Tunable Experimental Testbed for Evaluating Load Coordination Methods
Driven by the need to offset the variability of wind and solar generation on the electrical grid, development of load controls is a highly active field in the engineering literature. However, practical use of residential loads for grid balancing and ancillary services remains rare, in part due to the relative cost of communicating with hordes of small loads and also due to the limited experimentation done so far to demonstrate reliable operation. To establish a basis for the safe and reliable use of fleets of small compressor loads as distributed energy resources (DERs), we have constructed an experimental testbed in a laboratory, so that load coordination schemes can be tested at extreme conditions within a laboratory environment. This experiment can be used to tune a simulation testbed to which it can then be linked, thereby augmenting the effective size of the ensemble of loads. Control algorithms can simply be plugged in for testing. Modeling of the system was done both to demonstrate the experimental testbed's behavior and also to understand how to tune the behavior of each participating model house in the system. Implementing this testbed has been useful for the rapid turnaround of experiments on various control types, and it enables testing year-round without the constraints and limitations arising in seasonal field tests with real human participants.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
CogniLoad: A Synthetic Natural Language Reasoning Benchmark With Tunable Length, Intrinsic Difficulty, and Distractor Density
Current benchmarks for long-context reasoning in Large Language Models (LLMs) often blur critical factors like intrinsic task complexity, distractor interference, and task length. To enable more precise failure analysis,…
Beyond-Diagonal RIS Prototype and Performance Evaluation
We present the first experimental prototype of a reflective beyond-diagonal reconfigurable intelligent surface (BD-RIS), i.e., a RIS with reconfigurable inter-element connections. Our BD-RIS consists of an antenna array …
Constraint-Aware Aggregation for Federated Reinforcement Learning in Microgrid Energy Coordination
Federated Reinforcement Learning (FedRL) enables coordination of distributed energy resources without sharing raw local data, but standard aggregation methods such as FedAvg do not account for system-level constraints, o…
Reinforcement LearningPhysics-compliant diagonal representation of beyond-diagonal RIS
Physics-compliant models of RIS-parametrized channels assign a load-terminated port to each RIS element. For conventional diagonal RIS (D-RIS), each auxiliary port is terminated by its own independent and individually tu…
Vision Language Action (VLA) Models for Unmanned Aerial Robotics and Bimanual Manipulation: A Review
Vision Language Action (VLA) models unify visual perception, natural-language understanding, and action generation within a single foundation model, allowing a robot to follow instructions such as fold the towel or fly t…