Energy Digest

A zero-knowledge verification method for P2P energy trading guides is proposed, allowing participants to verify transaction integrity without revealing network sensitivities. The method uses bilinear pairings and arithmetic circuits to verify guide computation from committed private network data, ensuring tamper-evident auditability. This approach satisfies balance, voltage, line-flow, and optimality conditions while minimizing on-chain overhead.

A new method for model predictive control (MPC) tuning has been proposed, which ensures robust performance under bounded model uncertainties by solving a convex linear optimization problem. This approach enhances robustness without increasing computational burden, and its effectiveness is validated through testing on a real-time digital simulator model of a high-voltage direct current transmission system. The method outperforms conventional LQR-based MPC tuning in terms of performance.

Transition mechanisms for adaptive droop gains in parallel grid-forming inverters were evaluated, with results showing that shaping the droop gain trajectory significantly reduces transient deviations. A cubic S-curve transition provided the strongest transient mitigation, reducing active-power overshoot by approximately 115W and frequency overshoot to about 0.003Hz. This approach can help minimize power and frequency transients in standalone microgrid operation.

Quantifying Converter Grid Impedance Asymmetry as Indicator of Stability Margin reveals that converter grid asymmetry, introduced through loops like DC-link voltage control and phase-locked loop, can indicate instability margins. A robust analysis using the Asymmetricity Quantification Index (AQI) correlates increased asymmetry with reduced stability margins. Reducing asymmetricity without compromising controller functionality can improve stability margins.

The article presents an event-driven Monte Carlo framework for modeling repair logistics in utility-scale PV inverters, capturing the full repair cycle and incorporating opportunistic scheduling to improve throughput without added capacity. The model is calibrated using empirical data, reproducing the bimodal structure of actual repair durations with high accuracy. Opportunistic scheduling allows 51.2% of units to be accommodated through temporary idle lines, providing a significant recoverable resource for scheduling.

An Admittance-Based Inverter Connection Screening Tool (ICST) has been proposed to assess the impact of prospective inverter configurations on small-signal system strength, enabling more efficient and accurate planning of inverter-based resources. The tool evaluates candidate inverter configurations based on their admittances at critical modal frequencies and the system's admittance spectrum, allowing for accurate predictions of small-signal stability. The ICST has been demonstrated using a modified IEEE 57-bus system and shown to be effective in selecting suitable inverter control configurations.

The proposed framework integrates green hydrogen into local energy markets by regulating participation through explicit renewable access mechanisms, which optimizes electricity trading, battery operation, wind allocation, and hydrogen production. Hydrogen supply options and local wind access significantly impact the system's behavior, cost optimization, and competition with households for energy distribution. The integration of hydrogen is largely a market design problem influenced by renewable access rules, affecting flexibility interactions and seasonal performance.

Researchers developed a large-signal stability analysis for an optimization-based control architecture used in inverter-interfaced distributed energy resources within virtual power plants. The system uses sampling data to optimize performance, but its stability was not previously fully analyzed. A comprehensive study of the secondary controller's behavior has been conducted.

A proposed computational framework, called Violation-Informed Spatio-Temporal Adaptive Targeting (STAT), helps plan electric vehicle-driven distribution system expansion to mitigate severe voltage drops and line overloads. The STAT framework identifies potential violations through a model and then co-optimizes investment decisions for various infrastructure upgrades. It successfully reduces temporal and spatial planning dimensions while preserving planning fidelity, eliminating EV-induced voltage and thermal violations in case studies on 33-bus and 240-bus distribution systems.