A multi-source complementary optimal scheduling method for wind, water and fire
A technology that optimizes dispatching and scenery, applied in the field of electrical information, can solve problems that do not involve hybrid systems, energy storage technology stays in theoretical research, and is rarely used in actual engineering
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment
[0104] Such as figure 1 As shown, the algorithm starts, and the control parameters of the input algorithm ( figure 1 in box 1). The first layer of the model is the virtual power optimization scheduling layer ( figure 1 in boxes 2-12). Input typical daily wind power and photovoltaic forecast output; input system load demand; input hydropower and thermal power installed capacity and unit parameters; select virtual power configuration scheme; set initial bundling ratio; calculate load tracking degree and load fluctuation characteristic index; increase bundling ratio , calculate the load tracking degree and load fluctuation characteristic index under the new ratio; judge whether it is the maximum bundling ratio; select the bundling ratio that maximizes the objective function; obtain the initial solution of the unit combination; judge whether it satisfies the formula (10) The minimum start-stop time constraints; modify the initial solution, and remove the redundant units; obtain...
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