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Title: Multi-time scale control of demand flexibility in smart distribution networks

Abstract

This study presents a multi-timescale control strategy to deploy demand flexibilities of electric vehicles (EV) for providing system balancing and local congestion management by simultaneously ensuring economic benefits to participating actors. First, the EV charging problem from consumer, aggregator, and grid operator’s perspective is investigated. A hierarchical control architecture (HCA) comprising scheduling, coordinative, and adaptive layers is then designed to realize their coordinative goal. This is realized by integrating a multi-time scale control, which works from a day-ahead scheduling up to real-time adaptive control. The performance of the developed method is investigated with high EV penetration in a typical distribution network. The simulation results demonstrates that HCA exploit EV flexibility to solve grid unbalancing and congestions with simultaneous maximization of economic benefits by ensuring EV participation to day-ahead, balancing, and regulation markets. For the given network configuration and pricing structure, HCA ensures the EV owners to get paid up to 5 times the cost they were paying without control.

Authors:
 [1];  [1]; ORCiD logo [2];  [3]
  1. Idaho National Lab. (INL), Idaho Falls, ID (United States)
  2. Aalborg Univ., Aalborg (Denmark)
  3. Michigan Technological Univ., Houghton, MI (United States)
Publication Date:
Research Org.:
Idaho National Lab. (INL), Idaho Falls, ID (United States)
Sponsoring Org.:
USDOE Office of Nuclear Energy (NE)
OSTI Identifier:
1357777
Report Number(s):
INL/JOU-16-40003
Journal ID: ISSN 1996-1073; ENERGA; PII: en10010037
Grant/Contract Number:  
AC07-05ID14517
Resource Type:
Accepted Manuscript
Journal Name:
Energies (Basel)
Additional Journal Information:
Journal Name: Energies (Basel); Journal Volume: 10; Journal Issue: 1; Journal ID: ISSN 1996-1073
Publisher:
MDPI AG
Country of Publication:
United States
Language:
English
Subject:
25 ENERGY STORAGE; 24 POWER TRANSMISSION AND DISTRIBUTION; 32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; congestion management; demand response; electric vehicle; hierarchical charging; smart charging; smart grid; hierarchical control; microgrid

Citation Formats

Bhattarai, Bishnu, Myers, Kurt, Bak-Jensen, Birgitte, and Paudyal, Sumit. Multi-time scale control of demand flexibility in smart distribution networks. United States: N. p., 2017. Web. doi:10.3390/en10010037.
Bhattarai, Bishnu, Myers, Kurt, Bak-Jensen, Birgitte, & Paudyal, Sumit. Multi-time scale control of demand flexibility in smart distribution networks. United States. doi:10.3390/en10010037.
Bhattarai, Bishnu, Myers, Kurt, Bak-Jensen, Birgitte, and Paudyal, Sumit. Sun . "Multi-time scale control of demand flexibility in smart distribution networks". United States. doi:10.3390/en10010037. https://www.osti.gov/servlets/purl/1357777.
@article{osti_1357777,
title = {Multi-time scale control of demand flexibility in smart distribution networks},
author = {Bhattarai, Bishnu and Myers, Kurt and Bak-Jensen, Birgitte and Paudyal, Sumit},
abstractNote = {This study presents a multi-timescale control strategy to deploy demand flexibilities of electric vehicles (EV) for providing system balancing and local congestion management by simultaneously ensuring economic benefits to participating actors. First, the EV charging problem from consumer, aggregator, and grid operator’s perspective is investigated. A hierarchical control architecture (HCA) comprising scheduling, coordinative, and adaptive layers is then designed to realize their coordinative goal. This is realized by integrating a multi-time scale control, which works from a day-ahead scheduling up to real-time adaptive control. The performance of the developed method is investigated with high EV penetration in a typical distribution network. The simulation results demonstrates that HCA exploit EV flexibility to solve grid unbalancing and congestions with simultaneous maximization of economic benefits by ensuring EV participation to day-ahead, balancing, and regulation markets. For the given network configuration and pricing structure, HCA ensures the EV owners to get paid up to 5 times the cost they were paying without control.},
doi = {10.3390/en10010037},
journal = {Energies (Basel)},
number = 1,
volume = 10,
place = {United States},
year = {2017},
month = {1}
}

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    Works referencing / citing this record:

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