Abstract
In this paper, an online model-free method is proposed to estimate the dynamic model of a power system with distributed renewable energy sources (RES). The proposed method, requiring no knowledge of network topology and model parameters, is computationally efficient and can be implemented online. The impact of missing PMUs is evaluated in detail, which shows that most entries of the dynamic model can still be well estimated in the case of missing PMUs. Simulation studies in the modified IEEE 68-bus system demonstrate that the proposed method can provide accurate estimation of the dynamic model in different operating conditions. The method can help detect topology change even when some PMUs are lost.
Highlights
The increasing penetration of renewable energy sources (RES) has brought significant complexity to the operation of power systems due to the variability of RES
Since the connection point of RES greatly affect the system dynamics [3], it is of great significance to acquire an accurate dynamic model for power systems with distributed RES, which can be used to evaluate the influence of RES on system dynamics, to analyze system oscillations and to identify topology change
In this paper, we have proposed a purely measurement-based method to estimate the dynamic system model of a power system with distributed RES, which requires no information of network topology and model parameters
Summary
The increasing penetration of renewable energy sources (RES) has brought significant complexity to the operation of power systems due to the variability of RES (e.g., wind speed and solar irradiation). The integration of distributed RES, on the other hand, requires additional model formulation and mathematical manipulation to accurately quantify the impacts of RES on the generator dynamics For this purpose, in this paper, we intend to develop a model-free method to estimate the dynamic system model of a power system with distributed RES working in ambient conditions. WAMS-BASED ESTIMATION OF DYNAMIC SYSTEM MATRICES Before illustrating the estimation strategy, we make the following assumptions: 1) All generator buses are equipped with PMUs, which is expected to be feasible in the near future given the rapid development of PMU technologies worldwide [17]; 2) State variables in ambient conditions can be obtained from PMU measurements using, for example, methods proposed in [18], [19]
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