Minimizing the impact of contingency in multiple-period short-term operational planning with RAS-FUBM for wind integration

Renewable energy-based power systems are highly influenced by weather, creating uncertainty and variability in output that fluctuates over time, making the balancing of supply and demand much more challenging.A deterministic optimisation tool has limitations associated with the security operation of short-term operational planning.To address the issue, this paper proposes a multiple period Security Constraint Optimal Power Flow (SCOPF) short-term operational planning incorporated with Remedial Action Scheme Flexible Universal Branch Model (RAS-FUBM), aiming to mitigate the contingencies in the network system.The proposed method utilises scaling factors and a partitioning technique, considering day-ahead planning with a duration of 24 hours.The effectiveness of RAS-FUBM controls (i.e., RAS-FUBM Conventional Control (CC) and RAS-FUBM Droop Control (DC)) has been demonstrated through simulation results, evaluating the overall generation costs, voltage profiles and active power flows.Both controls were able to improve two imperative variables, voltages and active power flows, achieving a stable state when the contingency struck the system.Observations indicated that RAS-FUBM DC demonstrated a lower cost.The objective of representing uncertainty with a time horizon in the SCOPF problem is to assist the Transmission System Operator (TSO) in making better decisions, leading to more economical solutions, improved security and reduced risk.