Distributed storage capacity reservations in microgrid for LV network operation

Zhimin Wang, Yan Zhang, Bo Li, Ran Li, Zhipeng Zhang

Research output: Contribution to journalArticle

Abstract

This paper introduces a novel method for Low Voltage (LV) network management with diverse distributed energy storage batteries in microgrid. These batteries are used for demand response, allowing distributed network operators (DNOs) to reserve part of storage capacity for relieving network congestion by releasing stored energy. The major difficulty in carrying out storage capacity reservations among diverse customers is the reserved capacity quantification for each type of customers based on the identified network pressure degree and duration. To overcome this difficulty, the algorithm of storage capacity reservation can be considered from both technical and financial sides. In the proposed approach, the amounts of reserved storage capacities are basically evaluated following two criteria: contribution of customers to network pressure and operational cost of storage battery. Besides, an optimal solution for allocating reservation amount is put forward through an enhanced mixed reservation algorithm. A case study is carried out in a practical network in UK to implement the proposed method for network pressure mitigation and investment deferral.

Original languageEnglish
Pages (from-to)153-158
Number of pages6
JournalEnergy Procedia
Volume103
DOIs
Publication statusPublished - 1 Dec 2016

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Electric potential
Network management
Energy storage
Costs

Keywords

  • demand response
  • distributed energy management
  • energy storage
  • Network operation

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Distributed storage capacity reservations in microgrid for LV network operation. / Wang, Zhimin; Zhang, Yan; Li, Bo; Li, Ran; Zhang, Zhipeng.

In: Energy Procedia, Vol. 103, 01.12.2016, p. 153-158.

Research output: Contribution to journalArticle

Wang, Zhimin ; Zhang, Yan ; Li, Bo ; Li, Ran ; Zhang, Zhipeng. / Distributed storage capacity reservations in microgrid for LV network operation. In: Energy Procedia. 2016 ; Vol. 103. pp. 153-158.
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