A multi-objective robust optimal allocation method to stabilize the fluctuation of renewable energy sources

A technology of renewable energy and optimized configuration, applied in the direction of circuit devices, single-network parallel feeding arrangements, AC network circuits, etc., can solve the difficulty of ensuring the optimality of final decision-making, difficulty of stochastic planning, and difficulty for decision-makers to obtain demand response resources Problems with exact probability distributions, etc.

Inactive Publication Date: 2018-12-18
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
View PDF0 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, for the problem of using DR resources to stabilize renewable energy fluctuations under multiple time scales, there are still two problems in the current research work that need to be further explored and resolved: First, most of the existing research is based on multiple Research on joint scheduling of DR resources, renewable energy and conventional power generation resources in time scale
However, there are few relevant literatures on how to use the complementarity of response characteristics of different forms of DR resources to optimize the selection and configuration of DR under multiple time scales, so as to more efficiently stabilize the fluctuation of renewable energy output under different time scales. to report
Second

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
  • A multi-objective robust optimal allocation method to stabilize the fluctuation of renewable energy sources
  • A multi-objective robust optimal allocation method to stabilize the fluctuation of renewable energy sources
  • A multi-objective robust optimal allocation method to stabilize the fluctuation of renewable energy sources

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0065] The present invention will be described in detail below in conjunction with specific embodiments.

[0066] The multi-objective robust optimal configuration method for stabilizing renewable energy fluctuations provided in this embodiment includes the following steps in order:

[0067] 1. Establish an uncertainty model on both sides of supply and demand

[0068] 1.1 Establish an uncertainty model of renewable energy output

[0069] Analyze the uncertainty of the supply side and demand side of the distribution network, analyze the historical curve of renewable energy output during the planning period, select the typical daily renewable energy output curve as the basic curve, and use the wavelet decomposition method to convert the typical daily renewable energy The output curve is decomposed into smooth part, 10min long time scale fluctuation part and 1min short time scale fluctuation part.

[0070]

[0071] contribute to a typical day of renewable energy; is its s...

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 multi-objective robust optimal allocation method for suppressing fluctuation of renewable energy. First of all, it aims at the uncertainty of the actual response of renewableenergy power generation and DR, Analyze the types of demand-side response resources, a robust interval model of available capacity is established, on this basis, Considering the fluctuation of grid-connected power of renewable energy generation, DR Resource Availability, A multi-objective robust optimal allocation model of multi-modal DR resources in smart distribution network is established to minimize the operating cost and maximize the utilization of renewable energy, and the complementarities of DR resources in different time scales are considered emphatically. To solve the above optimization problem, a non-dominated set ranking multi-objective genetic algorithm with elite strategy is used.

Description

technical field [0001] The invention belongs to the technical field of smart grid demand side response configuration, in particular to a multi-objective robust optimal configuration method for stabilizing renewable energy fluctuations through multi-modal demand side response resource configuration. Background technique [0002] Vigorously developing renewable energy generation (Renewable Energy Generation, REG) and promoting low-carbon end-use energy are important goals for the development of my country's future energy power system. In recent years, driven by incentive policies such as energy conservation and emission reduction, my country's REG has entered a period of rapid development and gradually formed a large-scale application. However, unlike traditional energy power generation (such as thermal power generation, natural gas power generation, etc.), REG's output is usually highly intermittent and volatile due to the impact of the external environment. Therefore, the l...

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): H02J3/38H02J3/24
CPCH02J3/24H02J3/382H02J2203/20
Inventor 张艺伟俞永增程爽易文飞赵志斌黄永章薛连志
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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