Experimental Demand Response Scheme Evaluation Using Agent-Based Modeling

  • Ioannis A. Kangas

Student thesis: Master's Thesis

Abstract

This thesis proposes an experimental evaluation of demand response scheme. The objective of this experiment is to test the behavior of an electricity market under a five-minute real time pricing scheme. This function depends on the deployment of smart-grid. A smart-grid can be used to match a capacity constrained and variable energy supply, e.g. a micro-grid with significant renewables, to the demanded load and provide effective demand side management. This implies that the smart grid comprehensively monitors energy use, as well as power demand, and implements interventions to reduce demand whenever the time-averaged consumption begins to exceed supply with options for load shifting or load curtailment. The energy consumptive behavior of the residents is centrally important in both aspects of demand management. To manage energy use and alter the load shape, incentive schemes should be non-intrusive and easily understandable. We examine the demand patterns, price volatility and the impact of energy storage and of the income distribution of a community, for a real-time pricing electricity system using a simulated 100% renewable energy supply. Demand is simulated using agent-based modeling of price responsive end users and other market participants.
Date of AwardMay 2014
Original languageAmerican English
SupervisorSgouris Sgouridis (Supervisor)

Keywords

  • Demand Response Scheme; Smart Grid; Renewable Energy Sources.

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