A Model Predictive Control Algorithm Suitable to Improve Power Response Characteristic of T-Type Three-Level Converter for Energy Storage

doi:10.3969/j.issn.1000－7229.2016.11.007

Abstract

Abstract: Model predictive control (MPC) has been widely used in battery energy storage system. During each switching cycle of conventional neutral point clamped(NPC) three-level energy storage converter, its output voltage jumping can not exceed the half of the DC bus voltage, which will seriously affect the power response characteristics of the converter MPC. Therefor, this paper proposes the MPC algorithm based on T-type three-level converter for energy storage. Under the premise of ensuring the active power, reactive power and neutral point potential deviation of the converter, we adopt traversing method to obtain the output voltage vector with the minimum switching frequency of the converter, which gives full play to the advantages of no output voltage jump limitation of T-type three-level topology converter. Finally, we use geometric analysis method to compare the power control characteristics between T-type topology and NPC topology converters for energy storage. The analysis results show that the proposed MPC algorithm can greatly improve the power control characteristics of T-type three-level converter for energy storage.

Key words: energy storage, T-type three-level converter, NPC three-level converter, power control, model predictive control

CLC Number:

TM 46

LIU Jianfeng,QIN Lulu. A Model Predictive Control Algorithm Suitable to Improve Power Response Characteristic of T-Type Three-Level Converter for Energy Storage[J]. Electric Power Construction, 2016, 37(11): 41-.

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