Intelligent day-ahead scheduling for distribution networks with high penetration of Distributed Renewable Energy Sources (original) (raw)
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since 1984 he worked at SSRC, HIAST, CNR, CRF, DCU and UWS. Prof Olabi has supervised postgraduate research students (10 M.Eng and 30PhD) to successful completion. Prof Olabi has edited 12 proceedings, and has published more than 135 papers in peer-reviewed international journals and about 135 papers in international conferences, in addition to 30 book chapters. In the last 12 months Prof Olabi has patented 2 innovative projects. Prof Olabi is the founder of the International Conference on Sustainable Energy
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Smart distribution networks (SDNs) plays a significant role in future power networks. Accordingly, the optimal scheduling of such networks, which include planning of consumers and production sections, inconsiderably concerned in recent research studies. In this paper, the optimal planning of energy and reserve of SDNs has been studied. Technical constraints of distribution network and power generation units are satisfied in the optimal solution of day-ahead scheduling of the network. The proposed model is studied on a case instance for evaluating the performance and analyzing the optimal solution. A modified IEEE 32-bus test system is considered as test system, in which three wind turbines and four diesel generators are placed. Industrial, residential and commercial consumers can use demand response programs to change electrical energy consuming scheduling. In this paper, incentive based demand response programs are studied for improving the optimal solution. Two demand response providers and two industrial loads are taken into account for employing demand response programs. The obtained optimal solutions are prepared and analyzed, which shows the effectiveness of the proposed model.