Analyzing the Impacts of System Parameters on MPC-Based Frequency Control for a Stand-Alone Microgrid

Nguyen, Thai-Thanh; Yoo, Hyeong-Jun; Kim, Hak-Man

doi:10.3390/en10040417

Cited by 26 publications

(24 citation statements)

References 26 publications

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“…Recently, MPC has been extended to solve the optimal load frequency control (LFC) problems of power systems [12][13][14][15][16] and operation optimization issues of microgrids [17][18][19][20]. Especially, it should be noted that there are some existing works regarding MPC-based frequency control of microgrids [12,[19][20][21][22][23]. Reference [12] developed a MPC-based coordinated load frequency control method for a microgrid under the condition regarding varied number of electric vehicles.…”

Section: Introductionmentioning

confidence: 99%

Fractional-Order Model Predictive Frequency Control of an Islanded Microgrid

et al. 2018

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Optimal frequency control of an islanded microgrid has been a challenging issue in the research field of microgrids. Recently, fractional-order calculus theory and some related control methods have attempted to handle this issue. In this paper, a novel fractional-order model predictive control (FOMPC) method is proposed to achieve the optimal frequency control of an islanded microgrid by introducing a fractional-order integral cost function into model predictive control (MPC) algorithm. Firstly, a discrete state-space model is derived for the optimal frequency control problem of an islanded microgrid. Afterward, a fractional-order integral cost function is designed to guide the FOMPC algorithm to obtain optimal control law by borrowing the Grünwald-Letnikov (GL) definition of fractional order calculus. Six simulation studies have been carried out to illustrate the superiority of FOMPC to conventional MPC under dynamical load disturbances, perturbed system parameters and random dynamical power fluctuation of wind turbines.

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Section: Introductionmentioning

confidence: 99%

Fractional-Order Model Predictive Frequency Control of an Islanded Microgrid

et al. 2018

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“…After each time step the forecast model will use the actual data for this step and the forecast error to recalculate and update the forecast model. The MPC algorithm shows that the controller performance mainly depends on the accuracy of the prediction model [27,28]. As previously mentioned, the forecast data has been generated in this research by extending a prediction model developed in [5].…”

Section: Model Predictive Control (Mpc) Controllermentioning

confidence: 99%

Optimal Energy Management and MPC Strategies for Electrified RTG Cranes with Energy Storage Systems

et al. 2017

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This article presents a study of optimal control strategies for an energy storage system connected to a network of electrified Rubber Tyre Gantry (RTG) cranes. The study aims to design optimal control strategies for the power flows associated with the energy storage device, considering the highly volatile nature of RTG crane demand and difficulties in prediction. Deterministic optimal energy management controller and a Model Predictive Controller (MPC) are proposed as potentially suitable approaches to minimise the electric energy costs associated with the real-time electricity price and maximise the peak demand reduction, under given energy storage system parameters and network specifications. A specific case study is presented in to test the proposed optimal strategies and compares them to a set-point controller. The proposed models used in the study are validated using data collected from an instrumented RTG crane at the Port of Felixstowe, UK and are compared to a standard set-point controller. The results of the proposed control strategies show a significant reduction in the potential electricity costs and peak power demand from the RTG cranes.

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“…In [17,29], the authors estimate the output power of the wind turbine taking into account the tip speed ratio and the blade angle of the turbine rotor. In this work, the wind turbine is considered with fixed blades, and therefore the power coefficient is considered to vary with the tip speed ratio.…”

Section: Modelling Of the Wind Turbinementioning

confidence: 99%

Optimal Power Dispatch of Small-Scale Standalone Microgrid Located in Colombian Territory

2018

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An optimal power dispatch of a small-scale standalone microgrid for remote area power supply in Colombian territory is proposed in this paper. The power dispatch is generated by an energy management system based on a mixed-integer linear programming, which minimizes the cost of operating the microgrid while fulfilling the technical constraints of its elements. The energy management system solves an optimization problem using the algebraic representation of the generators and its constraints. Basic steady-state models of the generators are selected to solve the optimization problem. The small-scale microgrid is considered for a remote area power supply in Taroa, a small settlement in La Guajira, Colombia. The microgrid is composed of photovoltaic modules, a wind generator, a diesel generator, a battery bank, and residential loads. To validate the solution, the elements of the microgrids are parameterized with information from commercial equipment. Moreover, the power dispatch obtained with the proposed solution is compared with a power dispatch generated by a heuristic algorithm, which has been previously used to dispatch power in a small-scale standalone microgrid. Results show that the cost of operating the microgrid is minimized using the proposed optimization approach: a reduction of the operating cost equal to 25.5% of the cost imposed by the heuristic algorithm is obtained.

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Analyzing the Impacts of System Parameters on MPC-Based Frequency Control for a Stand-Alone Microgrid

Cited by 26 publications

References 26 publications

Fractional-Order Model Predictive Frequency Control of an Islanded Microgrid

Fractional-Order Model Predictive Frequency Control of an Islanded Microgrid

Optimal Energy Management and MPC Strategies for Electrified RTG Cranes with Energy Storage Systems

Optimal Power Dispatch of Small-Scale Standalone Microgrid Located in Colombian Territory

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