A method and system for controlling electric energy based on demand side management

Abstract

The present invention discloses an electric energy control method and system based on demand side management. The problem of lack of accurate real-time load management on the low-voltage demand side in the prior art is solved. It includes a user end, a power operation end and a power control end connected by a wireless network. The power control end includes a concentrator, a plurality of power collectors and a plurality of intelligent circuit breakers. The concentrator is connected to the power operation end in communication. The concentrator is connected to each collector respectively, and the collector is connected to each intelligent circuit breaker respectively. The power operation end analyzes the peak power consumption period of the power grid and the user according to the daily average load curve of the power grid and the daily average load curve of the user, obtains users with a high overlap of the peak load periods of the power grid and the user, selects the period with the most electricity consumption within the preferred duration within the peak load period of the user overlap as the user's power scheduling period, and converts it into an instruction and sends it to the corresponding user's intelligent circuit breaker for power scheduling. Accurate and real-time load management on the low-voltage demand side is achieved.

Description

Technical Field

[0001] The present invention relates to the field of electric power technology, and in particular to an electric energy regulation method and system based on demand side management. Background Art

[0002] As the peak power load of the whole society continues to break records, the peak load regulation pressure of the power grid is increasing. In order to liberate the construction and development of multi-elastic power grids, it is urgent to develop more extensive demand response means. The low-voltage user load curve is highly matched with the power grid load curve, and the peak load period coincides. Its time characteristics and interruptibility characteristics meet the construction requirements of multi-elastic power grids.

[0003] Currently, the high-voltage demand-side response is carried out around large users. The low-voltage demand-side response cannot be implemented on a large scale because it cannot achieve accurate load remote automatic control and cannot make timely and effective responses during the response period. Although the single-phase fee-controlled energy meter has the ability to respond and control, its control function only supports the on-off of the entire household, which does not meet the concept of high-quality service. Summary of the invention

[0004] The present invention mainly solves the problem of lack of accurate real-time load management on the low-voltage demand side in the prior art, and provides an electric energy control method and system based on demand side management.

[0005] The above technical problem of the present invention is mainly solved by the following technical solution: a power control method based on demand side management, characterized in that it includes the following steps:

[0006] S1. The power operation end sets the load to be dispatched, which includes the load of contracted users and the load of invited users, and determines the candidate invited users through invitation;

[0007] S2. Obtain the historical daily load data of the power grid and the candidate invited users, and fit the daily average load curve of the power grid and the daily average load curve of each user respectively;

[0008] S3. Obtain the peak load period of the power grid and the peak load period of each user according to the area ratio;

[0009] S4. Compare the peak load period of the power grid and the peak load period of each user, obtain the overlapping period, select the overlapping period that meets the requirements and record it as the invitation period, and record the user corresponding to the invitation period as the invitation user;

[0010] S5. Select the preferred time period with the most electricity consumption in the invitation period as the scheduling period of the invitation user, and generate a dynamic scheduling instruction for the user;

[0011] S6. Generate a fixed scheduling instruction according to a fixed time period, send the fixed scheduling instruction to the smart circuit breaker of the contracted user, and send a dynamic scheduling instruction to the smart circuit breaker of the invited user.

[0012] The present invention analyzes the peak power consumption periods of the power grid and users according to the daily average load curve of the power grid and the daily average load curve of users, obtains users with high overlap between the peak load periods of the power grid and users, and performs switch control during the peak power consumption period. Since the peak power consumption periods of some users are far different from the peak power consumption periods of the power grid, these users consume less electricity during the peak power consumption periods of the power grid. If no screening is performed, these users will have less load scheduled during the peak power consumption period, and the power scheduling effect is not ideal. The present invention screens out the users whose load peak periods overlap more with the peak load periods of the power grid, and performs switch control for these users during the peak power consumption period, so that more loads are scheduled, the power scheduling effect is more obvious, and it can more accurately and better alleviate the load of the power grid during the peak power consumption period.

[0013] As a preferred solution, step S1 specifically includes:

[0014] S11. The power operation end sets the load to be dispatched, calculates the load of the contracted users according to the number of contracted users, and calculates the load of the invited users by subtracting the load of the contracted users; the load to be dispatched can be directly set and adjusted regularly according to the situation. It is also possible to predict the load value of the next day in advance through load forecasting, and then calculate the load to be dispatched by subtracting the set grid load threshold according to the operation of the power grid. Users who have installed smart circuit breakers are considered to be dispatchable users. These users participate in power dispatch in two forms: signing and inviting. The signing method is that the user signs an agreement with the power supply enterprise, and the power supply enterprise can cut off and supply power during the set dispatching period. The invitation method is that the power supply enterprise sends an invitation message to the user's user end. The invitation message includes the time period when the circuit breaker needs to be disconnected. The user operates on the user end, confirms the receipt of the invitation, and feeds back the confirmation information to the power user enterprise. The power supply enterprise cuts off and supplies power during the calculated dispatching period.

[0015] S12. The power operation end sends an invitation message to the user end of the non-contracted user;

[0016] S13. The user end returns the invitation feedback information to the power operation end according to the user operation, determines whether the invitation feedback information is agreed, and determines the user whose feedback information is agreed as the candidate invitation user.

[0017] As a preferred solution, step S2 specifically includes:

[0018] S21. Obtain the load history data of the power grid and the candidate invited users for the past n days, collect the load history data at each set time point to obtain sampling data, the time points are separated by △t minutes, and the sampling data at the same time point in history are averaged to obtain the daily average sampling data Ai of the power grid and the daily average sampling data Bi of the user, i=1, 2..., k, k=1440 / △t; the sampling data record format includes the time point and the corresponding load value. Collect and analyze the historical data of all candidate invited users.

[0019] S22. Construct the daily load coordinate system of the power grid and obtain the minimum value A of the daily average sampling data set Ai of the power grid min , set the unit load of the power grid, for example, take 5 million kw as the unit load, generate load values ​​of 5 million kw, 10 million kw, etc., as the Y-axis coordinate value, select the value that is smaller than and closest to A min The load value is determined as the starting value of the Y axis, and the unit time is set. A day is divided into several time points as the X axis coordinate values. For example, 1 hour is used as the unit time, and 24 hours are generated as the X axis coordinate values. According to the daily average sampling data Ai of the power grid, the daily average load curve of the power grid is fitted in the daily load coordinate system of the power grid;

[0020] Construct the user daily load coordinate system and obtain the minimum value B of the user daily average use data set Bi min , set the user unit load, such as 1kw as the unit load, generate load values ​​1kw, 2kw..., as the Y-axis coordinate value, select the value that is smaller than and closest to B min The load value is determined as the starting value of the Y axis, and a day is divided into several time points as the X-axis coordinate values. The user's daily average load curve is fitted in the power grid daily load coordinate system according to the user's daily average sampling data Bi.

[0021] As a preferred solution, step S3 specifically includes:

[0022] S31. The area enclosed by the coordinate system and the load curve is obtained as the power consumption area, and the power consumption area is divided at intervals of △T minutes on the X-axis to form several time-sharing areas; the coordinate system X-axis, Y-axis and load curve, as well as the line perpendicular to the X-axis at the end of the curve, together enclose the power consumption area. If △T is set to 30 minutes, a vertical line is set at every half-hour time point to divide the power consumption area, so that 48 time-sharing areas are finally divided. The number of time-sharing areas is determined according to demand, by setting the △T duration, and the △T duration is set in minutes, and the minute duration is preferably a minute duration that can be divided by 60 minutes.

[0023] S32. Calculate the area of ​​each time-sharing area, select the time-sharing area with the largest area as the central time-sharing area; the area calculation method adopts the calculation method for irregular shape areas in the prior art. For example, the time-sharing area is divided by unit lines, and the top of each unit line is connected with a straight line to form trapezoidal bars. The area of ​​each trapezoidal bar is calculated and added to obtain the approximate area of ​​the time-sharing area.

[0024] S33. With the central time-sharing area as the center, select time-sharing areas one by one on both sides, calculate the panel ratio of the time-sharing area and the central time-sharing area, and judge whether the area ratio is greater than A1. If the time-sharing area is recorded as the peak time-sharing area, select the next time-sharing area to repeat the area ratio judgment. If not, stop selecting the time-sharing area; with the central time-sharing area as the center, first select the adjacent time-sharing area to judge the area ratio. The area ratio calculation method is: (time-sharing area area / central time-sharing area) 100%, A1 is the set percentage value, such as setting A1 to 85%. When the area ratio is greater than A1, the time-sharing area is recorded as the peak time-sharing area, and then the adjacent time-sharing area of ​​the time-sharing area is selected to perform the above-mentioned area ratio judgment. Repeat this process until the area ratio of the selected time-sharing area is less than A1, then stop selecting.

[0025] S34. The peak time-sharing area and the central time-sharing area are combined as the peak area. The time period corresponding to the peak area is the peak period, thereby obtaining the peak period of the power grid load and the peak period of each user load. The peak time-sharing area and the central time-sharing area selected according to the above method are adjacent to each other, and they are combined as the peak area. Then, the peak period of the power grid load and the peak period of each user load are selected on the daily average load curve of the power grid and the daily average load curve of each user through the method of steps S31-S34.

[0026] As a preferred solution, step S4 specifically includes:

[0027] S41. Filter out the user load peak period that coincides with the grid load peak period, and obtain the coincident period as the coincident period;

[0028] S42. Determine whether the duration of the overlap period is greater than A2. If the overlap period is recorded as an invitation period, the user corresponding to the invitation period is recorded as an invitation user. A2 is the duration, such as 2 hours. Comparing the overlap period with A2 is to determine the overlap degree of the overlap period. The overlap degree reflects whether the user's power load during the peak period of the power grid is close to the power load of the power grid. The higher the overlap degree, the higher the power load of the user during the peak period of the power grid. The user is also in the peak load period. Then, the power dispatch of the user can effectively reduce the load and relieve the load pressure during the peak period of the power grid; when the overlap degree is low, it means that the user's power load during the peak period of the power grid is low. The load reduction for the user is not much, and the role in relieving the load pressure during the peak period of the power grid is small. Through the overlap judgment, select users whose power load during the peak period is close to the power load of the power grid, which has a more obvious effect on relieving the load pressure during the peak period of the power grid. When the overlap period is less than 2 hours, the overlap degree is low, which means that the dispatched load is small during this period. Some users with less dispatched load are excluded by judging the length of the overlap period. When the overlapping time period is longer than 2 hours, it is recorded as an invitation time period, and the user corresponding to the data information of the invitation time period is recorded as the invited user.

[0029] As a preferred solution, step S5 specifically includes:

[0030] S51. Set the preferred duration;

[0031] S52. Acquire adjacent time-sharing area groups whose duration is equal to the preferred duration during the invitation period, and calculate the area of ​​each time-sharing area group; a time-sharing area group is a group of time-sharing areas that meet the preferred duration and are adjacent to each other.

[0032] S53. Select the time-sharing area group with the largest area, record the time period corresponding to the time-sharing area group as the scheduling period of the invited user, and review the user's dynamic scheduling instructions.

[0033] In addition, all invited users are obtained, and the actual invited power load is obtained by adjusting 1kW for each invited user. The actual invited power load is compared with the set invited power load. If it is greater than the set invited power load, the time-sharing area group can be sorted according to the area size, and the invited users are selected from high to low areas, and the selected invited users are subject to power dispatch control. If it is less than the set invited power load, the number of invited users can be increased by adjusting the A2 value.

[0034] An electric energy control system based on demand side management includes a user end, a power operation end and an electric energy control end connected via a wireless network.

[0035] The power control end includes a concentrator, several user power collectors and several user indoor smart circuit breakers for controlling the on and off of electrical appliances. The concentrator is connected to the power operation end in communication, and the concentrator is connected to each collector respectively, and the collector is connected to each intelligent circuit breaker in the user's home respectively. The concentrator receives the dispatching instruction from the power operation end, sends it to the corresponding user power collector through the power line, and the power collector sends it to the corresponding intelligent circuit breaker;

[0036] The user end receives the dispatch information or invitation information from the power operation end, and after receiving the invitation information, returns the invitation feedback information to the power control end according to the user operation;

[0037] On the power operation side, users who need to be dispatched for power are allocated. The peak power consumption periods of the power grid and users are analyzed according to the daily average load curve of the power grid and the daily average load curve of users. Users with a high degree of overlap between the peak load periods of the power grid and users are obtained. The period with the highest power consumption within the preferred duration is selected within the overlapping peak load period of the users as the power dispatch period for the user. The dispatch period is converted into an instruction and sent to the corresponding user's intelligent circuit breaker for power dispatch.

[0038] The power operation end of the present invention sends instructions to control the user's intelligent circuit breaker to disconnect within the response time during the peak power consumption period, mobilize the user's idle load, release flexible power load, enhance the peak-load capacity of the power grid, greatly alleviate the load pressure during the peak power consumption period, achieve peak shaving and valley filling, energy saving and emission reduction, improve equipment utilization, and reduce the investment in power transmission and distribution infrastructure. The present invention is based on power carrier communication technology, and receives instructions through the power line broadband carrier channel to realize the management of the intelligent circuit breaker of the terminal circuit. It only needs to replace the original circuit breaker of the user's electrical appliance with an intelligent circuit breaker, without major modifications to the equipment, and realizes accurate remote automatic load control for the user. Since the daily load curve of most users has a high degree of matching with the daily load curve of the power grid, and the peak load period overlaps more, the present invention analyzes the peak power consumption period of the power grid and the user according to the daily average load curve of the power grid and the daily average load curve of the user, and obtains users whose peak load period of the power grid and the user overlaps more. The peak load of this part of users overlaps more with the peak load of the power grid. These users are screened out for disconnection control during the peak power consumption period, which can more accurately and better alleviate the peak load of the power grid. Users participating in electric energy dispatch are those who have signed an agreement with State Grid or received an invitation.

[0039] Therefore, the advantages of the present invention are:

[0040] Accurate and real-time compliance management of the low-voltage demand side is achieved.

[0041] During peak electricity consumption periods, commands are sent to control the user's intelligent circuit breaker to disconnect within the response time, mobilize the user's idle load, release flexible electricity load, enhance the peak-load capacity of the power grid, and greatly alleviate the load pressure during peak electricity consumption periods, achieving the effect of peak shaving and valley filling, energy conservation and emission reduction, improving equipment utilization, and reducing investment in power transmission and distribution infrastructure.

[0042] The peak periods of electricity consumption of the power grid and users are analyzed according to the daily average load curve of the power grid and the daily average load curve of users, and users whose peak load periods overlap a lot with those of the power grid are obtained. The peak load of these users overlaps a lot with the peak load of the power grid. Screening out these users and performing circuit breaker control during the peak period can more accurately and better alleviate the peak load of the power grid.

[0043] Carrier communication technology is used to receive instructions to manage the intelligent circuit breaker at the end circuit. It only requires replacing the original circuit breaker of the user's electrical appliance with an intelligent circuit breaker without major modifications to the equipment, thus achieving precise remote automatic control of the load for the user. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 It is a structural block diagram of the present invention;

[0045] Figure 2 is a daily load curve diagram of a power grid generated in the embodiment;

[0046] Figure 3 is a user daily load curve diagram generated in the embodiment;

[0047] Figure 4 is a schematic diagram of obtaining a peak period of power grid load in an embodiment;

[0048] Figure 5 It is a schematic diagram of obtaining the user load peak period in the embodiment.

[0049] 1-User end 2-Power operation end 3-Power control end 4-Concentrator 5-Power collector 6-Intelligent circuit breaker. DETAILED DESCRIPTION

[0050] The technical solution of the present invention is further specifically described below through embodiments and in conjunction with the accompanying drawings.

[0051] Example:

[0052] This embodiment is a power control system based on demand side management, such as Figure 1As shown, it includes a user terminal 1, a power operation terminal 2 and a power control terminal 3 connected through a wireless network, and the power control terminal includes a concentrator 4, a plurality of user power collectors 5 and a plurality of user indoor smart circuit breakers 6 for controlling the on and off of electrical appliances. The concentrator is connected to the power operation terminal through a wireless network, and the concentrator is connected to each household collector through a power transmission line. The collector is connected to each indoor smart circuit breaker through a power transmission line, and the smart circuit breaker is connected to the electrical socket or electrical line that needs to be regulated.

[0053] The concentrator receives the dispatching instruction from the power operation end, sends it to the corresponding user's power collector through the power line, and the power collector sends it to the corresponding intelligent circuit breaker;

[0054] The user end receives the dispatch information or invitation information from the power operation end, and after receiving the invitation information, returns the invitation feedback information to the power control end according to the user operation;

[0055] On the power operation side, users who need to be dispatched for power are allocated. The peak power consumption periods of the power grid and users are analyzed according to the daily average load curve of the power grid and the daily average load curve of users. Users with a high degree of overlap between the peak load periods of the power grid and users are obtained. The period with the highest power consumption within the preferred duration is selected within the overlapping peak load period of the users as the power dispatch period for the user. The dispatch period is converted into an instruction and sent to the corresponding user's intelligent circuit breaker for power dispatch.

[0056] During peak electricity consumption periods, the power operation end sends instructions to control the user's intelligent circuit breaker to disconnect within the response time, mobilize the user's idle load, release flexible electricity load, enhance the peak-load capacity of the power grid, and greatly alleviate the load pressure during peak electricity consumption periods, achieving the effect of peak shaving and valley filling, energy conservation and emission reduction, improving equipment utilization, and reducing investment in transmission and distribution infrastructure.

[0057] The number of low-voltage users is huge. By mobilizing the idle load of low-voltage users and responding to low-voltage demand, thousands of households can participate in the construction of multiple highly flexible power grids, awakening "sleeping resources" and contributing huge product value to the all-round evolution towards energy Internet. This has extremely important practical significance for promoting the construction and development of diversified, integrated and highly flexible power grids.

[0058] There are more than 20 million low-voltage users in the province, and their response potential is huge. Users can participate in power mobilization through the State Grid APP online in two modes: invitation and signing. This allows low-voltage users to spontaneously participate in the response and give up part of non-important power load (idle load).

[0059] Users who participate in power dispatching use smart circuit breakers to replace the original ordinary circuit breakers. After the household power lines are connected to the smart circuit breakers, they are automatically interconnected with the power operation end through power line broadband carrier communication (HPLC) (same as the principle of automatic meter search, the concentrator automatically searches for the asset number of the smart circuit breaker and communicates with the power operation end, establishes the file of the smart circuit breaker, and automatically matches it to the household number). The contract signing method is that the user signs an agreement with the power supply enterprise, and the power supply enterprise can cut off and supply electricity during the set dispatching period. The invitation method is that the power supply enterprise sends an invitation message to the user's user end. The invitation information includes the time period when the circuit breaker needs to be disconnected. The user operates on the user end, confirms the receipt of the invitation, and feeds back the confirmation information to the power user enterprise. The power supply enterprise cuts off and supplies electricity during the calculated dispatching period.

[0060] Zhejiang's current maximum electricity load is 96.28 million kilowatts. If we calculate that each low-voltage user responds to 1 kW, theoretically, more than 20 million kW of demand response capacity can be formed during the response period, accounting for about 20% of the province's maximum load, which can greatly alleviate the load pressure during peak periods of electricity consumption, achieve peak-shaving and valley-filling, and save energy and reduce emissions. Low-voltage demand-side smart switches awaken "sleeping resources" and contribute huge product value to the construction of a multi-high-elastic power grid and the all-round evolution to the energy Internet.

[0061] A method for controlling electric energy based on demand side management comprises the following steps:

[0062] S1. The power operation end sets the load to be dispatched, which includes the load of contracted users and the load of invited users, and determines the candidate invited users through invitation; specifically, it includes:

[0063] S11. The power operation end sets the load to be dispatched, calculates the load of the contracted user according to the number of contracted users, and calculates the load of the invited user by subtracting the load of the contracted user; the load to be dispatched can be directly set and adjusted regularly according to the situation, for example, the load to be dispatched is set to 10 million kW according to the potential power load situation. It is also possible to predict the power load of the next day in advance through load forecasting, and then calculate the load to be dispatched by subtracting the set grid load threshold according to the operation of the power grid. This embodiment assumes that 20 million low-voltage users in the province have installed intelligent circuit breakers, and the total load is counted, that is, the total load that can be dispatched in the response pool. The total load in the response pool includes the load of the contracted user and the load of the invited user. For example, there are 20 million kW in total, 5 million contracted users, and the load of the contracted user is 5 million kW, and the number of users who need to be invited is 15 million kW. This embodiment adopts the setting of the load to be dispatched as 10 million kW. According to the above assumption, minus the load of the contracted user of 5 million kW, there are still 5 million kW left to be invited.

[0064] S12. The power operation end sends an invitation message to the user end of the non-contracted user; the non-contracted user is the remaining 15 million users. The user end can be a mobile phone with the State Grid APP installed.

[0065] S13. After receiving the invitation information, the user chooses to accept or reject the invitation. The user terminal returns the invitation feedback information to the power operation terminal according to the user operation. The power operation terminal determines whether the invitation feedback information is agreed, and determines the user whose feedback information is agreed as the candidate invitation user.

[0066] S2. Obtain the historical daily load data of the power grid and the candidate invited users, and fit the daily average load curve of the power grid and the daily average load curve of each user respectively; the specific process includes:

[0067] S21. Obtain the load history data of the power grid and the candidate invited users for the past n days. This embodiment uses the load history data of the past 30 days. Collect the load history data at each set time point to obtain sampling data. The interval between time points is △t minutes, and △t is 20 minutes. Average the sampling data at the same time point every day in history to obtain the daily average sampling data Ai of the power grid and the daily average sampling data Bi of the user, i=1, 2..., 72; the sampling data record format includes the time point and the corresponding load value.

[0068] S22. Construct the daily load coordinate system of the power grid and obtain the minimum value A of the daily average sampling data set Ai of the power grid min , set the unit load of the power grid, generate several load values ​​as the Y-axis coordinate value, and select the value that is smaller than and closest to A min The load value is determined as the starting value of the Y axis, and the unit time is set. A day is divided into several time points as the X-axis coordinate values. The daily average load curve of the power grid is fitted in the daily load coordinate system of the power grid according to the daily average sampling data Ai of the power grid; Figure 2 The load curve of the power grid shown in the figure takes 5 million kw as the unit load and generates load values ​​of 5 million kw, 10 million kw, etc., and its minimum value A min If it is between 45 million kW and 50 million kW, 45 million kW is selected as the starting value of the Y axis. With 1 hour as the unit time, time points 1, 2...24 are generated as X-axis coordinate values. Then, the grid daily load coordinate system is constructed, and the grid daily average load curve is fitted in the grid daily load coordinate system according to the grid daily average sampling data Ai.

[0069] Construct the user daily load coordinate system and obtain the minimum value B of the user daily average use data set Bi min , set the user unit load, generate several load values ​​as the Y-axis coordinate value, and select the value that is smaller than and closest to B minThe load value is determined as the starting value of the Y axis, and a day is divided into several time points as the X axis coordinate values. According to the user's daily average sampling data Bi, the user's daily average load curve is fitted in the power grid daily load coordinate system. Figure 3 As shown, with 1kw as the unit load, the generated load values ​​are 1kw, 2kw, etc., and the minimum value is B min If it is between 0 and 1kw, 0 is the starting value of the Y axis, and 1 hour is used as the unit time to generate time points 1, 2...24 as the X axis coordinate values. Then, the user daily load coordinate system is constructed, and the user daily average load curve is fitted in the power grid daily load coordinate system according to the user daily average sampling data Bi.

[0070] S3. Obtain the peak load period of the power grid and the peak load period of each user according to the area ratio; the specific process includes:

[0071] S31. The area enclosed by the coordinate system and the load curve is obtained as the power consumption area, and the power consumption area is divided into several time-sharing areas at intervals of △T minutes on the X-axis; Figure 4 As shown in the figure, the power consumption area of ​​the daily average load curve of the power grid in the coordinate system is selected, and the area surrounded by the X-axis, Y-axis, load curve, and the line perpendicular to the X-axis at the end of the curve is used as the power consumption area. If △T is set to 30 minutes, a vertical line is set at every half-hour time point to divide the power consumption area, thus dividing 48 time-sharing areas.

[0072] S32. Calculate the area of ​​each time-sharing area, select the time-sharing area with the largest area as the central time-sharing area; the area calculation method adopts the calculation method for irregular shape areas in the prior art. For example, use unit lines to divide the time-sharing area, connect the top of each unit line with a straight line to form trapezoidal bars, calculate the area of ​​each trapezoidal bar and add them up to obtain the approximate area of ​​the time-sharing area.

[0073] S33. With the central time-sharing area as the center, select time-sharing areas one by one on both sides, calculate the panel ratio of the time-sharing area and the central time-sharing area, and judge whether the area ratio is greater than A1. If the time-sharing area is recorded as the peak time-sharing area, select the next time-sharing area to repeat the area ratio judgment. If not, stop selecting the time-sharing area; with the central time-sharing area as the center, first select the adjacent time-sharing area to judge the area ratio. The area ratio calculation method is: (time-sharing area area / central time-sharing area)*100%, A1 is the set percentage value, and A1 is set to 85% in this embodiment. When the area ratio is greater than A1, the time-sharing area is recorded as the peak time-sharing area, and then the time-sharing area adjacent to the time-sharing area is selected to perform the above-mentioned area ratio judgment. Repeat this process until the area ratio of the selected time-sharing area is less than A1, then stop selecting.

[0074] S34. The peak time-sharing area and the central time-sharing area are combined as the peak area. The time period corresponding to the peak area is the peak time period, thereby obtaining the peak time period of the power grid load and the peak time period of each user load respectively. Figure 4 As shown in the figure, the shaded part is the peak area, and the corresponding peak period is 18:30-22:00. Figure 5 As shown, according to the above steps, the peak period is obtained as 18:30-21:30 on the user's daily average load curve.

[0075] S4. Compare the peak load period of the power grid and the peak load period of each user, obtain the overlapping periods, select the overlapping periods that meet the requirements and record them as invitation periods, and record the users corresponding to the invitation periods as invited users; specifically including:

[0076] S41. Filter out the user load peak period that coincides with the grid load peak period, and obtain the overlapping period as the overlapping period; according to the above example, the overlapping period is 18:30-21:30. In this example, the grid load peak period completely covers the user load peak period. Of course, there are also cases of staggered overlap.

[0077] S42. Determine whether the overlap period is longer than A2. If so, record the overlap period as an invitation period, and record the user corresponding to the invitation period as an invited user. It takes at least two hours to dispatch user power. A2 is set to 2 hours. By comparison, select the overlap period with a duration greater than or equal to 2 hours as the invitation period, and then record the corresponding user as the invited user. Repeat the above process to select all invited users from the candidate invited users.

[0078] The time period with the highest electricity consumption in the preferred duration is selected as the scheduling period of the invited user, and a dynamic scheduling instruction for the user is generated; many of the obtained invitation periods are longer than 2 hours, but only 2 hours are needed in the power scheduling process, so the 2 hours with the highest electricity consumption need to be selected from the invitation period. The specific process includes:

[0079] S51. Set the preferred duration; the preferred duration is set to 2 hours.

[0080] S52. During the invitation period, obtain each adjacent time-sharing area group whose duration is equal to the preferred duration, and calculate the area of ​​each time-sharing area group; compare the power consumption by area, the larger the area, the more power consumption; according to the preferred duration, calculate the area of ​​the time-sharing area group composed of four adjacent time-sharing areas, and obtain the time-sharing area group with the largest area.

[0081] S53. Select the time-sharing area group with the largest area, record the time period corresponding to the time-sharing area group as the scheduling time period of the invited user, and generate a user dynamic scheduling instruction. In this example, the time-sharing area group with the largest area in the time period of 19:00-21:00 is obtained, and the corresponding time period is 19:00-21:00, which is used as the scheduling time for the corresponding invited user.

[0082] S6. Generate a fixed dispatch instruction according to the fixed time period, send the fixed dispatch instruction to the contracted user's smart circuit breaker, and send a dynamic dispatch instruction to the invited user's smart circuit breaker. The fixed time period is a time period set in advance during the peak period of the power grid, such as 18:00 to 20:00 in this embodiment, and dispatch the contracted users at a fixed time every day.

[0083] The specific embodiments described herein are merely examples of the spirit of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in similar ways, but they will not deviate from the spirit of the present invention or exceed the scope defined by the appended claims.

[0084] Although this article uses more terms such as user end, power operation end, power control end, concentrator, power collector, etc., it does not exclude the possibility of using other terms. These terms are used only to more conveniently describe and explain the essence of the present invention; interpreting them as any additional restrictions is contrary to the spirit of the present invention.

Claims

1. A method for controlling electric energy based on demand side management, characterized in that: The following steps are involved: S1. The power operation end sets the load to be dispatched, which includes the load of contracted users and the load of invited users, and determines the candidate invited users through invitation; S2. Obtain the historical daily load data of the power grid and the candidate invited users, and fit the daily average load curve of the power grid and the daily average load curve of each user respectively; S3. Obtain the power consumption area enclosed by the coordinate system and the load curve, divide the power consumption area at intervals of △T minutes on the X-axis, divide it into several time-sharing areas, calculate the area of ​​each time-sharing area, select the time-sharing area with the largest area as the central time-sharing area, select adjacent time-sharing areas, and judge the area ratio. The time-sharing area whose area ratio to the central time-sharing area is greater than A1 is the peak time-sharing area. The peak time-sharing area and the central time-sharing area are combined as the peak area, and the peak time period of the power grid load and the peak time period of each user load are obtained; S4. Compare the peak load period of the power grid and the peak load period of each user, obtain the overlapping period, select the overlapping period that meets the requirements and record it as the invitation period, and record the user corresponding to the invitation period as the invitation user; S5. Set the preferred duration, select the preferred duration with the most electricity consumption in the invitation period as the scheduling period for the user to be invited, and generate a dynamic scheduling instruction for the user; S6. Generate a fixed scheduling instruction according to a fixed time period, send the fixed scheduling instruction to the smart circuit breaker of the contracted user, and send a dynamic scheduling instruction to the smart circuit breaker of the invited user.

2. The power control method based on demand side management according to claim 1 is characterized in that Step S1 specifically includes: S11. The power operation end sets the load to be dispatched, calculates the load of the contracted users according to the number of contracted users, and calculates the load of the invited users by subtracting the load of the contracted users; S12. The power operation end sends an invitation message to the user end of the non-contracted user; S13. The user end returns the invitation feedback information to the power operation end according to the user operation, determines whether the invitation feedback information is agreed, and determines the user whose feedback information is agreed as the candidate invitation user.

3. The power control method based on demand side management according to claim 1 is characterized in that Step S2 specifically includes: S21. Obtain the load history data of the power grid and the candidate invited users for the past n days, collect the load history data at each set time point to obtain sampling data, the time points are separated by △t minutes, and the sampling data at the same time point in history are averaged to obtain the daily average sampling data Ai of the power grid and the daily average sampling data Bi of the user, i=1, 2..., k, k=1440 / △t; S22. Construct the daily load coordinate system of the power grid and obtain the minimum value A of the daily average sampling data set Ai of the power grid min , set the unit load of the power grid, generate several load values ​​as the Y-axis coordinate value, and select the value that is smaller than and closest to A min The load value is determined as the starting value of the Y axis, and the unit time is set. A day is divided into several time points as the X axis coordinate values. The daily average load curve of the power grid is fitted in the daily load coordinate system of the power grid according to the daily average sampling data Ai of the power grid; Construct the user daily load coordinate system and obtain the minimum value B of the user daily average use data set Bi min , set the user unit load, generate several load values ​​as the Y-axis coordinate value, and select the value that is smaller than and closest to B min The load value is determined as the starting value of the Y axis, and a day is divided into several time points as the X-axis coordinate values. The user's daily average load curve is fitted in the power grid daily load coordinate system according to the user's daily average sampling data Bi.

4. The method for controlling electric energy based on demand side management according to claim 3 is characterized in that Step S3 specifically includes: S31. The area enclosed by the coordinate system and the load curve is obtained as the power consumption area, and the power consumption area is divided at intervals of △T minutes on the X-axis; S32. With the central time-sharing area as the center, select time-sharing areas one by one on both sides, calculate the panel ratio of the time-sharing area and the central time-sharing area, and determine whether the area ratio is greater than A1. If the time-sharing area is recorded as the peak time-sharing area, select the next time-sharing area to repeat the area ratio determination. If not, stop selecting the time-sharing area; S33. The time period corresponding to the peak area is the peak period, thereby obtaining the peak period of the power grid load and the peak period of each user load respectively.

5. The method for controlling electric energy based on demand side management according to claim 4 is characterized in that Step S4 Specifically include: S41. Filter out the user load peak period that coincides with the grid load peak period, and obtain the coincident period as the coincident period; S42. Determine whether the duration of the overlapping period is greater than A2. If so, record the overlapping period as an invitation period, and record the user corresponding to the invitation period as an invited user.

6. The method for controlling electric energy based on demand side management according to claim 5, characterized in that Step S5 specifically includes: S51. Obtain each adjacent time-sharing area group with a duration equal to the preferred duration during the invitation period, and calculate the area of ​​each time-sharing area group; S52. Select the time-sharing area group with the largest area, record the time period corresponding to the time-sharing area group as the scheduling period of the invited user, and generate a user dynamic scheduling instruction.

7. An electric energy control system based on demand side management, using the method according to any one of claims 1 to 6, characterized in that: It includes a user terminal (1), a power operation terminal (2) and a power control terminal (3) connected via a wireless network, The power control end includes a concentrator (4), a plurality of user power collectors (5) and a plurality of user indoor intelligent circuit breakers (6) for controlling the on and off of electrical appliances. The concentrator is connected to the power operation end in communication. The concentrator is connected to each collector respectively. The collector is connected to each indoor intelligent circuit breaker of the user respectively. The concentrator receives the dispatching instruction of the power operation end and sends it to the corresponding user power collector through the power line. The power collector sends it to the corresponding intelligent circuit breaker. The user end receives the dispatch information or invitation information from the power operation end, and after receiving the invitation information, returns the invitation feedback information to the power control end according to the user operation; On the power operation side, users who need to be dispatched for power are allocated. The peak power consumption periods of the power grid and users are analyzed according to the daily average load curve of the power grid and the daily average load curve of users. Users with a high degree of overlap between the peak load periods of the power grid and users are obtained. The period with the highest power consumption within the preferred duration is selected within the overlapping peak load period of the users as the power dispatch period for the user. The dispatch period is converted into an instruction and sent to the corresponding user's intelligent circuit breaker for power dispatch.

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