An MPC-Based Power Management of a PV/Battery System in an Islanded DC Microgrid

Batiyah, Salem; Zohrabi, Nasibeh; Abdelwahed, Sherif; Sharma, Roshan

doi:10.1109/itec.2018.8450155

Cited by 20 publications

(15 citation statements)

References 15 publications

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“…During intra-day frequency regulation optimization, rolling optimization is carried out according to MPC framework to obtain real-time output. MPC can consider future information, so it can solve the problem of short sightedness of model optimization [47]. In the output strategy of this paper, MPC is divided into the following steps: (1)At the current time, t, of receiving frequency regulation signal, based on the current state of energy storage battery, the prediction model is used to predict the frequency regulation signal in [t, t + 1, ..., t + n].…”

Section: Intra-day Optimization Of Frequency Regulation and Peak Shavingmentioning

confidence: 99%

Peak Shaving and Frequency Regulation Coordinated Output Optimization Based on Improving Economy of Energy Storage

et al. 2021

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In this paper, a peak shaving and frequency regulation coordinated output strategy based on the existing energy storage is proposed to improve the economic problem of energy storage development and increase the economic benefits of energy storage in industrial parks. In the proposed strategy, the profit and cost models of peak shaving and frequency regulation are first established. Second, the benefits brought by the output of energy storage, degradation cost and operation and maintenance costs are considered to establish an economic optimization model, which is used to realize the division of peak shaving and frequency regulation capacity of energy storage based on peak shaving and frequency regulation output optimization. Finally, the intra-day model predictive control method is employed for rolling optimization. An intra-day peak shaving and frequency regulation coordinated output optimization strategy of energy storage is proposed. Through the example simulation, the experiment results show that the electricity cost of the whole day is reduced by 10.96% by using the coordinated output strategy of peak shaving and frequency regulation. The obtained further comparative analysis results and the life cycle economic analysis show that the profit brought by the proposed coordinated output optimization strategy is greater than that for separate peak shaving or frequency modulation of energy storage under the same capacity.

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Section: Intra-day Optimization Of Frequency Regulation and Peak Shavingmentioning

confidence: 99%

Peak Shaving and Frequency Regulation Coordinated Output Optimization Based on Improving Economy of Energy Storage

et al. 2021

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“…The MPC is presented as a reliable, solid, and valid solution to counteract the uncertainties found in microgrids if a predictor for these disturbances is available and integrated into the MPC structure. This methodology has been used successfully in electrical power systems [30,31].…”

Section: Model-based Predictive Control (Mpc)mentioning

confidence: 99%

Optimal Management of a Microgrid with Radiation and Wind-Speed Forecasting: A Case Study Applied to a Bioclimatic Building

et al. 2021

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An Energy Management System (EMS) that uses a Model Predictive Control (MPC) to manage the flow of the microgrids is described in this work. The EMS integrates both wind speed and solar radiation predictors by using a time series to perform the primary grid forecasts. At each sampling data measurement, the power of the photovoltaic system and wind turbine are predicted. Then, the MPC algorithm uses those predictions to obtain the optimal power flows of the microgrid elements and the main network. In this work, three time-series predictors are analyzed. As the results will show, the MPC strategy becomes a powerful energy management tool when it is integrated with the Double Exponential Smoothing (DES) predictor. This new scheme of integrating the DES method with an MPC presents a good management response in real-time and overcomes the results provided by the Optimal Power Flow method, which was previously proposed in the literature. For the case studies, the test microgrid located in the CIESOL bioclimatic building of the University of Almeria (Spain) is used.

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“…The second type is the shunt fault (short circuit fault) which occurs when two or more phases come into contact to the ground or to each other. According to [20] [22], 75% -80% of failures in the power network of the power circuit are either a line-to-ground short circuit fault or transient fault. Single line-to-ground faults are the most occurring type of fault in power systems.…”

Section: Common Types Of Power Failuresmentioning

confidence: 99%

“…Also, it is important to acknowledge that lack of equipment maintenance and undesired weather such as high speed wind could cause fires, damages in systems' components, and they put the systems stability and human safety under threat. For example, a failure of a single PV cell can se-verely affect the output of a whole string which may lead to fire or power losses of the PV module[22] [35] [36]. Additionally, weather fluctuation affects the operation of PVs which increase the level of danger in the system…”

mentioning

confidence: 99%

Review of Fault Types, Impacts, and Management Solutions in Smart Grid Systems

Mousa¹,

Abdelwahed²,

Klüss³

2019

SGRE

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Fault management study in smart grid systems (SGSs) is important to ensure the stability of the system. Also, it is important to know the major types of power failures for the effective operation of the SGS. This paper reviews diverse types of faults that might appear in the SGS and gives a survey about the impact of renewable energy resources (RERs) on the behavior of the system. Moreover, this paper offers different fault detection and localization techniques that can be used for SGSs. Furthermore, a potential fault management case study is proposed in this paper. The SGS model in this paper is investigated using both of the Matlab/Simulink and the Real Time Digital Simulation (RTDS) to compute the fault management study. Simulation results show the fast response to a power failure in the system which improves the stability of the SGS.

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An MPC-Based Power Management of a PV/Battery System in an Islanded DC Microgrid

Cited by 20 publications

References 15 publications

Peak Shaving and Frequency Regulation Coordinated Output Optimization Based on Improving Economy of Energy Storage

Peak Shaving and Frequency Regulation Coordinated Output Optimization Based on Improving Economy of Energy Storage

Optimal Management of a Microgrid with Radiation and Wind-Speed Forecasting: A Case Study Applied to a Bioclimatic Building

Review of Fault Types, Impacts, and Management Solutions in Smart Grid Systems

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