Power generation company market behavior optimization method and system under high renewable energy source permeability

A renewable energy and optimization method technology, applied in market forecasting, market data collection, system integration technology, etc., can solve the problems of not considering the interaction of renewable energy power generation companies, the calculation process of optimization models is complicated, and analytical solutions cannot be provided.

Pending Publication Date: 2021-09-10
SHANDONG UNIV
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] At present, most of the existing market behavior optimization methods often have the following limitations: they do not consider the interaction of bidding strategies among different renewable energy generation com

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
  • Power generation company market behavior optimization method and system under high renewable energy source permeability
  • Power generation company market behavior optimization method and system under high renewable energy source permeability
  • Power generation company market behavior optimization method and system under high renewable energy source permeability

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0032] In one or more embodiments, a method for optimizing market behavior of a power generation company under a high renewable energy penetration rate is disclosed, including the following process:

[0033] (1) Obtain the quantity and power generation cost information of conventional generator sets and renewable energy generator sets of each power generation company; aim at maximizing the profit of power generation companies, and establish a high-level renewable energy bidding model;

[0034] (2) Obtain the bidding information of each power generation company in the bidding and the output power information of conventional generators and renewable energy generators; aim at minimizing the cost of consumers based on time series, and establish a low-level time series based on marginal cost. Change the market settlement model;

[0035] (3) The low-level time-varying market settlement model based on marginal cost is used as a constraint condition, and a two-layer game model is form...

Embodiment 2

[0099] In one or more embodiments, a market behavior optimization system for power generation companies under high renewable energy penetration is disclosed, including:

[0100] The high-level model building block is used to obtain the quantity and power generation cost information of conventional generator sets and renewable energy generator sets of each power generation company; with the goal of maximizing the profit of the power generation company, establish a high-level renewable energy bidding model;

[0101] The low-level model building block obtains the bidding information of each power generation company in the bidding and the output power information of conventional generators and renewable energy generators; with the goal of minimizing consumer costs based on time series, a time series based on marginal cost is established. Change the market settlement model;

[0102] The two-tier game model building block uses the low-level time-varying market settlement model based...

Embodiment 3

[0106] In one or more embodiments, a terminal device is disclosed, which includes a processor and a memory, the processor is used to implement instructions; the memory is used to store a plurality of instructions, and the instructions are suitable for being loaded by the processor and executed to implement A method for optimizing the market behavior of power generation companies under high renewable energy penetration as described in Example 1.

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 power generation company market behavior optimization method and system under high renewable energy source permeability, and the method comprises the steps: building a high-level renewable energy source bidding model with the profit maximization of a power generation company as a target; establishing a low-layer time-varying market settlement model based on marginal cost by taking consumer cost minimization based on a time sequence as a target; serving the low-layer time-varying market settlement model based on the marginal cost as a constraint condition, and enabling the low-layer time-varying market settlement model and a high-layer renewable energy bidding model to jointly form a double-layer game model; and adopting a dynamic gradient effective set algorithm, converting a double-layer optimization problem into a single-layer optimization problem by parameterizing a bidding strategy of a power generation company, and solving the double-layer game model to obtain an optimal quotation strategy of all power generation companies. According to the method, the accuracy of an optimization result can be improved under the condition that the permeability of renewable energy sources is relatively high.

Description

technical field [0001] The invention relates to the technical field of market behavior optimization in the electric power industry, in particular to a method and system for optimizing market behavior of a power generation company under a high renewable energy penetration rate. Background technique [0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art. [0003] The growing penetration of renewable energy presents significant challenges to the operation and pricing of electricity markets. Currently, most existing analyzes are performed under perfectly competitive market conditions. But different market conditions, such as the concentration of renewable energy generation units and thermal power units, vary widely around the world and may lead to different market behaviors as renewable energy penetration increases. [0004] In the case of a high degree of market concentration, ...

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): G06Q10/04G06Q30/02G06Q50/06
CPCG06Q10/04G06Q30/0206G06Q30/0201G06Q50/06Y04S10/50Y02E40/70
Inventor 吕天光李竞韩学山程艳孙树敏刘英亮孙东磊艾芊张波
Owner SHANDONG 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