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Multi-Regional Optimal Power Flow Using Marine Predators Algorithm Considering Load and Generation Variability
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DOI：10.1109/ACCESS.2021.3081374.png)
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摘要
En 中文
This paper introduces the application of a newly developed heuristic nature-inspired optimization technique, viz, tuned Marine Predator Algorithm (MPA), to solve the optimal power flow (OPF) problem of multi-regional systems. The paper proposes MPA parameters' tuning to enhance the algorithm performance. The paper takes into account the variability of different types of renewable energy resources (RERs) and loads. Two modeling approaches are presented: holistic (multi-regions are modeled as one large network) and inter-bounded (modeling the regional interfaces). The MPA is applied to the IEEE-48 bus connected system, and the results are compared with another well-established heuristic algorithm, namely the Genetic Algorithm (GA). The results demonstrate the validation, applicability and effectiveness of using the MPA for solving multi-region OPF problem considering renewable energy sources and load variability.
Keyword:
Optimization
Renewable energy sources
Load flow
Load modeling
Mathematical model
Power system stability
Matrices
IEEE 48-Bus system
marine predator algorithm
multi-regional systems
optimal power flow
renewable energy resources
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期刊
IF:
3.6
论文数:
9.8W
被引数:
29.4W
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