Applying demand side management using a generalised three phase grid supportive approach

Data-Driven Risk Analysis for Probabilistic Three-Phase Grid-Supportive Demand Side Management

“…This section briefly introduces the universal interface adopted in this work for establishing DSM using a probabilistic, time-horizon, grid-supportive methodology. A more in-depth discussion of this framework can be found in Reference [27]. One of the main features of this interface is that it should work efficiently with all possible DSM applications in the field.…”

“…Depending on the DSM application in place, additional information can be included such as for bidding or pricing information. In the proposed framework of Reference [27], the procurement of flexibility takes place in two stages: (1) time-horizon flexibility based on both probabilistic power flow and machine learning during the DA/ID preventive planning phase, which is the main topic of this paper and (2) real-time flexibility based on state estimation during the corrective execution phase, as described in Reference [27].…”

“…It is expected that SE capabilities must be expanded from transmission to distribution networks to gain insight in the network system states and allow for the control applications, which is mentioned earlier [31]. Within the real-time execution phase, real-time insight in the actual system states will be crucial to trigger these control applications as well as real-time flexibility from DSM applications, which is described in Reference [27].…”

“…To procure the right amount of flexibility from the DSM application, the DSO needs to know how much flexibility will be required to solve the OLV depending on the geographical location at which the flexibility is delivered. As stated in the introduction section, this work uses the linearized sensitivity of the network system states, which has been used effectively in other studies [27,32]. The sensitivity of the probabilistic OLV informs the DSM application what linear combinations in active power flexibility can address the OLV.…”

Gestión de la demanda en las redes inteligentes. Perspectiva y control desde el usuario y la distribuidora

“…También se incorporan nuevas tecnologías del lado de la demanda, que la hacen más fluctuante y con mayores picos, aumentando las perturbaciones en las redes eléctricas. Por estos motivos, muchos investigadores consideran que las redes inteligentes permitirán la gestión de la demanda y precisarán de programas de Respuesta a la Demanda (RD) para disminuir la sobredimensión de la red y sus costos asociados, mientras se logra mayor confiabilidad (Blaauwbroek et al, 2017;Kassakian et al, 2011;Restrepo et al, 2018;Seema et al, 2016;Zhu et al, 2015). Bajo estas premisas se han propuesto algoritmos para la gestión residencial de la demanda.…”