A Robust Approach to manage Demand Response for power distribution system planning

Celli, Gianni
Primo
;
Sechi, Luigi;Soma, Gian Giuseppe
2020-01-01

Abstract

The efficient development of modern distribution system requires the deployment of flexibility services provided by Distributed Energy Resources, like distributed generation, electric energy storage and demand response. This kind of planning tools have to be risk-based, in order to deal with the high level of uncertainties introduced by these new technologies. Suitable models and methodologies for the consideration of the value at risk associated to each choice are essential to compare innovative and conventional planning solutions. In the paper, Demand Response has been modelled with its possible payback effect and the optimal exploitation of this flexibility service with a predefined confidence (residual risk) has been estimated by means of a Robust Linear Programming optimization. The effectiveness of the proposed methodology is demonstrated on a simple distribution network.
2020
Inglese
2020 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2020
978-1-7281-2822-1
IEEE
1
6
6
16th International Conference on Probabilistic Methods Applied to Power Systems
Contributo
Esperti anonimi
18-21 Agosto 2020
Liegi
internazionale
scientifica
Robust Optimization; Demand Response; Linear Programming; Risk-based planning
no
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
Celli, Gianni; Sechi, Luigi; Soma, Gian Giuseppe
273
3
4.1 Contributo in Atti di convegno
reserved
info:eu-repo/semantics/conferencePaper
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