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Xiaojie Tao

Publications and source records attributed to Xiaojie Tao.

5 recordsLinked to original sources

Service-Oriented Fast Frequency Response from Flexible Loads and Energy Storage in Low-Inertia Power Systems

The increasing penetration of inverter-based renewable generation has significantly reduced system inertia, making modern power grids more vulnerable to rapid frequency deviations following disturbances. While a wide range of flexible resources-including electric vehicles (EVs), data centers, and battery energy storage systems (BESS)-have demonstrated the physical capability to provide fast frequency response (FFR), existing studies primarily focus on individual resource performance or controller-level designs. A systematic framework that translates heterogeneous FFR capabilities into deployable, system-level frequency services remains largely unexplored. This paper proposes a service-oriented coordination framework for fast frequency response from flexible loads and energy storage, bridging the gap between physical capability assessment and grid-operational utilization. The framework decomposes frequency support into multiple time-critical service layers based on response speed, power capacity, and energy sustainability, and dynamically allocates FFR responsibilities among heterogeneous resources accordingly. By explicitly accounting for response latency, saturation limits, and energy constraints, the proposed approach enables coordinated dispatch that prioritizes ultra-fast resources for initial frequency arrest while leveraging slower but energy-rich resources to sustain recovery.

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Fast Frequency Response Potential of Data Centers through Workload Modulation and UPS Coordination

The rapid growth of renewable energy sources has significantly reduced system inertia and increased the need for fast frequency response (FFR) in modern power systems. Data centers, as large and flexible electrical consumers, hold great potential to contribute to frequency stabilization due to their controllable IT workloads and on-site uninterruptible power supply (UPS) systems. This paper investigates the feasibility of leveraging data centers for providing fast frequency response through real-time workload modulation and UPS coordination. A dynamic model combining data center power consumption and grid frequency dynamics is developed, capturing the interactions between IT servers, cooling systems, and energy storage. Control strategies based on frequency deviation are implemented to adjust server power and discharge UPS batteries during frequency events. Case studies on a modified IEEE 39-bus system demonstrate that the proposed strategy can effectively reduce frequency nadir and shorten recovery time without compromising service quality. The results highlight the promising role of data centers as grid-supporting resources in future low-inertia systems.

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Coordinated Fast Frequency Response from Electric Vehicles, Data Centers, and Battery Energy Storage Systems

High renewable penetration has significantly reduced system inertia in modern power grids, increasing the need for fast frequency response (FFR) from distributed and non-traditional resources. While electric vehicles (EVs), data centers, and battery energy storage systems (BESS) have each demonstrated the capability to provide sub-second active power support, their combined frequency response potential has not been systematically evaluated. This paper proposes a coordinated control framework that aggregates these heterogeneous resources to provide fast, stable, and reliable FFR. Dynamic models for EV fleets, data center UPS and workload modulation, and BESS are developed, explicitly capturing their response times, power limits, and operational constraints. A hierarchical control architecture is introduced, where an upper-level coordinator dynamically allocates FFR among resources based on response speed and available capacity, and lower-level controllers implement the actual power response. Case studies based on the IEEE 39-bus test system demonstrate that the coordinated EV-DC-BESS framework improves frequency nadir by up to 0.2 Hz, reduces RoCoF, and accelerates frequency recovery compared with single-resource FFR. Results confirm that synergistic coordination significantly enhances grid stability, especially in low-inertia scenarios. This work highlights the value of multi-resource aggregation for future frequency regulation markets in renewable-dominated grids.

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Assessing the Frequency Response Potential of Heavy-Duty Electric Vehicles with Vehicle-to-Grid Integration in the California Power System

The integration of heavy-duty electric vehicles (EVs) with Vehicle-to-Grid (V2G) capability can enhance primary frequency response and improve stability in power systems with high renewable penetration. This study evaluates the technical potential of heavy-duty EV fleets to support the California power grid under three practical charging strategies: immediate charging, delayed charging, and constant-minimum-power charging. We develop a simulation framework that couples aggregated frequency dynamics with battery and charger constraints, state-of-charge management, and fleet-availability profiles. Performance is assessed using standard frequency security metrics, including nadir, rate-of-change-of-frequency, overshoot, and settling time, across credible contingency scenarios and renewable generation conditions. Results indicate that both non-V2G modes and V2G-enabled operation can contribute meaningful primary response, with V2G providing the strongest and fastest support while respecting mobility and network limits. Sensitivity analyses show that the relative benefits depend on charging strategy, control parameters, and renewable output, highlighting design trade-offs between response magnitude, duration, and battery usage. Overall, heavy-duty EV fleets-when coordinated by appropriate charging and V2G controls-offer a viable resource for strengthening primary frequency control on the California grid and mitigating stability challenges associated with increasing renewable penetration.

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Heavy-Duty Electric Vehicles Contribution for Frequency Response in Power Systems with V2G

The integration of heavy-duty electric vehicles (EVs) with Vehicle-to-Grid (V2G) capability offers a promising solution to enhance grid stability by providing primary frequency response in power systems. This paper investigates the potential of heavy-duty EVs to support the California power grid under different charging strategies: immediate, delayed, and constant minimum power charging. Simulation results demonstrate that both V2G-capable EVs and non-V2G modes have great potential to provide primary frequency response, with V2G-capable EVs exhibiting especially strong contributions. The study highlights the influence of charging strategies, control modes, and grid conditions on EV contributions to grid stability, emphasizing their critical role in mitigating the adverse effects of renewable energy penetration.

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