Smart technique for identifying hybrid systems

Stevek, Juraj; Szűcs, Alexander; Kvasnica, Michal; Kozák, Štefan; Fikar, Miroslav

doi:10.1109/sami.2012.6208995

Cited by 4 publications

(5 citation statements)

References 18 publications

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“…To locate the optimal breakpoints for creating a linear‐piecewise function, a nonlinear programming problem (NLP) must be solved for each operation point. For this purpose, we used a toolbox created in previous studies,() which uses MATLAB's symbolic toolbox and fmincon solver to solve the NLP. For candidate operation points, we have selected two data points for C r ∈ {0,1} and 500 logarithmically distributed data points (from 10 −4 to 5·10 3 ) for FEC 0 .…”

Section: Methodsmentioning

confidence: 99%

Design and analysis of an aging‐aware energy management system for islanded grids using mixed‐integer quadratic programming

et al. 2019

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Summary The rapid increase of renewable energy sources made coordinated control of the distributed and intermittent generation units a more demanded task. Matching demand and supply is particularly challenging in islanded microgrids. In this study, we have demonstrated a mixed‐integer quadratic programming (MIQP) method to achieve efficient use of sources within an islanded microgrid. A unique objective function involving fuel consumption of diesel generator, degradation in a lithium‐ion battery energy storage system, carbon emissions, load shifting, and curtailment of the renewable sources is constructed, and an optimal operating point is pursued using the MIQP approach. A systematic and extensive methodology for building the objective function is given in a sequential and explicit manner with an emphasis on a novel model‐based battery aging formulation. Performance of the designed system and a sensitivity analysis of resulting battery dispatch, diesel generator usage, and storage aging against a range of optimization parameters are presented by considering real‐world specifications of the Semakau Island, an island in the vicinity of Singapore.

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Section: Methodsmentioning

confidence: 99%

Design and analysis of an aging‐aware energy management system for islanded grids using mixed‐integer quadratic programming

et al. 2019

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“…After obtaining an appropriate form for approximation, the coefficients a i and b i , and the breakpoints r i , in Equation (A1), can be found by solving a nonlinear programming problem, defined by Equation (A4) for a pre-defined N number of pieces [52]. Therefore, an open-source toolbox, developed by Alexander Szücs et al [64][65][66], is used to determine the unknown parameters. Solutions are given in Tables A4 and A5.…”

Section: Abbreviationsmentioning

confidence: 99%

Ageing and Efficiency Aware Battery Dispatch for Arbitrage Markets Using Mixed Integer Linear Programming †

et al. 2019

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To achieve maximum profit by dispatching a battery storage system in an arbitrage operation, multiple factors must be considered. While revenue from the application is determined by the time variability of the electricity cost, the profit will be lowered by costs resulting from energy efficiency losses, as well as by battery degradation. In this paper, an optimal dispatch strategy is proposed for storage systems trading on energy arbitrage markets. The dispatch is based on a computationally-efficient implementation of a mixed-integer linear programming method, with a cost function that includes variable-energy conversion losses and a cycle-induced battery capacity fade. The parametrisation of these non-linear functions is backed by in-house laboratory tests. A detailed analysis of the proposed methods is given through case studies of different cost-inclusion scenarios, as well as battery investment-cost scenarios. An evaluation with a sample intraday market data set, collected throughout 2017 in Germany, offers a potential monthly revenue of up to 8762 EUR/MWh cap installed capacity, without accounting for the costs attributed to energy losses and battery degradation. While this is slightly above the revenue attainable in a reference application—namely, primary frequency regulation for the same sample month (7716 EUR/MWh cap installed capacity)—the situation changes if costs are considered: The optimisation reveals that losses in battery ageing and efficiency reduce the attainable profit by up to 36% for the most profitable arbitrage use case considered herein. The findings underline the significance of considering both ageing and efficiency in battery system dispatch optimisation.

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“…To locate the optimal breakpoints for creating a linearpiecewise function, a nonlinear programming problem (NLP) must be solved for each operation point. For this purpose, we used a toolbox created by Alexander Szücs et al [109][110][111][112] which uses MATLAB's symbolic toolbox and fmincon solver to solve the NLP. For candidate operation points, we have selected two data points for C r ∈ {0, 1}, and 500 logarithmically distributed data points (from 10 −4 to 5 • 10 3 ) for FEC 0 .…”

Section: Calendar Aging Linearizationmentioning

confidence: 99%

“…First, considering the desired accuracy, necessary data points for linear approximation is determined. In this study, although we have selected these data points empirically, one may also consider optimal selection of these points for one dimensional functions as in [109][110][111]164]. The loss function f AC (P AC ) and its approximation based on the selected vertices are given in Figure 5.4 where P AC ≥ 0 indicates charging.…”

Section: Approximation Of Power Electronics Efficiencymentioning

confidence: 99%

“…After obtaining an appropriate form for approximation, the coefficients a i , b i and the breakpoints r i in Equation ( 1) can be found via solving a nonlinear programming problem defined by Equation ( 4) for a pre-defined N number of pieces [12]. Therefore, an open-source toolbox developed by Alexander Szücs et al [109][110][111] is used to determine the unknown parameters. Regarding solutions are given in Tables A.9 and A.10.…”

Section: Pwa Approximationmentioning

confidence: 99%

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Aging-aware battery dispatch optimization for grid applications

Kumtepeli¹

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Day by day the need for autonomy, efficiency, reliability, and sustainability in the power generation, drives researchers to seek alternative energy resources. Therefore, the demand for renewable energy sources (RES) is increasing worldwide, which is followed by the rising contemporary challenges due to the non-dispatchable nature of some of the RESs e.g. solar and wind. In this context, battery storage systems (BESS) appear as a remedy to attenuate the fluctuations caused by the variable power generation. However, despite their rapidly declining prices and improving capabilities, BESSs are yet to be economically feasible in most applications. Thus, their optimized operation plays a major role in reducing their cost. As reported in the literature, there is still a wide gap between BESS and optimization studies. Namely, including state-of-the-art battery aging models within the power system optimization has not been investigated sufficiently.This study presents the construction of an aging-aware energy management system (EMS) for stationary BESSs based on lithium-ion batteries, specifically, lithium-iron-phosphate cells. The EMS incorporates battery degradation costs by using high-fidelity semi-empirical battery models along with a mixed-integer predictive control framework. The proposed method is demonstrated on several grid applications such as energy management in island microgrids and battery dispatch in energy arbitrage markets.

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Smart technique for identifying hybrid systems

Cited by 4 publications

References 18 publications

Design and analysis of an aging‐aware energy management system for islanded grids using mixed‐integer quadratic programming

Design and analysis of an aging‐aware energy management system for islanded grids using mixed‐integer quadratic programming

Ageing and Efficiency Aware Battery Dispatch for Arbitrage Markets Using Mixed Integer Linear Programming †

Aging-aware battery dispatch optimization for grid applications

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