CN110165715B - Method for connecting electric vehicle energy storage type charging station into virtual power plant - Google Patents
Method for connecting electric vehicle energy storage type charging station into virtual power plant Download PDFInfo
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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
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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
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
- H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
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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
- H02J3/38—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
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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
- 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]
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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
- 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
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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
- 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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- 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
- Y04S30/00—Systems supporting specific end-user applications in the sector of transportation
- Y04S30/10—Systems supporting the interoperability of electric or hybrid vehicles
- Y04S30/12—Remote or cooperative charging
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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
- 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
- Y04S30/00—Systems supporting specific end-user applications in the sector of transportation
- Y04S30/10—Systems supporting the interoperability of electric or hybrid vehicles
- Y04S30/14—Details associated with the interoperability, e.g. vehicle recognition, authentication, identification or billing
Abstract
The invention discloses a method for accessing an energy storage type charging station of an electric vehicle into a virtual power plant, which is characterized in that an electric energy scheduling operation mode of an electric energy supply and demand relation network system is designed and scheduling is implemented by taking an objective function of the electric energy supply and demand relation network system as an objective and based on an output model, a demand response strategy, an electric energy balance equation and constraint conditions of the electric energy supply and demand relation network system; therefore, the dynamic operation characteristics of renewable energy sources are considered, the virtual power plant technology is combined, physical energy storage equipment is integrated, and better energy distribution is performed on a user side by means of a demand response strategy, so that the aims of reducing the electric quantity abandoned by the renewable energy source power generation and the output ratio of a thermal power plant are fulfilled.
Description
Technical Field
The invention belongs to the technical field of energy storage type charging stations, and particularly relates to a method for connecting an electric vehicle energy storage type charging station into a virtual power plant.
Background
With the development of technology and economy, the demand of people for electric energy supply is gradually increased, and air pollution caused by power generation from fossil energy is also attracting attention. Renewable energy power generation is clean energy and can achieve zero pollution to air. At present, main renewable energy power generation consists of wind power generation, photovoltaic power generation and nuclear power generation, and development and utilization of renewable energy can not only effectively reduce emission of greenhouse gases, but also enable more remote areas to obtain relatively cheap and stable power supply. However, wind power generation and photovoltaic power generation have the characteristics of strong intermittency, volatility and the like, and large-scale consumption of wind power and photoelectricity is restricted.
The problem of wind abandonment and electricity limiting is solved and distributed photovoltaic power generation construction is comprehensively promoted at the present stage, so that multi-energy complementary power generation is provided, actually, the hybrid energy system is configured and optimized, the problem of 'abandoning water, abandoning light and abandoning wind' can be effectively solved, power supply which is stable and reliable according to local conditions can be provided for remote areas to which power grids do not extend yet, and multi-energy complementary is promoted to be the direction of new energy power comprehensive development.
The multi-energy complementation firstly needs a certain magnitude of stable power supply to support the normal operation of the whole system, and energy storage equipment is introduced to the designed renewable energy power generation supply side to store or supplement the random power generation amount of wind power and photovoltaic power generation. The pumped storage hydropower station is an energy storage mode with the characteristics of low power generation cost, strong regulation capacity and the like; in addition, in the charging method of the electric vehicle, there is an energy storage type charging station which can provide a certain amount of electric energy storage compared to a direct current type charging pile, which gives a possibility of storing wind power and photovoltaic random power generation amount.
In recent years, methods for establishing a virtual power plant, which is an integrated power plant composed of an energy management system and small and micro distributed energy resources controlled by the energy management system, have been proposed for such distributed energy invoking operation at home and abroad. And a demand response strategy is implemented at the user side, so that the power consumption can be actively adjusted by the user side while the power resources are fully scheduled. Meanwhile, interruptible load is introduced, so that the system can achieve supply and demand balance as much as possible.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides a method for connecting an electric vehicle energy storage type charging station into a virtual power plant, wherein the electric vehicle energy storage type charging station is integrated into the virtual power plant consisting of wind power and photovoltaic power generation distributed energy, and a complete electric energy supply and demand system is formed by means of an energy storage device of a pumped storage power station and a stable electric energy supply mode of thermal power generation, so that the ratio of electric power abandonment and thermal power generation output of wind power and photovoltaic power generation is reduced.
In order to achieve the purpose, the invention provides a method for connecting an electric vehicle energy storage type charging station into a virtual power plant, which is characterized by comprising the following steps of:
(1) and constructing a power output model of the electric energy supply and demand relation network system
(1.1) constructing an output model of the wind generating set in the electric energy supply and demand relation network system
WP a (h)＝(1+U 1 (x))*WP e (h)
U 1 (x)＝λ*U(-ε 1 ,ε 1 )
Wherein, WP a (h) Is the actual output power per hour, WP, of the wind generating set e (h) For the expected output power per hour, U, of a wind turbine 1 (x) The lambda is an error estimation coefficient U (-epsilon) 1 ,ε 1 ) Is in the interval (-epsilon) 1 ,ε 1 ) Uniformly distributed;
(1.2) building photovoltaic power generation array output model in electric energy supply and demand relation network system
Wherein PV a (h) Actual output power per hour, PV, for a photovoltaic power generation array e (h) Expected output power per hour, U, for a photovoltaic power generation array 2 (x) Is the actual output power error of the photovoltaic power generation array per hour, U (-epsilon) 2 ,ε 2 ) Is in the interval (-epsilon) 2 ,ε 2 ) Uniformly distributed;
(1.3) constructing an electric vehicle charging load unit model in an electric energy supply and demand relation network system
EV a (h)＝(1+U 4 (x))*EV e (h)
U 3 (x)＝λ*U(-ε 3 ,ε 3 )
Wherein, EV a (h) Charging an electric vehicle with a model of the load cell's actual output power per hour, EV e (h) Expected output power per hour, U, for charging an electric vehicle load cell model 3 (x) Load unit model charging for electric vehicle expected load power error per hour, U (-epsilon) 3 ,ε 3 ) Is in the interval (-epsilon) 3 ,ε 3 ) Uniformly distributed;
(1.4) constructing an electric energy load model of the electric energy load unit in the electric energy supply and demand relation network system
CL a (h)＝(1+U 3 (x))*CL e (h)
U 4 (x)＝λ*U(-ε 4 ,ε 4 )
Wherein, CL a (h) Actual load power per hour, CL, of the electrical load cell model e (h) For the expected load power per hour, U, of the electrical load cell model 4 (x) For the expected load power error per hour of the electrical load unit model, U (-epsilon) 4 ,ε 4 ) Is in the interval (-epsilon) 4 ,ε 4 ) Uniformly distributed;
(1.5) constructing an electric vehicle energy storage type charging station model in an electric energy supply and demand relation network system
Setting rated maximum energy storage electric quantity of electric vehicle energy storage type charging station as EVS R The hourly electric energy storage quantity of the electric vehicle energy storage type charging station is EVS i (h) And consumption as EVS r (h) And the residual available stored electric quantity EVS of the energy storage type charging station of the electric automobile after the lapse of each hour a (h)；
(1.6) constructing a pumped storage hydropower station model in the electric energy supply and demand relation network system;
setting the rated maximum energy storage capacity of the pumped storage hydropower station as PSP R Water pumping generator group G 5 Maximum electrical energy storage per hour of PSP i (h) (ii) a Generator set G 6 Maximum power consumption per hour is PSP r (h) PSP (power supply performance) of residual available storage electric quantity of pumped storage hydropower station after each hour is passed a (h)；
(1.7) constructing a model of the thermal power generation unit in the electric energy supply and demand relation network system
Wherein, TP e (h) Generator set G for indicating main load in thermal generator set 1 ,G 2 ,G 3 Predicted total power output per hour, TP a (h) Generator set G for indicating main load in thermal generator set 1 ,G 2 ,G 3 The sum of the actual output power per hour,
respectively represent G 1 ,G 2 ,G 3 Actual power output per hour;
g is set as interruptible load generator set in thermal generator set 4 ，G 4 The actual output power per hour is DG a (h) Predicting the output power as DG e (h)；
(2) And constructing demand response strategy of electric energy supply and demand relation network system
Wherein, EEV DR (h) Actual hourly load capacity, P, obtained for charging load units of electric vehicles after passing through a demand response strategy EVS Feedback coefficient, P, for electric energy reserve change of an electric vehicle energy storage charging station PSP EEV (EEV) (h) is feedback coefficient of change of electric energy storage of pumped storage power station, and is error amount of electric load per hour, PEV, obtained by electric vehicle charging load unit without demand response strategy DR Feedback factor for demand response of charging load unit of electric vehicle, proportional abbreviated function F t1 (EEV (h)) is the conversion of EEV (h) into the range (-pi/2, pi/2); ECL DR (h) ECL (h) is the actual hourly load obtained by the electric load unit after passing through the demand response strategy, and is the hourly electric load error, PCL, obtained by the electric load unit without passing through the demand response strategy DR Proportional abbreviated function F for demand response feedback factor of electric load unit t2 (ECL (h)) is the conversion of ECL (h) to the range (- π/2, π/2);
(3) constructing two load equations with and without demand response strategy
Wherein, EV DR (h +1) is the actual electric vehicle charging load unit load at the next moment after the demand response strategy is adopted, EV no_DR (h +1) is the actual electric vehicle charging load unit load at the next moment after the demand response strategy is not adopted; CL DR (h +1) is the actual load capacity of the electrical load unit, CL, at the next moment after the demand response strategy is adopted no_DR (h +1) is the actual load capacity of the electric load unit after the demand response strategy is not adopted;
(4) electric energy balance equation for constructing electric energy supply and demand relation network system
Wherein TE (h) is the sum of the power of the electric quantity counted by the dispatching center unit in each hour, TL (h) is the sum of the power of the electric quantity output by the dispatching center unit in each hour, SE (h) is the actual electric power hot standby capacity output in each hour, and IL a (h) Represents the actual load amount of the interruptible load per hour, ae (h) is the actual power discard amount per hour; CL DR (h) In order to adopt actual load capacity of the electric load unit at the current moment after a demand response strategy is adopted, EV DR (h) The actual load capacity of the charging load unit of the electric automobile at the current moment after a demand response strategy is adopted;
(5) and constructing an objective function of the electric energy supply and demand relation network system
Wherein eta 1 The ratio of the sum of the actual power generation amount of the thermal generator set to the sum of the planned power generation amount is represented; eta 2 The ratio of the sum of the actual surplus generated energy of wind power generation and photovoltaic power generation to the sum of the actual abandoned generated energy is represented;
(6) according to the balance of the power supply and demand, constructing the constraint condition of the electric energy supply and demand relation network system
Wherein IL e (h) An expected load capacity for an interruptible load unit per hour;
(7) designing an electric energy scheduling operation mode of the electric energy supply and demand relation network system based on an output model, a demand response strategy, an electric energy balance equation and constraint conditions of the electric energy supply and demand relation network system by taking a target function of the electric energy supply and demand relation network system as a target;
(7.1) calculation of WP a (h)+PV a (h)+TP a (h) And then judging whether the sum is less than EV a (h)+CL a (h) (ii) a If yes, entering step (7.2), otherwise entering step (7.7);
(7.2) supplying the electric energy stored in the electric vehicle energy storage type charging station and the electric energy stored in the pumped storage power station to the electric energy supply and demand relationship network system, judging whether the electric energy stored in the electric vehicle energy storage type charging station and the electric energy stored in the pumped storage power station are enough to supplement the electric energy lacking in the electric energy supply and demand relationship network system, if not, entering a step (7.3), otherwise, entering a step (7.6);
(7.3) the interruptible load power station cuts off the power supply connection with the interruptible load, and then the interruptible load power station is accessed to the electric energy supply and demand relationship network system to supplement the power shortage, if the maximum output of the interruptible load power station is still insufficient to provide the power shortage, the step (7.4) is carried out, and if the maximum output of the interruptible load power station is not enough, the step (7.5) is carried out;
(7.4) in the next unit time, improving the planned power generation amount of the main load thermal generator set, and finishing the scheduling in the unit time;
(7.5) providing the residual output of the interruptible load generator set for the interruptible load, and finishing scheduling in the unit time;
(7.6) completely providing the output of the interruptible load generator set to the interruptible load;
(7.7) supplying the excess electric energy to the interruptible load unit, judging whether additional electric energy is needed, if so, entering a step (7.8), otherwise, entering a step (7.9);
(7.8) providing the needed residual electric energy for the interruptible load unit by the interruptible load generator set, and finishing scheduling in the unit time;
and (7.9) storing the residual unconsumed electric energy in the electric vehicle energy storage type charging station and the pumped storage type charging station in sequence, and finishing the dispatching in the unit time.
The invention aims to realize the following steps:
the invention relates to a method for accessing an energy storage type charging station of an electric vehicle into a virtual power plant, which is characterized in that an electric energy dispatching operation mode of an electric energy supply and demand relation network system is designed and dispatching is implemented based on an output model, a demand response strategy, an electric energy balance equation and constraint conditions of the electric energy supply and demand relation network system by taking an objective function of the electric energy supply and demand relation network system as a target; therefore, the dynamic operation characteristics of renewable energy sources are considered, the virtual power plant technology is combined, physical energy storage equipment is integrated, and better energy distribution is performed on a user side by means of a demand response strategy, so that the aims of reducing the electric quantity abandoned by the renewable energy source power generation and the output ratio of a thermal power plant are fulfilled.
Drawings
FIG. 1 is a flow chart of a method for accessing an electric vehicle energy storage charging station to a virtual power plant in accordance with the present invention;
FIG. 2 is a block diagram of a system for integrating an electric vehicle energy storage charging station into a virtual power plant based on demand response.
Detailed Description
The following description of the embodiments of the present invention is provided in order to better understand the present invention for those skilled in the art with reference to the accompanying drawings. It is to be expressly noted that in the following description, a detailed description of known functions and designs will be omitted when it may obscure the subject matter of the present invention.
Examples
Fig. 1 is a flowchart of a method for accessing an electric vehicle energy storage charging station to a virtual power plant according to the present invention.
In this embodiment, as shown in fig. 1, the method for accessing an electric vehicle energy storage charging station to a virtual power plant of the present invention includes the following steps:
s1, constructing an output model of the electric energy supply and demand relation network system
In the present embodiment, as shown in fig. 2, the method includes: the system comprises an electric vehicle energy storage type charging station, a wind generating set, a photovoltaic power generation array, a pumped storage power station, a thermal generating set, an electric load unit, an interruptable load unit, an electric vehicle charging load unit and a dispatching center unit;
the system comprises an electric automobile energy storage type charging station, a wind generating set, a photovoltaic power generation array and a pumped storage power station, wherein the electric automobile energy storage type charging station, the wind generating set, the photovoltaic power generation array and the pumped storage power station form a virtual power plant, and are connected with a dispatching center unit in cooperation with a thermal power generating set;
the dispatching center unit is connected with the power load unit, the interruptible load unit and the electric vehicle charging load unit;
the thermal power generating set is a system foundation stable electric energy supply mode, when the electric energy provided by the wind generating set, the photovoltaic power generation array and the planned thermal power generating set is insufficient to meet the real-time electric energy demand of the system, a pumped storage charging station and an electric vehicle energy storage charging station are preferably selected for supplementing the electric energy, and if the electric energy is insufficient, the output power of the thermal power generating set is increased; when the total amount of electric energy required by the redundant electric energy load provided by the wind generating set, the photovoltaic power generation array and the planned thermal power generating set is total, the redundant electric energy is stored in the pumped storage power station and the electric vehicle energy storage type charging station.
With reference to fig. 2, a detailed description is given below of a process for constructing an output model of an electric energy supply-demand relationship network system, specifically:
s1.1, constructing an output model of a wind generating set in an electric energy supply and demand relation network system
WP a (h)＝(1+U 1 (x))*WP e (h)
U 1 (x)＝λ*U(-ε 1 ,ε 1 )
Wherein, WP a (h) Actual output power per hour, WP, of the wind turbine e (h) For the expected hourly power output, U, of the wind energy installation 1 (x) The actual output power error of the wind generating set per hour is represented by lambda which is an error estimation coefficient, U (-epsilon) 1 ,ε 1 ) Is in the interval (-epsilon) 1 ,ε 1 ) Uniform distribution of the components;
in this embodiment, the interval (- ε) 1 ,ε 1 ) Has a value range of (-0.25,0.25) and lambda of 0.1, then U 1 (x) Satisfies the following conditions:
s1.2, building a photovoltaic power generation array output model in the electric energy supply and demand relation network system
Wherein PV a (h) Actual hourly output power, PV, of a photovoltaic power generation array e (h) Expected output power per hour, U, for a photovoltaic power generation array 2 (x) Is the actual output power error of the photovoltaic power generation array per hour, U (-epsilon) 2 ,ε 2 ) Is in the interval (-epsilon) 2 ,ε 2 ) Uniform distribution of the components;
in this embodiment, the interval (- ε) 2 ,ε 2 ) Has a value range of (-0.15,0.15) and lambda of 0.1, then U 2 (x) Satisfies the following conditions:
s1.3, constructing a charging load unit model of the electric automobile in the electric energy supply and demand relation network system
EV a (h)＝(1+U 4 (x))*EV e (h)
U 3 (x)＝λ*U(-ε 3 ,ε 3 )
Wherein, EV a (h) Charging an electric vehicle with a model of the load cell's actual output power per hour, EV e (h) Expected output power per hour, U, for charging an electric vehicle load cell model 3 (x) Charging load unit for electric vehicleModel expected load power error per hour, U (- ε) 3 ,ε 3 ) Is in the interval (-epsilon) 3 ,ε 3 ) Uniformly distributed;
in this embodiment, the interval (- ε) 3 ,ε 3 ) Has a value range of (-0.15,0.15) and lambda of 0.1, then U 3 (x) Satisfies the following conditions:
s1.4, constructing an electric energy load model of an electric load unit in an electric energy supply and demand relation network system
CL a (h)＝(1+U 3 (x))*CL e (h)
U 4 (x)＝λ*U(-ε 4 ,ε 4 )
Wherein, CL a (h) Actual load Power per hour, CL, of the Electrical load cell model e (h) For the expected load power per hour, U, of the electrical load cell model 4 (x) For the expected load power error per hour of the electrical load unit model, U (-epsilon) 4 ,ε 4 ) Is in the interval (-epsilon) 4 ,ε 4 ) Uniformly distributed;
in this embodiment, the interval (- ε) 4 ,ε 4 ) Has a value range of (-0.1,0.1) and lambda of 0.1, then U 4 (x) Satisfies the following conditions:
s1.5, constructing an electric vehicle energy storage type charging station model in an electric energy supply and demand relation network system
Setting rated maximum energy storage electric quantity of electric vehicle energy storage type charging station as EVS R The hourly electric energy storage quantity of the electric vehicle energy storage type charging station is EVS i (h) And consumption as EVS r (h) And the residual available stored electric quantity EVS of the energy storage type charging station of the electric automobile after the lapse of each hour a (h)；
S1.6, constructing a pumped storage hydropower station model in the electric energy supply and demand relation network system;
water-storage hydroelectric installationRated maximum energy storage capacity of station is PSP R Water pumping generator group G 5 Maximum electrical energy storage per hour is PSP i (h) (ii) a Generator set G 6 Maximum power consumption per hour PSP r (h) PSP (power supply system) of residual available storage electric quantity of pumped storage hydropower station after passing of each hour a (h)；
S1.7, constructing a model of the thermal power generation unit in the electric energy supply and demand relation network system
Wherein, TP e (h) Generator set G for indicating main load in thermal generator set 1 ,G 2 ,G 3 Predicted total power output per hour, TP a (h) Generator set G for indicating main load in thermal generator set 1 ,G 2 ,G 3 The sum of the actual output power per hour,
respectively represent G 1 ,G 2 ,G 3 Actual power output per hour;
g is set as interruptible load generator set in thermal generator set 4 ，G 4 Actual power output per hour DG a (h) Predicting the output power as DG e (h)；
In this embodiment, two independent thermal power generating units are set, and the main load generating unit thereof is G 1 ,G 2 ,G 3 The interruptible load generator set is G 4 (ii) a The pumped-water generator set in the pumped-water energy-storage hydropower station is G 5 The generator set is G 6 ；
Above G 1 ～G 6 There are constraints corresponding to maximum output power, minimum output power, ramp rate, start-stop time, etc., as shown in table 1.
TABLE 1
S2, constructing demand response strategy of electric energy supply and demand relation network system
Wherein, EEV DR (h) Actual hourly load, P, obtained for charging an electric vehicle load cell after a demand response strategy EVS Feedback coefficient, P, for electric energy reserve changes of an electric vehicle energy storage charging station PSP EEV (EEV) (h) is feedback coefficient of change of electric energy storage of pumped storage power station, and is error amount of electric load per hour, PEV, obtained by electric vehicle charging load unit without demand response strategy DR Feedback factor for demand response of charging load unit of electric vehicle, proportional abbreviated function F t1 (EEV (h)) is the conversion of EEV (h) to the range of (- π/2, π/2); ECL DR (h) ECL (h) is the actual hourly load obtained by the electric load unit after passing through the demand response strategy, and is the hourly electric load error obtained by the electric load unit without passing through the demand response strategy, PCL DR Proportional abbreviation function F for demand response feedback coefficient of electric load unit t2 (ECL (h)) is a conversion of ECL (h) to the range of (- π/2, π/2);
s3, constructing two load quantity equations with and without the demand response strategy
Wherein, EV DR (h +1) is the actual electric vehicle charging load unit load at the next moment after the demand response strategy is adopted, EV no_DR (h +1) is the actual load capacity of the electric vehicle charging load unit at the next moment after the demand response strategy is not adopted; CL DR (h +1) is the actual load capacity of the electrical load unit, CL, at the next moment after the demand response strategy is adopted no_DR (h +1) is actually used after the demand response strategy is not adoptedElectrical load cell load capacity;
s4, constructing an electric energy balance equation of the electric energy supply and demand relation network system
Wherein TE (h) is the sum of the power of the electric quantity counted by the dispatching center unit in each hour, TL (h) is the sum of the power of the electric quantity output by the dispatching center unit in each hour, SE (h) is the actual electric power hot standby capacity output in each hour, and IL a (h) Represents the actual load amount of interruptible load per hour, ae (h) is the actual power drain per hour; CL DR (h) In order to adopt actual load capacity of the electric load unit at the current moment after a demand response strategy is adopted, EV DR (h) The actual load capacity of the charging load unit of the electric automobile at the current moment after a demand response strategy is adopted;
s5, constructing an objective function of the electric energy supply and demand relation network system
Wherein eta is 1 The smaller the value of the ratio of the sum of the actual generated energy of the thermal generator set to the sum of the planned generated energy, the more the output occupation ratio of the thermal power generation is reduced; eta 2 The ratio of the sum of the actual surplus power generation amount of the wind power generation and the photovoltaic power generation to the sum of the actual abandoned power generation amount is represented, and the smaller the value of the ratio is, the more the abandoned power amount of the wind power generation and the photovoltaic power generation is reduced;
s6, according to the balance of power supply and demand, constructing the constraint condition of the power supply and demand relation network system
Wherein IL e (h) An expected load capacity for interruptible load units per hour;
s7, designing an electric energy scheduling operation mode of the electric energy supply and demand relation network system based on an output model, a demand response strategy, an electric energy balance equation and constraint conditions of the electric energy supply and demand relation network system by taking a target function of the electric energy supply and demand relation network system as a target;
s7.1, calculating WP a (h)+PV a (h)+TP a (h) And then judging whether the sum is less than EV a (h)+CL a (h) (ii) a If yes, go to step S7.2, otherwise go to step S7.7;
s7.2, supplying the electric energy stored in the electric automobile energy storage type charging station and the electric energy stored in the pumped storage power station to an electric energy supply and demand relationship network system, judging whether the electric energy stored in the electric automobile energy storage type charging station and the electric energy stored in the pumped storage power station are enough to supplement the electric energy lacking in the electric energy supply and demand relationship network system, if not, entering a step S7.3, otherwise, entering a step S7.6;
s7.3, the interruptible load power station cuts off power supply connection with the interruptible load, and then the interruptible load power station is accessed into an electric energy supply and demand relation network system to supplement the power shortage, if the maximum output of the interruptible load power station is still insufficient to provide the power shortage, the step S7.4 is executed, and otherwise, the step S7.5 is executed;
s7.4, in the next unit time, improving the planned power generation amount of the main load thermal generator set, and finishing the scheduling in the unit time;
s7.5, providing the remaining output of the interruptible load generator set for the interruptible load, and finishing scheduling in the unit time;
s7.6, providing all the output of the interruptible load generator set for interruptible loads;
s7.7, supplying the excess electric energy to an interruptible load unit, judging whether additional electric energy is needed, if so, entering a step S7.8, otherwise, entering a step S7.9;
s7.8, providing the needed residual electric energy for the interruptible load unit by the interruptible load generator set, and finishing scheduling in the unit time;
and S7.9, storing the rest unconsumed electric energy in the electric vehicle energy storage type charging station and the pumped storage type charging station in sequence, and finishing the dispatching in the unit time.
Although the illustrative embodiments of the present invention have been described in order to facilitate those skilled in the art to understand the present invention, it is to be understood that the present invention is not limited to the scope of the embodiments, and that various changes may be made apparent to those skilled in the art as long as they are within the spirit and scope of the present invention as defined and defined in the appended claims, and all matters of the invention using the inventive concepts are protected.
Claims (1)
1. A method for connecting an electric vehicle energy storage type charging station to a virtual power plant is characterized by comprising the following steps:
(1) and constructing a power output model of the electric energy supply and demand relation network system
(1.1) constructing an output model of the wind generating set in the electric energy supply and demand relation network system
WP a (h)＝(1+U 1 (x))*WP e (h)
U 1 (x)＝λ*U(-ε 1 ,ε 1 )
Wherein, WP a (h) Actual output power per hour, WP, of the wind turbine e (h) For the expected output power per hour, U, of a wind turbine 1 (x) The actual output power error of the wind generating set per hour is represented by lambda which is an error estimation coefficient, U (-epsilon) 1 ,ε 1 ) Is in the interval (-epsilon) 1 ,ε 1 ) Uniformly distributed;
(1.2) building photovoltaic power generation array output model in electric energy supply and demand relation network system
Wherein PV a (h) Actual hourly output power, PV, of a photovoltaic power generation array e (h) For the expected output power per hour of the photovoltaic power generation array, U 2 (x) Is the actual output power error of the photovoltaic power generation array per hour, U (-epsilon) 2 ,ε 2 ) Is in the interval (-epsilon) 2 ,ε 2 ) Uniform distribution of the components;
(1.3) constructing an electric vehicle charging load unit model in an electric energy supply and demand relation network system
EV a (h)＝(1+U 3 (x))*EV e (h)
U 3 (x)＝λ*U(-ε 3 ,ε 3 )
Wherein, EV a (h) Charging an electric vehicle with a model of the load cell's actual output power per hour, EV e (h) Expected output power per hour, U, for charging an electric vehicle load cell model 3 (x) Load unit model charging for electric vehicle expected load power error per hour, U (-epsilon) 3 ,ε 3 ) Is in the interval (-epsilon) 3 ,ε 3 ) Uniform distribution of the components;
(1.4) constructing an electric energy load model of an electric load unit in an electric energy supply and demand relation network system
CL a (h)＝(1+U 4 (x))*CL e (h)
U 4 (x)＝λ*U(-ε 4 ,ε 4 )
Wherein, CL a (h) Actual load power per hour, CL, of the electrical load cell model e (h) For the expected load power per hour, U, of the electrical load cell model 4 (x) For the expected load power error per hour of the electrical load unit model, U (-epsilon) 4 ,ε 4 ) Is in the interval (-epsilon) 4 ,ε 4 ) Uniform distribution of the components;
(1.5) constructing an electric vehicle energy storage type charging station model in an electric energy supply and demand relation network system
Setting rated maximum energy storage electric quantity of electric vehicle energy storage type charging station as EVS R The hourly electric energy storage quantity of the electric vehicle energy storage type charging station is EVS i (h) And consumption as EVS r (h) And the residual available stored electric quantity EVS of the energy storage type charging station of the electric automobile after the lapse of each hour a (h)；
(1.6) constructing a pumped storage hydropower station model in the electric energy supply and demand relation network system;
setting the rated maximum energy storage capacity of the pumped storage hydropower station as PSP R Water pumping generator group G 5 Maximum electrical energy storage per hour of PSP i (h) (ii) a Generator set G 6 Maximum power consumption per hour PSP r (h) And the residual available storage electric quantity PSP of the pumped storage hydropower station after each hour passes a (h)；
(1.7) constructing a model of the thermal power generation unit in the electric energy supply and demand relation network system
Wherein, TP e (h) Generator set G for indicating main load in thermal generator set 1 ,G 2 ,G 3 Predicted total power output per hour, TP a (h) Generator set G for indicating main load in thermal generator set 1 ,G 2 ,G 3 The sum of the actual output power per hour,
each represents G 1 ,G 2 ,G 3 Actual power output per hour;
the interruptible load generator set in the thermal generator set is set as G 4 ，G 4 The actual output power per hour is DG a (h) The predicted output power is DG e (h)；
(2) Demand response strategy for constructing electric energy supply and demand relation network system
Wherein, EEV DR (h) Actual hourly load, P, obtained for charging an electric vehicle load cell after a demand response strategy EVS Feedback coefficient, P, for electric energy reserve change of an electric vehicle energy storage charging station PSP Power station electrical energy reserve change for pumped storageEEV (h) is the error amount of the electric load per hour, PEV, obtained by the charging load unit of the electric vehicle without a demand response strategy DR Feedback factor for demand response of charging load unit of electric vehicle, proportional abbreviated function F t1 (EEV (h)) is the conversion of EEV (h) to the range of (- π/2, π/2); ECL DR (h) ECL (h) is the actual hourly load obtained by the electric load unit after passing through the demand response strategy, and is the hourly electric load error obtained by the electric load unit without passing through the demand response strategy, PCL DR Proportional abbreviated function F for demand response feedback factor of electric load unit t2 (ECL (h)) is a conversion of ECL (h) to the range of (- π/2, π/2);
(3) constructing two load equations with and without demand response strategy
Wherein, EV DR (h +1) is the actual electric vehicle charging load unit load at the next moment after the demand response strategy is adopted, EV no_DR (h +1) is the actual load capacity of the electric vehicle charging load unit at the next moment after the demand response strategy is not adopted; CL DR (h +1) is the actual load capacity of the electrical load unit, CL, at the next moment after the demand response strategy is adopted no_DR (h +1) is the actual load capacity of the electric load unit after the demand response strategy is not adopted;
(4) electric energy balance equation for constructing electric energy supply and demand relation network system
Wherein TE (h) is the sum of the power of the electric quantity counted by the dispatching center unit in each hour, TL (h) is the sum of the power of the electric quantity output by the dispatching center unit in each hour, SE (h) is the actual electric power hot standby capacity output in each hour, and IL a (h) Representing the actual load of an interruptible load in each hourAmount, ae (h) is the actual amount of electricity discarded per hour; CL DR (h) The actual load capacity of the electric load unit at the current moment after the demand response strategy is adopted, namely EV DR (h) The actual load capacity of the charging load unit of the electric automobile at the current moment after a demand response strategy is adopted;
(5) and constructing an objective function of the electric energy supply and demand relation network system
Wherein eta is 1 The ratio of the sum of the actual power generation amount of the thermal generator set to the sum of the planned power generation amount is represented; eta 2 The ratio of the sum of actual surplus power generation and the sum of actual abandoned power generation of wind power generation and photovoltaic power generation is represented;
(6) according to the balance of the power supply and demand, constructing the constraint condition of the electric energy supply and demand relation network system
Wherein IL is e (h) An expected load capacity for interruptible load units per hour;
(7) designing an electric energy scheduling operation mode of the electric energy supply and demand relation network system based on an output model, a demand response strategy, an electric energy balance equation and constraint conditions of the electric energy supply and demand relation network system by taking a target function of the electric energy supply and demand relation network system as a target;
(7.1) calculation of WP a (h)+PV a (h)+TP a (h) And then judging whether the sum is less than EV a (h)+CL a (h) (ii) a If yes, entering step (7.2), otherwise entering step (7.7);
(7.2) supplying the electric energy stored in the electric automobile energy storage type charging station and the electric energy stored in the pumped storage power station to an electric energy supply and demand relationship network system, judging whether the electric energy stored in the electric automobile energy storage type charging station and the electric energy stored in the pumped storage power station are enough to supplement the electric energy lacking in the electric energy supply and demand relationship network system, if not, entering the step (7.3), otherwise, entering the step (7.6);
(7.3) the interruptible load power station cuts off the power supply connection with the interruptible load, and then the interruptible load power station is accessed to the electric energy supply and demand relationship network system to supplement the power shortage, if the maximum output of the interruptible load power station is still insufficient to provide the power shortage, the step (7.4) is carried out, and if the maximum output of the interruptible load power station is not enough, the step (7.5) is carried out;
(7.4) in the next unit time, improving the planned power generation amount of the main load thermal generator set, and finishing the scheduling in the unit time;
(7.5) providing the remaining output of the interruptible load generator set for the interruptible load, and finishing scheduling in the unit time;
(7.6) providing all the output of the interruptible load generator set to the interruptible load;
(7.7) supplying the excess electric energy to the interruptible load unit, judging whether additional electric energy is needed, and if so, entering a step (7.8), otherwise, entering a step (7.9);
(7.8) providing the needed residual electric energy for the interruptible load unit by the interruptible load generator set, and finishing scheduling in the unit time;
and (7.9) storing the residual unconsumed electric energy in the electric vehicle energy storage type charging station and the pumped storage type charging station in sequence, and finishing the scheduling in the unit time.
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