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

Power system multi-target differentiation planning method based on improved harmony search algorithm

A search algorithm and power system technology, applied in information technology support systems, computing, data processing applications, etc., can solve problems such as incomplete application of differentiated power grid planning, only considering economic goals, and planning power grid reliability without quantification.

Active Publication Date: 2014-07-30
WUHAN UNIV
View PDF4 Cites 20 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The disadvantage of this method is that it only considers the economic goals and does not quantify the reliability of the planned grid
The disadvantage of this method is that it ignores the operation and maintenance costs when the planning scheme is constructed, and does not take into account the systematic and long-term nature of the differentiated planning scheme.
[0005] Considering the particularity of the grid after differentiated planning, conventional grid planning methods are not fully applicable to grid differentiated planning

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 system multi-target differentiation planning method based on improved harmony search algorithm
  • Power system multi-target differentiation planning method based on improved harmony search algorithm
  • Power system multi-target differentiation planning method based on improved harmony search algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0071] A multi-objective differential planning method for power systems based on the improved harmony search algorithm. Taking the IEEE30 node example model as an example, the planning scenario is to increase the disaster resistance standard of grid structures after differential planning from once in 30 years to once in 50 years meet. Include the following steps;

[0072] Step 1. Carry out the analysis and calculation of the economic objectives of the differentiated planning of the power grid;

[0073] Considering the long-term nature of power grid planning, apply the life-cycle cost theory to quantify the economics of differentiated planning, because the ultimate goal of differentiated planning is to ensure the stable operation of the core backbone grid and important loads in the event of major natural disasters. Therefore, different from conventional power grid planning, the economics of differentiated power grid planning mainly consider the additional investment, operation...

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 system multi-target differentiation planning method based on an improved harmony search algorithm. The method is based on the differentiation planning basic principle and requirement, economical efficiency and reliability are quantized according to additional cost and lost benefits in the whole life cycle, and an optimized multi-target differentiation planning model is built; an optimizing criterion is formulated according to the Pareto dominance relation, and an optimal differentiation planning scheme is selected from a Pareto solution set with the maximum benefit-cost ratio as the goal. The newly-developed harmony search algorithm is applied to solution of the model, chaotic mapping, dynamic parameter setting, improved pitch adjustment strategies and a harmony optimizing information sharing mechanism are introduced to solve the 0-1 planning problem, and search performance is improved. According to the method, economical efficiency and reliability can be comprehensively given into consideration, multi-target differentiation planning of a power grid is achieved, and the method is of guidance significance in building a core backbone net rack and building a strong power grid.

Description

technical field [0001] The invention relates to a multi-objective differential planning method for a power system, in particular to a multi-objective differential planning method for a power system based on an improved harmony search algorithm. Background technique [0002] In recent years, extreme natural disasters have led to frequent occurrences of events affecting the safe operation and normal power supply of the power grid, causing huge economic losses and serious social impacts. The differentiated planning and design based on the principle of "generally improving and focusing on strengthening" has gradually been used in the power grid. planning and renovation. Due to the different factors such as geographical location and external meteorological conditions of different lines, the degree of strength required to face natural disasters is also different. The differentiated planning of the power grid is to differentiate the design of different lines and different sections...

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): G06Q50/06G06Q10/06G06Q10/04
CPCY04S10/50
Inventor 刘涤尘宋春丽吴军董飞飞王浩磊赵一婕潘旭东柯丽娜
Owner WUHAN UNIV
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