TY - JOUR
T1 - Distributed storage capacity reservations in microgrid for LV network operation
AU - Wang, Zhimin
AU - Zhang, Yan
AU - Li, Bo
AU - Li, Ran
AU - Zhang, Zhipeng
PY - 2016/12/1
Y1 - 2016/12/1
N2 - 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.
AB - 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.
KW - demand response
KW - distributed energy management
KW - energy storage
KW - Network operation
UR - http://www.scopus.com/inward/record.url?scp=85010906069&partnerID=8YFLogxK
UR - http://dx.doi.org/10.1016/j.egypro.2016.11.265
UR - http://dx.doi.org/10.1016/j.egypro.2016.11.265
U2 - 10.1016/j.egypro.2016.11.265
DO - 10.1016/j.egypro.2016.11.265
M3 - Article
AN - SCOPUS:85010906069
SN - 1876-6102
VL - 103
SP - 153
EP - 158
JO - Energy Procedia
JF - Energy Procedia
ER -