Adaptive load shedding scheme for frequency stability enhancement in microgrids

Marzband, Mousa; Moghaddam, Maziar Mirhosseini; Akorede, Mudathir Funsho; Khomeyrani, Ghazal

doi:10.1016/j.epsr.2016.06.037

Cited by 100 publications

(48 citation statements)

References 26 publications

(35 reference statements)

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“…Besides, the imbalance between the amount of generation and the load demand may result in power system instability [3]. Hence energy storage (ES) devices, including lead-acid batteries, Li-ion batteries, super capacitor (SC), flywheel storage and superconducting magnetic energy storage (SMES) can be utilized for output power smoothing.…”

Section: Introductionmentioning

confidence: 99%

Optimized Planning of Power Source Capacity in Microgrid, Considering Combinations of Energy Storage Devices

et al. 2016

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Since renewable energy resource is universally accepted as a promising method to solve the global energy problem, optimal planning and utilization of various distributed generators (DG) and energy storage (ES) devices deserve special concern. ES devices possess various characteristics in power density, energy density, response speed (switching speed) and lifetime. Besides, as different load types have various requirements on power supply reliability according to their importance, coordinated planning with consideration of reasonable matching between power source and load can efficiently improve power supply reliability and economic efficiency via a customized power supply and compensation strategy. This paper focuses on optimization of power source capacity in microgrid and a coordinated planning strategy is proposed with integrated consideration of characteristics of DG, ES and load. An index named additional compensation ratio (ACR) for balancing economic efficiency and reliability is proposed and considered in the strategy. The objective function which aims to minimize life cycle cost (LCC) is established considering economic efficiency, reliability and environmental conservation. The proposed planning strategy and optimizing model is calculated and verified through case study of an autonomy microgrid.

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Section: Introductionmentioning

confidence: 99%

Optimized Planning of Power Source Capacity in Microgrid, Considering Combinations of Energy Storage Devices

et al. 2016

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“…Since it is likely to have shortage or excess in power generation anytime during the daily operation of an islanded H-MG, the energy management system (EMS) design should consider this specification. It is also desired for the EMS design to adapt and compensate itself in real-time to any changes in the types and capacity of the generation and storage assets quickly, without any modification in the EMS, in addition, maximizing the operational efficiency (equivalently minimizing the cost of operation), minimizing the emission [5], maximizing the lifetime of assets [6][7][8][9], increasing the reliability of inter-operatability [10,11] or a combination of the above for a multi-objective type EMS [12][13][14][15]. The proposed supervisory controllers for the safe and optimal H-MGs operation are categorized as: central energy management system (CEMS) and distributed energy management system (DEMS), where certain advantages and drawbacks have been comparatively reviewed in [12,16].…”

Section: Introductionmentioning

confidence: 99%

A real-time evaluation of energy management systems for smart hybrid home Microgrids

Marzband

Ghazimirsaeid

Uppal

et al. 2017

Electric Power Systems Research

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131

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Real-time energy management within the concepts of home Microgrids (H-MG) systems is crucial for H-MG operational reliability and safe functionality, regardless of simultaneously emanated variations in generation and load demand transients. In this paper, an experimental design and validation of a real-time mutli-period artificial bee colony (MABC) topology type central energy management system (CEMS) for H-MGs in islanding mode is proposed to maximize operational efficiency and minimize operational cost of the H-MG with full degree of freedom in automatically adapt the management problem under variations in the generation and storage resources in real-time as well, suitable for different size and types of generation resources and storage devices with plug-and-play structure, is presented. A self-adapting CEMS offers a control box capability of adapting and optimally operating with any H-MGs structure and integrated types of generation and storage technologies, using a two-way communication between each asset, being a unique inherent feature. This CEMS framework utilizes feature like day-ahead scheduling (DAS) integrated with real-time scheduling (RTS) units, and local energy market (LEM) structure based on Single Side Auction (SSA) to regulate the price of energy in real-time. The proposed system operates based on the data parameterization such as: the available power from renewable energy resources, the amount of non-responsive load demand, and the wholesale offers from generation units and time-wise scheduling for a range of integrated generation and demand units. Experimental validation shows the effectiveness of our proposed EMS with minimum cost margins and plugand-play capabilitities for a H-MG in real-time islanding mode that can be envisioned for hybrid multi-functional smart grid supply chain energy systems with a revolutionary architectures. The better performance of the proposed algorithm is shown in comparison with the mixed integer non-linear programming (MINLP) algorithm, and its effectiveness is experimentally validated over a microgrid test bed. The obtained results show convergence speed increase and the remarkable improvement of efficiency and accuracy under different condition.

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“…These "things" can be part of complex systems for healthcare [18][19][20][21][22][23][24][25], smart agriculture [26], science experiments [27], vehicles [28][29][30][31][32], satellites [33][34][35], domotics [36,37], robots/drones or industrial machines [38][39][40], telecom or surveillance apparatus [41][42][43], sport [44,45] or energy/smart-grid systems [46][47][48][49][50], and/or consumer electronics [51][52][53][54][55][56][57]. These units are usually wireless nodes, working at sub-GHz frequencies or in the range 2.4 GHz to 6 GHz [58][59][60][61], or at mm-waves [62][63][64].…”

Section: Introductionmentioning

confidence: 99%

Fully-Integrated Converter for Low-Cost and Low-Size Power Supply in Internet-of-Things Applications

Gutiérrez¹

2017

Electronics

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Abstract:The paper presents a fully-integrated and universal DC/DC converter to minimize cost and size of power supply systems in wireless nodes for Internet-of-Things (IoT) applications. The proposed converter avoids the use of inductors and is made by a cascade of switching capacitor stages, implementing both step-down and step-up converting ratios, which regulate input sources from 1 V to 60 V to a voltage of about 4 V. Multiple linear regulators are placed at the end of the cascade to provide multiple and stable output voltages for loads such as memories, sensors, processors, wireless transceivers. The multi-output power converter has been integrated in a Bipolar-CMOS-DMOS (BCD) 180 nm technology. As case study, the generation of 3 output voltages has been considered (3 V, 2.7 V, and 1.65 V with load current requirements of 0.3 A, 0.3 A, and 0.12 A, respectively). Thanks to the adoption of a high switching frequency, up to 5 MHz, the only needed passive components are flying capacitors, whose size is below 10 nF, and buffer capacitors, whose size is below 100 nF. These capacitors can be integrated on top of the chip die, creating a 3D structure. This way, the size of the power management unit for IoT and CPS nodes is limited at 18 mm 2 . The proposed converter can also be used with changing input power sources, like power harvesting systems and/or very disturbed power supplies.

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Adaptive load shedding scheme for frequency stability enhancement in microgrids

Cited by 100 publications

References 26 publications

Optimized Planning of Power Source Capacity in Microgrid, Considering Combinations of Energy Storage Devices

Optimized Planning of Power Source Capacity in Microgrid, Considering Combinations of Energy Storage Devices

A real-time evaluation of energy management systems for smart hybrid home Microgrids

Fully-Integrated Converter for Low-Cost and Low-Size Power Supply in Internet-of-Things Applications

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