Ultracapacitor-based distributed energy resources to support time-varying smart-grid power flows

Manfredi, Sabato; Pagano, Mario; Raimo, R.

doi:10.1109/speedam.2012.6264610

Cited by 17 publications

(4 citation statements)

References 11 publications

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“…Unlike hybrid electric vehicles, plug-in electric vehicles can be recharged externally using either a domestic supply or charging stations. Also, the main advantage of plug-in hybrid electric vehicles is that the smart grid concept can be applied, which means that the battery in the electric vehicle works as a sink or source with an electric grid [6,7].…”

Section: Introductionmentioning

confidence: 99%

“…From the Ragone chart, we can conclude that the power density of UC is high (6800 W/kg); therefore, the UC fulfills the peak load demand. On the other hand, the energy density of a battery is high (up to 100 to 265Wh/kg); therefore, the combination offers better performance as compared to the use of either alone [4][5][6][7]13]. Table1 represents a comparison of various energy storage elements.…”

Section: Introductionmentioning

confidence: 99%

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Battery Life Enhancement in a Hybrid Electrical Energy Storage System Using a Multi-Source Inverter

Mahadik

Vadirajacharya

2019

WEVJ

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This paper introduces a new topology using a multi-source inverter with the intention of reducing the battery current and weight, while enhancing the battery life and increasing the driving range for plug-in electric vehicles, with the combination of a battery and an ultracapacitor (UC) as storage devices. The proposed topology interconnects the UC and battery directly to the three-phase load with a single-stage conversion using an inverter. The battery life is considerably reduced due to excess (peak) current drawn by the load, and these peak load current requirements are met by connecting the ultracapacitor to the battery, controlled through an inverter. Here, the battery is used to cater to the needs of constant profile energy demands, and the UC is used to meet the dynamic peak load profile. This system is highly efficient and cost-effective when compared to a contemporary system with a single power source. Through a comparative analysis, the cost-effectiveness of the proposed energy management system (EMS) is explained in this paper. Energy and power exchange are implemented with an open-loop control strategy using the PSIM simulation environment, and the system is developed with a hardware prototype using different modes of inverter control, which reduces the average battery current to 27% compared to the conventional case. The driving range of electric vehicles is extended using active power exchange between load and the sources. The dynamics of the ultracapacitor gives a quick response, with battery current shared by the ultracapacitor. As a result, the battery current is reduced, thereby enhancing the driving cycle. With the prototype, the results of the proposed topology are validated.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Battery Life Enhancement in a Hybrid Electrical Energy Storage System Using a Multi-Source Inverter

Mahadik

Vadirajacharya

2019

WEVJ

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“…The proposed protection scheme relies upon the proper installation of suitably-sized Energy Storage Systems (ESSs) [19] [20] in order to mitigate the effects of the ongoing D-LAA and preserve the power system's stability. In this regard, ESS technology has significantly improved over the last years, with possible applications starting to be investigated at transmission [21] [22], distribution [23]- [26], microgrid [27][28] and consumer [29] level. The presented setup is also of practical interest due to its link to the concept of frequency-responsive loads [30] [31], which are expected to support traditional power plants in the provisioning of frequency regulation services.…”

Section: Introductionmentioning

confidence: 99%

On the optimization of energy storage system placement for protecting power transmission grids against dynamic load altering attacks

Giorgio

Giuseppi

Liberali

et al. 2017

2017 25th Mediterranean Conference on Control and Automation (MED)

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In this paper a power system protection scheme based on energy storage system placement against closed-loop dynamic load altering attacks is proposed. The protection design consists in formulating a non-convex optimization problem, subject to a Lyapunov stability constraint and solved using a two-step iterative procedure. Simulation results confirm the effectiveness of the approach and the potential relevance of using energy storage systems in support of primary frequency regulation services.

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“…Smart grid technologies offer consumers quality power by means of new energy storage systems such as a SMES [1,2], an ultra capacitor [3], etc. This paper attempts to make use of superconducting magnetic energy storage as an option to supplement sudden demand of power and support frequency deviation to a large extent.…”

Section: Introductionmentioning

confidence: 99%

Power–frequency balance with superconducting magnetic energy storage using optimized intelligent controller

Bhateshvar¹,

Mathur²

2014

energetika

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This paper presents an optimized design of the fuzzy logic controller (FLC) for the two-area interconnected power system to regulate the frequency deviation and power deviations when subjected to change in load. The developed power system model apart from having conventional sources also has a superconducting magnetic energy storage (SMES) unit which is capable of storing electric energy and releases it as per system requirements. SMES is used to support short-term active power in order to maintain power-frequency balance in the system under test. This two-area power system considered comprises reheat thermal and hydro units of the same capacity in each area. In the proposed control scheme, optimization of the FLC is carried out in four different steps: the first step is for optimization of the range of input and output variables, the second one for membership functions, the third and fourth steps for rule base and rule weight optimization, respectively. Genetic algorithm (GA) is used for the proposed step-by-step optimization process. Comparing the other methods available in literature, the proposed method is found more effective in achieving optimal results. Simulation results are also tabulated as a comparative performance in view of the main performance indices, i. e. settling time and peak undershoot.

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Ultracapacitor-based distributed energy resources to support time-varying smart-grid power flows

Cited by 17 publications

References 11 publications

Battery Life Enhancement in a Hybrid Electrical Energy Storage System Using a Multi-Source Inverter

Battery Life Enhancement in a Hybrid Electrical Energy Storage System Using a Multi-Source Inverter

On the optimization of energy storage system placement for protecting power transmission grids against dynamic load altering attacks

Power–frequency balance with superconducting magnetic energy storage using optimized intelligent controller

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