CN106202596A - A kind of segmentation method of tou power price - Google Patents
A kind of segmentation method of tou power price Download PDFInfo
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- CN106202596A CN106202596A CN201510230094.6A CN201510230094A CN106202596A CN 106202596 A CN106202596 A CN 106202596A CN 201510230094 A CN201510230094 A CN 201510230094A CN 106202596 A CN106202596 A CN 106202596A
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Abstract
nullThe invention discloses the segmentation method of a kind of tou power price，The method uses syllogic dividing mode，Peak will be divided into by one day 24h、Paddy、Flat three different periods，Its division principle is to be carried out asking for of typical per day load Pave curve by the load curve of electrical network typical case's day，The basis divided as peak interval of time，A bandwidth k1 ~ k2 is taken up and down at Pave curve，The division of peak interval of time is carried out according to this bandwidth，The peak period is the load section bigger than k2，The paddy period is the load section less than k1，Section is the load section between k1 ~ k2 at ordinary times，The dividing mode of the present invention，Both based on the load curve of power consumer，Also allow for the utilization power of electrical network equipment for power transmission and distribution，The method is easy to power consumer and the load of peak period is transferred to low-valley interval is carried out precise quantification，Realize peak load shifting，Integral load curvilinear motion is made to tend towards stability，Thus alleviate the peak regulation pressure of mains side，Improve the whole utilization efficiency of grid side equipment，Reach the target of the optimization in many ways made a profit.
Description
Technical field
The present invention relates to the segmentation method of a kind of tou power price, belong to electric power network technique field.
Background technology
nullThe division of tou power price period is the basis of tou power price price，No matter before the enforcement of tou power price or after enforcement，Reasonably Time segments division wants correctly to reflect the actual kurtosis of load curve，I.e. implementing the load peak period before tou power price after implementing tou power price still or peak period，And implement the load valley period before tou power price and implementing after tou power price also or low-valley interval，The division of the load peak interval of time that each provinces and regions of China are existing，It is often empirically to carry out dividing，Moment point period ownership around the summit point of load curve and minimum valley point and summit point and minimum valley point can easily determine，But remove outside these ownership moment point that can directly judge，The moment of some other load point being of moderate size just cannot directly judge that it belongs to，Decision-maker will be relied on to determine after the features of shape of load curve is probably estimated，The impact of this dividing mode subjective factors is the biggest，Lack scientific and motility，There is no rigorous theory support.
Summary of the invention
It is an object of the invention to: for the defect of prior art, it is provided that the segmentation method of a kind of tou power price, can science objective carries out peak to actual electric network load curve, paddy, at ordinary times section divide, to overcome the deficiencies in the prior art.
Technical scheme
The segmentation method of a kind of tou power price, the method uses syllogic dividing mode, will be divided into peak, paddy, flat three different periods by one day 24h, and its division principle is；
One, asking for of typical per day load Pave curve is carried out by the load curve of electrical network typical case's day, the basis divided as peak interval of time；
Two, taking a bandwidth k1 ~ k2 up and down at Pave curve, carry out the division of peak interval of time according to this bandwidth, specific as follows: the peak period is the load section bigger than k2, the paddy period is the load section less than k1, at ordinary times section be k1 ~ between load section.
In the segmentation method of aforesaid a kind of tou power price, the determination principle in broadband is:
One, according to mean power Pave of grid load curve obtained, simultaneously according to area power grid 110kV transformator amount of capacity, obtain the average load coefficient of transformator
β ave=transformator averagely exports apparent energy/transformator rated power=Pave/SNcosΦ；
Two, changed from the efficiency characteristic of transformator, as load factor β2mPkN=P0Time, the efficiency of transformator is maximum；
Three, during transformator actual motion, iron loss P0It is constantly present, and copper loss PkNCan change along with the change of load, during design of transformer, typically take iron loss and be about 1/4～1/3 with the ratio of copper loss during nominal load, therefore transformator peak efficiency occurs in the range of load factor β=0.5～0.6, and instead releasing network load coefficient using this is the standard as bandwidth value of load when 0.5～0.6；
When 0.5 < β ave < when 0.6, bandwidth value press load factor β=0.5,0.6 time corresponding network load as bound；
As β ave, < when 0.5, bandwidth value takes bound by the network load of load factor β ave < β < 0.6 correspondence；
As β ave>0.6, bandwidth value takes bound by load factor 0.5<β<β network load corresponding for ave.
Owing to have employed technique scheme, compared with prior art, the present invention is with load factor during transformator peak efficiency as reference, it is divided into peak to one day, paddy, flat three different periods, the dividing mode of the present invention, both based on the load curve of power consumer, also allow for the utilization power of electrical network equipment for power transmission and distribution, the method is easy to power consumer and the load of peak period is transferred to low-valley interval is carried out precise quantification, thus realize peak load shifting, integral load curvilinear motion is made to tend towards stability, thus alleviate the peak regulation pressure of mains side, improve the whole utilization efficiency of grid side equipment, reach the target of the optimization in many ways made a profit.
Accompanying drawing explanation
Accompanying drawing 1 is the partitioning model schematic diagram of the present invention.
Detailed description of the invention
Below in conjunction with the accompanying drawings to the present invention with being described in further detail, but not as any limitation of the invention.
Embodiments of the invention: tou power price time period partition model
One. the selection of tou power price segmented mode
Formulating rational tou power price to be intended to be divided into basis with rational peak interval of time, the segmented mode choosing tou power price will directly affect the division of timesharing period.Different segmented modes, the effect of generation is the most different.In general, tou power price many employings peak valley two period of China's each provinces and regions present and peak valley equal two kinds of dividing mode of three periods, and both comparisons are as shown in table 1.
Table 1 tou power price difference segmented mode compares
Knowable to above-mentioned comparison, the division of tou power price three period has more reasonability, more can objectively respond out the Variation Features of load curve, it is to avoid the over-reactive generation of power consumer, prevents peak valley phenomena of inversion.Meanwhile, with reference to China each provinces and regions electrical network tou power price performance, it is proposed that use the division (peak, paddy, flat) of three periods, do not consider only to carry out the division of peak valley two period.
Two. the partitioning model of tou power price timesharing period
The division of tou power price period is the basis of tou power price price, no matter before the enforcement of tou power price or after enforcement, reasonably Time segments division wants correctly to reflect the actual kurtosis of load curve, i.e. implementing the load peak period before tou power price after implementing tou power price still or peak period, and implement the load valley period before tou power price after implementing tou power price also or low-valley interval.The division of the load peak interval of time that each provinces and regions of China are existing, it is often empirically to carry out dividing, moment point period ownership around the summit point of load curve and minimum valley point and summit point and minimum valley point can easily determine, but remove outside these ownership moment point that can directly judge, the moment of some other load point being of moderate size just cannot directly judge that it belongs to, decision-maker will be relied on to determine after the features of shape of load curve is probably estimated, the impact of this dividing mode subjective factors is the biggest, lack scientific and motility, there is no rigorous theory support.
The division of the peak interval of time of science, should be based on the load curve of power consumer, the utilization power of electrical network equipment for power transmission and distribution to be considered.The main purpose implementing tou power price seeks to the power consumer load in peak period is transferred to low-valley interval, realize peak load shifting, integral load curvilinear motion is made to tend towards stability, thus alleviate the peak regulation pressure of mains side, improve the whole utilization efficiency of grid side equipment, reach the target of the optimization in many ways made a profit.
1. the division principle of timesharing period
On the one hand when carrying out Time segments division, in addition to discussing for the summit point of load curve and lowest trough point, on load curve the load of remaining each moment point be in which period should classifying rationally be carried out；On the other hand, in order to promote distributing rationally of power network resources, improve the utilization ratio of grid equipment, when carrying out dividing design, it should combine the utilization power of grid equipment, embody the division of peak interval of time from the utilization ratio of grid equipment.The partitioning model of this project tou power price timesharing period is as it is shown in figure 1, concrete division principle is as follows.
According to foregoing teachings, the timesharing Time segments division mode of this Project design uses syllogic dividing mode, will be divided into peak, paddy, flat three different periods by one day 24h, and its division principle is:
(1) asking for of typical per day load Pave curve is carried out by the load curve of electrical network typical case's day, the basis divided as peak interval of time.
(2) take a bandwidth k1 ~ k2 up and down at Pave curve, carry out the division of peak interval of time according to this bandwidth, specific as follows: the peak period: t2 ~ t3, t4 ~ t5, paddy period: t6 ~ t1, at ordinary times section: t1 ~ t2, t3 ~ t4, t5 ~ t6.
2. the determination principle of timesharing section bandwidth at ordinary times
Above partitioning model is visible, and the size of bandwidth k1 ~ k2 directly affects the division of peak interval of time, and bandwidth is wide, and peak interval of time will be compressed, Time segments division can ratio relatively decentralized, peak interval of time will not have availability；Bandwidth is narrow, and Time segments division compares concentration, and peak, the persistent period of paddy single period are longer, it is impossible to embody the actual characteristic of load variations very well.When artificially adjusting the bandwidth in above-mentioned division methods, the utilization power of electrical network existing equipment to be taken into full account, convenient application, specifically determines that principle is as follows again.
(1) according to mean power Pave of grid load curve obtained, simultaneously according to area power grid 110kV transformator amount of capacity, obtain the average load coefficient of transformator
(2) changed from the efficiency characteristic of transformator, work as load factor
Time, the efficiency of transformator reaches maximum.
During due to transformator actual motion, iron loss P0It is constantly present, and copper loss PkNCan change along with the change of load, and the impossible long-term full-load run of transformator, so the less average efficiency to transformator whole year operation of iron loss is favourable, during general design of transformer, take iron loss and be about 1/4 ~ 1/3 with the ratio of copper loss during nominal load, therefore, transformator peak efficiency occurs in the range of load factor β=0.5 ~ 0.6.Instead releasing network load coefficient using this is the standard as bandwidth value of load when 0.5 ~ 0.6.
When 0.5 < β ave < when 0.6, bandwidth value press load factor β=0.5,0.6 time corresponding network load as bound；
As β ave, < when 0.5, bandwidth value takes bound by the network load of load factor β ave < β < 0.6 correspondence；
As β ave>0.6, bandwidth value takes bound by load factor 0.5<β<β network load corresponding for ave.
Claims (2)
1. the segmentation method of a tou power price, it is characterised in that: the method uses syllogic dividing mode, will be divided into peak, paddy, flat three different periods by one day 24h, and its division principle is:
One, asking for of typical per day load Pave curve is carried out by the load curve of electrical network typical case's day, the basis divided as peak interval of time；
Two, take a bandwidth k1 ~ k2 up and down at Pave curve, carry out the division of peak interval of time according to this bandwidth, specific as follows:
The peak period is the load section bigger than k2, and the paddy period is the load section less than k1, and section is the load section between k1 ~ k2 at ordinary times.
The segmentation method of a kind of tou power price the most according to claim 1, it is characterised in that the determination principle in broadband is:
One, according to mean power Pave of grid load curve obtained, simultaneously according to area power grid 110kV transformator amount of capacity, obtain the average load coefficient of transformator
β ave=transformator averagely exports apparent energy/transformator rated power=Pave/SNcosΦ；
Two, changed from the efficiency characteristic of transformator, as load factor β2mPkN=P0Time, the efficiency of transformator is maximum；
Three, during transformator actual motion, iron loss P0It is constantly present, and copper loss PkNCan change along with the change of load, during design of transformer, typically take iron loss and be about 1/4～1/3 with the ratio of copper loss during nominal load, therefore transformator peak efficiency occurs in the range of load factor β=0.5～0.6, and instead releasing network load coefficient using this is the standard as bandwidth value of load when 0.5～0.6；
When 0.5 < β ave < when 0.6, bandwidth value press load factor β=0.5,0.6 time corresponding network load as bound；
As β ave, < when 0.5, bandwidth value takes bound by the network load of load factor β ave < β < 0.6 correspondence；
As β ave>0.6, bandwidth value takes bound by load factor 0.5<β<β network load corresponding for ave.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109389437A (en) * | 2018-11-08 | 2019-02-26 | 国网河北省电力有限公司电力科学研究院 | Pricing method, pricing device and the terminal of electricity price |
| CN113054669A (en) * | 2021-04-02 | 2021-06-29 | 国家电网有限公司 | Block chain technology-based distribution network peak-shifting valley-leveling self-adaptive self-balancing method |
| CN113224752A (en) * | 2021-05-06 | 2021-08-06 | 合肥工业大学 | Peak-valley time interval dividing method considering reliability loss under constant time-of-use electricity price |
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2015
- 2015-05-08 CN CN201510230094.6A patent/CN106202596A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109389437A (en) * | 2018-11-08 | 2019-02-26 | 国网河北省电力有限公司电力科学研究院 | Pricing method, pricing device and the terminal of electricity price |
| CN109389437B (en) * | 2018-11-08 | 2021-08-31 | 国网河北省电力有限公司电力科学研究院 | Pricing method and device of electricity price and terminal |
| CN113054669A (en) * | 2021-04-02 | 2021-06-29 | 国家电网有限公司 | Block chain technology-based distribution network peak-shifting valley-leveling self-adaptive self-balancing method |
| CN113224752A (en) * | 2021-05-06 | 2021-08-06 | 合肥工业大学 | Peak-valley time interval dividing method considering reliability loss under constant time-of-use electricity price |
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Application publication date: 20161207 |