Multiobjective Reactive Power Optimization of Renewable Energy Power Plants Based on Time-and-Space Grouping Method

Linan Qu, Shujie Zhang, Hsiung-Cheng Lin, Ning Chen and Lingling Li
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Linan Qu: Province-Ministry Joint Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability, School of Electronic Engineering, Hebei University of Technology, Tianjin 300130, China
Shujie Zhang: School of Electrical Engineering, Xi’an University of Technology, Xi’an 710048, China
Hsiung-Cheng Lin: Department of Electronic Engineering, National Chin-Yi University of Technology, Taichung 41170, Taiwan
Ning Chen: China Electric Power Research Institute (Nanjing), Nanjing 210003, China
Lingling Li: Province-Ministry Joint Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability, School of Electronic Engineering, Hebei University of Technology, Tianjin 300130, China

Energies, 2020, vol. 13, issue 14, 1-15

Abstract: The large-scale renewable energy power plants connected to a weak grid may cause bus voltage fluctuations in the renewable energy power plant and even power grid. Therefore, reactive power compensation is demanded to stabilize the bus voltage and reduce network loss. For this purpose, time-series characteristics of renewable energy power plants are firstly reflected using K-means++ clustering method. The time group behaviors of renewable energy power plants, spatial behaviors of renewable energy generation units, and a time-and-space grouping model of renewable energy power plants are thus established. Then, a mixed-integer optimization method for reactive power compensation in renewable energy power plants is developed based on the second-order cone programming (SOCP). Accordingly, power flow constraints can be simplified to achieve reactive power optimization more efficiently and quickly. Finally, the feasibility and economy for the proposed method are verified by actual renewable energy power plants.

Keywords: renewable energy generation; grid-connected; reactive power configuration; K-means++ clustering; optimal economic operation (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: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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