RETRACTED: Recent Trends, Challenges, and Future Aspects of P2P Energy Trading Platforms in Electrical-Based Networks Considering Blockchain Technology: A Roadmap Toward Environmental Sustainability

Javed, Haseeb; Irfan, Muhammad; Shehzad, Moazzam; Muqeet, Hafiz Abdul; Akhter, Jumshed; Dagar, Vishal; Guerrero, Josep M.

doi:10.3389/fenrg.2022.810395

Cited by 26 publications

(25 citation statements)

References 142 publications

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“…The system contributes to the programs like DR (Demand Response) that manage the flexible or non-flexible loads effectively [ 111 ]. Net metering is also carefully undertaken to exchange the power among the utility while lessening the cost of non-supply of energy to the consumer end with the consideration of DER investments [ 112 ]. A robust optimization method is implemented that considers many errors that forecast in the future for consideration of load, market prices, and variable renewable generation [ 113 ].…”

Section: Microgrid Ems Objective Functions and Constraintsmentioning

confidence: 99%

Sustainable Solutions for Advanced Energy Management System of Campus Microgrids: Model Opportunities and Future Challenges

Muqeet

Javed

Akhter

et al. 2022

Sensors

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Distributed generation connected with AC, DC, or hybrid loads and energy storage systems is known as a microgrid. Campus microgrids are an important load type. A university campus microgrids, usually, contains distributed generation resources, energy storage, and electric vehicles. The main aim of the microgrid is to provide sustainable, economical energy, and a reliable system. The advanced energy management system (AEMS) provides a smooth energy flow to the microgrid. Over the last few years, many studies were carried out to review various aspects such as energy sustainability, demand response strategies, control systems, energy management systems with different types of optimization techniques that are used to optimize the microgrid system. In this paper, a comprehensive review of the energy management system of campus microgrids is presented. In this survey, the existing literature review of different objective functions, renewable energy resources and solution tools are also reviewed. Furthermore, the research directions and related issues to be considered in future microgrid scheduling studies are also presented.

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Section: Microgrid Ems Objective Functions and Constraintsmentioning

confidence: 99%

Sustainable Solutions for Advanced Energy Management System of Campus Microgrids: Model Opportunities and Future Challenges

Muqeet

Javed

Akhter

et al. 2022

Sensors

Self Cite

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“…Environmental protection is the main objective in the development of future energy storage systems. These storage systems should have no adverse effects during and after their usable lifecycles and these must have a larger contribution in reducing the greenhouse gas emission [107,108]. The large-scale utilization and production of batteries is a source of environmental pollution because it is associated with the outflow of hazardous gases and waste chemical materials, and presently, CAES or PHES are good alternatives to battery energy storage systems [109,110].…”

Section: Environment Friendlymentioning

confidence: 99%

Latest Energy Storage Trends in Multi-Energy Standalone Electric Vehicle Charging Stations: A Comprehensive Study

et al. 2022

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The popularity of electric vehicles (EVs) is increasing day by day due to their environmentally friendly operation and high milage as compared to conventional fossil fuel vehicles. Almost all leading manufacturers are working on the development of EVs. The main problem associated with EVs is that charging many of these vehicles from the grid supply system imposes an extra burden on them, especially during peak hours, which results in high per-unit costs. As a solution, EV charging stations integrated with hybrid renewable energy resources (HREs) are being preferred, which utilize multi-energy systems to produce electricity. These charging stations can either be grid-tied or isolated. Isolated EV charging stations are operated without any interconnection to the main grid. These stations are also termed standalone or remote EV charging stations, and due to the absence of a grid supply, storage becomes compulsory for these systems. To attain maximum benefits from a storage system, it must be configured properly with the EV charging station. In this paper, different types of the latest energy storage systems (ESS) are discussed with a comprehensive review of configurations of these systems for multi-energy standalone EV charging stations. ESS in these charging stations is applied mainly in three different configurations, named single storage systems, multi-storage systems, and swappable storage systems. These configurations are discussed in detail with their pros and cons. Some important expectations from future energy storage systems are also highlighted.

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“…This is due to the conflicting interests of prosumers and grid operators, as discussed in Section 1, as well as the flexibility of the smart grid, where new nodes are constantly being added and leaving the network. As clearly stated in [26], energy demand response remains an open problem in current smart grids and P2P energy trading platforms, as many bus voltages exceed the voltage limit applicable to the grid. In this context, we believe that establishing a Nash game arbitrated by a decentralized smart contract to create competition among provers proposing solutions to the OPF problem, and accordingly rewarding those with the optimal proposals, would significantly reduce the on-chain computations while providing a fully decentralized energy demand management system.…”

Section: Motivationmentioning

confidence: 99%

Fully Decentralized, Cost-Effective Energy Demand Response Management System with a Smart Contracts-Based Optimal Power Flow Solution for Smart Grids

et al. 2022

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Recent advances in control, communication, and management systems, as well as the widespread use of renewable energy sources in homes, have led to the evolution of traditional power grids into smart grids, where passive consumers have become so-called prosumers that feed energy into the grid. On the other hand, the integration of blockchain into the smart grid has enabled the emergence of decentralized peer-to-peer (P2P) energy trading, where prosumers trade their energy as tokenized assets. Even though this new paradigm benefits both distribution grid operators and end users in many ways. Nevertheless, there is a conflict of interest between the two parties, as on the one hand, prosumers want to maximize their profit, while on the other hand, distribution system operators (DSOs) seek an optimal power flow (OPF) operating point. Due to the complexity of formulating and solving OPF problems in the presence of renewable energy sources, researchers have focused on mathematical modeling and effective solution algorithms for such optimization problems. However, the control of power generation according to a defined OPF solution is still based on centralized control and management units owned by the DSO. In this paper, we propose a novel, fully decentralized architecture for an OPF-based demand response management system that uses smart contracts to force generators to comply without the need for a central authority or hardware.

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RETRACTED: Recent Trends, Challenges, and Future Aspects of P2P Energy Trading Platforms in Electrical-Based Networks Considering Blockchain Technology: A Roadmap Toward Environmental Sustainability

Cited by 26 publications

References 142 publications

Sustainable Solutions for Advanced Energy Management System of Campus Microgrids: Model Opportunities and Future Challenges

Sustainable Solutions for Advanced Energy Management System of Campus Microgrids: Model Opportunities and Future Challenges

Latest Energy Storage Trends in Multi-Energy Standalone Electric Vehicle Charging Stations: A Comprehensive Study

Fully Decentralized, Cost-Effective Energy Demand Response Management System with a Smart Contracts-Based Optimal Power Flow Solution for Smart Grids

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