Stabilization of MT-HVDC grids via passivity-based control and convex optimization

Montoya, Oscar Danilo; Gil-González, Walter; Garcés, Alejandro; Serra, Federico M.; Hernández, Jesús C.

doi:10.1016/j.epsr.2021.107273

Cited by 8 publications

(16 citation statements)

References 33 publications

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“…Additionally, the impact of the droop resistance under primary control was analyzed using conventional PI controllers. In [21], the optimal operation and stabilization of MT-HVDC systems were proposed via passivity-based control and convex optimization. Other controllers have been proposed, such as the power-sharing controls [22,23], feedback nonlinear control based on the Lyapunov theory [24], predictive fuzzy control model [25], Kalman filter control [26], model predictive control [27].…”

Section: Review Of the State-of-the-artmentioning

confidence: 99%

“…To obtain an equivalent dynamic model for the whole MT-HVDC system Equation ( 1) is compacted with its matrix equivalent by assuming that the system has been reduced only to s nodes that include power electronic converters [21]; which generates the following general dynamic grid model.…”

Section: Mt-hvdc Modelingmentioning

confidence: 99%

“…which corresponds to a set of nonlinear algebraic equations known in the specialized literature as the power flow problem [21]. An important fact of this set of equations, is that its solution will provide the equilibrium point where the dynamic model ( 6) must be stabilized.…”

Section: Mt-hvdc Modelingmentioning

confidence: 99%

“…This system is operated with 400 kV, and we assume that the slack source is located at node 1. In addition, the parametric information of the overhead lines and the cables can be consulted in [21]; and the information of the constant power generation and loads is listed in Table 1.…”

Section: Mt-hvdc System Under Analysis and Simulation Casesmentioning

confidence: 99%

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Global Optimal Stabilization of MT-HVDC Systems: Inverse Optimal Control Approach

et al. 2021

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The stabilization problem of multi-terminal high-voltage direct current (MT-HVDC) systems feeding constant power loads is addressed in this paper using an inverse optimal control (IOC). A hierarchical control structure using a convex optimization model in the secondary control stage and the IOC in the primary control stage is proposed to determine the set of references that allows the stabilization of the network under load variations. The main advantage of the IOC is that this control method ensures the closed-loop stability of the whole MT-HVDC system using a control Lyapunov function to determine the optimal control law. Numerical results in a reduced version of the CIGRE MT-HVDC system show the effectiveness of the IOC to stabilize the system under large disturbance scenarios, such as short-circuit events and topology changes. All the simulations are carried out in the MATLAB/Simulink environment.

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Section: Review Of the State-of-the-artmentioning

confidence: 99%

Section: Mt-hvdc Modelingmentioning

confidence: 99%

Section: Mt-hvdc Modelingmentioning

confidence: 99%

Section: Mt-hvdc System Under Analysis and Simulation Casesmentioning

confidence: 99%

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Global Optimal Stabilization of MT-HVDC Systems: Inverse Optimal Control Approach

et al. 2021

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“…This implies the need for a primary controller for each power converter and a secondary controller to manage the system energy [9,10]. Depending on the size and utility of the MG, other levels of controller may be necessary, such as demand side management, achieving total control, and improving the efficiency of the entire system [11,12]. Generally, the aim of a MG primary controller is to keep the voltage, current, or power within a reference value fixed by the secondary controller, both working as a global controller while rejecting system disturbances, such as load changes or variations, on PV array conditions.…”

Section: Introductionmentioning

confidence: 99%

Voltage Regulation of an Isolated DC Microgrid with a Constant Power Load: A Passivity-based Control Design

et al. 2021

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Passivity-based nonlinear control for an isolated microgrid system is proposed in this paper. The microgrid consists of a photovoltaic array and a battery energy storage connected to a point of common converters, supplying a constant power load. The purpose of this control strategy is to maintain the output direct current voltage in its reference value under load variations, improving battery interaction. The system is represented by its state space averaged model and the proposed controller is designed using the interconnection and damping assignment strategy, which allows obtaining controller parameters while ensuring the closed-loop system stability. The unknown constant power load is estimated using an observer based on the energy function of the system. The behavior of the proposed control strategy is validated with simulation and experimental results.

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Port-Hamiltonian framework in power systems domain: A survey

Tõnso,

Kaparin,

Belikov

2023

Energy Reports

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Stabilization of MT-HVDC grids via passivity-based control and convex optimization

Cited by 8 publications

References 33 publications

Global Optimal Stabilization of MT-HVDC Systems: Inverse Optimal Control Approach

Global Optimal Stabilization of MT-HVDC Systems: Inverse Optimal Control Approach

Voltage Regulation of an Isolated DC Microgrid with a Constant Power Load: A Passivity-based Control Design

Port-Hamiltonian framework in power systems domain: A survey

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