Short-term hydro thermal generation scheduling using modified invasive weed optimisation algorithm
by K.R. Krishnanand, R. Sharma, P.K. Rout
International Journal of Power and Energy Conversion (IJPEC), Vol. 2, No. 4, 2011

Abstract: This paper presents a radical methodology to find the solution of optimal short-term hydrothermal generation scheduling problem using modified invasive weed optimisation algorithm (MIWOA). The hydrothermal system is highly non-linear and non-convex due to its constraints, making the optimal scheduling difficult. In this paper, a modified invasive weed optimisation algorithm with parallel probabilistic search method is applied for better convergence of the optimisation process and simultaneously, the implicit fundamentals of conventional invasive weed optimisation algorithm are preserved. The proposed MIWOA is applied to a test system with cascaded hydro reservoirs and a complementary thermal plant. The results are compared with those obtained by the dynamic programming, non-linear programming, classical evolutionary programming (CEP), fast evolutionary programming (FEP), improved fast evolutionary programming (IFEP), differential evolution (DE) and improved particle swarm optimisation (IPSO) approaches. The simulation results reveal that the proposed MIWOA performs better in finding the optimal cost than the other techniques compared.

Online publication date: Thu, 29-Jan-2015

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Power and Energy Conversion (IJPEC):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com