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  4. Dispatching active distribution networks through electrochemical storage systems and demand side management
 
conference paper

Dispatching active distribution networks through electrochemical storage systems and demand side management

Fabietti, Luca  
•
Gorecki, Tomasz Tadeusz  
•
Namor, Emil  
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2017
Proceedings of the 1st IEEE Conference on Control Technology and Applications
1st IEEE Conference on Control Technology and Applications

In this paper, the problem of dispatching the operation of a distribution feeder comprising a set of heterogeneous resources is investigated. In particular, the main objective is to track a 5-minute resolution trajectory, called the \textit{dispatch plan} that is computed one day before the beginning of operation. During real-time operation, due to the stochasticity of part of the resources in the feeder portfolio, tracking errors need to be absorbed in order to track the committed dispatch plan. This is achieved by modulating the power consumption of a grid-connected battery energy storage system (BESS) and of the HVAC system of a commercial controllable building (CB). To this end, a hierarchical multi-time-scale controller is designed to coordinate the two entities while requiring a minimal communication infrastructure. The effectiveness of the proposed control framework is demonstrated by means of a set of full-day experimental results on the 20kV distribution feeder of the EPFL campus that is comprised of: 1) a set of uncontrollable resources represented by 5 office buildings (350kWp) and a roof-top PV installation (90kWp) 2) a set of controllable resources, namely, a grid-connected BESS (720kVA-500kWh), and a fully-occupied multi-zone office building (45 kWp).

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Type
conference paper
DOI
10.1109/CCTA.2017.8062629
Author(s)
Fabietti, Luca  
Gorecki, Tomasz Tadeusz  
Namor, Emil  
Sossan, Fabrizio  
Paolone, Mario  
Jones, Colin Neil  
Date Issued

2017

Published in
Proceedings of the 1st IEEE Conference on Control Technology and Applications
ISBN of the book

978-1-5090-2182-6

Subjects

Demand response

•

Battery Electric Energy System (BESS)

•

Model Predictive Control (MPC)

•

Forecasting

•

epfl-smartgrids

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LA3  
DESL  
Event nameEvent placeEvent date
1st IEEE Conference on Control Technology and Applications

Big Island, Hawaii, USA

August 27-30, 2017

Available on Infoscience
March 23, 2017
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/135763
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