107
Views
8
CrossRef citations to date
0
Altmetric
Articles

The exchange market algorithm with smart searching for solving economic dispatch problems

&
Pages 175-187 | Received 07 Nov 2016, Accepted 23 Jul 2017, Published online: 21 Nov 2017
 

Abstract

This paper introduces the exchange market algorithm with smart searching (EMA-SS) for solving optimization problems in which a penalty factor has been embedded. The EMA-SS is a special version of the exchange market algorithm that imposes restrictions on the market and therefore asks shareholders to select shares with the total amount required. The need for a penalty factor is obviated resulting in a reduced search space and thus the ability of the algorithm to find an optimum point is increased. A penalty factor is used in solving the economic dispatch of a thermal generating unit problem where the total output power equates load demand and power loss. In this paper, the convex and non-convex economic dispatch of thermal generating units is optimized using the EMA-SS in large power systems with dimensions of 15, 20, 38, 40 and 140 units considering network losses, the equality and inequality constraints of the system, ramp rate limits, valve-point effects and prohibited operation zones. The obtained results are compared with those of the EMA and several robust and efficient techniques that use a penalty factor. The results of the EMA-SS verify its efficacy in solving economic dispatch problems in comparison with other methods.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 289.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.