Reliability-Based Thermal and Wind Units Economic Dispatch in the Presence of DSRP

Abstract

This article proposes a two-stage reliability-based model for the economic dispatch (ED) of thermal units (TUs) and wind turbines (WTs) in the presence of a demand-side response program (DSRP). In the first stage, the well-being analysis (WBS) is performed to determine the power generation and spinning reserve (SR) of the TUs regarding the timely power generation of WTs. In the second stage, the adoption of the responsive load consumption with various conditions of the generation system in the power pool market is established using the cost of expected energy not served criterion. This optimization problem is solved at two stages using the genetic algorithm. To validate the proposed model, numerical studies have been applied to the generation part of 24-Bus IEEE standard test power system including 11 TUs, one wind farm, and 1000 EVs. It is found from simulation results that an 8%–10% shift and increase in the energy consumption with responsive loads (RLs) participation especially EVs during low-load and off-peak hours can lead to more than 53.83% saving in total reliability cost of power system. In addition, the daily smooth load profile causes to savings in total load ED on TUs in the presence of WTs due to removing the unnecessary startup and shot-down costs during a day.