Simultaneous placement sub-transmission substation and distributed generation considering load uncertainty

Journal Title: International Research Journal of Applied and Basic Sciences - Year 2013, Vol 4, Issue 10

Abstract

Generally, the main goal of distribution networks design and expansion is to respond to electricity consumption growth with the most efficiency, while not contravene the constraints governing the system. High amount of investment and along with the ever-increasing demand for energy and equipment price growth make the designers concentrate on more precise and suitable ways to design these networks. Appearance of distributed generation in distribution systems in addition to change in operation stages of these systems has provided the ability for these companies to design systems with lower cost. To gain this goal, the design of distribution systems should be revised. This paper presents a new method to obtain the number, location, capacity and servicing area of each sub-transmission substation through candidate and available substation locations, considering the possibility of DG installation on any of load centers, where The uncertainty of forecasted load of each load center is considered as a fuzzy model. In this method the optimization is performed using genetic algorithm with constraints including voltage drop, substations and DGs loading capacity and unidirectional connection between substations and loads.

Authors and Affiliations

Hamid Asadi Bagal| Science and Research Branch, Islamic Azad University, Tehran, Iran, Member student IEE, hamidasadi.b@gmail.com, Sodabeh Soleimani| Science and Research Branch, Islamic Azad University, Tehran, Iran, Babak Mozafari| Science and Research Branch, Islamic Azad University, Tehran, Iran, Alireza noruzi| Member student IEE

Keywords

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  • EP ID EP5697
  • DOI -
  • Views 265
  • Downloads 9

How To Cite

Hamid Asadi Bagal, Sodabeh Soleimani, Babak Mozafari, Alireza noruzi (2013). Simultaneous placement sub-transmission substation and distributed generation considering load uncertainty. International Research Journal of Applied and Basic Sciences, 4(10), 2884-2896. https://europub.co.uk./articles/-A-5697