Litcius/Paper detail

Holomorphic Embedding Power Flow for AC/DC Hybrid Power Systems Using Bauer's Eta Algorithm

Yudi Zhao, Chongtao Li, Tao Ding, Zhiguo Hao, Fangxing Li

2020IEEE Transactions on Power Systems23 citationsDOI

Abstract

In this paper, the holomorphic embedding power flow method (HELM) is designed to solve the AC/DC hybrid power flow equations. According to the power flow model of the high voltage direct current systems (HVDC), an appropriate embedding technique with three recursive algorithms is developed for three different control modes, which is compatible with existing achievements of HELM for AC systems. In this method, the advantages of HELM, such as non-iterative, deterministic and non-ambiguous, are fully retained. In addition, a new calculation strategy based on Bauer's Eta algorithm is designed for the implementation of Padé approximations and the recursive process to avoid redundant calculations without reducing accuracy. In order to verify the reliability and effectiveness of the proposed extended HELM, several power flow cases with different scale are studied by HELM and traditional iterative method.

Topics & Concepts

Electric power systemHolomorphic functionPower flowEmbeddingAlgorithmPower (physics)Iterative methodFlow (mathematics)Reliability (semiconductor)Power-flow studyControl theory (sociology)Computer scienceMathematicsControl (management)PhysicsMathematical analysisArtificial intelligenceGeometryQuantum mechanicsPower System Optimization and StabilityHVDC Systems and Fault ProtectionOptimal Power Flow Distribution