Power distribution network investment decision evaluation method and system based on data envelopment analysis
An envelope analysis and evaluation system technology, applied in the field of investment decision-making of power system distribution network in the electric power industry, can solve the problems of distributed network evaluation model data collection, failure to achieve effective integration and full utilization, and failure to achieve integration. Avoid inaccurate data, good practicability, and comprehensive data collection effect
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0041] The distribution network investment decision-making evaluation method based on data envelopment analysis analyzes the collected planning data, financial data, energy data and economic data through the data envelopment analysis algorithm, and obtains the distribution network regional energy flow, value flow, business The typical characteristics of the flow; calculate and process the energy flow, value flow and business flow of the distribution network, put the historical data into the knowledge base, and combine the knowledge base content and current data for analysis; the knowledge base is from input to output It is easy to store the logic in the database and reduce the hard-coded logic in the program; when the requirements change, the knowledge base stored in the database can be directly modified without modifying the program source code.
[0042] Data Envelopment Analysis (DEA) is a new field of interdisciplinary research in operations research, management science, and...
Embodiment 2
[0060] This embodiment is optimized on the basis of Embodiment 1. The selection of distribution network investment decision-making evaluation indicators needs to remove the differences caused by factors such as economic development level, grid scale, expected income, and total power consumption. The load conditions and investment economic attributes are proportionalized. At the same time, it is necessary to add and delete the evaluation indicators of each area in combination with the actual project conditions to form input-output evaluation indicators suitable for each power supply area. During the operation of the distribution network investment decision-making model, combined with artificial intelligence machine learning technology, the input-output evaluation indicators are dynamically revised, the model is continuously improved, and the rationality of indicator selection is improved.
[0061] like Figure 4 As shown, the steps to select indicators are as follows:
[0062]...
Embodiment 3
[0080] Distribution network investment decision evaluation system based on data envelopment analysis, such as figure 1 As shown, including an evaluation model, the evaluation model includes an envelope analysis unit, an indicator set generation unit, a processing unit, a knowledge base, and a result output unit, and the planning data, financial data, energy data and economic data are analyzed by the envelope analysis unit. Through analysis, the characteristics of energy flow, value flow and business flow in the distribution network area are obtained; secondly, the index set generation unit dynamically revises and maintains the indicators of the evaluation system; thirdly, through the processing unit, the energy flow, The three streams of value stream and business stream are calculated and processed, such as image 3 As shown in the figure, one is to form typical experience and store it in the knowledge base, the other is to learn from the energy flow, value flow and business ...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com