AU2020103444A4 - Evaluation method of electric vehicle aggregation transaction value based on the new generation power trade platform - Google Patents
Evaluation method of electric vehicle aggregation transaction value based on the new generation power trade platform 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
- H02J3/28—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
- H02J3/322—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means the battery being on-board an electric or hybrid vehicle, e.g. vehicle to grid arrangements [V2G], power aggregation, use of the battery for network load balancing, coordinated or cooperative battery charging
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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
- H02J3/144—Demand-response operation of the power transmission or distribution network
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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
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/007—Regulation of charging or discharging current or voltage
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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
- H02J1/00—Circuit arrangements for dc mains or dc distribution networks
- H02J1/02—Arrangements for reducing harmonics or ripples
-
- 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
- H02J3/18—Arrangements for adjusting, eliminating or compensating reactive power in networks
-
- 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
- H02J3/24—Arrangements for preventing or reducing oscillations of power in networks
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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
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/30—Reactive power compensation
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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
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/40—Arrangements for reducing harmonics
-
- 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
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E70/00—Other energy conversion or management systems reducing GHG emissions
- Y02E70/30—Systems combining energy storage with energy generation of non-fossil origin
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Abstract
The invention relates to an evaluation method of electric vehicle aggregation transaction value
based on an electric power trade platform, which comprises the following steps. Step 1, based
on the perspective of electric vehicle aggregator, the value exchange relationship of multi-agent
in the aggregation system is analyzed, and relevant data are collected; step 2, based on the data
collected in step 1, the multi-agent value acquisition path under the aggregation mode is
analyzed, and the cost and income of each subject are measured when the electric vehicle
aggregator trades with the power grid, renewable energy power producer, auxiliary service
market and electric vehicle users; and step 3, According to the multi-agent value acquisition
path under the aggregation mode, the revenue of each subject with and without aggregator
participating in the electricity market transaction is compared, and then the value of electric
vehicle load aggregator participating in the market transaction is evaluated. The invention can
determine the aggregation transaction value of the electric vehicle.
1 / 1
Electric
vehicle load
aggregator
0 Cost and Income Analysis
eRenewable Auxiliary Electric Power grid energy power service vehicle user
producer market
Comparison of the Revenue
Situation of the Subject with and
without Aggregator
Figure 1
Description
1 / 1
Electric vehicle load aggregator
Cost and Income Analysis
eRenewable Auxiliary Electric Power grid energy power service vehicle user producer market
Comparison of the Revenue Situation of the Subject with and without Aggregator
Figure 1
Evaluation method of electric vehicle aggregation transaction value based on the
new generation power trade platform
[01] The invention belongs to the technical field of power system operation, and relates to an evaluation method of electric vehicle aggregation transaction value, in particular to an evaluation method of electric vehicle aggregation transaction value based on an electric power trade platform.
[02] With the large-scale grid connection of clean energy sources such as wind power, photovoltaic and the like, a large amount of standby or adjustable resources are required to participate in auxiliary peak regulation service for intermittent output so as to better support green power dissipation. The new generation power trading platform covers green electricity trading related modules, and the demand side resources represented by the electric vehicle participate in power market aggregation trading, so that a large amount of adjustable resources are provided for the power system, and the contradiction of balanced operation of the system is relieved.
[03] A large number of electric vehicles are dispersedly connected into the power grid, and the load characteristics of the electric vehicles cause a great negative influence on the safe and stable operation of the system, such as harmonic generation and load peak valley difference increases because of peak superposition, network loss and increased operation and control difficulty. As individual electric vehicles are not suitable for independent participation in the electricity wholesale market, Only by introducing aggregator as middlemen to aggregate the demand side resources of electric vehicles, taking advantage of the flexible and adjustable load characteristics of electric vehicles, with the help of orderly charging and discharging coordination technology, the operation mode of the whole power grid is optimized through the interactive form of load following source, so as to achieve the capacity threshold for participating in market regulation and give priority to the consumption of surplus renewable energy.
[04] In the new generation of electricity trading platform, the electric vehicle demand side resources are aggregated to participate in the electricity market transaction, which will effectively reduce the operation cost of the generation side, consume and absorb the low-cost surplus renewable energy, and bring more incremental benefits to the trading entities. However, there is no in-depth study on the value of electric vehicle aggregation trading in China.
[05] The invention aims to overcome the defects of the prior art, and provides an evaluation method of electric vehicle aggregation transaction value based on an electric power trade platform, which can fully consider the value creation path of the stakeholders in each node of electric vehicle aggregation value, namely, electric vehicle users, electric vehicle aggregation operators, power grid, renewable energy power producers, etc., to determine the value of electric vehicle aggregation transaction
[06] The invention solves the practical problem by adopting the following technical scheme:
[07] The invention relates to an evaluation method of electric vehicle aggregation transaction value based on an electric power trade platform, which comprises the following steps:
[08] Step 1, based on the perspective of electric vehicle aggregator, the value exchange relationship of multi-agent in the aggregation system is analyzed, and relevant data are collected
[09] Step 2, based on the data collected in step 1, the multi-agent value acquisition path under the aggregation mode is analyzed, and the cost and income of each subject are measured when the electric vehicle aggregator trades with the power grid, renewable energy power producer, auxiliary service market and electric vehicle users;
[010] Step 3, According to the multi-agent value acquisition path under the aggregation mode, the revenue of each subject with and without aggregator participating in the electricity market transaction is compared, and then the value of electric vehicle load aggregator participating in the market transaction is evaluated.
[011] Moreover, the data collected in the step 1 comprises the total power consumption of the electric vehicles per day, the purchase power quantity from power grid, renewable energy power generator and auxiliary service market by load aggregator, the loss rate of the network, the electricity price on the network, the selling electricity price, the dispatching reduction quantity, the dispatching reduction market compensation coefficient, the spot market price, the energy dissipation coefficient of light voltage and wind energy promotion by load aggregation, power generation, electricity sales, generation cost, electricity price, peak load clearing price of wind and solar, charging capacity, charging service charge and charging electricity charge of electric vehicle users.
[012] Moreover, the specific steps of the step 2 comprise:
[013] (1) Based on the data collected in step 1, the multi-agent value acquisition path under the aggregation mode is analyzed, and the cost and income of both parties are calculated when the electric vehicle aggregator and the power grid trade in the electricity market;
[014] (2) The cost and income of renewable energy generation companies and electric vehicle aggregator in electricity market transaction are calculated;
[015] And (3) the cost and income of electric vehicle users and electric vehicle aggregator in electricity market transaction are calculated;
[016] In addition, the step (1) of the step 2 comprises the following specific steps:
[017] ©The income of power grid when the load aggregator participates in the electricity market is calculated.
p ~Z~d p~
[018] d=1
[019] @9The cost of power grid when the load aggregator participates in the electricity market is calculated.
c, = P - PaQd x
[020] -1
[021] After the load aggregator organizes electric vehicle users to participate in electricity market trading, it can cut peak load and fill valley, reduce market cost by about 8%, reduce investment and operation cost of power grid, and improve security and stability of power grid.
[022] @ The income of the load aggregator is calculated:
[023] d=1
[024] @ The cost of the load aggregator is calculated:
[025] Where, I, is electricity sales revenue of power grid; Qp,d I p,d are the
transaction volume and cost between the aggregator and the power grid on the day d
respectively; D is the total number of days; C, is the cost of electricity purchased by the
power grid from the power plant; Pd represents the electricity price on grid; Q refers
to the on grid power supply to the aggregator on the day d. Because the factor of
network loss should be considered, so g = QdP , co represents the network loss rate; (1-co) 2 hc is the compensation coefficient, Pj is the spot market price, Q, is the dispatching reduction of a certain load level. In addition, the step (2) of step 2 comprises the following specific steps:
[026] ©The income of renewable energy power producers is calculated:
[027] The new energy consumption is improved:
[028] 12 =LL t x a,,Q, t-1 r-=1
[029] @The electricity sales revenue is calculated:
[030] 2 R
[031] @ The power generation cost of the renewable energy power producer is
calculated, when the aggregator trades with renewable energy power producer, wherein the renewable energy power producer comprises the following components in percentage by weight:
[032] C2 == P$4xQ, t=1 r=1
[033] Where, I2is the income from improving renewable energy consumption;
1is the electricity sales revenue of renewable energy power producer; R is the kind of
new energy for power generation; C 2 the total power generation cost of renewable
energy producer; 1, is the power generation cost of the new energy r at time t; arQ,
is the amount of new energy r consumed at time t; wherein 0 at,, 1, Q,, represents
the electricity quantity of the r new energy required at time t, is the electricity price of new energy r at time t.
[034] In addition, the step (3) of the step 2 comprises the following specific steps:
[035] (D The charging electricity charge and the service charge of the electric
vehicle are calculated:
24 13= P' (p, t
[036] t=1
[037] P,(t) P,(t)+p,
[038] @ The transaction cost of the aggregator (the power selling company) and
the electric vehicle user is calculated:
[039] C3 =,+C+Cg
[040] C,=Crid±+CNECsvice
[041] Where, 13 is the aggregator's revenue, P,(t) is the charging power of
electric vehicles in time t; p(t)is the charging charge of electric vehicles set by the aggregator in time t; p,(t)is the electricity charge for charging of electric vehicles set by the aggregator in time t; pis the charging service charge for electric vehicles; C3 is the service cost of the aggregator; Cg is the cost of electricity purchase; C, is the operation and maintenance cost of charging pile; C, is other costs; Cgrid is the cost of purchasing electricity from the power grid; CNE is the cost of purchasing electricity from the new energy power producer; Csi, is the cost of purchasing electricity from the ancillary service market.
[042] The invention has the advantages and beneficial effects that:
[043] The invention provides an evaluation method of electric vehicle aggregation transaction value based on an electric power trade platform aiming at the value evaluation problem of electric vehicle demand side resources participating in green power consumption after aggregation mentioned in background technology. This method fully considers the value creation path of stakeholders at each node of electric vehicle aggregation value to determine the electric vehicle aggregate transaction value. That is, the value creation path of electric vehicle users, electric vehicle aggregation operators, power grids, renewable energy power producers, etc.
[044] Figure 1 is a flowchart of an electric vehicle aggregation transaction value evaluation method according to the present invention.
[045] Embodiments of the present invention are described in further detail below with reference to the accompanying drawings:
[046] The invention relates to an evaluation method of electric vehicle aggregation transaction value based on an electric power trade platform, which is shown in Figure 1 and comprises the following steps:
[047] Step 1, based on the perspective of electric vehicle aggregator, the value exchange relationship of multi-agent in the aggregation system is analyzed, and relevant data are collected;
[048] The data collected in the step 1 comprises the total power consumption of the electric vehicles per day, the purchase power quantity from power grid, renewable energy power generator and auxiliary service market by load aggregator, the loss rate of the network, the electricity price on the network, the selling electricity price, the dispatching reduction quantity, the dispatching reduction market compensation coefficient, the spot market price, the energy dissipation coefficient of light voltage and wind energy promotion by load aggregation, power generation, electricity sales, generation cost, electricity price, peak load clearing price of wind and solar, charging capacity, charging service charge and charging electricity charge of electric vehicle users.
[049] Step 2, based on the data collected in step 1, the multi-agent value acquisition path under the aggregation mode is analyzed, and the cost and income of each subject are measured when the electric vehicle aggregator trades with the power grid, renewable energy power producer, auxiliary service market and electric vehicle users;
[050] The step 2 comprises the following specific steps:
[051] (1) Based on the data collected in step 1, the multi-agent value acquisition path under the aggregation mode is analyzed, and the cost and income of both parties are calculated when the electric vehicle aggregator and the power grid trade in the electricity market;
[052] The step (1) of the step 2 comprises the following specific steps:
[053] ©The income of power grid when the load aggregator participates in the
electricity market is calculated, namely, electricity sales revenue.
p~Q~d p~
[054] d=1
[055] The cost of power grid when the load aggregator participates in the
electricity market is calculated, namely, electricity purchase cost.
C, = -P X Q,
[056] d=1
[057] After the load aggregator organizes electric vehicle users to participate in electricity market trading, it can cut peak load and fill valley, reduce market cost by about 8%, reduce investment and operation cost of power grid, and improve security and stability of power grid.
[058] @ The income of the load aggregator is calculated, namely, market compensation.
[059] d=1
[060] @ The cost of the load aggregator is calculated (the value of which is equal to the electricity sales revenue of the power grid)
[061] Where, I, is electricity sales revenue of power grid; Qpd I p,d are the
transaction volume and cost between the aggregator and the power grid on the day d respectively; D is the total number of days; C1 is the cost of electricity purchased by
the power grid from the power plant; Pd represents the electricity price on grid; QP refers to the on grid power supply to the aggregator on the day d. Because the factor of
network loss should be considered, so Q - -P , co represents the network loss rate; (1-co) 2 hc is the compensation coefficient, P, is the spot market price, Q, is the dispatching reduction of a certain load level.
[062] (2) The cost and income of renewable energy generation companies and electric vehicle aggregator in electricity market transaction are calculated;
[063] In addition, the step (2) of step 2 comprises the following specific steps:
[064] ©The income of renewable energy power producers is calculated:
[065] The new energy consumption is improved:
[066] 12 = LL x a,,Q, th1 ri1
[067] ~The electricity sales revenue is calculated:
[068]
[069] @ The power generation cost of the renewable energy power producer is calculated, when the aggregator trades with renewable energy power producer, wherein the renewable energy power producer comprises the following components in percentage by weight:
[070] C2 =Z P,rxQ, t=1 r=
[071] Where, 12 is the income from improving renewable energy consumption;
12 is the electricity sales revenue of renewable energy power producer; R is the kind of
new energy for power generation; C 2 the total power generation cost of renewable energy producer; P, is the power generation cost of the new energy r at time t; a,,Q,
is the amount of new energy r consumed at time t; wherein 0<! a,, 1, Q,, represents
the electricity quantity of the r new energy required at time t, is the electricity price of new energy r at time t.
[072] And (3) the cost and income of electric vehicle users and electric vehicle aggregator in electricity market transaction are calculated.
[073] The user entrusts the electric vehicle aggregation operator to participate in the market, thereby not only reducing the power consumption cost, but also obtaining the value-added service which meets the power consumption requirement. The income of the user transaction between the aggregator and the electric vehicle mainly comes from the charging electricity charge and the service charge of the electric vehicle:
[074] The step (3) of the step 2 comprises the following specific steps:
[075] (D The charging electricity charge and the service charge of the electric automobile are calculated.
24
[076] t=1
[077] p, (t)= P,(t)+ p,
[078] @ The transaction cost of the aggregator (the power selling company) and
the electric vehicle user is calculated.
[079] C3 =Cy+Cq+Cg
[080] Cg=Cid+CNE+Cseice
[081] Where, 13 is the aggregator's revenue, P,(t) is the charging power of
electric vehicles in time t; pC(t) is the charging charge of electric vehicles set by the
aggregator in time t; p,(t) is the electricity charge for charging of electric vehicles set
by the aggregator in time t; p, is the charging service charge for electric vehicles; C3
is the service cost of the aggregator; Cg is the cost of electricity purchase; C, is the
operation and maintenance cost of charging pile; C, is other costs; Cgrid is the cost of
purchasing electricity from the power grid; CNE is the cost of purchasing electricity
from the new energy power producer; C,,,i, is the cost of purchasing electricity from
the ancillary service market.
[082] And 3, The income of each main body with or without the aggregator participating in the electric power market transaction according to the multi-main body value acquisition path under the aggregation mode is compared to further evaluate the value of the electric vehicle load aggregator participating in the market transaction.
[083] An embodiment of the present invention will be further described through a specific calculation example.
[084] The operation situation of some electric vehicle load aggregators in June 30 in a certain region of China is selected as the calculation case, wherein the general electric vehicle is divided into passenger vehicle and commercial vehicle. The passenger vehicle is the general car, and the commercial vehicle is mainly the vehicle of a vehicle company. More specifically, the passenger car can be divided into the private car, public service car and taxi. The commercial car can be divided into the passenger car (bus) and special car (sprinkler car and sanitation car). According to the daily travel length habit of different types of the vehicle, the average daily travel kilometers and the power consumption can be obtained, and the average daily travel kilometers and the power consumption of different types of the vehicle are shown in Table 1:
[085] Table 1 Power consumption for different types of the vehicle
Vehicle type Quantity Kilomete onumption
Private Car (500) 35 km 6 kW-h Passenger car Taxi (100) 500 km 85 kW-h Business Car (100) 50 km 8.5 kW-h Passenger car (bus) (50) 200 km 240 kW-h Commercial vehicle Special vehicle (sprinkler, sanitation vehicle) 50 km 60 kW-h (30)
[086] When aggregating electric vehicle users to participate in the transaction, % of the total electricity required by electric vehicle users comes from the grid, 20% from renewable energy power producer, and 25% from auxiliary service market. In the electricity market, the net price is 415.3 yuan per MW-h, the net loss is 0.023. The sales price is calculated according to the time. The sales price at the peak period (8:00-11:00, 18:00-23:00) is 780 yuan per MW-h, at the average section (7:00-8:00, 11:00-18:00) is 540 yuan per MW-h, and at the low period (23:00-7:00) is 438.6 yuan per MW-h. After the load aggregator organizes electric vehicle users to participate in electricity market trading, it can cut peak load and fill valley, reduce market cost by about 8%, reduce investment and operation cost of power grid, and improve security and stability of power grid. After comprehensive allocation, the cost of the power grid in June is reduced by about 40,000 yuan. The trading situation of electricity market is shown in Table 2
[087] Table 2 Trading situation of electricity market
Sales Price Power on Electricity Price Sales Price Da Week Total Power Consumption of Electricity consumption gird On grid (with (No te Properties Electric Vehicle (MW. . h) (MWh) Aggregator (MW.lh) (yuan/MW. h) Aggregator)
) 1 1 33.80 18.59 19.03 7902.18 10958.81 11865.47
2 2 30.80 16.94 17.34 7200.80 9986.13 10812.32
3 3 29.5 16.23 16.61 6896.87 9564.64 10355.95
4 4 30 16.50 16.89 7013.77 9726.75 10531.48
2 28.3 15.57 15.93 6616.32 9175.57 9934.69
[088] The load aggregator can timely and effectively respond to the power grid requirement by aggregating the electric quantity of the electric vehicle user in the electric quantity transaction process, plays the roles of dispatching reduction, peak clipping and valley filling, and can obtain a certain proportion of market compensation.
The compensation coefficient is as follows Abc =1.005, the compensation conditions are shown in Table 3:
[089] Table 3 Market compensation of load aggregator
Dispatch Dispatch Spot market price Date reduction (MW. (yuan/MW. h) Compensation income h)(yaMWh 1 2.72 589.5 1610.41 2 2.48 589.5 1467.47 3 2.37 589.5 1405.54 4 2.41 589.5 1429.36 5 2.54 589.5 1505.59
30 2.28 589.5 1348.36
[090] When electric vehicle load aggregator trades with renewable energy power producer, the ratio of wind power generation to photovoltaic power generation is 3:1, and the network loss is 0.03. The cost of wind power generation and electricity sales price are the average value of the day, and the proportion of on grid price to sales price is 0.7. The trading situation between electric vehicle load aggregator and renewable energy power producer is shown in Table 4.
[091] Table 4 Trading situation between electric vehicle load aggregator and renewable energy power producer
Energy Energy consumption consumption Total Power coefficient coefficient Week Consumption Electricity Power on enhanced by enhanced by ptical wn Date Properies ofElectric consumption grid photovoltaic wind energy poer poer Vehicle (MW. (MW. h) (MW. h) when aggregators when aggregators gnetion geneaMtion h) are involved are involved
atjl at,2
1 1 33.80 6.76 6.97 0.11 0.17 1.74 5.23 2 2 30.80 6.16 6.35 0.17 0.11 1.59 4.76 3 3 29.5 5.90 6.08 0.12 0.17 1.52 4.56
2 28.30 5.66 5.84 0.16 0.18 1.46 4.38
Sales Sales Cost of Cost of wind Selling price volume of volume of photovoltaic power of~i Selling price of ~. Power Sae photovoltaic wind power generation photovoltaic ind power Incom s generation Sale power power generation (yuan/MW power (yuan/MW. h) consumption cost revenue (MW. h) (MW. h) (yuan/MW. h) h) (Yuan/MW.
1.69 5.07 464.00 500.00 662.86 714.29 533.20 3421.81 4741.66 1.54 4.62 389.00 452.00 555.71 645.71 341.80 2770.41 3839.00 1.48 4.43 524.00 469.00 748.57 670.00 459.33 2936.31 4068.89
1.42 4.25 476 465 680 664.29 477.39 2729.35 3782.09
[092] The trading period of the peak shaving auxiliary service market is 0:45-7:00 and 12:45-16:00. There are 40 time points in these two periods, and the transaction is conducted every 15 minutes. Considering that the amount of electricity accumulated by electric vehicle load aggregator under the current scale is not enough to participate in the peak shaving auxiliary service market in the whole period, the load aggregator will participate in the peak shaving auxiliary service market at the four time points of 19 22. The transaction situation of the peak shaving auxiliary service market is shown in Table 5.
[093] Table 5 Transaction situation of the peak shaving auxiliary service market
Peak Electricity required for peak load Required Peak adjustment and Power generation income of cost of peak tuning regulation when aggregators generation clear price price (yuan/MW. peakload load point participate(MW. h) (MW. h) (yuan/MW. h) h) regulation regulation
1 2.00 2.06 300.00 283.00 599.60 583.11 2 2.50 2.58 300.00 251.00 751.45 648.16
120 1.49 1.54 300.00 257.00 446.99 394.76
[094] When the load aggregator sells electricity to electric vehicle users, its charging fee is composed of two parts, namely charging electricity charge and charging service charge. At different time points, the charging charge of electric vehicles is slightly different. The charging charge by time is shown in Table 6. At this time, the transaction between the aggregator and electric vehicle users is shown in Table 7
[095] Table 6 charging charge by time
Time point 1 2 3 4 5 6 Price (yuan/KW. h) 1.1483 1.1483 1.1483 1.1483 1.1483 1.1483 Time point 7 8 9 10 11 12 Price (yuan/KW. h) 1.4432 1.4432 1.4432 1.7371 1.7371 1.7371 Time point 13 14 15 16 17 18 Price (yuan/KW. h) 1.7371 1.7371 1.7371 1.4432 1.4432 1.4432 Time point 19 20 21 22 23 24 Price (yuan/KW. h) 1.7371 1.7371 1.7371 1.4432 1.4432 1.1483
[096] Table 7 Transaction between the aggregator and electric vehicle users
Time Charge Charging Charging Service charge Charging charge Service Sales Charging poimtpit Amount (KW. h) electricity (yuanIKW. charge h) (yuan/KW. h) (yuan/KW. h) Revenue revenue revenue
1 2110.49 0.4386 0.7097 1.1483 1497.81 925.66 2423.48 2 1231.64 0.4386 0.7097 1.1483 874.10 540.20 1414.29
720 2344.68 0.4386 0.7097 1.1483 1664.02 1028.38 2692.40
[097] According to the transaction situation between the load aggregator and each main body, the cost and income of each main body with and without the aggregator participating in the transaction of the power market is calculated, and the comparison of the cost and income is shown in Table 8.
[098] Table 8 Comparison of the cost and income of each main body
Reneableenegy pwer Peakload Index Power grid Renewableenergy power aton Load aggregator assistance service
83297.12 59828.69 0 Cost No aggregator 197577.81 With aggregator 197577.81 83297.12 59828.69 1048649.04 115426.01 0 0 Income No aggregator 296671.75 With aggregator 274002.55 126733.19 67455.48 1247934.29 32128.89 0 0 Benefits No aggregator 99093.95 With aggregator 116424.74 43436.06 7626.79 199285.25
[099] As can be seen, according to the evaluation method for the aggregation transaction value of the electric vehicle provided by the invention, the cost and income of each main body in the market transaction of the load aggregator are analyzed, and the result shows that each main body in the market obtains the incremental income, wherein the incremental income of the power grid in June is 17,330.8 yuan, the incremental income of the renewable energy power generator is 11,307.18 yuan, the incremental income of the peak load regulation auxiliary service market is 7,626.79 yuan, and the income of the load aggregator in June is 199,285.25 yuan. In general, electric vehicle load aggregator participates in market transactions to benefit from many sides, and the industry itself has a very good development prospect.
[0100] Although the invention has been described with reference to specific examples, it will be appreciated by those skilled in the art that the invention may be embodied in many other forms, in keeping with the broad principles and the spirit of the invention described herein.
[0101] The present invention and the described embodiments specifically include the best method known to the applicant of performing the invention. The present invention and the described preferred embodiments specifically include at least one feature that is industrially applicable
Claims (6)
1. The invention relates to an evaluation method of electric vehicle aggregation transaction value based on an electric power trade platform, which comprises the following steps.
Step 1, based on the perspective of electric vehicle aggregator, the value exchange relationship of multi-agent in the aggregation system is analyzed, and relevant data are collected.
Step 2, based on the data collected in step 1, the multi-agent value acquisition path under the aggregation mode is analyzed, and the cost and income of each subject are measured when the electric vehicle aggregator trades with the power grid, renewable energy power producer, auxiliary service market and electric vehicle users;
Step 3, According to the multi-agent value acquisition path under the aggregation mode, the revenue of each subject with and without aggregator participating in the electricity market transaction is compared, and then the value of electric vehicle load aggregator participating in the market transaction is evaluated.
2. The evaluation method of electric vehicle aggregation transaction value based on an electric power trade platform according to claim 1, wherein the data collected in the step 1 comprises: the total power consumption of the electric vehicles per day, the purchase power quantity from power grid, renewable energy power generator and auxiliary service market by load aggregator, the loss rate of the network, the electricity price on the network, the selling electricity price, the dispatching reduction quantity, the dispatching reduction market compensation coefficient, the spot market price, the energy dissipation coefficient of light voltage and wind energy promotion by load aggregation, power generation, electricity sales, generation cost, electricity price, peak load clearing price of wind and solar, charging capacity, charging service charge and charging electricity charge of electric vehicle users.
3. The evaluation method of electric vehicle aggregation transaction value based on an electric power trade platform according to claim 1, wherein the step 2 comprises the following steps:
(1) Based on the data collected in step 1, the multi-agent value acquisition path under the aggregation mode is analyzed, and the cost and income of both parties are calculated when the electric vehicle aggregator and the power grid trade in the electricity market;
(2) The cost and income of renewable energy generation companies and electric vehicle aggregator in electricity market transaction are calculated;
And (3) the cost and income of electric vehicle user and electric vehicle aggregator in electricity market transaction are calculated;
4. The evaluation method of electric vehicle aggregation transaction value based on an electric power trade platform according to claim 3, wherein the step (1) of the step 2 comprises the following specific steps.
(D The income of power grid when the load aggregator participates in the electricity market is calculated.
D
I11 Q,,d xlP,, d=
@ The cost of power grid when the load aggregator participates in the electricity
market is calculated.
D
C,= 3P x Q"
After the load aggregator organizes electric vehicle users to participate in electricity market trading, it can cut peak load and fill valley, reduce market cost by about 8%, reduce investment and operation cost of power grid, and improve security and stability of power grid.
@ The income of the load aggregator is calculated.
D
[be =$ A1bQiP d=1
@ The cost of the load aggregator is calculated.
Where, It is electricity sales revenue of power grid; Qd, Pp,d are the transaction
volume and cost between the aggregator and the power grid on the day d respectively; D is the total number of days; C1 is the cost of electricity purchased by the power grid
from the power plant; Pd represents the electricity price on grid; Qd, refers to the on
grid power supply to the aggregator on the day d. Because the factor of network loss
should be considered, so =d,P ,w represents the network loss rate; lAb is the dP(1-w)
compensation coefficient, P is the spot market price, Q, is the dispatching reduction
of a certain load level.
5. The evaluation method of electric vehicle aggregation transaction value based on an electric power trade platform according to claim 3. wherein the step (2) of step 2 comprises the following specific steps.
(D The income of renewable energy power generators is calculated.
The new energy consumption is improved.
T R
12 r , r ta' r t=1 r=1
ZThe electricity sales revenue is calculated.
T R
-I pI,, X Ql, t=1 r=1
@ The power generation cost of the renewable energy power producer is calculated, when the aggregator trades with renewable energy power producer, wherein the renewable energy power producer comprises the following components in percentage by weight.
T R
C2 =LIP", ,xaQ, t=1 r=1
Where, 12 is the income from improving renewable energy consumption; I is the electricity sales revenue of renewable energy power producer; R is the kind of new energy for power generation; C 2 the total power generation cost of renewable energy producer; P, is the power generation cost of the new energy r at time t; at,,Q,, is the
amount of new energy r consumed at time t; wherein 0 a,, ! 1, Q,,, represents the
electricity quantity of the r new energy required at time t, is the electricity price of new energy r at time t.
6. The evaluation method of electric vehicle aggregation transaction value based on an electric power trade platform according to claim 3. Wherein the step (3) of step 2 comprises the following specific steps.
(D The charging electricity charge and the service charge of the electric automobile are calculated:
24
13= P,i(t)pC(t)
P (t )=P (t)+p
@ The transaction cost of the aggregator (the power selling company) and the electric vehicle user is calculated:
C3 =C,+C+C
C g = C,, +CNE+ i
Where, 13 is the aggregator's revenue, P,,,(t) is the charging power of electric
vehicles in time t; pc(t) is the charging charge of electric vehicles set by the aggregator in time t; p,(t) is the electricity charge for charging of electric vehicles set by the aggregator in time t; p, is the charging service charge for electric vehicles; C 3 is the service cost of the aggregator; Cg is the cost of electricity purchase; C, istheoperation and maintenance cost of charging pile; Cq isothercosts; Cgrid is the cost of purchasing electricity from the power grid; CNE is the cost of purchasing electricity from the new energy power producer; C,,,,, is the cost of purchasing electricity from the ancillary service market.
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