Distributed resource aggregation monitoring method and system based on main-distribution topological relation and medium

Abstract

The invention discloses a distributed resource aggregation monitoring method and system based on a main-distribution topological relation and a medium, and the method comprises the steps: carrying out the aggregation calculation of a distributed power supply based on a main-distribution network model according to the main-distribution network topological relation, and forming the resource aggregation information of the distributed power supply under main-distribution network equipment; constructing a distributed power supply data service client in a primary wiring diagram of the dispatching system; constructing a distributed power supply data service, and obtaining distributed power supply aggregation information under main and distribution network equipment; in a primary wiring diagram of a scheduling system, the aggregation information of the lower distributed power supply is displayed, and the reverse information is counted, so that the direct display of the aggregation operation condition of the lower distributed new energy of the main and distribution network equipment is realized, and the support capability for the new energy scheduling service is further improved through the information fusion display of the new energy and the conventional power supply.

Description

Technical Field

[0001] The present invention relates to the field of new energy power generation aggregation monitoring, and in particular to a distributed resource aggregation monitoring method, system and medium based on a master-distributor topology relationship. Background Art

[0002] In the process of building a new power system, new energy has entered a rapid development stage. With more and more distributed power sources connected to the grid, it has brought huge challenges to grid dispatching. Since the grid connection points of distributed power sources are widely distributed and huge in number, the primary wiring diagram of the dispatching system does not display the information of distributed power sources. There is an urgent need for a method to intuitively display the connection status of distributed power sources on the primary wiring diagram. Summary of the invention

[0003] Purpose of the invention: The present invention aims to provide a distributed resource aggregation monitoring method based on the main and distribution topology relationship, which can display the information of distributed power sources in the primary wiring diagram of the dispatching system; another purpose of the present invention is to provide a distributed resource aggregation monitoring system and medium based on the main and distribution topology relationship.

[0004] Technical solution: The distributed resource aggregation monitoring method based on the master-distributor topology relationship of the present invention comprises the following steps:

[0005] (1) Based on the main distribution network model, the distributed power sources are aggregated and calculated according to the main distribution network topology to form the aggregated information of the distributed power source resources under the main distribution network equipment;

[0006] (2) Construct a distributed power data service client in the primary wiring diagram of the dispatching system;

[0007] (3) Build a distributed power data service to obtain the aggregated information of distributed power supplies connected to the main distribution network equipment, and display the aggregated information of distributed power supplies connected to the main distribution network equipment in the primary wiring diagram of the dispatching system;

[0008] (4) In the primary wiring diagram of the dispatching system, reverse statistical calculations are performed on the devices with distributed power sources connected downstream to achieve aggregate monitoring of distributed resources.

[0009] Furthermore, in step (1), the distributed power resource aggregation information includes the installed capacity, real-time active power, real-time reactive power and number of distributed power sources.

[0010] Furthermore, in step (2), the distributed power data service client, based on the service bus technology, uses the device ID in the primary wiring diagram of the dispatching system as a request parameter to request the distributed power data service.

[0011] Furthermore, in step (3), the distributed power data service, based on the service bus technology, responds to the request of the distributed power data service client and returns the aggregated information of the distributed power under the main distribution network device ID.

[0012] Furthermore, in step (4), the calculation indicators of the reverse transmission statistics calculation include maximum value, minimum value, and reverse transmission power.

[0013] Furthermore, step (4) is specifically as follows:

[0014] Monitor the real-time power of the distributed power supply equipment, analyze the power flow direction, and correct the reverse flag in real time. When the power flow is negative, set flag = 1, and when the power flow is positive, set flag = 0;

[0015] Record the start time and end time of the equipment power flow reverse transmission;

[0016] Calculate the maximum and minimum values ​​of reverse output and reverse power during reverse transmission;

[0017] Maximum value of reverse output force p max for

[0018] p max =|max(p)|

[0019] Where, p is the active power sampling value;

[0020] Minimum value of reverse output force p min for

[0021] p min =|min(p)|

[0022] Backfeed power E T for

[0023]

[0024] In the formula, flag is the device reverse transmission flag, start is the reverse transmission start time, and end is the reverse transmission start time.

[0025] The distributed resource aggregation monitoring system based on the master-distributor topology relationship of the present invention includes the following modules:

[0026] Aggregation calculation module: performs aggregation calculation on the information of distributed power sources connected to the equipment according to the main distribution network topology;

[0027] Distributed power data client module: Based on service bus technology, it sends data requests to the bus service with device ID as the request parameter;

[0028] Distributed power data server module: Based on service bus technology, it responds to the client's data request, obtains the distributed power aggregation information of the device and returns it to the client;

[0029] Statistical calculation module: Calculate the maximum value, minimum value and reverse power consumption of the equipment during the reverse transmission period.

[0030] Furthermore, the reverse statistics are calculated as follows:

[0031] Monitor the real-time power of the distributed power supply equipment, analyze the power flow direction, and correct the reverse flag in real time. When the power flow is negative, set flag = 1, and when the power flow is positive, set flag = 0;

[0032] Record the start time and end time of the equipment power flow reverse transmission;

[0033] Calculate the maximum and minimum values ​​of reverse output and reverse power during reverse transmission;

[0034] Maximum value of reverse output force p max for

[0035] p max =|max(p)|

[0036] Where, p is the active power sampling value;

[0037] Minimum value of reverse output force p min for

[0038] p min =|min(p)|

[0039] Backfeed power E T for

[0040]

[0041] In the formula, flag is the device reverse transmission flag, start is the reverse transmission start time, and end is the reverse transmission start time.

[0042] The computer device of the present invention comprises a memory, a processor and a computer program stored in the memory and executable on the processor, and the steps of the above method are implemented when the processor executes the computer program.

[0043] The computer-readable storage medium of the present invention stores a computer program thereon, and the computer program implements the steps of the above method when executed by a processor.

[0044] Beneficial effect: Compared with the prior art, the present invention has the following significant advantages: based on the main distribution network model, the present invention performs aggregation calculation on distributed power sources according to the main distribution network topology relationship to form the aggregation information of distributed power source resources hanging under the main distribution network equipment; in the primary wiring diagram of the dispatching system, a distributed power source data service client is constructed; a distributed power source data service is constructed to obtain the aggregation information of distributed power sources hanging under the main distribution network equipment; in the primary wiring diagram of the dispatching system, the aggregation information of the hanging distributed power sources is displayed and the reverse information is counted, so as to realize the intuitive display of the aggregated operation status of the distributed new energy hanging under the main distribution network equipment, and further enhance the support capability for the new energy dispatching business through the information fusion display of new energy and conventional power sources. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 It is a schematic diagram of the process of the present invention. DETAILED DESCRIPTION

[0046] The present invention will be further described below in conjunction with the accompanying drawings.

[0047] The distributed resource aggregation monitoring method based on the master-distributor topology relationship of the present invention comprises the following steps:

[0048] Step 1: Based on the main distribution network model, aggregate calculation is performed on distributed power sources according to the main distribution network topology relationship to form aggregate information of distributed power resources under the main distribution network equipment.

[0049] The distributed power resource aggregation information includes: the installed capacity of the distributed power, the real-time active power, the real-time reactive power, and the number of distributed power.

[0050] Step 2: In the primary wiring diagram of the dispatching system, build a distributed power data service client.

[0051] The distributed power data service client, based on the service bus technology, uses the device ID in the primary wiring diagram of the dispatching system as a request parameter to request the distributed power data service.

[0052] Step 3: Build a distributed power data service to obtain the aggregated information of distributed power supplies connected to the main distribution network equipment.

[0053] The distributed power data service is based on the service bus technology, responds to the request of the distributed power data service client, and returns the distributed power aggregation information under the device ID.

[0054] Step 4: In the primary wiring diagram of the dispatching system, display the aggregation information of the downstream distributed power sources.

[0055] Step 5: In the primary wiring diagram of the dispatching system, perform reverse statistical calculations on the equipment with distributed power sources connected downstream.

[0056] The reverse transmission statistics calculation includes the following calculation indicators: maximum value, minimum value, and reverse transmission power. The specific steps are as follows:

[0057] Step 5.1, monitor the real-time power of the distributed power supply equipment, analyze the power flow direction, and correct the reverse flag in real time. When the power flow is negative, set flag = 1, and when the power flow is positive, set flag = 0;

[0058] Step 5.2, record the start time start and end time end of the equipment power flow reverse transmission;

[0059] Step 5.3, calculate the maximum value, minimum value and power of reverse output during reverse transmission, the formula is:

[0060] p max =|max(p)|

[0061] p: active power sampling value

[0062] p max : Maximum value of reverse output

[0063] p min =|min(p)|

[0064] p: active power sampling value

[0065] p min : Minimum value of reverse output

[0066]

[0067] flag: device reverse flag

[0068] p: active power sampling value

[0069] start: the time when the reverse transmission starts

[0070] end: the time when the reverse transmission starts

[0071] E T :Reverse power

[0072] A system for displaying distributed power aggregate information in a substation primary wiring diagram, including the following modules:

[0073] Aggregation calculation module: performs aggregation calculation on the information of distributed power sources connected to the equipment according to the main distribution network topology;

[0074] Distributed power data client module: Based on service bus technology, it sends data requests to the bus service with device ID as the request parameter;

[0075] Distributed power data server module: Based on service bus technology, it responds to the client's data request, obtains the distributed power aggregation information of the device and returns it to the client;

[0076] Statistical calculation module: Calculate the maximum value, minimum value and reverse power consumption of the equipment during the reverse transmission period.

[0077] Furthermore, the reverse statistics are calculated as follows:

[0078] Monitor the real-time power of the distributed power supply equipment, analyze the power flow direction, and correct the reverse flag in real time. When the power flow is negative, set flag = 1, and when the power flow is positive, set flag = 0;

[0079] Record the start time and end time of the equipment power flow reverse transmission;

[0080] Calculate the maximum and minimum values ​​of reverse output and reverse power during reverse transmission;

[0081] Maximum value of reverse output force p max for

[0082] p max =|max(p)|

[0083] Where, p is the active power sampling value;

[0084] Minimum value of reverse output force p min for

[0085] p min =|min(p)|

[0086] Backfeed power E T for

[0087]

[0088] In the formula, flag is the device reverse transmission flag, start is the reverse transmission start time, and end is the reverse transmission start time.

[0089] The computer device of the present invention comprises a memory, a processor and a computer program stored in the memory and executable on the processor, and the steps of the above method are implemented when the processor executes the computer program.

[0090] The computer-readable storage medium of the present invention stores a computer program, which implements the steps of the above method when executed by a processor.

Claims

1. A distributed resource aggregation monitoring method based on master-distributor topology relationship, characterized in that: The steps include: (1) Based on the main distribution network model, the distributed power sources are aggregated and calculated according to the main distribution network topology to form the aggregated information of the distributed power source resources under the main distribution network equipment; (2) Construct a distributed power data service client in the primary wiring diagram of the dispatching system; (3) Build a distributed power data service to obtain the aggregated information of distributed power supplies connected to the main distribution network equipment, and display the aggregated information of distributed power supplies connected to the main distribution network equipment in the primary wiring diagram of the dispatching system; (4) In the primary wiring diagram of the dispatching system, reverse statistical calculations are performed on the devices with distributed power sources connected downstream to achieve aggregate monitoring of distributed resources.

2. The distributed resource aggregation monitoring method based on the master-distribution topology relationship according to claim 1 is characterized in that: In step (1), the distributed power resource aggregation information includes the installed capacity, real-time active power, real-time reactive power and number of distributed power sources.

3. The distributed resource aggregation monitoring method based on the master-distribution topology relationship according to claim 1 is characterized in that: In step (2), the distributed power data service client requests the distributed power data service based on the service bus technology and takes the device ID in the primary wiring diagram of the dispatching system as a request parameter.

4. The distributed resource aggregation monitoring method based on the master-distribution topology relationship according to claim 1 is characterized in that: In step (3), the distributed power data service, based on the service bus technology, responds to the request of the distributed power data service client and returns the distributed power aggregation information under the main distribution network device ID.

5. The distributed resource aggregation monitoring method based on the master-distribution topology relationship according to claim 1 is characterized in that: In step (4), the calculation indicators of the reverse transmission statistics calculation include maximum value, minimum value, and reverse transmission power.

6. The distributed resource aggregation monitoring method based on the master-distribution topology relationship according to claim 5 is characterized in that: Step (4) is as follows: Monitor the real-time power of the distributed power supply equipment, analyze the power flow direction, and correct the reverse flag in real time. When the power flow is negative, set flag = 1, and when the power flow is positive, set flag = 0; Record the start time and end time of the equipment power flow reverse transmission; Calculate the maximum and minimum values ​​of reverse output and reverse power during reverse transmission; Maximum value of reverse output force p max For p max =|max(p)| Where, p is the active power sampling value; Minimum value of reverse output force p min for on min =|min(p)| Backfeed power E T for In the formula, flag is the device reverse transmission flag, start is the reverse transmission start time, and end is the reverse transmission start time.

7. A distributed resource aggregation monitoring system based on master-distributor topology relationship, characterized in that: Includes the following modules: Aggregation calculation module: performs aggregation calculation on the information of distributed power sources connected to the equipment according to the main distribution network topology; Distributed power data client module: Based on service bus technology, it sends data requests to the bus service with device ID as the request parameter; Distributed power data server module: Based on service bus technology, it responds to the client's data request, obtains the distributed power aggregation information of the device and returns it to the client; Statistical calculation module: Calculate the maximum value, minimum value and reverse power consumption of the equipment during the reverse transmission period.

8. The distributed resource aggregation monitoring system based on the master-distribution topology relationship according to claim 7 is characterized in that: The calculation of reverse delivery statistics is as follows: Monitor the real-time power of the distributed power supply equipment, analyze the power flow direction, and correct the reverse flag in real time. When the power flow is negative, set flag = 1, and when the power flow is positive, set flag = 0; Record the start time and end time of the equipment power flow reverse transmission; Calculate the maximum and minimum values ​​of reverse output and reverse power during reverse transmission; The maximum value of the reverse output force p max For p max =|max(p)| Where, p is the active power sampling value; Minimum value of reverse output force p min For p min =|min(p)| Backfeed power E T for In the formula, flag is the device reverse transmission flag, start is the reverse transmission start time, and end is the reverse transmission start time.

9. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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