Dataset for Energy Resource Management Considering Participation in the Wholesale Day-Ahead Market

<p>This release is associated with a paper entitled &quot;A Novel Framework for Day-Ahead Market Clearing Process Featuring a Hybrid Pricing Mechanism&quot;.</p> <p>In this document, we provide the mathematical manipulation employed to linearize an MPEC problem that models the market-clearing process considering the participation of generation companies and distribution operators in the day-ahead market.&nbsp;Additionally, we provide a numerical example of the pricing mechanism designed for solving the optimization problem.&nbsp;</p> <p>Finally, we include information regarding the&nbsp;transmission and distribution power systems adopted to present the results shown in the paper. These systems are modified versions&nbsp;of the IEEE&nbsp;<a href="https://icseg.iti.illinois.edu/ieee-14-bus-system/">14-bus</a> and the IEEE <a href="https://cmte.ieee.org/pes-testfeeders/resources/">34-bus</a>, respectively.&nbsp;Three renewable non-dispatchable generators were added to the original 14-bus system, while 5 dispatchable generators and 3 non-dispatchable generators were added to the distribution system. 13 load shapes were considered as well as 5 scenarios for each uncertain variable&nbsp;(wind velocity, solar irradiance, distribution load oscillation, and transmission load oscillation). The data regarding the costs and physical parameters of each of the power system&#39;s elements are provided in this document.</p>