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

Optimization programming and evaluation method of micro-grid power supply

A technology for optimal planning and micro-grid, which is applied in the direction of instruments, data processing applications, prediction, etc., and can solve problems such as lack of scientificity

Inactive Publication Date: 2015-09-02
POWER GRID PLANNING RES INST OF GUIZHOU POWER GRID CO LTD
View PDF4 Cites 26 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The microgrid has two operation modes: grid-connected and islanded. In the grid-connected mode, it can exchange power with the main grid. In the islanded mode, it can maintain the stable operation of the micro-grid with the help of distributed power sources and energy storage with controllable output. In the past research on the optimal planning of micro-grid power supply, the mathematical model of optimal planning often cannot comprehensively consider the two different operation modes of micro-grid. In , when the wind speed and light intensity are small, diesel generators need to run for a long time, so it is necessary to consider the operation constraints of diesel generators in planning, and many literatures ignore this important constraint
In addition, for the obtained microgrid power supply planning schemes, there are few literatures that propose planning scheme evaluation methods to evaluate the rationality of the planning results

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
  • Optimization programming and evaluation method of micro-grid power supply
  • Optimization programming and evaluation method of micro-grid power supply
  • Optimization programming and evaluation method of micro-grid power supply

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0071] Embodiment: A method for optimal planning of a microgrid power supply, the method comprising the following steps:

[0072] (1) Establish a mathematical model for optimal planning of the grid-connected operation mode. In the micro-grid under the grid-connected operation mode, it is necessary to ensure 100% power supply of the internal load of the micro-grid. In addition, it is also necessary to consider the power transaction volume between the microgrid and the distribution network. At the same time, fully consider the maximum utilization of renewable energy and establish a mathematical model of the total investment. The objective function is as follows:

[0073]

[0074] in, is the initial investment cost of each distributed power supply, is the type of distributed power supply, is the discount rate, is the service life of the distributed power supply;

[0075] For the operation and management costs of each distributed power supply, Hour, for the firs...

Embodiment 2

[0137] Example 2: According to the load characteristics of a certain area: the average load is 114kW, the minimum load is 35kW, and the maximum load is 224kW. The objective function includes the initial investment of the micro-power supply, operation and management costs, electricity purchase costs from the distribution network, residual value, fuel costs, environmental benefits, and interruption load costs. The genetic algorithm and particle swarm calculation are used to solve the problem respectively. Simulation is carried out for 8760 hours per year. The parameters of the genetic algorithm in this paper are selected as follows: the population size is M=100, the crossover probability Pc=70%, the mutation probability Pm=4%, the optimal number of saved is 10, and the maximum number of iterations is selected as N =1000. The parameters of the particle swarm optimization algorithm are selected as follows: the group size is M=40, the maximum speed Vmax=10, the learning factor c1=c...

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 optimization programming and evaluation method of a micro-grid power supply. Under grid connection and island operation modes, a mathematical model of distributed power supply optimization programming in a microgrid is established respectively. Constraint conditions of diesel generator starting and operation are considered so that optimization configuration of scientific wind power, photovoltaic and fuel cells, a diesel generator and an energy storage capacity is acquired. A heredity and particle swarm algorithm is used to carry out optimization programming on the power supply in the microgrid. A programming scheme evaluation method including a stable power supply duty ratio, total investment, a time-shifting electric quantity of energy storage, power supply capacity adequacy and longest running time of the diesel generator is established. Correctness of a programming method and rationality of a programming result are guaranteed.

Description

technical field [0001] The invention relates to the field of distributed power supply planning in a microgrid, in particular to an optimal planning and evaluation method for a microgrid power supply considering two operation modes of grid-connected and isolated. Background technique [0002] The shortage of resources, the consumption of energy and the demand for environmental protection have promoted the development of distributed new energy. Micro-grid (MG for short) refers to a small power generation and distribution system composed of distributed power sources, energy storage devices, energy conversion devices, loads, monitoring and protection devices, etc. and managed autonomous systems. It can effectively solve the massive access of distributed power sources, meet the needs of power supply in remote areas and improve the flexibility of urban power grids, save large power grid investment, improve power supply reliability, and has broad development and application prospe...

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): G06Q10/04G06Q50/06
Inventor 张栩高华李丽娟廖剑波刘金森张彦卢嗣斌
Owner POWER GRID PLANNING RES INST OF GUIZHOU POWER GRID CO LTD
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com