TW202311077A - A method of managing electric vehicle charging based on blockchain - Google Patents

Abstract

A method of managing electric vehicle charging based on blockchain is implemented by a blockchain system and includes: obtaining a maximum charge and discharge power of each electric vehicle in each time window to be planned; for each electric vehicle, based on the electric vehicle information corresponding to the electric vehicle, at least one purchase price, at least one bid price, and at least one maximum charging and discharging power, obtaining a charge and discharge power of the electric vehicle in each pane to be planned; determining whether there is at least one overloaded time window based on the total power consumption of the charging station at each time window; when it determined that the at least one overloaded time window exists, the purchase price of each overloaded time window being adjusted, and a charging and discharging power of the electric vehicle in each time window being re-planned until it is determined that the at least one overloaded time window does not exist.

Description

Electric vehicle charging station management method using blockchain

The present invention relates to an electric energy management method for an electric vehicle charging station, in particular to a management method for an electric vehicle charging station using a blockchain system to manage the charging and discharging schedule of each electric vehicle.

In response to global warming, car manufacturers in various countries have begun to develop electric vehicles to replace traditional fossil fuel engines. However, the charging status of electric vehicles will be unpredictable due to different user habits. If all electric vehicles are charged at the same time during peak hours of electricity consumption, it may It will cause the peak load to be too high and cause the problem of low backup capacity. In addition, the electricity cost for charging during peak hours is relatively high. Therefore, the power management of electric vehicle charging stations is an urgent problem to be solved.

When the owner parks the electric vehicle at the charging station, the existing electric vehicle charging and discharging scheduling method will establish a charging and discharging strategy for the electric vehicle based on the current state of charge of the electric vehicle, electricity price, expected state of charge, and grid demand. However, the scheduling method is not transparent, and it is impossible to verify whether electric vehicles are actually charged and discharged according to the scheduling results obtained from the scheduling, so it is necessary to propose a solution.

Therefore, the purpose of the present invention is to provide a method for managing electric vehicle charging stations using blockchain that is transparent in scheduling and ensures that the planned scheduling results are used to manage the charging and discharging of electric vehicles.

Therefore, the present invention uses a block chain electric vehicle charging station management method, which is suitable for managing the charging and discharging states of multiple electric vehicles parked at a charging station, and is implemented by a block chain system. The block chain system Including a server, and a plurality of charging piles installed on the charging station and connected to the server through the communication network, each electric vehicle is electrically connected to a corresponding one of the charging piles and corresponds to a piece of electric vehicle information, Each electric vehicle information includes an entry time, a departure time, an entry battery charge state, a current battery charge state, an expected departure battery charge state, and a minimum battery charge state of the corresponding electric vehicle , a maximum battery state of charge, and a full charge capacity, the electric vehicle charging station management method using blockchain includes the following steps:

(A) For each electric vehicle, map the entry time and the departure time of the electric vehicle to at least one of the multiple time panes in a scheduling cycle through the charging pile corresponding to the electric vehicle , and obtain at least one pane to be planned from at least one time pane where the electric vehicle is located, and write it into the distributed ledger of the blockchain system, wherein the at least one pane to be planned corresponding to the electric vehicle The frame system is from a current time pane to the last time pane where the electric vehicle is located;

(B) For each electric vehicle, through the server, through the smart contract in the blockchain system, according to a current time, the departure time of the electric vehicle, the current battery charge state, and the departure battery charge state , the full charge capacity, and the maximum charging and discharging electric power that the charging pile corresponding to the electric vehicle can provide, and obtain a charging priority weight and a discharging priority weight of the electric vehicle in each corresponding pane to be planned;

(C) For each electric vehicle, through the server, through the smart contract in the blockchain system, according to the maximum power of a transformer of the charging station and the charging priority weight and the discharging priority weight of the electric vehicle, the A maximum charging electric power and a maximum discharging electric power of the electric vehicle in each corresponding pane to be planned, and write it into the distributed ledger of the blockchain system;

(D) For each electric vehicle, use the charging pile corresponding to the electric vehicle to purchase the electric vehicle information corresponding to the electric vehicle and at least one pane to be planned corresponding to the charging station corresponding to the electric vehicle. At least one purchase price per unit of electric power, at least one winning bid price for at least one grid to be planned corresponding to the electric vehicle to participate in demand bidding, at least one to be planned grid corresponding to the charging station to the electric vehicle Pane pays a payment price for the unit of electric power, a penalty price for the charging station that the electric vehicle is not fully charged with the unit of electric power, and at least one pane to be planned corresponding to the electric vehicle obtained from the distributed ledger At least one maximum charging electric power and at least one maximum discharging electric power, use a non-linear programming to obtain a charging electric power or a discharging electric power of the electric vehicle in each corresponding pane to be planned, and write it into the block chain system In a distributed ledger;

(E) for each of the time panes from the current time pane to the last of the time panes of the scheduling cycle, by the server, through a smart contract in the blockchain system according to its own The charging electric power or the discharging electric power of each electric vehicle in the time frame obtained by the distributed ledger is obtained by obtaining the total electric power consumption of the charging station in the time frame;

(F) Through the server, through the smart contract in the blockchain system, according to the total power consumption of each time pane obtained in step (E) and a maximum power supply related to the charging station, determine the current Whether there is at least one overloaded pane from the time pane to the last of the time panes of the scheduling cycle, wherein the total electrical power consumed by each overloaded pane is greater than the maximum supplied electrical power; and

(G) When it is determined that there is at least one overloaded pane, the server adjusts the purchase price of each overloaded pane through the smart contract in the blockchain system, and repeats steps (D)~(F ) until it is determined that there is no at least one overloaded pane, and write a charging electric power or a discharging electric power of each electric vehicle planned for each corresponding pane to be planned without any overloaded pane In the distributed ledger of the blockchain system.

The effect of the present invention lies in: using the charging pile to purchase at least one purchase price of the unit electric power according to the electric vehicle information corresponding to the electric vehicle, at least one pane to be planned corresponding to the electric vehicle at the charging station, At least one winning bid price of the charging station participating in the demand bidding for at least one pane to be planned corresponding to the electric vehicle, and at least one maximum charging electric power and at least A maximum discharge power, obtain the charging power or discharge power of the electric vehicle in each corresponding pane to be planned and write it into the distributed ledger, so as to ensure the transparency of the scheduling method and ensure the planned The scheduling result manages the charging and discharging of each electric vehicle.

Referring to Fig. 1 and Fig. 8, the embodiment of the electric vehicle charging station management method using blockchain in the present invention is suitable for managing the charging and discharging status of all electric vehicles 15 parked in a charging station 8, and through a blockchain system 1 to implement.

The charging station 8 is provided with an electric energy storage device 14 for storing electric energy, a solar module 16 for generating electricity, a plurality of loads 17 , and a plurality of charging piles 11 . The electric energy storage device 14 is, for example, an Energy Storage System (ESS for short). The electric energy storage device 14 is electrically connected to a corresponding one of the charging piles 11 and corresponds to a piece of electric energy information, the electric energy information includes an incoming battery charge state of the electric energy storage device 14, a current battery charge state, and a minimum charge state , a maximum state of charge, a full charge capacity, and a maximum charge and discharge power. The solar module 16 includes, for example, a solar cell template, and is used to generate a solar electric power for each time pane in a scheduling period. Each electric vehicle 15 is electrically connected to a corresponding one of the charging piles 11 and corresponds to an electric vehicle information, and each electric vehicle information includes an entry time, a departure time, and an entry time of the corresponding electric vehicle 15. An incoming battery SOC, a desired outgoing battery SOC, a current battery SOC, a minimum battery SOC, a maximum battery SOC, and a full charge capacity. Each charging post 11 has computing processing capability and can control the charging and discharging of the electrically connected devices.

The blockchain system 1 includes the charging posts 11 and a server 12 connected to the charging posts 11 via a communication network 100 . Both the server 12 and the charging posts 11 are blockchain nodes in the blockchain system 1 . In this embodiment, the implementation form of the server 12 can be a personal computer, a notebook computer, a server 12 computer, or a cloud server 12 and so on.

It is worth mentioning that the entry time, the departure time, the entry battery state of charge, the departure battery state of charge, the minimum battery state of charge, the maximum battery state of charge and the full charge capacity in the electric vehicle information It can be generated by the user of the corresponding electric vehicle 15 using the user terminal (not shown) held by it to perform an input operation, and sent to the server 12 of the blockchain system 1 through the communication network 100, the electric vehicle The state of charge of the incoming battery and the current state of charge of the battery in the information can be obtained by measuring the state of charge of the battery of the electric vehicle 15 through the charging pile 11 electrically connected to the corresponding electric vehicle 15 and then sending it to the server 12. However, it is not limited to this. The state of charge of the incoming battery, the minimum state of charge, the maximum state of charge, the full charge capacity, and a maximum charge and discharge power in the energy information are managed by the management terminal held by the manager of the charging station 8 (Fig. not shown) is generated by input operation, and sent to the server 12 of the block chain system 1 through the communication network 100, the state of charge of the incoming battery and the state of charge of the current battery in the electric energy information can be stored by the electric energy The charging pile 11 to which the device 14 is electrically connected measures the state of charge of the battery of the electric energy storage device 14 and transmits it to the server 12 to obtain, but it is not limited thereto.

The following will describe the embodiment of the electric vehicle charging station management method using blockchain in the present invention in conjunction with the accompanying drawings. This embodiment includes a power generation prediction program, a power consumption prediction program, a charging and discharging distribution program, and a A distributed scheduling program for electric vehicles, a scheduling program for electric energy storage devices, and a comprehensive planning program.

Referring to Fig. 1, Fig. 2 and Fig. 8, the power generation prediction program of the electric vehicle charging station management method using blockchain illustrates how to predict the power generation status of the solar module 16 of the charging station 8, and includes the following steps.

In step 21, the server 12 uses a machine learning algorithm to establish a solar module 16 based on the charging station 8 through the smart contract 121 in the blockchain system 1 according to multiple pieces of electricity training data. A power generation prediction model for predicting the power generation status of the solar module 16 of the charging station 8 in the time interval based on the power generation status of a time interval before a time interval. Each power generation training data includes a solar electric power generated by the solar module 16 of the charging station 8 corresponding to each time pane of the previous time interval, weather information corresponding to the time interval and the solar module of the charging station 8 16 One solar electric power generated in each time pane of the time interval. Wherein, the solar electric power corresponding to each time pane of the time interval is taken as the correct result (ie, label).

In step 22, the server 12 uses the smart contract 121 in the blockchain system 1 to generate a solar electric power corresponding to the solar power module 16 in each time window of a previous scheduling cycle and the corresponding scheduling For the weather information of the scheduling period, a power generation forecasting model is used to predict a predicted solar electric power corresponding to each time window of the solar module 16 in the scheduling period.

Referring to Fig. 1, Fig. 3 and Fig. 8, the power consumption forecasting program of the electric vehicle charging station management method using blockchain illustrates how to predict the power consumption status of the load 17 of the charging station 8, and includes the following steps.

In step 31, the server 12 uses a machine learning algorithm to establish a set of data for charging station 8 based on the load 17 of the charging station 8 through the smart contract 121 in the block chain system 1 based on multiple pieces of electricity training data. The power consumption status of the time interval is a power consumption prediction model for predicting the power consumption status of the load 17 of the charging station 8 in the time interval. Each power consumption training data includes the load power consumed by the load 17 of the charging station 8 in each time frame of the previous time interval, the weather information corresponding to the time interval, and the load 17 of the charging station 8 The electric power consumed by the load corresponding to each time pane in the time interval. Wherein, the consumed electric power of the load corresponding to each time pane of the time interval is taken as the correct result (ie, label).

In step 32, the server 12 uses the smart contract 121 in the block chain system 1 according to the load electric power consumed by the load 17 of the charging station 8 in each time pane of the previous scheduling cycle and Corresponding to the weather information of the scheduling period, a power consumption prediction model is used to predict a predicted load electric power corresponding to the load 17 of the charging station 8 in each time window of the scheduling period.

Referring to Fig. 1, Fig. 4 and Fig. 8, the charging and discharging distribution program of the electric vehicle charging station management method using blockchain illustrates how to allocate a maximum charging electric power and a maximum discharging electric power corresponding to each electric vehicle 15 , and contains the following steps.

及該離場時間

，映射至一排程週期中之多個時間窗格的至少一者，並自該電動車15所在之至少一時間窗格獲得至少一待規劃窗格，並寫入該區塊鏈系統1之分散式帳本13中，其中該電動車15所對應之該至少一待規劃窗格係自一當前時間窗格至該電動車15所在的最後一個時間窗格。在本實施例中，該排程週期例如為一天，每一完整的時間窗格為0.25小時，而一天可以被劃分為96個時間窗格。 In step 41, for each electric vehicle 15, the charging pile 11 corresponding to the electric vehicle 15 is the entry time of the electric vehicle 15 (that is, the nth electric vehicle 15)

and the departure time

, mapped to at least one of multiple time panes in a scheduling cycle, and at least one pane to be planned is obtained from at least one time pane where the electric vehicle 15 is located, and written into the block chain system 1 In the distributed ledger 13, the at least one pane to be planned corresponding to the electric vehicle 15 is from a current time pane to the last time pane where the electric vehicle 15 is located. In this embodiment, the scheduling period is, for example, one day, and each complete time pane is 0.25 hours, and a day can be divided into 96 time panes.

、該電動車15(亦即，第n台電動車15)所對應之電動車資訊中的該離場時間

、該當前電池荷電狀態

、該離場電池荷電狀態

、該滿充容量

，及該電動車15所對應之充電樁11可提供之一最大的充放電電功率

利用下列公式(1)~(2)，獲得第n台電動車15第t個時間窗格的一充電優先權重

及一放電優先權重

。

…(1)

…(2) In step 42, for each electric vehicle 15, the server 12 uses the smart contract 121 in the blockchain system 1 according to a current time

, The departure time in the electric vehicle information corresponding to the electric vehicle 15 (that is, the nth electric vehicle 15)

, the current state of charge of the battery

, the state of charge of the off-site battery

, the full capacity

, and the charging pile 11 corresponding to the electric vehicle 15 can provide one of the largest charging and discharging electric power

Use the following formulas (1)~(2) to obtain a charging priority weight of the nth electric vehicle 15 in the tth time window

and a discharge priority weight

.

…(1)

…(2)

為一時間窗格所對應的時間期間，其單位為小時，在本實施例中，一時間窗格被定義為15分鐘，也就是0.25小時，故

之值為0.25。

It is the time period corresponding to a time pane, and its unit is hour. In this embodiment, a time pane is defined as 15 minutes, which is 0.25 hours, so

The value is 0.25.

、放電優先權重

、所有電動車15的充電優先權重、放電優先權重、該充電站8的一變壓器最大功率

、第t個時間窗格的該預測太陽能電功率

及第t個時間窗格的該預測負載用電電功率

，利用以下公式(3)~(4)獲得該電動車15在第t個時間窗格之最大的充電電功率

及最大的放電電功率

，並寫入該區塊鏈系統1之分散式帳本13中。

…(3)

…(4) In step 43, for each electric vehicle 15, the server 12 uses the smart contract 121 in the block chain system 1 according to the charging priority weight of the electric vehicle 15 (that is, the nth electric vehicle 15)

, discharge priority weight

, the charging priority weight of all electric vehicles 15, the discharging priority weight, the maximum power of a transformer of the charging station 8

, the predicted solar electric power of the tth time window

and the predicted load electric power of the tth time window

, use the following formulas (3)~(4) to obtain the maximum charging electric power of the electric vehicle 15 in the tth time window

and maximum discharge power

, and write in the distributed ledger 13 of the block chain system 1.

...(3)

…(4)

where N is all electric vehicles15.

Referring to Fig. 1, Fig. 5 and Fig. 8, the electric vehicle distributed scheduling program using blockchain electric vehicle charging station management method illustrates how to optimize the charging and discharging schedule corresponding to each electric vehicle 15, and include the following steps.

In step 51, the server 12 writes a demand response event including a demand response period and its corresponding bid price into the blockchain system 1 through the smart contract 121 in the blockchain system 1 Distributed Ledger13.

…(5) 其中，

，其中

，

，其中

，

，其中

，

，其中

。 限制條件1：

。 限制條件2：

。 限制條件3：

。 限制條件4：

。 限制條件5：

。 In step 52, for each electric vehicle 15, the charging pile 11 corresponding to the electric vehicle 15 is based on the electric vehicle information corresponding to the electric vehicle 15 (that is, the nth electric vehicle 15), the charging station 8 at The electric vehicle 15 corresponds to at least one pane to be planned to buy at least one purchase price of the unit electric power (that is, the purchase price of 1 kilowatt-hour of electricity), the charging station 8 obtained from the distributed ledger 13 Participate in at least one winning bid price (that is, the winning bid price of 1 kilowatt-hour) in at least one pane to be planned corresponding to the electric vehicle 15, the charging station 8 corresponding to the electric vehicle 15 at least A payment price for the unit electric power paid in a pane to be planned, a penalty price for the charging station 8 when the electric vehicle 15 is not fully charged with the unit electric power, and the electric vehicle 15 obtained from the distributed ledger 13 corresponding to the corresponding At least one maximum charging electric power and at least one maximum discharging electric power of at least one pane to be planned, using a nonlinear programming to obtain a charging electric power or a discharging electric power of the electric vehicle 15 in each corresponding pane to be planned, and Written in the distributed ledger 13 of the block chain system 1. Wherein, an objective function of the nonlinear programming can be expressed as the following formula (5), and the restrictive conditions satisfied by the objective function are the following restrictive conditions 1-5.

…(5) where,

,in

,

,in

,

,in

,

,in

. Restriction 1:

. Restriction 2:

. Restriction 3:

. Restriction 4:

. Restriction 5:

.

為第n台電動車15所對應之至少一待規劃窗格，

為第n台電動車15在第t個時間窗格充電時，該充電站8需付出的成本，

為該充電站8在第t個時間窗格買入該單位電功率的一買入價格，

為第n台電動車15在第t個時間窗格的充電電功率或放電電功率，當

，

為第n台電動車15在第t個時間窗格的充電電功率，當

，

為第n台電動車15在第t個時間窗格的放電電功率，

為第n台電動車15在第t個時間窗格參與需量反應時，該充電站8所獲取之一節電利潤，

為該充電站8在第t個時間窗格參與需量競價的一得標價格，

為第n台電動車15在第t個時間窗格放電時，該充電站8需給付電動車15的補償費用，

為該充電站8在第t個時間窗格給付該單位電功率的一給付價格，

為第n台電動車15在未符合其期望的離場電池荷電狀態時的一懲罰金，

為未充滿該單位電功率的一懲罰價格，

為第n台電動車15在符合其期望的離場電池荷電狀態時總共需獲得之電量，

為第n台電動車15所對應之充電樁11可提供之一最大充放電電功率，

為第n台電動車15的該最大的充電電功率，

為第n台電動車15的該最大的放電電功率，

為第n台電動車15所在之至少一時間窗格，

為第n台電動車15的該最小電池荷電狀態，

為第n台電動車15的該最大電池荷電狀態，

為第n台電動車15在第t+1個時間窗格的一電池荷電狀態，

為第n台電動車15在第

個時間窗格的一電池荷電狀態，

為第n台電動車15之電池的一滿充容量，

為第n台電動車15的該離場電池荷電狀態，

為一個時間窗格時間期間。 in,

is at least one pane to be planned corresponding to the nth electric vehicle 15,

When charging the nth electric vehicle 15 in the tth time frame, the cost that the charging station 8 needs to pay,

A purchase price for the unit of electric power purchased by the charging station 8 in the t-th time frame,

is the charging electric power or discharging electric power of the nth electric vehicle 15 in the tth time window, when

,

is the charging electric power of the nth electric vehicle 15 in the tth time frame, when

,

is the discharge electric power of the nth electric vehicle 15 in the tth time window,

is one of the power-saving profits obtained by the charging station 8 when the nth electric vehicle 15 participates in demand response in the tth time frame,

is the winning bid price of the charging station 8 participating in the demand bidding in the tth time frame,

When the nth electric vehicle 15 is discharged in the tth time window, the charging station 8 needs to pay the compensation fee for the electric vehicle 15,

Pay a payment price for the unit of electric power for the charging station 8 in the tth time frame,

is a penalty for the nth electric vehicle 15 when it does not meet its expected departure battery state of charge,

is a penalty price for not fully filling the unit of electric power,

is the total amount of electricity that the nth electric vehicle 15 needs to obtain when it meets its expected departure battery state of charge,

is the maximum charging and discharging electric power that can be provided by the charging pile 11 corresponding to the nth electric vehicle 15,

is the maximum charging electric power of the nth electric vehicle 15,

is the maximum discharge electric power of the nth electric vehicle 15,

is at least one time pane where the nth electric vehicle 15 is located,

is the minimum battery state of charge of the nth electric vehicle 15,

is the maximum battery state of charge of the nth electric vehicle 15,

is the state of charge of a battery of the nth electric vehicle 15 at the t+1 time window,

For the nth electric car 15th

A battery state of charge for a time pane,

is a full charge capacity of the battery of the nth electric vehicle 15,

is the state of charge of the off-site battery of the nth electric vehicle 15,

The time period for a time pane.

Referring to FIG. 1, FIG. 6 and FIG. 8, the electric energy storage device scheduling program of the electric vehicle charging station management method using blockchain illustrates how to optimize the charging and discharging schedule corresponding to the electric energy storage device 14, and includes Follow the steps below.

In step 61, the charging pile 11 corresponding to the electric energy storage device 14 takes all the time panes in the scheduling cycle as the time pane where the electric energy storage device 14 is located, and starts from the time slots in the scheduling cycle The pane obtains at least one pane to be planned and writes it into the distributed ledger 13 of the blockchain system 1, wherein the at least one pane to be planned corresponding to the electric energy storage device 14 is from the current time pane To the last of the time panes for this scheduling cycle. Since the electric energy storage device 14 is installed at the charging station 8, the time slots where it is located are all the time slots in the scheduling cycle.

…(6) 其中，

，其中

，

，

，其中

。 限制條件1：

。 限制條件2：

。 限制條件3：

。 限制條件4：

。 In step 62, the charging pile 11 corresponding to the electric energy storage device 14 is based on the electric energy information corresponding to the electric energy storage device 14, the charging station 8 in each of the at least one pane to be planned corresponding to the electric energy storage device 14 A purchase price (that is, the purchase price of 1 kilowatt-hour of electricity) for the buyer to buy the unit of electric power, a winning bid price (that is, the winning bid price of 1 kilowatt-hour of electricity) for participating in demand bidding, and the electric energy storage A degradation cost of charging or discharging the unit electric power consumed by the device 14 (that is, the degradation cost of charging and discharging 1 kilowatt-hour of electricity), using the nonlinear programming to obtain a value of the electrical energy storage device 14 in each corresponding pane to be planned Charging electric power or a discharging electric power is written into the distributed ledger 13 of the block chain system 1. Wherein, an objective function of the nonlinear programming can be expressed as the following formula (6), and the restrictive conditions satisfied by the objective function are the following restrictive conditions 1-4.

…(6) where,

,in

,

,

,in

. Restriction 1:

. Restriction 2:

. Restriction 3:

. Restriction 4:

.

為該電能儲存裝置14所對應之至少一待規劃窗格，

為該電能儲存裝置14在第t個時間窗格充電時，該充電站8需付出的成本，

為該電能儲存裝置14在第t個時間窗格參與需量反應時，該充電站8所獲取之一節電利潤，

為該電能儲存裝置14在第t個時間窗格的充電電功率或放電電功率，當

，

為該電能儲存裝置14在第t個時間窗格的充電電功率，當

，

為該電能儲存裝置14在第t個時間窗格的放電電功率，

為該充電站8在第t個時間窗格買入該單位電功率的該買入價格，

為該電能儲存裝置14在第t個時間窗格充電或放電的一總劣化成本，

為該電能儲存裝置14的一總成本，

為該電能儲存裝置14的一電池容量變化量與一電池循環次數變化量的比值，

為該電能儲存裝置14的一滿充容量，

為該電能儲存裝置14的之電池充電或放電該單位電功率所消耗的一劣化成本，

為該充電站8在第t個時間窗格參與需量競價的該得標價格，

為該電能儲存裝置14的該最大的充放電電功率，

為該電能儲存裝置14的該最小電池荷電狀態，

為該電能儲存裝置14的該最大電池荷電狀態，

為該電能儲存裝置14在第t+1個時間窗格的一電池荷電狀態，

為該電能儲存裝置14的該入場電池荷電狀態，

為該電能儲存裝置14的該離場電池荷電狀態，

為每一時間窗格所對應的時間期間。 in,

at least one pane to be planned corresponding to the electric energy storage device 14,

When charging the electric energy storage device 14 in the tth time frame, the cost that the charging station 8 needs to pay,

is an electricity-saving profit obtained by the charging station 8 when the electric energy storage device 14 participates in demand response in the t-th time frame,

is the charging electric power or discharging electric power of the electric energy storage device 14 in the tth time window, when

,

is the charging electric power of the electric energy storage device 14 in the tth time window, when

,

is the discharge electric power of the electric energy storage device 14 in the tth time window,

The purchase price of the unit of electric power purchased by the charging station 8 in the t-th time frame,

a total degradation cost for charging or discharging the electrical energy storage device 14 at the tth time window,

is a total cost of the electrical energy storage device 14,

is the ratio of a battery capacity change of the electric energy storage device 14 to a battery cycle number change,

is a full charge capacity of the electric energy storage device 14,

a degradation cost consumed for charging or discharging the unit electric power for the battery of the electric energy storage device 14,

is the winning bid price of the charging station 8 participating in the demand bidding in the tth time frame,

is the maximum charging and discharging electric power of the electric energy storage device 14,

is the minimum battery state of charge of the electrical energy storage device 14,

is the maximum battery state of charge of the electrical energy storage device 14,

is a battery state of charge of the electric energy storage device 14 at the t+1th time window,

is the incoming battery state of charge of the electrical energy storage device 14,

is the off-site battery state of charge of the electrical energy storage device 14,

is the time period corresponding to each time pane.

Referring to Fig. 1, Fig. 7 and Fig. 8, the comprehensive planning procedure of the electric vehicle charging station management method using blockchain illustrates how to avoid the lack of overall consideration due to independent scheduling, resulting in violation of a maximum supply in some specific cases. For electric power constraints, the comprehensive planning procedure consists of the following steps.

。

…(7) In step 71, for the current time pane to the last time pane among the time panes of the scheduling cycle (that is, at least one to-be-planned pane corresponding to the electric energy storage device 14 ) Each, the server 12 uses the smart contract 121 in the blockchain system 1 according to the predicted solar electric power and the predicted load of the charging station 8 in the time frame (ie, the t-th time frame) The electric power used, the charging electric power or the discharging electric power of each electric vehicle 15 obtained from the distributed ledger 13 at the time pane, and the electric energy storage device 14 obtained from the distributed ledger 13 at the time For the charging electric power or the discharging electric power of the pane, the following formula (7) is used to obtain the total power consumption of the charging station 8 in one of the time panes

.

...(7)

為第n台電動車15在第t個時間窗格的該充電電功率或該放電電功率，

為該電能儲存裝置14在第t個時間窗格的該充電電功率或該放電電功率，

為該充電站8在第t個時間窗格的該預測負載用電電功率，

為該充電站8在第t個時間窗格的該預測太陽能電功率，N為所有電動車15，

為該電能儲存裝置14所對應之至少一待規劃窗格。 in,

is the charging electric power or the discharging electric power of the nth electric vehicle 15 in the tth time window,

is the charging electric power or the discharging electric power of the electric energy storage device 14 in the tth time window,

is the electric power of the predicted load of the charging station 8 in the tth time frame,

is the predicted solar electric power of the charging station 8 in the tth time frame, N is all electric vehicles 15,

It is at least one pane to be planned corresponding to the electric energy storage device 14 .

In step 72, the server 12 determines through the smart contract 121 in the blockchain system 1 according to the total power consumption of each time frame obtained in step 71 and the maximum power supply related to the charging station 8 Whether there is at least one overloaded pane in the last timed pane of the timed panes from the current timed pane to the scheduling period, wherein the total electric power consumed by each overloaded pane is greater than the maximum supplied electric power. When the server 12 determines that there is at least one overloaded pane, the process proceeds to step 73 ; when the server 12 determines that there is no overloaded pane, the process proceeds to step 74 .

(x)來調整該超載窗格的買入價格，並重複進行步驟52、步驟62、步驟71~72。其中每一電價調整係數

(x)可被表示為以下公式(8)。

…(8) In step 73, for each overloaded pane, the server 12 adjusts the coefficient according to the electricity price of the corresponding overloaded pane through the smart contract 121 in the blockchain system 1

(x) to adjust the buy price of the overloaded pane, and repeat step 52, step 62, and steps 71~72. Each electricity price adjustment factor

(x) can be expressed as the following formula (8).

…(8)

為第n台電動車15在第t個時間窗格的該充電電功率或該放電電功率，

為該電能儲存裝置14在第t個時間窗格的該充電電功率或該放電電功率，

為該充電站8在第t個時間窗格的該預測負載用電電功率，

為該充電站8在第t個時間窗格的該預測太陽能電功率，N為所有電動車15的數量，

為該最大供給電功率，

為該至少一超載窗格。 in,

is the charging electric power or the discharging electric power of the nth electric vehicle 15 in the tth time window,

is the charging electric power or the discharging electric power of the electric energy storage device 14 in the tth time window,

is the electric power of the predicted load of the charging station 8 in the tth time frame,

is the predicted solar electric power of the charging station 8 in the tth time frame, N is the number of all electric vehicles 15,

For the maximum electric power supplied,

for the at least one overloaded pane.

It is worth mentioning that, in this embodiment, the server 12 adjusts the purchase price of the overloaded pane by multiplying the original purchase price of the overloaded pane by the electricity price adjustment coefficient corresponding to the overloaded pane price, so that the electricity price for that overloaded pane is adjusted higher. And in step 52 carried out again, the time window corresponding to the at least one overload pane in the at least one purchase price of the unit electric power purchased by the charging station 8 in the at least one pane to be planned corresponding to the electric vehicle 15 The purchase price of the grid is the adjusted electricity price. Similarly, the charging station 8 corresponds to at least The buy price for the time pane of an overloaded pane is the adjusted electricity price. Because the electricity price of the at least one overloaded pane is increased, in order to optimize the benefit of the charging station 8 , the charging amount in the at least one overloaded pane can be transferred to other unplanned panes whose electricity prices have not been increased. In this way, the comprehensive planning procedure can compensate for the overload problem that may occur when each electric vehicle 15 is independently planned, so that the maximum supply electric power limit will not be violated in any time window.

It is also worth mentioning that the range of t in formula (7) can also be defined as all the time panes of the scheduling cycle, since the electric vehicle charging station management method using blockchain in the present invention After the vehicle distributed scheduling program and the electric energy storage device scheduling program, the comprehensive planning program will be carried out so that the planned scheduling results will not violate the maximum power supply limit in any time pane, so the previous The planned time panes must all meet the limit not greater than the maximum power supply, so it doesn't matter if the previously planned time panes are taken into consideration whether there is any overloaded pane.

In step 74, the server 12 uses the smart contract 121 in the blockchain system 1 to plan each electric vehicle 15 and the electric energy storage device 14 in each corresponding The charging electric power or discharging electric power of the pane to be planned is written into the distributed ledger 13 of the blockchain system 1 .

In step 75, the charging piles 11 obtain from the distributed ledger 13 of the blockchain system 1 the planned time slots of each electric vehicle 15 that does not have any overloaded panes. The charging electric power or the discharging electric power, and the planned charging electric power or the discharging electric power of the electric energy storage device 14 in each pane to be planned without any overloaded pane, and according to the obtained The charging electric power or the discharging electric power of each electric vehicle 15 and the electric energy storage device 14 in each time pane where it is located, controls the charging station 8 in the current time pane according to each electric vehicle 15 and the electric energy The storage device 14 charges or discharges each electric vehicle 15 and the electric energy storage device 14 at the charging electric power or the discharging electric power corresponding to the current time pane.

In step 76, the server 12 determines whether the current time pane is the last time pane in the scheduling cycle through the smart contract 121 in the blockchain system 1 . When the server 12 determines that the current time pane is the last time pane in the scheduling period, the process ends; when the server 12 determines that the current time pane is not the last time pane in the scheduling period When a time pane is selected, the process proceeds to step 77.

In step 77, when the time passes to the next time pane of the current time pane (that is, the next time pane becomes the new current time pane), the server 12 re-executes steps 21~ 22, 31~32, 41~43, 51~52, 62 and 71~76. It is worth noting that if there is a new electric vehicle 15 parked in the charging station 8 in the next time pane, when step 41 is performed again, only the entry time and departure time of the electric vehicle 15 newly added to the charging station 8 need to be entered. Field time is mapped to at least one of the time panes in the scheduling cycle, and the electric vehicles 15 that have been mapped before do not need to be mapped again.

The following example illustrates the operation method of the electric vehicle charging station management method using blockchain in the present invention. If the scheduling cycle is one day, then a day contains 0~95 time panes, and the current time pane is the 0th time of today If you want to perform the power generation forecasting program and power consumption forecasting program, it will be based on the solar power generated corresponding to each time pane from the 0th to 95th time panes of the previous day and the weather corresponding to the scheduling cycle Information, predict the predicted solar electric power corresponding to each time frame of the 0th to 95th time frame today. Then, according to the power consumption of loads corresponding to each of the 0th to 95th time panes of the previous day and the weather information corresponding to the scheduling cycle, today’s 0th to 95th time panes are predicted The predicted load electric power corresponding to each time pane. When performing the charge-discharge allocation program, assume that there are 3 electric vehicles 15 parked at the charging station 8 in the 0th time frame, and the 1st electric vehicle 15 is mapped to the 0th time frame in the 0~95 time frame ~3 time panes, the second electric car 15 is mapped to the 0~5 time panes in the 0~95 time panes, and the third electric car 15 is mapped to the 0~95 time panes The 0th to 8th time panes, and when the current time pane is the 0th time pane, then at least one pane to be planned of the first electric vehicle 15 is the 0th to 3rd time panes, with [ 0,1,2,3] means that at least one pane to be planned of the second electric vehicle 15 is [0,1,2,3,4,5], and at least one pane to be planned of the third electric vehicle 15 The pane would be [0,1,2,3,4,5,6,7,8]. Then, the maximum charging electric power and the maximum discharging electric power of each electric vehicle 15 in each corresponding pane to be planned are obtained, and then, the distributed scheduling procedure of the electric vehicle is carried out to obtain the first electric vehicle 15 The charging electric power or the discharging electric power in each pane to be planned (that is, each of the 0th to 3rd time panes), the second electric vehicle 15 is in each pane to be planned (that is, The charging electric power or the discharging electric power of each of the 0th to 5th time panes), the third electric vehicle 15 is in each to-be-planned pane (that is, each of the 0th to 8th time panes) or the charging electric power or the discharging electric power. Next, the electric energy storage device scheduling procedure is performed to obtain the charging electric power or the discharging electric power of the electric energy storage device 14 in each pane to be planned (that is, each of the 0th to 95th time panes) . Finally, the comprehensive planning procedure is carried out to determine whether there is at least one overloaded pane in the 0~95th time panes, assuming that the server 12 determines the 2nd~3 of the 0~95th time panes When the time frame is an overloaded frame, the server 12 will adjust the buying price of these overloaded frames (that is, the 2nd to 3rd time frames, represented by [2,3]), and re- Carry out charging and discharging planning for each electric vehicle 15 and the electric energy storage device 14 until there is no overloaded pane in the 0th to 95th time panes. Then, the charging piles 11 are based on the charging electric power or the discharging electric power of the first electric vehicle 15 that does not have any overloaded pane in each of the 0th to 3rd time panes, and the second The charging electric power or the discharging electric power of the first electric vehicle 15 in each of the 0th to 5th time frames, the charging electric power or the charging electric power of the third electric vehicle 15 in each of the 0th to 8th time frames The discharging electric power, and the charging electric power or the discharging electric power of the electric energy storage device 14 in each of the 0th to 95th time frames are used to control the charging station 8 in the current time frame (that is, the 0th time pane) each electric vehicle 15 and the electric energy storage device 14 are charged or discharged according to the charging electric power or the discharging electric power corresponding to each electric vehicle 15 and the electric energy storage device 14 in the 0th time pane .

When the time passes to the first time pane (that is, the first time pane becomes the new current time pane), when performing the power generation forecasting program and the power consumption forecasting program, it will be based on the previous day’s 1~95 time panes and today's 0th time pane corresponding to a solar electric power generated by each time pane and the weather information corresponding to the scheduling cycle, predicting today's 1st~95th time window grid and the predicted solar electric power corresponding to each time pane of tomorrow's 0th time pane. Then, according to the load power consumption corresponding to the 1st to 95th time panes of the previous day and the 0th time pane of today and the weather information corresponding to the scheduling cycle, today is predicted The predicted load electric power corresponding to each time pane of the 1st to 95th time panes and tomorrow's 0th time pane. When carrying out the charge-discharge allocation program, at least one pane to be planned of the first electric vehicle 15 is changed to the first to third time panes, represented by [1,2,3], and the second electric vehicle 15 At least one pane to be planned is changed to [1,2,3,4,5], and at least one pane to be planned of the third electric vehicle 15 is changed to [1,2,3,4,5,6 ,7,8]. Then, the maximum charging electric power and the maximum discharging electric power of each electric vehicle 15 in each corresponding pane to be planned are obtained, and then, the distributed scheduling procedure of the electric vehicle is carried out to obtain the first electric vehicle 15 The charging electric power or the discharging electric power in each pane to be planned (that is, each of the first to third time panes), the second electric vehicle 15 is in each pane to be planned (that is, The charging electric power or the discharging electric power of each of the 1st to 5th time panes), the third electric vehicle 15 is in each to-be-planned pane (ie, each of the 1st to 8th time panes) or the charging electric power or the discharging electric power. Next, perform the scheduling procedure of the electric energy storage device to obtain the charging electric power or the discharging electric power of the electric energy storage device 14 in each pane to be planned (that is, each of the 1st to 95th time panes) . Finally, the comprehensive planning procedure is performed to determine whether there is at least one overloaded pane in the 1st to 95th time panes, assuming that the server 12 determines that there is no overloaded pane in the 1st to 95th time panes , the charging piles 11 are planned according to the charging electric power or the discharging electric power, the second The charging electric power or the discharging electric power of the first electric vehicle 15 in each of the 1st to 5th time frames, the charging electric power or the charging electric power of the third electric vehicle 15 in each of the 1st to 8th time frames The discharging electric power, and the charging electric power or the discharging electric power of the electric energy storage device 14 in each of the 1st to 95th time frames are used to control the charging station 8 in the current time frame (that is, the 1st time pane) each electric vehicle 15 and the electric energy storage device 14 are charged or discharged according to the charging electric power or the discharging electric power corresponding to each electric vehicle 15 and the electric energy storage device 14 in the first time pane .

To sum up, the present invention utilizes the block chain electric vehicle charging station management method to have the following effects, first: by dispersely planning each electric vehicle 15 in its corresponding pane to be planned The charging electric power or the discharging electric power can greatly reduce the calculation dimension. Second: the charging electric power or a charging electric power or a The discharge electric power is written into the distributed ledger 13, which can ensure the transparency of the scheduling method and ensure that the charging and discharging of each electric vehicle 15 is managed according to the planned scheduling results. The planned scheduling result will not violate the limit of the maximum electric power supply under any time window, so the object of the present invention can be achieved indeed.

But the above-mentioned ones are only embodiments of the present invention, and should not limit the scope of the present invention. All simple equivalent changes and modifications made according to the patent scope of the present invention and the content of the patent specification are still within the scope of the present invention. Within the scope covered by the patent of the present invention.

1: Blockchain system 11: Charging pile 12:Server 121:Smart contract 13: Distributed ledger 14: Electric energy storage device 15: Electric car 16: Solar module 17: load 8: Charging station 100: Communication network 21~22: Steps 31~32: Steps 41~43: Steps 51~52: Steps 61~62: Steps 71~77: Steps

Other features and effects of the present invention will be clearly presented in the implementation manner with reference to the drawings, wherein: FIG. 1 is a block diagram illustrating a block chain system implementing an embodiment of the method for managing electric vehicle charging stations using block chains in the present invention; FIG. 2 is a flow chart illustrating a power generation prediction program of an embodiment of the method for managing electric vehicle charging stations using blockchain in the present invention; Fig. 3 is a flowchart illustrating a power consumption forecasting program of an embodiment of the method for managing electric vehicle charging stations utilizing blockchain in the present invention; Fig. 4 is a flow chart illustrating a charging and discharging distribution procedure of an embodiment of the electric vehicle charging station management method utilizing blockchain in the present invention; FIG. 5 is a flow chart illustrating a distributed scheduling program for electric vehicles in an embodiment of the method for managing electric vehicle charging stations using blockchain in the present invention; Fig. 6 is a flow chart illustrating an electric energy storage device scheduling procedure of an embodiment of the electric vehicle charging station management method using blockchain in the present invention; and 7 is a flow chart illustrating a comprehensive planning procedure of an embodiment of the method for managing electric vehicle charging stations using blockchain in the present invention; and FIG. 8 is a block diagram illustrating a charging station managed by an embodiment of the method for managing an electric vehicle charging station using blockchain in the present invention.

51~52: Steps

Claims (10)

A management method for electric vehicle charging stations using blockchain, suitable for managing the charging and discharging states of multiple electric vehicles parked in a charging station, and implemented by a blockchain system, the blockchain system includes a servo device, and a plurality of charging piles installed on the charging station and connected to the server through the communication network, each electric vehicle is electrically connected to one of the corresponding charging piles and corresponds to a piece of electric vehicle information, each electric vehicle The car information includes an entry time, a departure time, an entry battery charge state, a current battery charge state, an expected departure battery charge state, a minimum battery charge state, and a maximum charge state of the corresponding electric vehicle. The state of charge of the battery, and a full charge capacity, the electric vehicle charging station management method using blockchain includes the following steps: (A) For each electric vehicle, map the entry time and the departure time of the electric vehicle to at least one of the multiple time panes in a scheduling cycle through the charging pile corresponding to the electric vehicle , and obtain at least one pane to be planned from at least one time pane where the electric vehicle is located, and write it into the distributed ledger of the blockchain system, wherein the at least one pane to be planned corresponding to the electric vehicle The frame system is from a current time pane to the last time pane where the electric vehicle is located; (B) For each electric vehicle, through the server, through the smart contract in the blockchain system, according to a current time, the departure time of the electric vehicle, the current battery charge state, the departure battery charge State, the full charge capacity, and a maximum charging and discharging electric power that the charging pile corresponding to the electric vehicle can provide, and obtain a charging priority weight and a discharging priority weight of the electric vehicle in each corresponding pane to be planned; (C) For each electric vehicle, through the server, through the smart contract in the blockchain system, according to the maximum power of a transformer of the charging station and the charging priority weight and the discharging priority weight of the electric vehicle, obtain A maximum charging electric power and a maximum discharging electric power of the electric vehicle in each corresponding pane to be planned are written into the distributed ledger of the blockchain system; (D) For each electric vehicle, use the charging pile corresponding to the electric vehicle to purchase the electric vehicle information corresponding to the electric vehicle and at least one pane to be planned corresponding to the charging station corresponding to the electric vehicle. At least one purchase price per unit of electric power, at least one winning bid price for at least one grid to be planned corresponding to the electric vehicle to participate in demand bidding, at least one to be planned grid corresponding to the charging station to the electric vehicle Pane pays a payment price for the unit of electric power, a penalty price for the charging station that the electric vehicle is not fully charged with the unit of electric power, and at least one pane to be planned corresponding to the electric vehicle obtained from the distributed ledger At least one maximum charging electric power and at least one maximum discharging electric power, use a non-linear programming to obtain a charging electric power or a discharging electric power of the electric vehicle in each corresponding pane to be planned, and write it into the block chain system In a distributed ledger; (E) for each of the current time pane to the last of the time panes of the scheduling cycle, by the server, through a smart contract in the blockchain system according to Obtain the charging electric power or the discharging electric power of each electric vehicle in the time frame obtained from the distributed ledger, and obtain the total consumption electric power of the charging station in the time frame; (F) Through the server, through the smart contract in the blockchain system, according to the total power consumption of each time frame obtained in step (E) and a maximum power supply related to the charging station, determine the Whether there is at least one overloaded pane from the current time pane to the last of the time panes of the scheduling period, wherein the total power consumption of each overloaded pane is greater than the maximum electric power supplied; and (G) When it is determined that there is at least one overloaded pane, the server adjusts the purchase price of each overloaded pane through the smart contract in the blockchain system, and repeats steps (D)~( F) Until it is determined that there is no such at least one overloaded pane, and write a charging electric power or a discharging electric power of each electric vehicle planned for each corresponding pane to be planned without any overloaded pane into the distributed ledger of the blockchain system. The electric vehicle charging station management method using block chain as described in claim 1, wherein, in the step (D), an objective function of the nonlinear programming and a plurality of restrictive conditions satisfied by the objective function can be obtained by Expressed as:

,

,in

,

,in

,

,in

,

,in

, constraint 1:

, constraint 2:

, constraint 3:

, constraint 4:

, constraint 5:

, in,

is at least one pane to be planned corresponding to the nth electric vehicle,

When charging the nth electric vehicle in the tth time window, the charging station needs to pay the cost,

A purchase price for the unit of electric power purchased by the charging station in the t-th time frame,

is the charging electric power or discharging electric power of the nth electric vehicle in the tth time window, when

,

is the charging electric power of the nth electric vehicle in the tth time window, when

,

is the discharge electric power of the nth electric vehicle in the tth time window,

is one of the electricity-saving profits obtained by the charging station when the nth electric vehicle participates in demand response in the tth time frame,

is the winning bid price of the charging station participating in the demand bidding in the t-th time frame,

When the nth electric vehicle is discharged in the tth time window, the charging station shall pay the compensation fee for the electric vehicle,

Pay the charging station a payment price for the unit of electric power in the t-th time frame,

is a penalty for the nth electric vehicle when it does not meet its expected departure battery state of charge,

is a penalty price for not fully filling the unit of electric power,

is the total amount of electricity that the nth electric vehicle needs to obtain when it meets its expected departure battery state of charge,

It is one of the maximum charging and discharging electric power that the charging pile corresponding to the nth electric vehicle can provide,

is the maximum charging electric power of the nth electric vehicle,

is the maximum discharge electric power of the nth electric vehicle,

is at least one time pane where the nth electric vehicle is located,

is the minimum battery state of charge of the nth electric vehicle,

is the maximum battery state of charge of the nth electric vehicle,

is the state of charge of a battery of the nth electric vehicle at the t+1 time window,

is the nth electric vehicle at the

A battery state of charge for a time pane,

is the full charge capacity of the battery of the nth electric vehicle,

is the state of charge of the off-site battery of the nth electric vehicle,

The time period for a time pane. The electric vehicle charging station management method using block chain as described in claim 1, before step (D), also includes a step (H), through which the server will include a demand response period and its corresponding The demand response event of the winning bid price is written into the distributed ledger of the blockchain system. As described in claim 1, the electric vehicle charging station management method using blockchain, the charging station is provided with an electric energy storage device, the electric energy storage device is electrically connected to one of the charging piles and corresponds to a piece of electric energy information, The electric energy information includes an incoming battery state of charge of the electric energy storage device, a current state of battery charge, a minimum state of charge, a maximum state of charge, a full charge capacity, and a maximum charge and discharge electric power, which utilizes blockchain The electric vehicle charging station management method also includes the following steps before step (E): (I) With the charging pile corresponding to the electric energy storage device, all the time panes in the scheduling cycle are used as the time panes where the electric energy storage device is located, and from the time panes in the scheduling cycle Obtain at least one pane to be planned and write it into the distributed ledger of the blockchain system, wherein the at least one pane to be planned corresponding to the electric energy storage device is from the current time pane to the scheduling period the last of those time panes; and (J) Through the charging pile corresponding to the electric energy storage device, according to the electric energy information corresponding to the electric energy storage device, each of the at least one pane to be planned corresponding to the electric energy storage device at the charging station is purchased. A purchase price for a unit of electric power, a winning bid price for participating in demand bidding, and a degradation cost for charging or discharging the unit electric power consumed by the electric energy storage device, using the nonlinear programming to obtain the corresponding A charging electric power or a discharging electric power of a pane to be planned, and written into the distributed ledger of the blockchain system; Wherein, in step (E), not only according to the charging electric power or the discharging electric power of each electric vehicle at the time pane, but also according to the electric energy storage device obtained from the distributed ledger at the time pane The charging electric power or the discharging electric power is obtained by obtaining the total electric power consumption of the charging station in the time window. As described in claim 4, the electric vehicle charging station management method using blockchain, the charging station is also provided with a solar module for power generation and a plurality of loads, and before step (E), it also includes the following steps: (K) Through the server, through the smart contract in the blockchain system, according to the corresponding solar power generated by the solar module in each time window of a previous scheduling cycle and the corresponding time of the scheduling cycle Weather information, using a power generation forecasting model to predict a forecasted solar power corresponding to the solar module in each time window of the scheduling period; and (L) Through the server, through the smart contract in the blockchain system, according to the load power consumption of the charging station in each time window of the previous scheduling cycle and the corresponding scheduling Periodic weather information, using a power consumption forecasting model to predict a predicted load power consumption corresponding to the load of the charging station in each time window of the scheduling period; Wherein, in step (E), not only according to the charging electric power or the discharging electric power of each electric vehicle and the electric energy storage device in the time pane, but also according to the predicted solar power and the predicted load in the time pane The total consumed electric power of the charging station is obtained by using the electric power. The electric vehicle charging station management method using blockchain as described in claim 5, wherein: In step (E), the server uses the smart contract in the blockchain system to The charging electric power or the discharging electric power of a time pane

, the charging electric power or the discharging electric power of the electric energy storage device in the tth time window

, The predicted load electric power of the charging station in the tth time window

, and the predicted solar electric power at the t-th time window

, use the following formula to obtain the total power consumption of the charging station in the tth time window

,

, where N is all electric vehicles,

at least one pane to be planned corresponding to the electric energy storage device; and in step (G), for each overloaded pane, the server adjusts the coefficient according to the electricity price of the corresponding overloaded pane

(x) to adjust the buy price for that overloaded pane,

, in,

For the maximum electric power supplied,

for the at least one overloaded pane. The electric vehicle charging station management method using block chain as described in claim 6, wherein, in the step (J), an objective function of the nonlinear programming and a plurality of restrictive conditions satisfied by the objective function can be obtained by Expressed as:

,

,in

,

,

,in

, constraint 1:

, constraint 2:

, constraint 3:

, constraint 4:

, in,

at least one pane to be planned corresponding to the electrical energy storage device,

When charging the electric energy storage device at the tth time window, the charging station needs to pay the cost,

is the electricity-saving profit obtained by the charging station when the electric energy storage device participates in demand response in the tth time frame,

is the charging electric power or discharging electric power of the electric energy storage device in the tth time window, when

,

is the charging electric power of the electric energy storage device in the tth time window, when

,

is the discharge electric power of the electric energy storage device in the tth time window,

A purchase price for the unit of electric power purchased by the charging station in the t-th time frame,

a total degradation cost of charging or discharging the electrical energy storage device at the tth time window,

is a total cost of the electrical energy storage device,

is the ratio of a battery capacity change of the electric energy storage device to a battery cycle number change,

is a full charge capacity of the electrical energy storage device,

a degradation cost consumed by charging or discharging the unit electric power of the battery of the electric energy storage device,

is the winning bid price of the charging station participating in the demand bidding in the t-th time frame,

is the maximum charging and discharging electrical power of the electrical energy storage device,

is the minimum battery state of charge of the electrical energy storage device,

is the maximum battery state of charge of the electrical energy storage device,

is a state of charge of a battery of the electric energy storage device at the t+1th time window,

is the state of charge of the incoming battery of the electrical energy storage device,

is the state of charge of the off-site battery of the electrical energy storage device,

is the time period corresponding to each time pane. The electric vehicle charging station management method using block chain as described in claim 5, wherein: In step (B), it is based on the current time

, The departure time corresponding to the nth electric car

, the current state of charge of the battery

, the state of charge of the off-site battery

, the full capacity

, and the maximum charging and discharging electric power that the charging pile corresponding to the electric vehicle can provide

, use the following formula to obtain a charging priority weight of the nth electric vehicle

and a discharge priority weight

,

,

, in,

is the time period corresponding to each time pane. The electric vehicle charging station management method using blockchain as described in claim 8, wherein, in step (C), the server not only bases on the maximum power of a transformer of the charging station and the charging priority weight of the electric vehicle and the discharge priority weight, and according to the predicted solar electric power and the predicted load electric power corresponding to each time pane of the scheduling cycle, the electric vehicle in each corresponding to-be-planned pane is obtained The maximum charging electric power and the maximum discharging electric power. The electric vehicle charging station management method using blockchain as described in claim 9, wherein: In step (C), it is based on the charging priority weight of the nth electric vehicle

, the charging priority weight of all electric vehicles, the discharge priority weight of the nth electric vehicle

, the discharge priority weight of all electric vehicles, the maximum power of the transformer of the charging station

, the predicted solar electric power of the tth time window

and the predicted load electric power of the tth time window

, use the following formula to obtain the maximum charging electric power of the nth electric vehicle in the tth time window

and maximum discharge power

,

,

, where N is all electric vehicles.

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