Load resource regulation and control method and platform

Abstract

The invention discloses a load resource regulation and control method and platform, and the method comprises the steps: carrying out the time-phased prediction of a line load and an air conditioner load on a line according to the historical data of a load resource; then, according to a power grid constraint condition, under the condition that an air conditioner load prediction value is kept unchanged, a line load optimal value is calculated by taking the minimum line load fluctuation as a target; thirdly, correcting the optimal value of the line load in the next time period according to the actual value of the line load in the previous time period and the corrected value of the line load in the current time period; and finally, performing comprehensive scheduling on the charging periods of all the charging piles on the line according to the line load correction value in the next period, and forming a charging pile power distribution scheduling instruction in the next period by adjusting the starting time of the necessary charging period and combining the selective charging periods of all the charging piles. According to the invention, line stability regulation and control are carried out by fully utilizing the characteristic that the load demand of the charging pile has a relatively low requirement on instantaneity, and the method is a brand-new power distribution regulation and control mode.

Description

Technical Field

[0001] The present invention relates to a load resource regulation method and platform, and in particular to a load resource intelligent regulation method oriented to user-side demand response, which belongs to load resource regulation technology. Background Art

[0002] Electricity load demand response is an energy management strategy that aims to guide electricity users to consciously and voluntarily adjust the load of their electrical equipment during high-load periods, low-load periods, or when the safety and reliability of the power system is threatened through economic incentives and other mechanisms to adapt to power supply conditions and market price fluctuations, thereby assisting the power system in achieving a balance between supply and demand of electricity. This response method enables electricity users to flexibly change their electricity consumption patterns based on price signals and incentive mechanisms to support the stable operation of the power system and the effective use of resources. How to scientifically and fairly obtain the user-side load resource pool is a difficult problem in research.

[0003] The proportion of air conditioning load and charging pile load in the power grid is increasing year by year. Both air conditioning load and charging pile load will fluctuate over time, but the fluctuations of the two are different. The air conditioning load varies with the change of seasons, because it is different during the day and at night, and because of the different time periods; the charging pile load fluctuates less due to the change of seasons, but it will be different during the day and at night, and it will also be different due to different time periods; the air conditioning load and the charging pile load will show a certain degree of adjustability due to the regulation of electricity prices, but because the adjustability of the air conditioning load sacrifices a certain degree of comfort, as people pursue a better life, the possibility of adjustability will become lower and lower; the charging pile requires a certain amount of electricity within a certain length of time, and the time requirement is less stringent. If the charging pile can be used to make up for the peak and valley difference of the air conditioning load, it will improve the stability of the power grid operation and optimize the operation of the power grid. Summary of the invention

[0004] Purpose of the invention: In order to overcome the deficiencies in the prior art, the present invention provides a load resource control method and platform, which intelligently controls the load demand of electric vehicles while taking into account the air-conditioning load to meet the comfort requirements, thereby achieving peak shaving and valley filling of line loads.

[0005] Technical solution: To achieve the above purpose, the technical solution adopted by the present invention is:

[0006] A load resource control method, first, predicts the line load and the air-conditioning load on the line by time period according to the historical data of the load resources; then, according to the power grid constraint condition, the line load optimal value is calculated with the goal of minimizing the line load fluctuation while maintaining the predicted value of the air-conditioning load unchanged; then, the line load optimal value of the next time period is corrected according to the actual value of the line load in the previous time period and the line load correction value of the current time period; finally, the charging time period of all charging piles on the line is comprehensively scheduled according to the line load correction value of the next time period to form the charging pile distribution scheduling instruction for the next time period; a continuous time period that completes the minimum power requirement before the latest charging completion time is taken as the necessary charging time period, and other time periods are taken as selective charging time periods, and the peak shaving and valley filling of the line load is achieved by adjusting the start time of the necessary charging time period and randomly combining the selective charging time periods of all charging piles or combining them according to priority.

[0007] Charging pile load and air-conditioning load are important components of line load. Air-conditioning load is closely related to people's comfort. Considering people's increasing requirements for comfort year by year, it will be increasingly difficult to reduce people's comfort through compensation and thus improve the stability of line load. In this case, the predicted value of air-conditioning load is maintained when regulating load resources, and charging piles with relatively low requirements for the immediacy of charge demand are regulated in time, thereby achieving peak shaving and valley filling of line load and achieving line stability. At the same time, in order to meet different needs, the charging time is divided into necessary charging time and selective charging time, which can ensure the minimum power demand of electric vehicles, and use the remaining power demand as a kind of line load adjustment, and the time-divided method also further improves the flexibility of adjustment.

[0008] Specifically, the method for comprehensive scheduling of the charging time periods of all charging piles on the line is: collect the load demand plan of each charging pile in real time, including the latest charging completion time of the jth charging pile, the minimum power at the latest charging completion time, and the specified power at the latest charging completion time, and calculate the rounded-up value of the total time between the start time of the load demand plan of the jth charging pile and the latest charging completion time. The rounded-up value of the total charging time of the j-th charging pile that meets the minimum power plan The total charging time that meets the specified power plan is rounded up to the integer value And the load demand Q for continuous charging for one hour j , Before the latest charging completion time of the jth charging pile In Time Range, select a time length of A continuous period of time is regarded as the necessary charging period, and the remaining The time period of the jth charging pile is divided into time periods in hours. If the t+1 period is the necessary charging period for the jth charging pile, or the selective charging period for the jth charging pile but is selected as the charging period, then the load demand of the jth charging pile in the t+1 period is Q j , otherwise the load demand of the jth charging pile in the t+1 period is 0; according to the line load correction value in the t+1 period, the load demand of all charging piles on the line is comprehensively dispatched to form the charging pile distribution dispatching instruction in the t+1 period to achieve peak shaving and valley filling of the line load.

[0009] Specifically, if the jth charging pile proposes a load demand plan in period t, and Then the starting time of the necessary charging period of the jth charging pile is set; if the jth charging pile proposes a load demand plan in period t, and The starting time of the necessary charging period for the j-th charging pile is planned based on the line load correction value in the t+1 period and the load demand plan of all charging piles. The starting time of the necessary charging period for the j-th charging pile is the starting time of the t+1 period at the earliest. If a charging pile starts the necessary charging period in the t+1 period, the starting time of the necessary charging period is the starting time of the t+1 period, and charging starts at the starting time of the t+1 period until the minimum power plan is reached. If a charging pile is a selective charging period in the t+1 period but is selected as a charging period, charging starts at the starting time of the t+1 period until the end of the t+1 period or the specified power plan is reached.

[0010] Specifically, the load demand of all charging piles on the line is comprehensively dispatched according to the line load correction value in the t+1 period, and the charging pile distribution dispatch instruction in the t+1 period is formed, which is specifically: adjusting the starting time of the necessary charging period of the jth charging pile, and selecting some of the charging piles that are selective charging periods in the t+1 period and have not reached the specified power plan as the charging period, so that the sum of the load demands of all charging piles in the t+1 period meets:

[0011]

[0012] in: Indicates the line load adjustment space in the t+1 period, A is the weight coefficient that characterizes the proportion of the charging pile load, and B is the constant that characterizes the basic load. In this case, the air conditioning load is regarded as a non-adjustable quantity, and the remainder after the air conditioning load is separated from the line load is regarded as the adjustable space. The load regulation of the charging pile is the regulation of this part of the adjustable space. However, considering that in addition to the charging pile, there are also some basic loads such as lighting in the adjustable space, and it may also involve the situation of immediate joining and immediate charging, or leaving the charging pile in advance, it is adjusted through the weight coefficient and the basic constant.

[0013] Specifically, the method comprises the following steps:

[0014] Step 1. Obtain historical data of load resources, predict line load and air conditioning load in each period, and divide the period into hours. Period t represents the current period, i≥1, and They represent the line load forecast value and air conditioning load forecast value in the t+i period respectively;

[0015] Line load forecast value:

[0016] Air conditioning load forecast value:

[0017] Line load forecasting and air conditioning load forecasting can be achieved using existing technologies, such as load forecasting methods based on bus load modeling and adaptive training mechanism, load forecasting methods based on 3σ-CEEMDAN-LSTM, and microgrid short-term load forecasting methods based on kernel function extreme learning machines.

[0018] Step 2: On the premise of meeting the predicted value of air conditioning load and responding to the total load demand of the day, optimize the predicted value of line load in combination with the grid constraints and calculate the optimal value of line load in each period. represents the optimal line load value in the period t+i;

[0019] Optimal line load value:

[0020] In order to avoid excessive delays in grid load demand, when optimizing line load, in addition to considering grid constraints of line stability, we limit the total load of the response day to remain unchanged, that is, maintain the sum of the predicted values ​​of line loads in all periods of the response day unchanged; at the same time, in order to ensure people's comfort needs, the predicted value of air conditioning load must also be met, that is, the predicted value of air conditioning load must be maintained unchanged;

[0021] Step 3: Collect the response daily operation data of load resources in real time to obtain the actual line load value in the t-1 period Under the premise of satisfying the line load fluctuation rate, according to the actual line load value in period t-1 and the line load correction value for period t The optimal line load value for the period t+1 Perform real-time correction to obtain the line load correction value for the t+1 period

[0022]

[0023] Where: α represents the line load fluctuation rate limit;

[0024] In order to further reduce the volatility of line load, the optimization value is further optimized using real-time load;

[0025] Step 4: Correction value of line load based on the t+1 period and air conditioning load forecast value Estimated line load adjustment space

[0026] Step 5. Collect the load demand plan of each charging pile in real time, including the latest charging completion time of the jth charging pile, the minimum power at the latest charging completion time, and the specified power at the latest charging completion time, and calculate the rounded-up value of the total time between the start time of the load demand plan of the jth charging pile and the latest charging completion time. The rounded-up value of the total charging time of the j-th charging pile that meets the minimum power plan The total charging time that meets the specified power plan is rounded up to the integer value And the load demand Q for continuous charging for one hour j , Before the latest charging completion time of the jth charging pile In Time Range, select a time length of The continuous period is regarded as the necessary charging period, and the remaining The time period is selected as the selective charging period, and K is selected from the selective charging period. j The time period is used as the charging period.

[0027] Step 6: Adjust the starting time of the necessary charging period of the jth charging pile, and select some of the charging piles that are selective charging periods in the t+1 period and have not reached the specified power plan as charging periods, so that the sum of the load demands of all charging piles in the t+1 period satisfies:

[0028]

[0029] Where: A is the weight coefficient representing the proportion of charging pile load, and B is the constant representing the basic load;

[0030] The selection of the starting time of the necessary charging period here should, on the one hand, meet the requirement of the latest charging completion time, and on the other hand, leave a certain margin for the selective charging period, so as to meet the specified power plan as much as possible. It can be designed according to specific circumstances, such as setting a percentage of margin for the selective charging period, etc. The selection of the selective charging period can be random or priority, such as time priority, the earlier the plan starts, the first to be selected as the charging period, etc. In order to encourage users to relax the total charging time and increase the difference between the minimum power and the specified power, a price incentive method can be used; the specified power defaults to the full battery power, and the battery charge percentage can also be manually specified or selected;

[0031] Step 7. In the t+1 period, according to Q j (t+1) distribute power to the jth charging pile;

[0032] Step 8, t=t+1, return to Step 3.

[0033] A load resource control platform, including a dispatching platform and a charging pile, wherein the dispatching platform is provided with a historical data acquisition module, a line load prediction module, an air conditioning load prediction module, a line load optimization module, a response day operation data acquisition module, a line load correction module, a charging plan acquisition module and a charging pile power distribution dispatching module, wherein the charging pile includes a battery power acquisition module, a charging mode setting module, a charging time calculation module and a power distribution instruction execution module;

[0034] The historical data collection module is used to collect historical data of load resources;

[0035] The line load prediction module predicts the line load in each time period based on the historical data of the load resources to obtain the line load prediction value in each time period;

[0036] The air conditioning load prediction module predicts the air conditioning load in each time period according to the historical data of the load resources to obtain the predicted value of the air conditioning load in each time period;

[0037] The line load optimization module optimizes the line load prediction value in combination with the grid constraints and calculates the optimal line load value for each period, on the premise of satisfying the air conditioning load prediction value and responding to the total load demand of the day;

[0038] The response day operation data collection module is used to collect the response day operation data of the load resources, including the actual value of the line load in each time period;

[0039] The line load correction module corrects the optimal line load value for the next period according to the actual line load value for the previous period and the line load correction value for the current period;

[0040] The charging plan collection module is used to collect the charging plan of the charging pile, including the latest charging completion time, the rounded-up value of the total charging time that meets the minimum power plan, and the rounded-up value of the total charging time that meets the specified power plan;

[0041] The charging pile power distribution scheduling module performs comprehensive scheduling of the charging period of the charging piles according to the charging plans of all charging piles on the line and the line load correction value of the next period, and forms the charging pile power distribution scheduling instructions for the next period;

[0042] The battery power collection module collects the battery charge state after the electric vehicle is connected to the charging pile;

[0043] The charging mode setting module is used to set the latest charging completion time, the minimum power plan, the specified power plan and the charging power;

[0044] The charging time calculation module calculates the total time from the start time of the demand plan to the latest charging completion time, the total charging time that meets the minimum power plan, and the total charging time that meets the specified power plan according to the battery state of charge, the minimum power plan, the specified power plan, and the charging power;

[0045] The power distribution instruction execution module receives the charging pile power distribution scheduling instruction for the next time period and executes the power distribution instruction at the beginning of the next time period.

[0046] Specifically, for the jth charging pile, based on the battery charge state collected by the battery charge collection module and the latest charging completion time, the minimum power at the latest charging completion time, and the specified power at the latest charging completion time collected by the charging mode setting module, the total duration between the planned start time of the charging pile load demand and the latest charging completion time is calculated and rounded up to the integer value. The total charging time that meets the minimum power plan is rounded up to the nearest integer. The total charging time that meets the specified power plan is rounded up to the integer value And the load demand Q for continuous charging for one hour j , The jth charging station will and Q j Sent to the charging pile power distribution scheduling module; before the latest charging completion time of the jth charging pile In Time Range, select a time length of A continuous period of time is regarded as the necessary charging period, and the remaining The time period of the jth charging pile is divided into time periods in hours. If the t+1 period is the necessary charging period for the jth charging pile, or the selective charging period for the jth charging pile but is selected as the charging period, then the load demand of the jth charging pile in the t+1 period is Qj , otherwise the load demand of the jth charging pile in the t+1 period is 0; according to the line load correction value in the t+1 period, the load demand of all charging piles on the line is comprehensively dispatched to form the charging pile distribution dispatching instruction in the t+1 period to achieve peak shaving and valley filling of the line load.

[0047] Specifically, the charging pile power distribution scheduling module comprehensively schedules the load requirements of all charging piles on the line according to the line load correction value in the t+1 period, and forms the charging pile power distribution scheduling instruction in the t+1 period, which is specifically: adjusting the starting time of the necessary charging period of the jth charging pile, and selecting some of the charging piles that are selective charging periods in the t+1 period and have not reached the specified power plan as the charging period, so that the sum of the load requirements of all charging piles in the t+1 period meets:

[0048]

[0049] in: It represents the line load adjustment space in the period t+1, A is the weight coefficient representing the proportion of charging pile load, and B is the constant representing the basic load.

[0050] Beneficial effects: The load resource control method and platform provided by the present invention take into account the year-on-year improvement in people's requirements for comfort, and while maintaining the air-conditioning load forecast value and the daily load forecast value unchanged, predict, optimize and correct the line load, and achieve peak shaving and valley filling of the line load through comprehensive scheduling of the charging time periods of the charging piles, thereby achieving the purpose of line stability; at the same time, in order to meet different needs, the charging time is divided into necessary charging time and selective charging time, which can ensure the minimum power demand of electric vehicles, and use the remaining power demand as a kind of line load adjustment, and the time-dividing method also further improves the flexibility of adjustment; the present invention makes full use of the relatively low immediacy requirement of the charging pile load demand to control line stability, which is a new distribution control method. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 It is a structural block diagram of the load resource control platform in the present invention;

[0052] Figure 2 It is a flow chart of the load resource control method in the present invention. DETAILED DESCRIPTION

[0053] The present invention is described in detail below with reference to the accompanying drawings and specific embodiments.

[0054] A load resource control method, first, predicts the line load and the air-conditioning load on the line by time period according to the historical data of the load resources; then, according to the power grid constraint condition, the line load optimal value is calculated with the goal of minimizing the line load fluctuation while maintaining the predicted value of the air-conditioning load unchanged; then, the line load optimal value of the next time period is corrected according to the actual value of the line load in the previous time period and the line load correction value of the current time period; finally, the charging time period of all charging piles on the line is comprehensively scheduled according to the line load correction value of the next time period to form the charging pile distribution scheduling instruction for the next time period; a continuous time period that completes the minimum power requirement before the latest charging completion time is taken as the necessary charging time period, and other time periods are taken as selective charging time periods, and the peak shaving and valley filling of the line load is achieved by adjusting the start time of the necessary charging time period and randomly combining the selective charging time periods of all charging piles or combining them according to priority.

[0055] like Figure 1 As shown, it is a structural block diagram of a platform for implementing the above-mentioned load resource control method, including a scheduling platform and a charging pile. The scheduling platform is provided with a historical data acquisition module, a line load prediction module, an air conditioning load prediction module, a line load optimization module, a response day operation data acquisition module, a line load correction module, a charging plan acquisition module and a charging pile distribution scheduling module. The charging pile includes a battery power acquisition module, a charging mode setting module, a charging time calculation module and a distribution instruction execution module.

[0056] like Figure 1 As shown, in the dispatching platform: the historical data acquisition module is used to collect historical data of load resources; the line load prediction module predicts the line load of each time period according to the historical data of load resources, and obtains the line load prediction value of each time period; the air conditioning load prediction module predicts the air conditioning load of each time period according to the historical data of load resources, and obtains the air conditioning load prediction value of each time period; the line load optimization module optimizes the line load prediction value in combination with the grid constraint conditions on the premise of meeting the air conditioning load prediction value and the total load demand of the response day, and calculates the optimal line load value of each time period; the response day operation data acquisition module is used to collect load resources The response daily operation data includes the actual line load value of each time period; the line load correction module corrects the optimal line load value of the next time period according to the actual line load value of the previous time period and the line load correction value of the current time period; the charging plan acquisition module is used to collect the charging plan of the charging pile, including the latest charging completion time, the rounded-up value of the total charging time that meets the minimum power plan, and the rounded-up value of the total charging time that meets the specified power plan; the charging pile distribution scheduling module comprehensively schedules the charging time period of the charging pile according to the charging plan of all charging piles on the line and the line load correction value of the next time period, and forms the charging pile distribution scheduling instruction for the next time period.

[0057] like Figure 1 As shown, in the charging pile: the battery power acquisition module acquires the battery charge state after the electric vehicle is connected to the charging pile; the charging mode setting module is used to set the latest charging completion time, the minimum power plan, the specified power plan and the charging power; the charging time calculation module calculates the total time from the start time of the demand plan to the latest charging completion time, the total charging time that meets the minimum power plan and the total charging time that meets the specified power plan according to the battery charge state, the minimum power plan, the specified power plan and the charging power; the power distribution instruction execution module receives the charging pile distribution scheduling instruction for the next time period and executes the power distribution instruction at the beginning time of the next time period.

[0058] like Figure 2 FIG. 1 is a flow chart of a load resource control method, which includes the following steps:

[0059] Step 1. Obtain the historical data of load resources through the historical data acquisition module, predict the line load of each time period through the line load prediction module, and predict the air conditioning load of each time period through the air conditioning load prediction module. The time period is divided into hours, and the time period t represents the current time period, i≥1, and They represent the line load forecast value and air conditioning load forecast value in the t+i period respectively;

[0060] Line load forecast value:

[0061] Air conditioning load forecast value:

[0062] Step 2: Under the premise of keeping the predicted values ​​of air conditioning load in each period of the response day unchanged and the sum of predicted values ​​of line load in each period of the response day unchanged, optimize the predicted values ​​of line load in combination with the grid constraints to obtain the optimal values ​​of line load in each period. represents the optimal line load value in the period t+i;

[0063] Optimal line load value:

[0064] Step 3: Collect the response day operation data of the load resources in real time through the response day operation data collection module to obtain the actual line load value in the t-1 period Under the premise of satisfying the line load fluctuation rate, according to the actual line load value in period t-1 and the line load correction value for period t The optimal line load value for the period t+1 Perform real-time correction to obtain the line load correction value for the t+1 period

[0065] Where: α represents the line load fluctuation rate limit;

[0066] Step 4: Correction value of line load based on the t+1 period and air conditioning load forecast value Estimated line load adjustment space

[0067] Step 5. Collect the load demand plan of each charging pile in real time, including the latest charging completion time of the jth charging pile, the minimum power at the latest charging completion time, and the specified power at the latest charging completion time, and calculate the rounded-up value of the total time between the start time of the load demand plan of the jth charging pile and the latest charging completion time. The rounded-up value of the total charging time of the j-th charging pile that meets the minimum power plan The total charging time that meets the specified power plan is rounded up to the integer value And the load demand Q for continuous charging for one hour j , Before the latest charging completion time of the jth charging pile In Time Range, select a time length of The continuous period is regarded as the necessary charging period, and the remaining The time period is selected as the selective charging period, and K is selected from the selective charging period. j The time period is used as the charging period.

[0068] Step 6: Adjust the starting time of the necessary charging period of the jth charging pile, and select some of the charging piles that are selective charging periods in the t+1 period and have not reached the specified power plan as charging periods, so that the sum of the load demands of all charging piles in the t+1 period satisfies:

[0069]

[0070] Where: A is the weight coefficient representing the proportion of charging pile load, and B is the constant representing the basic load;

[0071] Step 7. In the t+1 period, according to Q j (t+1) distribute power to the jth charging pile;

[0072] Step 8, t=t+1, return to Step 3.

[0073] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the above embodiments do not limit the present invention in any form, and any technical solution obtained by equivalent replacement or equivalent transformation falls within the protection scope of the present invention.

Claims

1. A load resource control method, characterized in that: First, the line load and the air conditioning load on the line are predicted by time period according to the historical data of load resources; then, according to the grid constraints, the optimal line load value is calculated with the goal of minimizing line load fluctuation while maintaining the predicted value of air conditioning load unchanged; then, the optimal line load value for the next time period is corrected according to the actual value of the line load in the previous time period and the corrected value of the line load in the current time period; finally, the charging time period of all charging piles on the line is comprehensively dispatched according to the corrected value of the line load in the next time period, and the charging pile distribution dispatching instructions for the next time period are formed; A continuous period that completes the minimum power requirement before the latest charging completion time is regarded as a necessary charging period, and other periods are regarded as selective charging periods. By adjusting the start time of the necessary charging period and randomly combining the selective charging periods of all charging piles or combining them according to priority, peak shaving and valley filling of the line load can be achieved.

2. The load resource control method according to claim 1, characterized in that: The method for comprehensive scheduling of the charging period of all charging piles on the line is: collect the load demand plan of each charging pile in real time, including the latest charging completion time of the jth charging pile, the minimum power at the latest charging completion time, and the specified power at the latest charging completion time, and calculate the rounded-up value of the total time between the start time of the load demand plan of the jth charging pile and the latest charging completion time The rounded-up value of the total charging time of the j-th charging pile that meets the minimum power plan The total charging time that meets the specified power plan is rounded up to the nearest integer. And the load demand Q for continuous charging for one hour j , Before the latest charging completion time of the jth charging pile In Time Range, select a time length of A continuous period of time is regarded as the necessary charging period, and the remaining The time period is used as the selective charging period, and the selective charging period is divided into time periods in units of hours; If the t+1 period is the necessary charging period for the jth charging pile, or is the selective charging period for the jth charging pile but is selected as the charging period, then the load demand of the jth charging pile in the t+1 period is Q j , otherwise the load demand of the jth charging pile in the t+1 period is 0; according to the line load correction value in the t+1 period, the load demand of all charging piles on the line is comprehensively dispatched to form the charging pile distribution dispatching instruction in the t+1 period to achieve peak shaving and valley filling of the line load.

3. The load resource control method according to claim 2, characterized in that: If the jth charging pile proposes a load demand plan in period t, and Then the starting time of the necessary charging period of the jth charging pile is set; if the jth charging pile proposes a load demand plan in period t, and The starting time of the necessary charging period of the jth charging pile is planned based on the line load correction value of the t+1 period and the load demand of all charging piles. The starting time of the necessary charging period of the jth charging pile is the starting time of the t+1 period at the earliest. If a charging pile starts the necessary charging period in the t+1 period, the starting time of the necessary charging period is the starting time of the t+1 period, and charging starts at the starting time of the t+1 period until the minimum power plan is reached. If a charging pile is a selective charging period in the t+1 period, but is selected as a charging period, charging will start at the beginning of the t+1 period until the end of the t+1 period or the specified power plan is reached.

4. The load resource control method according to claim 2, characterized in that: According to the line load correction value of the t+1 period, the load demand of all charging piles on the line is comprehensively dispatched to form the charging pile distribution dispatch instruction of the t+1 period, which is specifically: adjust the starting time of the necessary charging period of the jth charging pile, and select some charging piles that are selective charging periods in the t+1 period and have not reached the specified power plan as charging periods, so that the sum of the load demands of all charging piles in the t+1 period meets: in: It represents the line load adjustment space in the t+1 period, A is the weight coefficient representing the proportion of charging pile load, and B is the constant representing the basic load.

5. The load resource control method according to claim 1, characterized in that: The method comprises the following steps: Step 1. Obtain historical data of load resources, predict line load and air conditioning load in each period, and divide the period into hours. Period t represents the current period, i≥1, and They represent the line load forecast value and air conditioning load forecast value in the t+i period respectively; Line load forecast value: Air conditioning load forecast value: Step 2: On the premise of meeting the predicted value of air conditioning load and responding to the total load demand of the day, optimize the predicted value of line load in combination with the grid constraints and calculate the optimal value of line load in each period. represents the optimal line load value in the period t+i; Optimal line load value: Step 3: Collect the response daily operation data of load resources in real time to obtain the actual line load value in the t-1 period Under the premise of satisfying the line load fluctuation rate, according to the actual line load value in period t-1 and the line load correction value for period t The optimal line load value for the period t+1 Perform real-time correction to obtain the line load correction value for the t+1 period Where: α represents the line load fluctuation rate limit; Step 4: Correction value of line load based on the t+1 period and air conditioning load forecast value Estimated line load adjustment space Step 5. Collect the load demand plan of each charging pile in real time, including the latest charging completion time of the jth charging pile, the minimum power at the latest charging completion time, and the specified power at the latest charging completion time, and calculate the rounded-up value of the total time between the start time of the load demand plan of the jth charging pile and the latest charging completion time. The rounded-up value of the total charging time of the j-th charging pile that meets the minimum power plan The total charging time that meets the specified power plan is rounded up to the nearest integer. And the load demand Q for continuous charging for one hour j , Before the latest charging completion time of the jth charging pile In Time Range, select a time length of The continuous period is regarded as the necessary charging period, and the remaining The time period is selected as the selective charging period, and K is selected from the selective charging period. j The time period is used as the charging period. Step 6: Adjust the starting time of the necessary charging period of the jth charging pile, and select some of the charging piles that are selective charging periods in the t+1 period and have not reached the specified power plan as charging periods, so that the sum of the load demands of all charging piles in the t+1 period satisfies: Where: A is the weight coefficient representing the proportion of charging pile load, and B is the constant representing the basic load; Step 7. In the t+1 period, according to Q j (t+1) distribute power to the jth charging pile; Step 8, t=t+1, return to Step 3.

6. A load resource control platform, characterized in that: It includes a dispatching platform and a charging pile. The dispatching platform is provided with a historical data acquisition module, a line load prediction module, an air conditioning load prediction module, a line load optimization module, a response day operation data acquisition module, a line load correction module, a charging plan acquisition module and a charging pile power distribution dispatching module. The charging pile includes a battery power acquisition module, a charging mode setting module, a charging time calculation module and a power distribution instruction execution module; The historical data collection module is used to collect historical data of load resources; The line load prediction module predicts the line load in each time period based on the historical data of the load resources to obtain the line load prediction value in each time period; The air conditioning load prediction module predicts the air conditioning load in each time period according to the historical data of the load resources to obtain the predicted value of the air conditioning load in each time period; The line load optimization module optimizes the line load prediction value in combination with the grid constraints and calculates the optimal line load value for each period, on the premise of satisfying the air conditioning load prediction value and responding to the total load demand of the day; The response day operation data collection module is used to collect the response day operation data of the load resources, including the actual value of the line load in each time period; The line load correction module corrects the optimal line load value for the next period according to the actual line load value for the previous period and the line load correction value for the current period; The charging plan collection module is used to collect the charging plan of the charging pile, including the latest charging completion time, the rounded-up value of the total charging time that meets the minimum power plan, and the rounded-up value of the total charging time that meets the specified power plan; The charging pile power distribution scheduling module performs comprehensive scheduling of the charging period of the charging piles according to the charging plans of all charging piles on the line and the line load correction value of the next period, and forms the charging pile power distribution scheduling instructions for the next period; The battery power collection module collects the battery charge state after the electric vehicle is connected to the charging pile; The charging mode setting module is used to set the latest charging completion time, the minimum power plan, the specified power plan and the charging power; The charging time calculation module calculates the total time from the start time of the demand plan to the latest charging completion time, the total charging time that meets the minimum power plan, and the total charging time that meets the specified power plan according to the battery state of charge, the minimum power plan, the specified power plan, and the charging power; The power distribution instruction execution module receives the charging pile power distribution scheduling instruction for the next time period and executes the power distribution instruction at the beginning of the next time period.

7. The load resource control platform according to claim 6, characterized in that: For the jth charging pile, based on the battery charge state collected by the battery charge collection module and the latest charging completion time, the minimum power at the latest charging completion time and the specified power at the latest charging completion time collected by the charging mode setting module, the total duration between the start time of the load demand plan and the latest charging completion time of the charging pile is calculated and rounded up to the integer value. The total charging time that meets the minimum power plan is rounded up to the nearest integer. The total charging time that meets the specified power plan is rounded up to the nearest integer. And the load demand Q for continuous charging for one hour j , The jth charging station will and Q j Sent to the charging pile power distribution scheduling module; before the latest charging completion time of the jth charging pile In Time Range, select a time length of A continuous period of time is regarded as the necessary charging period, and the remaining The time period is used as the selective charging period, and the selective charging period is divided into time periods in units of hours; If the t+1 period is the necessary charging period for the jth charging pile, or is the selective charging period for the jth charging pile but is selected as the charging period, then the load demand of the jth charging pile in the t+1 period is Q j , otherwise the load demand of the jth charging pile in the t+1 period is 0; according to the line load correction value in the t+1 period, the load demand of all charging piles on the line is comprehensively dispatched to form the charging pile distribution dispatching instruction in the t+1 period to achieve peak shaving and valley filling of the line load.

8. The load resource control platform according to claim 7, characterized in that: The charging pile power distribution scheduling module comprehensively schedules the load requirements of all charging piles on the line according to the line load correction value of the t+1 period, and forms the charging pile power distribution scheduling instruction of the t+1 period, specifically: adjusting the starting time of the necessary charging period of the jth charging pile, and selecting some of the charging piles that are selective charging periods in the t+1 period and have not reached the specified power plan as the charging period, so that the sum of the load requirements of all charging piles in the t+1 period meets: in: It represents the line load adjustment space in the t+1 period, A is the weight coefficient representing the proportion of charging pile load, and B is the constant representing the basic load.

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