Virtual power plant combination optimization method and model with consideration of distributed power volatility

A distributed power supply, virtual power plant technology, applied in the direction of electrical components, circuit devices, AC network circuits, etc., can solve the problems that cannot meet the requirements of the economic operation of the power system, and do not consider the active optimization problem

Active Publication Date: 2018-10-19
SOUTHEAST UNIV +1
View PDF12 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The combination method of the existing virtual power plant is divided according to the region, and all the distributed resources in the region are aggregated and expressed, and the obtained si

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Virtual power plant combination optimization method and model with consideration of distributed power volatility
  • Virtual power plant combination optimization method and model with consideration of distributed power volatility
  • Virtual power plant combination optimization method and model with consideration of distributed power volatility

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0055] The technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0056] Based on the concept of distributed power supply matching degree, the present invention establishes a distributed power supply combination optimization model. In the virtual power plant planning and scheduling period, the model aims to minimize the matching variance of distributed power generation, satisfy certain constraints, and obtain the optimal combination scheme from the combination of distributed power generation of different types and capacities. The matching degree defined by the method of the present invention is the output matching degree of the distributed power supply, that is, the matching degree between the predicted curve of the distributed power supply and the actual output curve.

[0057] Combined with the concept of variance in mathematics, the method of the present invention proposes the c...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a virtual power plant combination optimization method and model with consideration of distributed power volatility. Distributed power sources are selected reasonably by comprehensively considering various factors like the various geographical locations, environmental conditions, resource distribution in different areas and outputs of all distributed power sources are predicted; according to a matching degree calculation formula, matching degrees between predicted outputs of all distributed power sources and a power consumption plan of a virtual power plant are calculated; all distributed power sources are introduced to the virtual power plant in a lowest matching degree state; whether the virtual power plant formed by the distributed power sources satisfies the scheduling requirement of the system is determined; and a virtual power plant is formed. According to the invention, on the basis of the multi-stage nonlinear integer programming method, a virtual power plant combination optimization model with uncertain situations is established; and the model uses the running states of the distributed resources as decision-making variables and the minimized matchingdegree as an objective, and the virtual power plant combination decisions can be regulated in real time based on the power consumption plan of the system.

Description

technical field [0001] The invention relates to a power system optimization method, in particular to a combined optimization method and model of a virtual power plant considering the fluctuation of distributed power sources. Background technique [0002] In recent years, virtual power plant, as a new form of distributed power generation development, has attracted more and more attention from the academic circles. The virtual power plant under the background of the smart grid has been expanded and extended. It can be understood that the distributed power supply, controllable load and energy storage system in the distribution network are combined as a special power plant to participate in the grid operation through the distributed power management system. In this way, the contradiction between smart grid and distributed power can be well coordinated, and the value and benefits brought by distributed energy to the power grid and users can be fully explored; unlike microgrids, v...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): H02J3/38
CPCH02J3/381H02J2203/20
Inventor 喻洁王斯妤滕贤亮丁恰涂孟夫吴继平谢丽荣
Owner SOUTHEAST UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap