Intelligent power grid energy storage distribution scheduling system

Abstract

The invention relates to the technical field of power load monitoring, and particularly discloses an intelligent power grid energy storage distribution and scheduling system, which is characterized in that a power grid management area is divided into sub-management areas in order to realize efficient energy storage distribution and scheduling, and then the number of industrial power users and the number of residential power users in each sub-management area are sequentially acquired; calculating an electric energy distribution coefficient of each sub-management area according to the user number data of each sub-management area, then, distributing the electric energy of each sub-management area according to the electric energy distribution coefficient of each sub-management area, and meanwhile, distributing the electric energy of each sub-management area according to the electric energy distribution coefficient of each sub-management area; according to the invention, the electricity consumption change condition of each sub-management area in the peak electricity consumption period and the valley electricity consumption period is monitored in real time, and the electric energy scheduling coefficient of each sub-management area is calculated according to the electricity consumption change condition of each sub-management area; and judging whether the current sub-management area needs electric energy scheduling according to the electric energy scheduling coefficient of each sub-management area.

Description

Technical Field

[0001] The present invention relates to the technical field of power load monitoring, and in particular to a smart grid energy storage distribution and dispatching system. Background Art

[0002] With the development of economy and the improvement of people's living standards, the consumption of electric energy is increasing. Power supply enterprises need to continuously strengthen the construction and expansion of power systems to ensure the quality of power supply and meet people's growing demand for electricity. As an important means to improve the intelligence and automation level of power systems, smart grid technology can realize the networking and information sharing between various components and equipment of the power grid, and improve the operation efficiency and quality of the power grid.

[0003] However, the existing power grid energy storage system still has deficiencies in energy distribution and scheduling, and cannot achieve efficient energy storage distribution and scheduling, which affects the effective utilization of energy and the stability of the power grid. Therefore, the present invention proposes a smart grid energy storage distribution and scheduling system to solve the above problems. Summary of the invention

[0004] The purpose of the present invention is to provide a smart grid energy storage distribution and dispatching system to solve the above technical problems:

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] A smart grid energy storage distribution and dispatching system, the system comprising a data acquisition module, a data analysis module, an electric energy distribution module and an electric energy dispatching module;

[0007] The data collection module includes a user number collection unit and a power consumption collection unit;

[0008] The user number collection unit is used to collect the number of all users in the power grid management area and send it to the data analysis module;

[0009] The power consumption collection unit is used to monitor the power consumption data of each user in the power grid management area in real time and send it to the data analysis module;

[0010] The data analysis module is used to receive the data sent by the user number collection unit and the power consumption collection unit, analyze the received data, and send the analysis results to the power distribution module and the power scheduling module;

[0011] The electric energy distribution module is used to receive the analysis results sent by the data analysis module and distribute the power grid energy storage according to the results;

[0012] The electric energy dispatching module is used to receive the analysis results sent by the data analysis module and dispatch the grid energy storage according to the results.

[0013] As a further description of the solution of the present invention, the specific working mode of the data acquisition module is as follows:

[0014] The power grid management area is divided into n sub-management areas according to the substation area, and each sub-management area is numbered in the order of: 1, 2, ..., n;

[0015] Obtain the number of industrial electricity users and residential electricity users in n sub-management areas in real time;

[0016] Each day is divided into peak hours and off-peak hours, and the power consumption during the peak hours and off-peak hours of n sub-management areas is obtained in real time.

[0017] As a further description of the solution of the present invention, the working process of the data analysis module includes:

[0018] Construct the mathematical model of the electric energy allocation coefficient of the ith sub-management area, and the expression is:

[0019]

[0020] Where α1 and α2 are the weight coefficients corresponding to industrial electricity consumption and residential electricity consumption, respectively. i is the number of industrial electricity users in the ith sub-management area, R i is the number of residential electricity users in the ith sub-management area, where i belongs to n, A i is the electric energy allocation coefficient of the ith sub-management area;

[0021] The power distribution coefficients of the n sub-management areas are calculated in sequence.

[0022] As a further description of the solution of the present invention, the working process of the power distribution module also includes:

[0023] The electric energy allocation coefficients of each sub-management area are sorted from large to small, and grid energy storage is allocated to each sub-management area according to the sorting order from large to small.

[0024] As a further description of the solution of the present invention, the working process of the data analysis module also includes:

[0025] Get the time-varying function H of the peak power consumption in the i-th sub-management area during the scheduled time period i (t0 and the cable time variation function L during the valley period i (t);

[0026] Get the time variation curve H of the peak power consumption in the i-th sub-management area during the historical time period i0 (t0 and the cable variation curve L during the valley period i0 (t);

[0027] Get the time-varying function of the actual power consumption of the i-th sub-management area in the predetermined time period: B i (t) = H i (t)+L i (t);

[0028] Get the time-varying function of actual power consumption in the i-th sub-management area during the historical period: B i0 (t) = H i0 (t)+L i0 (t);

[0029] Construct a mathematical model of the electric energy dispatch coefficient of the ith sub-management area, and the expression is:

[0030]

[0031] Where t1 is the initial time point of the scheduled time period, t2 is the end time point of the scheduled time period, t3 is the initial time point of the historical time period, t4 is the end time point of the historical time period, C i is the electric energy dispatch coefficient of the i-th sub-management area.

[0032] As a further description of the solution of the present invention, the working process of the electric energy scheduling module also includes:

[0033] The obtained electric energy dispatch coefficient C of the i-th sub-management area i The threshold value C of the electric energy dispatch coefficient of the i-th sub-management area preset by the system th Compare;

[0034] If the electric energy dispatch coefficient C of the i-th sub-management area i Greater than or equal to the system preset threshold C of the electric energy dispatch coefficient of the ith sub-management area th , then the i-th sub-management area needs to perform power dispatch;

[0035] Otherwise, the i-th sub-management area does not need to perform power scheduling.

[0036] Beneficial effects of the present invention:

[0037] 1. In order to achieve efficient energy storage distribution and dispatching, the present invention divides the power grid management area into various sub-management areas, and then obtains the number of industrial electricity users and the number of residential electricity users in each sub-management area in turn, and calculates the power distribution coefficient of each sub-management area according to the user number data of each sub-management area. Then, the power size of each sub-management area is distributed according to the power distribution coefficient of each sub-management area. At the same time, the present invention monitors the changes in power consumption during peak power consumption periods and off-peak power consumption periods in each sub-management area in real time, calculates the power dispatch coefficient of each sub-management area according to the changes in power consumption in each sub-management area, and finally, judges whether the current sub-management area needs power dispatching according to the power dispatch coefficient of each sub-management area. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] The present invention will be further described below in conjunction with the accompanying drawings.

[0039] Figure 1 It is a structural schematic diagram of the smart grid energy storage distribution and dispatching system of the present invention. DETAILED DESCRIPTION

[0040] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0041] See also Figure 1 As shown, the present invention provides a smart grid energy storage distribution and scheduling system, the system includes a data acquisition module, a data analysis module, an electric energy distribution module and an electric energy scheduling module;

[0042] The data collection module includes a user number collection unit and a power consumption collection unit;

[0043] The user number collection unit is used to collect the number of all users in the power grid management area and send it to the data analysis module;

[0044] The power consumption collection unit is used to monitor the power consumption data of each user in the power grid management area in real time and send it to the data analysis module;

[0045] The data analysis module is used to receive the data sent by the user number collection unit and the power consumption collection unit, analyze the received data, and send the analysis results to the power distribution module and the power scheduling module;

[0046] The electric energy distribution module is used to receive the analysis results sent by the data analysis module and distribute the power grid energy storage according to the results;

[0047] The electric energy dispatching module is used to receive the analysis results sent by the data analysis module and dispatch the grid energy storage according to the results.

[0048] As a further description of the solution of the present invention, the specific working mode of the data acquisition module is as follows:

[0049] The power grid management area is divided into n sub-management areas according to the substation area, and each sub-management area is numbered in the order of: 1, 2, ..., n;

[0050] Obtain the number of industrial electricity users and residential electricity users in n sub-management areas in real time;

[0051] Each day is divided into peak hours and off-peak hours, and the power consumption during the peak hours and off-peak hours of n sub-management areas is obtained in real time.

[0052] Through the above technical scheme, the present invention divides the power grid management area into various sub-management areas to achieve efficient energy storage distribution and scheduling, and then obtains the number of industrial electricity users and the number of residential electricity users in each sub-management area in turn, and calculates the power distribution coefficient of each sub-management area according to the user number data of each sub-management area. Then, the power size of each sub-management area is allocated according to the power distribution coefficient of each sub-management area. At the same time, the present invention monitors the changes in power consumption during peak power consumption periods and off-peak power consumption periods in each sub-management area in real time, calculates the power dispatch coefficient of each sub-management area according to the changes in power consumption in each sub-management area, and finally, determines whether the current sub-management area needs power dispatch according to the power dispatch coefficient of each sub-management area.

[0053] As a further description of the solution of the present invention, the working process of the data analysis module includes:

[0054] Construct the mathematical model of the electric energy allocation coefficient of the ith sub-management area, and the expression is:

[0055]

[0056] Where α1 and α2 are the weight coefficients corresponding to industrial electricity consumption and residential electricity consumption, respectively. i is the number of industrial electricity users in the ith sub-management area, R i is the number of residential electricity users in the ith sub-management area, where i belongs to n, A i is the electric energy allocation coefficient of the ith sub-management area;

[0057] The power distribution coefficients of the n sub-management areas are calculated in sequence.

[0058] As a further description of the solution of the present invention, the working process of the power distribution module also includes:

[0059] The electric energy allocation coefficients of each sub-management area are sorted from large to small, and grid energy storage is allocated to each sub-management area according to the sorting order from large to small.

[0060] Through the above technical solution, this embodiment first obtains the number of industrial electricity users and residential electricity users in the i-th sub-management area, and then substitutes it into the formula Calculate the electric energy allocation coefficient of the ith sub-management area, and calculate the electric energy allocation coefficient of each sub-management area in turn, sort the electric energy allocation coefficients of each sub-management area from large to small, and allocate grid energy storage to each sub-management area according to the sorting order from large to small.

[0061] As a further description of the solution of the present invention, the working process of the data analysis module also includes:

[0062] Get the time-varying function H of the peak power consumption in the i-th sub-management area during the scheduled time period i (t) and the cable time variation function L during the valley period i (t);

[0063] Get the time variation curve H of the peak power consumption in the i-th sub-management area during the historical time period i0 (t) and the cable variation curve L during the valley period i0 (t);

[0064] Get the time-varying function of the actual power consumption of the i-th sub-management area in the predetermined time period: B i (t) = H i (t)+L i (t);

[0065] Get the time-varying function of actual power consumption in the i-th sub-management area during the historical period: B i0 (t) = H i0 (t)+L i0 (t);

[0066] Construct a mathematical model of the electric energy dispatch coefficient of the ith sub-management area, and the expression is:

[0067]

[0068] Where t1 is the initial time point of the scheduled time period, t2 is the end time point of the scheduled time period, t3 is the initial time point of the historical time period, t4 is the end time point of the historical time period, C i is the electric energy dispatch coefficient of the i-th sub-management area.

[0069] As a further description of the solution of the present invention, the working process of the electric energy scheduling module also includes:

[0070] The obtained electric energy dispatch coefficient C of the i-th sub-management area i The threshold value C of the electric energy dispatch coefficient of the i-th sub-management area preset by the system th Compare;

[0071] If the electric energy dispatch coefficient C of the i-th sub-management area i Greater than or equal to the system preset threshold C of the electric energy dispatch coefficient of the ith sub-management area th , then the i-th sub-management area needs to perform power dispatch;

[0072] Otherwise, the i-th sub-management area does not need to perform power scheduling.

[0073] Through the above technical solution, this embodiment obtains the change of power consumption during the peak period and the off-peak period of the i-th sub-management area, and then according to the formula Calculate the power dispatch coefficient of the ith sub-management area, and convert the obtained power dispatch coefficient C of the ith sub-management area into i The threshold value C of the electric energy dispatch coefficient of the i-th sub-management area preset by the system th Compare; if the power dispatch coefficient C of the i-th sub-management area i Greater than or equal to the system preset threshold C of the electric energy dispatch coefficient of the ith sub-management area th , then the i-th sub-management area needs to perform power scheduling; otherwise, the i-th sub-management area does not need to perform power scheduling.

[0074] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A smart grid energy storage distribution and dispatching system, characterized in that: The system includes a data acquisition module, a data analysis module, an electric energy distribution module and an electric energy scheduling module; The data collection module includes a user number collection unit and a power consumption collection unit; The user number collection unit is used to collect the number of all users in the power grid management area and send it to the data analysis module; The power consumption collection unit is used to monitor the power consumption data of each user in the power grid management area in real time and send it to the data analysis module; The data analysis module is used to receive the data sent by the user number collection unit and the power consumption collection unit, analyze the received data, and send the analysis results to the power distribution module and the power scheduling module; The electric energy distribution module is used to receive the analysis results sent by the data analysis module and distribute the power grid energy storage according to the results; The electric energy dispatching module is used to receive the analysis results sent by the data analysis module and dispatch the grid energy storage according to the results.

2. A smart grid energy storage distribution and dispatching system according to claim 1, characterized in that: The specific working mode of the data acquisition module is as follows: The power grid management area is divided into n sub-management areas according to the substation area, and each sub-management area is numbered in the order of: 1, 2, ..., n; Obtain the number of industrial electricity users and residential electricity users in n sub-management areas in real time; Each day is divided into peak hours and off-peak hours, and the power consumption during the peak hours and off-peak hours of n sub-management areas is obtained in real time.

3. A smart grid energy storage distribution and dispatching system according to claim 2, characterized in that: The working process of the data analysis module includes: Construct the mathematical model of the electric energy allocation coefficient of the ith sub-management area, and the expression is: Where α1 and α2 are the weight coefficients corresponding to industrial electricity consumption and residential electricity consumption, respectively. i is the number of industrial electricity users in the ith sub-management area, R i is the number of residential electricity users in the ith sub-management area, where i belongs to n, A i is the electric energy allocation coefficient of the ith sub-management area; The power distribution coefficients of the n sub-management areas are calculated in sequence.

4. A smart grid energy storage distribution and dispatching system according to claim 3, characterized in that: The working process of the electric energy distribution module also includes: The electric energy allocation coefficients of each sub-management area are sorted from large to small, and grid energy storage is allocated to each sub-management area according to the sorting order from large to small.

5. A smart grid energy storage distribution and dispatching system according to claim 2, characterized in that: The working process of the data analysis module also includes: Get the time-varying function H of the peak power consumption in the i-th sub-management area during the scheduled time period i( t0 and the cable time variation function L during the valley period i( t ) ; Get the time variation curve H of the peak power consumption in the i-th sub-management area during the historical time period i0( t0 and the cable variation curve L during the valley period i0( t ) ; Get the time-varying function of the actual power consumption of the i-th sub-management area in the predetermined time period: B i( t ) =H i( t ) +L i( t ) ; Get the time-varying function of actual power consumption in the i-th sub-management area during the historical period: B i0 (t) = H i0 (t)+L i0 (t); Construct the mathematical model of the electric energy dispatch coefficient of the ith sub-management area, and the expression is: Where t1 is the initial time point of the scheduled time period, t2 is the end time point of the scheduled time period, t3 is the initial time point of the historical time period, t4 is the end time point of the historical time period, C i is the electric energy dispatch coefficient of the i-th sub-management area.

6. A smart grid energy storage distribution and dispatching system according to claim 5, characterized in that: The working process of the electric energy scheduling module also includes: The obtained electric energy dispatch coefficient C of the i-th sub-management area i The threshold value C of the electric energy dispatch coefficient of the i-th sub-management area preset by the system th Compare; If the electric energy dispatch coefficient C of the i-th sub-management area i Greater than or equal to the system preset threshold C of the electric energy dispatch coefficient of the ith sub-management area th , then the i-th sub-management area needs to perform power dispatch; Otherwise, the i-th sub-management area does not need to perform power scheduling.

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