Decentralized neighbourhood energy management considering residential profiles and welfare for grid load smoothing

Abstract Managing electricity in the grid is a key point to reach energy efficiency while enabling an increased use of renewable energies. To take stakeholders into account, they need to be understood regarding their consumption behaviour. Part of a multidisciplinary approach introducing the involvement of stakeholders in an energy supervisor, this paper introduces a day-ahead energy management system (EMS) incorporating seven consumers profiles along three sensitivities. Aiming to smooth consumption, the developed decentralized optimisation process is presented comparing three different scenarios relying on the variation of a proposed objective function. A critical review using relevant metrics on the presented strategy, the form of the function, as well as the proposed algorithm is developed over the simulation. Hence, this paper aims to validate a consistent method to incorporate predefined consumers profiles together with the grid objectives in grid management.

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