A full-process auxiliary system and method for enterprise grid connection

Abstract

The present invention discloses a full-process auxiliary system and method for enterprise grid connection, which belongs to the field of grid connection process auxiliary technology, including a grid connection auxiliary platform, an information entry module, a data management module, a plan formulation module, a progress tracking module, a debugging and acceptance module, an operation monitoring module and a dynamic planning module. The grid connection auxiliary platform is used to control the operation and regulation of the full-process auxiliary system for enterprise grid connection. The present invention discloses a full-process auxiliary system and method for enterprise grid connection. In the process of enterprise access to the power grid, it is convenient to find the optimal power transmission path from the power generation end to the power grid access point, select a suitable grid connection path, improve the economy, safety and reliability of the grid connection, facilitate the operation planning and real-time scheduling of the auxiliary system, and when a line fault or equipment maintenance occurs, the generator output and power grid flow distribution can be quickly rearranged to ensure the safe and stable operation of the power grid and achieve the optimal economic scheduling.

Description

Technical Field

[0001] The present invention belongs to the technical field of grid connection process assistance, and specifically relates to an enterprise grid connection full process assistance system and method. Background Art

[0002] Enterprise grid connection refers to the process of connecting the electricity generated by the enterprise to the public power grid, which enables the electricity generated by the enterprise to be transmitted to a wider power network, realizing the sharing and optimal allocation of electricity. The enterprise grid connection process auxiliary system is an information tool designed specifically to assist enterprises in successfully completing the grid connection process. It integrates multiple functions such as policy interpretation, process guidance, technical support, and document management, aiming to improve the efficiency and quality of enterprise grid connection and reduce the risks and costs in the grid connection process;

[0003] The existing enterprise grid-connected full-process auxiliary system has too many power transmission paths from the power generation end to the grid access point during the process of the enterprise connecting to the grid, and it is impossible to determine the optimal grid-connected path, which will affect the economy, safety and reliability of the grid connection. When there is a line failure or equipment maintenance, it is impossible to quickly arrange the generator output and grid flow distribution, and the safe and stable operation of the grid cannot be ensured, which will affect the safety and stability of the power system.

[0004] In view of the above, this case proposes an enterprise grid-connected full-process auxiliary system and method, which solves the above technical problems through a solution formulation module and a dynamic planning module. Summary of the invention

[0005] The present invention aims to solve at least one of the technical problems existing in the prior art. To this end, the present invention proposes a system and method for assisting the whole process of enterprise grid connection, and solves the above technical problems through a scheme formulation module and a dynamic planning module.

[0006] In order to achieve the above object, the present invention adopts the following technical solutions:

[0007] An enterprise grid-connection full-process auxiliary system, including a grid-connection auxiliary platform, an information entry module, a data management module, a plan formulation module, a progress tracking module, a commissioning and acceptance module, an operation monitoring module and a dynamic planning module;

[0008] The grid connection auxiliary platform is used to control the operation and regulation of the enterprise grid connection full process auxiliary system;

[0009] The information entry module is used for enterprises to enter their basic information and submit specific information about grid-connected projects;

[0010] The information management module is used to check the integrity of the application materials submitted by the enterprise and to review and trace them;

[0011] The plan formulation module analyzes and evaluates the grid's acceptance capacity based on the grid-connected project information submitted by the enterprise and the real-time operation data of the grid, and formulates a grid-connected path optimization access plan;

[0012] The progress tracking module is used to track the progress of the project construction and keep abreast of the progress of the project;

[0013] The debugging and acceptance module is used to accept and debug the enterprise grid connection plan;

[0014] The operation monitoring module is used to monitor the grid-connected operation of the enterprise in real time, timely grasp the power generation status of the enterprise and the operation status of the power grid, and promptly handle abnormal situations when they are found;

[0015] The dynamic planning module is used to dynamically plan the grid-connected operation of the enterprise to achieve optimal economic scheduling.

[0016] Furthermore, the grid-connected path optimization is based on line length and loss, construction cost, environmental factors and access point rationality factors, and a mathematical model with minimum line loss and lowest construction cost as objective functions is established. The grid-connected path optimization adopts a linear programming algorithm.

[0017] Furthermore, the specific steps of the linear programming algorithm are:

[0018] Step 1: Define variables, set x ij is a binary variable indicating whether the line from node i to node j is selected as part of the grid connection path. ij =1 indicates that the line is selected. If x ij =0, it means it is not selected. In a network with n nodes, there are n(n-1) / 2 variables, defining the power flow P on the line. ij ;

[0019] Step 2: Construct the objective function, set C ij is the line construction cost from node i to node j, R ij is the resistance of the line, I ij is the current flowing through the line, and the objective function is:

[0020]

[0021] Step 3: Determine the constraint conditions. For each intermediate node k except the power generation facility node and the grid access point node, the sum of the flows flowing into the node k is equal to the sum of the flows flowing out of the node k, that is, Each line has its maximum allowed power capacity. is the maximum permissible power of the line from node to node, then To ensure that the line will not be overloaded, in order to ensure the normal operation of the power grid, the node voltage needs to be within a certain range. min and V max are the lower and upper limits of the node voltage. For each node k, V min ≤V k ≤V max , where V k Determined through power flow calculation and combined with line selection;

[0022] Step 4: Solve the linear programming problem using a standard linear programming algorithm. Start with a feasible solution and find the optimal solution by moving on the boundary of the feasible solution.

[0023] Furthermore, the mathematical model of the objective function is Z=αP1+βP2, wherein Z is the comprehensive target value, α and β are weight coefficients, P1 is the line loss, and P2 is the construction cost.

[0024] Furthermore, the dynamic programming module includes a stage division unit, a decision variable unit, a constraint condition unit, a recursive establishment unit and a calculation unit.

[0025] Furthermore, the specific steps of the dynamic programming module for dynamic programming are:

[0026] A1, stage division, divide the 24 hours of a day into one stage per hour, recorded as t = 1, 2, ..., 24, and make scheduling decisions in each stage based on the current energy resource situation and load demand;

[0027] A2, decision variables. The decision variables are mainly the output of each power generation unit. Suppose the output of the generator is P TG,t , the charging power of the energy storage system is P C,t , the discharge power is P D,t ;

[0028] A3. Dynamic programming recursive equation is established and the value function J is defined t (E t ) represents the minimum operating cost of the microgrid system starting from time t under the constraints. The operating cost includes the power generation cost, the charging and discharging cost of the energy storage system, and the possible penalty cost. The recursive equation is as follows:

[0029]

[0030] Among them, C TG (P TG,t ) is the cost function of power generation at time t, C ES (P C,t ,P D,t) is the charging and discharging cost function of the energy storage system at time t, μc and μD are the charging and discharging efficiencies of the energy storage system, respectively;

[0031] A4. Determine the optimal scheduling plan. Based on the optimal decision calculated at each stage, determine the optimal scheduling plan for the entire day.

[0032] Furthermore, the constraints include power balance constraints, energy storage system capacity constraints and power generation equipment output constraints.

[0033] Furthermore, after the debugging is completed, the debugging acceptance module submits an acceptance application and uploads the acceptance report and test data files. The power supply company evaluates the acceptance application, and the system records the acceptance process and results. A grid connection license is issued to the projects that pass the acceptance, allowing the enterprise to formally connect to the grid for power generation. For projects that fail the acceptance, rectification opinions are put forward, requiring the enterprise to rectify within a time limit.

[0034] Furthermore, the information entry module can view the project's application materials, review opinions, approval progress and other information in the system at any time to achieve information management of the materials.

[0035] An auxiliary method for an enterprise grid-connected full-process auxiliary system, the auxiliary method comprising the following steps:

[0036] S1. The enterprise submits a written application for grid connection to the local power supply company, and the application materials submitted by the enterprise are checked for completeness, reviewed and traced;

[0037] S2. Analyze and evaluate the grid's acceptance capacity, formulate a grid-connected path optimization access plan, use a linear programming algorithm to optimize the grid-connected path, establish a mathematical model with the minimum line loss and the lowest construction cost as the objective function, and find the optimal power transmission path from the power generation end to the grid access point;

[0038] S3. Dynamically plan the enterprise grid-connected system, make scheduling decisions based on the current energy resource situation and load demand, and determine the optimal scheduling plan for the entire day;

[0039] S4. The enterprise and the power supply company are successfully connected to the grid. After the access system design review is passed, the enterprise and the power supply company sign a grid connection agreement.

[0040] Compared with the prior art, the present invention has the following beneficial effects:

[0041] 1. In the present invention, by setting up a scheme formulation module, in the process of enterprises accessing the power grid, it is convenient to find the optimal power transmission path from the power generation end to the grid access point, and select a suitable grid connection path, which can improve the economy, safety and reliability of grid connection;

[0042] 2. In the present invention, by setting up a dynamic planning module, the operation planning and real-time scheduling of the auxiliary system are facilitated. When a line failure or equipment maintenance occurs, the generator output and grid flow distribution can be quickly rearranged to ensure the safe and stable operation of the grid and achieve optimal economic scheduling. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 The present invention is a block diagram of an enterprise grid-connected full-process auxiliary system and method. DETAILED DESCRIPTION

[0044] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than 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.

[0045] like Figure 1 As shown, an enterprise grid-connection full-process auxiliary system includes a grid-connection auxiliary platform, an information entry module, a data management module, a plan formulation module, a progress tracking module, a commissioning and acceptance module, an operation monitoring module and a dynamic planning module;

[0046] The grid connection auxiliary platform is used to control the operation and regulation of the enterprise's grid connection auxiliary system throughout the entire process;

[0047] The information entry module is used by enterprises to enter their basic information and submit specific information about grid-connected projects;

[0048] The information management module is used to check the integrity of the application materials submitted by the enterprise and to review and trace them;

[0049] The plan formulation module analyzes and evaluates the grid's acceptance capacity based on the grid-connected project information submitted by the enterprise and the real-time operation data of the grid, and formulates a grid-connected path optimization access plan;

[0050] The progress tracking module is used to track the progress of engineering construction and keep abreast of the progress of the project;

[0051] The commissioning and acceptance module is used to accept and commission the enterprise's grid-connected solution;

[0052] The operation monitoring module is used to monitor the grid-connected operation of the enterprise in real time, timely grasp the power generation status of the enterprise and the operation status of the power grid, and deal with abnormal situations in a timely manner;

[0053] The dynamic planning module is used to dynamically plan the grid-connected operation of the enterprise to achieve optimal economic scheduling.

[0054] It should be noted that the information entry module can view the project's application materials, review opinions, approval progress and other information in the system at any time to realize the information management of the materials. After the commissioning is completed, the commissioning and acceptance module submits the acceptance application, and uploads the acceptance report and test data files at the same time. The power supply company evaluates the acceptance application, and the system records the acceptance process and results. The grid connection license is issued to the projects that pass the acceptance, allowing the enterprise to formally connect to the grid for power generation. For the projects that fail the acceptance, rectification opinions are put forward, requiring the enterprise to rectify within a time limit;

[0055] The grid-connected path optimization is based on line length and loss, construction cost, environmental factors and access point rationality factors. A mathematical model with minimum line loss and lowest construction cost as objective functions is established. The grid-connected path optimization adopts a linear programming algorithm.

[0056] It should be noted that the longer the line, the greater the resistance. For a company with a power generation capacity of 10MW, when the length of the grid-connected line increases from 1km to 2km, assuming that the unit resistance of the line remains unchanged, the line loss may increase by about one-fold. Selecting a suitable grid access point is crucial for optimizing the grid connection path. The voltage level of the access point must match the output voltage of the power generation facility. For example, small distributed photovoltaic power generation facilities generally have an output voltage of 380V or 400V, which is suitable for access to a low-voltage distribution network, while large power stations may have a higher output voltage and need to be connected to a medium-voltage or high-voltage grid.

[0057] The specific steps of the linear programming algorithm are:

[0058] Step 1: Define variables, set x ij is a binary variable indicating whether the line from node i to node j is selected as part of the grid connection path. ij =1 indicates that the line is selected. If x ij =0, it means it is not selected. In a network with n nodes, there are n(n-1) / 2 variables, defining the power flow P on the line. ij ;

[0059] Step 2: Construct the objective function, set C ij is the line construction cost from node i to node j, R ij is the resistance of the line, I ij is the current flowing through the line, and the objective function is:

[0060]

[0061] Step 3: Determine the constraint conditions. For each intermediate node k except the power generation facility node and the grid access point node, the sum of the flows flowing into the node k is equal to the sum of the flows flowing out of the node k, that is, Each line has its maximum allowed power capacity. is the maximum permissible power of the line from node to node, then To ensure that the line will not be overloaded, in order to ensure the normal operation of the power grid, the node voltage needs to be within a certain range. min and V max are the lower and upper limits of the node voltage. For each node k, V min ≤V k ≤V max , where V k Determined through power flow calculation and combined with line selection;

[0062] Step 4: Solve the linear programming problem using a standard linear programming algorithm. Start with a feasible solution and find the optimal solution by moving on the boundary of the feasible solution.

[0063] It should be noted that after constructing the objective function and constraints, the standard linear programming solution algorithm can be used. The solution algorithm usually has mature software packages available, such as the linear programming solver in MATLAB. By inputting the objective function and constraints into the software in the prescribed format, the optimal x can be obtained. ij value, thereby determining the optimal grid connection path.

[0064] The mathematical model of the objective function is Z=αP1+βP2, where Z is the comprehensive target value, α and β are weight coefficients, P1 is the line loss, and P2 is the construction cost.

[0065] It should be noted that the optimal grid-connected path is determined by solving a mathematical model, taking into account constraints such as line length, current carrying capacity, and voltage level.

[0066] The dynamic programming module includes a stage division unit, a decision variable unit, a constraint condition unit, a recursive establishment unit and a calculation unit.

[0067] The specific steps of dynamic programming module for dynamic programming are:

[0068] A1, stage division, divide the 24 hours of a day into one stage per hour, recorded as t = 1, 2, ..., 24, and make scheduling decisions in each stage based on the current energy resource situation and load demand;

[0069] A2, decision variables. The decision variables are mainly the output of each power generation unit. Suppose the output of the generator is P TG,t , the charging power of the energy storage system is P C,t , the discharge power is P D,t ;

[0070] A3. Dynamic programming recursive equation is established and the value function J is definedt (E t ) represents the minimum operating cost of the microgrid system starting from time t under the constraints. The operating cost includes the power generation cost, the charging and discharging cost of the energy storage system, and the possible penalty cost. The recursive equation is as follows:

[0071]

[0072] Among them, C TG (P TG,t ) is the cost function of power generation at time t, C ES (P C,t ,P D,t ) is the charging and discharging cost function of the energy storage system at time t, μc and μD are the charging and discharging efficiencies of the energy storage system, respectively;

[0073] A4. Determine the optimal scheduling plan. Based on the optimal decision calculated at each stage, determine the optimal scheduling plan for the entire day.

[0074] It should be noted that the solution process is that at t = 24, assuming that the power of the energy storage system reaches a target value, at this time the value function J 24 (E 24 ) is only related to the final state of the energy storage system. Starting from t = 23, according to the recursive equation, for each possible state E t , by exhaustively enumerating decision variables to calculate the minimum value function J t (E T ), after completing the reverse recursive calculation, starting from t=1, the optimal scheduling plan for the entire day is determined based on the optimal decision calculated in each stage.

[0075] Constraints include power balance constraints, energy storage system capacity constraints, and power generation equipment output constraints.

[0076] It should be noted that at each stage t, the total power generation of the microgrid must be equal to the load demand P L,t , that is, P PV,t +P WT,t +P TG,t +(P D,t -P C,t )=P L,t , the amount of energy storage system E t must be at its minimum capacity E min and the maximum capacity E max Between, that is, E min ≤E t ≤E max , the generator output P TG,t There are minimum and maximum output limits, namely P TG,min≤P TG,t ≤P TG,max .

[0077] An auxiliary method for an enterprise grid-connected full-process auxiliary system, the auxiliary method comprising the following steps:

[0078] S1. The enterprise submits a written application for grid connection to the local power supply company, and the application materials submitted by the enterprise are checked for completeness, reviewed and traced;

[0079] S2. Analyze and evaluate the grid's acceptance capacity, formulate a grid-connected path optimization access plan, use a linear programming algorithm to optimize the grid-connected path, establish a mathematical model with the minimum line loss and the lowest construction cost as the objective function, and find the optimal power transmission path from the power generation end to the grid access point;

[0080] S3. Dynamically plan the enterprise grid-connected system, make scheduling decisions based on the current energy resource situation and load demand, and determine the optimal scheduling plan for the entire day;

[0081] S4. The enterprise and the power supply company are successfully connected to the grid. After the access system design review is passed, the enterprise and the power supply company sign a grid connection agreement.

[0082] In the embodiments provided by the present invention, it should be understood that the disclosed devices, apparatuses and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the modules is only a logical function division, and there may be other division methods in actual implementation; the modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the method of this embodiment.

[0083] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. An enterprise grid connection full process auxiliary system, characterized by: It includes grid connection auxiliary platform, information entry module, data management module, plan formulation module, progress tracking module, commissioning acceptance module, operation monitoring module and dynamic planning module; The grid connection auxiliary platform is used to control the operation and regulation of the enterprise grid connection full process auxiliary system; The information entry module is used for enterprises to enter their basic information and submit specific information about grid-connected projects; The information management module is used to check the integrity of the application materials submitted by the enterprise and to review and trace them; The plan formulation module analyzes and evaluates the grid's acceptance capacity based on the grid-connected project information submitted by the enterprise and the real-time operation data of the grid, and formulates a grid-connected path optimization access plan; The progress tracking module is used to track the progress of the project construction and keep abreast of the progress of the project; The debugging and acceptance module is used to accept and debug the enterprise grid connection plan; The operation monitoring module is used to monitor the grid-connected operation of the enterprise in real time, timely grasp the power generation status of the enterprise and the operation status of the power grid, and promptly handle abnormal situations when they are found; The dynamic planning module is used to dynamically plan the grid-connected operation of the enterprise to achieve optimal economic scheduling.

2. According to claim 1, the enterprise grid connection full process auxiliary system is characterized by: The grid-connected path optimization is based on line length and loss, construction cost, environmental factors and access point rationality factors, and a mathematical model with minimum line loss and lowest construction cost as objective functions is established. The grid-connected path optimization adopts a linear programming algorithm.

3. According to claim 2, the enterprise grid connection full process auxiliary system is characterized by: The specific steps of the linear programming algorithm are: Step 1: Define variables, set x ij is a binary variable indicating whether the line from node i to node j is selected as part of the grid connection path. ij =1 means the line is selected, if x ij =0, it means it is not selected. In a network with n nodes, there are n(n-1) / 2 variables, defining the power flow P on the line. ij ; Step 2: Construct the objective function, set C ij is the line construction cost from node i to node j, R ij is the resistance of the line, I ij is the current flowing through the line, and the objective function is: Step 3: Determine the constraint conditions. For each intermediate node k except the power generation facility node and the grid access point node, the sum of the flows flowing into the node k is equal to the sum of the flows flowing out of the node k, that is, Each line has its maximum allowed power capacity. is the maximum permissible power of the line from node to node, then To ensure that the line will not be overloaded, in order to ensure the normal operation of the power grid, the node voltage needs to be within a certain range. min and V max are the lower and upper limits of the node voltage. For each node k, V min ≤V k ≤V max , where V k Determined through power flow calculation and combined with line selection; Step 4: Solve the linear programming problem using a standard linear programming algorithm. Start with a feasible solution and find the optimal solution by moving on the boundary of the feasible solution.

4. The enterprise grid connection full process auxiliary system according to claim 2 is characterized by: The mathematical model of the objective function is Z=αP1+βP2, wherein Z is the comprehensive target value, α and β are weight coefficients, P1 is the line loss, and P2 is the construction cost.

5. The enterprise grid connection full process auxiliary system according to claim 1 is characterized by: The dynamic programming module includes a stage division unit, a decision variable unit, a constraint condition unit, a recursive establishment unit and a calculation unit.

6. The enterprise grid connection full process auxiliary system according to claim 5 is characterized by: The specific steps of the dynamic programming module for dynamic programming are: A1, stage division, divide the 24 hours of a day into one stage per hour, recorded as t = 1, 2, ..., 24, and make scheduling decisions in each stage based on the current energy resource situation and load demand; A2, decision variables. The decision variables are mainly the output of each power generation unit. Suppose the output of the generator is P TG,t , the charging power of the energy storage system is P C,t , the discharge power is P D,t ; A3. Dynamic programming recursive equation is established and the value function J is defined t (E t ) represents the minimum operating cost of the microgrid system starting from time t under the constraints. The operating cost includes the power generation cost, the charging and discharging cost of the energy storage system, and the possible penalty cost. The recursive equation is as follows: Among them, C TG (P TG,t ) is the cost function of power generation at time t, C ES (P C,t ,P D,t ) is the charging and discharging cost function of the energy storage system at time t, μc and μD are the charging and discharging efficiencies of the energy storage system, respectively; A4. Determine the optimal scheduling plan. Based on the optimal decision calculated at each stage, determine the optimal scheduling plan for the entire day.

7. The enterprise grid connection full process auxiliary system according to claim 6 is characterized by: The constraints include power balance constraints, energy storage system capacity constraints and power generation equipment output constraints.

8. The enterprise grid connection full process auxiliary system according to claim 1 is characterized by: After the commissioning is completed, the commissioning acceptance module submits an acceptance application and uploads the acceptance report and test data files. The power supply company evaluates the acceptance application, and the system records the acceptance process and results. A grid connection license is issued to projects that pass the acceptance, allowing the company to formally connect to the grid for power generation. For projects that fail the acceptance, rectification opinions are put forward, requiring the company to rectify within a time limit.

9. The enterprise grid connection full process auxiliary system according to claim 1 is characterized by: The information entry module can view the project's application materials, review opinions, approval progress and other information in the system at any time to achieve information management of the materials.

10. An auxiliary method according to any one of claims 1 to 9, characterized in that: The helper method includes the following steps: S1. The enterprise submits a written application for grid connection to the local power supply company, and the application materials submitted by the enterprise are checked for completeness, reviewed and traced; S2. Analyze and evaluate the grid's acceptance capacity, formulate a grid-connected path optimization access plan, use a linear programming algorithm to optimize the grid-connected path, establish a mathematical model with the minimum line loss and the lowest construction cost as the objective function, and find the optimal power transmission path from the power generation end to the grid access point; S3. Dynamically plan the enterprise grid-connected system, make scheduling decisions based on the current energy resource situation and load demand, and determine the optimal scheduling plan for the entire day; S4. The enterprise and the power supply company are successfully connected to the grid. After the access system design review is passed, the enterprise and the power supply company sign a grid connection agreement.

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