Speaker: Professor Raman Paranjape, University of Regina
Title: Optimal Residential Demand Response with Real-Time Price Prediction in a Multiagent Framework
Demand response (DR) is a recent effort to improve the efficiency of the electricity market and the stability of the power system. A successful implementation relies on both appropriate policy design and enabling technology. This paper presents a multiagent system to evaluate optimal residential DR implementation in a distribution network, in which the main stakeholders are modeled by heterogeneous home agents (HAs) and a retailer agent (RA). The HA is able to predict and control electricity load demand. A real-time price prediction model is developed for the HA and the RA. The optimal control of electricity consumption is formulated into a convex programming problem to minimize electricity payment and waiting time under real-time pricing. Simulation results show that the peak-to-average power ratio and electricity payments are significantly reduced using the proposed algorithms. The HA, with the proposed optimal control algorithms, can be embedded into a home energy management system to make intelligent decisions on behalf of homeowners responding to DR policies. The proposed agent system can be utilized to evaluate various strategies and emerging technologies that enable the implementation of DR.
Dr. Paranjape’s research interests are in both physical systems and software systems. Research in physical systems has focused on the development of sensor systems and new technologies in image and signal processing for real world applications in robotics and automated systems. Within the area of sensor technologies research applications include sensor packs for robotics in charged water pipe inspection, and flying robots (UAVs) using both vision and inertial sensor arrays. Dr. Paranjape also has a strong research program in mobile and software agent systems in Simulation and Modeling. There are two main areas in this work: Analysis and Retrieval of Medical Data and Modeling of Power Systems and Smart Grids. Dr. Paranjape has worked as a Research Scientist, Software Engineer, Project Leader, and Project Manager in Canadian Industry. He is currently a Professor of Electronic Systems Engineering at the University of Regina. He has published over 50 reviewed journal articles and book chapters, 80 conference papers and has numerous grants and research projects.
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