Title: Distributed generation long-term planning in smart distribution systems considering daily optimal operation

Authors: Hatem Sindi; Mostafa Shaaban; Ehab El-Saadany

Addresses: Electrical and Computer Engineering Department, University of Waterloo, 200 University Ave W, Waterloo, ON N2L 3G1, Canada ' Department of Electrical Engineering, American University of Sharjah, University City, P.O. Box 26666, Sharjah, UAE ' Electrical and Computer Engineering Department, University of Waterloo, 200 University Ave W, Waterloo, ON N2L 3G1, Canada

Abstract: An algorithm to maximise distributed generation (DG) hosting capacity in a system while lowering overall system cost is proposed in this paper. This algorithm considers several realistic aspects of long-term DG planning, such as cost effective design of feeder reinforcement. It allocates DGs and provide the type, size, location and year of installation. Both dispatchable and non-dispatchable DG technologies are used. The complexity of the problem necessitates modelling the problem as a mixed integer nonlinear programming. This is performed while considering the daily optimal operation of the allocated DGs. A case study of test system was conducted over a planning period of 20 years with every year consisting of eight-day patterns and each day having varied hours.

Keywords: smart distribution systems; optimisation; operation; smart grid; distributed generation; long-term planning; feeder reinforcement; modelling; MINLP; mixed integer nonlinear programming; power generation.

DOI: 10.1504/IJPSE.2016.081206

International Journal of Process Systems Engineering, 2016 Vol.4 No.1, pp.19 - 40

Received: 29 Jan 2016
Accepted: 16 Apr 2016
Published online: 27 Dec 2016 *