Energy management system for PV-battery microgrid based on model predictive control

Khan, M. Reyasudin Basir; Pasupuleti, Jagadeesh; Al-Fattah, Jabbar; Tahmasebi, Mehrdad

doi:10.11591/ijeecs.v15.i1.pp20-26

Cited by 25 publications

(14 citation statements)

References 18 publications

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“…i.e., any solution ofẋ = g(t, x), x(0) = 0 reaches the origin at the fixed settling-time T verifying (14). Theorem 1 If the control law u i is designed as in (10), (8) and (7), the reference x 0 is reached in the pre-fixed settling-time T settling verifying…”

Section: The Proposed Voltage and Frequency Control Protocolmentioning

confidence: 96%

“…Two main approaches were suggested for microgrids control: centralized and distributed control. Centralized control has been extensively used in literature for both AC and DC microgrids control [3][4][5][6][7][8][9][10][11][12][13] including secondary control [3][4][5] and power management [6][7][8] among others [9][10][11][12][13]. Distributed control is a modern control approach developed as a natural solution for the naturally distributed systems as a more reliable control strategy, since the control is geographically distributed along with the system.…”

Section: Introductionmentioning

confidence: 99%

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Fixed-time observer-based distributed secondary voltage and frequency control of islanded AC microgrids

Ghazzali

Haloua

Giri

2020

IJECE

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This paper deals with the problem of voltage and frequency control of distributed generators (DGs) in AC islanded microgrids. The main motivation of this work is to obviate the shortcomings of conventional centralized and distributed control of micro-grids by providing a better alternative control strategy with better control performance than state-of-the art approaches. A distributed secondary control protocol based on a novel fixed-time observer-based feedback control method is designed for fixed-time frequency and voltage reference tracking and disturbance rejection. Compared to the existing secondary microgrid controllers, the proposed control strategy ensures frequency and voltage reference tracking and disturbance rejection before the desired fixed-time despite the microgrid initial conditions, parameters uncertainties and the unknown disturbances. Also, the controllers design and tuning is simple, straightfor-ward and model-free.i.e, the knowledge of the microgrid parameters, topology, loads or transmission lines impedance are not needed in the design procedure. The use of distributed control approach enhances the reliability of the system by making the control system geographically distributed along with the power sources, by using the neighboring DGs informations instead of the DG’s local informations only and by cooperatively rejecting external disturbances and maintaining the frequency and the voltage at their reference values at any point of the microgrid. The efficiency of the proposed approach is verified by comparing its performance in reference tracking and its robustness to load power variations to some of the works in literature that addressed distributed secondary voltage and frequency control.

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Section: The Proposed Voltage and Frequency Control Protocolmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

Fixed-time observer-based distributed secondary voltage and frequency control of islanded AC microgrids

Ghazzali

Haloua

Giri

2020

IJECE

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“…PV-BES can also include hybrid options with wind [34] or with diesel generators to reduce fuel consumption [35,36]. However, the declining costs of both PV and batteries due to the recent development has raised interest in the optimization of BES capacity for a grid-connected PV system [37][38][39] and has created high expectations that PV-BES can be dispatched in the market [40][41][42][43] or lead to an autonomous micro-grids [44] to provide dispatchable and reliable capacity [45]. However, this issue of falling PV prices increasingly questions the competitivity of CSP in the electricity mix, which for a long time has been considered to be the first-choice technology for solar power expansion, particularly in the MENA region [46,47].…”

Section: Introductionmentioning

confidence: 99%

Utility-Scale PV-Battery versus CSP-Thermal Storage in Morocco: Storage and Cost Effect under Penetration Scenarios

2021

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In this study, we examine how Battery Storage (BES) and Thermal Storage (TES) combined with solar Photovoltaic (PV) and Concentrated Solar Power (CSP) technologies with an increased storage duration and rental cost together with diversification would influence the Moroccan mix and to what extent the variability (i.e., adequacy risk) can be reduced; this is done using recent (2013) cost data and under various penetration scenarios. To do this, we use MERRA-2 climate reanalysis to simulate hourly demand and capacity factors (CFs) of wind, solar PV and CSP without and with increasing storage capabilities—as defined by the CSP Solar Multiple (SM) and PV Inverter Loading Ratio (ILR). We adjust these time series to observations for the four Moroccan electrical zones over the year 2018. Our objective is to maximize the renewable (RE) penetration and minimize the imbalances between RE production and consumption considering three optimization strategies. We analyze mixes along Pareto fronts using the Mean-Variance Portfolio approach—implemented in the E4CLIM model—in which we add a maximum-cost constraint to take into account the different rental costs of wind, PV and CSP. We propose a method to calculate the rental cost of storage and production technologies taking into account the constraints on storage associated with the increase of SM and ILR in the added PV-BES and CSP-TES modules, keeping the mean solar CFs fixed. We perform some load bands-reduction diagnostics to assess the reliability benefits provided by each RE technology. We find that, at low penetrations, the maximum-cost budget is not reached because a small capacity is needed. The higher the ILR for PV, the larger the share of PV in the mix compared to wind and CSP without storage is removed completely. Between PV-BES and CSP-TES, the latter is preferred as it has larger storage capacity and thus stronger impact in reducing the adequacy risk. As additional BES are installed, more than TES, PV-BES is favored. At high penetrations, optimal mixes are impacted by cost, the more so as CSP (resp., PV) with high SM (resp., ILR) are installed. Wind is preferably installed due to its high mean CF compared to cost, followed by either PV-BES or CSP/CSP-TES. Scenarios without or with medium storage capacity favor CSP/CSP-TES, while high storage duration scenarios are dominated by low-cost PV-BES. However, scenarios ignoring the storage cost and constraints provide more weight to PV-BES whatever the penetration level. We also show that significant reduction of RE variability can only be achieved through geographical diversification. Technological complementarity may only help to reduce the variance when PV and CSP are both installed without or with a small amount of storage. However, the diversification effect is slightly smaller when the SM and ILR are increased and the covariances are reduced as well since mixes become less diversified.

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“…The information of the availability of the global solar radiation holds a significant role in building efficient design and operation on PV energy systems [6]. The amount of daily average global solar radiation has been widely applied for various studies which includes investigating the feasibility of solar power plant [7] optimal sizing of the energy storage systems [8], [9] determination of the optimal tilt angle [10]- [12], and designing energy management system [13]. However, the data of measured solar radiation is limitedly available.…”

Section: Introductionmentioning

confidence: 99%

An evaluation of the artificial neural network based on the estimation of daily average global solar radiation in the city of Surabaya

Kurniawan

Harumwidiah

2021

IJEECS

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The estimation of the daily average global solar radiation is important since it increases the cost efficiency of solar power plant, especially in developing countries. Therefore, this study aims at developing a multi layer perceptron artificial neural network (ANN) to estimate the solar radiation in the city of Surabaya. To guide the study, seven (7) available meteorological parameters and the number of the month was applied as the input of network. The ANN was trained using five-years data of 2011-2015. Furthermore, the model was validated by calculating the mean average percentage error (MAPE) of the estimation for the years of 2016-2019. The results confirm that the aforementioned model is feasible to generate the estimation of daily average global solar radiation in Surabaya, indicated by MAPE of less than 15% for all testing years.

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Energy management system for PV-battery microgrid based on model predictive control

Cited by 25 publications

References 18 publications

Fixed-time observer-based distributed secondary voltage and frequency control of islanded AC microgrids

Fixed-time observer-based distributed secondary voltage and frequency control of islanded AC microgrids

Utility-Scale PV-Battery versus CSP-Thermal Storage in Morocco: Storage and Cost Effect under Penetration Scenarios

An evaluation of the artificial neural network based on the estimation of daily average global solar radiation in the city of Surabaya

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