Title :
Allocation of solar units to reduce annual costs of the distribution system
Author :
Sadeghi, Mohammadreza ; Kalantar, Mohsen
Author_Institution :
Dept. of Electr. Eng., Iran Univ. of Sci. & Technol., Tehran, Iran
Abstract :
It is widely accepted that renewable sources can find their significant role in power distribution systems. These non-pollutant resources have a lot of advantages such as reducing active power loss, increasing reliability, supplying the peak load duration time, etc. This paper presents a solar unit planning considering uncertainty of solar radiance in order to reduce the costs of the distribution system including costs of energy loss, energy not supplied costs and the purchased power costs. The uncertainty of solar radiance is modeled with Beta probability density function. The planning problem is formulated as mixed integer nonlinear programming (MINLP) and is tested on a 9 bus distribution system using GAMS software. The results show a significant reduction in costs of distribution system in presence of solar units.
Keywords :
cost reduction; distributed power generation; integer programming; nonlinear programming; power distribution economics; power generation economics; power generation planning; probability; solar power stations; Beta probability density function; GAMS software; MINLP; active power loss reduction; annual cost reduction; energy loss; energy not supplied costs; mixed integer nonlinear programming; nonpollutant resources; peak load duration time; power distribution systems; purchased power costs; reliability; renewable energy sources; solar radiance uncertainty; solar unit allocation; solar unit planning problem; Energy loss; Equations; Mathematical model; Planning; Probabilistic logic; Resource management; Uncertainty; Probabilistic approach; Probability density function; Solar unit; Uncertainty;
Conference_Titel :
Environment and Electrical Engineering (EEEIC), 2013 13th International Conference on
Conference_Location :
Wroclaw
Print_ISBN :
978-1-4799-2802-6
DOI :
10.1109/EEEIC-2.2013.6737896