the information that the highest load rate of the distribution transformer is equal to 2 times of the average load rate of the distribution transformer;
a third obtaining unit, configured to obtain, through a calculation model formula of total ownership cost of the distribution transformer, a simplified calculation model formula of total ownership cost, a minimum value of the total ownership cost, and obtain a distribution transformer corresponding to the minimum value, according to information that a fluctuation coefficient of the distribution transformer and a highest load rate of the distribution transformer are equal to 2 times of the average load rate under different power supply load properties;
the calculation model formula of the total ownership cost of the distribution transformer is as follows:
TOC=CI+Kpv×E×Hpy×{P0+KT×(PH/S/2/cosΦ)2×PK}
wherein TOC isThe total cost of the distribution transformer, CI is the initial cost of the distribution transformer, Kpv is the current value coefficient of continuous n-year cost with the discount rate of the distribution transformer being i, E is the average electricity purchase price of the distribution transformer user, Hpy is the annual charge hours of the distribution transformer, P0For no-load power losses of distribution transformers, KTFor the coefficient of variation of the distribution, PKFor distribution of rated load power loss, PHThe highest active power predetermined for the distribution transformer, S is the distribution transformer capacity, cos phi is the distribution transformer power factor, and the highest load factor β of the distribution transformerH=PH/S/2/cosΦ,Kpv={1-1/(1+i)n}/i;
The third obtaining unit specifically includes:
receiving subunit, in particular for a coefficient of fluctuation K of a distribution transformation by means of different supply load propertiesTAnd a maximum load rate β of said distribution transformerHInformation equal to 2 times of the average load rate β, and receiving the initial cost CI of the distribution transformer, the current value coefficient Kpv of the continuous n-year cost with the discount rate of the distribution transformer being i, the average electricity purchase price E of the distribution transformer user, the annual electricity charge hours Hpy of the distribution transformer, and the no-load power loss P of the distribution transformer0Rated load power loss P of distribution transformerKThe maximum active power P predetermined by the distribution transformerHData information of distribution transformer capacity S and distribution transformer power factor cos phi;
the first obtaining subunit is specifically configured to obtain a simplified calculation model formula of the total ownership cost through a calculation model formula of total ownership cost TOC of the distribution transformer, obtain a minimum value of the total ownership cost, and obtain the distribution transformer corresponding to the minimum value;
and the output subunit is specifically configured to output the distribution transformer corresponding to the minimum value, and a calculation model formula of total ownership cost TOC of the distribution transformer is as follows:
TOC=CI+Kpv×E×Hpy×{P0+KT×(PH/S/2/cosΦ)2×PK}
wherein TOC is total cost of the distribution transformer, CI is initial cost of the distribution transformer, Kpv is current value coefficient of continuous n-year cost with current rate of the distribution transformer being i, E is average electricity purchase price of distribution transformer user, Hpy is annual charge hours of the distribution transformer, P0For no-load power losses of distribution transformers, KTFor the coefficient of variation of the distribution, PKFor distribution of rated load power loss, PHThe highest active power predetermined for the distribution transformer, S is the distribution transformer capacity, cos phi is the distribution transformer power factor, and the highest load factor β of the distribution transformerH=PH/S/2/cosΦ,Kpv={1-1/(1+i)n}/i;
The first obtaining unit specifically includes:
the second acquiring subunit is specifically configured to acquire electric quantity data recorded by a preset distribution transformer every hour;
the calculating subunit is specifically configured to calculate a fluctuation coefficient of the distribution transform by using a first formula and a second formula;
and the third obtaining subunit is specifically configured to obtain the fluctuation coefficient of the distribution transformer under the power supply load properties of class I, class II, class III, and class IV by performing comparative analysis on the electric quantity data and the fluctuation coefficient.
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