LAPSE:2023.6506
Published Article
LAPSE:2023.6506
Mixed-Integer Distributed Ant Colony Optimization of Dump Load Allocation with Improved Islanded Microgrid Load Flow
February 23, 2023
Dump load (DL) utilization at low demand hours in highly penetrated islanded microgrid is of great importance to offer voltage and frequency regulation. Additionally, load flow (LF) convergence is vital to optimize the working states of the DL allocation problem. Hence, more analysis is necessary to highlight the significance of DL in power regulation while observing the influence of LF on solution accuracy. This article proposes two LF techniques derived from backward/forward sweep (BFS), viz., general BFS (GBFS) and improved special BFS (SBFS-II). The latter is based on global voltage shared between generating units, while the former has a more general approach by considering generating bus’s local voltage. The optimal sizing and sitting of DL with optimum droop sets are determined using the mixed-integer distributed ant colony optimization (MIDACO) with the two new LF methods. The optimization problem was formulated to minimize voltage and frequency deviations as well as power losses. The problem was validated on IEEE 69- and 118-bus systems and compared with established metaheuristics. Results show that DL allocation using MIDACO with SBFS-II and GBFS has improved the solution speed and accuracy, respectively. Furthermore, the enhanced voltage and frequency results highlight DL as an efficient power management solution.
Record ID
Keywords
ant colony optimization, backward/forward sweep, droop control, dump load, islanded microgrid, load flow, multi-objective optimization
Subject
Suggested Citation
Kreishan MZ, Zobaa AF. Mixed-Integer Distributed Ant Colony Optimization of Dump Load Allocation with Improved Islanded Microgrid Load Flow. (2023). LAPSE:2023.6506
Author Affiliations
Journal Name
Energies
Volume
16
Issue
1
First Page
213
Year
2022
Publication Date
2022-12-25
Published Version
ISSN
1996-1073
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Original Submission
Other Meta
PII: en16010213, Publication Type: Journal Article
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LAPSE:2023.6506
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doi:10.3390/en16010213
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[v1] (Original Submission)
Feb 23, 2023
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Feb 23, 2023
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