Title of article :
Micro-grids bidding strategy in a transactive energy market
Author/Authors :
Nezamabadi, H. Department of Electrical Engineering - Abbaspour School of Engineering - Shahid Beheshti University, Tehran, Iran , Vahidinasab, V. Department of Electrical Engineering - Abbaspour School of Engineering - Shahid Beheshti University, Tehran, Iran
Abstract :
This paper proposes Micro-Grid (MG) bidding strategy in the Transactive
Energy Market (TEM) in which market participants are able to negotiate and trade by a
new Smart Contract (SC) in a peer-to-peer way. In such a market, MG can balance its
deviations as a result of the intermittency of the renewable energy sources and the volatility
of the load. The uncertainty was handled by interval optimization. By participation in the
TEM, the MG bidding problem was a bi-level optimization with interval coeffcient, in which
the prot of the MG was maximized in the upper level and the behaviour of the rivals in the
TEM was modelled in the lower level. In order to solve the aforementioned problem, the
proposed model was recast as a single-level interval optimization problem by the Karush-
Kuhn-Tucker (KKT) conditions and the interval optimization concept. Simulation results
showed the applicability of the proposed model and 1.7% increase in the prot of the MG
for a 4-hour-duration-basis TEM.
Keywords :
Bidding strategy , Smart contract , Energy blockchain , Transactive Energy Market (TEM) , Micro-Grids (MGs) , Bi-level optimization , Uncertainty , Interval coeffcient modelling
Journal title :
Scientia Iranica(Transactions D: Computer Science and Electrical Engineering)