Decentralized Model Predictive Control of DC Microgrids With Constant Power Load

Karami, Zeinab; Shafiee, Qobad; Khayat, Yousef; Yaribeygi, Meysam; Dragičević, Tomislav; Bevrani, Hassan

doi:10.1109/jestpe.2019.2957231

Cited by 73 publications

(29 citation statements)

References 32 publications

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“…However, in order to mitigate the instability caused by CPL, both the output voltage and the output current of the converter are needed. A decentralized model predictive control (DMPC) is proposed to ensure the power sharing and stability of a multiboost converter system supplying the CPL [22]. Supplied by the value of the power of the CPL, the proposed DMPC can correctly regulate the DC bus voltage.…”

Section: Introductionmentioning

confidence: 99%

Stabilization of Constant Power Loads in DC Microgrid Systems Using an Adaptive Continuous Control Set Model Predictive Control

Zhou

Hassan

Zhang³

et al. 2021

Symmetry

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This paper represents an adaptive continuous control set model predictive control (CCS-MPC) to solve the disturbance-caused instability problems in a DC microgrid consisting of symmetrical parallel buck converters, constant voltage loads (CVL), and constant power loads (CPL). The symmetric model of the system is founded at first to describe and analyze the disturbance-caused instability problem. To mitigate the instability by taking the disturbances into consideration, the proposed adaptive controller is made from a double loop feedback controller and a feedforward estimation algorithm. In the voltage loop of the double loop controller, a capacitor dynamic-based voltage controller is developed, while in the current loop, a CCS-MPC algorithm is modified and applied. Meanwhile, a feedforward algorithm is developed to estimate the disturbance information and send it to the double loop controller to improve its robustness, so the composite controller can maintain the bus voltage fixed at its reference and the symmetrical equal current sharing. Finally, comparative MATLAB simulations and OPAL-RT hardware-in-the-loop experiments are conducted to verify the effectiveness and dynamic performance of the proposed algorithm towards other previous nonlinear controllers.

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Section: Introductionmentioning

confidence: 99%

Stabilization of Constant Power Loads in DC Microgrid Systems Using an Adaptive Continuous Control Set Model Predictive Control

Zhou

Hassan

Zhang³

et al. 2021

Symmetry

View full text Add to dashboard Cite

show abstract

“…Decentralized control of microgrids is presented in [21][22][23][24][25][26][27][28][29][30]. In this scheme, the LCs work only with local measurements.…”

Section: Introductionmentioning

confidence: 99%

“…In [25], the primary droop control layer is replaced with a single optimal controller. MPC is used for voltage regulation and proper power sharing.…”

Section: Introductionmentioning

confidence: 99%

Decentralized control of autonomous DC microgrids with composite loads: an approach using optimal control

Vijayaragavan

Umamaheswari

2021

Electr Eng

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This paper presents an optimal decentralized control system for an isolated, networked dc microgrid with multiple sources and composite loads. The key feature of the proposed controller is that it requires only locally measurable states for controlling the local generation while achieving global stability. The controller is designed to minimize a performance index accounting for voltage regulation and branch current regulation with improved dynamics and stability. Decentralized control guarantees high reliability and modularity of the microgrid enabling plug-and-play operations of new units with little modifications. The solution of optimal decentralized control is obtained through constrained parameter optimization technique. The designed controller ensures stability over extended operating conditions of load and droop changes. This leads to a unique robust control law for the dc microgrid that obviates the need for frequent change of controller settings for any change in system parameters. Modal analysis and time-domain simulation of the controlled system substantiate robustness and effectiveness of the proposed decentralized control system in improving the system dynamic performance and optimal set point tracking with a unique controller configuration.

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“…The authors of 24 presented the decentralized backstepping‐based voltage control scheme to obtain proper load sharing and minimum circulating current. In Reference 25, the inner and droop control loops were replaced with a decentralized model predictive controller to guarantee current sharing and DC voltage regulation. Although, these decentralized approaches enhance the reliability and modularity of the system and provide simple implementation by using local variables, the performance of the system depends on how the decentralized approach is designed and applied.…”

Section: Introductionmentioning

confidence: 99%

Fractional order PI control combined with improved frequency droop method for power management in standalone LVDC microgrids

Taher

Arani

et al. 2021

Int Trans Electr Energ Syst

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According to increasing growth of DC loads, DC microgrids (MGs) have an effective role in future power systems. Improvement of power management is one of the important issues in DC MGs. In this paper, in order to provide an accurate power management in standalone low‐voltage DC (LVDC) MG, including photovoltaics (PVs) and battery energy storage systems (BESSs), an AC component is superimposed to the output voltage of DC‐DC converters by inspecting the frequency droop control of the synchronous generators. In addition, two corrective terms based on the calculation of AC active and reactive powers are added to this AC component, which is named improved frequency droop method (IFDM). Different operating modes for PV system comprising maximum power point tracking (MPPT) and voltage control mode (VCM); and BESS consisting of charge, discharge, and idle are considered in the proposed power management scheme based on the state of charge (SoC) of local BESS. On the other hand, the conventional proportional‐integral (PI) controllers in DC‐DC converters' control structure present poor transient dynamic performance and low loading level. Hence, fractional order PI (FOPI) controllers are designed by optimization of integral time absolute error (ITAE) criteria. The effectiveness of the proposed FOPI controllers combined with IFDM scheme is evaluated by simulations conducted in MATLAB/SIMULINK software. The FOPI‐IFDM approach provides accurate current sharing and better voltage regulation without dependence on communication link in comparison with PI‐IFDM under load, line impedance, and solar irradiance variations.

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Decentralized Model Predictive Control of DC Microgrids With Constant Power Load

Cited by 73 publications

References 32 publications

Stabilization of Constant Power Loads in DC Microgrid Systems Using an Adaptive Continuous Control Set Model Predictive Control

Stabilization of Constant Power Loads in DC Microgrid Systems Using an Adaptive Continuous Control Set Model Predictive Control

Decentralized control of autonomous DC microgrids with composite loads: an approach using optimal control

Fractional order PI control combined with improved frequency droop method for power management in standalone LVDC microgrids

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