CN104484808B - Electric automobile participates in the Optimization Scheduling of power system - Google Patents
Electric automobile participates in the Optimization Scheduling of power system Download PDFInfo
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- CN104484808B CN104484808B CN201410745016.5A CN201410745016A CN104484808B CN 104484808 B CN104484808 B CN 104484808B CN 201410745016 A CN201410745016 A CN 201410745016A CN 104484808 B CN104484808 B CN 104484808B
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/10—Internal combustion engine [ICE] based vehicles
- Y02T10/40—Engine management systems
Abstract
The invention discloses the Optimization Scheduling that a kind of electric automobile participates in power system, comprise the following steps：First, establish meter and electric automobile agent participates in the mathematical modeling and the agential charge requirement model of electric automobile of system optimization scheduling；The estimation that system optimization is scheduling to the income that Utilities Electric Co. brings and the loss that electric automobile agency can suffer from is participated in electric automobile respectively according to electric automobile agent and Utilities Electric Co., respectively firm offer and constantly adjustment is corrected, until reaching an agreement.The present invention Optimization Scheduling can mitigation system load peak-valley difference, reduce system operation cost, electric automobile agent and electric power system dispatching can obtain income, reach the purpose of doulbe-sides' victory.
Description
Technical field
The present invention relates to the Optimization Scheduling that a kind of meter and electric automobile participate in power system, belong to electric automobile and electricity
The interaction technique field of Force system scheduling.
Background technology
A series of global problems such as fossil energy crisis, climate warming promote power system to low emission, low energy consumption
Direction is developed.It is renewable by being phased out highly energy-consuming unit and development wind-power electricity generation, solar energy power generating etc. in Generation Side
The energy reduces carbon emission, and the recycling etc. to improve efficiency of energy utilization of energy is realized using cogeneration of heat and power.In load side,
Improve efficiency by introducing the concepts such as smart home, intelligent load；Wherein, electric automobile (Electric
Vehicle, it is abbreviated as EV) as the new automobile for substituting conventional fossil fuel automobile, have in terms of energy-saving and emission-reduction obvious excellent
Gesture.In addition, EV has more flexible scheduling performance, can participate in power system optimal dispatch, improve the economy of system operation
Property.Under above-mentioned background, the present invention participates in power system Optimal Scheduling a few days ago, research EV agencies for EV by agent
Business and the negotiation strategies of Utilities Electric Co..
The content of the invention
The technical problems to be solved by the invention, it is the agent on the premise of automobile user charge requirement is met
Dispatch the optimization that electric automobile load participates in electric power system dispatching, mechanisms for negotiation and negotiation strategies with electric power system dispatching.
A kind of electric automobile of the present invention participates in the Optimization Scheduling of power system, comprises the following steps：
(1) EV agent's initial bid is determined
EV agent formulates EV charging plans according to EV charge models, as original planReport power scheduling
Center, while declare the EV load limits that agent can participate in dispatchingWithAfter ensureing to dispatch
The charge protocol of different EV users still can be met, and EV agent need to keep not in total purchase of electricity of all scheduling slots
Become, be constrained to formula (1):
With reference to (1), charging load total amount that EV agent decreases or increases within the T1 periods is equal to be increased within the T2 periods
Or the charging load total amount of reduction,If Utilities Electric Co. and the agential negotiation prices of EV are that unit adjusts electricity
Price, EV agent a income REVA(a) difference of extra operating cost caused by the income obtained for negotiation and participation scheduling,
I.e.:
In formula:λbid(a) quotation for being agent a, λS(t) it is quotation of the Utilities Electric Co. in the t periods；
Assuming that the desired minimum incomes of EV agent a and the unit quantity of electricity adjustment price point corresponding to desired top gain
Wei not λbid,minAnd λ (a)bid,max(a)；Wherein, λbid,min(a) volume for the thread EV charge capacities estimated for EV agent
Outer cost and desired minimum yield sum, λbid,max(a) the participation system call estimated with EV agent to system operation into
The contribution of this reduction it is expected that the effectiveness of acquisition is relevant with EV agent, can be calculated by formula (3)：
In formula:WithTotal the reduction operating cost and system of respectively EV agent a estimations need in the t periods
The adjustment electricity wanted；γex(a) total coefficient for reducing operating cost is accounted for for the EV agent a effectiveness for it is expected to obtain；
EV agent a can select highest quotation λ when offering first timebid,max(a)；If fail to reach one with Utilities Electric Co.
Cause, then negotiation quotation is gradually reduced, until reaching an agreement or reaching lowest bid λ with Utilities Electric Co.bid,min(a) untill；Using
Linear bidding strategy, it is assumed that it is K to negotiate maximum roundsmax, negotiation bids of the EV agent a in kth wheelFor:
(2) Utilities Electric Co. determines initial bid
Utilities Electric Co. according toWithObtain the desired load scheduling amount of day partWith it is logical
Cross scheduling EV loads can reduction system operation cost Δ CG, whereinIt can be calculated by formula (5)：
By calculating Δ CGWithUtilities Electric Co. can charge load in the hope of scheduling EV can obtainable maximum utility
With the maximum λ of the load total amount of scheduling, then Utilities Electric Co.'s quotationSbid,maxWith minimum value λSbid,minCan respectively by formula (6) and
(7) obtain：
In formula:π max and π min be respectively Utilities Electric Co. it is expected obtain minimum and maximum effectiveness account for can always reduce operation into
This coefficient；
Utilities Electric Co. can declare minimum price λ when offering first timeSbid,min；If fail to reach one with EV agent
Cause, or the EV chargings load adjustment amount that the EV agent to reach an agreement in the t periods is provided does not reach alsoUtilities Electric Co.
Negotiation quotation can be gradually stepped up, until reaching highest quotation λSbid,maxOr the adjustment that the EV agent to have reached an agreement is provided is born
Lotus amount meetsDemand；Using linear bidding strategy, bid in the negotiation of kth wheelFor:
(3) quotation adjustment amendment
In negotiation process, EV agent a can according to the offer curve of estimation and the difference of Utilities Electric Co.'s actual price,
Correct the prediction to Utilities Electric Co.'s dispatching requirement and income：
In formula:WithQuotation, the estimation of Utilities Electric Co.'s kth wheel of respectively agent a estimations
Utilities Electric Co. it is expected obtain minimum and maximum effectiveness account for the coefficient that can always reduce operating cost；
When desired value of the actual price of Utilities Electric Co.'s kth wheel higher than EV agent a, show that EV agent underestimates EV and filled
Electric load dispatches the total utility to Utilities Electric Co., then agent can contemplate the concession amplitude for reducing quotation, and vice versa；This
Outside, agent a can also be appropriate when quotation difference is larger according to the quotation difference adjustment concession tactics of agent and Utilities Electric Co.
Concession amplitude is improved, vice versa；The price declared with reference to EV agent a in kth wheelWith formula (4), EV agent a exists
Negotiation quotation after the wheel adjustment of kth+1It can be obtained according to formula (10)-(12)；
In formula:ε1(a, k) and ε2(a, k) is respectively that EV agent is expected to offer to the quotation of kLun Utilities Electric Co.s with agent
The regulation coefficient of deviation and the quotation of kLun Utilities Electric Co.s with acting on behalf of the regulation coefficient of Bidding difference, respectively can by (11) and
(12) it is calculated；
Utilities Electric Co. also can adjust the quotation strategy of itself according to the agential quotations of each EV；In view of multiple EV agents
Competitive relation, the minimum agent that offers can reach an agreement with Utilities Electric Co. earliest, and concluded price and Utilities Electric Co. are adjusted
The influence of quotation strategy is maximum；Thus it is contemplated that when the difference that agential lowest bid and Utilities Electric Co. offer is larger, suitably carry
High concession amplitude, vice versa.Convolution (8), the negotiation quotation after the wheel adjustment of Utilities Electric Co.'s kth+1Can be according to formula
(13)-(14) obtain:
In formula:σ (k) is the agential quotations of Utilities Electric Co. EVs all to kth wheel and the adjustment of Utilities Electric Co.'s quotation difference
Coefficient, it can be calculated by (14).(4) EV agent and Utilities Electric Co.'s negotiation process
According to initial bid strategy and quotation adjustable strategies, EV agent and Utilities Electric Co. can pass through quotation-study-tune
Whole mode, the scheduling for EV charging loads are reached an agreement.When carrying out the negotiation of kth wheel, all NA EV agents are simultaneously
The quotation of kth wheel is submitted to Utilities Electric Co.Utilities Electric Co. also provides the quotation of kth wheel simultaneouslyAs EV agent a
In the price that kth wheel is declaredThe price provided not higher than Utilities Electric Co.When, Utilities Electric Co. can consider whether to dispatch
Agent a EV charging loads；If multiple agential quotations are not higher than Utilities Electric Co.'s quotation, Utilities Electric Co. has the right to determine
Whether some or some EV agential charging load are dispatched；If Utilities Electric Co. determines to participate in scheduling using agent a EV, most
The price to be struck a bargain eventually with agent aFor the average of double barreled quotation, i.e.,:
The scheduling of Utilities Electric Co.'s EV charging load administrative to agent a is needed by optimizing realization, and Optimized model is
(1)-(8), increase is needed to pay agent a scheduling expense C in object functionA(a, k), it can be counted by formula (16)
Calculate:
After Utilities Electric Co. solves EV load scheduling amounts, the contract for including scheduling quantum and price paid is proposed Agent a selections receive or refusal contract.
Analysis agent business a selection in two kinds of situation below：
The scheduling quantum that 1.EV agent a can at a time be provided is fully utilized by Utilities Electric Co., in this case, generation
Reason business a thinks that EV schedulable ability has been fully used, and it tends to the contract for receiving Utilities Electric Co.'s offer.
The scheduling upper limit that 2.EV agent a can not up to be provided at all moment, because EV agent does not know about electric power
The scheduling quantum of companies needs, therefore agent a can not judge to reduce whether concluded price can improve the scheduled amount of charging load,
Even if the scheduling quantum of charging load improves, actual income CA(a, k) may also be reduced.EV agent can according to itself
Risk partiality, choose whether to receive the contract of Utilities Electric Co..It is assumed here that EV agent is risk aversion type, i.e. agent's meeting
Receive the contract of Utilities Electric Co..
Certainly, it is also possible to EV agent a quotationOffered less than Utilities Electric Co.And final Utilities Electric Co.
And it is non-selected signed an agreement with agent a, i.e. the EV of agent a charging load is not dispatched (when Utilities Electric Co.'s phase by Utilities Electric Co.
When hoping that the EV loads of scheduling are seldom, it is possible to such case occur；Multiple agential prices are below in same a round of talks
The quotation of Utilities Electric Co., Utilities Electric Co. can reach demand by dispatching the agent of lowest price, then offer of a relatively high generation
Reason business would not be scheduled, even if their quotation is less than the quotation of Utilities Electric Co.).In this case, Utilities Electric Co. is full
Negotiation progress is terminated after sufficient demand, even if agent a continues to reduce the quotation of itself, will not be still scheduled.
The invention has the advantages that using the dispatching method of the present invention can realize that agent and Utilities Electric Co. can be with
Income is obtained, reaches the purpose of doulbe-sides' victory.
Brief description of the drawings
Fig. 1 is the system loading curve in negotiation process
Fig. 2 is the negotiation process curve in the case of two kinds of different load curves
Embodiment
First, establish meter and electric automobile agent participates in mathematical modeling and the electric automobile agency of system optimization scheduling
The charge requirement model of business.Afterwards, system optimization is participated in electric automobile according to electric automobile agent and Utilities Electric Co. respectively
The estimation of the income that Utilities Electric Co. brings and the loss that electric automobile agency can suffer from is scheduling to, sets forth its negotiation report
Valency strategy and quotation adjustable strategies.Finally, proposed negotiation strategies is utilized, electric automobile agent and electric power system dispatching are equal
Income can be obtained, reaches the purpose of doulbe-sides' victory.
Fig. 1：In negotiation process, change of the scheduling charging electric vehicle load to system daily load curve, serve and cut
The effect of peak load.
Fig. 2：It compared for electric automobile agent offer curve and Utilities Electric Co.'s negotiation offer curve under two kinds of different scenes.
Claims (1)
1. a kind of electric automobile participates in the Optimization Scheduling of power system, it is characterised in that comprises the following steps：
(1) EV agent's initial bid is determined
EV agent formulates EV charging plans according to EV charge models, as original planReport in power scheduling
The heart, while declare the EV load limits that agent can participate in dispatchingWithTo ensure after dispatching not
Charge protocol with EV user still can be met, and EV agent need to keep constant in total purchase of electricity of all scheduling slots,
It is constrained to formula (1):
With reference to formula (1), charging load total amount that EV agent decreases or increases within the T1 periods is equal to be increased within the T2 periods
Or the charging load total amount of reduction,If Utilities Electric Co. and the agential negotiation prices of EV are that unit adjusts electricity
Price, EV agent a income REVA(a) difference of extra operating cost caused by the income obtained for negotiation and participation scheduling,
I.e.:
In formula:λbid(a) quotation for being agent a, λS(t) it is quotation of the Utilities Electric Co. in the t periods；
Assuming that the desired minimum incomes of EV agent a and the unit quantity of electricity adjustment price corresponding to desired top gain are respectively
λbid,minAnd λ (a)bid,max(a)；Wherein, λbid,min(a) for EV agent estimation thread EV charge capacities it is extra into
Sheet and desired minimum yield sum, λbid,max(a) the participation system call estimated with EV agent subtracts to system operation cost
Few contribution it is expected that the effectiveness of acquisition is relevant with EV agent, can be calculated by formula (3)：
In formula:WithWhat total the reduction operating cost and system of respectively EV agent a estimations needed in the t periods
Adjust electricity；γex(a) total coefficient for reducing operating cost is accounted for for the EV agent a effectiveness for it is expected to obtain；
EV agent a can select highest quotation λ when offering first timebid,max(a)；If failing to reach an agreement with Utilities Electric Co.,
Negotiation quotation is gradually reduced, until reaching an agreement or reaching lowest bid λ with Utilities Electric Co.bid,min(a) untill；Using linear report
Valency strategy, it is assumed that it is K to negotiate maximum roundsmax, negotiation bids of the EV agent a in kth wheelFor:
(2) Utilities Electric Co. determines initial bid
Utilities Electric Co. according toWithObtain the desired load scheduling amount of day partDispatched with passing through
EV loads can reduction system operation cost Δ CG, whereinIt can be calculated by formula (5)：
By calculating Δ CGWithUtilities Electric Co. can charge load in the hope of scheduling EV can obtainable maximum utility and scheduling
Load total amount, then Utilities Electric Co. quotation maximum λSbid,maxWith minimum value λSbid,minIt can be obtained respectively by formula (6) and (7)
Arrive：
In formula:π max and π min are respectively that the minimum and maximum effectiveness that Utilities Electric Co. it is expected to obtain accounts for and can always reduce operating cost
Coefficient；
Utilities Electric Co. can declare minimum price λ when offering first timeSbid,min；If fail to reach an agreement with EV agent, or
Do not reach also in the EV chargings load adjustment amount that the EV agent that the t periods reach an agreement is providedUtilities Electric Co. can be gradual
Negotiation quotation is improved, until reaching highest quotation λSbid,maxOr the Load adjustment amount that the EV agent to have reached an agreement is provided expires
FootDemand；Using linear bidding strategy, bid in the negotiation of kth wheelFor:
(3) quotation adjustment amendment
In negotiation process, EV agent a can correct according to the offer curve of estimation and the difference of Utilities Electric Co.'s actual price
Prediction to Utilities Electric Co.'s dispatching requirement and income：
In formula:WithThe quotation of Utilities Electric Co.'s kth wheel of respectively agent a estimations, the electricity of estimation
The minimum and maximum effectiveness that power company it is expected to obtain accounts for the coefficient that can always reduce operating cost；
When desired value of the actual price of Utilities Electric Co.'s kth wheel higher than EV agent a, it is negative to show that EV agent underestimates EV chargings
Lotus dispatches the total utility to Utilities Electric Co., then agent can contemplate the concession amplitude for reducing quotation, and vice versa；In addition, generation
Business a is managed to be properly increased when quotation difference is larger according to the quotation difference adjustment concession tactics of agent and Utilities Electric Co.
Concession amplitude, vice versa；The price declared with reference to EV agent a in kth wheelWith formula (4), EV agent a kth+
Negotiation quotation after 1 wheel adjustmentIt can be obtained according to formula (10)-(12)；
In formula:ε1(a, k) and ε2(a, k) is respectively that EV agent is expected price bias to the quotation of kLun Utilities Electric Co.s with agent
Regulation coefficient and the quotation of kLun Utilities Electric Co.s can be counted with acting on behalf of the regulation coefficient of Bidding difference, difference by (11) and (12)
Obtain；
Utilities Electric Co. also can adjust the quotation strategy of itself according to the agential quotations of each EV；It is agential competing in view of multiple EV
Relation is striven, the minimum agent that offers can reach an agreement with Utilities Electric Co. earliest, to concluded price and Utilities Electric Co.'s adjustment quotation
The influence of strategy is maximum；Thus it is contemplated that when the difference that agential lowest bid and Utilities Electric Co. offer is larger, properly increases and allow
Stride degree, vice versa；Convolution (8), the negotiation quotation after the wheel adjustment of Utilities Electric Co.'s kth+1Can according to formula (13)-
(14) obtain:
In formula:σ (k) is the regulation coefficient of the agential quotations of Utilities Electric Co. EVs all to kth wheel and Utilities Electric Co.'s quotation difference,
It can be calculated by (14)；
(4) EV agent and Utilities Electric Co.'s negotiation process
According to initial bid strategy and quotation adjustable strategies, EV agent and Utilities Electric Co. can pass through quotation-study-adjustment
Mode, the scheduling for EV charging loads are reached an agreement, and when carrying out the negotiation of kth wheel, all NA EV agents are simultaneously to electricity
The quotation of kth wheel is submitted by power companyUtilities Electric Co. also provides the quotation of kth wheel simultaneouslyWhen EV agent a is in kth
Take turns the price declaredThe price provided not higher than Utilities Electric Co.When, Utilities Electric Co. can consider whether scheduling broker business
A EV charging loads；If multiple agential quotations are not higher than Utilities Electric Co.'s quotation, Utilities Electric Co. has the right to decide whether to adjust
Spend some or the agential charging loads of some EV；If Utilities Electric Co. determines to participate in scheduling, final and generation using agent a EV
Manage the price that business a strikes a bargainFor the average of double barreled quotation, i.e.,:
Utilities Electric Co. it is administrative to agent a EV charging load scheduling need by optimize realize, Optimized model be (1)-
(8) increase, is needed to pay agent a scheduling expense C in object functionA(a, k), it can be calculated by formula (16):
After Utilities Electric Co. solves EV load scheduling amounts, the contract for including scheduling quantum and price paid is proposed Agent a selections receive or refusal contract.
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Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105515862A (en) * | 2015-12-10 | 2016-04-20 | 国网福建省电力有限公司 | Analysis method for communication network performance of electric car battery charging-replacing station |
| CN107154625B (en) * | 2017-06-02 | 2019-10-01 | 重庆大学 | Electric car electric discharge electricity price based on fuzzy Bayesian learning negotiates method |
| CN110733371B (en) * | 2019-10-30 | 2021-06-04 | 深圳供电局有限公司 | Charging analysis method for electric automobile charging pile |
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