An innovative approach of optimizing size and cost of hybrid energy storage system with state of charge regulation for stand-alone direct current microgrids

Premadasa, P.N.D.; Chandima, D. P.

doi:10.1016/j.est.2020.101703

Cited by 23 publications

(10 citation statements)

References 24 publications

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“…Different publications [18][19][20][21][22][23] study the optimal design of PV-wind hybrid isolated system with different criteria. Cho et al 18 used a hybrid teaching-learningbased optimization algorithm to choose the optimal size of a stand-alone hybrid PV/wind/diesel/battery system.…”

Section: Introductionmentioning

confidence: 99%

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Minimum cost‐based design of isolated PV ‐wind hybrid system considering the PV tilt angle and wind turbine hub height as design parameters using genetic algorithm

2021

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The optimal sizing of a hybrid energy system may be a difficult undertaking problem because of the huge number of structure settings and the irregular nature of solar radiation and wind power sources. This issue has a place with the classification of combinatorial enhancement, and its solution dependent on the classical technique may be a waste of time. In the present paper, the generation cost of isolated PV-wind by bird system is minimized by increasing the capacity factor of the system by adjusting both of PV-tilt angle and wind turbine hub height such that the average generated power is as near as possible to the generation peak. By considering the PV-tilt angle and the turbine hub height, the diversity between the two generation patterns increases resulting in lower cost. The objective of the present paper is to find the optimal design of the PV-wind hybrid system based on minimum cost criterion using a genetic algorithm. Also, it studies the effect of considering the PV-tilt angle and wind turbine hub height as design parameters for different diversity levels of wind speed and sun irradiance patterns. K E Y W O R D Sconstraints, cost, design parameters, fitness, genes, PV tilt angle, reliability, wind turbine hub Abbreviations: δ, solar declination angle; α, solar elevation angle; θ, azimuth angle; ;, location latitude; ω, hour angle; β, panel surface tilt angle; ε, roughness ingredient factor; σ, discharge rate; η BC , charging efficiency; η BD , discharging efficiency; C B , battery cost; C Br , battery replacement cost; C d , diesel cost; C dc , diesel capital cost; C fuel , fuel cost; C pvc , capital cost of PV; C pvm , maintenance cost of PV; C wtc , capital cost of wind turbine; C wtm , maintenance cost of wind turbine; C pvw , cost of PV/wind system; CRF, capital recovery factor; D f , hourly fuel consumption; E B (t), battery capacity kWh at time t; E B , battery energy (Wh); f 1, derating factor; f, inflation rate; h d , diesel total operation hours; H wt , wind turbine hub height; i, interest rate; I o , solar insulation at standard conditions; N, project lifetime; nn, day julian number; nb, battery lifetime; N B , number of batteries; N D , number of diesels; N pv

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Section: Introductionmentioning

confidence: 99%

“…They concluded the importance of tilt angle adjustment on COE minimization. Premadasa and Chandima, 21 based on the state of charge and system cost proposed an approach to size and optimize the storage system with the aid of GA. The author depended on a PV source to supply a dc load which is not the case in real life.…”

Section: Introductionmentioning

confidence: 99%

Minimum cost‐based design of isolated PV ‐wind hybrid system considering the PV tilt angle and wind turbine hub height as design parameters using genetic algorithm

2021

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“…In this context, a developed power management strategy is devoted to avoiding the subsystem unbalance. Another technique, based on numerical simulation, of optimization of the size and cost of a Hybrid Energy Storage System (HESS) for off-grid DC micro grids is developed by Premadasa et al 13 Furthermore, a novel penalty cost function for the HESS is introduced. In the same context, another work authored by Nassar et al 14 suggests an efficient sizing and optimization procedure for a PV/Wind power system including a Pumped Hydroelectric Storage (PHS) for sustainably feeding an urban community.…”

Section: Introductionmentioning

confidence: 99%

Improved off‐grid wind/photovoltaic/hybrid energy storage system based on new framework of Moth‐Flame optimization algorithm

Abbassi

Mehrez

Abbassi

et al. 2021

Intl J of Energy Research

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This paper suggests a new sizing optimization method of an off-grid renewable energy system. To perform an accurate analysis of the distribution of the exchanged energy with all storage elements, the discrete Fourier transform tool has been used. Besides, different frequency strains have been achieved in accordance with the dynamic of each storage device. Thus, the problem formulation targets the minimization of the Total Cost of Electricity (TCE) for the purposes of improving the reliability, and increasing the performance and the exploitation of the renewable energies for electrification fulfillment. The Loss of Power Supply Probability (LPSP) is also considered to improve the reliability rate of the selected configuration. Considering all storage dynamics to achieve the energy management strategy, a modified Moth-Flame Optimization (MFO) algorithm is proposed to address this problem. Based on economic evaluation and analysis, an optimal configuration of the system has been established. Referring to a high level of economic feasibility, the obtained results affirm that this architecture is able to deal successfully with the current sizing problem through its flexibility to achieve the lowest cost which is decreased by around 0.7 e 04 $ compared with the start of the search for the desired solution.

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“…The recent advancement in storage technology has made it possible to use several types of energy storage systems in various scales in power and energy applications. [13][14][15][16] However, the BESS is the most viable solution thanks to its efficacy 17 (in terms of operation and maintenance, energy efficiency and density, and reliability), low environmental pollution, 18 and fast ramp rate. 19 Therefore, it is a suitable option for primary frequency control in microgrids and utility-scale applications.…”

Section: Introductionmentioning

confidence: 99%

“…22 Thus far, many studies have researched in these contexts regarding BESS type. The objectives range from optimal power flow, [23][24][25] capital cost, 18 operation cost, 26 power quality, 27 and decarburization objectives 28 to energy loss reduction 29,30 and grid control objectives. 31 However, none of the mentioned works studied the microgrid's dynamic performance under the influence of the BESS location, specifically of HMGs operating with ACB or DCB.…”

Section: Introductionmentioning

confidence: 99%

Performance analysis of hybrid AC / DC microgrid under influence of battery energy storage location

Keshavarzi

Ali

2021

Int Trans Electr Energ Syst

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In microgrids, energy storage is generally located based on power management criteria and economic objectives that lean on the system's steady-state operation. However, the grid configuration, dynamics of primary energy sources, and storage type (AC or DC) impact its transient operation. This paper conducts a comparative study of the dynamic performance of Hybrid AC/DC Microgrids (HMGs) under the influence of Battery Energy Storage System (BESS) location, which has been neglected in the literature. The HMG performance is compared for one single BESS unit located either in AC or DC subgrid during various grid operational cases, considering interlinking converter (ILC) control topology that alters depending on the type of BESS. Two types of microgrid case studies with different structures have been considered, that is, a high inertia HMG and a converter-interfaced low inertia HMG. Simulation results reveal that the HMGs with both BESS locations perform robustly in handling grid disruptions. However, the BESS located in the DC sub-grid of a high inertia microgrid case presents an average of 40% higher quality of performance in key performance indicators compared to that of the AC sub-grid BESS. Conversely, the performance of the low inertia HMG with the BESS List of Symbols and Abbreviations: ω ref DG , ω Ã DG , reference and setpoint values of DG angular frequency; U ref DG ,U Ã DG , reference and setpoint values of DG voltage; U AC ,U DC , PCC voltage of ACg and DCg in the Case study I; U aci ,U dcj , bus voltages of ACg and DCg in the Case study II; ω,ω Ã ,U, U Ã , measured angular frequency and voltage (dq magnitude) of ACg and their setpoints; f AC , f ac , PCC and AC link frequency of ACg in the Case study I and II, respectively; U Ã dc , setpoint value of DCB terminal voltage; θ s , the phase angle of VSC output voltage; m DG ,n DG , active/reactive power droop coefficients of DG; m ACB ,n ACB , active/reactive power reverse droop coefficients of ACB in the Case study I; P DG , P ÃDG , active power of DG and its setpoint; Q DG ,Q Ã DG , reactive power of DG and its setpoint; P BESS , output power of battery energy storage system; P PV ,P WTG , P M , PV power, the active power of WTG, and mechanical power of induction motor in the Case study I; P L , P G , P loss , active power of AC Loads, DER generations, and line losses in the Case study I; P ACB ,P ref ACB ,P Ã ACB , output, reference, and setpoint active power of ACB in the Case study I; Q ACB ,Q ref ACB ,Q Ã ACB , output, reference, and setpoint reactive power of ACB in the Case study I; P ILC ,P Ã ILC , active power of ILC and its setpoint; Q ILC ,Q Ã ILC , reactive power of ILC and its setpoint; P ref , Q ref , active and reactive power reference of non-BESS DERs of ACg in the Case study II; I L ,I Lref , output current and its reference of non-BESS DERs of DCg in the Case study II; E 0 , R b ,Q, constant voltage, internal resistance, and charge capacity of the battery; K p , A,B, polarization constant and exponential zone voltages of the battery; U b ...

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An innovative approach of optimizing size and cost of hybrid energy storage system with state of charge regulation for stand-alone direct current microgrids

Cited by 23 publications

References 24 publications

Minimum cost‐based design of isolated PV ‐wind hybrid system considering the PV tilt angle and wind turbine hub height as design parameters using genetic algorithm

Minimum cost‐based design of isolated PV ‐wind hybrid system considering the PV tilt angle and wind turbine hub height as design parameters using genetic algorithm

Improved off‐grid wind/photovoltaic/hybrid energy storage system based on new framework of Moth‐Flame optimization algorithm

Performance analysis of hybrid AC / DC microgrid under influence of battery energy storage location

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