Load frequency control method using bacterial foraging algorithm improved based on particle swarm

A technology of load frequency control and bacterial foraging algorithm, applied to controllers with specific characteristics, electric controllers, etc., can solve problems such as low optimization accuracy, slow convergence speed, and low robustness, and achieve good control effects , the effect of increasing the convergence speed and enhancing the robustness

Inactive Publication Date: 2019-01-01
SHANGHAI UNIVERSITY OF ELECTRIC POWER
View PDF2 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, although there are some solutions that apply the standard bacterial foraging algorithm to the PID controller parameter optimization of the thermal system, the standard ba

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
  • Load frequency control method using bacterial foraging algorithm improved based on particle swarm
  • Load frequency control method using bacterial foraging algorithm improved based on particle swarm
  • Load frequency control method using bacterial foraging algorithm improved based on particle swarm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0050] This application proposes a load frequency control method based on the particle swarm improved bacterial foraging algorithm, which is used in the load frequency control (LFC) system. The LFC system is composed of a generator, a prime mover, a governor and various limiting links. The LFC system Using the PID controller with filter coefficients, the LFC system is regarded as the control object of the optimized controller, the objective function is obtained, the controller parameters are searched and optimized, and finally the optimized PID controller is applied to the LFC system. This method includes:

[0051] S1. Build the load frequency control system model of the generator set. Through the analysis of the generator operating characteristics and the load frequency control process, the load frequency control system model of two units in a single area can be obtained as follows: figure 1 as shown, figure 1 Among them, K(s) represents the controller of LFC, Δf represents ...

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 relates to a load frequency control method using a bacterial foraging algorithm improved based on a particle swarm. A load frequency control (LFC) system model of a single-area two-unitpower grid is built, and a bacterial foraging algorithm improved based on a particle swarm is used to optimize the PID controller parameters of the LFC system to control the LFC system. The bacterialforaging algorithm improved based on a particle swarm is to introduce global optimum, individual optimum and adaptive step size based on the standard bacterial foraging algorithm and the idea of the particle swarm optimization algorithm to redefine the health and migration of bacteria. The optimization speed of the optimization algorithm is improved, and the optimization accuracy of bacteria is greatly improved. Compared with the prior art, a good control effect is obtained, the dynamic performance of the load frequency control system is significantly improved, and the method has important practical significance for the improvement of the automatic control level of thermal power units.

Description

technical field [0001] The invention relates to the technical field of information control, in particular to a load frequency control method based on a particle swarm improved bacterial foraging algorithm. Background technique [0002] As of the end of 2017, my country's installed power generation capacity was 1.77 billion kilowatts, and thermal power installed capacity accounted for 62.2% of the total installed capacity. Thermal power is still the main form of power generation in my country. Constraints, the thermal power industry is facing an increasingly severe situation. Grid frequency is one of the most important performance indicators of the power system, and frequency stability is the basic requirement for grid operation. In recent years, many scholars at home and abroad have paid close attention to how to maintain grid frequency stability and improve power quality. Research. A large number of different types of distributed power sources are connected to the power gr...

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): G05B11/42
CPCG05B11/42
Inventor 彭道刚赵慧荣田园园姚峻祝建飞孙宇贞于会群徐春梅
Owner SHANGHAI UNIVERSITY OF ELECTRIC POWER
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