CN109606198A - Consider the probabilistic intelligent distribution network electric car charging method of user behavior - Google Patents
Consider the probabilistic intelligent distribution network electric car charging method of user behavior Download PDFInfo
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Abstract
It is a kind of to consider the probabilistic intelligent distribution network electric car charging method of user behavior: to initialize total electric energy needed for electric car according to the input data and be connected to the electric car quantity of power grid in each period, calculate separately the total charge requirement of electric car at the beginning of each period；Judge whether total electric energy needed for subsequent time period electric car is equal to the total charge requirement of start time electric car；Current point in time is judged whether in the set at all time points, not in the utility function for then calculating the fluctuation of load in next 24 hours；If electric car is connected to power grid in time t, enabling decision function is 1；Otherwise decision function is zero；And determine i-th electric car in the value of the electricity of t moment remaining battery；The charging strategy of i-th electric car is calculated, and updates the residual capacity of batteries of electric automobile.The present invention actively can reduce the access of electric car in the electricity consumption of resident higher period automatically, disperse the power demand of peak of power consumption.
Description
Technical field
The present invention relates to a kind of electric car charging methods.More particularly to a kind of probabilistic intelligence of consideration user behavior
It can power distribution network electric car charging method.
Background technique
In recent years, with the fast development of science and technology, by flexible, safe and clean feature, smart grid is obtained
It is more commonly used.There are many information islands for traditional power grid, lack certain information share, the intelligence of entire power grid
Change relatively low, when there is electric network fault, a large amount of manpower and material resources is needed just to can determine that fault zone.And smart grid can
The features such as using the observability of smart grid, intelligence, adaptivity, controllability and automatically analyzing passes through certain skill
Art means obtain the comprehensive utilization that the energy is improved than more complete information in time.
The development of smart grid is still in infancy in the whole world, and technology is broadly divided into four fields: advanced intelligence
Can power grid measurement system, advanced match electricity operation, advanced transmission operation and advanced asset management.Advanced measurement system main function
It is to license to user, sets up system with load and contact, allows users to the operation for supporting power grid；It is advanced to match electricity operation core
The heart is online Real-time Decision commander, and target is Collapse Prevention, realizes the prevention of large area cascading failure；Advanced transmission operation master
Act on is to emphasize congestion management and the risk that reduction is stopped transport on a large scale；Advanced asset management is to install largely may be used in systems
To provide the advanced sensors of system parameter and equipment stable operation situation, and collected real time information and resource pipe
The process integration such as reason, simulation and emulation, improve the operation and efficiency of power grid.
Electric car (Electric Vehicle EV) technology is that current countries in the world promote clean energy resource consumption, green
One of most important means of traffic.
In recent years, EV was widely used because having numerous benefits such as energy-saving and emission-reduction, and countries in the world are all confused
It is confused that EV technical research and market competition is added.Vehicle to electric power network technique (Vehicle-to-GridV2G) be one in EV technology
Important application.By V2G, EV can provide electric energy and other items supplement services for smart grid.By the charge and discharge for optimizing EV
Electric strategy, smart grid can preferably realize peak load shifting, a series of targets such as frequency management.The world today is for EV's
There are three system, this day this system, American-European system and Chinese systems for rechargeable standard.Its difference mainly charging interface shape with
And on communication mode.Each system charging modes are had nothing in common with each other, and networking and the incomplete problem of control program are generally existing.
Currently, the charging strategy research that EV participates in electricity market is mainly unfolded in terms of grid side and user side two.Needle
It is such to grind through investigation we have found that charging strategy is the charging strategy based on theoretical calculation and parameter Estimation to user side
Study carefully theoretical property by force and cannot but reflect completely in charging behavior logicality.Through summarizing, it has been found that restrict resident's platform area and (match
Piezoelectric transformer following region) critical bottleneck of interior electrically-charging equipment development is platform area distribution capacity problem, behind is even more power transmission and distribution
Channel capacity plans insufficient problem.
Summary of the invention
It can sufficiently meet loading demand the technical problem to be solved by the invention is to provide one kind and have and preferably use
The considerations of family the is experienced probabilistic intelligent distribution network electric car charging method of user behavior.
The technical scheme adopted by the invention is that: a kind of probabilistic intelligent distribution network electric car of consideration user behavior
Charging method includes the following steps:
1) total electric energy needed for electric car is initialized according to the input data and is connected to power grid in each period
Electric car quantity Ncar(t), the total charge requirement of electric car at the beginning of each period is then calculated separately
Pini；
2) judge total electric energy P needed for subsequent time period electric carEV(t) whether it is equal to that start time electric car is total to be filled
Electricity demanding PiniIf equal, terminate, if unequal, enters next step；
3) current point in time is judged whether in the set T at all time points, if it was not then calculating in next 24 hours
The utility function of the fluctuation of load, if the utility function of the fluctuation of load is less than or equal to the effect of the fluctuation of load in current 24 hours
With function, then return step 1 is returned to) the total charge requirement P of electric car at the beginning of current slot is calculated againini,
Otherwise, it enables the utility function of the fluctuation of load in next 24 hours be equal to the utility function of the fluctuation of load in current 24 hours, returns to
Step 2) is determined again；If current point in time in the set T at all time points, enters next step；
4) if electric car is connected to power grid in time t, decision function X is enablediIt (t) is 1；Otherwise decision function Xi(t)
It is zero；And determine i-th electric car in the electricity SOC of t moment remaining batteryiniThe value of (i, t), if Xi(t)=1 and
SOCini(i, t) < 1 then enters next step and otherwise enables t=t+1, return step 3)；
5) charging strategy of i-th electric car is calculated, and updates the residual capacity SOC of batteries of electric automobileini(i, t),
Enable t=t+1, return step 3) determined again.
Total electric energy P needed for subsequent time period electric car described in step 2)EV(t) obtained by following formula:
Wherein, SOCexp(i, t) indicates the electricity that i-th electric car needs；SOCini(i, t) indicates i-th electronic vapour
Electricity of the vehicle in t moment remaining battery；I is electric car total quantity；EViFor i-th electric car.
Described in step 3) in 24 hours the fluctuation of load utility function PPFLCalculation formula is as follows:
In formula,Indicate the corresponding residential block maximum load value of maximum load time of occurrence；Indicate the corresponding residential block minimum load value of minimum load time of occurrence；T indicates the set at all time points；
Ptotal(t) it is the total load of residential block, is obtained by following formula:
Ptotal(t)=Phome(t)+PEV(t),t∈T
In formula, PhomeIt (t) is the total load of house in residential block.
The charging strategy of i-th electric car described in step 5) includes: total electric energy P needed for electric carEV(t), 24 is small
When the interior fluctuation of load utility function PPFLWith the total load P of residential blocktotal(t)。
The probabilistic intelligent distribution network electric car charging method of consideration user behavior of the invention, can occupy automatically
The civilian electricity higher period actively reduces the access of electric car.Peak of power consumption is dispersed while peak load shifting
Power demand.By modeling carry out simulation analysis obtain the present invention has the advantage that
1, after having recycled algorithm proposed in this paper, utility function PPFLThere is biggish decline compared to traditional algorithm.
2, the smallest position of electricity consumption on a timeline, by increasing the access of EV, method proposed in this paper is calculated than tradition
Method achieves better valley-fill effect.
3, the maximum position of electricity consumption, method proposed in this paper connect without stopping electric car completely on a timeline
Enter, has ensured certain electric car intervention rigid demand, improved user experience.
Detailed description of the invention
Fig. 1 is the flow chart that the present invention considers the probabilistic intelligent distribution network electric car charging method of user behavior；
Fig. 2 is the electricity consumption consumption models that EV optimization charging strategy residential neighborhoods are not used in the present invention；
Fig. 3 is the electricity consumption consumption models of residential neighborhoods when tradition EV optimizes charging strategy in the present invention；
Fig. 4 is the electricity consumption consumption models of new E V charging strategy optimization method in the present invention.
Specific embodiment
Below with reference to embodiment and attached drawing to the probabilistic intelligent power distribution of consideration user behavior of the invention of the invention
Net electric car charging method is described in detail.
As shown in Figure 1, the probabilistic intelligent distribution network electric car charging method of consideration user behavior of the invention, packet
Include following steps:
1) total electric energy needed for electric car is initialized according to the input data and is connected to power grid in each period
Electric car (EV) quantity Ncar(t), then calculating separately the total charging of electric car at the beginning of each period needs
Seek Pini；
2) judge total electric energy P needed for subsequent time period electric carEV(t) whether it is equal to that start time electric car is total to be filled
Electricity demanding PiniIf equal, terminate, if unequal, enters next step；
Total electric energy P needed for the subsequent time period electric carEV(t) obtained by following formula:
Wherein, SOCexp(i, t) indicates the electricity that i-th electric car needs；SOCini(i, t) indicates i-th electronic vapour
Electricity of the vehicle in t moment remaining battery；I is electric car total quantity；EViFor i-th electric car.
3) current point in time is judged whether in the set T at all time points, if it was not then calculating in next 24 hours
The utility function of the fluctuation of load, if the utility function of the fluctuation of load is less than or equal to the effect of the fluctuation of load in current 24 hours
With function, then return step 1 is returned to) the total charge requirement P of electric car at the beginning of current slot is calculated againini,
Otherwise, it enables the utility function of the fluctuation of load in next 24 hours be equal to the utility function of the fluctuation of load in current 24 hours, returns to
Step 2) is determined again；If current point in time in the set T at all time points, enters next step；
The utility function P of the fluctuation of load in described 24 hoursPFLCalculation formula is as follows:
In formula,Indicate the corresponding residential block maximum load value of maximum load time of occurrence；Indicate the corresponding residential block minimum load value of minimum load time of occurrence；T indicates the set at all time points；
Ptotal(t) it is the total load of residential block, is obtained by following formula:
Ptotal(t)=Phome(t)+PEV(t),t∈T
In formula, PhomeIt (t) is the total load of house in residential block.
The present invention accelerates convergence speed of the algorithm using the method for measuring log to statistics herein.Meanwhile this method can also
Improve the stability of algorithm.
4) if electric car is connected to power grid in time t, decision function X is enablediIt (t) is 1；Otherwise decision function Xi(t)
It is zero；And determine i-th electric car in the electricity SOC of t moment remaining batteryiniThe value of (i, t), if Xi(t)=1 and
SOCini(i, t) < 1 then enters next step and otherwise enables t=t+1, return step 3)；
5) charging strategy of i-th electric car is calculated, and updates the residual capacity SOC of batteries of electric automobileini(i, t),
Enable t=t+1, return step 3) determined again.The charging strategy of i-th electric car includes: electric car institute
Need total electric energy PEV(t), in 24 hours the fluctuation of load utility function PPFLWith the total load P of residential blocktotal(t)。
Fig. 2 and Fig. 3 compares the resident in application tradition EV optimization charging strategy and no optimization charging strategy using EV
The electricity consumption consumption models of residential quarter.Present invention utilizes available datas in simulation process.Dotted line illustrates in figure 2 and figure 3
The aggregate demand of residential quarter electricity consumption.From Fig. 2 we can see that in the case where no EV optimizes charging strategy, there are two
Period electricity consumption demand has been more than the bearing capacity of power grid.The peak value of power demand is 329.5KVA than power grid institute energy simultaneously
The peak-peak P of carryingmaxIt is high by 31.8%.Simultaneously it was noted that power demand is 58.5KVA when 5:00.It can be seen that unexcellent
The access of EV can be such that the fluctuation of residential neighborhoods power demand becomes apparent from the case where change charging strategy.The present invention calculates simultaneously
Corresponding PPFL=0.56.And in the case where applying traditional charging strategy in Fig. 3.Power demand does not exceed integrally
The bearing capacity of power grid, and PPFL=0.20.However conventional method do not consider to user charge behavior modeling because
There are also further improved spaces for this.
Fig. 4 is demonstrated by EV charging strategy optimization method proposed by the invention and without using residence when EV optimization charging strategy
The electricity consumption consumption models of people residential quarter.By calculating we have found that P in this casePFL=0.20, it is mentioned better than Fig. 2 and Fig. 3
Method out.On the one hand, the efficiency of inventive algorithm is for reducing PPFLIt is made that contribution.
And another major reason is PPFLThe log function of middle appearance has significantly equalized EV charging strategy and has connect
Distribution on angle of incidence point.Simultaneously we have found that method of the invention is actively reduced in the electricity consumption of resident higher period automatically
The access of EV.The power demand of peak of power consumption is dispersed while peak load shifting.Method proposed by the present invention in summary
Without stopping the access of EV completely, is ensureing certain EV intervention rigid demand, improving user experience.
Claims (4)
1. a kind of probabilistic intelligent distribution network electric car charging method of consideration user behavior, which is characterized in that including such as
Lower step:
1) total electric energy needed for electric car is initialized according to the input data and the electricity of power grid is connected in each period
Electrical automobile quantity Ncar(t), the total charge requirement P of electric car at the beginning of each period is then calculated separatelyini；
2) judge total electric energy P needed for subsequent time period electric carEV(t) whether being equal to the total charging of start time electric car needs
Seek PiniIf equal, terminate, if unequal, enters next step；
3) judge that current point in time whether in the set T at all time points, loads in next 24 hours if it was not then calculating
The utility function of fluctuation, if the utility function of the fluctuation of load is less than or equal to the effectiveness letter of the fluctuation of load in current 24 hours
Number, then return to return step 1) the total charge requirement P of electric car at the beginning of current slot is calculated againini, otherwise,
It enables the utility function of the fluctuation of load in next 24 hours be equal to the utility function of the fluctuation of load in current 24 hours, returns to step 2)
Determined again；If current point in time in the set T at all time points, enters next step；
4) if electric car is connected to power grid in time t, decision function X is enablediIt (t) is 1；Otherwise decision function Xi(t) it is
Zero；And determine i-th electric car in the electricity SOC of t moment remaining batteryiniThe value of (i, t), if Xi(t)=1 and
SOCini(i, t) < 1 then enters next step and otherwise enables t=t+1, return step 3)；
5) charging strategy of i-th electric car is calculated, and updates the residual capacity SOC of batteries of electric automobileini(i, t) enables t
=t+1, return step 3) determined again.
2. the probabilistic intelligent distribution network electric car charging method of consideration user behavior according to claim 1,
It is characterized in that, total electric energy P needed for subsequent time period electric car described in step 2)EV(t) obtained by following formula:
Function
Wherein, SOCexp(i, t) indicates the electricity that i-th electric car needs；SOCini(i, t) indicates i-th electric car in t
The electricity of moment remaining battery；I is electric car total quantity；EViFor i-th electric car.
3. the probabilistic intelligent distribution network electric car charging method of consideration user behavior according to claim 1,
Be characterized in that, described in step 3) in 24 hours the fluctuation of load utility function PPFLCalculation formula is as follows:
In formula,Indicate the corresponding residential block maximum load value of maximum load time of occurrence；Table
Show the corresponding residential block minimum load value of minimum load time of occurrence；T indicates the set at all time points；PtotalIt (t) is resident
The total load in area, is obtained by following formula:
Ptotal(t)=Phome(t)+PEV(t),t∈T
In formula, PhomeIt (t) is the total load of house in residential block.
4. the probabilistic intelligent distribution network electric car charging method of consideration user behavior according to claim 1,
It is characterized in that, the charging strategy of i-th electric car described in step 5) includes: total electric energy P needed for electric carEV(t), 24 is small
When the interior fluctuation of load utility function PPFLWith the total load P of residential blocktotal(t)。
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