Tootfinder

Optimal Operating Strategy for PV-BESS Households: Balancing Self-Consumption and Self-Sufficiency
Jun Wook Heo, Raja Jurdak, Sara Khalifa
https://arxiv.org/abs/2506.17268

Optimal Operating Strategy for PV-BESS Households: Balancing Self-Consumption and Self-Sufficiency
High penetration of Photovoltaic (PV) generation and Battery Energy Storage System (BESS) in individual households increases the demand for solutions to determine the optimal PV generation power and the capacity of BESS. Self-consumption and self-sufficiency are essential for optimising the operation of PV-BESS systems in households, aiming to minimise power import from and export to the main grid. However, self-consumption and self-sufficiency are not independent; they share a linear relations…

"What actually happened was that a minor instability, possibly caused by a solar farm, spiraled into a bigger problem when conventional generators (most of them gas-fired) failed to supply the grid-balancing services they’d been paid for. That in turn caused swaths of power plants to disconnect to protect themselves, similar to what happens in your home when the fuse box trips."
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Microgrids Coalitions for Energy Market Balancing
Viorica Chifu, Cristina Bianca Pop, Tudor Cioara, Ionut Anghel
https://arxiv.org/abs/2506.06058 https://

Microgrids Coalitions for Energy Market Balancing
With the integration of renewable sources in electricity distribution networks, the need to develop intelligent mechanisms for balancing the energy market has arisen. In the absence of such mechanisms, the energy market may face imbalances that can lead to power outages, financial losses or instability at the grid level. In this context, the grouping of microgrids into optimal coalitions that can absorb energy from the market during periods of surplus or supply energy to the market during perio…

ALE-Bench: A Benchmark for Long-Horizon Objective-Driven Algorithm Engineering
Yuki Imajuku, Kohki Horie, Yoichi Iwata, Kensho Aoki, Naohiro Takahashi, Takuya Akiba
https://arxiv.org/abs/2506.09050

ALE-Bench: A Benchmark for Long-Horizon Objective-Driven Algorithm Engineering
How well do AI systems perform in algorithm engineering for hard optimization problems in domains such as package-delivery routing, crew scheduling, factory production planning, and power-grid balancing? We introduce ALE-Bench, a new benchmark for evaluating AI systems on score-based algorithmic programming contests. Drawing on real tasks from the AtCoder Heuristic Contests, ALE-Bench presents optimization problems that are computationally hard and admit no known exact solution. Unlike short-du…