Energy Digest

S3TS is a new planning algorithm that addresses both non-linearity and uncertainty in energy sector scheduling by representing uncertainty through scenario trees while integrating advanced models. The algorithm outperforms baseline methods in highly non-linear scenarios, achieving cost reductions of up to 51% compared to myopic algorithms, and costs within 14% of the mathematically optimal solution in linear settings. S3TS is suitable for optimizing energy dispatch and storage systems in the face of uncertainty and non-linearity in modern grids.

A cyber attack detection method using a drifted multivariate Ornstein-Uhlenbeck process is proposed to detect false data injection attacks in power system Automatic Generation Control systems. The method delivers accurate and rapid detection of sophisticated attacks, outperforming traditional methods such as unknown input observer and Long Short-Term Memory Autoencoder approaches. It can detect attacks regardless of load observability.

Data centers integrating into distribution networks face varying hosting capacities due to network topology and electrical distance. Three limiting mechanisms identified are current-constrained locations, voltage-constrained locations, and mixed-constrained locations that affect hosting capacity. Flexible resources such as battery energy storage systems, dispatchable distributed generators, and static synchronous compensators can increase hosting capacity by providing active power support, local generation, and reactive power compensation.

A new battery energy storage model guarantees feasibility at the element-level while preserving computational tractability for large fleets of heterogeneous batteries. The proposed model ensures that dispatch solutions respect individual power limits, energy limits, and complementarity constraints under a priority-based controller. This formulation produces feasible dispatch solutions in unit-commitment settings with effective solve times independent of system size.

Electric vehicle charging station pricing and capacity decisions can lead to unequal access to charging infrastructure among different demographic groups, but targeted incentives can guide operators toward more equitable outcomes without sacrificing efficiency. The transition to electric mobility requires a market equilibrium that balances efficiency with social equity, which can be achieved through carefully calibrated incentives. Policymakers can use this framework to reconcile free-market dynamics with broader societal goals of fairness in electrified mobility systems.