CN-120978877-B - Demand side response method based on communication base station load space transfer

CN120978877BCN 120978877 BCN120978877 BCN 120978877BCN-120978877-B

Abstract

The application discloses a demand side response method, a system and a computer program product based on communication base station load space transfer, which belong to the technical field of intelligent power distribution networks and comprise the steps of equivalent transferable loads among communication nodes as active output capacities, constructing a maximum schedulable capacity calculation model of each communication node of the power distribution network and obtaining the maximum schedulable capacity of each communication node; and constructing a high-voltage distribution network dispatching optimization model, and distributing according to a given dispatching instruction to obtain the distribution output of each communication node unit of the high-voltage distribution network when the running cost and the carbon emission of the high-voltage distribution network are minimum. The application realizes the cooperative optimization of the communication network performance considering carbon emission and the economic operation of the power distribution network.

Inventors

HUANG LIUQIAN
DENG YUXI
JIANG JUNLIANG
YANG WENGUANG
XU FANGYUAN

Assignees

广东工业大学

Dates

Publication Date: 20260508
Application Date: 20250807

Claims (9)

1. A demand side response method based on communication base station load space transfer is characterized by comprising the following steps of, The transferable load among the communication nodes is equivalent to the active output capacity of each communication node, the minimum load power consumption of each communication node of the high-voltage power distribution network is set as an objective function, and a calculation model of the maximum schedulable capacity of each communication node of the power distribution network is constructed to obtain the maximum schedulable capacity of each communication node; Fitting an optimal cost curve of the high-voltage power distribution network under consideration of carbon emission according to the maximum schedulable capacity of each communication node and combining the electricity price and the carbon emission coefficient of each communication node to obtain the minimum running cost and carbon emission of the high-voltage power distribution network; According to the optimal cost curve of the high-voltage power distribution network under consideration of carbon emission and the maximum schedulable capacity of each communication node, a scheduling optimization model of the high-voltage power distribution network is constructed, distribution is carried out according to a given scheduling instruction, the distribution output of each communication node unit of the high-voltage power distribution network when the requirements of the running cost and the minimum carbon emission of the high-voltage power distribution network are met is obtained, and the demand response is realized; setting the minimum load power consumption of each communication node of the high-voltage power distribution network as an objective function, and constructing a calculation model of the maximum schedulable capacity of each communication node of the power distribution network, wherein the objective function is expressed as follows: The LD i,min represents the minimum load power consumption under the ith communication node, pbbu i represents the total power consumption generated by all indoor baseband processing units in all macro base station units cascaded under the ith communication node, and paau i represents the total power consumption generated by all active antenna units in all macro base station units cascaded under the ith communication node; The total power consumption generated by all indoor baseband processing units in all macro base station units cascaded under the ith communication node is expressed as follows: Wherein, the Representing the total static power consumption of all indoor baseband processing units in all macro base station units under the ith communication node; representing the total dynamic power consumption of all indoor baseband processing units in each macro base station unit under the ith communication node; indicating the total transmission power consumption generated when the distribution of each task packet among all macro base station units is changed.
2. The method for responding to the demand side based on the load space transfer of the communication base station as set forth in claim 1, wherein the constraint conditions of the calculation model of the maximum schedulable capacity of each communication node of the power distribution network comprise task packet distribution condition constraint, macro base station unit-to-macro base station unit task packet transfer constraint, calculation time delay constraint of each communication node processing task packet and transmission time delay constraint of each communication node transmitting the task packet through an optical network; the task package distribution constraints are expressed as follows: the distribution condition of the task packet is expressed as a variable 0-1, namely, the mth task packet is processed under the ith communication node and expressed as 1, otherwise, the mth task packet is expressed as 0; N represents the total number of communication nodes of the high-voltage distribution network, NTASK represents the total number of task packets of all communication nodes; the inter-macro base station unit task packet transfer constraints are expressed as follows: The calculation time delay constraint of each communication node for processing the task packet is expressed as follows: Wherein, the The task quantity of the mth task packet under the ith communication node is represented; representing the maximum processing capacity of the ith communication node to the task packet; the transmission time delay constraint of the task packet transmitted by the optical network under each communication node is expressed as follows: Wherein, the Representing the transmission rate of the task packet; representing a given acceptable transmission time for each task package; and the distribution condition before the migration of the mth task packet under the ith communication node is represented.
3. The method for responding to the demand side based on the load space transfer of the communication base station according to claim 2, wherein obtaining the maximum schedulable capacity of each communication node comprises obtaining total load power consumption of each communication node when the task packet is not transmitted through real-time information, and obtaining the maximum schedulable capacity of each communication node by making difference between the total load power consumption of each communication node when the task packet is not transmitted and the minimum load power consumption of each communication node when the task packet is transmitted.
4. The demand side response method based on the load space transfer of the communication base station according to claim 2, wherein the fitting the optimal cost curve of the high-voltage distribution network under consideration of carbon emission according to the maximum schedulable capacity of each communication node and combining the electricity price and the carbon emission coefficient of each communication node to obtain the minimum running cost and the carbon emission of the high-voltage distribution network comprises: S21, receiving the maximum schedulable capacity of each communication node, sequencing the maximum schedulable capacity of each communication node according to the sequence from small to large, and segmenting according to equidistant capacity; s22, inputting an mth task packet under an ith communication node of an independent variable, and setting the schedulable capacity of each communication node to be equal to the minimum schedulable capacity of a single communication node; Step S23, solving an optimal cost curve fitting model of each communication node under consideration of carbon emission, and obtaining the optimized operation cost of each communication node, the minimum value of carbon emission and the power-optimal cost point under each power point after segmentation; Step S24, judging whether the schedulable capacity of each communication node is equal to the maximum schedulable capacity of each communication node, if not, entering step S25, if so, entering step S26; Step S25, enabling the schedulable capacity of each communication node to be equal to the schedulable capacity of each communication node plus equidistant capacity, and returning to the step S23; S26, arranging all scattered points by taking the schedulable capacity of each communication node as an abscissa and the minimum value of the running cost and the carbon emission of each communication node as an ordinate to obtain a power-optimal cost dot map of equidistant capacity dots; step S27, fitting is carried out through a scattered point curve fitting algorithm, and an optimal cost curve of each communication node under consideration of carbon emission is obtained; And S28, according to the maximum schedulable capacity of each communication node after sequencing, sequentially accumulating each equidistant capacity and the corresponding total local cost, fitting an optimal cost curve of the high-voltage power distribution network under consideration of carbon emission, and obtaining the minimum running cost and the minimum carbon emission of the high-voltage power distribution network.
5. The demand side response method based on communication base station load space transfer according to claim 4, wherein the optimal cost curve fitting model of each communication node taking into account carbon emissions is expressed as follows with the lowest running cost and carbon emissions of each communication node as objective functions: Wherein, the Representing the optimal cost of the ith communication node; representing the electricity price of the ith communication node; Representing the carbon emission factor of the ith communication node; indicating that the total power consumption generated by all indoor baseband processing units in all macro base station units cascaded under the ith communication node is Carbon emissions at that time.
6. The demand side response method based on communication base station load space transfer according to claim 5, wherein considering constraint conditions of the optimal cost curve fitting model of each communication node under carbon emission includes: carbon emission constraint of each communication node, power consumption constraint of an equivalent macro base station under each communication node and task package constraint of the macro base station under each communication node; the carbon emission constraints for each communication node are expressed as follows: Wherein, the Representing the carbon emission intensity of the ith communication node in units of yuan/ton of carbon dioxide; The power consumption constraint of the equivalent macro base station under each communication node is expressed as follows: the task package constraint of the macro base station under each communication node is expressed as follows: Wherein, the Representing the minimum number of macro base station task packets under the ith communication node; and (5) representing the maximum number of task packets of the macro base station under the ith communication node.
7. A demand side response method based on load space transfer of a communication base station as claimed in claim 3, wherein the high-voltage distribution network scheduling optimization model takes the minimum value of the operation cost and the carbon emission of the high-voltage distribution network as an objective function, and the objective function is expressed as follows: Wherein, the The optimal cost of the high-voltage distribution network is represented, namely, the running cost of the high-voltage distribution network and the minimum carbon emission are represented; constraint conditions of the high-voltage distribution network dispatching optimization model comprise carbon emission constraint of each communication node, equivalent macro base station power consumption constraint under each communication node, macro base station task package constraint under each communication node and given dispatching instruction constraint.
8. A communication base station load space transfer based demand side response system for executing the communication base station load space transfer based demand side response method according to any one of claims 1 to 7, comprising one or more processors, a storage means for storing one or more programs, which when executed by the one or more processors, cause the one or more processors to implement the communication base station load space transfer based demand side response method according to any one of claims 1 to 7.
9. A computer program product comprising a computer program which, when executed by a processor, implements a communication base station load space transfer based demand side response method according to any one of claims 1 to 7.

Description

Demand side response method based on communication base station load space transfer Technical Field The application relates to the field of intelligent power distribution networks, in particular to a demand side response method based on load space transfer of a communication base station. Background With the development of high-proportion distributed new energy (such as photovoltaic, energy storage, controllable load and the like) grid connection and micro-grid, the load space transfer among communication nodes becomes an important means for optimizing the operation of the grid. Conventional scheduling methods typically treat load space transfer as simple power adjustments, handled only as electricity units, and fail to fully mine its equivalent relationship with node active power output. In the prior art, a power market scheduling method based on node marginal electricity price (LMP) reflects supply and demand relations by calculating node electricity price and distributes output by combining line transmission constraint, and a demand side response (DR) technology utilizes time-sharing/partition electricity price difference to excite load migration according to electricity price or distribution network safety requirements. However, the current power consumption of the data center continues to increase, but the prior art is still mainly focused on the performance optimization of the communication network, but cannot realize efficient load management and economic dispatch from the aspect of an electric power system, meanwhile, in the aspect of environmental protection, the economic performance and the carbon emission coefficient of load space transfer are generally independently modeled, a dynamic quotation curve and a carbon emission constraint cannot be effectively integrated, and linkage optimization is lacked, so that the economic performance and the low-carbon target are difficult to be considered by a dispatch strategy. For example, the economic modeling of node active output is mostly based on a unit power generation cost curve, a quadratic function is adopted to describe marginal cost, economic scheduling is realized by minimizing total cost, real-time price fluctuation caused by load space transfer is difficult to adapt, and optimization flexibility is insufficient. In addition, while some research attempts have combined economic dispatch and carbon emission constraints, the lack of a unified quotation curve and carbon emission curve linkage mechanism limits the overall optimization capabilities of the dispatch strategy. Disclosure of Invention The application aims to provide a communication network performance considering carbon emission and a demand side response method for economic operation of an electric power system so as to improve the economical efficiency and low carbon performance of the operation of a power grid. In order to achieve the above purpose, the technical scheme of the application is as follows: A demand side response method based on communication base station load space transfer comprises the steps of enabling transferable loads among communication nodes to be equivalent to active output capacity of each communication node, setting minimum load power consumption of each communication node of a high-voltage power distribution network as an objective function, and constructing a maximum schedulable capacity calculation model of each communication node of the power distribution network to obtain maximum schedulable capacity of each communication node; Fitting an optimal cost curve of the high-voltage power distribution network under consideration of carbon emission according to the maximum schedulable capacity of each communication node and combining the electricity price and the carbon emission coefficient of each communication node to obtain the minimum running cost and carbon emission of the high-voltage power distribution network; And constructing a high-voltage power distribution network dispatching optimization model according to the optimal cost curve under the consideration of carbon emission and the maximum dispatching capacity of each communication node of the high-voltage power distribution network, and distributing according to a given dispatching instruction to obtain the distribution output of each communication node unit of the high-voltage power distribution network when the requirements of the minimum running cost and carbon emission of the high-voltage power distribution network are met, so as to realize the demand response. Optionally, setting the minimum load power consumption of each communication node of the high-voltage power distribution network as an objective function, and constructing a calculation model of the maximum schedulable capacity of each communication node of the power distribution network, wherein the objective function is expressed as follows: Obj1.1:minLDi,min＝pbbui+paaui The LD i,min represents the minimum load power consumption under the i