Within electrical distribution networks, substation constraint management requires that aggregated power demand from residential users is kept within suitable bounds. Efficiency of substation constraint management can be measured as the reduction of constraint violations w.r.t. unmanaged demand. Home batteries hold the promise of enabling efficient and user-oblivious substation constraint management. Centralized control of home batteries would achieve optimal efficiency. However, it is hardly acceptable by users, since service providers (e.g., utilities or aggregators) would directly control batteries at user premises. Unfortunately, devising efficient hierarchical control strategies, thus overcoming the above problem, is far from easy. In this article, we present a novel two-layer control strategy for home batteries that avoids direct control of home devices by the service provider and at the same time yields near-optimal substation constraint management efficiency. Our simulation results on field data from 62 households in Denmark show that the substation constraint management efficiency achieved with our approach is at least 82% of the one obtained with a theoretical optimal centralized strategy.

A Two-Layer Near-Optimal Strategy for Substation Constraint Management via Home Batteries

Melatti, I
;
2022-01-01

Abstract

Within electrical distribution networks, substation constraint management requires that aggregated power demand from residential users is kept within suitable bounds. Efficiency of substation constraint management can be measured as the reduction of constraint violations w.r.t. unmanaged demand. Home batteries hold the promise of enabling efficient and user-oblivious substation constraint management. Centralized control of home batteries would achieve optimal efficiency. However, it is hardly acceptable by users, since service providers (e.g., utilities or aggregators) would directly control batteries at user premises. Unfortunately, devising efficient hierarchical control strategies, thus overcoming the above problem, is far from easy. In this article, we present a novel two-layer control strategy for home batteries that avoids direct control of home devices by the service provider and at the same time yields near-optimal substation constraint management efficiency. Our simulation results on field data from 62 households in Denmark show that the substation constraint management efficiency achieved with our approach is at least 82% of the one obtained with a theoretical optimal centralized strategy.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11697/221761
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