TY - JOUR
T1 - Toward a Retail Market for Distribution Grids
AU - Haider, Rabab
AU - Baros, Stefanos
AU - Wasa, Yasuaki
AU - Romvary, Jordan
AU - Uchida, Kenko
AU - Annaswamy, Anuradha M.
N1 - Funding Information:
This work was supported in part by NSF under Award EFRI-1441301, in part by the Department of Energy, Office of International Affairs and Office of Electricity under Award DE-IA0000025, in part by JST CREST under Grant JPMJCR15K2, and in part by the Siemens Corporate Technology, Princeton, NJ, USA. Paper no. TSG-00187-2019.
Funding Information:
Manuscript received February 4, 2019; revised June 21, 2019 and November 6, 2019; accepted April 24, 2020. Date of publication May 21, 2020; date of current version October 21, 2020. This work was supported in part by NSF under Award EFRI-1441301, in part by the Department of Energy, Office of International Affairs and Office of Electricity under Award DE-IA0000025, in part by JST CREST under Grant JPMJCR15K2, and in part by the Siemens Corporate Technology, Princeton, NJ, USA. Paper no. TSG-00187-2019. (Corresponding author: Rabab Haider.) Rabab Haider, Stefanos Baros, Jordan Romvary, and Anuradha M. Annaswamy are with the Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139 USA (e-mail: rhaider@mit.edu; sbaros@mit.edu; jromvary@mit.edu; aanna@mit.edu).
Publisher Copyright:
© 2010-2012 IEEE.
PY - 2020/11
Y1 - 2020/11
N2 - Modern active distribution grids are characterized by the increasing penetration of distributed energy resources (DERs). Proper coordination and scheduling of these DERs requires a local retail market which can operate at the distribution grid level. In this paper, we propose a retail market for optimally managing and scheduling DERs, and coordinating ancillary services in a distribution grid. Our proposed retail market leverages a recently proposed distributed proximal atomic coordination (PAC) algorithm which has several advantages over other distributed algorithms, with reduced local computational effort and enhanced privacy. We describe how the market can be implemented using a Distribution System Operator (DSO), whose representatives are located at the primary feeder level and workers are located at the substation level, and how the DSO will interact with the Wholesale Electricity Market. Finally, we extensively validate the performance of the proposed retail market via simulations of three networks: a real distribution grid in Tokyo, a balanced IEEE 123-bus distribution grid, and a modified IEEE 13-bus network. Our results show that the proposed market is practical and can be easily implemented in distribution grids, resulting in optimal real-time scheduling of DERs and compensation in the form of distributed locational marginal prices.
AB - Modern active distribution grids are characterized by the increasing penetration of distributed energy resources (DERs). Proper coordination and scheduling of these DERs requires a local retail market which can operate at the distribution grid level. In this paper, we propose a retail market for optimally managing and scheduling DERs, and coordinating ancillary services in a distribution grid. Our proposed retail market leverages a recently proposed distributed proximal atomic coordination (PAC) algorithm which has several advantages over other distributed algorithms, with reduced local computational effort and enhanced privacy. We describe how the market can be implemented using a Distribution System Operator (DSO), whose representatives are located at the primary feeder level and workers are located at the substation level, and how the DSO will interact with the Wholesale Electricity Market. Finally, we extensively validate the performance of the proposed retail market via simulations of three networks: a real distribution grid in Tokyo, a balanced IEEE 123-bus distribution grid, and a modified IEEE 13-bus network. Our results show that the proposed market is practical and can be easily implemented in distribution grids, resulting in optimal real-time scheduling of DERs and compensation in the form of distributed locational marginal prices.
KW - Distribution grid market
KW - ancillary market
KW - distributed algorithm
KW - optimal power flow
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U2 - 10.1109/TSG.2020.2996565
DO - 10.1109/TSG.2020.2996565
M3 - Article
AN - SCOPUS:85094866081
SN - 1949-3053
VL - 11
SP - 4891
EP - 4905
JO - IEEE Transactions on Smart Grid
JF - IEEE Transactions on Smart Grid
IS - 6
M1 - 9097922
ER -