CN108400598A - PHEV charging station Demand-side energy management methods and computer storage media - Google Patents
PHEV charging station Demand-side energy management methods and computer storage media Download PDFInfo
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- CN108400598A CN108400598A CN201810573648.6A CN201810573648A CN108400598A CN 108400598 A CN108400598 A CN 108400598A CN 201810573648 A CN201810573648 A CN 201810573648A CN 108400598 A CN108400598 A CN 108400598A
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
- H02J3/14—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2310/00—The network for supplying or distributing electric power characterised by its spatial reach or by the load
- H02J2310/50—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads
- H02J2310/56—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads characterised by the condition upon which the selective controlling is based
- H02J2310/62—The condition being non-electrical, e.g. temperature
- H02J2310/64—The condition being economic, e.g. tariff based load management
-
- 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
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
- Y02B70/30—Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
- Y02B70/3225—Demand response systems, e.g. load shedding, peak shaving
-
- 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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
- Y04S20/20—End-user application control systems
- Y04S20/222—Demand response systems, e.g. load shedding, peak shaving
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- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
The present invention provides a kind of PHEV charging stations Demand-side energy management method and computer storage media, wherein method includes：The totle drilling cost of PHEV charging stations is calculated according to the type of electric energy supply side unit；According to the gross profit of PHEV charging stations described in the feature calculation of electrical energy demands side charging load；The net profit of the PHEV charging stations is obtained according to the totle drilling cost and the gross profit.Present application contemplates the common optimizations of electric energy supply side and electrical energy demands side, are conducive to PHEV charging stations and realize higher income and lower cost.
Description
Technical field
The present invention relates to electric automobile charging station management domain more particularly to plug-in hybrid electric automobiles (PHEV)
Charging station management method is exactly specifically a kind of PHEV charging stations Demand-side energy management method and computer storage media.
Background technology
Plug-in hybrid electric automobile (hybrid vehicle that i.e. plug-in is charged) has low oil consumption and few dirt
The advantages of dye, all causes great concern in industry and sphere of learning.According to the report of american energy Information Management Bureau, PHEV
The fuel consumption and CO2 emissions that 50%~70% can be reduced, greatly reduce dirt of the mankind's activity to environment
Dye.Therefore, in recent years, under the promotion energetically of national governments, the purchase of PHEV and usage amount sharply increase.According to U.S.'s electricity
The statistical result of power research institute (Electric Power Research Institute, EPRI), accounted in PHEV in 2015
According to the 62% of U.S.'s vehicle fleet.Simultaneously, increasingly increased PHEV needs in multiple places (such as community, shopping center
With high technology industry garden etc.) investment construction PHEV charging stations.
It can be regarded as microgrid when carrying out energy management to PHEV charging stations.In energy supply side face, PHEV fills
Include distributed type renewable power supply, traditional gas-liquid-liquid three-phase flow inside power station.Energy requirement side face, PHEV charges load can
It is divided into two classes, one kind is the business PHEV charge users that charging behavior is influenced by electric rate；Another kind of is because long-term in signing
Charging contract and determine charging totle drilling cost contract PHEV fleets, the charging of the contract PHEV fleets for the contract that charges for a long time in signing
Total amount by PHEV charging stations it has been determined that can concentrate the optimization for carrying out time scale to distribute.For business PHEV charge users,
Many researchers that PHEV charging stations are studied, it was also proposed that some prioritization schemes, for example, X.Wang and R.Karki are carried
Hybrid analysis and Monte Carlo simulation method (the Exploiting PHEV to of hybrid power system reliability assessment are gone out
Augment Power System Reliability, IEEE Transactions on Smart Grid, vol.8,
pp.2100-2108,2017)；A.Kulvanitchaiyanunt and V.C.P.Chen et al. propose to establish a kind of based on electric power city
Finite layer Stochastic Programming Model (the ALinear Program for System-Level of the maximum revenue of field price
Control of Regional PHEV Charging Stations,"IEEE Transactions on Industry
Applications, vol.52, pp.2046-2052,2016)；Y.Kim, J.Kwak and S.Chong propose different automobile types
Profit prioritization scheme, at the same consider in runing target reduce PHEV consumer stand-by period (Dynamic Pricing,
Scheduling, and Energy Management for Profit Maximization in PHEV Charging
Stations, IEEE Transactions on Vehicular Technology, vol.66, pp.1011-1026,2017).
But it is above-mentioned in the prior art, charging station operator there is no carry out rechargeable energy supply side energy management.For
This, many researchers attempt to study the medium-term and long-term plans of rechargeable energy supply side, for example, J.Reneses,
E.Centeno and J.Barquin analyzes the relationship (Coordination of electricity market mid-term plan and short-term operation
between medium-term generation planning and short-term operation in
Electricity markets, IEEE Transactions on Power Systems, vol.21, pp.43-52,2006)；
J.Xu and P.B.Luh et al. propose an Optimal Portfolio Model, while managing IT risks, improve to the maximum extent
Profit (the Power Portfolio Optimization in Deregulated Electricity of load services entity
Markets With Risk Management, IEEE Transactions on Power Systems, vol.21,
Pp.1653-1662,2006)；M.Carrion, J.M.Arroyo and A.J.Conejo propose a kind of optimization retailer's mid-term and determine
Bi-level optimal model (the A Bilevel Stochastic Programming Approach for Retailer of plan combination
Futures Market Trading,"IEEE Transactions on Power Systems,vol.24,pp.1446-
1456,2009).However, these one of ordinary skill in the art do not account for the characteristic of the charging load of PHEV charging stations.
Therefore, those skilled in the art are conducive to there is an urgent need for researching and developing a kind of energy management optimization method for PHEV charging stations
PHEV charging stations realize higher income and lower cost.
Invention content
In view of this, the technical problem to be solved in the present invention is to provide a kind of PHEV charging stations Demand-side energy management side
Method and computer storage media solve in existing PHEV charging stations energy management not while considering energy supply side and energy
Demand-side load characteristic is unfavorable for the problem of PHEV charging stations obtain more high yield.
In order to solve the above-mentioned technical problem, specific implementation mode of the invention provides a kind of PHEV charging stations Demand-side energy
Management method, including：The totle drilling cost of PHEV charging stations is calculated according to the type of electric energy supply side unit；It is filled according to electrical energy demands side
The gross profit of PHEV charging stations described in the feature calculation of electric load；The PHEV is obtained according to the totle drilling cost and the gross profit
The net profit of charging station.
The specific implementation mode of the present invention also provides a kind of computer storage media including computer executed instructions, described
When computer executed instructions are handled via data processing equipment, which executes PHEV charging station Demand-side energy pipes
Reason method.
Above-mentioned specific implementation mode according to the present invention is it is found that PHEV charging station Demand-side energy management methods and computer
Storage medium at least has the advantages that：In PHEV charging station energy supplies side, it is contemplated that distributed type renewable power supply passes
The Unit Combination and Economic Dispatch Problem of the gas-liquid-liquid three-phase flow of system；In PHEV charging station energy requirements side, it is contemplated that two kinds are filled
Electric load, one is the business PHEV user of price response, another kind is the contract PHEV fleets for needing to carry out energy distribution.Cause
This, PHEV is when carrying out energy management, it is contemplated that electric energy supply side (energy supply side) and electrical energy demands side (energy supply side)
Common optimization.And in this optimization process, it is also contemplated that the uncertain factor of renewable unit output is conducive to PHEV
Charging station realizes higher income and lower cost.
It is to be understood that above-mentioned general description and detailed description below are merely illustrative and illustrative, not
It can the limitation range of the invention to be advocated.
Description of the drawings
Following appended attached drawing is the part of specification of the present invention, depicts example embodiments of the present invention, institute
Attached drawing is used for illustrating the principle of the present invention together with the description of specification.
Fig. 1 is a kind of flow for PHEV charging stations Demand-side energy management method that the specific embodiment of the invention provides
Figure.
Fig. 2 is the energy transmission that a kind of PHEV charging stations that the specific embodiment of the invention provides consider stochastic programming scheme
Frame.
Fig. 3 is a kind of Unit Combination scheduling graph for three conventional fuel oil units that the specific embodiment of the invention provides.
Fig. 4 is that one kind that the specific embodiment of the invention provides is based on five wind that Latin Hypercube Sampling (LHS) generates
Electric output scene.
Fig. 5 is a kind of response of consideration price and the business for not considering price response that the specific embodiment of the invention provides
PHEV load comparisons scheme.
Fig. 6 is that the business PHEV loads for a kind of three kinds different price elastic coefficients that the specific embodiment of the invention provides fill
Electrograph.
Fig. 7 is a kind of power distribution figure for contract PHEV fleets load that the specific embodiment of the invention provides.
Specific implementation mode
Understand in order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below will with attached drawing and in detail
Narration clearly illustrates that the spirit of disclosed content, any skilled artisan are understanding the content of present invention
After embodiment, when the technology that can be taught by the content of present invention, it is changed and modifies, without departing from the essence of the content of present invention
God and range.
The illustrative embodiments of the present invention and their descriptions are used to explain the present invention, but not as a limitation of the invention.
In addition, in the drawings and embodiments the use of element/component of same or like label is for representing same or like portion
Point.
About " first " used herein, " second " ... etc., not especially censure the meaning of order or cis-position,
It is non-to limit the present invention, only for distinguishing the element described with same technique term or operation.
About direction term used herein, such as：Upper and lower, left and right, front or rear etc. are only the sides of refer to the attached drawing
To.Therefore, the direction term used is intended to be illustrative and not intended to limit this creation.
It is the term of opening, i.e., about "comprising" used herein, " comprising ", " having ", " containing " etc.
Mean including but not limited to.
About it is used herein " and/or ", include the things any or all combinations.
Include " two " and " two or more " about " multiple " herein；Include " two groups " about " multigroup " herein
And " more than two ".
About term used herein " substantially ", " about " etc., to modify it is any can be with the quantity or mistake of microvariations
Difference, but this slight variations or error can't change its essence.In general, microvariations that such term is modified or error
Range in some embodiments can be 20%, in some embodiments can be 10%, can be in some embodiments 5% or its
His numerical value.It will be understood by those skilled in the art that the aforementioned numerical value referred to can be adjusted according to actual demand, it is not limited thereto.
It is certain describing the word of the application by lower or discuss in the other places of this specification, to provide art technology
Personnel's guiding additional in relation to the description of the present application.
Fig. 1 is a kind of flow for PHEV charging stations Demand-side energy management method that the specific embodiment of the invention provides
Figure, as shown in Figure 1, PHEV charging station energy managements need while optimizing electric energy supply side and electrical energy demands side, PHEV charging stations
Target be maximize net profit.Net profit is calculated in the difference by totle drilling cost and gross profit.
In the specific implementation mode shown in the drawings, PHEV charging station Demand-side energy management methods include：
Step 101：The totle drilling cost of PHEV charging stations is calculated according to the type of electric energy supply side unit.The embodiment of the present invention
In, the type of electric energy supply side unit includes conventional fuel oil generating set and renewable energy generation (i.e. distributed type renewable machine
Group), renewable energy generation specifically includes renewable Wind turbines, renewable photovoltaic unit and renewable Hydropower Unit etc..
Step 102：According to the gross profit of PHEV charging stations described in the feature calculation of electrical energy demands side charging load.The present invention
Embodiment in, the feature of electrical energy demands side charging load includes the business PHEV loads responded based on price and charging time can
The contract PHEV fleets load of tune, for example, when charging electricity price is high, business PHEV loads are few, otherwise business PHEV loads are more.
The charging decision based on charging electricity price of business PHEV loads is completed a few days ago, and decision variable is 24 hours second day time scales
Business PHEV loads charging electricity price.Contract PHEV fleets load can be PHEV bus columns, PHEV taxi vehicles
Team etc..Contract PHEV fleets load endorsed medium-term and long-term charging contract, i.e., (example in the time range determined in one day
Such as, evening hours, 23 points to second day of 5:00 AM of the same day), PHEV charging stations ensure the electricity that can make contract PHEV fleets
Reach saturation.Under the premise of total rechargeable energy determines, when PHEV charging stations can carry out contract PHEV fleets load power
Between optimum allocation under scale.
Step 103：The net profit of the PHEV charging stations is obtained according to the totle drilling cost and the gross profit.The present invention's
In embodiment, the difference of totle drilling cost and gross profit is the net profit of PHEV charging stations.
Referring to Fig. 1, start and stop and power output decision and the regenerative resource of the Unit Combination of conventional fuel oil unit are considered
The stochastic volatility of unit reduces the totle drilling cost of PHEV charging station electric energy supply sides to the greatest extent；Consider that electrical energy demands side is charged simultaneously
The type and different load type of load increase PHEV charging station electric energy as possible to charging electricity price and charging time susceptibility
The gross profit of supply side makes the operation net profit of PHEV charging stations maximize.
In specific embodiments of the present invention, step 102 specifically includes：According to the power generation limit of the conventional fuel oil unit at
The totle drilling cost of this calculating PHEV charging stations, wherein the marginal generation cost of the conventional fuel oil unit includes booting cost, shutdown
Cost, unloaded cost and operating cost etc..Although a cost of investment of distributed type renewable unit is very big, its side that generates electricity
Border cost can be ignored, i.e., distributed type renewable unit is not powered on cost, shutdown cost, unloaded cost and operating cost etc..
In specific embodiments of the present invention, the feature of electrical energy demands side charging load includes business PHEV loads and contract
PHEV fleets load, step 103 specifically include：According to the charging electricity price of the business PHEV loads and contract PHEV fleets
The charging time section of load calculates the gross profit of the PHEV charging stations.Business PHEV loads are to charging price (charging electricity price) ratio
More sensitive, contract PHEV fleet's loads are insensitive to charging price, can adjust the charging time section of contract PHEV fleets load,
It is arranged in the night of electricity consumption trough.
Further, the totle drilling cost CGen,sCalculation formula be specially：
Wherein, T is run time set；T is the time；I is the unit set of conventional fuel oil generating set；I is that tradition is fired
Oily generating set；SUiFor the booting cost of conventional fuel oil generating set i；SDiFor the shutdown cost of conventional fuel oil generating set i；
ui,tBinary variable is indicated for the booting of conventional fuel oil unit i；vi,tIndicate that binary system becomes for the shutdown of conventional fuel oil unit i
Amount；oi,tBinary variable is indicated for the operation of conventional fuel oil unit i；OiFor conventional fuel oil generating set i no-load running at
This；Ci(pi,t) be conventional fuel oil generating set i operating cost function, Ci(Pi,t)=aiPi,t+bi(pi,t)2, wherein aiAnd bi
It is constant, Pi,tIt is the output power decision of conventional fuel oil unit i.
Further, the gross profit RChar,sSpecific formula for calculation be：
Wherein, T is run time set；T is the time；M is in business PHEV loads, according to the difference of price elastic coefficient
And the three kinds of loads distinguished, wherein the charge power of the first load does not change at any time, the price bullet of the third load
Property coefficient is maximum, and the price elastic coefficient of second of load is between the first load and the third load；M is one in M
Kind load；For the charge power decision of contract PHEV fleets load；For the charging price of contract PHEV fleets load；
For the charge power decision of business PHEV loads；For the charging underlying price of business PHEV loads；For business PHEV loads
Charging decision price change amount.
Further, the calculation formula of the net profit P is specially：
Wherein, S is by sampling the scene number (generating different scenes by Latin Hypercube Sampling) generated at random；s
For scene serial number；CGen,sFor totle drilling cost；RChar,sFor gross profit；Pmin,ioi,t≤pi,t≤Pmax,ioi,t For tradition
The bound of the output power decision of fuel oil consump-tion i constrains, Pmin,iAnd Pmax,iThe respectively power generation of conventional fuel oil generating set i
Minimum and maximum power, oi,tIndicate that binary variable, value indicate when being 1 for the operation of the conventional fuel oil unit i in time t
The booting decision of unit i indicates the shutdown decision of unit i when value is 0；-oi,t-1+oi,t-oi,k≤0,For the constraint of minimum available machine time；oi,t-1-oi,t+oi,k≤1,For the constraint of minimum unused time, MDiFor the minimum shutdown of conventional fuel oil generating set i
Time；-oi,t-1+oi,t-ui,t≤0,Machine constraint, u are opened for uniti,tFor the conventional fuel oil unit i in time t
Booting indicate binary variable, the booting decision of the unit of unit i is indicated when value is 1, indicates that unit i does not have when value is 0
Boot up decision；oi,t-1-oi,t-vi,t≤0,It is constrained for the shutdown of unit, vi,tIt is traditional in time t
The shutdown of fuel oil consump-tion i indicates binary variable, and the shutdown decision of the unit of unit i, table when value is 0 are indicated when value is 1
Show that unit i does not carry out shutdown decision；pi,t-pi,t-1≤(2-oi,t-1-oi,t)Pmin,i+(1+oi,t-1-oi,t)RUi,It is constrained for the power decrease speed of unit, RUiIt is constrained for the power up speeds of conventional fuel oil generating set i；
pi,t-pi,t-1≤(2-oi,t-1-oi,t)Pmin,i+(1-oi,t-1+oi,t)RDi,For unit power decrease speed about
Beam, RDiIt is constrained for the power decrease speed of conventional fuel oil generating set i；For renewable wind
The constraint that electricity is contributed,For renewable wind power output,For the random output of the Wind turbines of time t in scene s；For renewable photovoltaic contribute constraint,It contributes for renewable photovoltaic,For in scene s
The random output of the solar energy unit of time t；For to contract PHEV fleets load at runtime
Between set TIIInterior time period t carries out bound constraint, wherein TIIFor the run time set of contract PHEV fleets load,
For the minimum charge power of contract PHEV fleets load,For time t when contract PHEV fleets loads charge power decision,For the maximum charge power of contract PHEV fleets load；WithIt is defined for business PHEV load related constraints,For time t when m classes business PHEV
The charge power decision of load,For the basic charge power of the business PHEV loads of the m classes of time t,For time t's
The charging decision price change amount of business PHEV loads, πt IFor the charging underlying price of the business PHEV loads of time t,For
The minimum charging price of business PHEV loads,For the maximum charge price of business PHEV loads；For for closing
Total amount with PHEV fleets load rechargeable energy constrains, EII-TotalFor total rechargeable energy of contract PHEV fleets load,For when
Between t contract PHEV fleets load charge power decision.
In the embodiment of the present invention, when adjusting the charging of business PHEV loads in gross profit according to price elastic coefficient dynamic
Between section, and according to network load adjust gross profit in contract PHEV fleets load charge power.For the difference of load, respectively
Consider the variation of charging price and the peak power output of power grid, to realize that the net profit maximum of PHEV charging stations turns to target,
Rational deployment generating set.
Specific embodiments of the present invention provide a kind of computer storage media including computer executed instructions, the calculating
Machine executes instruction when being handled via data processing equipment, which executes PHEV charging station Demand-sides energy management side
Method.Method includes the following steps：
Step 101：The totle drilling cost of PHEV charging stations is calculated according to the type of electric energy supply side unit.
Step 102：According to the gross profit of PHEV charging stations described in the feature calculation of electrical energy demands side charging load.
Step 103：The net profit of the PHEV charging stations is obtained according to the totle drilling cost and the gross profit.
Fig. 2 is the energy transmission that a kind of PHEV charging stations that the specific embodiment of the invention provides consider stochastic programming scheme
Frame, as shown in Fig. 2, at electric energy supply side (electric energy supply side), on the one hand PHEV charging station energy managements center is sent out tradition
The Unit Combination and economic load dispatching of motor group carry out the decision of startup and shutdown of units and power output, on the other hand consider regenerative resource
The stochastic volatility of (wind-powered electricity generation and photoelectricity) unit output.In electrical energy demands side, charging load is divided into price response type business and is filled
Electric user's (business PHEV loads) and contract charging fleet (contract PHEV fleets load) two classes, are used with fully showing different chargings
The charge characteristic at family.Wherein, PHEV charging stations make price policy in a manner of decision a few days ago, i.e., make price in the previous day and determine
Plan, therefore, business PHEV loads can make their charging decision based on charging price and price responsiveness.Meanwhile contract
PHEV fleets load is considered the power of schedulable, and contract PHEV fleets load represents the charging conjunction that endorsed charging station
The PHEV buses of same commercial operation or taxi fleet.Based on the medium-term and long-term contract of determining charging total capacity, charging station can
To carry out the distribution in time scale to charge power.
Fig. 3 is a kind of Unit Combination scheduling graph for three conventional fuel oil units that the specific embodiment of the invention provides, such as
Shown in Fig. 3, in energy supply side, such as a PHEV charging station, there are three conventional fuel oil generator, a Wind turbines and
The data of one solar energy unit, conventional fuel oil unit come from Dezhou Reliability Committee (ERCOT), Wind turbines and the sun
The data of energy unit output are to be obtained from the renewable energy power generation project in Hebei, and the sampling process of uncertainty is by Latin
Hypercube samples (LHS) and generates different scenes.
Unit data based on setting, as shown in figure 3, since the marginal cost of unit 3 is minimum, the output of unit 3
It is always held at the upper limit.Unit 2 similar in marginal operation cost compares with unit 1, since the start-up and shut-down costs of unit 1 are less than machine
Group 2, therefore, in contract PHEV fleets load few period (4 points to 7 points), when the small unit 1 of start-up and shut-down costs shuts down one section
Between.
Fig. 4 is that one kind that the specific embodiment of the invention provides is based on five wind that Latin Hypercube Sampling (LHS) generates
Electric output scene, as shown in figure 4, five random scenes of wind power output are generated using the method for Latin Hypercube Sampling, to
Indicate the randomness of wind-powered electricity generation.
Fig. 5 is a kind of response of consideration price and the business for not considering price response that the specific embodiment of the invention provides
PHEV load comparisons scheme, as shown in figure 5, in energy requirement side, are born for example, 90% charge requirement is arranged to business PHEV
Lotus, remaining 10% is arranged to contract PHEV fleets load.The response coefficient of elasticity difference of lattice bears business PHEV according to the price
Lotus is divided into three classes：PHEV chargings load insensitive to price change, general sensitive PHEV charging loads and most sensitive PHEV
Charge load, this three type load is all equivalent before price.And the power distribution time of business PHEV loads is evening on the same day
Upper 11 points to second day 5:00 AM.Business PHEV loads are totally intended to gentle trend, i.e., under the scheduling of charging price
Disappear peak load, becomes smaller to the impact of micro-capacitance sensor.
Fig. 6 is that the business PHEV loads for a kind of three kinds different price elastic coefficients that the specific embodiment of the invention provides fill
Electrograph, as shown in fig. 6, the first charging load is not price response load, the price elastic coefficient of the third charging load is most
Greatly, second between.The third load is as price elasticity highest, the charging tune made to price during whole service
Whole reaction is maximum.
Fig. 7 is a kind of power distribution figure for contract PHEV fleets load that the specific embodiment of the invention provides, such as Fig. 7 institutes
Show, contract PHEV fleet's loads are in morning 3：00 to 5：00 charge volume peaks, because of the regenerative resource machine of the period
The output of group is maximum (mainly wind-powered electricity generation).
Following table 1 is to consider that the cost that different factors influence compares, and obtains totle drilling cost under different scenes, gross profit and net
The comparison of profit.Wherein, four scenes are respectively set as follows：Scene one, business PHEV loads are price response load, contract
PHEV fleets load at the appointed time section mean allocation；Scene two, business PHEV loads be it is fixed not at any time to price into
The load of row response, at the appointed time section carries out distributing rationally for power to contract PHEV fleets load；Scene three, business PHEV are negative
Lotus is price response load, and at the appointed time section carries out distributing rationally for power to contract PHEV fleets load；Scene four, business
PHEV loads are the fixed loads not responded at any time to price, and at the appointed time section is average for contract PHEV fleets load
Distribution.
Table 1
| Totle drilling cost ($) | Gross profit ($) | Net profit ($) | |
| Scene one | 2511.05 | 10557.15 | 8046.10 |
| Scene two | 2967.42 | 3439.36 | 471.93 |
| Scene three | 2454.47 | 10728.79 | 8274.31 |
| Scene four | 2990.12 | 3292.66 | 302.54 |
Comparison scene one and scene three are as can be seen that contribute to PHEV to charge distributing rationally for contract PHEV fleets load
It stands and realizes higher income and lower cost.Scene two is compared with scene three, show business PHEV loads to Dynamic Pricing into
The response of row charge power leads to higher income and lower cost.And in scene four, all without above-mentioned two Demand-side into
Row management, therefore totle drilling cost highest, net profit are minimum.In conclusion demonstrating the energy of the PHEV charging stations of the application proposition
The applicability and superiority of management optimization method.
The above-mentioned embodiment of the present invention can be implemented in various hardware, Software Coding or both combination.For example, this hair
Bright embodiment, which is alternatively in data signal processor (Digital Signal Processor, DSP), executes the above method
Program code.The present invention can also refer to computer processor, digital signal processor, microprocessor or field-programmable gate array
Arrange the multiple functions that (Field Programmable Gate Array, FPGA) is executed.Above-mentioned processing can be configured according to the present invention
Device executes particular task, and machine-readable software code or the firmware generation of the ad hoc approach that the present invention discloses are defined by executing
Code is completed.Software code or firmware code can be developed into different program languages and different formats or form.Or
Different target platform composing software codes.However, configuring generation according to the software code of execution task of the present invention and other types
Different code pattern, type and the language of code do not depart from spirit and scope of the invention.
The foregoing is merely the schematical specific implementation modes of the present invention, before the design and principle for not departing from the present invention
It puts, the equivalent variations and modification that any those skilled in the art is made should all belong to the scope of protection of the invention.
Claims (10)
1. a kind of PHEV charging stations Demand-side energy management method, which is characterized in that this method includes：
The totle drilling cost of PHEV charging stations is calculated according to the type of electric energy supply side unit；
According to the gross profit of PHEV charging stations described in the feature calculation of electrical energy demands side charging load；
The net profit of the PHEV charging stations is obtained according to the totle drilling cost and the gross profit.
2. PHEV charging stations Demand-side energy management method as described in claim 1, which is characterized in that the type includes passing
System fuel oil consump-tion and distributed type renewable unit calculate the totle drilling cost of PHEV charging stations according to the type of electric energy supply side unit
Step specifically includes：
The totle drilling cost of PHEV charging stations is calculated according to the marginal generation cost of the conventional fuel oil unit, wherein the tradition combustion
The marginal generation cost of oil machine group includes booting cost, shutdown cost, unloaded cost and operating cost.
3. PHEV charging stations Demand-side energy management method as claimed in claim 2, which is characterized in that the totle drilling cost CGen,s
Calculation formula be specially：
Wherein, T is run time set；T is the time；I is the unit set of conventional fuel oil generating set；I sends out for conventional fuel oil
Motor group；SUiFor the booting cost of conventional fuel oil generating set i；SDiFor the shutdown cost of conventional fuel oil generating set i；ui,tFor
The booting of conventional fuel oil unit i indicates binary variable；vi,tBinary variable is indicated for the shutdown of conventional fuel oil unit i；oi,t
Binary variable is indicated for the operation of conventional fuel oil unit i；OiFor the no-load running cost of conventional fuel oil generating set i；Ci
(pi,t) be conventional fuel oil generating set i operating cost function, Ci(Pi,t)=aiPi,t+bi(pi,t)2, wherein aiAnd biIt is normal
Number, Pi,tIt is the output power decision of conventional fuel oil unit i.
4. PHEV charging stations Demand-side energy management method as claimed in claim 2, which is characterized in that the feature includes quotient
Industry PHEV loads and contract PHEV fleets load, according to PHEV charging stations described in the feature calculation of electrical energy demands side charging load
The step of gross profit, specifically includes：
According to the section calculating of the charging time of the charging electricity price of the business PHEV loads and contract PHEV fleets load
The gross profit of PHEV charging stations.
5. PHEV charging stations Demand-side energy management method as claimed in claim 4, which is characterized in that the gross profit
RChar,sSpecific formula for calculation be：
Wherein, T is run time set；T is the time；M is the area according to the difference of price elastic coefficient in business PHEV loads
The three kinds of loads divided, wherein the charge power of the first load does not change at any time, the price elasticity system of the third load
Number is maximum, and the price elastic coefficient of second of load is between the first load and the third load；M is that one kind in M is negative
Lotus；For the charge power decision of contract PHEV fleets load；For the charging price of contract PHEV fleets load；For quotient
The charge power decision of industry PHEV loads；For the charging underlying price of business PHEV loads；For filling for business PHEV loads
Electric policy price variable quantity.
6. PHEV charging stations Demand-side energy management method as claimed in claim 5, which is characterized in that the net profit P's
Calculation formula is specially：
Wherein, S is by sampling the scene number generated at random；S is scene serial number；CGen,sFor totle drilling cost；RChar,sFor gross profit；For the bound constraint of the output power decision of conventional fuel oil unit i；-oi,t-1+
oi,t-oi,k≤0,For the constraint of minimum available machine time；oi,t-1-oi,t+oi,k≤1,For the constraint of minimum unused time；For unit
Open machine constraint；It is constrained for the shutdown of unit；pi,t-pi,t-1≤(2-oi,t-1-oi,t)Pmin,i+
(1+oi,t-1-oi,t)RUi,For the constraint of the power decrease speed of unit；pi,t-pi,t-1≤(2-oi,t-1-oi,t)
Pmin,i+(1-oi,t-1+oi,t)RDi,It is constrained for the power decrease speed of unit；
For the constraint of renewable wind power output；The constraint contributed for renewable photovoltaic；To carry out bound to the time period t in contract PHEV fleets load at runtime set TII
Constraint；WithFor business PHEV load phases
Close constraint definition；To be constrained for the total amount of contract PHEV fleets load rechargeable energy.
7. PHEV charging stations Demand-side energy management method as claimed in claim 6, which is characterized in that pass through Latin hypercube
Sampling generates different scenes.
8. PHEV charging stations Demand-side energy management method as claimed in claim 7, which is characterized in that according to price elasticity system
The charging time section of business PHEV loads in number dynamic adjustment gross profit.
9. PHEV charging stations Demand-side energy management method as claimed in claim 8, which is characterized in that according to network load tune
The charge power of contract PHEV fleets load in whole gross profit.
10. a kind of computer storage media including computer executed instructions, the computer executed instructions are via data processing
When equipment processing, which requires 1~9 any PHEV charging station Demand-sides energy management side
Method.
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