Optimal Look-Ahead Strategic Bidding/Offering of Integrated Renewable Power Plants and CAES With Stochastic-Robust Approach

Abstract

Today, due to the high penetration of renewable energy resources and restructuring of power systems, photovoltaic power plants (PVPPs) and wind power plants (WPPs) as renewable power plants (RPPs) can participate in the electricity markets. However, the intermittent power generation of RPPs may be challenging for the owners of these power plants. In order to mitigate the unpredictable and intermittent power generation of RPPs, energy storage systems like compressed air energy storage (CAES) can be an appropriate solution. In this paper, the optimal day-ahead and look-ahead strategic offering and bidding of integrated RPPs and CAES in the electricity market are investigated. Also, a stochastic-robust approach is proposed for modeling renewable generation and electricity price uncertainty. The proposed mixed-integer linear program (MILP) is formulated in GAMS software under the CPLEX solver. Three case studies are investigated to validate the proposed method. According to numerical results, in the optimistic strategy, the coordinator of RPPs and CAES has more opportunities to participate in the electricity market. But in This article has been accepted for publication in IEEE Access.

A smooth grid connection strategy for compressed air energy storage based on adaptive PI control

“…This paper establishes a mathematical model for the operation of advanced adiabatic compressed air energy storage system under reasonable simplified conditions based on the thermodynamic, heat transfer, fluid mechanics, and electrical mechanisms of the main devices in the system (I. Calero et al, 2020;Mirzapour-Kamanaj et al, 2022). The mathematical model of each device is shown in Eqs 1-21.…”