Model Predictive Control based AGC for multi-terminal DC grids

Namara, Paul Mc; Ortega, Álvaro; Milano, Federico

doi:10.1109/pesgm.2016.7741354

Cited by 4 publications

(10 citation statements)

References 12 publications

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“…For boost operation, inductor current i L (k), DC bus voltage V dc0 , and battery voltage V BAT (k) are delivered to the prediction block. Equation 16 generates a 2-dimensional array V dc0 (k + 1) that is sent to the optimization block. It contains 2 predicted values of DC bus voltage for the next sampling interval t k + 1 = t k + T s subject to switching states.…”

Section: Bidirectional Convertermentioning

confidence: 99%

“…In Ref [], MPC is used to bridge the power gap by optimizing power flow among distributed generations, ESS, and consumer. Also, MPC is proposed for including DC power controllers in the provision of automatic generation control of a multiterminal DC grid . This paper presents another perspective on predictive control in network level by proposing a test stand‐alone network and applying MPC to its power management, generation, and load consumption stages.…”

Section: Introductionmentioning

confidence: 99%

“…Also, MPC is proposed for including DC power controllers in the provision of automatic generation control of a multiterminal DC grid. 16 This paper presents another perspective on predictive control in network level by proposing a test stand-alone network and applying MPC to its power management, generation, and load consumption stages. To perform this investigation, separate MPC-integrated controlling diagrams are designed for every converter in each stage.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Investigation of model predictive control for converter-based stand-alone DC distribution networks fed by PV units

Pirooz

Noroozian

Rodríguez

2017

Int Trans Electr Energ Syst

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Summary This paper applies model predictive control to converters of a stand‐alone direct current (DC) distribution network. The proposed network is similar to a real stand‐alone network and includes essential components from generation to consumption. The network uses photovoltaic (PV) units as sources of electrical energy. Each PV unit is connected to the DC network via a DC‐DC boost converter. Both alternating current and DC load types are included and fed through 3‐phase inverters and a DC‐DC buck converter, respectively. As the network operates in stand‐alone mode, an energy storage system is considered. The energy storage system is consisted of a battery bank and a bidirectional DC‐DC converter to regulate and control both the network's voltage level and the operation of PV units. Model predictive control‐integrated diagrams have been designed separately for each converter. It is expected to have continuous power flow from PV units to loads during daytime and nighttime and a regulated voltage level for the network controlled by energy storage system. Simulations done by PSCAD/MATLAB interfacing are used to demonstrate how power flows through the network and is consumed by loads or stored in batteries. The feasibility of model predictive control to control converters for this application is concluded through comparison of results with classic controllers' performance under equal conditions.

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Section: Bidirectional Convertermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Investigation of model predictive control for converter-based stand-alone DC distribution networks fed by PV units

Pirooz

Noroozian

Rodríguez

2017

Int Trans Electr Energ Syst

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“…Due to space constraints many details of the VSC are omitted here. The VSC models used in this paper were previously described in [2], [8].…”

Section: Modellingmentioning

confidence: 99%

“…As it is a MIMO technique, it can take full advantage of system models, and it can explicitly consider delays and system constraints. It has been shown previously that there is the potential for an improvement in overall system performance in terms of frequency regulation if MPC approaches are used versus PI controllers for AGC [7], [8].…”

Section: Introductionmentioning

confidence: 99%

MPC based AGC for AC/DC grids with delays and voltage constraints

Namara

Milano

2017

2017 IEEE Power &Amp; Energy Society General Meeting

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Overview of Frequency-Control Technologies for a VSC-HVDC-Integrated Wind Farm

Lin

2021

IEEE Access

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In modern power systems, the increasing penetration of renewable energy resources has reduced the overall system inertia. However, the intermittent nature of wind power generation reduces frequency stability, which is a crucial issue. Consequently, modern power systems require that renewable energy sources, such as offshore wind farms, support the frequency regulation. High voltage direct current (HVDC) systems based on voltage source converters (VSCs) are currently being used to connect wind farms with the main grid. By adjusting the DC-link voltage of the VSC-HVDC, a capacitor can absorb or release energy to provide frequency support. In addition, the VSC-HVDC system can coordinate wind farms to support frequency regulation and thereby achieve better performance. Thus, this paper reviews and compares various frequency-control strategies for a VSC-HVDC-connected wind farm. This work implements in PSCAD/EMTDC a simulation of typical frequency-control techniques to verify their effectiveness and robustness. Furthermore, this paper shows the advantages and drawbacks of each frequency regulation method. Other auxiliary services for supporting frequency regulation, such as by energy storage systems, are also discussed. Finally, this paper provides complete recommendations for frequency regulation techniques for VSC-HVDC-integrated wind farms.

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Model Predictive Control based AGC for multi-terminal DC grids

Cited by 4 publications

References 12 publications

Investigation of model predictive control for converter-based stand-alone DC distribution networks fed by PV units

Investigation of model predictive control for converter-based stand-alone DC distribution networks fed by PV units

MPC based AGC for AC/DC grids with delays and voltage constraints

Overview of Frequency-Control Technologies for a VSC-HVDC-Integrated Wind Farm

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