Mathematical programming methods for microgrid design and operations: a survey on deterministic and stochastic approaches

Guanglei Wang; Hassan Hijazi

doi:10.1007/s10589-018-0015-1

Mathematical programming methods for microgrid design and operations: a survey on deterministic and stochastic approaches

Guanglei Wang^*, Hassan Hijazi

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

5 Citations (Scopus)

Abstract

Planning and operating a power grid is a nontrivial exercise due to conflicting objectives, nonlinear constraints and uncertainties at multiple decision levels. Considerable research work has been dedicated to independently solve different aspects of the overall problem. This survey provides a detailed review of state-of-the-art techniques in mathematical optimization trying to address challenges in this area. We also provide a set of open problems and research perspectives.

Original language	English
Pages (from-to)	553-608
Number of pages	56
Journal	Computational Optimization and Applications
Volume	71
Issue number	2
DOIs	https://doi.org/10.1007/s10589-018-0015-1
Publication status	Published - 1 Nov 2018

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10.1007/s10589-018-0015-1

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title = "Mathematical programming methods for microgrid design and operations: a survey on deterministic and stochastic approaches",

abstract = "Planning and operating a power grid is a nontrivial exercise due to conflicting objectives, nonlinear constraints and uncertainties at multiple decision levels. Considerable research work has been dedicated to independently solve different aspects of the overall problem. This survey provides a detailed review of state-of-the-art techniques in mathematical optimization trying to address challenges in this area. We also provide a set of open problems and research perspectives.",

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AB - Planning and operating a power grid is a nontrivial exercise due to conflicting objectives, nonlinear constraints and uncertainties at multiple decision levels. Considerable research work has been dedicated to independently solve different aspects of the overall problem. This survey provides a detailed review of state-of-the-art techniques in mathematical optimization trying to address challenges in this area. We also provide a set of open problems and research perspectives.

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KW - Uncertainty

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Mathematical programming methods for microgrid design and operations: a survey on deterministic and stochastic approaches

Abstract

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