| dc.contributor.author | Mohd Herwan, Sulaiman | |
| dc.contributor.author | Mustafa, M. W. | |
| dc.contributor.author | Aliman, O. | |
| dc.date.accessioned | 2010-08-03T07:57:59Z | |
| dc.date.available | 2010-08-03T07:57:59Z | |
| dc.date.issued | 2009-11-23 | |
| dc.identifier.citation | p.1-5 | en_US |
| dc.identifier.isbn | 978-142444547-9 | |
| dc.identifier.uri | http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5396005&tag=1 | |
| dc.identifier.uri | http://dspace.unimap.edu.my/123456789/8444 | |
| dc.description | Link to publisher's homepage at http://ieeexplore.ieee.org/ | en_US |
| dc.description.abstract | Transmission loss and load flow allocations become important issues under deregulation system. Due to nonlinear nature of power flow, tracing the loss and power flow through the mesh network becomes more complicated. Since the complexity of electricity transmission system, it is not straightforward to determine the contribution of particular generator to a particular line loss and/ or load. This paper will discuss load flow and loss allocation using Genetic Algorithm (GA) technique. GA is one of the optimization techniques that apply natural phenomena, viz. genetic inheritance and Darwinian strive for survival. Transmission loss and load flow allocations problem will be treated as an optimization problem. In this paper, Ward-Hale 6-bus test system will be used to demonstrate the effectiveness of the technique and validated by IEEE 30-bus test system. Comparison with other method is also given. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Institute of Electrical and Electronics Engineering (IEEE) | en_US |
| dc.relation.ispartofseries | Proceedings of the IEEE Region 10 Annual International Conference, Proceedings/TENCON | en_US |
| dc.subject | Deregulation | en_US |
| dc.subject | Genetic algorithm (GA) | en_US |
| dc.subject | Load flow | en_US |
| dc.subject | Transmission loss allocation | en_US |
| dc.title | Transmission loss and load flow allocations via genetic algorithm technique | en_US |
| dc.type | Working Paper | en_US |
