m.j sanjari - Electrical Engineering Department, Amirkabir University of Technology, Tehran, Iran,
f rameshkhah - Great Tehran Electrical Distribution Company, Tehran, Iran
s eskandari - Great Tehran Electrical Distribution Company, Tehran, Iran
s.m hashemi - Great Tehran Electrical Distribution Company, Tehran, Iran

the largest part of an electrical grid is distribution system, which is directly in contact with people.Therefore, the importance of automation in this section is quite evident. In addition, the number ofdistribution substations is very high and implementation of automation devices in all distribution substationsis not economically affordable because it requires a large amount of investment. Thus, it is necessary to have a powerful state estimation method to have information about the distribution network based on the limited measurements done in this system. In this paper, a new artificial intelligence (AI) based method is presentedto load profile estimation in distribution network. By using the proposed method, the number of the RemoteTerminal Units (RTU) needed for state estimation is determined such that the load profile can be estimated in all of the buses.

RTU placement; Distribution network; load profile