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An alternative method to solve combined economic emission dispatch problems using flower pollination algorithm

Hong, Mee Song (2016) An alternative method to solve combined economic emission dispatch problems using flower pollination algorithm. Masters thesis, Universiti Malaysia Pahang.

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Abstract

Flower Pollination Algorithm (FPA) is a new biologically inspired meta-heuristic optimization technique based the pollination process of flowers. FPA mimics the flower pollination characteristics in order to survival by the fittest. This research presents implementation of FPA optimization in solving Combined Economic Emission Dispatch (CEED) problems in power system which minimize total generation cost by minimizing fuel cost and emission. Increasing in power demand requires effective solution to provide sufficient electricity to customer with minimum cost of operation at the same time considering emission. CEED actually is a multi-objective problem and need complex programming to solve it. The problem becomes complicated when there is practical constraints to be considered as well. To simplify the programming, objective of economic dispatch (ED) and emission dispatch (EmD) are combined into a single function by price penalty factor and analysed using weighted sum method to choose the best compromising result. In this research, the valve point loading effect problem in power system also will be considered. The proposed algorithm are tested on four different test systems which are: 6-generating unit and 11-generating unit without valve point effect with no transmission loss, 10-generating unit with having valve point effect and transmission loss, and lastly 40-generating unit with having valve point effect without transmission loss. The results of these four different test cases were compared with the optimization techniques reported in recent literature in order to observe the effectiveness of FPA. Result shows FPA able to perform better than other algorithms by having minimum fuel cost and emission.

Item Type: Thesis (Masters)
Additional Information: Thesis (Master of Engineering in Electrical (Power Systems)) -- Universiti Malaysia Pahang – 2016, SV: DR. MOHD HERWAN BIN SULAIMAN
Uncontrolled Keywords: Flower Pollination Algorithm; economic dispatch
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Depositing User: Ms. Nurezzatul Akmal Salleh
Date Deposited: 02 May 2017 00:51
Last Modified: 02 May 2017 00:51
URI: http://umpir.ump.edu.my/id/eprint/17594
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