CN110378594A - A kind of calculation method of grid loss - Google Patents

A kind of calculation method of grid loss Download PDF

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Publication number
CN110378594A
CN110378594A CN201910638026.1A CN201910638026A CN110378594A CN 110378594 A CN110378594 A CN 110378594A CN 201910638026 A CN201910638026 A CN 201910638026A CN 110378594 A CN110378594 A CN 110378594A
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load
season
day
period
grid loss
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CN110378594B (en
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张翌晖
文立斌
刘光时
窦骞
王晓明
丘浩
丘晓茵
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Electric Power Research Institute of Guangxi Power Grid Co Ltd
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Electric Power Research Institute of Guangxi Power Grid Co Ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Electricity, gas or water supply

Abstract

The present invention relates to grid loss computing technique fields, and in particular to a kind of calculation method of grid loss.Existing loss computing method do not calculate it is rich it is withered than coefficient, big Smaller load period than coefficient, use、、、Arithmetic average calculates grid loss, does not account for the operation duration factor of different modes, as a result may be incorrect.The present invention considers wet season, dry season, big load, Smaller load different time length, by counting the wet season respectively, dry season counts duration, will " rich big ", " rich small ", " withered big ", " withered small " four kinds of methods of operation influence of the duration to grid loss in view of so improving the accuracy of grid loss calculating in the calculating of grid loss.

Description

A kind of calculation method of grid loss
Technical field
The present invention relates to grid loss computing technique fields, and in particular to a kind of calculation method of grid loss.
Background technique
Grid loss is calculated when selecting at present using rich big, rich small, withered big, withered small middle power maximum value as different schemes ratio The foundation of size, simple and easy although this method is directly, art methods are only capable of calculating power, compare performance number Grid loss value under different schemes is obtained, the factor of actual motion duration under different running method is not accounted for, causes to calculate and tie Fruit inaccuracy.
Summary of the invention
To solve the above-mentioned problems, the present invention provides a kind of calculation method of grid loss, specific technical solution is as follows:
A kind of calculation method of grid loss, comprising the following steps:
S1: period wet season is accumulated as m in calculating reference yearfMonth, the period in dry season is accumulated as mkMonth；
S2: wet season per day load P is calculatedavf；
S3: load is greater than P in statistical monitoring dayavfPeriod, be set as Tf1；Load is less than PavfPeriod, be set as Tf2；It is negative Lotus is equal to PavfPeriod, be set as Tf3；If large load operation time wet season is Tf4, wet season Smaller load runing time is Tf5； Then
Tf4=Tf1+0.5Tf3；
Tf5=Tf2+0.5Tf3；
S4: calculating dry season per day load is Pavk；
S5: load is greater than P in statistical monitoring dayavkPeriod, be set as Tk1；Load is less than PavkPeriod, be set as Tk2；It is negative Lotus is equal to PavkPeriod, be set as Tk3；If the large load operation time in dry season is Tk4, dry season Smaller load runing time is Tk5； Then
Tk4=Tk1+0.5Tk3；
Tk5=Tk2+0.5Tk3；
S6: calculating grid loss, and the calculation of grid loss is as follows:
Wherein, PLossfD、PLossfX、PLosskD、PLosskXIt is wet season large load operation mode, wet season Smaller load fortune respectively The power consumption of line mode, dry season large load operation mode, the dry season Smaller load method of operation.
Preferably, the step S2 specifically includes the following steps:
S21: calculating average daily load curve in the wet season, specific as follows:
Wherein, i=1 ..., nf, nfFor the number of days of wet season；PijFor the load at i-th day j moment；PavfjIt is rich for the j moment The average load of water phase；
S22: calculating the per day electricity of wet season, specific as follows:
Wherein, j=1 ..., tD, tDThe last moment is monitored for day；ΔtjInterval time is monitored for day；
S23: wet season per day load P is calculatedavf, it is specific as follows:
Pavf=Wavf/24。
Preferably, the step S4 specifically includes the following steps:
S41: calculating average daily load curve in dry season, specific as follows:
Wherein, i=1 ..., nk, nkFor the number of days in dry season；PijFor the load at i-th day j moment；PavkjIt is withered for the j moment The average load of water phase；
S42: calculating the per day electricity in dry season, specific as follows:
Wherein, j=1 ..., tD, tDThe last moment is monitored for day；ΔtjInterval time is monitored for day；
S43: dry season per day load P is calculatedavk, it is specific as follows:
Pavk=Wavk/24。
The invention has the benefit that
This method, will " rich big ", " rich small ", " withered big ", " withered small " by counting wet season, dry season statistics duration respectively Influence of the duration of four kinds of methods of operation to grid loss is in view of so improving grid loss meter in the calculating of grid loss The accuracy of calculation.
Detailed description of the invention
Fig. 1 is that wet season or the per day of dry season meet curve.
Specific embodiment
In order to better understand the present invention, the present invention will be further explained below with reference to the attached drawings and specific examples:
A kind of calculation method of grid loss, comprising the following steps:
S1: period wet season is accumulated as m in calculating reference yearfMonth, the period in dry season is accumulated as mkMonth；
S2: wet season per day load P is calculatedavf；The following steps are included:
S21: calculating average daily load curve in the wet season, specific as follows:
Wherein, i=1 ..., nf, nfFor the number of days of wet season；PijFor the load at i-th day j moment；PavfjIt is rich for the j moment The average load of water phase；
S22: calculating the per day electricity of wet season, specific as follows:
Wherein, j=1 ..., tD, tDThe last moment is monitored for day；ΔtjInterval time is monitored for day；
S23: wet season per day load P is calculatedavf, it is specific as follows:
Pavf=Wavf/24； (3)
S3: load is greater than P in statistical monitoring dayavfPeriod, be set as Tf1；Load is less than PavfPeriod, be set as Tf2；It is negative Lotus is equal to PavfPeriod, be set as Tf3；If large load operation time wet season is Tf4, wet season Smaller load runing time is Tf5； Then Tf4=Tf1+0.5Tf3； (4)
Tf5=Tf2+0.5Tf3； (5)
S4: calculating dry season per day load is Pavk；Specifically includes the following steps:
S41: calculating average daily load curve in dry season, specific as follows:
Wherein, i=1 ..., nk, nkFor the number of days in dry season；PijFor the load at i-th day j moment；PavkjIt is withered for the j moment The average load of water phase；
S42: calculating the per day electricity in dry season, specific as follows:
Wherein, j=1 ..., tD, tDThe last moment is monitored for day；ΔtjInterval time is monitored for day；
S43: dry season per day load P is calculatedavk, it is specific as follows:
Pavk=Wavk/24； (8)
S5: load is greater than P in statistical monitoring dayavkPeriod, be set as Tk1；Load is less than PavkPeriod, be set as Tk2；It is negative Lotus is equal to PavkPeriod, be set as Tk3；If the large load operation time in dry season is Tk4, dry season Smaller load runing time is Tk5； Then
Tk4=Tk1+0.5Tk3； (9)
Tk5=Tk2+0.5Tk3； (10)
S6: calculating grid loss, and the calculation of grid loss is as follows:
Wherein, PLossfD、PLossfX、PLosskD、PLosskXIt is wet season large load operation mode, wet season Smaller load fortune respectively The power consumption of line mode, dry season large load operation mode, the dry season Smaller load method of operation.PLossfD、PLossfX、PLosskD、 PLosskXIt can be calculated by programs such as electric system popular software such as BPA, PSASP.
It defines rich withered as follows than coefficient:
It is as follows than coefficient to define the wet season big Smaller load period:
It is as follows than coefficient to define the big Smaller load period in dry season:
Then the calculation of network loss consumption can rewrite are as follows:
As shown in Figure 1, being wet season or dry season per day load curve.By referring to abundance of water in the phase to loss calculation Phase or dry season all daily load curves carry out arithmetic mean of instantaneous value point by point and are calculated.
P is acquired by formula (3) and formula (8) respectivelyavfAnd PavkAfterwards, in wet season or dry season per day load chart It is upper to indicate as shown in Figure 1.Wherein t1、t9It is the beginning and end moment of curve, t2To t8It is PavfOr PavkWith wet season or low water Phase per day load curve intersection point abscissa.Then
Tf1=(t3-t2)+(t6-t5)+(t8-t7)； (16)
Tf2=(t2-t1)+(t5-t4)+(t9-t8)； (17)
Tf3=(t4-t3)+(t7-t6)； (18)
Tk1=(t3-t2)+(t6-t5)+(t8-t7)； (19)
Tk2=(t2-t1)+(t5-t4)+(t9-t8)； (20)
Tk3=(t4-t3)+(t7-t6)； (21)
Tk1、Tk2、Tk3It is found out also according to the above rule.
By formula (16), (17), (18) formula substitute into (4) respectively, (5) obtain Tf4、Tf5, the T that will be calculatedf4、Tf5It substitutes into Formula (13) the wet season big Smaller load period must compare COEFFICIENT KfDX。
By formula (19), (20), (21) formula substitute into (9) respectively, (10) obtain Tk4、Tk5, the T that will be calculatedk4、Tk5Generation Entering formula (14) the big Smaller load period in dry season must compare COEFFICIENT KkDX。
Above-mentioned calculated result is substituted into formula (11) or (15) again and obtains grid loss.
Existing loss computing method do not calculate it is rich it is withered than coefficient, big Smaller load period than coefficient, using PLossfD、 PLossfX、PLosskD、PLosskXArithmetic average calculates grid loss, does not account for the operation duration factor of different modes, as a result may be used It can be incorrect.The present invention considers wet season, dry season, big load, Smaller load different time length, compensates for existing algorithm Defect.
For example, power grid construction option A, creates plant-grid connection 110kV voltage class, PLossfD=1.0, PLossfX=0.8, PLosskD=0.7, PLosskX=0.6；Power grid construction option b creates plant-grid connection 220kV voltage class, PLossfD=0.7, PLossfX=0.6, PLosskD=0.9, PLosskX=0.8；It is rich withered to compare coefficientThe wet season big Smaller load period compares coefficient KfDXThe big Smaller load period in=dry season compares COEFFICIENT KkDX=4.
Then P is taken according to existingLossfD、PLossfX、PLosskD、PLosskXArithmetic average method, it may be assumed that
Ploss=(PlossD+PlossfX+PlosskD+PlosskX)/4； (22)
It can obtain, PLossA=0.775；PLossB=0.75.Option A grid loss is greater than option b；According to the method for the present invention, very The operation duration of different modes must be taken into consideration in the result of truth condition, then PLossA=0.675；PLossB=0.77.Option b power grid damage Consumption is greater than option A.
The present invention is not limited to above-described specific embodiment, and the foregoing is merely preferable case study on implementation of the invention , it is not intended to limit the invention, any modification done within the spirit and principles of the present invention and changes equivalent replacement Into etc., it should all be included in the protection scope of the present invention.

Claims (3)

1. a kind of calculation method of grid loss, it is characterised in that: the following steps are included:
S1: period wet season is accumulated as m in calculating reference yearfMonth, the period in dry season is accumulated as mkMonth；
S2: wet season per day load P is calculatedavf；
S3: load is greater than P in statistical monitoring dayavfPeriod, be set as Tf1；Load is less than PavfPeriod, be set as Tf2；Load is equal to PavfPeriod, be set as Tf3；If large load operation time wet season is Tf4, wet season Smaller load runing time is Tf5；Then
Tf4=Tf1+0.5Tf3；
Tf5=Tf2+0.5Tf3；
S4: calculating dry season per day load is Pavk；
S5: load is greater than P in statistical monitoring dayavkPeriod, be set as Tk1；Load is less than PavkPeriod, be set as Tk2；Load is equal to PavkPeriod, be set as Tk3；If the large load operation time in dry season is Tk4, dry season Smaller load runing time is Tk5；Then
Tk4=Tk1+0.5Tk3；
Tk5=Tk2+0.5Tk3；
S6: calculating grid loss, and the calculation of grid loss is as follows:
Wherein, PLossfD、PLossfX、PLosskD、PLosskXIt is wet season large load operation mode, wet season Smaller load operation side respectively The power consumption of formula, dry season large load operation mode, the dry season Smaller load method of operation.
2. a kind of calculation method of grid loss according to claim 1, it is characterised in that: the step S2 is specifically included Following steps:
S21: calculating average daily load curve in the wet season, specific as follows:
Wherein, i=1 ..., nf, nfFor the number of days of wet season；PijFor the load at i-th day j moment；PavfjFor the j wet season at moment Average load；
S22: calculating the per day electricity of wet season, specific as follows:
Wherein, j=1 ..., tD, tDThe last moment is monitored for day；ΔtjInterval time is monitored for day；
S23: wet season per day load P is calculatedavf, it is specific as follows:
Pavf=Wavf/24。
3. a kind of calculation method of grid loss according to claim 1, it is characterised in that: the step S4 is specifically included Following steps:
S41: calculating average daily load curve in dry season, specific as follows:
Wherein, i=1 ..., nk, nkFor the number of days in dry season；PijFor the load at i-th day j moment；PavkjFor j dry season at moment Average load；
S42: calculating the per day electricity in dry season, specific as follows:
Wherein, j=1 ..., tD, tDThe last moment is monitored for day；ΔtjInterval time is monitored for day；
S43: dry season per day load P is calculatedavk, it is specific as follows:
Pavk=Wavk/24。
CN201910638026.1A 2019-07-16 2019-07-16 Power grid loss calculation method Active CN110378594B (en)

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102930480A (en) * 2012-11-19 2013-02-13 甘肃省电力公司电力科学研究院 System and method for comprehensive energy efficiency evaluation of hydraulic power plant
CN104299072A (en) * 2014-09-28 2015-01-21 国家电网公司 Security constraint generation schedule planning method based on water and fire coordination
CN104377726A (en) * 2014-11-11 2015-02-25 国家电网公司 Peak shaving method for large-scale new energy grid-connected power generation
US9257840B2 (en) * 2012-02-22 2016-02-09 General Electric Company Synchronized PWM randomization for coordinated load management
CN108764547A (en) * 2018-05-17 2018-11-06 西安交通大学 A kind of Mid-long Term Load curve generation method meeting Constraint

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9257840B2 (en) * 2012-02-22 2016-02-09 General Electric Company Synchronized PWM randomization for coordinated load management
CN102930480A (en) * 2012-11-19 2013-02-13 甘肃省电力公司电力科学研究院 System and method for comprehensive energy efficiency evaluation of hydraulic power plant
CN104299072A (en) * 2014-09-28 2015-01-21 国家电网公司 Security constraint generation schedule planning method based on water and fire coordination
CN104377726A (en) * 2014-11-11 2015-02-25 国家电网公司 Peak shaving method for large-scale new energy grid-connected power generation
CN108764547A (en) * 2018-05-17 2018-11-06 西安交通大学 A kind of Mid-long Term Load curve generation method meeting Constraint

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