Energy Digest

Researchers have identified a method to decouple coupled oscillators in power networks using output feedback with application to linearized swing dynamics. The approach focuses on isolating subsets of nodes from exogenous disturbances using batteries that can add or withdraw active power, achieving complete disturbance decoupling for a class of coupled oscillator networks. Numerical simulations on the IEEE New England 39-bus system demonstrate the effectiveness and minimal actuator placement of the proposed methodology.

A data-driven approach to linear quadratic integral control is presented, enabling optimal state-feedback control with integral action for reference tracking using only measured input-state-output data. A convex optimization problem and policy gradient flow are derived to compute the optimal controller without explicit knowledge of system matrices. The method has been demonstrated to be effective in a numerical example involving a distributed generation unit in a DC microgrid.

Simplifying pipeline gas flow models can lead to expansion plans that incur substantial regret when evaluated under a more realistic dynamic gas flow model, resulting in suboptimal system expansion and operation. Planning under highly simplified models can result in regret exceeding several thousand percent, yielding expansion plans with significant cost-reduction potential untapped. Developing efficient solution algorithms for the dynamic model is a promising direction for future research.

The increasing use of inverter-based resources in power grids introduces fast dynamics that are challenging to accurately model and analyze using standard transient stability methods. Electromagnetic transient-synchronous stability hybrid simulation offers a balanced trade-off between accuracy and speed, but its boundary or interface can be inaccurate. An error index is introduced to quantify EMT-TS hybrid interface errors, with proposed expansions to improve simulation accuracy under unbalanced conditions.

Researchers have developed a framework to quantify energy reserves for distributed frequency and voltage control of Grid-Forming Inverters, enabling more efficient operation of Microgrids and Networks of MGs. The proposed method involves a modified DAPI controller with regulation energy reserve consensus and hardware-in-the-loop simulation. This framework demonstrates effective frequency and voltage regulation, as well as improved power and energy sharing among droop-controlled and VSM-controlled inverters.

A degradation-aware predictive energy management strategy for hydrogen-based zero-emission ships minimizes operational cost by reducing hydrogen consumption (up to 5.8%) and cell degradation (up to 36.4%) using data-driven load forecasting, outperforming a filter-based benchmark. The approach utilizes real onboard measurements to make accurate 15-minute load predictions and demonstrates further reductions with increased prediction horizons. This strategy can enhance the economic competitiveness of zero-emission ships in the maritime sector.

The article proposes a method for co-optimizing power system capacity planning decisions and policy investments that shape electricity load patterns, leveraging differentiable scenario generation to compute gradients. The approach uses a gradient-based solution technique to efficiently solve operation-aware planning models, and is demonstrated through numerical experiments using machine learning-based scenario generators and planning models. This enables the efficient solution of complex power system optimization problems.