Probabilistic Modeling and Equilibrium Optimizer Solving for Energy Management of Renewable Micro-Grids Incorporating Storage Devices

Elsayed, Salah K.; Otaibi, Sattam Al; Ahmed, Yasser M.; Hendawi, Essam; Elkalashy, Nagy I.; Hoballah, Ayman

doi:10.3390/en14051373

Cited by 12 publications

(5 citation statements)

References 39 publications

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“…The 2m + 1 variant needs one more evaluation on the means of all the m input random variables. This variant is used in [45] to estimate uncertainties in renewable output, load and market prices.…”

Section: Point Estimate Methodsmentioning

confidence: 99%

“…Swarm-Based Algorithm [85] Ant lion algorithm [34] Competitive swarm optimization [38,123] Crow search algorithm [64] Cultural PSO co-evolutionary [18] Dragonfly algorithm [24,132] Firefly algorithm-modified [164] Flower pollination algorithm [28] Grasshopper optimization algorithm [141] Group search optimization [45] Imperialist competitive algorithm [16,49,62,105,[111][112][113]122,150,155,175] PSO [25,68,94,139] PSO-modified…”

Section: Referencementioning

confidence: 99%

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Optimization Models under Uncertainty in Distributed Generation Systems: A Review

et al. 2022

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Distributed generation systems (DGSs) are one of the key developments enabling the energy transition. DGSs provide users with increased control over their energy use and generation, but entail greater complexity in their design and operation. Traditionally, optimization models have been used to overcome this complexity, and currently, research is focusing on integrating uncertainties on them. This review attempts to analyze, classify and discuss 170 articles dealing with optimization of DGSs under uncertainty. A survey has been performed to identify the selected manuscripts and the strengths and weaknesses of previous reviews. As a result, an innovative classification has been designed and the distinct elements of optimization models in DGSs have been highlighted: microgrid architecture, sources of uncertainty, uncertainty addressing methods, problem types and formulations, objective functions, optimization algorithms and additional features. Each part is detailed thoroughly to provide an instructive overview of the research output in the area. Subsequently, several aspects of interest are discussed in depth: the future of dealing with uncertainty, the main contributions and trends, and the relative importance of the field. It is expected that this review will be of use to both experts and lay people to learn more about the current state of optimization models in DGSs and provide insights into how to further develop this field.

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Section: Point Estimate Methodsmentioning

confidence: 99%

Section: Referencementioning

confidence: 99%

Optimization Models under Uncertainty in Distributed Generation Systems: A Review

et al. 2022

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“…Based on this, the description of a system in the fractional case can be similar to the transfer function described in relation (30), and a description in the states space as in relation (31).…”

Section: Elements and Notions Of Fractional Calculusmentioning

confidence: 99%

“…Taking into account these elements, the paper starts from the PMSM control based on the DTC strategy and presents the improvement of the control system performance in the case of constant reference flux by using PI type fractional controllers, the optimisation of the controller parameters using a computational intelligence algorithm, namely the EOA type algorithm [29,30,31], the synthesis of a speed, torque and flux observer, and in terms of the performance of the control system, the comparison between these control systems uses both the usual performance indicators and the FD of the PMSM speed signal. In the case of a variable reference flux, the speed controller provides the reference for the torque controller, while an SMC controller [32,33] is used to provide the flux reference in both the integer-order and fractional-order FOSMC variants [34,35,36].…”

Section: Introductionmentioning

confidence: 99%

Improved Performance of the PMSM Sensorless Control System Based on DTC Strategy and SMC Using Fractional Order and Fractal Dimension Calculus

Nicola,

Selișteanu

et al. 2024

Preprint

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Starting from the fact that one of the global control strategies of the Permanent Magnet Synchronous Motor (PMSM), namely the Direct Torque Control (DTC) type control strategy, is characterised by the fact that the inner flux and torque control loop usually uses hysteresis ON-OFF type controllers and the oscillations introduced by them have to be cancelled out by the outer speed loop controller (which is usually a PI speed controller and whose performance is good around the global operating points and for relatively small variations of the external parameters and disturbances caused in particular by the load torque variation), while retaining the advantages of the DTC strategy, this paper presents the improvement of the performance of the PMSM sensorless control system using Proportional Integrator (PI), PI Equilibrium Optimizer Algorithm (EOA), Fractional Order (FO) PI, Tilt Integral Derivative (TID) and FO Lead-Lag for constant flux, and Sliding Mode Control (SMC) and FOSMC for variable flux. The performance indicators of the control system are the usual ones: response time, settling time, overshoot, steady-state error and speed ripple, plus another one given by the fractal dimension (FD) of the PMSM rotor speed signal, and the hypothesis that the FD of the controlled signal is higher when the control system provides better performance is verified. The paper also presents the basic equations of the PMSM, based on which the synthesis of integer and fractional controllers, the synthesis of an observer for estimating the PMSM rotor speed, electromagnetic torque and stator flux are presented. The comparison of the performance of the proposed control systems and the demonstration of the parametric robustness are performed by numerical simulations in Matlab/Simulink using Simscape Electrical and Fractional Order Modelling and Control (FOMCON). Real-time control based on an embedded system using a TMS320F28379D controller demonstrates the good performance of the PMSM sensorless control system based on the DTC strategy in a complete hardware-in-the-loop (HIL) implementation.

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“…In [38], an improved EO integrated for with optimal allocation of multiple PV units with batteries has been described. In [39], EO was utilized for the EMO considering the energy storage devices and the emissions from the associated DERs. In [40], EO was employed for estimating the undefined parameters for the lithium-ion batteries.…”

Section: Introductionmentioning

confidence: 99%

Renewable Energy Micro-Grid Interfacing: Economic and Environmental Issues

et al. 2022

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This paper presents a study on the technical, economic, and environmental aspects of renewable energy resources-based distributed generation units (DGs). These units are connected to the medium-voltage network to create a new structure called a microgrid (MG). Renewable energies, especially wind and solar, are the most important generation units among DGs. The stochastic behavior of renewable resources increases the need to find the optimum operation of the MG. The optimal operation of a typical MG aims to simultaneously minimize the operational costs and the accompanied emission pollutants over a daily scheduling horizon. Several renewable DGs are investigated in the MG, consisting of biomass generators (BGs), wind turbines (WTs), and photovoltaics (PV). For the proposed operating strategy of the MG, a recent equilibrium optimization (EO) technique is developed and is inspired by the mass balance models for a control volume that are used to estimate their dynamic and equilibrium states. The uncertainties of wind speed and solar irradiation are considered via the Weibull and Beta-probability density functions (PDF) with different states of mean and standard deviation for each hour, respectively. Based on the developed EO, the hourly output powers of the PV, WT, and BGs are optimized, as are the associated power factors of the BGs. The proposed MG operating strategy based on the developed EO is tested on the IEEE 33-bus system and the practical large-scale 141-bus system of AES-Venezuela in the metropolitan area of Caracas. The simulation results demonstrate the significant benefits of the optimal operation of a typical MG using the developed EO by minimizing the operational costs and emissions while preserving the penetration level of the DGs by 60%. Additionally, the voltage profile of the MG operation for each hour is highly enhanced where the minimum voltage at each hour is corrected within the permissible limit of [0.95–1.05] Pu. Moreover, the active power losses per hour are greatly reduced.

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Probabilistic Modeling and Equilibrium Optimizer Solving for Energy Management of Renewable Micro-Grids Incorporating Storage Devices

Cited by 12 publications

References 39 publications

Optimization Models under Uncertainty in Distributed Generation Systems: A Review

Optimization Models under Uncertainty in Distributed Generation Systems: A Review

Improved Performance of the PMSM Sensorless Control System Based on DTC Strategy and SMC Using Fractional Order and Fractal Dimension Calculus

Renewable Energy Micro-Grid Interfacing: Economic and Environmental Issues

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