Power transmission and transformation project green low-carbon construction cost optimization and decision-making method, storage medium and electronic equipment
By constructing a multi-stage cost optimization model and a dual-constraint decision-making model, the problem of the disconnect between cost optimization and low-carbon construction in power transmission and transformation projects was solved, realizing cost optimization and decision-making throughout the entire process and improving the efficiency of low-carbon transformation.
Patent Information
- Application Number
- CN202511059927.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-30
- Publication Date
- 2025-11-14
AI Technical Summary
In the construction of existing power transmission and transformation projects, cost optimization and low-carbon construction are disconnected. There is a lack of a quantitative system for the entire process and a decision-making model that is adaptable to multiple scenarios, which leads to cost out-of-control or difficulty in achieving carbon reduction goals during the low-carbon transformation process.
We construct a multi-stage cost optimization model and a dual-constraint decision-making model, including cost optimization models for the design, bidding, and construction stages. By combining carbon emission reduction targets and economic objectives, we achieve cost optimization and decision-making throughout the entire process by quantifying incremental costs and constraints.
It has achieved cost quantification and optimization throughout the entire process, synergistically optimized carbon efficiency and economic goals, provided scientific cost management and decision-making tools for the green and low-carbon construction of power transmission and transformation projects, and improved the efficiency of the project's low-carbon transformation.
Smart Images
Figure CN120952835A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of power transmission and transformation engineering construction technology, specifically a method for optimizing and deciding on green and low-carbon construction costs for power transmission and transformation projects, a storage medium, and electronic equipment. Background Technology
[0002] Driven by the "dual carbon" goals, the green and low-carbon construction of power transmission and transformation projects, as a crucial component of energy infrastructure, has become an inevitable trend in the industry. Traditional cost management models for power transmission and transformation projects primarily focus on direct investment, lacking a systematic analysis of the correlation between low-carbon technology applications, life-cycle carbon reduction targets, and cost inputs. In existing technologies, cost control methods for power transmission and transformation projects are fragmented across design, bidding, and construction phases, failing to form a comprehensive low-carbon cost quantification system covering the entire process. For example, there is a lack of precise calculation models for the cost increment of low-carbon technology selection during the design phase; the impact of implementing green procurement standards on costs during the bidding phase is difficult to quantify and assess; and there is a lack of unified methods for the economic analysis of low-carbon construction schemes during the construction phase. Furthermore, in terms of coordinated decision-making regarding cost and carbon efficiency, traditional methods often focus only on a single objective, failing to establish a two-way decision-making mechanism of "carbon efficiency constraints + economic optimization," leading to problems such as cost runaway or difficulty in achieving carbon reduction targets during the low-carbon transformation process.
[0003] With the increasing emphasis on low-carbon policies for power transmission and transformation projects, there is an urgent need for a systematic approach that can deeply integrate carbon reduction goals with cost control to address shortcomings in existing technologies, such as the disconnect between cost optimization and low-carbon construction, and the lack of adaptability of decision-making models to multiple scenarios. Summary of the Invention
[0004] The purpose of this invention is to provide a method for optimizing and making decisions on the cost of green and low-carbon construction of power transmission and transformation projects, as well as a storage medium and electronic device. This invention can quantify the cost of low-carbon and green construction of power transmission and transformation projects and make optimization and decisions, thereby solving the defects of existing technologies such as the disconnect between cost optimization and low-carbon construction, and the lack of multi-scenario adaptability of decision models.
[0005] To achieve the above objectives, the technical solution adopted by the present invention is as follows:
[0006] A method for optimizing and deciding on green and low-carbon construction costs for power transmission and transformation projects, comprising:
[0007] Obtain key parameters for power transmission and transformation projects;
[0008] Based on the incremental costs generated by low-carbon construction, cost optimization models are constructed for the design stage, bidding stage, and construction stage of low-carbon construction of power transmission and transformation projects.
[0009] Construct a cost optimization model for low-carbon construction of power transmission and transformation projects;
[0010] Establish a dual-constraint decision-making model, including constructing a cost-optimal model constrained by cost objectives and a cost-optimal model constrained by cost objectives;
[0011] Compare the models and propose decision recommendations.
[0012] Furthermore, the cost optimization model for the low-carbon construction design phase of the power transmission and transformation project;
[0013]
[0014] Where ΔC1 is the incremental cost incurred during the design phase due to low-carbon construction, and ΔQ j P represents the unit change in the use of equipment / materials due to the j-th carbon reduction technology during the design phase. j Let ΔP be the unit price of the j-th carbon reduction technology; i Q represents the change in unit price of equipment / materials caused by the i-th carbon reduction technology during the design phase; i This refers to the unit using the i-th carbon reduction technology.
[0015] Furthermore, the cost optimization model for the low-carbon construction bidding stage of the power transmission and transformation project:
[0016]
[0017] Where ΔC2 is the incremental cost incurred during the bidding stage due to low-carbon construction, and ΔR p This represents the change in procurement costs resulting from the implementation of green procurement standards for P-category materials.
[0018] Furthermore, the cost optimization model for the low-carbon construction phase of the power transmission and transformation project is as follows:
[0019]
[0020] Where ΔC3 is the incremental cost incurred during the construction phase due to low-carbon construction, and ΔM k This represents the change in project costs resulting from the optimization of the k-th construction plan during the construction phase.
[0021] Furthermore, the low-carbon construction cost optimization model for power transmission and transformation projects is as follows:
[0022]
[0023] Wherein, ΔC represents the incremental cost of low-carbon construction for power transmission and transformation projects.
[0024] Furthermore, the cost-optimal model constrained by the carbon reduction target:
[0025] Its objective function is:
[0026] The constraints are:
[0027] x i ∈{0,1},for i=1,2,...,n
[0028] Where, x i ∈{0,1} indicates whether the i-th optional carbon reduction technology is adopted; LCC i Indicates the cost of the technology; Q i This indicates the carbon emission reduction achieved by the technology over its entire life cycle; Q target This is the set total carbon reduction target value.
[0029] Furthermore, the cost-optimal model constrained by the cost objective is as follows:
[0030] Objective function:
[0031] Constraints:
[0032] x i ∈{0,1},for i=1,2,...,n
[0033] Among them, C max For a given investment or budget limit, x i ∈{0,1} indicates whether the i-th optional carbon reduction technology is adopted; LCC i This represents the total lifecycle cost of the technology; Q i This indicates the carbon emission reduction achieved by the technology over its entire life cycle; Q target This is the set total carbon reduction target value.
[0034] Another objective of this invention is to provide a computer-readable storage medium storing a computer program that, when executed by a processor, implements the aforementioned method for optimizing and deciding on green and low-carbon construction costs for power transmission and transformation projects.
[0035] Another objective of this invention is to provide an electronic device, including a memory and a processor, wherein the memory stores a computer program and the processor runs the computer program to enable the electronic device to perform the aforementioned method for optimizing and deciding on the green and low-carbon construction costs of power transmission and transformation projects.
[0036] Beneficial effects:
[0037] This invention achieves cost quantification, optimization, and scientific decision-making under the goal of low-carbon construction by constructing a multi-stage cost optimization model and a dual-constraint decision-making model. It establishes a cost quantification system covering the entire process, realizing the synergistic optimization of carbon efficiency and economic objectives. This provides a scientific cost management and decision-making tool for the green and low-carbon construction of power transmission and transformation projects, demonstrating significant engineering application value and social benefits. Attached Figure Description
[0038] Figure 1 A flowchart illustrating a method for optimizing and deciding on green and low-carbon construction costs in power transmission and transformation projects. Detailed Implementation
[0039] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention. Furthermore, the technical features involved in the various embodiments of this invention described below can be combined with each other as long as they do not conflict with each other.
[0040] Example 1
[0041] like Figure 1 As shown in the figure, this embodiment provides a method for optimizing and deciding on the green and low-carbon construction costs of power transmission and transformation projects. Specifically, it includes two parts: constructing a low-carbon construction cost optimization model for power transmission and transformation projects and proposing decision-making suggestions. The purpose is to quantify the costs of low-carbon and green construction of power transmission and transformation projects and to optimize and make decisions.
[0042] Specifically, the steps are as follows:
[0043] S1. Obtain key parameters for power transmission and transformation projects; these parameters involve engineering requirements data from the design, bidding, and construction stages.
[0044] S2. Constructing a cost optimization model for the low-carbon construction design phase of power transmission and transformation projects:
[0045]
[0046] Where ΔC1 is the incremental cost incurred during the design phase due to low-carbon construction, and ΔQ j P represents the unit change in the use of equipment / materials due to the j-th carbon reduction technology during the design phase. j Let ΔP be the unit price of the j-th carbon reduction technology; i Q represents the change in unit price of equipment / materials caused by the i-th carbon reduction technology during the design phase; i This refers to the unit using the i-th carbon reduction technology.
[0047] S3. Constructing a cost optimization model for the bidding stage of low-carbon construction of power transmission and transformation projects:
[0048]
[0049] Where ΔC2 is the incremental cost incurred during the bidding stage due to low-carbon construction, and ΔR p This refers to the change in procurement costs resulting from the implementation of green procurement standards (such as low-carbon product certification and supply chain carbon footprint audit) for P-class procurement materials (such as power transmission and transformation equipment, conductors, etc.). Green procurement standards lead to higher supplier qualification requirements, which may result in an increase in the unit price of procurement, but may also lead to a decrease in costs due to large-scale procurement or technological iteration.
[0050] S4. Construct a cost optimization model for the low-carbon construction phase of power transmission and transformation projects:
[0051]
[0052] Where ΔC3 is the incremental cost incurred during the construction phase due to low-carbon construction, and ΔM k This represents the change in project costs resulting from the optimization of the k-th construction plan during the construction phase.
[0053] S5. Construct a low-carbon construction cost optimization model for power transmission and transformation projects:
[0054]
[0055] Wherein, ΔC represents the incremental cost of low-carbon construction for power transmission and transformation projects.
[0056] S6. Construct a cost-optimal model constrained by carbon reduction targets:
[0057] Its objective function is:
[0058] The constraints are:
[0059] x i ∈{0,1},for i=1,2,...,n
[0060] Where, x i ∈{0,1} indicates whether the i-th optional carbon reduction technology is adopted; LCC i Indicates the cost of the technology; Q i This indicates the carbon emission reduction achieved by the technology over its entire life cycle; Q targetThe model sets a total carbon reduction target. Its core logic is to pursue "cost optimization" under a "fixed carbon efficiency" boundary condition. Under the premise of consistent technical feasibility and engineering functional requirements, it selects the lowest-cost technology combination that meets the minimum carbon reduction constraint by quantifying the life-cycle cost of each alternative technology and its corresponding carbon reduction effect. This model emphasizes minimizing input costs when the carbon reduction target is already locked, and is a typical embodiment of the logic of "hard carbon efficiency constraint + economic optimization".
[0061] S7. Construct a cost-optimal model constrained by cost objectives:
[0062] Objective function:
[0063] Constraints:
[0064] x i ∈{0,1},for i=1,2,...,n
[0065] Among them, C max For a given investment or budget limit, x i ∈{0,1} indicates whether the i-th optional carbon reduction technology is adopted; LCC i This represents the total lifecycle cost of the technology; Q i This indicates the carbon emission reduction achieved by the technology over its entire life cycle; Q target This is the set total carbon reduction target value.
[0066] S8. Compare models and make decision recommendations.
[0067]
[0068] This embodiment provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the green and low-carbon construction cost optimization and decision-making method for power transmission and transformation projects described in Embodiment 1.
[0069] This embodiment also provides an electronic device, including a memory and a processor. The memory is used to store computer programs, and the processor runs the computer programs to enable the electronic device to execute the green and low-carbon construction cost optimization and decision-making method for power transmission and transformation projects.
[0070] Alternatively, the aforementioned electronic device may be a server.
[0071] Embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.
[0072] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.
[0073] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.
[0074] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.
[0075] Contents not described in detail in this specification are prior art known to those skilled in the art. It is hereby indicated that the above description is intended to help those skilled in the art understand this invention, but does not limit the scope of protection of this invention. Any equivalent substitutions, modifications, improvements, or simplifications of the above descriptions that do not depart from the essential content of this invention fall within the scope of protection of this invention.
Claims
1. A method for optimizing and deciding on green and low-carbon construction costs in power transmission and transformation projects, characterized in that, include: Obtain key parameters for power transmission and transformation projects; Based on the incremental costs generated by low-carbon construction, cost optimization models are constructed for the design stage, bidding stage, and construction stage of low-carbon construction of power transmission and transformation projects. Construct a cost optimization model for low-carbon construction of power transmission and transformation projects; Establish a dual-constraint decision-making model, including constructing a cost-optimal model constrained by cost objectives and a cost-optimal model constrained by cost objectives; Compare the models and propose decision recommendations.
2. The method for optimizing and deciding on green and low-carbon construction costs for power transmission and transformation projects as described in claim 1, characterized in that, The cost optimization model for the low-carbon construction design phase of power transmission and transformation projects; Where ΔC1 is the incremental cost incurred during the design phase due to low-carbon construction, and ΔQ j P represents the unit change in the use of equipment / materials due to the j-th carbon reduction technology during the design phase. j Let ΔP be the unit price of the j-th carbon reduction technology; i Q represents the change in unit price of equipment / materials caused by the i-th carbon reduction technology during the design phase; i This refers to the unit using the i-th carbon reduction technology.
3. The method for optimizing and deciding on green and low-carbon construction costs for power transmission and transformation projects as described in claim 1, characterized in that, The cost optimization model for the bidding stage of low-carbon construction of power transmission and transformation projects: Where ΔC2 is the incremental cost incurred during the bidding stage due to low-carbon construction, and ΔR p This represents the change in procurement costs resulting from the implementation of green procurement standards for P-category materials.
4. The method for optimizing and deciding on green and low-carbon construction costs for power transmission and transformation projects as described in claim 1, characterized in that, The cost optimization model for the low-carbon construction phase of power transmission and transformation projects: Where ΔC3 is the incremental cost incurred during the construction phase due to low-carbon construction, and ΔM k This represents the change in project costs resulting from the optimization of the k-th construction plan during the construction phase.
5. The method for optimizing and deciding on green and low-carbon construction costs for power transmission and transformation projects as described in claim 1, characterized in that, The low-carbon construction cost optimization model for power transmission and transformation projects: Wherein, ΔC represents the incremental cost of low-carbon construction for power transmission and transformation projects.
6. The method for optimizing and deciding on green and low-carbon construction costs for power transmission and transformation projects as described in claim 1, characterized in that, The cost-optimal model constrained by carbon reduction targets: Its objective function is: The constraints are: x i ∈{0,1},for i=1,2,...,n Where, x i ∈{0,1} indicates whether the i-th optional carbon reduction technology is adopted; LCC i Indicates the cost of the technology; Q i This indicates the carbon emission reduction achieved by the technology over its entire life cycle; Q target This is the set total carbon reduction target value.
7. The method for optimizing and deciding on green and low-carbon construction costs for power transmission and transformation projects as described in claim 1, characterized in that, The cost-optimal model constrained by cost objectives: Objective function: Constraints: x i ∈{0,1},for i=1,2,...,n Among them, C max For a given investment or budget limit, x i ∈{0,1} indicates whether the i-th optional carbon reduction technology is adopted; LCC i This represents the total lifecycle cost of the technology; Q i This indicates the carbon emission reduction achieved by the technology over its entire life cycle; Q target This is the set total carbon reduction target value.
8. A computer-readable storage medium storing a computer program that, when executed by a processor, implements the method for optimizing and deciding on green and low-carbon construction costs for power transmission and transformation projects as described in any one of claims 1-7.
9. An electronic device, comprising a memory and a processor, wherein the memory stores a computer program and the processor runs the computer program to cause the electronic device to perform the method for optimizing and deciding on green and low-carbon construction costs of power transmission and transformation projects as described in any one of claims 1-7.