CN105870922A - Valley electricity price regulating and control method for guiding private electric vehicle clustered time-difference responses - Google Patents

Abstract

A valley electricity price regulating and control method for guiding private electric vehicle clustered time-difference responses comprises the steps of wind abandoning power information on working days and weekends in winter is counted by using wind electricity output information and load information of a regional power grid in winter and combining tracking of the minimum technological output of a unit; outgoing and charging behaviors of a PEV are randomly simulated with outgoing chain information, and the natural charging feature information and cluster charging load information of the PEV are counted; valley electricity price effect-taking time intervals of a PEV cluster are deployed with the abandoning wind power information and the PEV natural charging feature information; a valley electricity price effect-taking time scheme is deployed to charging pile electric energy meters in different regions; the PEV valley charging electricity price is determined. The alley electricity price regulating and control method is low in technology implementation difficulty and cost; stable complementation and collaboration of the charging load and the valley period excessive wind electricity of the PEV cluster are promoted, and the wind electricity consumption and acceptance rate and PEV environment-friendly electricity substituting rate are increased; the comprehensive energy efficiency of a clean power supply, an intelligent power grid and an environment-friendly load system can be improved.

Description

A kind of guide private savings electric motor car hive off stagger the time response low ebb electricity price regulation and control method

Technical field

The present invention relates to power system Demand Side Response technical field, be specifically related to a kind of guide private savings electric motor car to hive off mistake Time response low ebb electricity price regulation and control method.

Background technology

Development renewable and clean energy resource is China with electric automobile (Plug-in Electric Vehicle, PEV) industry Alleviate energy and environment pressure, the great national strategy of raising national economy comprehensive energy efficiency., electric power unreasonable by power supply architecture is handed over Easily mechanism is unsound and wind of abandoning during the factor impact such as electric power production capacity surplus, China " three Norths " area heat supply in winter is rationed the power supply phenomenon Become the most serious.Once PEV popularizes on a large scale, if taking entirely autonomous unordered Charge Management mode, then charging load is very May produce " peak-to-peak superposes " effect with electrical network conventional load, this is not only helpless to alleviate wind-powered electricity generation anti-peak regulation pressure, even can become Originally add to increase electrical network regulation burden strictly and be further exacerbated by low ebb and abandon wind.Due to northern China primary energy be that coal is many, gas is few, The situation that water lacks, if PEV flocks together charging at load boom period, then the energy content of battery will derive from thermoelectricity more, i.e. " with electric generation Oil " original intention be actually dissimilated as " with coal for replacing oil ", cause PEV not become new-energy automobile truly.Big rule The unordered charging of mould PEV also can aggravate the regulation and control pressure of transmission system；" peak-to-peak is folded for unordered charging load and conventional feeder load Add " will result in the heavy duty of distribution system local, even jeopardize its safe operation.Additionally, extensive unordered charging load also can increase The investment of unnecessary power supply and equipment for power transmission and distribution and operation cost, reduce the utilization of load valley period power supply and grid equipment Efficiency.Owing to PEV charging load possesses stronger time metastatic potential, if using the charging of Demand Side Response technology leader negative Lotus is transferred to low-valley interval in order, then can reduce the harmful effect that electrical network is caused by the unordered charging of PEV, and conscientiously improve wind-powered electricity generation Rate of dissolving and PEV use the green efficiency of process.

At present, the common demand response technology charged in order towards PEV can be divided into two classes.One class is to be handed over by a large amount of PEV Managed by middle-agent, act on behalf of the charging plan according to each PEV of upper strata dispatch command reasonable arrangement lower floor.This kind of scheme need to be joined The scheduling of standby wide area closed loop regulator control system and complexity supports algorithm, controls difficulty higher with cost of investment.For meeting user's charging Demand, it has to the real-time or charging status information of timing acquiring user, easily invades the right of privacy of user；User once signs Ordering relevant contract, charging control will lapse to middle-agent, and the autonomous dynamic role of user will be difficult to play.Therefore, car owner is general This type of scheme can be held passiveness and even oppose attitude.Visible, use this type of scheme to realize PEV and charge in order to improve wind electricity digestion Rate, in a short time or there is bigger technology and economic obstacle.

Another kind of is to guide PEV peak load shifting based on Peak-valley TOU power price.At present, the big multipair all PEV of correlative study (fill Electricity stake) implement identical time-of-use tariffs policy, although this can transfer to the network load low ebb phase charging load effectively, but Because major part PEV car owner often concentrates grid-connected charging at the low ebb rate period initial stage, therefore easily forms load power in short-term Skyrocket phenomenon.This most reasonably electricity price boot scheme can bring new impact to electrical network, is unfavorable for charge load and low ebb Period surplus wind-powered electricity generation forms the collaborative situation on the basis of steady complementation, thus it is green to affect cleaner power sources (wind-powered electricity generation) intelligent grid The further raising of look load (electric automobile) system synthesis efficiency.

Summary of the invention

Inventor, for the above-mentioned state of the art, utilizes the time metastatic potential that PEV charging load is stronger, it is provided that a kind of guiding Private savings electric motor car hive off stagger the time response low ebb electricity price regulation and control method.To guide private savings PEV to hive off, stagger the time from main response low ebb Electricity price, reaches to simplify control measures, reduce regulation and control cost and improve cleaner power sources (wind-powered electricity generation), intelligent grid, look load (electronic vapour Car) purpose of system synthesis efficiency.

The technology used in the present invention is as follows: a kind of guide private savings electric motor car hive off stagger the time response low ebb electricity price regulation and control side Method, comprises the following steps:

Step one: utilize the day wind power output information in regional power grid winter, daily load information, in conjunction with the minimum of tracking unit Technology is exerted oneself, with charging regulation and control day for time window unit, statistical work day and weekend abandon wind power information；

Step 2: utilize Trip chain information, the trip of stochastic simulation PEV with charging behavior, with charging regulation and control day for time window Unit, statistical work day and PEV at the weekend natural charging feature information in residential area and cluster charging information on load；

Step 3: utilize the PEV charging feature information abandoning wind power information and step 2 statistics that step one is added up, formulate Having hives off, and stagger the time low ebb electricity price entry-into-force time of response characteristic is interval；

Step 4: the low ebb electricity price entry-into-force time interval scheme of step 3 disperses allotment to the charging in different distribution regions Stake electric energy meter；

Step 5: determine the low ebb charging electricity price of PEV.

The present invention also has a following technical characteristic:

1, step 3 as above has low ebb electricity price entry-into-force time of response characteristic interval formulation of staggering the time of hiving off Method is as follows:

Step 3.1) step one is added up abandon wind-powered electricity generation energy accountingThe time interval contained of period as abandoning wind Period is intervalε is rule of thumb arranged；

Step 3.2) it is CK sub-cluster by N PEV Preliminary division, for ease of preferred below, make CK be respectively equal to 1, 2 ...,For every seed assemblage classification situation, dissolve with maximum and abandon wind-powered electricity generation amount as target, determine each subset PEV quantity in Qun, and the low ebb electricity price entry-into-force time configuring correspondence is interval, forms the low of response of staggering the time of hiving off of a kind of candidate Paddy electricity price scheme；Preferably go out to dissolve from all low ebb electricity price schemes and abandon the scheme that wind-powered electricity generation amount is most.

2, low ebb electricity price entry-into-force time interval scheme is formulated to the N of m-th residential quarter by step 4 as above^m The method of block PEV electric energy meter is as follows:

4.1) N^mBlock electric energy meter is divided into CK^opmGroup, ck group electric energy meter quantity is:

In formula: CK^opmWithIt is respectively optimal subset group's number of determining of step 3 and the ck sub-cluster comprise PEV quantity, N is PEV total quantity, and bracket [] is bracket function；

4.2) the low ebb electricity price entry-into-force time interval of ck sub-cluster is formulated to this group electric energy meter.

3, step 3.2 as above) in time N PEV is divided into CK sub-cluster, each sub-cluster low ebb electricity price comes into force Time intervalAnd the PEV quantity comprised in sub-clusterDetermination method as follows:

Step 3.2.1) set up car owner's rationality response low ebb electricity price cluster charging load model；Car owner's rationality response low ebb Electricity price refers to that they, while enjoying low ebb electricity price to the full, make PEV charge as early as possible.If the probability that PEV gets home at period i last ForAfter the ck sub-cluster rationality response low ebb electricity price, the charging load produced at period j is

Step 3.2.2) the preliminary low ebb electricity price entry-into-force time interval configuring each sub-cluster；The trough-electricity of ck sub-cluster The start periods that the valency entry-into-force time is intervalTerminate the period

Step 3.2.3) utilize day part to abandon the cluster charging load mould of wind power information, car owner's rationality response low ebb electricity price Each sub-cluster low ebb electricity price entry-into-force time of type and preliminary configuration is interval, calculates each sub-cluster PEV quantityCk=1 ... CK； If the PEV quantity that certain sub-cluster asked for comprises is zero, then give up this sub-cluster and the low ebb electricity price tentatively configured for it Entry-into-force time is interval；So, the low ebb electricity price scheme responded of staggering the time of hiving off of a kind of candidate is just generated.

4, step 3.2.1 as above) in total charging load of period j by such as following formula acquisition:

In formula:After being the ck sub-cluster rationality response low ebb electricity price, at the charging load that period j produces, by such as Following formula obtains:

If i. period j existsLeft side, then

If ii. period j existsInside, then

If iii. period j existsRight side, then

In formula: P_cFor bicycle charge power；The probability got home at period i last for PEV；f_i ^wdFill at period i for PEV The probability of electricity；It is PEV under conditions of period i needs charging, the probability of t period of persistently charging；f_i ^wdWithBy step Two obtain；T is maximum charging sustained periods of time number, and it depends on battery capacity and bicycle charge power.

5, step 3.2.3 as above) solving model as follows:

Object function:

EW→max

Constraints:

In formula: EW is the desired value dissolved working day and abandon wind-powered electricity generation energy, and its calculated relationship is as follows:

Wherein,

In formula: D^wdIt it is workaday number of days in winter；It is to produce at period j after N PEV rationality responds low ebb electricity price Charging load；It it is nature charging load；It is that the wind-powered electricity generation increased after car owner's rationality responds low ebb electricity price receives sky Between；EW_j,1It is period j Time, dissolve and abandon wind-powered electricity generation energy desired value；EW_j,2It is period jTime, dissolve and abandon wind-powered electricity generation energy desired value；Owing to Period Length is equal to 0.5h, therefore EW_j,1And EW_j,2's Integral formula all should be multiplied by 0.5.

Beneficial effects of the present invention is as follows:

The time metastatic potential that it is an object of the invention to utilize PEV charging load provides a kind of unidirectional based on wind, net, car The PEV cluster space-time ordering New-type charge regulation and control method of joint mode.

(1) present invention hives off autonomous response mode of staggering the time based on the wind unidirectional joint of net car and PEV, it is not necessary to two-way communication Network and closed loop regulator control system, technology implements difficulty and cost is the most relatively low；

(2) contribute to PEV cluster charging load to work in coordination with the most complementary of low-valley interval surplus wind-powered electricity generation, improve wind electricity digestion " replacing oil by electricity " rate of rate and PEV greenization；

(3) load that can be charged by the PEV cluster of regional power grid is directed to load valley phase, and filling the same period in order Electric load is rationally distributed to different distribution regions, skyrockets on the basis of effect in short-term being prevented effectively from charging load power, can Improve the comprehensive energy efficiency of cleaner power sources (wind-powered electricity generation) intelligent grid green load (electric automobile) system.

Accompanying drawing explanation

Fig. 1 is low ebb electricity price space-time ordering programs schematic diagram；

Fig. 2 is to abandon wind probability with day part at weekend working day；

Fig. 3 is to abandon the distribution of wind power probability with typical period of time at weekend working day；

Fig. 4 be working day with day part at weekend abandon wind-powered electricity generation can account for always abandon wind-powered electricity generation can ratio；

Fig. 5 is working day and day part charging at weekend probability；

Fig. 6 is duration of charge probability distribution on working day；

Fig. 7 is duration of charge probability distribution at weekend；

Fig. 8 is working day and last at weekend is got home time probability distribution；

Fig. 9 be working day the different initial subset group of part divide the cluster charging load curve of situation；

Figure 10 is the cluster charging load curve of part at weekend different sub-cluster division situation；

Figure 11 is that dissolving of situation of difference initial subset division on working day abandons wind-powered electricity generation amount；

Figure 12 be weekend difference initial subset group divide dissolving of situation and abandon wind-powered electricity generation amount.

Detailed description of the invention

Embodiment 1:

A kind of guide private savings electric motor car hive off stagger the time response low ebb electricity price regulation and control method, step is as follows:

Step one: 0:00 to 6:00 next day on the same day is averagely divided into 60 periods, each period 30min, number consecutively It is 1,2 ..., 60；6:00 to 6:00 next day on the same day, corresponding 13rd to the 60th period, it is defined as a charging regulation and control day；Regulation and control Object is private savings PEV；Utilize day in the winter wind power output information of regional power grid, daily load information, in conjunction with the minimum of tracking unit Technology is exerted oneself, with charging regulation and control day for time window unit, statistical work day and weekend abandon wind power information；

The wind probability of abandoning of period i is designated asAbandon the distribution of wind power probability to be designated as Period i abandons Wind-powered electricity generation can account for always abandon wind-powered electricity generation can ratio be designated asI=13 ... 60, wherein,

In formula: subscript wd and we represents working day and weekend；It is under conditions of in the period, i abandons wind, Abandon the probability that wind power is w, w_minIt is that minimum abandons wind power, w_maxIt is that maximum abandons wind power；

Step 2: utilize Trip chain information, the trip of stochastic simulation PEV with charging behavior, with charging regulation and control day for time window Unit, statistical work day and weekend, the PEV natural charging feature information in residential area was charged information on load with cluster；

The charging probability of period i is designated asDuration of charge probability distribution is designated as Cluster charges Load is designated asI=13 ... 60, wherein,

In formula: h_{I, t}Being PEV under conditions of period i needs charging, the probability of t period of persistently charging, T is maximum Charging sustained periods of time number, it depends on battery capacity and bicycle charge power；

Step 3: utilize the PEV charging feature information abandoning wind power information and step 2 statistics that step one is added up, formulate Having hives off, and stagger the time low ebb electricity price entry-into-force time of response characteristic is interval,

Concrete grammar is following (as a example by working day, the formulating method at weekend is similar):

1) utilize what step one added up to abandon wind-powered electricity generation energy accountingInformation, willThe time interval contained of period Interval as abandoning the wind periodε is rule of thumb arranged；

2) it is CK sub-cluster by N PEV Preliminary division, for ease of preferred below, makes CK be respectively equal to 1,2 ...,For every seed assemblage classification situation, dissolve with maximum and abandon wind-powered electricity generation amount as target, determine in each sub-cluster PEV quantity, and the low ebb electricity price entry-into-force time configuring correspondence is interval, forms the low ebb electricity price responded of staggering the time of hiving off of a kind of candidate Scheme；Preferably go out to dissolve from all low ebb electricity price schemes and abandon the scheme that wind-powered electricity generation amount is most；

When N PEV is divided into CK sub-cluster, each sub-cluster low ebb electricity price entry-into-force time is intervalAnd the PEV quantity comprised in sub-clusterCk=1 ... CK, determine as follows:

A) the cluster charging load model of car owner's rationality response low ebb electricity price is set up；

Car owner's rationality response low ebb electricity price refers to that they, while enjoying low ebb electricity price to the full, make PEV charge as early as possible, if The probability that PEV gets home at period i last isAfter the ck sub-cluster rationality response low ebb electricity price, filling that period j produces Electric load isIts computing formula is as follows:

If i. period j existsLeft side, then

If ii. period j existsInside, then

If iii. period j existsRight side, then

In formula (3)-(5): P_cFor bicycle charge power,

After all PEV sub-cluster rationality respond respective low ebb electricity price, at the load that always charges that period j producesFor:

B) the preliminary low ebb electricity price entry-into-force time interval configuring each sub-cluster；

The start periods that the low ebb electricity price entry-into-force time of ck sub-cluster is intervalEventually The only period

C) day part is utilized to abandon wind power information, the cluster charging load model of car owner's rationality response low ebb electricity price and preliminary Each sub-cluster low ebb electricity price entry-into-force time of configuration is interval, builds following Optimized model:

Object function:

EW→max (7)

Constraints:

In formula: EW is the desired value dissolved working day and abandon wind-powered electricity generation energy, and its calculated relationship is as follows:

Wherein,

In formula: D^wdIt it is workaday number of days in winter；It is to produce at period j after N PEV rationality responds low ebb electricity price Charging load；It it is nature charging load；It is that the wind-powered electricity generation increased after car owner's rationality responds low ebb electricity price receives sky Between；EW_j,1It is period j Time, dissolve and abandon wind-powered electricity generation energy desired value；EW_j,2It is period jTime, dissolve and abandon wind-powered electricity generation energy desired value；Owing to the Period Length in the present invention is equal to 0.5h, therefore EW_j,1And EW_j,2Integral formula all should be multiplied by 0.5, this object function is generally not present analytic expression, uses intelligent algorithm to solve；

D) the PEV quantity that each sub-cluster of above-mentioned seismic responses calculated comprises is utilizedCk=1 ... CK；If certain asked for The PEV quantity that individual sub-cluster comprises is zero, then give up this sub-cluster and the low ebb electricity price entry-into-force time district tentatively configured for it Between；So, the low ebb electricity price scheme responded of staggering the time of hiving off of a kind of candidate can just be generated；

Step 4: hiving off of step 3 preferably being gone out staggers the time the low ebb electricity price scheme allotment responded to different distribution regions Charging pile electric energy meter；

If the PEV sub-cluster number that optimal case is corresponding is CK^opm, the PEV number that the ck sub-cluster comprises isN PEV is dispersed in M residential quarter altogether, and the quantity of m-th residential quarter PEV electric energy meter is N^m, then, by low ebb electricity price Scheme allotment to the step of m-th residential quarter is:

1) N^mBlock electric energy meter is divided into CK^opmGroup, ck group electric energy meter quantity is:

In formula: bracket [] is bracket function, ck=1 ..., CK^opm；

2) it is interval that be set: by the low ebb electricity price entry-into-force time of ck group electric energy meter each group of electric energy meter low ebb electricity price entry-into-force time Interval is set to

Electric energy meter to PEV all in M residential quarter, all arranges the low ebb electricity price entry-into-force time by above-mentioned steps interval, The space allotment work of N PEV low ebb electricity price scheme can be completed；

Step 5: determine the low ebb charging electricity price of PEV

For ensureing justice, the present invention uses identical low ebb charging electricity price to each PEV；For guaranteeing car owner's active response, low Paddy electricity price and common charged electrical price differential value should exceed the mental threshold of car owner；This threshold value can be by investigating acquisition in advance.

Embodiment 2:

Below in conjunction with the accompanying drawings, as a example by the north certain regional power grid and China's existing main flow PEV model, the present invention is made into One step explanation.

This regional power grid is mainly powered to 7 big cities.Investigating through reality, 2015, these 7 urban automobile total amounts were 12470000.If simulation private savings PEV scale development is to accounting for the 16% of total vehicle number, be then 2,000,000, i.e. N=2 × 10⁶.Power supply Installation is shown in Table 1, and all types of PEV ratios and canonical parameter are shown in Table 2.Car owner's SOC mental threshold and ratio are shown in Table 3.

Step one: randomly draw this electrical network day in winter wind power output data, daily load data, in conjunction with the minimum of tracking unit Technology is exerted oneself, and statistical work day abandons wind power information with weekend (charging regulation and control day) day part.

Table 1 electric network source installation situation

The most domestic four class main flow electronic vehicle ratio and the canonical parameters of table 2

Car owner's SOC mental threshold of table 3 different charging custom and ratio

Working day abandons wind probability as shown in Figure 2 with weekend (referring both to charging regulation and control day) day part；Typical period of time (period 54, Next day 2:30-3:00) abandon wind power probability be distributed as shown in Figure 3；Day part abandon wind-powered electricity generation can account for always abandon wind-powered electricity generation can ratio such as Shown in Fig. 4.From Fig. 2 and Fig. 4, abandon wind and occur mainly in night load low ebb period, owing to load valley phase load first subtracts Increase after Shao so that wind electricity digestion space is first reduced and increased afterwards, so the abandoning wind probability and abandon wind-powered electricity generation and can account for of load valley period Than the trend presenting first increases and then decreases；The present embodiment can account for, by abandoning wind-powered electricity generation, the period composition always abandoning wind-powered electricity generation energy ratio more than 0.01 Time interval as abandoning wind time interval, to be [47,60] (right for the wind time interval of abandoning at working day and weekend as shown in Figure 4 Should next day day 23:00-6:00, totally 14 scheduling slots).

Step 2: calculate all types of PEV quantity by table 2, and calculate the PEV of all types of each charging custom further by table 3 Quantity；The trip data using Traffic In Beijing centre of development builds Trip chain database, goes out all types of each charging custom PEV Row and charging behavior carry out Monte Carlo simulation.PEV each parked time, if current battery electric quantity electricity required with trip next time The difference of amount is less than the mental threshold (battery capacity and the product of car owner's SOC mental threshold) of car owner, then this PEV can be parked at this Period charges.

Day part charging probability is shown in Fig. 5.Monte Carlo simulation shows, the duration of charge probability distribution of major part period Otherness is little, and the duration of charge probability distribution of 6:30-16:00 with 16:00-3:00 next day is merged by the present embodiment respectively Statistics, result is shown in Fig. 6 and Fig. 7.

Step 3: the low ebb electricity price entry-into-force time of 2,000,000 PEV of allotment is interval.

Use the Optimized model of PSO Algorithm (7)-(10), calculate initial subset group's number and be respectively 1,2 ... 14 Time, PEV number that each sub-cluster comprises, low ebb electricity price entry-into-force time interval with dissolve abandon wind-powered electricity generation amount.It is formed as described above 14 The low ebb electricity price scheme of individual candidate, the most preferably dissolves and abandons the scheme that wind-powered electricity generation amount is most.Wherein, rationality response low ebb electricity price is calculated Cluster charging load needed for PEV last Annual distribution of getting home see Fig. 8.When initial subset group's number is respectively 1,3,5,7,9, work The cluster charging load curve making day and weekend is shown in Fig. 9 and Figure 10.Initial subset group's number is respectively 1,2 ... that dissolves when 14 abandons wind Electricity is shown in Figure 11 and Figure 12.

Along with increasing of initial subset group's number, the cluster charging load power upstroke slope in the load valley phase gradually becomes Slow, charging power load distributing disperses further, and this makes to dissolve, and to abandon wind-powered electricity generation amount be first increases and then decreases trend.Working day and weekend When PEV sub-cluster number is 7, dissolves and abandon wind-powered electricity generation amount maximum, respectively 460GW.h and 194GW.h.Working day and the low ebb at weekend Electricity price time scheme is as shown in table 4.As shown in Table 4, the 2nd sub-cluster PEV number with weekend on weekdays is zero, the 4th son Cluster PEV number on weekdays is zero.

PEV quantity and the low ebb electricity price entry-into-force time of correspondence that table 4 sub-cluster comprises are interval

Step 4: disperse to be formulated on the electric energy meter of car owner's charging pile by the low ebb electricity price entry-into-force time interval scheme of table 4. Assume in 23000 residential quarters that these 2,000,000 PEV are dispersed in different distribution region.To comprise certain of 90 pieces of PEV ammeters As a example by residential quarter, illustrate the space concocting method of low ebb electricity price entry-into-force time interval scheme.

1) the PEV electric energy meter of this community is divided into 7 groups, and calculates the quantity of each group of electric energy meter by formula (11), the results are shown in Table 5；

2) the low ebb electricity price entry-into-force time interval of this every piece, community PEV electric energy meter is set by table 5 scheme.

The low ebb electricity price entry-into-force time arranging each residential quarter PEV electric energy meter as stated above is interval, can complete table 4 The space allotment work of shown low ebb electricity price entry-into-force time scheme.

Step 5: determine the low ebb charging electricity price of PEV.For ensureing justice, tackle each PEV and use identical low ebb charged electrical Valency；For guaranteeing car owner's active response, low ebb electricity price and common charged electrical price differential value should exceed the mental threshold of car owner；This threshold value Can be by investigating acquisition in advance.The PEV low ebb electricity price determined is arranged on the PEV electric energy meter of each community.

Embodiment 3:

Energy-saving and emission-reduction performance analysis

After the regional power grid of embodiment 1 carries out PEV cluster space-time ordering regulation and control, car owner can be autonomous (nearby) on the spot The low ebb electricity price scheme of rationality response community, place PEV electric energy meter prompting.Under this regulation and control model, can dissolve more every year and abandon wind-powered electricity generation Energy 654GW.h, saves coal 215820t (the average net coal consumption rate of thermoelectricity of this electrical network is 330g/kW.h).By 1t mark coal discharge 2.66t carbon dioxide calculates, and the whole year can reducing emission of carbon dioxide 574081t.The blowdown situation of this electrical network Thermal Power Enterprises is shown in Table 6.Press The blowdown result of table 6, the orderly charging scheme implementing the present invention reduces 34870t flue dust, 964t SO every year₂；In line mode, low Nitrogen burning and low nitrogen burning add can reduce 578t, 410t, 276t nitrogen oxides under out of stock three kinds of modes respectively.

The PEV low ebb electricity price entry-into-force time interval scheme of certain residential quarter of table 5

The blowdown result of this electrical network Thermal Power Enterprises of table 6

Note: 1 in line mode；2 low nitrogen burning modes；3 low nitrogen burnings add out of stock mode.

Claims (6)

1. one kind guide private savings electric motor car hive off stagger the time response low ebb electricity price regulation and control method, it is characterised in that include following step Rapid:

Step one: utilize the day wind power output information in regional power grid winter, daily load information, in conjunction with the minimum technology of tracking unit Exert oneself, with charging regulation and control day for time window unit, statistical work day and weekend abandon wind power information；

Step 2: utilize Trip chain information, the trip of stochastic simulation PEV with charging behavior, with charging regulation and control day for time window unit, Statistical work day and PEV at the weekend natural charging feature information in residential area and cluster charging information on load；

Step 3: utilizing the PEV charging feature information abandoning wind power information and step 2 statistics that step one is added up, formulation has Hive off stagger the time low ebb electricity price entry-into-force time of response characteristic is interval；

Step 4: the low ebb electricity price entry-into-force time interval scheme of step 3 disperses allotment to the charging pile electricity in different distribution regions Can table；

Step 5: determine the low ebb charging electricity price of PEV.

The most according to claim 1 a kind of guide private savings electric motor car hive off stagger the time response low ebb electricity price regulation and control method, its Being characterised by, having in step 3 hives off, and low ebb electricity price entry-into-force time of response characteristic interval formulating method of staggering the time is as follows:

Step 3.1) step one is added up abandon wind-powered electricity generation energy accountingThe time interval contained of period as Qi Feng period district Betweenε is rule of thumb arranged；

Step 3.2) it is CK sub-cluster by N PEV Preliminary division, for ease of preferred below, make CK respectively equal toFor every seed assemblage classification situation, dissolve with maximum and abandon wind-powered electricity generation amount as target, determine each PEV quantity in sub-cluster, and the low ebb electricity price entry-into-force time configuring correspondence is interval, forms the response of staggering the time of hiving off of a kind of candidate Low ebb electricity price scheme；Preferably go out to dissolve from all low ebb electricity price schemes and abandon the scheme that wind-powered electricity generation amount is most.

The most according to claim 1 a kind of guide private savings electric motor car hive off stagger the time response low ebb electricity price regulation and control method, its It is characterised by, low ebb electricity price entry-into-force time interval scheme is formulated to the N of m-th residential quarter by step 4^mBlock PEV electric energy meter Method as follows:

4.1) N^mBlock electric energy meter is divided into CK^opmGroup, ck group electric energy meter quantity is:

$N_{ck}^m=\[N^m\frac{N_{ck}^{wd-opm}}{N}\]$

In formula: CK^opmWithIt is respectively optimal subset group's number of determining of step 3 and PEV number that the ck sub-cluster comprises Amount, N is PEV total quantity, and bracket [] is bracket function；

4.2) the low ebb electricity price entry-into-force time interval of ck sub-cluster is formulated to this group electric energy meter.

The most according to claim 2 a kind of guide private savings electric motor car hive off stagger the time response low ebb electricity price regulation and control method, its Be characterised by, step 3.2) in time N PEV is divided into CK sub-cluster, interval of each sub-cluster low ebb electricity price entry-into-force timeAnd the PEV quantity comprised in sub-clusterDetermination method as follows:

Step 3.2.1) set up car owner's rationality response low ebb electricity price cluster charging load model；Car owner's rationality response low ebb electricity price Refer to that they, while enjoying low ebb electricity price to the full, make PEV charge as early as possible；If the probability that PEV gets home at period i last isAfter the ck sub-cluster rationality response low ebb electricity price, the charging load produced at period j is

Step 3.2.2) the preliminary low ebb electricity price entry-into-force time interval configuring each sub-cluster；The low ebb electricity price of ck sub-cluster is raw The start periods of effect time intervalTerminate the period

Step 3.2.3) utilize day part abandon wind power information, car owner's rationality response low ebb electricity price cluster charging load model and Each sub-cluster low ebb electricity price entry-into-force time of preliminary configuration is interval, calculates each sub-cluster PEV quantityCk=1 ... CK；If asking The PEV quantity that certain sub-cluster taken comprises is zero, then give up this sub-cluster and come into force for its low ebb electricity price tentatively configured Time interval；So, the low ebb electricity price scheme responded of staggering the time of hiving off of a kind of candidate is just generated.

The most according to claim 4 a kind of guide private savings electric motor car hive off stagger the time response low ebb electricity price regulation and control method, its Be characterised by, step 3.2.1) in total charging load of period j by such as following formula acquisition:

$P_j^{wd}=\underset{ck=1}{\overset{CK}{\Σ}}{P}_j^{ck,wd}$

In formula:After being the ck sub-cluster rationality response low ebb electricity price, at the charging load that period j produces, obtain by such as following formula Take:

If i. period j existsLeft side, then

$P_j^{ck,wd}=P_c\underset{i=13}{\overset{j}{\Σ}}{N}_{ck}^{wd}{g}_i^{wd}{f}_i^{wd}\underset{t=T_{vpe}^{ck,wd}-j+1}{\overset{T}{\Σ}}{h}_{i,t}^{wd}$

If ii. period j existsInside, then

$P_j^{ck,wd}=P_c\underset{i=13}{\overset{t_{vpb}^{ck,wd}}{\mathrm{\Σ}}}{N}_{ck}^{wd}{g}_i^{wd}{f}_i^{wd}\underset{t=j-t_{vpb}^{ck,wd}+1}{\overset{T}{\mathrm{\Σ}}}{h}_{i,t}^{wd}+P_c\underset{i=t_{vpb}^{ck,wd}+1}{\overset{j}{\mathrm{\Σ}}}{N}_{ck}^{wd}{g}_i^{wd}{f}_i^{wd}\underset{t=j-i+1}{\overset{T}{\mathrm{\Σ}}}{h}_{i,t}^{wd}$

If iii. period j existsRight side, then

$P_j^{ck,wd}=P_c\underset{i=13}{\overset{j}{\Σ}}{N}_{ck}^{wd}{g}_i^{wd}{f}_i^{wd}\underset{t=j-i+1}{\overset{T}{\Σ}}{h}_{i,t}^{wd}$

In formula: P_cFor bicycle charge power；The probability got home at period i last for PEV；f_i ^wdCharge at period i for PEV Probability；It is PEV under conditions of period i needs charging, the probability of t period of persistently charging；f_i ^wdWithObtained by step 2 Take；T is maximum charging sustained periods of time number, and it depends on battery capacity and bicycle charge power.

The most according to claim 4 a kind of guide private savings electric motor car hive off stagger the time response low ebb electricity price regulation and control method, its Be characterised by, step 3.2.3) solving model as follows:

Object function:

EW→max

Constraints:

$\underset{ck=1}{\overset{CK}{\Σ}}{N}_{ck}^{wd}=N$

$0\&le;N_{ck}^{wd}<N$

In formula: EW is the desired value dissolved working day and abandon wind-powered electricity generation energy, and its calculated relationship is as follows:

$EW=D^{wd}\underset{j=T_{cwb}^{wd}}{\overset{T_{cwe}^{wd}}{\&Sigma;}}({\mathrm{EW}}_{j,1}+{\mathrm{EW}}_{j,2})$

Wherein,

$\left\{\begin{array}{c}{\mathrm{EW}}_{j,1}=0.5\left\{{\mathrm{\&alpha;}}_j^{wd}{\&Integral;}_{w_{\min }}^{P_j^{wd}-P_{j,0}^{wd}}{\mathrm{w\&beta;}}_{j,w}^{wd}dw\right\}\\ {\mathrm{EW}}_{j,2}=0.5\left\{{\mathrm{\&alpha;}}_j^{wd}{\&Integral;}_{P_j^{wd}-P_{j,0}^{wd}}^{w_{\max }}(P_j^{wd}-P_{j,0}^{wd}){\mathrm{\&beta;}}_{j,w}^{wd}dw\right\}\end{array}\right.$

In formula: D^wdIt it is workaday number of days in winter；It it is the charging produced at period j after N PEV rationality responds low ebb electricity price Load；It it is nature charging load；It is that the wind-powered electricity generation increased after car owner's rationality responds low ebb electricity price receives space； EW_j,1It is period j Time, dissolve and abandon wind-powered electricity generation energy desired value；EW_j,2It is period jTime, dissolve and abandon wind-powered electricity generation energy desired value；Owing to Period Length is equal to 0.5h, therefore EW_j,1And EW_j,2's Integral formula all should be multiplied by 0.5.