Paper Info
Title
Multiobjective Risk-Constrained Optimal Bidding Strategy of Smart Microgrids: An IGDT-Based Normal Boundary Intersection Approach
Abstract
Microgrids are faced with various uncertainty resources, which may put their reliable and beneficial bidding strategy at risk. In the literature, to handle the uncertainties, distinctive methodologies from fuzzy to stochastic techniques have been implemented widely. However, they dominantly suffer from dependency to the uncertainty models and are highly computational. In this paper, to overcome the challenges, a new approach based on information gap decision theory (IGDT) is proposed to provide a promising risk-managing bidding strategy. The uncertainties are modeled effectively without relying on the model in both robust and opportunistic frameworks. The problem is formulated as an effective multiobjective optimization problem considering the impacts of different uncertainties. Normal boundary intersection technique is utilized to generate evenly distributed Pareto Frontier. Analyzing the IGDT-based numerical results, applied to a test microgrid over a 24-h time horizon, verifies the effectiveness of the proposed bidding strategy structure confronting to the severe uncertainties.
Year
DOI
Venue
2019
10.1109/TII.2018.2850533
IEEE Transactions on Industrial Informatics
Keywords
Field
DocType
Microgrids,Uncertainty,Robustness,Stochastic processes,Optimization,Computational modeling
Mathematical optimization,Time horizon,Information gap decision theory,Computer science,Fuzzy logic,Stochastic process,Robustness (computer science),Control engineering,Bidding,Microgrid,Pareto principle
Journal
Volume
Issue
ISSN
15
3
1551-3203
Citations 
PageRank 
References 
1
0.37
0
Authors
4
Name
Order
Citations
PageRank
Navid Rezaei131.39
Abdollah Ahmadi2135.21
Amirhossein H. Khazali341.77
Jamshid Aghaei45419.74