Distributed optimal scheduling method for multi-energy complementary microgrid containing multiple bodies
An optimized scheduling and distributed technology, applied in the energy industry, instruments, sustainable manufacturing/processing, etc., can solve problems such as increasing communication costs, leakage of privacy and business information, and increasing system computing volume.
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0058] The preferred embodiments will be described in detail below in conjunction with the accompanying drawings. It should be emphasized that the following description is only exemplary and not intended to limit the scope of the invention and its application.
[0059] Such as figure 1 As shown, first, determine the objective function, decision variables and related constraints of the original global problem, and model the cogeneration system, heat storage system, electric load, heat load, etc. in the microgrid, and establish the operator The cost model on the side and the user side. Secondly, according to the principle of ADMM algorithm, the final form of distributed iteration is deduced from the original global problem. Then, the wind power output in the current scheduling period is obtained, and the equivalent heat load is calculated from the temperature. Operators and users continue to optimize the interaction until a balance between supply and demand is reached. In the...
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