Optimal Operation of Microgrids Based on a Radial Basis Function Metamodel

Wang, Can; Wang, Aoqi; Sirui, Chen; Zhang, Gaorui; Zhu, Binxin

doi:10.1109/jsyst.2021.3130760

Cited by 5 publications

(2 citation statements)

References 36 publications

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“…Figure (6) illustrates the charging of electric vehicles during the day in the first case. It indicates the energy purchased during the day in the first case.…”

Section: Numerical Resultsmentioning

confidence: 99%

“…In [5], a proposed approach utilizes an evolutionary algorithm based on Archimedes optimization for optimizing the operation and planning of microgrids, with the objective of reducing economic costs and increasing microgrid profits. In [6], a heuristic algorithm has been proposed as a solution for optimizing the operation of microgrids, taking into account various types of distributed generation resources with the aim of minimizing economic costs. In [7], an approach based on dynamic programming has been proposed for optimizing the real-time operation of multi-energy microgrids, aiming to achieve optimal performance.…”

Section: A Background Reviewmentioning

confidence: 99%

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Optimal Operation of Microgrids With Worst-Case Renewable Energy Outage: A Mixed-Integer Bi-Level Model

Shakerinia,

Meyabadi,

Vahedi

et al. 2023

IEEE Access

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With the increasing penetration of renewable energy resources, such as wind and photovoltaic (PV) production, in future microgrids, challenges arise due to the potential interruption of these resources caused by changing weather conditions. In this paper, we propose a mixed-integer quadratic programming (MIQP) based bi-level model for the optimal operation of microgrids under worst-case (WC) scenarios of renewable energy resource outages. The upper-level problem formulates the minimization of energy loss and load shedding in a demand-side management (DSM) program, as well as optimal charging and discharging of electric vehicles (EVs) and energy storage systems (ESSs). The lower-level problem models the maximization of renewable energy curtailment to account for the worst-case realization of renewable resource outages. A decomposition and re-formulation method is adopted to solve the proposed bi-level optimization model, which includes binary variables in both levels. The proposed model and algorithm are implemented in the Julia programming language and solved with the Gurobi commercial solver. The model is analyzed using a 33-node microgrid under different cases to evaluate its performance, showcasing optimal microgrid operation results under worst-case renewable resource interruptions.

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“…Figure (6) illustrates the charging of electric vehicles during the day in the first case. It indicates the energy purchased during the day in the first case.…”

Section: Numerical Resultsmentioning

confidence: 99%