Hybrid Energy Storage Systems: Connecting Batteries in Parallel with Ultracapacitors for Higher Power Density

Bolborici, Valentin; Dawson, F.P.; Lian, Keryn

doi:10.1109/mias.2013.2288374

Cited by 38 publications

(14 citation statements)

References 35 publications

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“…As the burden that each power source should handle at steady state and transients could be set to be different, in addition, the considered virtual impedance-based approach enables system operation so that the lifetime of the power sources could be maximized. As reported in detailed lifetime studies [48,49], the aging of fuel cells and batteries are determined by the operation profiles of each source. For example, fuel cells show expedited aging when it experiences large power transients [48] and the operation profile has direct impact on the thermal stress of batteries [49].…”

Section: Contributions Of Present Workmentioning

confidence: 99%

Decentralized Power Management for Electrical Power Systems in More Electric Aircrafts

2018

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In order to implement reliable and flexible power management among energy sources, a decentralized power management approach for electrical power systems (EPSs) in the more electric aircraft (MEA) is studied. Considering the increased use of electrical power for various functions, the performance of MEA would be determined by the design and operation of the EPS. By using a virtual impedance that includes both a resistive term and an inductive term, autonomous power sharing is realized. Because of the frequency dependence in the virtual impedance, different power sharing ratios between steady state and transient state can be considered. Not only the operation of various power sources is coordinated without supervision of a centralized controller, but also the operation profile of each source can be adjusted to meet output characteristics of each source. To demonstrate the effectiveness of the proposed approach, a series of simulations that consider various virtual impedance configurations were conducted. The proposed approach contributes to a higher level of operational flexibility, while enabling reliable and cost-effective management of MEAs.

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Section: Contributions Of Present Workmentioning

confidence: 99%

Decentralized Power Management for Electrical Power Systems in More Electric Aircrafts

2018

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“…Implementation of energy storage can improve power system performance in a variety of ways [12]. Improving dynamic stability [13], transient voltage dips, dynamic voltage stability [14], energy and ancillary service market performance [15], power quality [16], etc. are some of these improvements.…”

Section: Sets and Indices Gmentioning

confidence: 99%

“…Equation (15) with constraints proposed in equations (1) to (14) defines hourly system operation strategy aiming to maximize system social welfare. The effect of storage devices on system operation and social costs are assessed by hourly optimization of (1) in each day over a midterm horizon (typically one year) since a suitable evaluation method should accurately address both short term and long term benefits of storage devices.…”

Section: B Objective Functionmentioning

confidence: 99%

Robust computational framework for mid‐term techno‐economical assessment of energy storage

Maghouli¹,

Soroudi

Keane

2016

IET Generation, Transmission & Distribution

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Abstract-Rapid expansion and integration of wind energy is restrained due to transmission capacity constraints and conventional generation technologies limited operational flexibility in todays power systems. Energy storage is an attractive option to integrate and utilize more renewable energy without major and timely upgrade of existing transmission infrastructure. Also it can be considered as a mean for differing the reinforcement plans. The evaluation of energy storage deployment projects is a challenging task due to severe uncertainty of wind power generation. In this paper a robust techno-economic framework is proposed for energy storage evaluation based on Information Gap Decision Theory for handling wind generation uncertainty. The total social cost of the system including conventional generators' fuel and pollution cost and wind power curtailment cost is optimized considering generators operational constraints and transmission system capacity limitations based on the DC model of the power grid. The effect of storage devices on system performance is evaluated taking into account wind power uncertainty. The proposed method is conducted on the modified IEEE Reliability Test System (IEEE-RTS) and the modified IEEE 118 bus test system to assess its applicability and performance in midterm robust evaluation of energy storage implementation plans.Index Terms-DC optimal power flow, Storage devices, Transmission capacity constraints, Wind power generation, Information Gap Decision Theory. NOMENCLATURE Sets & Indices Capacity of Wind turbine installed in busCharging/discharging efficiency of the energy storage unitCritical/opportunistic increase/decrease of base cost in RA/RS approach ($) ∆t Duration of time period t ag/bg/cg Fuel cost coefficient of thermal unit g P I. INTRODUCTION A. Background and motivationsMany countries have long term plans to increase the share of renewable energy resources in their generation mix. Among these renewable resources there has been increasing interest to invest and integrate more wind power in to existing power systems. However, increasing the wind penetration introduces profound challenges to traditional operating and planning practices. These new challenges arise mainly because of the variable nature of wind energy which results in none optimal operation of electric power systems. Traditionally it is accepted that electricity supply and consumption must remain in instantaneous balance the opportunity to store electrical energy in storage devices may now change this paradigm. Wind power intermittency and variability requires other fast ramping power sources to balance the supply-demand equilibrium in power systems [1]. Because of limiting capacity of fast ramping generation technologies such as hydro and pumped storage power plants, significant integration of wind power to existing power infrastructure requires major system upgrades or implementing energy storage facilities [2]. Besides, using energy storage facilities will result in more utilization of existing assets and ...

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“…One key assumption of this advantage high-rate discharge, if the ESS is pulse dischar ge in energy. For rom to , and ating the product ∆ / is harge values , king a "weighted (3) takes samples at weight to every ectangle method, us samples of the sample locations mooth function of tion that can be g a polynomial (4) c problem with a using rigorous re at the zeros of e corresponding quadrature [10]. at these optimal to evaluate the le of the Gausse found in [17].…”

Section: A Weak History Dependence Assumptionmentioning

confidence: 99%

An energy-based method for the assessment of battery and battery-ultracapacitor energy storage systems in pulse-load applications

Zhang

Kassakian

2015

2015 IEEE Applied Power Electronics Conference and Exposition (APEC)

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A new energy-based method is described for studying the performance of battery or battery-ultracapacitor energy storage systems (ESS) in pulse load applications. The method estimates the total energy available in each ESS from a small number of discrete measurements at different states-ofcharge. This considerably reduces experiment time, when compared to slowly depleting the ESS over the course of several hours. To illustrate the use of this method, experiments are performed for nickel-metal hydride (NiMH) batteries and lithium-iron phosphate (LiFePO4) batteries as well as their corresponding battery-ultracapacitor paralleled systems, under various pulse-load profiles and with different ratios of capacitor rating to battery energy. The results show accuracy of the method on the order of 0.5% and the improvements in total energy by incorporating ultracapacitors range from 3% to 47%, depending upon load profiles, experimental conditions and battery-ultracapacitor combinations.

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Hybrid Energy Storage Systems: Connecting Batteries in Parallel with Ultracapacitors for Higher Power Density

Cited by 38 publications

References 35 publications

Decentralized Power Management for Electrical Power Systems in More Electric Aircrafts

Decentralized Power Management for Electrical Power Systems in More Electric Aircrafts

Robust computational framework for mid‐term techno‐economical assessment of energy storage

An energy-based method for the assessment of battery and battery-ultracapacitor energy storage systems in pulse-load applications

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