Two-Way Energy Flow Optimization Based on Smart Grid Concept

Manusov, V.Z.; Khasanzoda, Nasrullo; Atabaeva, Lola Sh.

doi:10.1109/icieam.2018.8728765

Cited by 4 publications

(3 citation statements)

References 5 publications

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“…The evolution in cable monitoring is an inherent request of both utilities and customers to improve the energy supply service, enhancing it for the needs of the smart grid. These needs range from constant variability of energy flows following market signals [121] to increase power capacity of cables for solving feeding adequacy-related issues [122].…”

Section: Cable Monitoringmentioning

confidence: 99%

Concepts and Methods to Assess the Dynamic Thermal Rating of Underground Power Cables

et al. 2021

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With the increase in the electrical load and the progressive introduction of power generation from intermittent renewable energy sources, the power line operating conditions are approaching the thermal limits. The definition of thermal limits variable in time has been addressed under the concept of dynamic thermal rating (DTR), with which it is possible to provide a more detailed assessment of the line rating and exploit the electrical system more flexibly. Most of the literature on DTR has addressed overhead lines exposed to different weather conditions. The interest in the dynamic thermal rating of power cables is increasing, considering the evolution of computational methods and advanced systems for cable monitoring. This paper contains an overview of the concepts and methods referring to dynamic cable rating (DCR). Starting from the analytical formulations developed many years ago for determining the power cable rating in steady-state conditions, also reported in International Standards, this paper considers the improvements of these formulations proposed during the years. These improvements are leading to include more specific details in the models used for DCR analysis and the computational methods used to assess the power cable’s thermal conditions buried in soil. This paper is focused on highlighting the path from the initial theories and models to the latest literature contributions. Attention is paid to thermal modelling with different levels of detail, applications of 2D and 3D solvers and simplified models, and their validation based on experimental measurements. A salient point of the overview is considering the DCR impact on reliability aspects, risk estimation, real-time calculations, forecasting, and planning with different time horizons.

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Section: Cable Monitoringmentioning

confidence: 99%

Concepts and Methods to Assess the Dynamic Thermal Rating of Underground Power Cables

et al. 2021

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“…DERs, such as solar panels and electric vehicles used locally on the consumption side, transform users into prosumers to provide clean energy more efficiently and reliably. Benefiting from the evolution of two‐way power flow [1], prosumers with DERs can save on electricity bills by selling surplus power to the grid or participating in energy trading with other prosumers at a relatively lower price. The emergence of prosumers in the grid also enables a paradigm shift toward transactive energy [2].…”

Section: Introductionmentioning

confidence: 99%

Consensus‐based decentralized energy trading for distributed energy resources

Wang

Zhang

Wang

2021

Energy Conversion and Econom

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In smart grids, distributed energy resources (DERs) have penetrated residential zones to provide a new form of electricity supply, mainly from renewable energy. Residential households and commercial buildings with DERs have become prosumers in local grids because they can sell surplus power to others. Research has been initiated to integrate and utilize DERs through better control and communication strategies. With the advances in the Internet of Things (IoT) technology, unprecedented coordination among DERs can be achieved to facilitate energy trading and transactive energy management. However, preventing leakage of user information during the optimization process remains a challenge for researchers, which drives them to develop privacy‐preserving energy management systems. In this study, a fully decentralized transactive energy management method using a consensus‐based algorithm is developed. Specifically, a virtual pool is designed for prosumers to trade energy and exchange information with the support of IoT technologies. The consensus‐based algorithm enables prosumers to obtain an optimal energy schedule independently in a coordinated manner without revealing any personal data. Practical data was used to perform simulations and validate the proposed algorithm. The results showed that the authors' consensus‐based decentralized transactive energy management strategy is feasible and can significantly reduce the overall system cost.

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“…DERs, such as solar panels and electric vehicles used locally on the consumption side, transform users into prosumers providing clean energy more efficiently and reliably. Benefited from the evolution of two-way power flow [1] , prosumers with DERs can save on electricity bills by selling surplus power to the grid or participating in energy trading with other prosumers at a relatively lower price. The emergence of prosumers in the grid also enables a paradigm shift toward transactive energy [2] .…”

Section: Introductionmentioning

confidence: 99%

Consensus-Based Decentralized Energy Trading for Distributed Energy Resources

Wang,

Zhang,

Wang

2021

Preprint

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In smart grids, distributed energy resources (DERs) have penetrated residential zones to provide a new form of electricity supply, mainly from renewable energy. Residential households and commercial buildings with DERs have become prosumers in the local grids, since they can sell surplus power to others. Researches have been initiated to integrate and utilize DERs through better control and communication strategies. With the advances in the Internet of Things (IoT) technology, unprecedented coordination among DERs can be achieved to facilitate energy trading and transactive energy management. However, preventing leakage of users' information during the optimization process keeps challenging researchers, which drives them to develop privacy-preserving energy management systems. In this paper, we develop a fully decentralized transactive energy management using the consensus-based algorithm. To be specific, we design a virtual pool for prosumers to trade energy and exchange information with IoT technologies' support. The consensus-based algorithm enables prosumers to obtain the optimal energy schedule independently in a coordinated manner without revealing any personal data. We use real-world data to perform simulations and validate our developed algorithm. The results show that our consensus-based decentralized transactive energy management strategy is feasible and can significantly reduce the overall system cost.

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Two-Way Energy Flow Optimization Based on Smart Grid Concept

Cited by 4 publications

References 5 publications

Concepts and Methods to Assess the Dynamic Thermal Rating of Underground Power Cables

Concepts and Methods to Assess the Dynamic Thermal Rating of Underground Power Cables

Consensus‐based decentralized energy trading for distributed energy resources

Consensus-Based Decentralized Energy Trading for Distributed Energy Resources

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