On the application of Home Energy Management Systems for power grid support

Abstract

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Multiple Home-to-Home Energy Transactions for Peak Load Shaving

“…A consensus-based methodology is presented in [26] for p-p local markets. Multi-agent-based methodologies for local energy trading or sharing are also adopted in [27] and [28]. Many researchers concentrated on the P-P energy transactions pricing mechanism [29] such as social-welfarebased optimization approach [30], mid-market rate (MMR) method [17], and SDR approach [12].…”

“…Therefore, it is expected that the proposed peak demand management will help consumers to reduce their electricity costs, and the utilities to maintain reliable operation of their system. The proposed method is compared with the existing literature [27], [13] and [28]. Authors in [27] proposed a multi-agent based system that prevent the rebound peaks.…”

Intrusion Detection with Unsupervised Techniques for Network Management Protocols over Smart Grids

“…The main problem of the electric sector is that the levels of energy production must be equivalent to the amount of energy being consumed [6]. This justifies the need for energy storage systems which mitigate problems associated with unbalanced generation and consumption levels [7]. Thanks to this kind of system, when excess energy is generated, the excess consumption can be stored, similarly, when the energy needs are greater than the amount of generated energy, the storage system may supply the required energy.…”

“…The Smart Grid makes it possible to measure the levels of energy generation/consumption and forecast the future levels of both variables, making it possible to manage the entire system more effectively. Nevertheless, the task of precisely adjusting energy generation to demand continues to be very complex, thus, it is preferable to use an energy storage system [7].…”

Bioinspired Hybrid Model to Predict the Hydrogen Inlet Fuel Cell Flow Change of an Energy Storage System

“…With the aim to take decisions, more important than doing the above is to predict the behavior for matching the demand and the generation. Energy storage is a very helpful tool to achieve this goal [10].…”