Supercharge Your Innovation With Domain-Expert AI Agents!

Electricity selling company distributed power supply capacity configuration method based on time sequence simulation

A technology of distributed power supply and capacity configuration, applied in circuit installation, design optimization/simulation, photovoltaic power generation, etc., can solve problems such as different results of operation and planning

Pending Publication Date: 2021-03-16
HUZHOU ELECTRIC POWER SUPPLY CO OF STATE GRID ZHEJIANG ELECTRIC POWER CO LTD +1
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Even though some studies consider the background of the electricity market, they often unify the market behavior of distributed power generation, ignoring that different stakeholders will lead to different market behaviors, so the results of operation and planning will also be different.

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
  • Electricity selling company distributed power supply capacity configuration method based on time sequence simulation
  • Electricity selling company distributed power supply capacity configuration method based on time sequence simulation
  • Electricity selling company distributed power supply capacity configuration method based on time sequence simulation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0039] Such as figure 1 As shown, this embodiment involves a time-series simulation-based distributed power supply capacity allocation method for electricity sales companies. According to the time-series description and randomness description, a wind power, photovoltaic output and load model based on Monte Carlo simulation is constructed, and through time-series simulation The technology obtains the actual output situation; establishes a distributed power supply capacity allocation optimization model that takes into account the income of distribution-type electricity sales companies, so as to optimize the solution, obtain the DG construction capacity of the candidate location, and realize the optimal planning of the power system power supply.

[0040] The wind power, photovoltaic output and load model based on Monte Carlo simulation refers to: taking one year as the planning time, taking hours as the time precision, using the typical daily output curve to describe the timing, u...

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 an electricity selling company distributed power supply capacity configuration method based on time sequence simulation, and the method comprises the steps: building a wind power and photovoltaic output and load model according to time sequence description and randomness description, and generating an actual output condition through Monte Carlo simulation sampling; and establishing a distributed power supply capacity configuration optimization model of an electricity selling company, and performing optimization solution to obtain DG construction capacities of candidatepositions, thereby realizing power supply optimization planning of the power system. According to the invention, the output characteristics of the wind-solar power supply can be naturally embodied, the complementarity is embodied to a certain extent, and the capacity configuration result is more reasonable.

Description

technical field [0001] The invention relates to a technology in the field of smart grid control, in particular to a method for configuring distributed generation (DG) capacity of an electricity retailing company based on time sequence simulation. Background technique [0002] The optimal configuration of existing distributed power sources is mostly studied from the perspectives of economic comprehensive cost, environmental cost, and voltage stability. However, due to the imperfection of the new energy trading mechanism, many studies on the location and capacity of distributed power generation often ignore the background of the power market for analysis. Even though some studies consider the background of the electricity market, they often unify the market behavior of distributed power generation, ignoring that different stakeholders will lead to different market behaviors, and thus the results of operation and planning will also be different. As one of the important entitie...

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): H02J3/00H02J3/46H02J3/38H02J3/28H02J3/14G06Q50/06G06Q10/04G06F30/20
CPCH02J3/00H02J3/46H02J3/28H02J3/14G06Q10/04G06Q50/06Y04S20/222Y02E10/56Y02E10/76Y02E70/30Y02B70/3225Y02B10/10
Inventor 孙可张全明朱泽安曹建伟王旭蒋传文
Owner HUZHOU ELECTRIC POWER SUPPLY CO OF STATE GRID ZHEJIANG ELECTRIC POWER CO LTD
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

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

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com