Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Multi-target new energy source planning method and device

A new energy, multi-objective technology, applied in the direction of photovoltaic power generation, single-network parallel feeding arrangement, etc., can solve the problems of low efficiency of new energy development and utilization, reduce the risk of light abandonment, and improve the effect of power generation utilization efficiency

Active Publication Date: 2019-06-07
INST OF ECONOMIC & TECH STATE GRID HEBEI ELECTRIC POWER
View PDF6 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a multi-objective new energy planning method and device to solve the technical problem of low efficiency of new energy development and utilization in the prior art

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
  • Multi-target new energy source planning method and device
  • Multi-target new energy source planning method and device
  • Multi-target new energy source planning method and device

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment approach

[0048] Optionally, refer to figure 2 , as a specific implementation of the multi-objective new energy planning method provided by the present invention, inputting output data into a multi-objective optimization model to determine the location and installed capacity of new energy grid connections may include:

[0049] S202: Based on the output data, determine a set of nodes to be selected for new energy grid connection in the region.

[0050] S203: Determine candidate grid-connected combination modes based on the candidate node set.

[0051] S204: Input the candidate grid-connected combination modes into the multi-objective optimization model.

[0052] S205: Solve the multi-objective optimization model to determine the new energy grid connection location and installed capacity.

[0053] In this embodiment, the improved particle swarm optimization algorithm CLPSO can be used to solve the multi-objective optimization model. After inputting the candidate grid-connected combinat...

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 provides a multi-target new energy source planning method and device. The method is applied to the technical field of the new energy source planning. The method comprises the following steps: collecting output data of a typical wind power plant and a photovoltaic power station; for new energy sources in different grid-connecting ways in the region, constructing a multi-target optimization model in the nearby consumption, minimum system network loss and minimum electricity purchasing cost; and determining the new energy source grid-connecting location and installed capacity according to the output data and the multi-target optimization model. The multi-target new energy source planning method and device provided by the invention can effectively improve the generation utilization efficiency of the new energy plant station in the region, and the wind-abandoning and light-abandoning risk is reduced.

Description

technical field [0001] The invention belongs to the technical field of new energy planning, and more specifically relates to a multi-objective new energy planning method and device. Background technique [0002] In recent years, in-depth research has been carried out on the problem of site selection and capacity determination of new energy sources at home and abroad, from the perspective of the minimum operating cost of the distribution network, the minimum average power outage of the distribution network, the minimum active power loss of the distribution network, and the minimum equivalent carbon emissions of the system. , Optimal system voltage quality, or a combination of the above multiple optimization objectives to build an optimization model from multiple dimensions. Most of the related research is based on different control strategies of new energy, which are respectively treated as PQ type, PI type, PV type and PQ(V) type. [0003] However, in the existing technolog...

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): H02J3/38
CPCY02E10/56
Inventor 齐晓光王颖邵华张章张倩茅安佳坤习朋刘芮荆志朋张丽洁郑紫尧胡诗尧韩璟琳樊会丛杨洋唐帅刘雪飞李光毅袁博
Owner INST OF ECONOMIC & TECH STATE GRID HEBEI ELECTRIC POWER
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products