Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/106303
Title: Multiobjective joint economic dispatching of a microgrid with multiple distributed generation
Authors: Hou, Hui
Xue, Mengya
Xu, Yan
Tang, Jinrui
Zhu, Guorong
Liu, Peng
Xu, Tao
Keywords: Economic Dispatch
Microgrid
DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2018
Source: Hou, H., Xue, M., Xu, Y., Tang, J., Zhu, G., Liu, P., & Xu, T. (2018). Multiobjective Joint Economic Dispatching of a Microgrid with Multiple Distributed Generation. Energies, 11(12), 3264-. doi:10.3390/en11123264
Series/Report no.: Energies
Abstract: Based on the operation characteristics of each dispatch unit, a multi-objective hierarchical Microgrid (MG) economic dispatch strategy with load level, source-load level, and source-grid-load level is proposed in this paper. The objective functions considered are to minimize each dispatching unit’s comprehensive operating cost (COC), reduce the power fluctuation between the MG and the main grid connect line, and decrease the remaining net load of the MG after dispatch by way of energy storage (ES) and clean energy. Firstly, the load level takes electric vehicles (EVs) as a means of controlling load to regulate the MG’s load fluctuation using its energy storage characteristics under time-of-use (TOU) price. Then, in order to minimize the remaining net load of the MG and the COC of the ES unit through Multiobjective Particle Swarm Optimization (MPSO), the source-load level adopts clean energy and ES units to absorb the optimized load from the load level. Finally, the remaining net load is absorbed by the main grid and diesel engines (DE), and the remaining clean energy is sold to the main grid to gain benefits at the source-grid-load level. Ultimately, the proposed strategy is simulated and analyzed with a specific example and compared with the EVs’ disorderly charging operation and MG isolated grid operation, which verifies the strategy’s scientificity and effectiveness.
URI: https://hdl.handle.net/10356/106303
http://hdl.handle.net/10220/48900
ISSN: 1996-1073
DOI: 10.3390/en11123264
Rights: © 2018 by the Authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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