Photovoltaic hybrid energy storage control method considering prediction error compensation and fluctuation stabilization

A technology for compensating prediction and stabilizing fluctuations, which is applied in the directions of photovoltaic power generation, energy storage, single-network parallel feeding arrangement, etc., and can solve problems such as volatility, photovoltaic power grid-connected uncertainty, randomness, etc., to reduce uncertainty performance, prevent overcharge and overdischarge, and solve the effect of overcharge and overdischarge

Active Publication Date: 2021-06-08
XINJIANG UNIVERSITY +1
View PDF4 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In order to solve the problems of uncertainty, volatility, and randomness of photovoltaic grid-connected photovoltaic power generation in the above-mentioned related fields, the present invention provides a coordinated control strategy for photovoltaic hybrid energy storage that takes into account both compensation of prediction errors and suppression of fluctuations

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
  • Photovoltaic hybrid energy storage control method considering prediction error compensation and fluctuation stabilization
  • Photovoltaic hybrid energy storage control method considering prediction error compensation and fluctuation stabilization
  • Photovoltaic hybrid energy storage control method considering prediction error compensation and fluctuation stabilization

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0104] 1 Formulate the target domain for compensating forecast errors and smoothing fluctuations

[0105] 1.1 Analysis of prediction error and power fluctuation based on probability and statistics distribution

[0106] The description of photovoltaic prediction error and power fluctuation distribution is mainly focused on a single distribution model, and a typical daily data of a photovoltaic power station is selected to analyze the prediction error and power fluctuation. figure 2 It is the fitting curve of toocation-scale distribution of photovoltaic power prediction error and power fluctuation, and the probability density function expression of toocation-scale distribution is:

[0107]

[0108] In the formula: Γ(x) is the gamma function, σ is the scale parameter, v is the degree of freedom, if write Then y follows a t-distribution with v degrees of freedom.

[0109] Depend on figure 2 It can be seen that the probability distribution of prediction error and power flu...

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 photovoltaic hybrid energy storage control method considering compensation prediction error and stabilization fluctuation. The method comprises the following steps: comparing photovoltaic output actual active power Ppv (t) with an output photovoltaic prediction error allowable range E, carrying out the grid connection when a grid connection requirement is satisfied, or carrying out the compensation prediction error primary control and the stabilization fluctuation secondary control, and then carrying out the grid connection. According to the method, the hybrid energy storage is utilized to realize the hierarchical control of compensating the prediction error and stabilizing the fluctuation, so that the hybrid energy storage system is clear in division of labor, the energy storage system is prevented from being overcharged and overdischarged, the energy storage capacity configuration is reduced, the economy is optimal, the effects of compensating the prediction error and stabilizing the fluctuation are achieved, and the grid-connected requirement is met; and the uncertainty, volatility and randomness of large-scale photovoltaic grid connection can be effectively reduced, and the electric energy quality and stability of a power grid are improved.

Description

technical field [0001] The invention relates to the technical field of new energy management, in particular to a photovoltaic hybrid energy storage control method that compensates prediction errors and suppresses fluctuations. Background technique [0002] In recent years, with the rapid development of the photovoltaic industry, the country's photovoltaic installed capacity has grown rapidly. By the end of 2020, the cumulative photovoltaic installed capacity is expected to reach 239.3GW, ranking first in the world for eight consecutive years. However, with the expansion of photovoltaic scale, the uncertainty, volatility and randomness of large-scale photovoltaic grid-connection are likely to affect the power quality and stability of the grid, and the predictability of photovoltaic output is poor, which is prone to prediction errors. Improving prediction accuracy and smoothing photovoltaic power fluctuations are the key factors to solve the stability and reliability of photov...

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
Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/38H02J3/24H02J3/32
CPCH02J3/381H02J3/24H02J3/32H02J2300/24Y02E70/30Y02E10/56
Inventor 谢丽蓉昝夏露郑浩付海龙张革荣陈星志
Owner XINJIANG UNIVERSITY
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