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The Integration of Renewable-Distributed Energy Resources into Electrical Power System Expansion with Intermittency Consideration


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DOI: https://doi.org/10.15866/iremos.v14i2.19433

Abstract


This study presents a mixed-integer linear programming model to solve generation and transmission planning problems. Distributed energy resources are considered in the developed model. The intermittent property of distributed energy resources is applied by the k-means clustering method. The multiobjective approach is used by the epsilon constraint method. Finally, the fuzzy decision-making process is implemented to determine the best solution within the generated Pareto sets. The model is implemented into IEEE 24 bus test system. The results show that for each Pareto point, an increase in the DG penetration level reduces the overall planning cost  by 6.08% compared to the planning cost without DG penetration based on the same weighting factor of the objective functions. The results also show that the investment cost of the generator unit and transmission line can be reduced by 20.10% and 22.27%, respectively. Furthermore, handling intermittency using the clustering method of renewable energy resources results in different choices of DG technology compared to the results obtained in authors’ previous publication.
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Keywords


Distributed Generation; Intermittency; k-Means Cluster; Generation Expansion; Transmission Expansion

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References


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