4.5 Article

Optimized Power Flow Control to Minimize Congestion in a Modern Power System

期刊

ENERGIES
卷 16, 期 12, 页码 -

出版社

MDPI
DOI: 10.3390/en16124594

关键词

power flow control; distribution system; congestion management; renewable energy integration; curtailment; UPFC; FACTS; optimization; load flow analysis

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In order to reduce congestion and improve the efficiency of the power system, the potential of Power Flow Control (PFC) with Unified Power Flow Controller (UPFC) devices is investigated in a model of a 110 kV distribution system. The optimization of UPFC devices in terms of their number, placement, size, control parameters, and costs shows that PFC can significantly reduce congestion (99.13%) near a critical grid state and reduce congestion by 73.2% considering UPFC costs. The economic analysis reveals the profitability of using UPFCs.
The growing integration of renewable energy sources (RES) into the power system causes congestion to occur more frequently. In order to reduce congestion in the short term and to make the utilization of the power system more efficient in the long term, power flow control (PFC) in the transmission system has been proposed. However, exemplary studies show that congestion will increase also in the distribution system if the transmission system is expanded. For this reason, the potential of PFC to reduce congestion in a model of a real 110 kV distribution system is investigated. Several Unified Power Flow Controller (UPFC) devices are optimized in terms of their number and placement in the power system, their size, control parameters, and costs, by using a Parallel Tempering approach as well as a greedy algorithm. Two optimization variants are considered, one reducing the number of degrees of freedom by integrating system knowledge while the other does not. It is found that near a critical grid state and disregarding costs, PFC can reduce congestion significantly (99.13%). When costs of the UPFCs are taken into account, PFC can reduce congestion by 73.2%. A basic economic analysis of the costs reveals that the usage of UPFCs is profitable. Furthermore, it is found that the reduction in the solution space of the optimization problem leads to better results faster and that, contrary to expectations, the optimization problem is simple to solve. The developed methods allow not only for the determination of the optimal use of UPFCs to minimize congestion, but also to estimate their profitability.

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