Optimal model predictive control of photovoltaic plants for frequency regulation in an interconnected power system

Oshnoei, Arman; Kheradmandi, Morteza; Oshnoei, Siavash

doi:10.1109/psc49016.2019.9081512

Cited by 4 publications

(4 citation statements)

References 24 publications

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“…Table 6 summarizes the SMES coil states and voltages with the converter switching patterns. The corresponding equation in the time-domain of the SMES coil during the ON and OFF state can be expressed as in ( 12), while (13) shows the prediction model of the SMES coil current after applying the Euler discretization theory.…”

Section: Dc-dc Choppermentioning

confidence: 99%

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Integration of PV system with SMES based on model predictive control for utility grid reliability improvement

Bakeer

Salama

Vokony

2021

Prot Control Mod Power Syst

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This paper describes the integration of a photovoltaic (PV) renewable energy source with a superconducting magnetic energy storage (SMES) system. The integrated system can improve the voltage stability of the utility grid and achieve power leveling. The control schemes employ model predictive control (MPC), which has gained significant attention in recent years because of its advantages such as fast response and simple implementation. The PV system provides maximum power at various irradiation levels using the incremental conductance technique (INC). The interfaced grid side converter of the SMES can control the grid voltage by regulating its injected reactive power to the grid, while the charge and discharge operation of the SMES coil can be managed by the system operator to inject/absorb active power to/from the grid to achieve the power leveling strategy. Simulation results based on MATLAB/Simulink® software prove the fast response of the system control objectives in tracking the setpoints at different loading scenarios and PV irradiance levels, while the SMES injects/absorbs active and reactive power to/from the grid during various events to improve the voltage response and achieve power leveling strategy.

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Section: Dc-dc Choppermentioning

confidence: 99%

“…A PV system has been used to contribute to load frequency control (LFC) by utilizing MPC [13]. A hybrid SMES and PV power system is introduced in [14], using a current source inverter.…”

Section: Introductionmentioning

confidence: 99%

Integration of PV system with SMES based on model predictive control for utility grid reliability improvement

Bakeer

Salama

Vokony

2021

Prot Control Mod Power Syst

View full text Add to dashboard Cite

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“…In this regard, investigations related to the importance of the MG secondary controller have been conducted. The integer order controllers (IOCs), such as integral (I) [12,14,17,[19][20][21], proportional-integral (PI) [11,16,22], proportionalintegral-derivative (PID) [13], model predictive control (MPC) [23][24][25], and fractional order controllers (FOCs) [26,27], have been utilized in the literature to improve the performance of the MG secondary frequency control.…”

Section: Introductionmentioning

confidence: 99%

Provision of Frequency Stability of an Islanded Microgrid Using a Novel Virtual Inertia Control and a Fractional Order Cascade Controller

et al. 2021

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Nowadays, the renewable energy sources in microgrids (MGs) have high participation to supply the consumer’s demand. In such MGs, the problems such as the system frequency stability, inertia, and damping reduction are threatened. To overcome this challenge, employing the virtual inertia control (VIC) concept in the MG structure could be considered as a viable solution to improve the system frequency response. Hence, this work proposes a novel modeling for VIC in an islanded MG that provides simultaneous emulation of the primary frequency control, virtual inertia, and damping. To show the efficiency of the proposed technique, a comparison is made between the dynamic performance of the proposed VIC and conventional VIC under different scenarios. The results indicate that the proposed VIC presents superior frequency performance in comparison with conventional VIC. In addition to VIC modeling, a new cascade controller based on three-degrees of freedom and fractional-order controllers (FOCs) is proposed as an MG secondary controller. The effectiveness of the proposed controller is compared to tilt-integral-derivative and FO proportional-integral-derivative controllers. The Squirrel search algorithm is utilized to obtain the optimal coefficients of the controllers. The results demonstrate that the proposed controller improves the MG frequency performance over other controllers. Eventually, the sensitivity analysis is performed to investigate the robustness of the proposed controller in the face of the variations of the parameters.

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“…The frequency control scheme is a practical integration of inertial control and kinetic energy in rotational elements [32]. Furthermore, photovoltaic (PV) panels have been widely used in the frequency improvement scheme of hybrid MGs, with the help of their inverter-based structures [33][34][35]. However, the optimal contribution of PV array, along with other DERs, has not been studied in order to improve the frequency excursion of islanded MGs during emergency conditions.…”

Section: Introductionmentioning

confidence: 99%

Optimal Distribution Coefficients of Energy Resources in Frequency Stability of Hybrid Microgrids Connected to the Power System

et al. 2021

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The continuous stability of hybrid microgrids (MGs) has been recently proposed as a critical topic, due to the ever-increasing growth of renewable energy sources (RESs) in low-inertia power systems. However, the stochastic and intermittent nature of RESs poses serious challenges for the stability and frequency regulation of MGs. In this regard, frequency control ancillary services (FCAS) can be introduced to alleviate the transient effects during substantial variations in the operating point and the separation from main power grids. In this paper, an efficient scheme is introduced to create a coordination among distributed energy resources (DERs), including combined heat and power, diesel engine generator, wind turbine generators, and photovoltaic panels. In this scheme, the frequency regulation signal is assigned to DERs based on several distribution coefficients, which are calculated through conducting a multi-objective optimization problem in the MATLAB environment. A meta-heuristic approach, known as the artificial bee colony algorithm, is deployed to determine optimal solutions. To prove the efficiency of the proposed scheme, the design is implemented on a hybrid MG. Various operational conditions which render the system prone to experience frequency fluctuation, including switching operation, load disturbance, and reduction in the total inertia of hybrid microgrids, are studied in PSCAD software. Simulation results demonstrate that this optimal control scheme can yield a more satisfactory performance in the presence of grid-following and grid-forming resources during different operational conditions.

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Optimal model predictive control of photovoltaic plants for frequency regulation in an interconnected power system

Cited by 4 publications

References 24 publications

Integration of PV system with SMES based on model predictive control for utility grid reliability improvement

Integration of PV system with SMES based on model predictive control for utility grid reliability improvement

Provision of Frequency Stability of an Islanded Microgrid Using a Novel Virtual Inertia Control and a Fractional Order Cascade Controller

Optimal Distribution Coefficients of Energy Resources in Frequency Stability of Hybrid Microgrids Connected to the Power System

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