An improved PSO approach to short‐term economic dispatch of cascaded hydropower plants

An improved PSO approach to short‐term economic dispatch of cascaded hydropower plants Purpose – The purpose of this paper is to establish the optimization model and solve the short‐term economic dispatch of cascaded hydro‐plants. Design/methodology/approach – An improved particle swarm optimization (IPSO) approach is proposed to solve the short‐term economic dispatch of cascaded hydroelectric plants. The water transport delay time between connected reservoirs is taken into account and it is easy in dealing with the difficult hydraulic and power coupling constraints using the proposed method in practical cascaded hydroelectric plants operation. The feasibility of the proposed method is demonstrated for actual cascaded hydroelectric plant. Findings – The simulation results show that this approach can prevent premature convergence to a high degree and keep a rapid convergence speed. Research limitations/implications – The optimal values of parameters in the proposed method are the main limitations where the method will be applied to the economic operation of the hydro‐plant. Practical implications – The paper presents useful advice for short‐term economic operations of the hydro‐plant. A new optimization method to solve the short‐term optimal generation scheduling is proposed. The optimal generation power and water discharge during the whole dispatching time for hydro‐plant operation can be obtained. Originality/value – The IPSO method is realized by maintaining high diversity of the swarm during the optimization process and preventing premature convergence. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Kybernetes Emerald Publishing

An improved PSO approach to short‐term economic dispatch of cascaded hydropower plants

Kybernetes, Volume 39 (8): 7 – Aug 10, 2010

Loading next page...
 
/lp/emerald-publishing/an-improved-pso-approach-to-short-term-economic-dispatch-of-cascaded-t1eR6L3vYI
Publisher
Emerald Publishing
Copyright
Copyright © 2010 Emerald Group Publishing Limited. All rights reserved.
ISSN
0368-492X
DOI
10.1108/03684921011063664
Publisher site
See Article on Publisher Site

Abstract

Purpose – The purpose of this paper is to establish the optimization model and solve the short‐term economic dispatch of cascaded hydro‐plants. Design/methodology/approach – An improved particle swarm optimization (IPSO) approach is proposed to solve the short‐term economic dispatch of cascaded hydroelectric plants. The water transport delay time between connected reservoirs is taken into account and it is easy in dealing with the difficult hydraulic and power coupling constraints using the proposed method in practical cascaded hydroelectric plants operation. The feasibility of the proposed method is demonstrated for actual cascaded hydroelectric plant. Findings – The simulation results show that this approach can prevent premature convergence to a high degree and keep a rapid convergence speed. Research limitations/implications – The optimal values of parameters in the proposed method are the main limitations where the method will be applied to the economic operation of the hydro‐plant. Practical implications – The paper presents useful advice for short‐term economic operations of the hydro‐plant. A new optimization method to solve the short‐term optimal generation scheduling is proposed. The optimal generation power and water discharge during the whole dispatching time for hydro‐plant operation can be obtained. Originality/value – The IPSO method is realized by maintaining high diversity of the swarm during the optimization process and preventing premature convergence.

Journal

KybernetesEmerald Publishing

Published: Aug 10, 2010

Keywords: Cybernetics; Optimization techniques; Electric power stations; Constraint handling

References

  • Blown‐up theory of evolution science and fundamental problems of the first push
    OuYang, S.C.; Lin, Y.; Wang, Z.; Peng, T.Y.

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create folders to
organize your research

Export folders, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off