Recent Developments of Photovoltaics Integrated with Battery Storage Systems and Related Feed-In Tariff Policies: A Review

The paper presents a review of the recent developments of photovoltaics integrated with battery storage systems (PV-BESs) and related to feed-in tariff policies. The integrated photovoltaic battery systems are separately discussed in the regulatory context of Germany, Italy, Spain, United Kingdom, Australia, and Greece; the attention of this paper is focused on those integrated systems subject to incentivisation policies such as feed-in tariff. Most of the contributions reported in this paper consider already existing incentive schemes; the remaining part of the contributions proposes interesting and novel feed-in tariff schemes. All the contributions provide an important resource for carrying out further research on a new era of incentive policies in order to promote storage technologies and integrated photovoltaic battery systems in smart grids and smart cities. Recent incentive policies adopted in Germany, Italy, Spain, and Australia are also discussed.

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A Comprehensive Review of Recent Advances in Smart Grids: A Sustainable Future with Renewable Energy Resources

Energies ◽

10.3390/en13236269 ◽

2020 ◽

Vol 13 (23) ◽

pp. 6269

Author(s):

Ibrahim Alotaibi ◽

Mohammed A. Abido ◽

Muhammad Khalid ◽

Andrey V. Savkin

Keyword(s):

Smart Grid ◽

Smart Grids ◽

Network Reliability ◽

Smart Cities ◽

Automation System ◽

Renewable Energy Resources ◽

Comprehensive Review ◽

New Era ◽

Recent Advances ◽

Grid Applications

The smart grid is an unprecedented opportunity to shift the current energy industry into a new era of a modernized network where the power generation, transmission, and distribution are intelligently, responsively, and cooperatively managed through a bi-directional automation system. Although the domains of smart grid applications and technologies vary in functions and forms, they generally share common potentials such as intelligent energy curtailment, efficient integration of Demand Response, Distributed Renewable Generation, and Energy Storage. This paper presents a comprehensive review categorically on the recent advances and previous research developments of the smart grid paradigm over the last two decades. The main intent of the study is to provide an application-focused survey where every category and sub-category herein are thoroughly and independently investigated. The preamble of the paper highlights the concept and the structure of the smart grids. The work presented intensively and extensively reviews the recent advances on the energy data management in smart grids, pricing modalities in a modernized power grid, and the predominant components of the smart grid. The paper thoroughly enumerates the recent advances in the area of network reliability. On the other hand, the reliance on smart cities on advanced communication infrastructure promotes more concerns regarding data integrity. Therefore, the paper dedicates a sub-section to highlight the challenges and the state-of-the-art of cybersecurity. Furthermore, highlighting the emerging developments in the pricing mechanisms concludes the review.

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Energy storage systems: power grid and energy market use cases

Archives of Electrical Engineering ◽

10.1515/aee-2016-0036 ◽

2016 ◽

Vol 65 (3) ◽

pp. 495-511 ◽

Cited By ~ 14

Author(s):

Przemysław Komarnicki

Keyword(s):

Energy Storage ◽

Smart Grids ◽

Power Plants ◽

Storage Systems ◽

Power Grid ◽

Energy Storage Systems ◽

Large Growth ◽

Operating Strategies ◽

Pumped Storage ◽

Storage Technologies

Abstract Current power grid and market development, characterized by large growth of distributed energy sources in recent years, especially in Europa, are according energy storage systems an increasingly larger field of implementation. Existing storage technologies, e.g. pumped-storage power plants, have to be upgraded and extended by new but not yet commercially viable technologies (e.g. batteries or adiabatic compressed air energy storage) that meet expected demands. Optimal sizing of storage systems and technically and economically optimal operating strategies are the major challenges to the integration of such systems in the future smart grid. This paper surveys firstly the literature on the latest niche applications. Then, potential new use case and operating scenarios for energy storage systems in smart grids, which have been field tested, are presented and discussed and subsequently assessed technically and economically.

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A Widespread Review of Smart Grids Towards Smart Cities

Energies ◽

10.3390/en12234484 ◽

2019 ◽

Vol 12 (23) ◽

pp. 4484 ◽

Cited By ~ 7

Author(s):

Mina Farmanbar ◽

Kiyan Parham ◽

Øystein Arild ◽

Chunming Rong

Keyword(s):

Smart Grids ◽

Fossil Fuels ◽

Smart Cities ◽

Smart Devices ◽

Renewable Energy Resources ◽

Grid Systems ◽

Smart Water ◽

Ecological Problems ◽

Storage Technologies ◽

Near Future

Nowadays, the importance of energy management and optimization by means of smart devices has arisen as an important issue. On the other hand, the intelligent application of smart devices stands as a key element in establishing smart cities, which have been suggested as the solution to complicated future urbanization difficulties in coming years. Considering the scarcity of traditional fossil fuels in the near future, besides their ecological problems the new smart grids have demonstrated the potential to merge the non-renewable and renewable energy resources into each other leading to the reduction of environmental problems and optimizing operating costs. The current paper clarifies the importance of smart grids in launching smart cities by reviewing the advancement of micro/nano grids, applications of renewable energies, energy-storage technologies, smart water grids in smart cities. Additionally a review of the major European smart city projects has been carried out. These will offer a wider vision for researchers in the operation, monitoring, control and audit of smart-grid systems.

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Optimal integration of electric vehicles in smart grids with renewables and battery storage systems under uncertainty

Trends in Computer Science and Information Technology ◽

10.17352/tcsit.000021 ◽

2020 ◽

pp. 048-049

Author(s):

Mohagheghi Erfan ◽

Gasso Joan Gubianes ◽

Li Pu

Keyword(s):

Electric Vehicles ◽

Smart Grids ◽

Storage Systems ◽

Battery Storage ◽

Optimal Integration

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Decision letter for "The viability of battery storage for residential photovoltaic system in Egypt under different incentive policies"

10.1002/2050-7038.12741/v1/decision1 ◽

2020 ◽

Keyword(s):

Battery Storage ◽

Incentive Policies

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Advances in the Application of Machine Learning Techniques for Power System Analytics: A Survey

Energies ◽

10.3390/en14164776 ◽

2021 ◽

Vol 14 (16) ◽

pp. 4776

Author(s):

Seyed Mahdi Miraftabzadeh ◽

Michela Longo ◽

Federica Foiadelli ◽

Marco Pasetti ◽

Raul Igual

Keyword(s):

Machine Learning ◽

Power Systems ◽

Smart Grids ◽

State Of The Art ◽

Smart Cities ◽

Power Grids ◽

Machine Learning Techniques ◽

Learning Techniques ◽

New Research ◽

Traditional Approaches

The recent advances in computing technologies and the increasing availability of large amounts of data in smart grids and smart cities are generating new research opportunities in the application of Machine Learning (ML) for improving the observability and efficiency of modern power grids. However, as the number and diversity of ML techniques increase, questions arise about their performance and applicability, and on the most suitable ML method depending on the specific application. Trying to answer these questions, this manuscript presents a systematic review of the state-of-the-art studies implementing ML techniques in the context of power systems, with a specific focus on the analysis of power flows, power quality, photovoltaic systems, intelligent transportation, and load forecasting. The survey investigates, for each of the selected topics, the most recent and promising ML techniques proposed by the literature, by highlighting their main characteristics and relevant results. The review revealed that, when compared to traditional approaches, ML algorithms can handle massive quantities of data with high dimensionality, by allowing the identification of hidden characteristics of (even) complex systems. In particular, even though very different techniques can be used for each application, hybrid models generally show better performances when compared to single ML-based models.

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Interface Converters for Residential Battery Energy Storage Systems: Practices, Difficulties and Prospects

Energies ◽

10.3390/en14123365 ◽

2021 ◽

Vol 14 (12) ◽

pp. 3365

Author(s):

Ilya A. Galkin ◽

Andrei Blinov ◽

Maxim Vorobyov ◽

Alexander Bubovich ◽

Rodions Saltanovs ◽

...

Keyword(s):

Energy Storage ◽

Storage Systems ◽

Residential Energy ◽

Energy Storage Systems ◽

Electric Power Grid ◽

Battery Energy Storage Systems ◽

Recent Trends ◽

Battery Energy ◽

Storage Technologies ◽

Renewable Energy Generation

Recent trends in building energy systems such as local renewable energy generation have created a distinct demand for energy storage systems to reduce the influence and dependency on the electric power grid. Under the current market conditions, a range of commercially available residential energy storage systems with batteries has been produced. This paper addresses the area of energy storage systems from multiple directions to provide a broader view on the state-of-the-art developments and trends in the field. Present standards and associated limitations of storage implementation are briefly described, followed by the analysis of parameters and features of commercial battery systems for residential applications. Further, the power electronic converters are reviewed in detail, with the focus on existing and perspective non-isolated solutions. The analysis covers well-known standard topologies, including buck-boost and bridge, as well as emerging solutions based on the unfolding inverter and fractional/partial power converters. Finally, trends and future prospects of the residential battery storage technologies are evaluated.

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