Optimal sizing of smart grid storage management system in a microgrid

Bahramirad, Shay; Daneshi, H.

doi:10.1109/isgt.2012.6175774

Cited by 52 publications

(31 citation statements)

References 10 publications

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“…Constraint (2) imposes that the total consumed energy never exceed the amount of energy provided by the supplier. Constraint (3) ensures that the Appliance starting times are scheduled after the arrivals of the service requests, while Constraint (4) imposes that exactly one starting time is assigned to each Appliance.…”

Section: Parametersmentioning

confidence: 99%

“…In order to increase flexibility in the energy utilization, three complementary approaches have been proposed: the first is to equip the grid with high capacity storage banks, capable of storing energy surpluses and to release them in case of energy production deficits [2]. However, today's state-of-theart technology is still immature to allow a widespread introduction of storage plants, which would require tremendous installation and maintenance costs.…”

Section: Introductionmentioning

confidence: 99%

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Privacy-friendly appliance load scheduling in smart grids

Rottondi

Verticale

2013

2013 IEEE International Conference on Smart Grid Communications (SmartGridComm)

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Abstract-The massive integration of renewable energy sources into the power grid ecosystem with the aim of reducing carbon emissions must cope with their intrinsically intermittent and unpredictable nature. Therefore, the grid must improve its capability of controlling the energy demand by adapting the power consumption curve to match the trend of green energy generation. This could be done by scheduling the activities of deferrable electrical appliances. However, communicating the users' needs about the usage of the electrical appliances leaks sensitive information about habits and lifestyles of the customers, thus arising privacy concerns. This paper proposes a privacypreserving framework to allow the coordination of energy consumption without compromising the privacy of the users: the service requests generated by the domestic appliances are diveded in crypto-shares using Shamir Secret Sharing scheme and collected through an anonymous routing protocol based on Crowds by a set of schedulers, which schedule the requests operating directly on the shares. We discuss the security guarantees provided by our proposed infrastructure and evaluate its performance, comparing it with the optimal scheduling obtained through an Integer Linear Programming formulation.

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Section: Parametersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Privacy-friendly appliance load scheduling in smart grids

Rottondi

Verticale

2013

2013 IEEE International Conference on Smart Grid Communications (SmartGridComm)

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“…By microgrid implementation, the cost of supplying energy is lowered, local reliability and power quality is improved, and system emission is reduced. Despite its huge potential and fast development, there are still many problems existing [1]. With the expansion of industrial production scale, large capacity fluctuating loads have gradually emerged, which set higher requirement of tolerance capacity and stability of grid.…”

Section: Introductionmentioning

confidence: 99%

Access-Oriented Energy Storage Configuration Method to Stabilize Fluctuation of Pulsed Load

Hong¹,

Bian²,

Ji³

2015

TOEEJ

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Abstract:It is necessary to minimize the negative influence caused by pulsed load on microgrid. By analyzing impulse load characteristic, access-oriented energy storage, especially super capacitor, turned out to be suitable energy storage to stabilize this huge fluctuation. This paper presents an optimal configuration method of energy storage system (ESS) in microgrid, which is based on the result of spectrum analysis of sample data of pulsed load. This method both takes into consideration the stability of system and energy storage cost at the same time. The effectiveness of this approach was verified by case analysis of a typical steel plant with pulsed load using MATLAB software.

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“…In response to this need, several researches in the field of optimal sizing of ESSs have been conducted, focusing on either microgrids [11][12][13][14][15][16] or high voltage power systems [17][18][19][20][21][22][23]. The list of previous works on the optimal sizing of ESSs is quite extensive.…”

mentioning

confidence: 99%

“…As a consequence, a critical aspect in any BESS project is its size optimization, i.e., the determination of its optimal power and energy ratings. Not appropriately sizing a BESS may not only lead to its underutilization but also to negative results from an economic viewpoint [11,12].…”

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confidence: 99%

Break-Even Points of Battery Energy Storage Systems for Peak Shaving Applications

et al. 2017

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Abstract:In the last few years, several investigations have been carried out in the field of optimal sizing of energy storage systems (ESSs) at both the transmission and distribution levels. Nevertheless, most of these works make important assumptions about key factors affecting ESS profitability such as efficiency and life cycles and especially about the specific costs of the ESS, without considering the uncertainty involved. In this context, this work aims to answer the question: what should be the costs of different ESS technologies in order to make a profit when considering peak shaving applications? The paper presents a comprehensive sensitivity analysis of the interaction between the profitability of an ESS project and some key parameters influencing the project performance. The proposed approach determines the break-even points for different ESSs considering a wide range of life cycles, efficiencies, energy prices, and power prices. To do this, an optimization algorithm for the sizing of ESSs is proposed from a distribution company perspective. From the results, it is possible to conclude that, depending on the values of round trip efficiency, life cycles, and power price, there are four battery energy storage systems (BESS) technologies that are already profitable when only peak shaving applications are considered: lead acid, NaS, ZnBr, and vanadium redox.

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Optimal sizing of smart grid storage management system in a microgrid

Cited by 52 publications

References 10 publications

Privacy-friendly appliance load scheduling in smart grids

Privacy-friendly appliance load scheduling in smart grids

Access-Oriented Energy Storage Configuration Method to Stabilize Fluctuation of Pulsed Load

Break-Even Points of Battery Energy Storage Systems for Peak Shaving Applications

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