|Table of Contents|

Load distribution in power plants based onchaotic-particle swarm optimization(PDF)

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

Issue:
2017年04期
Page:
526-
Research Field:
Publishing date:

Info

Title:
Load distribution in power plants based onchaotic-particle swarm optimization
Author(s):
Peng Daogang1Zhao Hanmei1Huang Li1Gu Liqun2Wang Weijian3
1.School of Automation Engineering,Shanghai University of Electric Power,Shanghai Engineering ResearchCenter of Intelligent Management and Control for Power Process,Shanghai 200090,China; 2.Power Plant of Baoshan Iron & Steel Co.Ltd.,Shanghai 201900
Keywords:
optimal load distribution coal consumption characteristics valve-point effect chaotic-particle swarm optimization dynamic weight
PACS:
TP273
DOI:
10.14177/j.cnki.32-1397n.2017.41.04.019
Abstract:
To optimize the load distribution further and improve the economic efficiency of power plant,this paper improves the load distribution of the power plant based on the particle swarm optimization algorithm and chaotic optimization algorithm.Considering the actual situation of the power generation power plant,this method establishes the optimal load distribution model of generator,which takes the constraints of the valve point effect and units in the actual operation process into consideration.By using the penalty function method,this model is transformed into a non constrained problem.A practical example analysis has verified that the improved chaotic-particle swarm optimization algorithm is feasible in solving the problem of optimal load distribution,partial optimum and slowness of convergence rate.

References:

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Last Update: 2017-08-31