Optimal Generator Dispatching With Uncertain Conditions for Islanded Microgrid

This paper proposes the models to solve the optimal generator dispatching problem in an islanded Micro grid with different uncertainties in the constraint and in the objective coefficient. The optimal problem with interval in the power balance constraint is considered as a linear parametric optimiza...

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Bibliographic Details
Published in:IEEE access 2020, Vol.8, p.125722-125730
Main Authors: Phan, Thi Thanh Binh, Nghia Le, Trong, Phan, Quoc Dung, Nguyen, Khang
Format: Article
Language:English
Subjects:
Algorithms
Bellman- Zadeh approach
Coefficients
Dispatching
Distributed generation
Generators
Intervals
linear parametric optimization
Linear programming
Linearization
Load shedding
Low voltage
microgrid
Optimization
Particle swarm optimization
Power generation
PSO
Uncertainty
Wind forecasting
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Summary:This paper proposes the models to solve the optimal generator dispatching problem in an islanded Micro grid with different uncertainties in the constraint and in the objective coefficient. The optimal problem with interval in the power balance constraint is considered as a linear parametric optimization problem, focusing on optimal solutions based on the lower and upper ends of this interval. When the coefficients of cost per power unit caused by load shedding are imprecise and expressed as intervals, the proposed model will be based on the two ends of interval and the problem is converted to a two-objective problem. With uncertainties in both constraint and objective coefficient, the problem will be treated as a four-objective one, considering the lower and upper ends of all intervals. All models are expressed in the linear forms and the linearization is carried out by Max-Affine method. To solve this multi-objective problem, the Bellman-Zadeh approach and Particle Swarm Optimization (PSO) algorithm are applied. The rationality of the proposed models is confirmed in the case study with one low voltage Micro Grid.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2020.3008747