Battery ageing-aware stochastic management of power networks in islanded mode

Alessio Mosca*, Andrea Pozzi, Davide M. Raimondo

*Autore corrispondente per questo lavoro

Risultato della ricerca: Contributo in libroContributo a convegno

Abstract

In this paper, we present an Ageing-Aware Stochastic Optimal Power Flow in presence of Demand Response and Energy Storage Systems (ESSs). A proper use of these latter is fundamental in order to achieve high performance during their whole lifetime. For this reason, we consider a degradation model for the ESSs in the optimization problem. In this way, it is possible to optimize network management by taking into account ageing effects of the ESSs and maximize their lifetime. In order to deal with network uncertainties, we solve a stochastic optimization problem using a scenario approach which allows to provide a-priori level of constraint satisfaction. The effectiveness of the proposed control strategy is tested by performing simulations on IEEE 14 bus.
Lingua originaleEnglish
Titolo della pubblicazione ospite2018 22nd International Conference on System Theory, Control and Computing, ICSTCC 2018 - Proceedings
Pagine571-578
Numero di pagine8
DOI
Stato di pubblicazionePubblicato - 2018
Evento22nd International Conference on System Theory, Control and Computing, ICSTCC 2018 - Romania
Durata: 10 ott 201812 ott 2018

Serie di pubblicazioni

Nome... INTERNATIONAL CONFERENCE ON SYSTEM THEORY, CONTROL AND COMPUTING.

Convegno

Convegno22nd International Conference on System Theory, Control and Computing, ICSTCC 2018
CittàRomania
Periodo10/10/1812/10/18

Keywords

  • Demand Response
  • Energy Storage Systems
  • Stochastic Optimal Power Flow

Fingerprint

Entra nei temi di ricerca di 'Battery ageing-aware stochastic management of power networks in islanded mode'. Insieme formano una fingerprint unica.

Cita questo