A Rotating Tidal Current Controller and Energy Router Siting and Capacitation Method Considering Spatio-Temporal Distribution

Junqing Jia, Jia Zhou, Yuan Gao, Chen Shao (), Junda Lu and Jiaoxin Jia
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Junqing Jia: Key Laboratory of Intelligent Power Grid Simulation Enterprise of Inner Mongolia Autonomous Region, Hohhot 010020, China
Jia Zhou: Navigation Inspection Branch, Inner Mongolia Power (Group) Co., Ltd., Hohhot 010020, China
Yuan Gao: Ordos Power Supply Branch, Inner Mongolia Power (Group) Co., Ltd., Ordos 017004, China
Chen Shao: Hebei Key Laboratory of Distributed Energy Storage and Microgrid, North China Electric Power University, Baoding 071003, China
Junda Lu: Hebei Key Laboratory of Distributed Energy Storage and Microgrid, North China Electric Power University, Baoding 071003, China
Jiaoxin Jia: Hebei Key Laboratory of Distributed Energy Storage and Microgrid, North China Electric Power University, Baoding 071003, China

Energies, 2024, vol. 17, issue 23, 1-18

Abstract: As the proportion of new energy access increases year by year, the resulting energy imbalance and voltage/trend distribution complexity of the distribution network system in the spatio-temporal dimension become more and more prominent. The joint introduction of electromagnetic rotary power flow controller (RPFC) and energy router (ER) can improve the high proportion of new active distribution network (ADN) consumption and power supply reliability from both spatial and temporal dimensions. To this end, the paper proposes an ADN expansion planning method considering RPFC and ER access. A two-layer planning model for RPFC and ER based on spatio-temporal characteristics is established, with the upper model being the siting and capacity-setting layer, which takes the investment and construction cost of RPFC and ER as the optimization objective, and the lower model being the optimal operation layer, which takes the lowest operating cost of the distribution network as the objective. The planning model is solved by a hybrid optimization algorithm with improved particle swarm and second-order cone planning. The proposed planning model and solving algorithm are validated with the IEEE33 node example, and the results show that the joint access of RPFC and ER can effectively improve the spatial-temporal distribution of voltage in the distribution network and has the lowest equivalent annual value investment and operation cost.

Keywords: active distribution network expansion planning; rotating current controller; energy router; improved particle swarm algorithm; second order cone planning (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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