CN-122000917-A - Power distribution network electricity-carbon coupling scheduling method, device, equipment and storage medium

CN122000917ACN 122000917 ACN122000917 ACN 122000917ACN-122000917-A

Abstract

The invention discloses a power distribution network electricity-carbon coupling scheduling method, a device, equipment and a storage medium, which are applied to the technical field of power distribution network scheduling, wherein the method comprises the steps of obtaining data; the method comprises the steps of processing data to obtain source load power prediction data and initial node carbon potential, constructing a double-layer coupling scheduling framework comprising a generator carbon flow density calculation layer and an electricity-carbon multi-target optimization layer, inputting the initial node carbon potential into the electricity-carbon multi-target optimization layer to be processed to obtain a power flow distribution result and net injection power data, updating the initial node carbon potential through the generator carbon flow density calculation layer based on the power flow distribution result and the net injection power data to obtain node updating carbon potential, judging whether the node updating carbon potential and the node carbon potential of the previous iteration meet convergence conditions, and determining an electricity-carbon coupling scheduling scheme. The method provided by the invention can solve the technical problem that the traditional scheduling method only focuses on minimizing cost and ignoring the carbon trade market mechanism and the carbon emission reduction target.

Inventors

ZHOU QUAN
FANG JIAN
CHEN JIAXI
ZHOU SHEYU
YANG LI
ZHU YUHAO
GU JITING
YANG KAI
WANG PENG
WANG XIRAN
CHEN NING
WANG MUFAN
LI LI
HUANG JINGJING

Assignees

国网浙江省电力有限公司经济技术研究院

Dates

Publication Date: 20260508
Application Date: 20251231

Claims (10)

1. An electricity-carbon coupling scheduling method for a power distribution network is characterized by comprising the following steps: acquiring real-time operation data and daily carbon emission intensity data of a target power distribution network; Performing rolling prediction processing on the real-time operation data based on an error correction technology to obtain source load power prediction data of a target power distribution network; constructing a double-layer coupling scheduling framework comprising a producer and consumer carbon flow density calculation layer and an electric-carbon multi-objective optimization layer; Inputting the initial node carbon potential into an electric-carbon multi-target optimization layer in the double-layer coupling scheduling architecture for processing by taking the minimum comprehensive scheduling cost of a target power distribution network as a target to obtain a tide distribution result and net injection power data of the target power distribution network, wherein the comprehensive scheduling cost at least comprises an operation cost and a carbon transaction cost; Updating the initial node carbon potential by a producer and consumer carbon flow density calculation layer in the double-layer coupling scheduling framework based on the tide distribution result and the net injection power data to obtain node updated carbon potential; Judging whether the node updating carbon potential and the node carbon potential of the previous iteration meet a convergence condition, returning the node updating carbon potential as the current node carbon potential to the electric-carbon multi-target optimization layer for iterative processing if the node updating carbon potential and the node carbon potential of the previous iteration meet the convergence condition, and determining an electric-carbon coupling scheduling scheme based on the tide distribution result and the net injection power data if the node updating carbon potential and the node carbon potential of the previous iteration meet the convergence condition.
2. The power distribution network electricity-carbon coupling scheduling method according to claim 1, wherein the performing rolling prediction processing on the real-time operation data based on an error correction technology to obtain source load power prediction data of a target power distribution network comprises: The real-time operation data comprises voltage data and output data; Performing prediction error processing on the voltage data and the output data to obtain a real-time prediction error value; and performing deviation superposition correction processing on the real-time prediction error value by using an error continuous extrapolation technology to obtain source load power data of the target power distribution network.
3. The power distribution network electricity-carbon coupling scheduling method according to claim 2, wherein the performing deviation superposition correction processing on the real-time prediction error value by using an error continuous extrapolation technology to obtain source load power data of the target power distribution network includes: Performing extrapolation prediction processing on the real-time prediction error value by using an error continuous extrapolation technology to obtain an extrapolation error sequence; and performing deviation superposition correction processing on the extrapolation error sequence to obtain source load power data of the target power distribution network.
4. The method for power distribution network electric-carbon coupling scheduling according to claim 1, wherein the step of inputting the initial node carbon potential to an electric-carbon multi-objective optimization layer in the double-layer coupling scheduling architecture for processing to obtain a power flow distribution result and net injection power data of the objective power distribution network comprises the steps of: processing the initial node carbon potential by using a node carbon potential-source charge power mapping modeling technology to obtain a source charge output constraint set; And inputting the source load output constraint set to an electric-carbon multi-target optimization layer in the double-layer coupling scheduling framework for processing to obtain a power flow distribution result and net injection power data of the target power distribution network.
5. The method for power distribution network electric-carbon coupling scheduling according to claim 1, wherein updating the initial node carbon potential by a producer-consumer carbon flow density calculation layer in the dual-layer coupling scheduling architecture based on the power flow distribution result and the net injection power data to obtain a node updated carbon potential comprises: Processing the tide distribution result and the net injection power data by using a carbon flow tracking technology to obtain carbon flow density distribution data of the producer and the consumer of each node; and inputting the carbon flow density distribution data of the producer and the consumer of each node into a producer and consumer carbon flow density calculation layer in the double-layer coupling scheduling framework to update the initial node carbon potential, so as to obtain node updated carbon potential.
6. The method for power distribution network electric-carbon coupling scheduling according to claim 1, wherein the determining whether the node update carbon potential and the node carbon potential of the previous iteration satisfy the convergence condition comprises: Judging whether master-slave game iteration converges or not by taking the relative variable quantity of the comprehensive scheduling cost of the target power distribution network as a criterion; if the current flow is not converged, updating the carbon potential by using the nodes, and entering the next round of producer-consumer carbon flow density calculation layer optimization until the system trend distribution and the carbon flow distribution are converged cooperatively.
7. The power distribution network electricity-carbon coupling scheduling method of claim 1, further comprising, after determining the electricity-carbon coupling scheduling scheme: And sequentially carrying out power flow convergence verification processing and N-1 security verification processing on the electric-carbon coupling scheduling scheme.
8. An electricity-carbon coupling scheduling device for a power distribution network, comprising: The acquisition module is used for acquiring real-time operation data and daily carbon emission intensity data of the target power distribution network; The prediction module is used for performing rolling prediction processing on the real-time operation data based on an error correction technology to obtain source load power prediction data of a target power distribution network; The construction module is used for constructing a double-layer coupling scheduling framework comprising a producer carbon flow density calculation layer and an electric-carbon multi-objective optimization layer; The optimization module is used for inputting the initial node carbon potential into an electric-carbon multi-target optimization layer in the double-layer coupling scheduling architecture for processing by taking the minimum comprehensive scheduling cost of the target power distribution network as a target to obtain a tide distribution result and net injection power data of the target power distribution network, wherein the comprehensive scheduling cost at least comprises an operation cost and a carbon transaction cost; The updating module is used for updating the initial node carbon potential through a producer-consumer carbon flow density calculating layer in the double-layer coupling scheduling framework based on the tide distribution result and the net injection power data to obtain node updated carbon potential; The judgment module is used for judging whether the node updating carbon potential and the node carbon potential of the previous iteration meet a convergence condition or not, returning the node updating carbon potential serving as the current node carbon potential to the electric-carbon multi-target optimization layer for iterative processing if the node updating carbon potential and the node carbon potential of the previous iteration meet the convergence condition, and determining an electric-carbon coupling scheduling scheme based on the tide distribution result and the net injection power data if the node updating carbon potential and the node carbon potential of the previous iteration meet the convergence condition.
9. An electricity-carbon coupled scheduling device for an electricity distribution network, comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, the processor implementing the electricity-carbon coupled scheduling method for an electricity distribution network according to any one of claims 1 to 7 when the computer program is executed by the processor.
10. A computer readable storage medium, wherein the computer readable storage medium stores a computer program, and when the computer program is executed by a device where the computer readable storage medium is located, the method for electric-carbon coupling scheduling of a power distribution network according to any one of claims 1 to 7 is implemented.

Description

Power distribution network electricity-carbon coupling scheduling method, device, equipment and storage medium Technical Field The invention relates to the technical field of power distribution network scheduling, in particular to a power distribution network electricity-carbon coupling scheduling method, device and equipment and a storage medium. Background The energy industry is a key field for realizing deep emission reduction. The power distribution network is an important component of a novel power system and is a key link for promoting new energy grid-connected consumption. The traditional scheduling method generally aims at minimizing cost, optimizes the output distribution of each generator set under the constraint conditions of meeting load requirements, upper and lower limits of output of the generator set, line transmission capacity and the like, only considers electric power and electric quantity balance, but the method cannot adapt to an operation mode under a carbon transaction market mechanism, cannot reduce carbon transaction cost through optimal scheduling, is difficult to realize carbon emission reduction targets while ensuring safe and stable operation of a system, and restricts low-carbon transformation of an electric power system. Disclosure of Invention The invention provides an electricity-carbon coupling scheduling method, device, equipment and storage medium for a power distribution network, which are used for solving the technical problems that only focusing cost is minimized, a carbon transaction market mechanism and a carbon emission reduction target are ignored in the traditional scheduling method, realizing accurate matching of new energy grid-connected consumption requirements, and promoting low-carbonization and high-efficiency transformation of the power distribution network by optimizing the electricity-carbon multi-target cooperation and considering the operation safety, scheduling cost economy and carbon emission reduction environmental protection of the power distribution network. In order to solve the technical problems, the invention provides an electric-carbon coupling scheduling method of a power distribution network, which comprises the following steps: acquiring real-time operation data and daily carbon emission intensity data of a target power distribution network; Performing rolling prediction processing on the real-time operation data based on an error correction technology to obtain source load power prediction data of a target power distribution network; constructing a double-layer coupling scheduling framework comprising a producer and consumer carbon flow density calculation layer and an electric-carbon multi-objective optimization layer; Inputting the initial node carbon potential into an electric-carbon multi-target optimization layer in the double-layer coupling scheduling architecture for processing by taking the minimum comprehensive scheduling cost of a target power distribution network as a target to obtain a tide distribution result and net injection power data of the target power distribution network, wherein the comprehensive scheduling cost at least comprises an operation cost and a carbon transaction cost; Updating the initial node carbon potential by a producer and consumer carbon flow density calculation layer in the double-layer coupling scheduling framework based on the tide distribution result and the net injection power data to obtain node updated carbon potential; Judging whether the node updating carbon potential and the node carbon potential of the previous iteration meet a convergence condition, returning the node updating carbon potential as the current node carbon potential to the electric-carbon multi-target optimization layer for iterative processing if the node updating carbon potential and the node carbon potential of the previous iteration meet the convergence condition, and determining an electric-carbon coupling scheduling scheme based on the tide distribution result and the net injection power data if the node updating carbon potential and the node carbon potential of the previous iteration meet the convergence condition. As one preferable solution, the rolling prediction processing is performed on the real-time operation data based on the error correction technology to obtain source load power prediction data of the target power distribution network, including: The real-time operation data comprises voltage data and output data; Performing prediction error processing on the voltage data and the output data to obtain a real-time prediction error value; and performing deviation superposition correction processing on the real-time prediction error value by using an error continuous extrapolation technology to obtain source load power data of the target power distribution network. As one preferable solution, the performing bias superposition correction processing on the real-time prediction error value by using an error continuou