An Energy Scheduling Algorithm Supporting Power Quality Management in Commercial Building Microgrids

This paper presents an energy scheduling algorithm for a small-scale microgrid serving small to medium size commercial buildings (the building microgrid) that includes conventional and renewable distributed generation resources, energy storage, and both linear and nonlinear loads. An essential study...

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Bibliographic Details
Published in:IEEE transactions on smart grid 2016-03, Vol.7 (2), p.1044-1056
Main Authors: Mingguo Hong, Xiangyang Yu, Nan-Peng Yu, Loparo, Kenneth A.
Format: Article
Language:English
Subjects:
Algorithms
Buildings
Buildings-to-grid integration
Commercial buildings
Construction
Devices
distributed {generation} (DG)
Economics
Electric power grids
Energy storage
Harmonic analysis
Harmonic distortion
harmonic distortions
Integer programming
microgrid
Microgrids
Power quality
Scheduling
Scheduling algorithms
transaction-based framework
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Summary:This paper presents an energy scheduling algorithm for a small-scale microgrid serving small to medium size commercial buildings (the building microgrid) that includes conventional and renewable distributed generation resources, energy storage, and both linear and nonlinear loads. An essential study objective is to mitigate power quality issues through coordinating the operating schedules of sensitive devices in the building microgrid. The proposed energy scheduling algorithm is formulated as a mixed integer programming problem where power quality requirements are modeled in the constraints. The algorithm also involves validation with the harmonics and dynamic event simulations. Case studies have been performed with realistic model parameters to verify the performance of the algorithm. This paper results demonstrate the effectiveness of the algorithm in managing voltage and frequency deviations, as well as harmonic distortions. In the transaction-based control framework, the proposed algorithm can be used to aggregate device transaction bids and facilitate the buildings-to-grid integration.
ISSN:1949-3053
1949-3061
DOI:10.1109/TSG.2014.2379582