Home energy resource scheduling algorithms and their dependency on the battery model

Squartini, Stefano; Fuselli, Danilo; Boaro, Matteo; Angelis, Francesco De; Piazza, Francesco

doi:10.1109/ciasg.2013.6611508

Cited by 19 publications

(16 citation statements)

References 16 publications

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“…In [19] the performances of several different algorithms commonly used for battery system scheduling are compared with respect to their dependency on battery characteristics such as capacity and charge/discharge rate. They found that an action dependent heuristic dynamic programing (ADHDP) model performed the best over the widest range of battery specifications.…”

Section: Automating Demand Responsementioning

confidence: 99%

Optimization of residential battery energy storage system scheduling for cost and emissions reductions

Olivieri

McConky

2020

Energy and Buildings

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Section: Automating Demand Responsementioning

confidence: 99%

Optimization of residential battery energy storage system scheduling for cost and emissions reductions

Olivieri

McConky

2020

Energy and Buildings

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“…In [266], adaptive DP (ADP) is employed in an office building for the optimal control of battery energy management. In [267], a comparative study of various methods for implementing residential energy scheduling with respect to a battery model, charging/discharging rate and capacity is conducted. An intelligent dynamic energy management system (I-DEMS) for optimally using RESs and an ESS for maintaining a continuous electricity supply to critical loads by applying ADP is developed in [268].…”

Section: Challenges Of Microgridsmentioning

confidence: 99%

Evolution of Microgrids with Converter-Interfaced Generations: Challenges and Opportunities

Hossain¹,

Pota²,

Hossain³

et al. 2018

Preprint

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Although microgrids facilitate the increased penetration of distributed generations (DGs) and improve the security of power supplies, they have some issues that need to be better understood and addressed before realising the full potential of microgrids. This paper presents a comprehensive list of challenges and opportunities supported by a literature review on the evolution of converter-based microgrids. The discussion in this paper presented with a view to establishing microgrids as distinct from the existing distribution systems. This is accomplished by, firstly, describing the challenges and benefits of using DG units in a distribution network and then those of microgrid ones. Also, the definitions, classifications and characteristics of microgrids are revised according to their specific roles to provide a sound basis for novice researchers to undertake ongoing research on microgrids.

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“…For a smart power system, Renewable Energy Sources (RES) are supposed to supply electric power to the grid as much as they could. Due to the increasingly diminution of fossil fuels and the associated environmental problems, sustainability of the energy sources are crucial concerns for most countries [2][3][4][5].…”

Section: A Motivation and Approachmentioning

confidence: 99%

“…It minimizes the RES-ESS mix investment cost which is calculated by multiplying the PV, WPP, and total battery capacity to their corresponding capital cost. Constraint (2) indicates the generation/demand balance for each time period. The left-hand side of this equality represents the total generation of the PV and WPP plus ESS discharging power whilst the right-hand side represents the load plus ESS charging power at every time sample.…”

Section: Deterministic Decision Making Modelmentioning

confidence: 99%

Robust decision making tool for optimal RES-ESS mix of a smart grid-independent research center

Shabanzadeh

Dehbashian

2014

2014 Smart Grid Conference (SGC)

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This paper presents a robust-based procedure to evaluate the impact of uncertainty on optimal sizing of stochastic Renewable Energy Sources (RES) such as photovoltaic panels (PVs) and small-scale wind power plants (WPPs). The feasibility study of an isolated system in the midterm planning horizon is aimed at determining whether it can adequately satisfy the demand. Accordingly, the objective of the model is to provide a convenient decision making framework for supplying the demand of a typical smart research institute merely by RES such that it would guarantee the minimum investment cost. However, due to RES inherent uncertainty, these generators are often unable to meet demand reliably. Given this, smartly operating Energy Storage Systems (ESS) are being advocated as a solution for increasing the reliability of such intermittent renewable sources. An Iranian smart research center is chosen as a case study to illustrate the effectiveness of the proposed model. Index Terms-smart grid, renewable energy sources, optimal sizing, energy storage systems, autonomous hybrid power system. I.

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Home energy resource scheduling algorithms and their dependency on the battery model

Cited by 19 publications

References 16 publications

Optimization of residential battery energy storage system scheduling for cost and emissions reductions

Optimization of residential battery energy storage system scheduling for cost and emissions reductions

Evolution of Microgrids with Converter-Interfaced Generations: Challenges and Opportunities

Robust decision making tool for optimal RES-ESS mix of a smart grid-independent research center

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