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Hongyang Qing

Publications and source records attributed to Hongyang Qing.

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Decentralized Analysis Approach for Oscillation Damping in Grid-Forming and Grid-Following Heterogeneous Power Systems

This letter proposes a decentralized local gain condition (LGC) to guarantee oscillation damping in inverter-based resource (IBR)-dominated power systems. The LGC constrains the dynamic gain between each IBR and the network at its point of connection. By satisfying the LGC locally, the closed-loop poles are confined to a desired region, thereby yielding system-wide oscillation damping without requiring global information. Notably, the LGC is agnostic to different IBR dynamics, well-suited for systems with heterogeneous IBRs, and flexible to various damping requirements. Moreover, a low-complexity algorithm is proposed to parameterize LGC, providing scalable and damping-constrained parameter tuning guidance for IBRs.

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Aggregating Inverter-Based Resources for Fast Frequency Response: A Nash Bargaining Game-Based Approach

This paper proposes a multi-objective optimization (MOO) approach for grid-level frequency regulation by aggregating inverter-based resources (IBRs). Virtual power plants (VPPs), acting as aggregators, can efficiently respond to dynamic response requirements from the grid. Through parametric modeling, grid-level frequency regulation requirements are accurately quantified and translated into a feasible parameter region defined by device-level parameters. Based on this feasible region, an MOO model is developed to address the conflicting demands of IBRs during frequency response. A Nash bargaining game-based approach is then employed to optimally allocate regulation requirements within the VPP, balancing the various demands of the IBRs. Numerical experiments demonstrate the effectiveness of the proposed method in enhancing frequency stability and improving coordination among IBRs.

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Dynamic Virtual Power Plants with Robust Frequency Regulation Capability

The rapid integration of inverter-based resources (IBRs) into power systems has identified frequency security challenges due to reduced inertia and increased load volatility. This paper proposes a robust power reserve decision-making approach for dynamic virtual power plants (DVPPs) to address these challenges, especially under temporally sequential and uncertain disturbances. An analytical model is developed to characterize the system's frequency response dynamics, enabling the quantification of virtual inertia and virtual damping requirements to meet rate-of-change-of-frequency (RoCoF), frequency nadir, and steady-state deviation constraints. By analytically deriving the regulation power dynamics, the required virtual inertia and damping parameters for the DVPP are determined in a robust way. Then, the total power reserve decision is made by optimally allocating the parameters and calculating the actual power reserves for IBRs, fully considering their economic diversity. Finally, case studies conducted on an IEEE nine-bus system demonstrate the effectiveness of the proposed approach. The results indicate the high reliability of the proposed approach in ensuring frequency security.

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