Title: Smart Energy Optimization Using Heuristic Algorithm in Smart Grid with Integration of Solar Energy Sources

Abstract:

Smart grid (SG) vision has come to incorporate various communication technologies, which facilitate residential users to adopt different scheduling schemes in order to manage energy usage with reduced carbon emission. In this work, we have proposed a residential load management mechanism with the incorporation of energy resources (RESs) i.e., solar energy. For this purpose, a real-time electricity price (RTP), energy demand, user preferences and renewable energy parameters are taken as an inputs and genetic algorithm (GA) has been used to manage and schedule residential load with the objective of cost, user discomfort, and peak-to-average ratio (PAR) reduction. Initially, RTP is used to reduce the energy consumption cost. However, to minimize the cost along with reducing the peaks, a combined pricing model, i.e., RTP with inclining block rate (IBR) has been used which incorporates user preferences and RES to optimally schedule load demand. User comfort and cost reduction are contradictory objectives, and difficult to maximize, simultaneously. Considering this trade-off, a combined pricing scheme is modelled in such a way that users are given priority to achieve their objective as per their requirements. To validate and analyze the performance of the proposed algorithm, we first propose mathematical models of all utilized loads, and then multi-objective optimization problem has been formulated. Furthermore, analytical results regarding the objective function and the associated constraints have also been provided to validate simulation results. Simulation results demonstrate a significant reduction in the energy cost along with the achievement of both grid stability in terms of reduced peak and high comfort.

Biography:

Urooj Asgher completed her MS from The University of Lahore, Pakistan in 2018. Prior to this, she completed BS from the same university in 2013. She also worked with Dr. Muhammad Babar Rasheed as a researcher at University of Lahore. Urooj has been teaching in University of Lahore (UOL) as an Assistant Professor in Department of Electronics &Electrical Systems. The research interests include; Energy Optimization in Smart Grid, Linear, Non-linear & Heuristic Optimization techniques. She has presented a paper on demand response benefits for load management through heuristic algorithm in smart grid in the University of Pieas Islamabad at the International Symposium on Recent Advances in Electrical Engineering 2018 conference in Pakistan.