Microgrid multi-objective optimization scheduling method considering electric vehicle random access
A multi-objective optimization and electric vehicle technology, applied in the field of micro-grid optimal scheduling, can solve the problems of not taking into account the impact of distributed power pollutants on the environment, unfavorable electric vehicle grid stability, and unfavorable problems
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0085] In this embodiment, a charging and discharging scheduling method for electric vehicles connected to a microgrid, such as figure 1 shown, including the following steps:
[0086] Step 1. Determine the system structure of the microgrid and the power generation characteristics of different distributed power sources in the microgrid and the random charging characteristics of electric vehicles;
[0087] The types of distributed power sources included in the microgrid include: wind power generation unit WT, photovoltaic power generation unit PV, diesel generator DE and micro gas turbine MT;
[0088] The characteristics of each distributed power supply include:
[0089] The output power P of the wind power unit WT WT , and obtained by formula (1)
[0090]
[0091] In formula (1), P r is the rated output power of the wind power unit WT; V ci , V r , V co Respectively represent the cut-in wind speed, rated wind speed and cut-out wind speed of the wind power unit WT; ...
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