A New Hybridization Concept for Distributed Generation and Microgrids under Harmonic and Nonlinear Loads

Goleij, Pedram; Hajiaghasi, Salman; Salemnia, Ahmad

doi:10.1109/sgc.2018.8777778

Cited by 5 publications

(5 citation statements)

References 10 publications

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“…In case of large nonlinear loads, harmonic content should be decreased using passive or active power filters which are an expensive solution, so ILCs can be effectively used to suppress harmonic currents imposed by nonlinear loads. The ILCs can contribute to voltage stability improvement [3,4], voltage unbalance compensation [5,6], flicker mitigation [7], harmonic compensation [8][9][10] and reactive power compensation [11] in MGs and distribution networks. As the number of nonlinear loads is growing rapidly in distribution systems, ILC harmonics compensation plays an interesting and important role.…”

Section: Introductionmentioning

confidence: 99%

Hybrid energy storage system control analogous to power quality enhancement operation of interlinking converters

Hajiaghasi

Salemnia

Hamzeh³

2021

IJECE

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Increasing nonlinear loads and power electronic converters lead to various power quality issues in microgrids (MGs). The interlinking converters (ILCs) can participate in these systems to harmonic control and power quality enhancement. However, ILC participation deteriorates the dc link voltage, system stability, and storage lifetime due to oscillatory current phenomena. To address these problems, a new control strategy for a hybrid energy storage system (HESS) is proposed to eliminate the adverse effects of the harmonic control operation of ILC. Specifically, battery and super-capacitor (SC) are used as HESSs that provide low and high power frequency load, respectively. The proposed strategy tries to compensate the current oscillation imposed by ILC with fuzzy control of HESS. In this method, a proportional-resonant (PR) controller integrated with harmonic compensator (HC) is employed to control the ILC for power quality enhancement and oscillatory current elimination. The main advantages of the proposed strategy are to reduce DGs power ﬂuctuations, precise DC bus voltage regulation for generation and load disturbances, improved grid power quality under nonlinear load and transition conditions. The performance of the proposed method for isolated and grid-connected modes is verified using simulation studies in the MATLAB software environment.

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Section: Introductionmentioning

confidence: 99%

Hybrid energy storage system control analogous to power quality enhancement operation of interlinking converters

Hajiaghasi

Salemnia

Hamzeh³

2021

IJECE

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“…Due to the ESS application's importance, many researchers have studied this issue for various reasons, including the diversity of technology, appropriate ESS size, and determination of the charging and discharging strategy. [12][13][14][15] Storages capacity sizing techniques are classified into analytical, 16 statistical, 17 search-based, 18 Pinch analysis, 19 and Ragone plot methods 20 shown in Figure 2. In Reference 22, optimal sizing of the HESS using a fuel cell and SC system for renewable off-grid applications was implemented based on the HOMER optimization method.…”

Section: Introductionmentioning

confidence: 99%

“…Hence, a trade‐off between ESS capacity and cost should be achieved. Due to the ESS application's importance, many researchers have studied this issue for various reasons, including the diversity of technology, appropriate ESS size, and determination of the charging and discharging strategy 12–15 . Storages capacity sizing techniques are classified into analytical, 16 statistical, 17 search‐based, 18 Pinch analysis, 19 and Ragone plot methods 20 shown in Figure 2.…”

Section: Introductionmentioning

confidence: 99%

Hybrid energy storage sizing based on discrete Fourier transform and particle swarm optimization for microgrid applications

Hajiaghasi

Ahmadi

Goleij

et al. 2021

Int Trans Electr Energ Syst

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One of the significant challenges toward utilizing hybrid energy storage systems (HESSs) in microgrids (MGs) is the accurate sizing of the storage devices. This article developed an effective method that evaluates battery lifetime's impact on the optimal size of a HESS considering the total cost function minimization. Therefore, high-frequency powers are provided by supercapacitor (SC), and the battery provides low-frequency power. Besides, implementing discrete Fourier transform (DFT) and the particle swarm optimization (PSO) algorithm is also proposed to achieve optimal HESS sizing in MG. The difference between power generation and load consumption is transferred to the frequency domain, and after determining the cut-off frequency, the optimized cost function is obtained. The suggested sizing strategy has been validated with actual data of solar radiation, wind speed, and load profile on an MG. Compared to just utilizing battery storage, the system's total cost is decreased by employing the proposed HESS configuration, and its dynamic performance is improved by allocating high-frequency power to the SCs. Considering the battery lifetime, it would be observed that implementing HESS List of Symbols and Abbreviations: I ph , PV current source; R s , series cells resistance; R p , parallel cells resistance; T a , ambient temperature; NOCT, cell temperature under operating conditions; T aNOCT , ambient temperature in which NOCT is defined; G, sun's radiation; G NOCT , amount of solar radiation; I scref , short circuit current at reference temperature; G ref , light reference radiation; α isc , short circuit current coefficient; T ref , solar cell reference temperature; V ocref , open-circuit voltage at standard conditions; α voc , voltage temperature coefficient; q, electron columbic charge; n, diode factor; k, Boltzmann constant; N s , number of attached cells in series; R 0 , electrode resistance; R 1 , loss of power; V T , battery terminal voltage; V oc , unloaded voltage condition of the battery; Ah, nominal capacity of the battery; I batt , battery current; SOC, battery charge state; SOC init , initial battery charge; K e , anti-propulsion voltage on SOC; I 2 , current flow through R 1 ; ΔV, SC voltage changes; ΔI, current flow changes; I c , SC charging current; t c , SC charging time; C ucapR , SC's nominal capacity; P w , wind turbine output power; P r , nominal turbine power; V r , nominal velocity; V co , upper turbine speed limit; V ci , lower turbine speed limit; A w , total surface area; η g , electrical efficiency; E Disch , amount of discharged energy; V Bat , battery voltage; S life , system lifetime; K life , lifetime coefficient; C rep , replacement factor; v i , velocity of a particle ith; c 1 , c 2 , learning factors; r 1 , random number; P best , best solution; G best , best global solution; x i , position of a particle; N, number of samples; A(k), signal amplitude; f(k), frequency; η d , discharging efficiency; η c , charging efficiency; CA Bat , Battery cost per unit; CA SC , SC cost per unit;...

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“…The above droop control strategies are all control strategies under ideal conditions, and the situation of non-linear loads in microgrid is not analyzed. When the current is distorted by nonlinear load, it will cause additional power loss, interfere with grid-connected equipment, cause instability of microgrid system, and seriously affect power quality [14] [15]. In literature [16], a harmonic compensation strategy for low switching frequency of interconnected converters is proposed based on the virtual impedance theory.…”

Section: Introductionmentioning

confidence: 99%

An Improved Harmonic Suppression Control Strategy for the Hybrid Microgrid Bidirectional AC/DC Converter

Wang

2020

IEEE Access

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A New Hybridization Concept for Distributed Generation and Microgrids under Harmonic and Nonlinear Loads

Cited by 5 publications

References 10 publications

Hybrid energy storage system control analogous to power quality enhancement operation of interlinking converters

Hybrid energy storage system control analogous to power quality enhancement operation of interlinking converters

Hybrid energy storage sizing based on discrete Fourier transform and particle swarm optimization for microgrid applications

An Improved Harmonic Suppression Control Strategy for the Hybrid Microgrid Bidirectional AC/DC Converter

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