DocumentCode :
2230849
Title :
Comparison of loss allocation methods using particle swarm optimization
Author :
Nouri, S. ; Jadid, S.
Author_Institution :
Dept. of Electr. Eng., Iran Univ. of Sci. & Technol., Tehran, Iran
fYear :
2008
fDate :
28-30 Sept. 2008
Firstpage :
1
Lastpage :
8
Abstract :
In this paper two loss allocation (LA) schemes based on the principle of equivalent bilateral exchanges (EBEs) and the network Z-bus matrix are compared with each other. The modified IEEE 14-bus network has been selected as case study. Several operating conditions such as, load increment and system congestions are applied to the test system in order to evaluate the loss allocation methods. In the case of network congestions optimal power flow is used based on a P.S.O. method. An economic analysis with these LA methods is also carried out. Results show that these economic indexes are very close to the marginal costs derived from an optimal power flow (OPF) approach with the advantage of reducing volatility. They also indicate that the allocation schemes produce loss allocations that are appropriate and they behave in a physically reasonable manner while the congestion is occurred.
Keywords :
load dispatching; load flow; losses; particle swarm optimisation; power system economics; IEEE 14-bus network; economic analysis; equivalent bilateral exchange; load increment; loss allocation method; network Z-bus matrix; network congestion; optimal power flow; particle swarm optimization; system congestion; Character generation; Contracts; Costs; Electricity supply industry; Load flow; Particle swarm optimization; Power generation; Power generation economics; Power system economics; Propagation losses; Equivalent Bilateral Exchanges (EBE); Loss Allocation (LA); Optimal Power Flow (OPF); Particle Swarm Optimization (PSO); Transmission Loss;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Symposium, 2008. NAPS '08. 40th North American
Conference_Location :
Calgary, AB
Print_ISBN :
978-1-4244-4283-6
Type :
conf
DOI :
10.1109/NAPS.2008.5307382
Filename :
5307382
Link To Document :
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