Quantitative optimal configuration method of wind-solar hybrid power system based on discrete probability model

A technology of power supply system and wind-solar complementary technology, applied in the direction of photovoltaic power generation, photovoltaic power station, photovoltaic module, etc., can solve problems such as difficulties, distribution function description, computer difficult to solve the joint distribution problem of continuous and discrete distribution, etc.

Inactive Publication Date: 2015-12-30
ZHEJIANG UNIV
View PDF2 Cites 15 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Many random factors in the actual system have discrete characteristics and cannot be described by continuous distribution functions, and it is difficult for computers to sol

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
  • Quantitative optimal configuration method of wind-solar hybrid power system based on discrete probability model
  • Quantitative optimal configuration method of wind-solar hybrid power system based on discrete probability model
  • Quantitative optimal configuration method of wind-solar hybrid power system based on discrete probability model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0084] The present invention will be further described below in conjunction with the accompanying drawings.

[0085] 1. To comprehensively optimize the configuration of the wind-solar hybrid power supply system, the purpose is to achieve a balance between investment cost, power supply capacity and power supply quality under the relevant constraints. From the perspective of multi-objective optimization, three optimization objectives can be set to establish the objective function: ① economy of power supply system; ② voltage quality of load nodes; ③ system power adequacy.

[0086] According to the above description, the following three objective functions are established:

[0087]

[0088]

[0089]

[0090] Among them, N i and p i Respectively, the number and capacity of the i-th power generation device (wind power, photovoltaic, etc.) or reactive power compensation device; coefficient k 1i and k 2i are the fixed and variable cost coefficients of the i-th power gener...

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 quantitative optimal configuration method of a wind-solar hybrid power system based on a discrete probability model. The method is characterized in that discrete probability distribution is utilized to show random variation factors in the system, and a multi-objective optimization model is established with maximum electric energy adequacy and minimum power supply system total investment and voltage out-of-limit probability being optimization objectives; then, a probabilistic load flow algorithm is subjected to partial improvement, expectation value and increment of a discrete random variable are studied separately, and through moment calculation and semi-invariant conversion, and by applying series approximation, probability distribution of the node voltage and the system electric energy adequacy is obtained, and furthermore, objective functions can be calculated more efficiently and quickly; and finally, the method adopts a parallel-acceleration non-dominated sorting genetic algorithm having an elitist strategy to solve a Pareto optimal solution set of the optimization objectives. Compared with a conventional optimal configuration method, the method can reflect the running state of the system comprehensively, and provides more complete information for policy makers.

Description

technical field [0001] The invention relates to a quantitative optimization configuration method for a wind-solar complementary power supply system based on a discrete probability model, and belongs to the technical field of new energy power generation. technical background [0002] Compared with conventional power sources such as hydropower and thermal power, the most fundamental difference of wind power, solar power and other new energy power generation lies in the randomness, intermittence and volatility of active power output. For some micro-grid systems that use new energy power generation devices as the main power supply, this will greatly affect the power quality and even cause insufficient power supply for the system. On the other hand, the mixed power supply of different new energy systems can obtain relatively stable output performance, the most typical one is the wind-solar hybrid power supply system. In planning and design, it is of theoretical and practical val...

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): H02S10/12H02J3/38
CPCY02E10/50
Inventor 叶承晋黄民翔王焱孙飞飞钟宇峰潘伟
Owner ZHEJIANG 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