Assessing the impact of day-ahead real-time pricing (da-rtp) demand response on smart grid
In the foreseeable future, with the full deployment of Advanced Metering Infrastructure (AMI) in electric grid systems in the US, the Day-Ahead Real-Time Pricing (DA-RTP) demand response program would get technical support for its large-scale implementation. So, it is necessary to evaluate the impact of DA-RTP on the future smart grid. This thesis assesses the impact of DA-RTP on a smart grid by modifying three Scenarios based on standard IEEE 30-bus test system. The system costs and stability of the three Scenarios are quantified by tools of Optimal Power Flow (OPF) and Transient Stability (TS). The results show, at a steady state operating point, DA-RTP saves system cost and lowers energy loss. At a transient operating point, with an integration of DA-RTP, the smart grid system improves stabilities of rotor angle and field voltage, as well as, reducing real and reactive power generation oscillation. These assessment results indicate DA-RTP benefits the future smart grid by efficiently reducing the system operating cost and increasing the stability performance.