Smart operation for AC distribution infrastructure involving hybrid renewable energy sources Conference

Mohamed, AA, Elshaer, MA, Mohammed, OA. (2011). Smart operation for AC distribution infrastructure involving hybrid renewable energy sources . 44(1 PART 1), 13679-13684. 10.3182/20110828-6-IT-1002.03192

cited authors

  • Mohamed, AA; Elshaer, MA; Mohammed, OA

authors

abstract

  • This paper presents an effective algorithm for optimizing the distribution system operation in a smart grid from cost and system stability points of view. This algorithm is mainly dependent on forecasted data of the power available from different renewable energy sources as well as the load demand. Hence, full attention was paid to the forecasting process. A non-linear regression technique was applied to build accurate forecasting models for different sources and load conditions. These models help in monitoring and predicting the total power generation and demand online. The main objective of the optimization process is to control the power shared from different sources such that they satisfy the load demand with the least cost while giving higher priority to renewable energy sources. Moreover, batteries are controlled in such a way that they are allowed to discharge only when there is no very big load predicted within a future period so that they become available to act as a buffer for a predicted large load increase which may affect the stability of the system and hence reduce voltage dips. A fuzzy controller was utilized to determine how many hours before a predicted occurrence of load the battery system should be turned off and what percentage of power should be taken out of the batteries and the grid to solve this issue. Different case studies were investigated to verify the validity of the proposed algorithm and define the system performance under several conditions. © 2011 IFAC.

publication date

  • January 1, 2011

Digital Object Identifier (DOI)

International Standard Book Number (ISBN) 13

start page

  • 13679

end page

  • 13684

volume

  • 44

issue

  • 1 PART 1